Up Down VolatilityThis is just experimental. I wanted the flexibility in looking at volatility and this indicator gives you several ways to do so.
I haven't figured out the best way to use this yet but I suspect that as a form of entry confirmation indicator would be best.
If you find a way this works well for you please drop me a note. It would nice know someone found a way to use it successfully!
The options available are:
* Your source can be price or the ATR.
* It allows you to separate the volatility of the bearish and bullish candles and even allows you to produce differential.
* You can choose to run the result through any one of many smoothers.
With the above options you can look at:
* The normal volatility. That is not split into bearish and bullish components.
* The bearish and bullish volatility and the difference between them.
* The relative bearish and bullish volatility and the difference between them.
The "The relative bearish and bullish" is each one divided into the source before it was split into Up and Down or low/high divided by close which should make the max value roughly around 1.
The code is structured to easily drop into a bigger system so use it as a lone indicator or add the code to some bigger project you are creating. If you do integrate it into something else then send me a note as it would be nice to know it's being well used.
Enjoy and good luck!
Search in scripts for "Up down"
Up-Down RangeHere is an attempt to segregate ATR into ATR of up days and down days.
While setting trailing stops based on ATR, you probably need to consider more on how an instrument can drop during red days. Hence, ATR of only red days makes more compelling case than overall ATR. Another use case for this kind of indicator may be in options if you are selling puts and calls with the intent of pocketing premiums on expiry.
Parameters are as explained below:
Range Type : Different range types are tr (True Range) , close (difference between close prices), highlow (difference between high and low of candle)
Period : ATR Period
Moving Average Type : Moving Average Type for calculating ATR. Two additional types - min and max are added which calculates lowest and highest range in last n bars
HideFullAtr : Hides combined ATR if checked.
Up/Down Trend MarkerA simple indicator of trend by using 3 EMAs of multiplies of 2, 5 and 10, filtered by standard positive/negative directional movements (DM) which are the base of Average Directional Index (ADX).
The "Trend Strength" option is included to set the EMA multipliers and also the variation between DM+ and DM- which interpret the trend as a weak or a strong one.
Note that the markers only point to almost the beginning of the trends and just change the direction when the opposite trend is detected.
Feel free to send me your opinions.
Up Down Volume NYSE - STTA
English:
This indicator shows the NYSE's Up Volume (green) and Down Volume (red), nomalized against Total Volume
Extreme trading days with more than 90 % Volume are marked via triangles (breaches).
Deutsch:
Dieser Indikator zeigt das Up Volume (grün) und NYSE Down Volume (rot) der NYSE, nomaliziert gegen das Total Volume.
Extreme Handelstage mit mehr als 90 % Volume sind gekennzeichnet über Dreiecke (Überschreitungen).
Rounded Grid Levels🟩 Rounded Grid Levels is a visual tool that helps traders quickly identify key psychological price levels on any chart. By dynamically adapting to the user's visible screen area, it provides consistent, easy-to-read round number grids that align with price action. The indicator offers a traditional visualization of horizontal round level grids, along with enhanced options such as tilted grids that align with market sentiment, and fan-shaped grids for alternative price interaction views. It serves purely as a visual aid, providing an adaptable way to observe rounded price levels without making predictions or generating trading signals.
⚡ OVERVIEW ⚡
The Rounded Grid Levels indicator is a visual tool designed to help traders identify and track price levels that may hold psychological significance, such as round numbers or significant milestones. These levels often serve as potential areas for price reactions, including support, resistance, or points of market interest. The indicator's gridlines are determined by user-defined settings and adjust dynamically based on the visible chart area, meaning they are influenced by the user's current zoom level and perspective. This behavior is similar to TradingView's built-in grid lines found in the chart settings canvas, which also adjust in real-time based on the visible screen, ensuring the most relevant price levels are displayed. By default, the indicator provides consistent gridlines to represent traditional round number levels, offering a straightforward view of key psychological areas. Additionally, users have access to experimental and novel configurations, such as fan-shaped layouts, which expand from a central point and adapt directionally based on user settings. This configuration can provide an alternate perspective for traders, especially useful in analyzing broader market moves and visualizing expansion relative to the current price.
Users can display the gridlines in a variety of configurations, including horizontal, neutral, auto, or fan-shaped layouts, depending on their preferred method of analysis. This flexibility allows traders to focus on different types of price action without overcrowding the visual representation of price movements.
This indicator is intended purely as a visual aid for understanding how price interacts with rounded levels over time. It does not generate predictive trading signals or recommendations but rather provides traders with a customizable framework to enhance their market analysis.
⭕ ROUND NUMBERS IN MARKET PSYCHOLOGY ⭕
Round numbers hold a significant place in financial markets, largely due to the psychological tendencies of traders and investors. These levels often represent areas of interest where human behavior, market biases, and trading strategies converge. Whether it's prices ending in 000, 500, or other recognizable values, these levels naturally attract more attention and influence decision-making.
Round numbers can act as key support or resistance levels and often become focal points in market activity. They are frequently highlighted by financial media, embedded in products like options, and serve as foundations for various trading theories. Their impact extends across different market participants and strategies, making them important focal points in both short-term and long-term market analysis.
Round numbers play an important role in guiding trader behavior and market activity. To better understand why these levels are so impactful, there are several key factors that highlight their significance in trading and price dynamics:
Psychological Impact : Humans naturally gravitate toward round numbers, such as prices ending in 000, 500, or 00. These levels tend to draw attention as traders perceive them as psychologically significant. This behavior is rooted in the cognitive bias known as "left-digit bias," where people assign greater importance to rounded, more recognizable numbers. In trading, this means that prices at these levels are more memorable and thus more likely to attract attention, creating an area where traders focus their buying or selling decisions.
Order Clustering : Traders often place buy and sell orders around these rounded levels, either manually or automatically through stop and limit orders. This clustering leads to the formation of visible support or resistance zones, as the concentrated orders tend to influence price behavior around these key levels. Market participants tend to converge their orders around these price points because of their perceived psychological importance, creating a liquidity pocket. As a result, these areas often act as barriers that the price either struggles to cross or uses as springboards for further movement.
External Influences : Financial media frequently highlights round-number milestones, amplifying market sentiment and drawing traders' attention to these levels. Additionally, algorithmic trading systems often react to round-number thresholds, which can further reinforce price movements, creating self-reinforcing reactions at these levels. As media and analysts emphasize these milestones, more traders pay attention to them, leading to increased volume and often heightened volatility at those points. This self-reinforcing cycle makes round numbers an area where price movement can either accelerate due to a breakout or stall because of clustering interest.
Option Strike Prices : Options contracts typically have strike prices set at round numbers, and as expiration approaches, these levels can influence the price of the underlying asset due to concentrated trading activity. The behavior around these levels, often called "pinning," happens because traders adjust their positions to avoid unfavorable scenarios at these key strikes. This activity tends to concentrate price movement toward these levels as traders hedge their positions, leading to increased liquidity and the potential for abrupt price reactions near option expiration dates.
Whole Number Theory : This theory suggests that whole numbers act as natural psychological barriers, where traders tend to make decisions, place orders, or expect price reactions, making these levels crucial for analysis. Whole numbers are simple to remember and are often used as informal targets for profit-taking or stop placement. This behavior leads to a natural ebb and flow around these levels, where the market finds equilibrium temporarily before deciding on a future direction. Whole numbers tend to work like magnets, drawing price to them and often creating reactions that are visible across different timeframes.
Quarters Theory : Commonly used in Forex markets, this theory focuses on quarter-point increments (e.g., 1.0000, 1.2500, 1.5000) as key levels where price often pauses or reverses. These quarter levels are treated as important psychological barriers, with price frequently interacting at these intervals. Traders use these points to gauge market strength or weakness because quarter levels divide larger round-number ranges into more manageable and meaningful segments. For example, in highly traded forex pairs like EUR/USD, traders might treat 1.2500 as a significant barrier because it represents a halfway point between 1.0000 and 1.5000, offering a balanced reference point for decision-making.
Big Round Numbers : Major round numbers, such as 100, 500, or 1000, often attract significant attention and serve as psychological thresholds. Traders anticipate strong reactions when prices approach or cross these levels. This is often because large round numbers symbolize major milestones, and price behavior around them tends to signal important market sentiment shifts. When price crosses a major level, such as a stock moving above $100 or Bitcoin crossing $50,000, it often creates a surge in trading activity as it is viewed as a validation or invalidation of market trends, drawing in momentum traders and triggering both retail and institutional responses.
By visualizing these round levels on the chart, the Rounded Grid Levels indicator helps traders identify areas where price may pause, reverse, or gain momentum. While round numbers provide useful insights, they should be used in conjunction with other technical analysis tools for a comprehensive trading strategy.
🛠️ CONFIGURATION AND SETTINGS 🛠️
The Rounded Grid Levels indicator offers a variety of configurable settings to tailor the visualization according to individual trader preferences. Below are the key settings available for customization:
Custom Settings
Rounding Step : The Rounding Step parameter sets the minimum interval between gridlines. This value determines how closely spaced the rounded levels are on the chart. For example, if the Rounding Step is set to 100, gridlines will be displayed at every 100 points (e.g., $100, $200, $300) relative to the current price level. The Rounding Step is scaled to the chart's visible area, meaning users should adjust it appropriately for different assets to ensure effective visualization. Lower values provide a more granular view, while larger values give a broader, higher-level perspective.
Major Grids : Defines the interval at which major gridlines will appear compared to minor ones. For example, if the Rounding Step is 100 and Major Grids is set to 10, major gridlines will be displayed every $1,000, while minor gridlines will be at every $100. This distinction allows traders to better visualize key psychological levels by emphasizing significant price intervals.
Direction : Users can select the gridline direction, choosing between options such as 'Up', 'Down', 'Auto', or 'Neutral'. This setting controls how the gridlines extend relative to the current price level, which can help in analyzing directional trends.
Neutral Direction : This option provides balanced gridlines both above and below the current price, allowing traders to visualize support and resistance levels symmetrically. This is useful for analyzing sideways or ranging markets without directional bias.
Up Direction : The gridlines are tilted upwards, starting from visible lows and extending toward the rounded level at the current price. By choosing Up , traders emphasize an upward sentiment, visualizing price action that aligns with rising trends. This option helps illustrate potential areas where pullbacks may occur, as well as how price might expand upwards in the current market context.
Down Direction : The gridlines are tilted downwards, starting from visible highs and extending toward the rounded level at the current price. Selecting Down allows traders to emphasize a downward sentiment, visualizing how price may expand downwards, which is particularly useful when analyzing downtrends or potential correction levels. The gridlines provide an illustrative view of how price interacts with lower levels during market declines.
Auto Direction : The gridlines automatically adjust their direction based on recent market trends. This adaptive option allows traders to visualize gridlines that dynamically change according to price action, making it suitable for evolving market conditions where the direction is uncertain. It’s useful for traders looking for an indicator that moves in sync with market shifts and doesn’t require manual adjustment.
Grid Type : Allows users to choose between 'Linear' or 'Fan' grid types. The Linear type creates evenly spaced gridlines that can be either horizontal or tilted, depending on the chosen direction setting, providing a straightforward view of price levels. The Fan type radiates lines from a central point, offering a more dynamic perspective for analyzing price expansions relative to the current price. These grid types introduce experimental visualizations influenced by chart properties, including visible highs, lows, and the current price. Regardless of the configuration, the gridlines will always end at the current bar, which represents a rounded price level, ensuring consistency in how key price areas are displayed.
Extend : This setting allows gridlines to be projected into the future, helping traders see potential levels beyond the current bar. When enabled, the behavior of the extended lines varies based on the selected grid type and direction. For Neutral and Horizontal Linear settings, the extended gridlines maintain their round-number alignment indefinitely. However, for Up , Down , or Auto directions, the angle of the extended gridlines can change dynamically based on the chart’s visible high and low or the latest price action. As a result, extended lines may not continue to align with round-number levels beyond the current bar, reflecting instead the current trend and sentiment of the market. Regardless of direction, extended gridlines remain consistently spaced and either parallel or evenly distributed, ensuring a structured visual representation.
Color Settings : Users can customize the colors for resistance, support, and minor gridlines at the current price. This helps in visually distinguishing between different grid types and their significance on the chart.
Color Options
These configuration options make the Rounded Grid Levels indicator a versatile tool for traders looking to customize their charts based on their personal trading strategies and analytical preferences.
🖼️ CHART EXAMPLES 🖼️
The following chart examples illustrate different configurations available in the Rounded Grid Levels indicator. These examples show how variations in grid type, direction, and rounding step settings impact the visualization of price levels. Traders may find that smaller rounding steps are more effective on lower time frames, where precision is key, whereas larger rounding steps help to reduce clutter and highlight key levels on higher time frames. Each image includes a caption to explain the specific configuration used, helping users better understand how to apply these settings in different market conditions.
Smaller Rounding Step (100) : With a smaller rounding step, the gridlines are spaced closely together. This setting is particularly useful for lower time frames where price action is more granular and finer details are needed. It allows traders to track price interactions at narrower levels, but on higher time frames, it may lead to clutter and exceed Pine Script's 500-line limit.
Larger Rounding Step (1000) : With a larger rounding step, the gridlines are spaced farther apart. This visualization is better suited for higher time frames or broader market overviews, allowing users to focus on major psychological levels without overloading the chart. On lower time frames, this may result in fewer actionable levels, but it helps in maintaining clarity and staying within Pine Script's line limit.
Linear Grid Type, Neutral Direction (Traditional Rounded Price Levels) : The Linear gridlines are displayed in a neutral fashion, representing traditional round-number levels with consistent spacing above and below the current price. This layout helps visualize key psychological price levels over time in a straightforward manner.
Linear Grid Type, Down Direction : The Linear gridlines are tilted downwards, remaining parallel and ending at the rounded level at the current price. This setup emphasizes downward market sentiment, allowing traders to visualize price expansion towards lower levels, which is useful when analyzing downtrends or potential correction levels.
Linear Grid Type, Down Direction : The Linear gridlines are tilted downwards, extending from the current price to lower levels. Useful for observing downtrending price movements and visualizing pullback areas during uptrends.
Linear Grid Type, Auto Direction : The Linear gridlines adjust dynamically, tilting either upwards or downwards to align with recent price trends, remaining parallel and ending at the rounded level at the current price. This configuration reflects the current market sentiment and offers traders a flexible way to observe price dynamics as they develop in real time.
Fan Grid Type, Neutral Direction : The fan-shaped gridlines radiate symmetrically from a central point, ending at the rounded level at the current price. This configuration provides an unbiased view of price action, giving traders a balanced visualization of rounded levels without directional influence.
Fan Grid Type, Up Direction : The fan-shaped gridlines originate from lower visible price points and radiate upwards, ending at the rounded level at the current price. This layout helps visualize potential price expansion to higher levels, offering insights into upward momentum while maintaining a dynamic and evolving perspective on market conditions.
Fan Grid Type, Down Direction : The fan-shaped gridlines originate from higher visible price points and radiate downwards, ending at the rounded level at the current price. This setup is particularly useful for observing potential price expansion towards lower levels, illustrating areas where the price might extend during a downtrend.
Fan Grid Type, Auto Direction : The fan-shaped gridlines dynamically adjust, originating from visible chart points based on the current market trend, and radiate outward, ending at the rounded level at the current price. This adaptive visualization offers a continuously evolving representation that aligns with changing market sentiment, helping traders assess price expansion dynamically.
📊 SUMMARY 📊
The Rounded Grid Levels indicator helps traders highlight important round-number price levels on their charts, providing a dynamic way to visualize these psychological areas. With customizable gridline options—including traditional, tilted, and fan-shaped styles—users can adapt the indicator to suit their analysis needs. The gridlines adjust with chart zoom or scale, offering a flexible tool for observing price action, without providing specific trading signals or predictions.
⚙️ COMPATIBILITY AND LIMITATIONS ⚙️
Asset Compatibility :
The Rounded Grid Levels indicator is compatible with all asset classes, including cryptocurrencies, forex, stocks, and commodities. Users should adjust both the Rounding Step and the Major Grid settings to ensure the correct scale is used for the specific asset. This adjustment ensures that the most relevant round price levels are displayed effectively regardless of the instrument being analyzed. For instance, when analyzing BTCUSD, a higher Rounding Step may be needed compared to forex pairs like EURUSD, and the Major Grid value should also be adjusted to appropriately emphasize significant levels.
Line Limitations in Pine Script :
The Rounded Grid Levels indicator is subject to Pine Script's 500-line limit. This means that it cannot draw more than 500 gridlines on the chart at any given time. The number of gridlines depends directly on the chosen Rounding Step . If the steps are too small, the gridlines will be spaced too closely, causing the indicator to quickly reach the line limit. For example, if Ethereum is trading around $2,500, a Rounding Step of 100 might be appropriate, but a step of 1.00 would create too many gridlines, exceeding Pine Script's limit. Users should consider appropriate settings to avoid running into this constraint.
Runtime Error Considerations
When using the Rounded Grid Levels indicator, users might encounter a runtime error in specific scenarios. This typically happens if the Rounding Step is set too small, causing the indicator to exceed Pine Script's line limit or take too long to process. This can often occur when switching between charts that have significantly different price ranges. Since the Rounding Step requires flexibility to work with a wide variety of assets—ranging from decimals to thousands—it is not practically limited within the script itself. If a runtime error occurs, the recommended solution is to increase the Rounding Step to a larger value that better matches the current asset's price range.
Runtime Error: If the Rounding Step is too small for the current asset or chart, the indicator may generate a runtime error. Users should increase the Rounding Step to ensure proper visualization.
⚠️ DISCLAIMER ⚠️
The Rounded Grid Levels indicator is not designed as a predictive tool. While it extends gridlines into the future, this extension is purely for visual continuity and does not imply any forecast of future price movements. The primary function of this indicator is to help users visualize significant round number price levels.
The gridlines adjust dynamically based on the visible chart range, ensuring that the most relevant round price levels are displayed. This behavior allows the indicator to adapt to your current view of the market, but it should not be used to predict price movements. The indicator is intended as a visual aid and should be used alongside other tools in a comprehensive market analysis approach.
While gridlines may align with significant price levels in hindsight, they should not be interpreted as indicators of future price movements. Traders are encouraged to adjust settings based on their strategy and market conditions.
🧠 BEYOND THE CODE 🧠
The Rounded Grid Levels indicator, like other xxattaxx indicators , is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new grid calculation indicators, drawings, and strategies. We hope this indicator serves as a framework and a starting point for future innovations in grid trading.
Your comments, suggestions, and discussions are invaluable in shaping the future of this project. We actively encourage your feedback and contributions, which will directly help us refine and improve the Rounded Grid Levels indicator. We look forward to seeing the creative ways in which you use and enhance this tool.
VMS Momentum Trend Matrix Indicator [09.00 to 23.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation
🎯 Overview & Core Philosophy
This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:00 AM to 23:30 PM trading sessions (Indian Market) with dynamic support/resistance levels.
Five Pillars of Analysis:
1. Trend Matrix – Multiple indicator voting system
2. Momentum Suite – Multiple Hybrid oscillator
3. Volume Analysis - Buy/sell pressure quantification
4. Key Level Identification - Dynamic support/resistance
5. EMA Trend: Indicates the overall long-term direction.
📊 DASHBOARD INTERPRETATION - ROW BY ROW
ROW 1: Indicator Name and Cell background colour changes with Trend Matrix
ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this)
Purpose: Long-term trend identification using Exponential Moving Averages
What to Watch:
• Major Trend: Overall market direction (Bullish/Bearish/Neutral)
• Bullish Condition: All EMAs aligned upward
• Bearish Condition: All EMAs aligned downward
• Neutral: Mixed alignment
Trading Significance:
• Trading Condition: Current bias based on EMA alignment
• Bullish Market: Focus on LONG positions only
• Bearish Market: Focus on SHORT positions only
• Neutral Market: Wait for clearer direction
ROW 3-4: KEY LEVELS
Purpose: Dynamic support and resistance identification
Levels to Monitor:
• VMS Line-1 (Support): Dynamic Support for long positions
• VMS Line-2 (Resistance): Dynamic Resistance for short positions
• Up/Down: Daily base levels from opening price calculations
• Up: Daily support level based on opening price
• Down: Daily resistance level based on opening price
How Levels Work:
• Wait for Line-1 and 2 Crossing
• In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line
• In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line
• Provide clear entry/exit points
• If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition.
• If the price is above the up level, it can be considered as bullish and below as bearish
ROW 5-6: VOLUME ANALYSIS
Purpose: Measure buying vs selling pressure
Key Metrics:
• Total Buy Volume: Cumulative buying pressure
• Total Sell Volume: Cumulative selling pressure
• Bullish Candles: Number of up-candles in session
• Bearish Candles: Number of down-candles in session
Interpretation:
• Buy Volume > Sell Volume: Bullish sentiment
• Sell Volume > Buy Volume: Bearish sentiment
• Bullish Candles Dominating: Upward momentum
• Bearish Candles Dominating: Downward momentum
ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this)
Purpose: Short-term momentum strength and direction
Critical Components:
• Direction: Current momentum (BULLISH/BEARISH)
• Strength: 0-100% strength measurement
• Bullish Height: Positive momentum magnitude
• Bearish Height: Negative momentum magnitude
Strength Classification:
• 80-100%: Very Strong - High conviction trades
• 60-80%: Strong - Good trading opportunities
• 40-60%: Moderate - Caution advised
• 20-40%: Weak - Avoid trading
• 0-20%: Very Weak - No trade zone
ROW 9-11: TREND MATRIX
Purpose: Consensus from Multiple technical indicators
Matrix Scoring:
• Bullish Signals: Number voting UP
• Bearish Signals: Number voting DOWN
• Neutral Signals: Non-committed indicators
• Net Score: Bullish - Bearish signals
Trend Classification:
• Strong Uptrend: Net Score ≥ +5
• Uptrend: Net Score +1 to +4
• Neutral: Net Score = 0
• Downtrend: Net Score -1 to -4
• Strong Downtrend: Net Score ≤ -5
ROW 12: COMBINED ANALYSIS
Purpose: Final integrated signal from all systems
Bias Levels:
• STRONG BULLISH: All systems aligned upward
• BULLISH: Majority systems upward
• NEUTRAL: Mixed or weak signals
• BEARISH: Majority systems downward
• STRONG BEARISH: All systems aligned downward
Confidence Score: 0-100% reliability measurement
ROW 13: TRADING VIEW
Purpose: Clear action recommendations
Possible Actions:
• STRONG LONG: High conviction buy signal
• MODERATE LONG: Medium conviction buy signal
• WAIT FOR CONFIRMATION: No clear signal
• MODERATE SHORT: Medium conviction sell signal
• STRONG SHORT: High conviction sell signal
🎯 COMPLETE TRADING RULES
BUY ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BULLISH or STRONG BULLISH
2. Trading Action: MODERATE LONG or STRONG LONG
3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG)
4. Trend Matrix: Net Score ≥ +3
5. EMA Trend: Bullish or Neutral
Confirmation Conditions:
6. Price Position: Above VMS Line-1 AND Base Up
7. Volume Confirmation: Buy Volume > Sell Volume
8. Bullish Candles: More bullish than bearish candles
Risk Management:
9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower)
10. Position Size: Based on confidence score (higher score = larger position)
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
SELL/SHORT ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BEARISH or STRONG BEARISH
2. Trading Action: MODERATE SHORT or STRONG SHORT
3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT)
4. Bearish Signals: ≥ 12 in Trend Matrix
5. Trend Matrix: Net Score ≤ -3
6. EMA Trend: Bearish or Neutral
Confirmation Conditions:
6. Price Position: Below VMS Line-2 AND Base Down
7. Volume Confirmation: Sell Volume > Buy Volume
8. Bearish Candles: More bearish than bullish candles
Risk Management:
9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher)
10. Position Size: Based on confidence score
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
⏰ ENTRY/EXIT TIMING
Best Entry Times:
• 9:30-11:00 AM: Early session momentum established
• 12:30-16:30 AM: Mid-session confirmation
• 21:30-23:00 PM: closing session momentum shifts
Avoid Trading:
• First 15 minutes: Excessive volatility
• 12:00-18:00 PM: Low liquidity period
• After 22:00 PM: Session closing volatility
Exit Triggers:
Profit Taking:
• Target 1: 1:1 Risk-Reward (exit 50% position)
• Target 2: 1.5:1 Risk-Reward (exit remaining 50%)
• Trailing Stop: Move stop to breakeven after Target 1
Stop Loss Triggers:
• Price crosses opposite VMS line
• Combined Bias changes to NEUTRAL
• Momentum Strength drops below 20%
• Volume confirmation reverses
•
Emergency Exit:
• Trend Matrix Net Score reverses direction
• 6-EMA trend changes direction
• Key support/resistance breaks against position
📈 TRADING SCENARIOS
Scenario 1: STRONG BULLISH SETUP
- Combined Bias: STRONG BULLISH
- Trading Action: STRONG LONG
- Momentum Strength: 75%
- Trend Matrix: Net Score +8
- Price: Above VMS Line-1 and Base Up
- Volume: Strong buy volume dominance
ACTION: Enter LONG with full position size
STOP LOSS: Below VMS Line-1
TARGET: 1.5:1 Risk-Reward ratio
Scenario 2: MODERATE BEARISH SETUP
- Combined Bias: BEARISH
- Trading Action: MODERATE SHORT
- Momentum Strength: 55%
- Trend Matrix: Net Score -4
- Price: Below VMS Line-2 but above Base Down
- Volume: Moderate sell volume dominance
ACTION: Enter SHORT with half position size
STOP LOSS: Above VMS Line-2
TARGET: 1:1 Risk-Reward ratio
Scenario 3: NEUTRAL/WAIT SETUP
- Combined Bias: NEUTRAL
- Trading Action: WAIT FOR CONFIRMATION
- Momentum Strength: 35%
- Trend Matrix: Net Score 0
- Mixed volume signals
ACTION: NO TRADE - Wait for clearer signals
________________________________________
⚠️ RISK MANAGEMENT RULES
Position Sizing:
• STRONG Signals (80-100% confidence): 100% normal position
• MODERATE Signals (60-79% confidence): 50-75% position
• WEAK Signals (40-59% confidence): 25% position or avoid
• VERY WEAK (<40% confidence): NO TRADE
Daily Loss Limits:
• Maximum 2% capital loss per day
• Maximum 3 consecutive losing trades
• Stop trading after the daily limit is reached
Trade Management:
• Never move the stop loss against a position
• Take partial profits at predetermined levels
• Never average down losing positions
• Respect all exit signals immediately
________________________________________
🔄 SIGNAL CONFIRMATION PROCESS
Step 1: Trend Direction
Check EMA alignment and Combined Bias
Step 2: Momentum Strength
Verify Momentum Strength ≥ 40% and direction matches trend
Step 3: Volume Confirmation
Confirm volume supports the direction
Step 4: Matrix Consensus
Ensure Trend Matrix agrees (Net Score ≥ |3|)
Step 5: Price Position
Verify price is on the correct side of key levels
Step 6: Entry Execution
Enter on a pullback to support/resistance with a stop loss
________________________________________
This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
VMS Momentum Trend Matrix Indicator [09.15 to 15.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation
🎯 Overview & Core Philosophy
This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:15 AM to 3:30 PM trading sessions (Indian Market) with dynamic support/resistance levels.
Five Pillars of Analysis:
1. Trend Matrix – Multiple indicator voting system
2. Momentum Suite – Multiple Hybrid oscillator
3. Volume Analysis - Buy/sell pressure quantification
4. Key Level Identification - Dynamic support/resistance
5. EMA Trend: Indicates the overall long-term direction.
📊 DASHBOARD INTERPRETATION - ROW BY ROW
ROW 1: Indicator Name and Cell background colour changes with Trend Matrix
ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this)
Purpose: Long-term trend identification using Exponential Moving Averages
What to Watch:
• Major Trend: Overall market direction (Bullish/Bearish/Neutral)
• Bullish Condition: All EMAs aligned upward
• Bearish Condition: All EMAs aligned downward
• Neutral: Mixed alignment
Trading Significance:
• Trading Condition: Current bias based on EMA alignment
• Bullish Market: Focus on LONG positions only
• Bearish Market: Focus on SHORT positions only
• Neutral Market: Wait for clearer direction
ROW 3-4: KEY LEVELS
Purpose: Dynamic support and resistance identification
Levels to Monitor:
• VMS Line-1 (Support): Dynamic Support for long positions
• VMS Line-2 (Resistance): Dynamic Resistance for short positions
• Up/Down: Daily base levels from opening price calculations
• Up: Daily support level based on opening price
• Down: Daily resistance level based on opening price
How Levels Work:
• Wait for Line-1 and 2 Crossing
• In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line
• In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line
• Provide clear entry/exit points
• If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition.
• If the price is above the up level, it can be considered as bullish and below as bearish
ROW 5-6: VOLUME ANALYSIS
Purpose: Measure buying vs selling pressure
Key Metrics:
• Total Buy Volume: Cumulative buying pressure
• Total Sell Volume: Cumulative selling pressure
• Bullish Candles: Number of up-candles in session
• Bearish Candles: Number of down-candles in session
Interpretation:
• Buy Volume > Sell Volume: Bullish sentiment
• Sell Volume > Buy Volume: Bearish sentiment
• Bullish Candles Dominating: Upward momentum
• Bearish Candles Dominating: Downward momentum
ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this)
Purpose: Short-term momentum strength and direction
Critical Components:
• Direction: Current momentum (BULLISH/BEARISH)
• Strength: 0-100% strength measurement
• Bullish Height: Positive momentum magnitude
• Bearish Height: Negative momentum magnitude
Strength Classification:
• 80-100%: Very Strong - High conviction trades
• 60-80%: Strong - Good trading opportunities
• 40-60%: Moderate - Caution advised
• 20-40%: Weak - Avoid trading
• 0-20%: Very Weak - No trade zone
ROW 9-11: TREND MATRIX
Purpose: Consensus from Multiple technical indicators
Matrix Scoring:
• Bullish Signals: Number voting UP
• Bearish Signals: Number voting DOWN
• Neutral Signals: Non-committed indicators
• Net Score: Bullish - Bearish signals
Trend Classification:
• Strong Uptrend: Net Score ≥ +5
• Uptrend: Net Score +1 to +4
• Neutral: Net Score = 0
• Downtrend: Net Score -1 to -4
• Strong Downtrend: Net Score ≤ -5
ROW 12: COMBINED ANALYSIS
Purpose: Final integrated signal from all systems
Bias Levels:
• STRONG BULLISH: All systems aligned upward
• BULLISH: Majority systems upward
• NEUTRAL: Mixed or weak signals
• BEARISH: Majority systems downward
• STRONG BEARISH: All systems aligned downward
Confidence Score: 0-100% reliability measurement
ROW 13: TRADING VIEW
Purpose: Clear action recommendations
Possible Actions:
• STRONG LONG: High conviction buy signal
• MODERATE LONG: Medium conviction buy signal
• WAIT FOR CONFIRMATION: No clear signal
• MODERATE SHORT: Medium conviction sell signal
• STRONG SHORT: High conviction sell signal
🎯 COMPLETE TRADING RULES
BUY ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BULLISH or STRONG BULLISH
2. Trading Action: MODERATE LONG or STRONG LONG
3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG)
4. Trend Matrix: Net Score ≥ +3
5. 6-EMA Trend: Bullish or Neutral
Confirmation Conditions:
6. Price Position: Above VMS Line-1 AND Base Up
7. Volume Confirmation: Buy Volume > Sell Volume
8. Bullish Candles: More bullish than bearish candles
Risk Management:
9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower)
10. Position Size: Based on confidence score (higher score = larger position)
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
SELL/SHORT ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BEARISH or STRONG BEARISH
2. Trading Action: MODERATE SHORT or STRONG SHORT
3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT)
4. Bearish Signals: ≥ 12 in Trend Matrix
5. Trend Matrix: Net Score ≤ -3
6. EMA Trend: Bearish or Neutral
Confirmation Conditions:
6. Price Position: Below VMS Line-2 AND Base Down
7. Volume Confirmation: Sell Volume > Buy Volume
8. Bearish Candles: More bearish than bullish candles
Risk Management:
9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher)
10. Position Size: Based on confidence score
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
⏰ ENTRY/EXIT TIMING
Best Entry Times:
• 9:30-10:00 AM: Early session momentum established
• 11:00-11:30 AM: Mid-session confirmation
• 1:30-2:00 PM: Afternoon momentum shifts
Avoid Trading:
• First 15 minutes: Excessive volatility
• 12:00-1:00 PM: Low liquidity period
• After 3:00 PM: Session closing volatility
Exit Triggers:
Profit Taking:
• Target 1: 1:1 Risk-Reward (exit 50% position)
• Target 2: 1.5:1 Risk-Reward (exit remaining 50%)
• Trailing Stop: Move stop to breakeven after Target 1
Stop Loss Triggers:
• Price crosses opposite VMS line
• Combined Bias changes to NEUTRAL
• Momentum Strength drops below 20%
• Volume confirmation reverses
•
Emergency Exit:
• Trend Matrix Net Score reverses direction
• 6-EMA trend changes direction
• Key support/resistance breaks against position
📈 TRADING SCENARIOS
Scenario 1: STRONG BULLISH SETUP
- Combined Bias: STRONG BULLISH
- Trading Action: STRONG LONG
- Momentum Strength: 75%
- Trend Matrix: Net Score +8
- Price: Above VMS Line-1 and Base Up
- Volume: Strong buy volume dominance
ACTION: Enter LONG with full position size
STOP LOSS: Below VMS Line-1
TARGET: 1.5:1 Risk-Reward ratio
Scenario 2: MODERATE BEARISH SETUP
- Combined Bias: BEARISH
- Trading Action: MODERATE SHORT
- Momentum Strength: 55%
- Trend Matrix: Net Score -4
- Price: Below VMS Line-2 but above Base Down
- Volume: Moderate sell volume dominance
ACTION: Enter SHORT with half position size
STOP LOSS: Above VMS Line-2
TARGET: 1:1 Risk-Reward ratio
Scenario 3: NEUTRAL/WAIT SETUP
- Combined Bias: NEUTRAL
- Trading Action: WAIT FOR CONFIRMATION
- Momentum Strength: 35%
- Trend Matrix: Net Score 0
- Mixed volume signals
ACTION: NO TRADE - Wait for clearer signals
________________________________________
⚠️ RISK MANAGEMENT RULES
Position Sizing:
• STRONG Signals (80-100% confidence): 100% normal position
• MODERATE Signals (60-79% confidence): 50-75% position
• WEAK Signals (40-59% confidence): 25% position or avoid
• VERY WEAK (<40% confidence): NO TRADE
Daily Loss Limits:
• Maximum 2% capital loss per day
• Maximum 3 consecutive losing trades
• Stop trading after the daily limit is reached
Trade Management:
• Never move the stop loss against a position
• Take partial profits at predetermined levels
• Never average down losing positions
• Respect all exit signals immediately
________________________________________
🔄 SIGNAL CONFIRMATION PROCESS
Step 1: Trend Direction
Check EMA alignment and Combined Bias
Step 2: Momentum Strength
Verify Momentum Strength ≥ 40% and direction matches trend
Step 3: Volume Confirmation
Confirm volume supports the direction
Step 4: Matrix Consensus
Ensure Trend Matrix agrees (Net Score ≥ |3|)
Step 5: Price Position
Verify price is on the correct side of key levels
Step 6: Entry Execution
Enter on a pullback to support/resistance with a stop loss
________________________________________
This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
Fractal Trend Detector [Skyrexio]Introduction
Fractal Trend Detector leverages the combination of Williams fractals and Alligator Indicator to help traders to understand with the high probability what is the current trend: bullish or bearish. It visualizes the potential uptrend with the coloring bars in green, downtrend - in red color. Indicator also contains two additional visualizations, the strong uptrend and downtrend as the green and red zones and the white line - trend invalidation level (more information in "Methodology and it's justification" paragraph)
Features
Optional strong up and downtrends visualization: with the specified parameter in settings user can add/hide the green and red zones of the strong up and downtrends.
Optional trend invalidation level visualization: with the specified parameter in settings user can add/hide the white line which shows the current trend invalidation price.
Alerts: user can set up the alert and have notifications when uptrend/downtrend has been started, strong uptrend/downtrend started.
Methodology and it's justification
In this script we apply the concept of trend given by Bill Williams in his book "Trading Chaos". This approach leverages the Alligator and Fractals in conjunction. Let's briefly explain these two components.
The Williams Alligator, created by Bill Williams, is a technical analysis tool used to identify trends and potential market reversals. It consists of three moving averages, called the jaw, teeth, and lips, which represent different time periods:
Jaw (Blue Line): The slowest line, showing a 13-period smoothed moving average shifted 8 bars forward.
Teeth (Red Line): The medium-speed line, an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, a 5-period smoothed moving average shifted 3 bars forward.
When the lines are spread apart and aligned, the "alligator" is "awake," indicating a strong trend. When the lines intertwine, the "alligator" is "sleeping," signaling a non-trending or range-bound market. This indicator helps traders identify when to enter or avoid trades.
Williams Fractals, introduced by Bill Williams, are a technical analysis tool used to identify potential reversal points on a price chart. A fractal is a series of at least five consecutive bars where the middle bar has the highest high (for a up fractal) or the lowest low (for a down fractal), compared to the two bars on either side.
Key Points:
Up fractal: Formed when the middle bar shows a higher high than the two preceding and two following bars, signaling a potential turning point downward.
Down fractal: Formed when the middle bar has a lower low than the two surrounding bars, indicating a potential upward reversal.
Fractals are often used with other indicators to confirm trend direction or reversal, helping traders make more informed trading decisions.
How we can use its combination? Let's explain the uptrend example. The up fractal breakout to the upside can be interpret as bullish sign, there is a high probability that uptrend has just been started. It can be explained as following: the up fractal created is the potential change in market's behavior. A lot of traders made a decision to sell and it created the pullback with the fractal at the top. But if price is able to reach the fractal's top and break it, this is a high probability sign that market "changed his opinion" and bullish trend has been started. The moment of breaking is the potential changing to the uptrend. Here is another one important point, this breakout shall happen above the Alligator's teeth line. If not, this crossover doesn't count and the downtrend potentially remaining. The inverted logic is true for the down fractals and downtrend.
According to this methodology we received the high probability up and downtrend changes, but we can even add it. If current trend established by the indicator as the uptrend and alligator's lines have the following order: lips is higher than teeth, teeth is higher than jaw, script count it as a strong uptrend and start print the green zone - zone between lips and jaw. It can be used as a high probability support of the current bull market. The inverted logic can be used for bearish trend and red zones: if lips is lower than teeth and teeth is lower than jaw it's interpreted by the indicator as a strong down trend.
Indicator also has the trend invalidation line (white line). If current bar is green and market condition is interpreted by the script as an uptrend you will see the invalidation line below current price. This is the price level which shall be crossed by the price to change up trend to down trend according to algorithm. This level is recalculated on every candle. The inverted logic is valid for downtrend.
How to use indicator
Apply it to desired chart and time frame. It works on every time frame.
Setup the settings with enabling/disabling visualization of strong up/downtrend zones and trend invalidation line. "Show Strong Bullish/Bearish Trends" and "Show Trend Invalidation Price" checkboxes in the settings. By default they are turned on.
Analyze the price action. Indicator colored candle in green if it's more likely that current state is uptrend, in red if downtrend has the high probability to be now. Green zones between two lines showing if current uptrend is likely to be strong. This zone can be used as a high probability support on the uptrend. The red zone show high probability of strong downtrend and can be used as a resistance. White line is showing the level where uptrend or downtrend is going be invalidated according to indicator's algorithm. If current bar is green invalidation line will be below the current price, if red - above the current price.
Set up the alerts if it's needed. Indicator has four custom alerts called "Uptrend has been started" when current bar closed as green and the previous was not green, "Downtrend has been started" when current bar closed red and the previous was not red, "Uptrend became strong" if script started printing the green zone "Downtrend became strong" if script started printing the red zone.
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test indicators before live implementation.
Comprehensive Market AnalyzerVERSION 2.0:
Notice to users: To better reflect its extensive features, this indicator has been renamed from "Tsūrubokkusu (Toolbox) 🧰" to "Comprehensive Market Analyzer". Thank you for your understanding and adaptation to this change.
Purpose and Usage:
The Comprehensive Market Analyzer is designed to provide traders with a holistic view of market conditions by integrating various technical indicators into a single,
cohesive tool. Each indicator has been carefully selected and improved to work together, offering enhanced customization and advanced market insights.
This combination allows for more comprehensive market analysis, improved decision-making, and efficient trading strategies.
📘 Machine Learning Integration
Purpose : Utilizes machine learning algorithms to analyze past market data and provides predictive insights based on historical data.
Usage : Activate machine learning features, set lookback windows, influence weighting, and start bar for improved trend predictions.
Activate Machine Learning :
Description : Enables advanced machine learning features that analyze past market data.
Details : This feature allows the algorithm to use historical data to forecast market movements, providing traders with enhanced predictive insights on historical data.
Kernel Lookback Window :
Description : Sets the number of previous bars that the algorithm will analyze.
Details : A higher number provides a broader view of market trends, while a lower number makes the model more sensitive to recent changes.
Kernel Influence Weighting :
Description : Adjusts the emphasis on recent versus older data.
Details : Increasing this value gives more importance to recent data, potentially making predictions more responsive to new trends.
Kernel Calculation Start Bar :
Description : Specifies the bar number from which to start the machine learning calculations.
Details : Avoids early data which may contain excessive noise and less reliable market signals.
Kernel Functions :
Gaussian Kernel :
Description : Uses a Gaussian distribution to weight historical data, focusing on more recent data points for trend analysis.
Details : Calculates weights based on the Gaussian distribution, emphasizing data points closer to the present.
Laplacian Kernel :
Description : Applies Laplacian distribution, emphasizing data points closer to the current time more heavily.
Details : Uses the Laplacian function to provide a different perspective on data weighting.
RBF Kernel :
Description : Utilizes a Radial Basis Function for smoothing and analyzing data, providing a different approach to trend prediction.
Details : Applies the RBF function to smooth data and enhance the accuracy of trend predictions.
Wavelet Kernel :
Description : Applies wavelet transform for analyzing frequency components, helping to detect patterns in the price movements.
Details : Uses wavelet-based calculations to focus on specific frequency components within the data, aiding in pattern recognition.
📘 Enhanced Ichimoku Kinkō Hyō Integration
Purpose : Provides a comprehensive overview of market trends and momentum using the Ichimoku Kinkō Hyō indicator.
Usage : Display various components of the Ichimoku Kinkō Hyō, customize their appearance, provides additional calculations for trend analysis.
Display Ichimoku Kinkō Hyō :
Description : Toggle to show or hide the Ichimoku Kinkō hyō indicator.
Details : This indicator helps traders see support and resistance levels, trend direction, and potential future movements.
Activate Heikin-Ashi Source :
Description : Switches between regular price data and Heikin-Ashi candles for analysis.
Details : Heikin-Ashi candles smooth price data, making trends easier to spot.
Display Tenkan-Sen Line :
Description : Shows the Tenkan-Sen line, a key short-term trend indicator.
Color Customization : Set the color of the Tenkan-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Tenkan-Sen line.
Maximum Length : Determine the longest period for calculating the Tenkan-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Tenkan-Sen based on market conditions.
Display Kijun-Sen Line :
Description : Shows the Kijun-Sen line, a key medium-term trend indicator.
Color Customization : Set the color of the Kijun-Sen line for better visibility.
Minimum Length : Determine the shortest period for calculating the Kijun-Sen line.
Maximum Length : Determine the longest period for calculating the Kijun-Sen line.
Dynamic Length Adjustment : Automatically adjusts the length of the Kijun-Sen based on market conditions.
Kijun-Sen Divider Tool : Adjust the sensitivity of the Kijun-Sen calculation.
Display Chikou Span :
Description : Shows the Chikou Span, which lags behind the current price to help confirm trends.
Bear Phase Color : Set the color for bearish periods.
Bull Phase Color : Set the color for bullish periods.
Consolidation Color : Set the color for consolidation periods.
Minimum Length : Determine the shortest lag period for the Chikou Span.
Maximum Length : Determine the longest lag period for the Chikou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Chikou Span based on market conditions.
Display Senkou Span A and B :
Description : Shows the Senkou Span A and B, which form the Ichimoku Cloud indicating future support and resistance levels.
Bear Color : Set the color for bearish clouds.
Bull Color : Set the color for bullish clouds.
Neutral Color : Set the color for neutral periods.
Minimum Length : Determine the shortest period for calculating the Senkou Span.
Maximum Length : Determine the longest period for calculating the Senkou Span.
Dynamic Length Adjustment : Automatically adjusts the length of the Senkou Span based on market conditions.
Projection Offset : Set how far ahead the Senkou Span is projected.
Kumo Cloud Settings :
Enable Kumo Cloud Fill : Toggle to fill the space between Senkou Span A and B with color.
Cloud Fill Transparency : Adjust the transparency of the cloud fill.
Apply WMA Smoothing :
Description : Smooths the indicator lines using a Weighted Moving Average to clarify trends.
Bar Coloring Based on Ichimoku Signals :
Description : Colors the bars based on Ichimoku signals to provide a quick visual indication of market sentiment.
Bearish Signal Bar Color : Set the color for bars during bearish signals.
Bullish Signal Bar Color : Set the color for bars during bullish signals.
Consolidation Signal Bar Color : Set the color for bars during consolidation periods.
Neutral Bar Color : Set the color for bars during neutral conditions.
Enhanced Calculations :
Heikin Ashi Values : Smooths price movements to make trends more visible.
Alternative Source Calculation : Uses a different method for calculating the indicator based on user settings.
Volume Calculations : Enhanced functions for calculating volume based on different candlestick patterns.
Dynamic Length Adjustment : Automatically adjusts the length of Ichimoku components based on market volatility.
Gaussian Kernel Calculations : Uses advanced calculations for smoother and more accurate trend analysis.
Chikou Span Adaptation : Improved calculation for the Chikou Span using dynamic lengths and advanced methods.
Visual Enhancements : Adds color gradients to the Senkou Span and dynamic coloring for the Chikou Span to improve trend visibility.
Plotting Ichimoku Components :
Tenkan-Sen : Plots the Tenkan-Sen line with dynamic adjustments.
Kijun-Sen : Plots the Kijun-Sen line with dynamic adjustments.
Senkou Span A and B : Plots these lines with dynamic projections and advanced smoothing.
Chikou Span : Plots the Chikou Span with dynamic offsets and coloring.
📘 Enhanced Candlestick Patterns Integration
Purpose : Identifies and displays various candlestick patterns to help traders spot key market movements and potential reversals.
Usage : Toggle the display of patterns, select specific pattern types, and customize pattern labels for improved visual analysis.
Display Patterns :
Description : Toggle to enable or disable the display of all candlestick patterns.
Details : When enabled, all selected candlestick patterns will be displayed on the chart, aiding traders in identifying key market movements and potential reversals.
Select Pattern Type :
Description : Select the type of candlestick patterns to detect.
Details : Options include Bullish (indicating potential upward trends), Bearish (indicating potential downward trends), or Both.
Trend Filter Method :
Description : Select the method to filter trends.
Details : Options include True Range (based on price range), Fractals, Volume, Combined, or None (no filtering).
Pattern Label Colors :
Bullish Pattern Color : Choose the color for labeling Bullish patterns, indicating potential upward trends.
Bearish Pattern Color : Choose the color for labeling Bearish patterns, indicating potential downward trends.
Indecision Pattern Color : Choose the color for labeling Indecision patterns, indicating no clear trend direction.
Base Line and Patterns Display Options :
Show Base Line in Place of Labels : Toggle to display a base line instead of labels for detected patterns. This helps visualize the general trend.
Show Counterattack Lines : Toggle to display Counterattack Lines patterns, indicating potential reversal points.
Show Dark Cloud Cover : Toggle to display Dark Cloud Cover patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Engulfing Patterns : Toggle to display Engulfing patterns. Bullish Engulfing patterns suggest a potential upward reversal, while Bearish Engulfing patterns suggest a potential downward reversal.
Show Hammer Patterns : Toggle to display Hammer patterns, a bullish pattern indicating a potential reversal from a downtrend to an uptrend.
Show Hanging Man Patterns : Toggle to display Hanging Man patterns, a bearish pattern indicating a potential reversal from an uptrend to a downtrend.
Show Harami Patterns : Toggle to display Harami patterns. Bullish Harami patterns suggest a potential upward reversal, while Bearish Harami patterns suggest a potential downward reversal.
Show In-Neck Patterns : Toggle to display In-Neck patterns, indicating a potential continuation of the current trend.
Show On-Neck Patterns : Toggle to display On-Neck patterns, indicating a potential continuation of the current trend.
Show Piercing Patterns : Toggle to display Piercing patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Three Black Crows : Toggle to display Three Black Crows patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Thrusting Patterns : Toggle to display Thrusting patterns, a bearish pattern suggesting a potential continuation of the downtrend.
Show Upside Gap Two Crows : Toggle to display Upside Gap Two Crows patterns, a bearish pattern suggesting a potential downward reversal after an upward gap.
Show Evening Star : Toggle to display Evening Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Inverted Hammer : Toggle to display Inverted Hammer patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Morning Star : Toggle to display Morning Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Shooting Star : Toggle to display Shooting Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Doji Patterns : Toggle to display Doji patterns, indicating market indecision and potential reversals.
Show Dragonfly Doji : Toggle to display Dragonfly Doji patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Evening Doji Star : Toggle to display Evening Doji Star patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Gravestone Doji : Toggle to display Gravestone Doji patterns, a bearish pattern suggesting a potential reversal from an uptrend to a downtrend.
Show Long-Legged Doji : Toggle to display Long-Legged Doji patterns, indicating high market indecision and potential reversals.
Show Morning Doji Star : Toggle to display Morning Doji Star patterns, a bullish pattern suggesting a potential reversal from a downtrend to an uptrend.
Show Rising Three Methods : Toggle to display Rising Three Methods patterns, a bullish pattern suggesting a continuation of the uptrend.
Show Falling Three Methods : Toggle to display Falling Three Methods patterns, a bearish pattern suggesting a continuation of the downtrend.
Show Tasuki Patterns : Toggle to display Tasuki patterns, indicating potential trend continuation after a gap.
Show Marubozo : Toggle to display Marubozo patterns, indicating strong trend continuation, either bullish or bearish.
Show Long Lower Shadow : Toggle to display Long Lower Shadow patterns, indicating strong buying pressure and potential upward movement.
Show Long Upper Shadow : Toggle to display Long Upper Shadow patterns, indicating strong selling pressure and potential downward movement.
Show Three Inside Up/Down : Toggle to display Three Inside Up/Down patterns, indicating potential bullish or bearish reversals.
Show Kicker Pattern : Toggle to display Kicker patterns, indicating significant potential reversals.
Show Tweezer Tops/Bottoms : Toggle to display Tweezer Tops/Bottoms patterns, indicating potential reversals at the tops or bottoms.
Show Mat Hold Pattern : Toggle to display Mat Hold patterns, a bullish pattern suggesting a continuation of the uptrend.
Candle Body/Shadow Comparison Options :
Candle Body/Shadow Comparison : Choose the criteria to compare candle sizes: Shadows (larger shadows), Body (larger body), Both (larger shadows and body), Either (larger shadows or body), or None (no comparison).
Look-back Period for Candle Comparison : Specify the number of periods to look back when comparing the current candle size to determine if it is significant.
Period for Body Length Average : Specify the period for calculating the average body length of candles to help identify significant patterns.
Period for Candle Length Average : Specify the period for calculating the average length of candles to help identify significant patterns.
Specific Pattern Thresholds :
Doji Body Percentage Threshold : Set the percentage threshold for identifying Doji patterns based on the candle body size compared to its range.
Upper Shadow Percentage Limit : Set the maximum allowed upper shadow percentage of the candle’s range for identifying specific Doji patterns.
Lower Shadow Percentage Limit : Set the maximum allowed lower shadow percentage of the candle’s range for identifying specific Doji patterns.
Price Deviation Tolerance : Specify the price deviation tolerance for pattern recognition, which helps in identifying patterns within a certain price range.
Thrusting Neck Percentage : Set the percentage threshold for identifying Thrusting Neck patterns, indicating a potential continuation of the current trend.
Base Line Settings :
Base Line EMA Length : Specify the length of the EMA for the Base Line, helping to visualize the general trend.
Enhanced Calculations :
Wavelet Transform : If machine learning is enabled, calculates the wavelet transform for smoother and more accurate pattern detection.
Candle Body and Shadows Calculation : Detailed calculations for candle body and shadow lengths to improve pattern detection.
Average Calculations : Calculate averages for body and candle sizes to help identify significant patterns.
Fractals Calculation : Identify fractal highs and lows to aid in trend detection.
Trend Filters : Apply user-selected trend filters based on True Range, Fractals, Volume, or a combination.
Pattern Detection and Labeling : Detects and labels various candlestick patterns, including Doji, Engulfing, Hammer, and more, with options for displaying labels or base lines.
Alerts and Notifications : Set alerts for detected patterns and base line colors to notify traders of significant market events.
Plotting Candlestick Patterns :
Pattern Detection : Automatically detects and labels various candlestick patterns based on user settings.
Label Customization : Customize the labels for different patterns, including color and text.
Base Line Plotting : Option to plot a base line instead of labels for detected patterns, enhancing trend visualization.
Alerts for Patterns : Set alerts for detected patterns to keep traders informed of significant market changes.
📘 Enhanced Fibonacci Retracement Integration
Purpose : Provides a tool for identifying potential support and resistance levels using Fibonacci retracement.
Usage : Toggle the display of Fibonacci levels, adjust the lookback period, and customize the appearance of Fibonacci levels for better market analysis.
Auto Mode :
Description : Toggle to enable or disable automatic detection of price points.
Details : When enabled, the highest and lowest price points within a specified period will be automatically detected to set Fibonacci levels. Disable to manually set the top and bottom prices.
Period :
Description : Set the lookback period for detecting price points.
Details : Defines the number of bars to look back when detecting the highest and lowest prices in Auto Mode, used for calculating Fibonacci levels.
Manual Top :
Description : Manually set the top price level.
Details : Adjust this setting to reflect the peak price of interest when Auto Mode is disabled.
Manual Bottom :
Description : Manually set the bottom price level.
Details : Adjust this setting to reflect the low price of interest when Auto Mode is disabled.
Display Fibonacci :
Description : Toggle to show or hide Fibonacci retracement levels.
Details : When enabled, the calculated Fibonacci levels will be displayed on the chart, overlaying the price data.
Baseline Levels :
Description : Select Fibonacci levels to highlight as baselines.
Details : Choose specific levels to be visually distinct, emphasizing their significance in the analysis.
Fibonacci Levels Colors :
Upper Levels Color : Set the color for Fibonacci levels above the baseline, indicating potential resistance levels.
Lower Levels Color : Set the color for Fibonacci levels below the baseline, indicating potential support levels.
Baseline Levels Color : Set the color for highlighted baseline Fibonacci levels, making them stand out from other levels.
Display Individual Fibonacci Levels :
Show Level : Toggle to enable or disable the display of specific Fibonacci levels.
Level Value : Set the multiplier used to calculate each specific Fibonacci level relative to the price range.
Reverse Levels :
Description : Toggle to switch the calculation direction of Fibonacci levels.
Details : When enabled, levels are calculated in reverse, useful for analyzing downtrends.
Line Extension :
Description : Choose how Fibonacci level lines are extended on the chart.
Details : Options include extending lines to the left, right, or both, affecting their visual presentation.
Text Size :
Description : Adjust the font size of the labels for Fibonacci levels.
Details : Options range from large to tiny, allowing for readability adjustments according to user preference.
Line Style :
Description : Select the line style for Fibonacci levels.
Details : Options include solid, dotted, and dashed, providing visual distinction.
Line Width :
Description : Set the thickness of the Fibonacci level lines.
Details : A higher value makes the lines more prominent on the chart.
Baseline Line Style :
Description : Choose the line style specifically for the baseline levels.
Details : This can differ from other Fibonacci levels to emphasize their importance.
Baseline Line Width :
Description : Adjust the thickness of the baseline level lines.
Details : Can be set differently from other levels for visual emphasis.
Enhanced Calculations :
Automatic and Manual Top/Bottom Setup : Detect or manually set the highest and lowest price points.
Price Range Calculation : Determine the range between the highest and lowest prices.
Fibonacci Level Values : Calculate the values for each Fibonacci level.
Visual and Label Configuration : Configure visual aspects and labels for each level.
Plotting and Labeling :
Level Plotting :
Description : Plot each Fibonacci level on the chart.
Details : Draw lines representing each calculated level.
Label Customization :
Description : Customize the labels for Fibonacci levels.
Details : Include text, colors, and positioning for clarity.
📘 Supports and Resistances Integration
Purpose : Identifies key support and resistance levels to aid in market analysis.
Usage : Toggle the display of support and resistance lines, customize their appearance, and use Bollinger Bands for additional insights.
Display Supports and Resistances :
Description : Toggle to enable or disable the display of support and resistance lines.
Details : When enabled, support and resistance lines will be shown on the chart, providing key levels for market analysis.
Swing Period :
Description : Set the retrospective period for identifying swing points.
Details : A longer period captures more significant trends but may reduce sensitivity. The default value is 10.
Support Line Color :
Description : Set the color for support lines.
Details : Choose a color that enhances chart readability. Default is green.
Resistance Line Color :
Description : Set the color for resistance lines.
Details : Choose a color that makes resistance lines easily distinguishable. Default is red.
Trend-Based Line Color :
Description : Toggle to enable dynamic coloring based on trend direction.
Details : When enabled, the color of the lines will change according to the trend, aiding visual analysis.
Line Thickness :
Description : Adjust the thickness of the support and resistance lines.
Details : Choose a thickness value between 1 and 5 for better visibility.
Line Style :
Description : Select the style of the lines.
Details : Options include Solid, Dotted, or Dashed lines for visual distinction.
Number of Lines to Display :
Description : Set the maximum number of support/resistance lines to display.
Details : Adjust the number of lines to avoid clutter or to show more levels.
Display Bollinger Bands :
Description : Toggle to show or hide Bollinger Bands on the chart.
Details : Bollinger Bands provide a visual representation of volatility and potential price ranges.
Bollinger Bands Integration :
Description : Enable the integration of Bollinger Bands for S/R calculation.
Details : This feature adjusts the placement of S/R lines based on the market volatility captured by the Bollinger Bands.
Bollinger Bands Color Settings :
Description : Set colors for different Bollinger Band conditions.
Details :
Green: Prices above the median but below the upper band (potential overbought area).
Dark green: Prices above the upper band (strong upward momentum).
Light red: Prices below the median but above the lower band (potential oversold area).
Dark red: Prices below the lower band (strong downward momentum).
Fill Opacity Adjustment :
Description : Adjust the fill opacity between Bollinger Bands.
Details : Set the opacity level to balance visibility with other chart elements.
BB Sensitivity Level :
Description : Adjust the sensitivity for determining S/R levels near Bollinger Bands.
Details : A higher value increases the consideration of levels near the bands.
Band Width Multiplier :
Description : Control the width of the Bollinger Bands.
Details : Adjust the multiplier to expand or contract the bands based on market volatility.
Uniform BB Coloring :
Description : Apply a consistent color to Bollinger Bands.
Details : Simplify visual interpretation with a uniform color.
Plotting and Alerts :
Plotting Bollinger Bands :
Description : Plot the Bollinger Bands on the chart.
Details : The bands are colored based on the conditions set for market volatility and price ranges.
Alerts and Notifications :
Description : Set alerts for support/resistance breaks and Bollinger Band breakouts.
Details : Notify traders of significant market events related to these levels.
📘 Enhanced Trend Lines Integration
Purpose : Identifies and plots trend lines based on market structure to help traders understand market direction and potential buy/sell points.
Usage : Toggle the display of trend lines, customize their appearance, and use enhanced calculations for trend analysis.
Display Trend Lines :
Description : Enable or disable the display of trend lines on the chart.
Details : These trend lines are calculated based on market structure, specifically through the detection of Breaks of Structure (BOS). If enabled, the trend lines will help in identifying the market overall trend and potential buy and sell points.
Trend Line Colors :
Upper Line Color : Set the color for the upper trend lines to enhance visual distinction.
Lower Line Color : Set the color for the lower trend lines, aiding in easy identification of support levels.
Pivot Labels :
Show Pivots Labels : Control the display of pivot labels on the chart.
Pivot Label Size : Select the size of the pivot labels displayed on the chart. Options include Tiny, Small, Normal, Large, and Huge.
Trend Line Calculations :
Pivot Depth : Adjust the depth for pivot calculation based on the selected timeframe to capture significant price movements.
Pivot Deviation : Set the deviation for pivot calculation to identify key turning points.
Pivot Backstep : Define the backstep for pivot calculation to ensure accurate detection of pivot points.
Enhanced Calculations :
Market Structure Detection : Utilize advanced algorithms to identify key market structures, improving trend line accuracy.
Adaptive Parameters : Automatically adjust pivot depth, deviation, and backstep based on the selected timeframe for better relevance.
Zigzag Calculation : Implement zigzag patterns to dynamically adjust trend lines, ensuring they reflect current market conditions.
Slope and Intercept Calculation : Compute the slope and intercept for trend lines to enhance precision in trend detection.
Dynamic Updates : Continuously update trend lines as new data becomes available, ensuring real-time accuracy.
Alerts and Notifications : Set alerts for new high and low pivots, as well as for when the price crosses upper or lower trend lines, keeping traders informed of significant market changes.
Plotting Trend Lines :
Trend Line Plotting : Automatically draw trend lines based on detected BOS, helping traders visualize the market trend.
Diagonal Support/Resistance Lines : Plot diagonal lines to indicate support and resistance levels, enhancing the understanding of market dynamics.
Pivot Label Customization : Customize pivot labels for clear identification of high and low points in the trend.
Alerts for Trend Lines : Set alerts for when price crosses trend lines, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Linear Regression Integration
Purpose : Uses linear regression to analyze price movements and identify trends.
Usage : Display the linear regression projection line, customize its appearance, and use enhanced calculations for better trend analysis.
Display Projection Line :
Description : Toggle to display or hide the linear regression projection line on the chart.
Details : This line represents the best fit line that predicts future prices based on historical data.
Data Source :
Description : Select the data source for the linear regression projection.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the linear regression projection line.
Trend-Based Line Color :
Enable Trend-Based Line Color : Toggle to automatically color the projection line based on the trend direction. When enabled, the line will be red for a downward trend and green for an upward trend, providing a visual indication of market direction.
Uptrend Line Color : Select the color for the projection line when the trend is upward. This color will be used when "Enable Trend-Based Line Color" is active.
Downtrend Line Color : Select the color for the projection line when the trend is downward. This color will be used when "Enable Trend-Based Line Color" is active.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Linear Regression Components :
Projection Line Plotting : Automatically draw the linear regression projection line based on historical data and the selected data source.
Label Customization : Customize the label for the projection line, including color and text, for clear identification on the chart.
Alerts for Projection Line : Set alerts for when the price crosses the projection line, ensuring timely notifications of potential trading opportunities.
📘 POC Analysis Integration
Purpose : Identifies the Point of Control (POC) to highlight price levels with the highest trading volume.
Usage : Toggle the display of the POC, customize its appearance, and use enhanced calculations for better market analysis.
Display POC :
Description : Toggle to display or hide the Point of Control (POC) on the chart.
Details : The POC is the price level at which the highest volume of trading occurred, indicating a focal point of market activity.
Data Source :
Description : Select the price source for POC analysis.
Details : This is typically the closing price but can be any price point such as open, high, or low. The selected source will be used to calculate the POC.
POC Line Colors :
Color Above POC : Set the line color when the closing price is above the POC.
Color Below POC : Set the line color when the closing price is below the POC.
Width Multiplier :
Description : Adjust the width around the price for POC analysis.
Details : A higher value broadens the calculation range.
POC Calculation and Visualization :
Price Level Initialization : Calculate the initial spacing between price levels based on the first candlestick and user settings.
Volume Data Accumulation : Accumulate volume data at specified price levels for each candlestick to determine the POC.
Dynamic Array Expansion : Expand price levels array to accommodate new price data outside the current range.
POC Determination : Determine and visualize the POC at the last candlestick if enabled by the user.
Alerts and Notifications : Set alerts for when the price crosses the POC, notifying traders of significant market events.
Plotting POC Components :
POC Line Plotting : Automatically draw the POC line based on historical data and the selected data source.
Label Customization : Customize the label for the POC line, including color and text, for clear identification on the chart.
Alerts for POC : Set alerts for when the price crosses the POC, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Divergences Integration
Purpose : Detects and displays divergences between price movements and indicators to identify potential reversal points.
Usage : Toggle the display of divergences, select data sources, customize divergence colors, and use enhanced calculations for better trend analysis.
Display Divergences :
Description : Toggle to display or hide the detected divergences on the chart.
Details : Divergences occur when the price movement of an asset and a related indicator (e.g., volume or momentum) move in opposite directions. They are used to identify potential reversal points in the market. Regular divergences signal possible reversals, while hidden divergences can indicate continuation.
Data Source :
Description : Defines the timeframe from which to fetch data for analysis.
Details : Typically lower than the chart current timeframe for multi-timeframe analysis.
Divergence Colors :
Bearish Divergence Color : Sets the color for bearish divergence lines. Bearish divergences typically suggest potential downward price movement.
Bullish Divergence Color : Sets the color for bullish divergence lines. Bullish divergences typically indicate potential upward price movement.
Pivot Bars :
Left Bars : Number of bars to the left of the pivot point to consider. Helps in identifying the pivot high or low by looking back these many bars.
Right Bars : Number of bars to the right of the pivot point to consider. Assists in confirming a pivot point by ensuring no higher high or lower low is present within this range.
Display Hidden Divergences :
Description : When enabled, this setting reveals hidden divergences on the chart.
Details : Hidden divergences are a subtler form of divergence that often signal continuation rather than reversal. A hidden bullish divergence occurs when price makes a higher low while the indicator makes a lower low, suggesting the continuation of an uptrend. Conversely, a hidden bearish divergence occurs when price makes a lower high while the indicator makes a higher high, indicating the continuation of a downtrend. These divergences are particularly useful for identifying the strength of the current trend.
Dynamic Line Width Based on Divergence Count :
Description : When enabled, adjusts the width of the divergence line dynamically based on the count of divergences detected.
Details : This provides visual emphasis on stronger signals.
Enhanced Calculations :
Standard Deviation Calculation : Calculate the standard deviation for a given length to understand the volatility around the linear regression line.
Pearson's Correlation Calculation : Compute Pearson's R to measure the strength of the linear relationship between the price points and the linear regression line.
Slope and Intercept Calculation : Calculate the slope and intercept for the regression line, providing the basis for the projection.
Kernel Application : Optionally apply the RBF Kernel to the selected source data for smoothing and enhancing the regression calculations.
Dynamic Length Selection : Automatically select the optimal regression period based on the highest Pearson's R value, ensuring the most accurate trend representation.
Real-Time Updates : Continuously update the regression line and related calculations as new data becomes available, maintaining accuracy in real-time.
Alerts and Notifications : Set alerts for when the price crosses the linear regression projection line, notifying traders of significant market events.
Plotting Divergence Components :
Divergence Line Plotting : Automatically draw divergence lines based on historical data and the selected data source.
Label Customization : Customize the label for the divergence lines, including color and text, for clear identification on the chart.
Alerts for Divergences : Set alerts for when a divergence is detected, ensuring timely notifications of potential trading opportunities.
📘 Enhanced Average True Range Integration
Purpose : Measures market volatility using the Average True Range (ATR) to assist in identifying potential buy and sell points.
Usage : Set the ATR period, minimum tick filter, upper and lower coefficients, and customize ATR colors for better market analysis.
Show Labels :
Description : Enable or disable the display of labels for the Average True Range (ATR) indicator.
Details : This option controls whether the ATR signals (buy and sell) are shown on the chart with respective labels.
ATR Period :
Description : Sets the period for calculating the Average True Range (ATR).
Details : The ATR measures market volatility by calculating the average range of price movement over a specified period. A shorter period makes the ATR more sensitive to recent price movements, while a longer period smooths out short-term volatility.
Minimum Tick Filter :
Description : Sets the minimum tick filter for buy and sell signals.
Details : This filter ensures that the price movement is significant enough to be considered a valid signal. For example, a value of 20 means that the price must move at least 20 ticks from the open to the close to generate a signal.
Upper Coefficient :
Description : Sets the upper coefficient for band calculation.
Details : This value adjusts the sensitivity of the upper band used to detect high points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
Lower Coefficient :
Description : Sets the lower coefficient for band calculation.
Details : This value adjusts the sensitivity of the lower band used to detect low points. A higher coefficient makes the band wider, capturing more significant price movements, while a lower coefficient makes the band narrower, making it more sensitive to smaller price changes.
ATR Colors :
Bullish Color : Sets the color for the bullish signal, helping to visually distinguish bullish trends.
Bearish Color : Sets the color for the bearish signal, helping to visually distinguish bearish trends.
Enhanced Calculations :
Dynamic Coefficient Calculation : Calculates dynamic coefficients based on market volatility, adjusting the sensitivity of ATR bands accordingly.
Band Calculation : Computes high and low bands using dynamic coefficients to detect significant price movements.
High/Low Point Detection : Identifies potential high and low points based on ATR band calculations and price thresholds.
Real-Time Updates : Continuously updates ATR calculations and signals as new data becomes available, ensuring accuracy in real-time.
Plotting ATR Components :
Signal Plotting : Plots bullish and bearish ATR signals on the chart based on calculated conditions.
Label Customization : Customize the labels for ATR signals, including color and text, for clear identification on the chart.
Alerts for Signals : Set alerts for detected bullish and bearish signals, ensuring timely notifications of potential trading opportunities.
📘 Enhanced ATR Visualization Parameters
Purpose : Provides a visual representation of market volatility using the ATR Strength Meter.
Usage : Toggle the display of the ATR Strength Meter, set thresholds, and customize its appearance for better market analysis.
Display ATR Strength Meter :
Description : Toggle to display or hide the ATR Strength Meter, a visual representation of market volatility.
Details : The meter is based on the Average True Range (ATR) and helps identify volatility trends.
High ATR Threshold :
Description : Set the threshold for high volatility.
Details : ATR values above this threshold indicate increased market volatility.
Low ATR Threshold :
Description : Set the threshold for low volatility.
Details : ATR values below this threshold indicate decreased market volatility.
Progression Bar Position :
Description : Select the position of the ATR Strength Meter on the chart.
Details : Options are "Top" or "Bottom", affecting where the volatility meter is displayed relative to price action.
Progress Bar Length :
Description : Set the horizontal length of the ATR Strength progression bar.
Details : Adjust to increase or decrease the bar's width, accommodating different chart sizes and user preferences.
Enhanced Calculations :
ATR Strength Calculation : Calculate the ATR strength to measure market volatility.
Dynamic Coefficients : Use dynamic coefficients based on volatility for more accurate calculations.
Progress Bar Calculation : Determine the position and color of the progression bar based on ATR strength.
Label Positioning : Dynamically position labels for minimum and maximum values to avoid overlap.
Plotting ATR Strength Meter :
Progression Bar Plotting : Plot the progression bar to represent the ATR strength.
Label Customization : Customize labels for the ATR strength, minimum, and maximum values.
📘 Enhanced Relative Strength Index Integration
(A special thanks to RumpyPumpyDumpy for allowing the private reuse of his script.)
Purpose : Measures market momentum using the Relative Strength Index (RSI) and Stochastic RSI to assist in identifying potential buy and sell points.
Usage : Set the RSI and StochRSI parameters, toggle the display of the RSI Meter, and customize its appearance for better market analysis.
RSI Calculation Parameters :
RSI Length : Defines the length of the RSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
RSI Overbought Level : Sets the overbought level for RSI.
Details : Values above this level indicate overbought conditions.
RSI Oversold Level : Sets the oversold level for RSI.
Details : Values below this level indicate oversold conditions.
StochRSI Length : Defines the length of the StochRSI calculation.
Details : A longer period captures more data points but may reduce sensitivity.
StochRSI %K Length : Defines the length of the %K line of the StochRSI.
StochRSI %D Length : Defines the length of the %D line (SMA of %K) of the StochRSI.
RSI Visualization Parameters :
Display RSI Meter : Toggle the display of the RSI Meter on the chart.
RSI Meter Size : Adjust the size of the RSI Meter displayed on the chart.
Details : Measured as the diameter of the meter. Increase the value for larger display size, enhancing visibility and making it easier to read the RSI trend at a glance.
Horizontal Offset : Move the RSI Meter horizontally across the chart.
Details : Positive values shift the meter to the left, allowing for placement adjustments relative to the chart's current view or specific visual preferences.
RSI Meter Components :
Sectors and Ticks : Draw sector arcs and tick marks around the RSI Meter to represent different RSI levels and thresholds.
Needle : Draw the needle on the RSI Meter to indicate the current RSI value.
Sector Labels : Label each sector of the RSI Meter to indicate market conditions like "Strong Buy," "Buy," "Neutral," "Sell," and "Strong Sell."
Title Label : Draw the title label for the RSI Meter displaying the RSI value and its period.
Enhanced Calculations :
RSI Calculation : Calculate the RSI using the built-in function with the specified length and source.
StochRSI Calculation : Calculate StochRSI values using the specified lengths for RSI, %K, and %D.
Dynamic Line Management : Efficiently manage and update dynamically created line objects to prevent potential memory leaks.
Optimized Sector and Needle Drawing : Enhanced the drawing functions for sectors, needles, and ticks to improve visual clarity and performance.
Plotting RSI Meter :
Sector Plotting : Draw the sectors on the RSI Meter using specified colors and widths to represent different RSI levels and thresholds.
Needle Plotting : Plot the needle on the RSI Meter based on the calculated RSI value to visually indicate the current RSI level.
Tick Plotting : Plot tick marks around the RSI Meter to denote key RSI levels and thresholds for better readability.
Label Plotting : Draw sector labels and a title label on the RSI Meter to provide context and information about the RSI levels and their corresponding market conditions.
📘 Market Sentiment Integration
Purpose : Analyzes market sentiment using various indicators to provide an overall sentiment score.
Usage : Enable or disable individual sentiment indicators, set account type, and customize sentiment calculations for better market analysis.
Volatility Index (IV) :
Description : Enable or disable the use of the Volatility Index in sentiment calculation.
Details : When enabled, the Volatility Index (IV) provides insight into market sentiment by measuring market volatility. The selected Volatility Index varies based on your TradingView account type.
Account Type :
Description : Select your TradingView account type.
Details : Free accounts use SPX, while Premium accounts use VIX.
Put/Call Ratio (PCR) :
Description : Enable or disable the use of the Put/Call ratio in sentiment calculation.
Details : The Put/Call ratio is a sentiment indicator that measures the volume of put options traded relative to call options, indicating market sentiment towards bearish or bullish expectations.
Fear and Greed Index :
Description : Enable or disable the use of the Fear and Greed Index in sentiment calculation.
Details : The Fear and Greed Index gauges the prevailing emotions in the market, indicating whether investors are inclined towards fear (bearish sentiment) or greed (bullish sentiment).
Momentum Indicators :
Description : Enable or disable the use of momentum indicators like MACD and RoC in sentiment calculation.
Details : Momentum indicators help identify the strength and direction of price movements, assisting in sentiment analysis.
Adaptive Periods for Shorter Timeframes :
Description : Toggle this option to use shorter periods for sentiment indicators when analyzing lower timeframes.
Details : Enabling this option allows for more responsive and sensitive analysis when working with shorter timeframes.
Calculation Details :
Normalization Function : Normalize the values of the indicators over a 252-period range.
Set Periods Function : Set periods based on user preference for faster or slower periods, adjusting the analysis sensitivity.
IV Calculation : Calculate the IV value based on the selected Volatility Index (SPX for Free accounts, VIX for Premium accounts).
Put/Call Ratio Calculation : Calculate the Put/Call ratio using volume data, where put volume is proportional to the trading range, and call volume is proportional to the price change.
RoC Calculation : Calculate the Rate of Change (RoC) as a momentum indicator, measuring the percentage change in closing prices over a specified period.
Dynamic Thresholds : Define dynamic thresholds based on historical data, calculating mean and standard deviation to determine upper and lower thresholds for IV, PCR, and RoC.
📘 Enhanced Market Trend Dashboard Integration
Purpose : Provides a summary of key market indicators and signals in a single dashboard for quick and easy reference.
Usage : Customize the dashboard settings to display relevant market information, including Ichimoku components, Linear Regression, Support/Resistance levels, MACD, RSI, and Market Sentiment.
Market Trend Dashboard Parameters :
Display Market Trend Dashboard : Toggle to show or hide the market trend dashboard, providing a summary of key indicators and signals.
Panel Position : Select the position of the dashboard on the chart for optimal viewing.
Panel Text Size : Choose the text size for the information displayed in the dashboard, ensuring readability.
Panel Background Color : Set the background color of the market trend dashboard, enhancing contrast with the chart.
Ichimoku Dashboard Parameters :
Display Ichimoku Dashboard : Toggle to show or hide the Ichimoku section in the dashboard.
Display Tenkan-Sen Price Cross : Indicate when the price crosses the Tenkan-Sen line, signaling potential trade opportunities.
Display Kijun-Sen Price Cross : Indicate when the price crosses the Kijun-Sen line, often considered a stronger signal than Tenkan-Sen crosses.
Display Chikou Span Price Cross : Indicate Chikou Span price crosses, providing insight into potential trend reversals.
Display Kumo Breakout : Indicate Kumo (cloud) breakouts, which can signify major trend shifts.
Display Kumo Twist : Indicate Kumo twists, suggesting changing market dynamics and potential reversals.
Linear Regression Projection Dashboard Parameters :
Display LR Projection Dashboard : Toggle to show or hide the Linear Regression Projection section in the dashboard.
Display Linear Regression Period : Indicate the period used for Linear Regression Projection analysis.
Display Pearson R Details : Show the Pearson R value in the dashboard, indicating the strength and direction of the correlation in the Linear Regression Projection.
Supports and Resistances Dashboard Parameters :
Display S/R Dashboard : Toggle to show or hide the Support and Resistance section in the dashboard.
Display S/R Break Prices : Show the latest break prices of support and resistance levels in the dashboard.
MACD Dashboard Parameters :
Display MACD Dashboard : Toggle to show or hide the MACD section in the dashboard.
RSI Dashboard Parameters :
Display RSI Dashboard : Toggle to show or hide the Relative Strength Index section in the dashboard.
Display RSI Details : Show the RSI value and status in the dashboard.
Display StochRSI Details : Show the StochRSI %K, %D values and status in the dashboard.
Market Sentiment Dashboard Parameters :
Display Market Sentiment Dashboard : Enable or disable the display of the Market Sentiment Dashboard, which summarizes key market sentiment indicators like Implied Volatility, Put/Call Ratio, and Fear and Greed Index.
Display Implied Volatility Details : Show or hide the Implied Volatility details in the Market Sentiment Dashboard.
Display Put/Call Ratio Details : Show or hide the Put/Call Ratio details in the Market Sentiment Dashboard.
Display Fear and Greed Index Details : Show or hide the Fear and Greed Index details in the Market Sentiment Dashboard.
Enhanced Calculations :
Ichimoku Cloud Trend Calculation : Calculates trend based on the relationship between Ichimoku Cloud components, identifying bullish or bearish trends.
Support and Resistance Break Detection : Detects breaks in support and resistance levels and updates the dashboard accordingly.
Linear Regression Projection Calculation : Calculates Linear Regression Projection and Pearson R value for trend analysis.
MACD Signal Calculation : Determines MACD status based on histogram values.
RSI and StochRSI Calculation : Calculates RSI and StochRSI values and updates their statuses in the dashboard.
Market Sentiment Score Calculation : Calculates overall market sentiment score based on individual sentiment indicators.
Dynamic Alert Management : Manages alerts for various dashboard signals to prevent repeated alerts.
Real-Time Data Integration : Continuously updates the dashboard with real-time data for accurate and current trend analysis.
Plotting Market Trend Dashboard Components :
Ichimoku Components Plotting : Plots Tenkan-Sen, Kijun-Sen, Chikou Span, and Kumo cloud with dynamic adjustments.
Support and Resistance Levels Plotting : Plots support and resistance levels and updates them dynamically based on market data.
Linear Regression Projection Plotting : Plots the Linear Regression Projection line and labels with trend-based colors.
MACD and RSI Plotting : Plots MACD and RSI signals on the dashboard, including status updates.
Market Sentiment Indicators Plotting : Plots Market Sentiment indicators like IV, PCR, and Fear and Greed Index with dynamic updates.
Alert Notifications Plotting : Plots alert notifications for significant market changes based on dashboard signals.
Summary
This comprehensive market analyzer integrates multiple technical indicators, including machine learning, Ichimoku Kinkō Hyō, candlestick patterns, Fibonacci retracement, support and resistance levels, trend lines, linear regression, POC analysis, divergences, ATR, RSI, and market sentiment. Each section includes detailed descriptions and usage instructions to help traders understand how to effectively utilize the indicator in their trading strategies.
Gabriel's Squeeze Momentum📊 Gabriel’s Squeeze Momentum — Deluxe Volatility + Momentum Suite
An advanced, all-in-one squeeze & momentum framework that times volatility compression/expansion and trend shifts, with optional CVD (cumulative volume delta) momentum, ATR zone context, Discontinued Signal Lines (DSL) scalps, Colored DMI trend label, Williams VIX Fix (WVF) low-volatility exhaustion pings, Buff’s VTTI/VPCI volume confirmation, and real-time divergence detection.
What it does:
Discover Squeezes. They occur when volatility contracts, often preceding significant price moves.
Measures momentum with a fast, ATR-normalized linear regression—optionally on Price or CVD—so you see direction and “how hard it’s pushing.”
🧭 Signal Legend ~ Colors the squeeze so you instantly know regime:
🟡 / 🟣 (Tight/Very Tight): Coiled spring; prepare a plan.
🔴 / ⚫ = (Regular/Wide): Watch for Divergences between Price and Momentum.
🟢 (Fired): Expansion started; trade with momentum cross and bias.
Adds context bands at ±1/±2/±3 ATR (“trend / expansion / OB-OS”) to filter late or weak signals.
DSL (Discontinued Signal Lines) give early scalp flips on momentum vs. adaptive bands.
DMI label & triangles communicate trend strength and whether +DI / −DI is in control.
Williams VIX Fix flags capitulation/exhaustion style spikes (with optional VIX proxy).
VTTI/VPCI modules confirm when volume aligns with price trend or contradicts it.
Divergences (regular & hidden) auto-draw with optional live (may repaint) or on-close.
🎢 Squeeze Momentum — How the Logic Works 🎢
The Squeeze Momentum model is built on the principle of volatility compression and expansion. In markets, periods of low volatility are often followed by explosive moves, while high volatility eventually contracts. The “squeeze” seeks to identify these compression phases and prepare traders for the likely expansion that follows.
This indicator achieves that by comparing Bollinger Bands (BB) to Keltner Channels (KC).
Bands: Bollinger vs. Keltner
Bollinger Bands (BB): Calculated using a Simple Moving Average (SMA) of price and standard deviations (σ) of the closing price. The bands expand and contract depending on volatility.
Keltner Channels (KC): Built from an SMA plus/minus multiples of the Average True Range (ATR). Unlike some simplified squeeze indicators that approximate ATR, this implementation uses a true ATR-based KC, ensuring accuracy across different assets and timeframes.
By comparing whether the Bollinger Bands are inside or outside the Keltner Channels, the indicator identifies different squeeze regimes, each representing a distinct volatility environment.
📦 Regime Colors
The squeeze states are color-coded for quick interpretation:
🔹Wide Squeeze (⚫): BB inside KC with a high ATR multiplier. Extremely low volatility, often before major expansion.
🔹Normal Squeeze (🔴): BB inside KC with a moderate ATR multiplier (about 25% more sensitive than Wide). Typical compression setting.
🔹Narrow Squeeze (🟡): BB inside KC with a lower ATR multiplier (about 50% more sensitive than Wide). Signals tighter compression.
🔹Very Narrow Squeeze (🟣): BB inside KC with the lowest ATR multiplier (100% more sensitive than Wide). Indicates extreme coiling.
🔹Fired Squeeze (🟢): BB break outside KC. Marks the release of volatility and potential trend acceleration.
This multi-layered system improves upon classical SQZPRO by using precisely calculated Keltner Channels and multiple sensitivity levels, giving traders more granular information about volatility states.
🔒 Multi-Timeframe Support
The indicator automatically adjusts squeeze thresholds for different timeframes — hourly, 4-hour, daily, weekly, and monthly charts. Each regime has been manually tuned for its timeframe, allowing traders to use the same tool whether scalping, swing trading, or holding longer-term positions.
🎯 Momentum Core
Detecting a squeeze is only half the equation — the indicator also includes a momentum engine to determine direction and strength.
Price momentum is measured as the distance of Close from its Highest High and Lowest Low range, smoothed with a Simple Moving Average, and refined with Linear Regression.
This value is then divided by ATR, normalizing momentum relative to volatility.
Optionally, CVD Mode (Cumulative Volume Delta ÷ Volume) can replace price momentum for assets where order-flow and volume dynamics dominate (e.g., crypto).
🦆 Signal Line
Momentum is paired with a Simple Moving Average signal line:
🔹Bullish: Momentum > Signal.
🔹Bearish: Momentum < Signal.
This crossover logic provides directional bias and filters for false squeezes.
🚀 When to Use Price vs. CVD
CVD Mode (Crypto, FX with tick volume): Best for assets with strong volume/order-flow signals.
Price Mode (Equities, Commodities, Higher TFs): Best for assets with irregular or thin volume data.
🛢️ATR Zones (context filter) 🛢️
Its design is straightforward yet effective: it measures the difference between the current price from its highest highs, lowest lows, and a moving average over a chosen period, then expresses that difference in terms of the Average True Range (ATR) over the same period. By normalizing price deviations against volatility, ATR provides a clear sense of how far and how fast price is moving relative to its “normal” range.
Interpreting the Zone
Positive Values: When it is above zero, price is trading above its HH, LL, and moving average, suggesting bullish momentum. The higher the value, the stronger the momentum relative to volatility.
Negative Values: When the Momentum is below zero, price is trading below its HH, LL, and moving average, signaling bearish momentum. The deeper the reading, the stronger the downside pressure.
Magnitude Matters: Because the Momentum is expressed in ATR units, traders can immediately gauge whether the move is small (less than 1 ATR), moderate (1–2 ATRs), or extreme (3+ ATRs). This makes it especially useful for assessing overbought or oversold conditions in a normalized way.
Strengths:
🔹Volatility-Normalized: Unlike simple squeeze momentum oscillators that have different OB/OS levels, this Momentum adjusts for volatility. This makes signals more consistent across assets with different volatility profiles.
🔹Simplicity:
±1 ATR: trending zone (bulls above +1, bears below −1)
±2 ATR: expansion (keep, add, or trail). Stretch/risk of mean reversion.
±3 ATR: potential exhaustion/mean-revert zone.
🔹Momentum Clarity: By framing momentum in ATR terms, it is easier to distinguish between a small deviation from trend and a genuinely significant move. Sometimes it is a good sign that it trend to ±3/2 ATR, looks for similar directional moves.
Color: The script shades +2/+3 (OB) and −2/−3 (OS) areas and provides swing alerts at ±1 ATR.
💚 What Are Discontinued Signal Lines (DSL)? 💚
In technical analysis, one of the most common tools for smoothing out noisy data is the signal line. This concept appears in many indicators, such as the MACD or stochastic oscillator, where the raw value of an indicator is compared to a smoothed version of itself. The signal line acts as a lagging filter, making it easier to identify shifts in momentum, crossovers, and directional changes.
While useful, the classic signal line approach has limitations. By design, a single smoothed line introduces lag, which means traders may receive signals later than ideal. Additionally, a one-size-fits-all smoothing process often struggles to adapt to different levels of volatility or rapidly changing market conditions.
This is where Discontinued Signal Lines (DSL) come in. DSL is an advanced extension of the traditional signal line concept. Instead of relying on just one smoothed comparison, DSL employs multiple adaptive lines that adjust dynamically to the current state of the indicator. These adaptive lines effectively “discontinue” the dependence on a single, fixed smoothing method, producing a more flexible and nuanced representation of market conditions.
How DSL Works?
Traditional Signal Line: Compares an the Momentum against its own moving average. Provides crossover signals when the raw indicator value moves above or below the smoothed line.
Strength: reduces noise. Weakness: delayed signals and limited adaptability.
DSL Extension: Uses multiple adaptive lines that respond differently to the indicator’s current behavior. Instead of one static moving average, the DSL approach creates faster and slower “reaction lines.” These lines adapt dynamically, capturing acceleration or deceleration in the indicator’s state.
Result: Traders see how momentum is evolving across multiple adaptive thresholds. This reduces false signals and improves responsiveness in volatile conditions.
Benefits of Discontinued Signal Lines
🔹Nuanced Trend Detection
DSL doesn’t just flag when momentum changes direction—it shows the quality of that shift, highlighting whether it is gaining strength, losing steam, or consolidating.
🔹Adaptability Across Markets
Because DSL adjusts to the Momentum’s own dynamics, it works well across different asset classes and timeframes, from equities and futures to forex and crypto.
🔹Earlier Signal Recognition
Multiple adaptive lines allow traders to spot developing trends earlier than with a single smoothed signal line, without being overwhelmed by raw indicator noise.
🔹Better Confirmation
DSL is particularly useful for confirmation. If both adaptive lines agree then a fill is applied in the direction, confidence in the trend is higher as the color turns bull/bear.
🔹Practical Uses
Momentum Trading: Spot acceleration or deceleration in trend strength.
Trend Confirmation: Verify whether a breakout has momentum behind it.
Noise Filtering: Smooth out erratic moves while retaining adaptability.
⚖️ Colored Directional Movement Index (CDMI) ⚖️
The Directional Movement Index (DMI), created by J. Welles Wilder, is one of the most respected trend-following indicators in technical analysis. It is actually a family of three separate indicators combined into one: the +DI (Positive Directional Indicator), the –DI (Negative Directional Indicator), and the ADX (Average Directional Index). Together, they measure not only whether the market is trending but also the strength of that trend. Traders have used the DMI for decades to identify trend direction, gauge momentum, and filter out periods of market noise.
However, despite its reliability, the traditional DMI can be challenging to interpret. Reading three separate lines at once and extracting meaningful signals requires both experience and careful observation. This complexity often discourages newer traders from fully utilizing its power.
The Colored Directional Movement Index (CDMI) is a modern reinterpretation of Wilder’s classic tool. It condenses the same information into a single visual line while using color, shape, and density to communicate what’s happening beneath the surface. The goal is simple: make the DMI’s insights faster to read, easier to act upon, and more intuitive to integrate into trading decisions.
Key Features of CDMI
🔹Color Scale for Trend Strength
The main triangle changes its base color depending on the strength of the DI reading. Dark Red or Green, colors correspond to stronger trends, while faded Gray or lighter yellow tones signal weaker or fading trends. This makes it visually clear when the market is consolidating versus trending strongly.
🔹Color Density for Momentum
Beyond strength, the CDMI uses color density to represent momentum in the trend’s strength. If the ADX is rising (trend gaining momentum), the triangles grows more darker. If the ADX is falling (trend losing momentum), the triangle becomes paler. This provides an instant sense of whether a trend is accelerating or decelerating.
🔹Directional Triangles for Trend Direction
To replace the separate +DI and –DI lines, the CDMI plots small triangle shapes along the bottom axis. An upward-facing triangle indicates that +DI is dominant, confirming bullish direction. A downward-facing triangle signals –DI dominance, confirming bearish direction. This way, both strength and direction are shown without the clutter of multiple overlapping lines.
🔹Label Display for Detailed Values
For traders who want precise data alongside the visuals, CDMI includes a label that shows:
Current trend strength (ADX value).
Current +DI and –DI values.
Momentum status of the ADX (rising or falling).
Historical values of DMI readings, so traders can track how the indicator has evolved over time.
Tooltips are also available to explain “How to read the colored DMI line”, making this version more beginner-friendly.
Why CDMI Matters
The CDMI retains the proven reliability of Wilder’s DMI while solving its biggest drawback—interpretation difficulty. Instead of juggling three separate plots, traders get a single, information-rich line supplemented with intuitive shapes and labels. This streamlined format makes trend verification, momentum analysis, and signal confirmation much faster.
For trading applications, the CDMI can help:
Confirm Entries by showing whether the market is trending strongly enough to justify a position.
Avoid False Signals by filtering out periods of low ADX (weak trend).
Enhance Timing by tracking momentum shifts in trend strength.
By simplifying the complexity of the original DMI into an elegant, color-coded tool, the CDMI makes one of technical analysis’ most advanced indicators practical for everyday use.
😅 The VIX, the Williams Vix Fix, and Market Bottoms 😎
The VIX, formally known as the CBOE Volatility Index, has long been considered one of the most reliable indicators for spotting major market bottoms. Often referred to as the “fear gauge,” it measures the market’s expectation of volatility in the S&P 500 over the next 30 days. When fear grips investors and volatility spikes, the VIX rises sharply. Historically, these moments of extreme fear often coincide with powerful buying opportunities, as markets have a tendency to rebound once panic selling exhausts itself.
Larry Williams, a well-known trader and author, developed the Williams Vix Fix as a way to replicate the insights of the VIX across any tradable asset. While the VIX itself is tied specifically to S&P 500 options, Williams wanted a tool that could capture similar panic-driven dynamics in stocks, futures, forex, and other markets where the VIX is not directly applicable. His “fix” uses price action and volatility formulas to approximate the same emotional extremes reflected in the official VIX, creating almost identical results in practice. This makes the Williams Vix Fix a powerful addition to the trader’s toolbox, allowing the same principle that works on U.S. equities to be applied universally.
One of the most important characteristics of both the VIX and the Williams Vix Fix is that they are far more reliable at signaling market bottoms than market tops. The reason is psychological as much as it is mathematical. At market bottoms, fear and panic are widespread. Retail investors often capitulate, selling in a frenzy as prices drop. This panic drives volatility higher, producing the spikes we see in the VIX. At the same time, professional traders and institutions—those with larger capital and more disciplined strategies—tend to step in when volatility is stretched. They buy when others are fearful, using the panic of retail investors as an opportunity to acquire assets at discounted prices. This confluence of retail panic and institutional buying power is what makes the VIX such a strong bottom-finding tool.
In contrast, at market tops, the dynamic is very different. Tops tend not to be marked by panic or fear. Instead, they form quietly as enthusiasm fades, liquidity dries up, and buying interest wanes. Investors are often complacent, assuming prices will continue to rise, while professional money begins distributing their positions. Because there is no surge in fear, volatility remains muted, and the VIX does not offer a clear warning. This is why traders who rely on the VIX or the Williams Vix Fix must understand its limitations: it is exceptional for detecting bottoms but less useful for anticipating tops.
For traders, the lesson is straightforward. When you see the VIX or Williams Vix Fix spiking to extreme levels, it often indicates a high-probability environment for a rebound. These tools should not be used in isolation, but when combined with support levels, sentiment indicators, and market breadth, they can provide some of the most reliable bottom-fishing signals available. While no indicator is perfect, few have stood the test of time as consistently as the VIX—and thanks to Williams’ adaptation, its power can now be applied to nearly every market.
Indicator Signals (Great in risk-off charts):
🔹Flags spike events (tops/bottoms) with both original and filtered (AE/FE) criteria.
🔹Great as a risk overlay: tighten stops into AE/FE, or require “no spike” to enter.
🤯 Volume Comfirmation: VTTI & VPCI (Buff Dormeier) 🤯
Volume Trend Technical Indicator (VTTI)
The Volume Trend Technical Indicator (VTTI) is a momentum-style tool that analyzes how volume trends interact with price movement. Unlike basic volume measures that simply report how many shares or contracts were traded, the VTTI evaluates whether volume is expanding or contracting in the same direction as the prevailing price trend. The underlying logic is that healthy trends are supported by rising volume, while weakening trends often occur on shrinking volume.
At its core, VTTI looks at the rate of change in volume compared to price movements. By smoothing and normalizing these relationships, the indicator helps traders determine whether momentum is accelerating, decelerating, or diverging.
Rising VTTI: Suggests that volume is confirming the current price trend, strengthening the case for continuation. Flips BG Green after crossing it's signal.
Falling VTTI: Indicates that the trend may be losing participation, often a sign of possible consolidation or reversal. Flips BG Red after crossing it's signal.
Traders often use VTTI to filter entries and exits. For example, if price breaks out but VTTI does not rise above zero, the breakout may lack conviction. On the other hand, when both price and VTTI are aligned, probability of continuation improves.
Volume Price Confirmation Indicator (VPCI)
The Volume Price Confirmation Indicator (VPCI), developed by Buff Dormeier, takes the relationship between price and volume a step further. While traditional indicators like On-Balance Volume (OBV) or Chaikin Money Flow look at cumulative patterns, VPCI breaks price and volume into trend and volatility components and then recombines them to measure how well they confirm each other.
In essence, VPCI asks: “Does volume confirm what price is signaling?”
The formula integrates:
Price Trend Component – whether the market is trending upward or downward.
Volume Trend Component – whether trading activity supports that price trend.
Volatility Adjustments – to account for irregular swings.
The resulting oscillator fluctuates around a zero line:
Positive VPCI: Indicates that price and volume trends are in agreement (bullish confirmation).
Negative VPCI: Suggests that price and volume are diverging (bearish warning or false move).
Crossovers of Zero: Can serve as potential buy or sell signals, depending on context.
A key strength of VPCI is its sensitivity to divergence. When prices continue rising but VPCI begins falling, it often foreshadows a weakening rally. Conversely, a rising VPCI during a flat or down market can highlight early accumulation.
VTTI (Entry Signal) vs. VPCI (Exit Signal)
While both indicators study price-volume dynamics, their focus differs:
VTTI is simpler, emphasizing the trend of volume relative to price for momentum confirmation.
VPCI is more advanced, decomposing both price and volume into multiple components to produce a nuanced oscillator.
Used together, they provide complementary insights. VTTI helps quickly spot whether volume is supporting a move, while VPCI offers deeper confirmation and highlights subtle divergences.
Note: The Up/Down Volume Alert works better on the 4 HR, for Daily scalps or 30 minute for HR scalps. Intraday it's 2/10 minute.
🦅 Divergence toolkit 🦅
Divergences in Technical Analysis
Divergence occurs when the price action of an asset moves in one direction while a technical indicator, such as RSI, MACD, or Momentum, moves in the opposite direction. This disagreement between price and indicator often signals a shift in underlying market dynamics. Traders use divergences to anticipate either potential reversals or continuations in trends.
There are two main types of divergences: regular divergences, which typically precede reversals, and hidden divergences, which suggest continuation of the current trend.
Regular Divergence (Reversal Signals)
A regular divergence occurs when price and indicator disagree during a trend extension. These divergences signal that momentum is no longer fully supporting the current trend and that a reversal may be imminent.
🔹Regular Bullish Divergence
Price Action: Forms a lower low.
Indicator: Forms a higher low.
Interpretation: Price is making new lows, but the indicator is gaining strength. This suggests that selling pressure is weakening, and a reversal to the upside may occur.
Example: RSI rising while price dips to fresh lows.
🔹Regular Bearish Divergence
Price Action: Forms a higher high.
Indicator: Forms a lower high.
Interpretation: Price is reaching new highs, but the indicator shows weakening momentum. This implies that buying pressure is fading, warning of a potential downside reversal.
Example: MACD histogram falling while price makes higher highs.
Regular divergences are often spotted near the end of trends and are most powerful when aligned with key support/resistance levels or overbought/oversold conditions.
Hidden Divergence (Continuation Signals)
A hidden divergence occurs during retracements within a trend. Unlike regular divergences, hidden divergences suggest that the prevailing trend still has strength and is likely to continue.
🔹Hidden Bullish Divergence
Price Action: Forms a higher low.
Indicator: Forms a lower low.
Interpretation: Price is retracing within an uptrend, but the indicator is overshooting downward. This shows that momentum remains intact, supporting continuation upward.
🔹Hidden Bearish Divergence
Price Action: Forms a lower high.
Indicator: Forms a higher high.
Interpretation: Price is retracing within a downtrend, while the indicator overshoots upward. This indicates that bearish momentum remains strong, supporting continuation downward.
Hidden divergences often appear during pullbacks, helping traders time entries in the direction of the prevailing trend.
Practical Use of Divergences
🔹Trend Reversal Alerts – Regular divergences are early warnings that a trend may be ending.
🔹Trend Continuation Signals – Hidden divergences help confirm that retracements are simply pauses, not full reversals.
🔹Confluence with Other Tools – Divergences are more reliable when combined with support/resistance, candlestick patterns, or volume analysis.
🔹Multi-Timeframe Analysis – Spotting divergences on higher timeframes often produces stronger signals.
🕭🔔🛎️ Alert 🛎️🔔🕭
🔹Squeeze
🟢 Fired Squeeze
⚫ Low (Wide) Squeeze / 🔴 Normal / 🟡 Tight / 🟣 Very Tight
🔹Momentum
🐂 Bullish Trend Reversal (Crossover of Momentum and Signal from sub −2)
🐻 Bearish Trend Reversal (Crossover of Momentum and Signal from above +2)
📈 Bullish Swing (cross above +1 ATR) / 📉 Bearish Swing (cross below −1 ATR)
🔹DSL
💚 Bullish DSL Scalp / 💔 Bearish DSL Scalp
🔹Volume
🎯 Strong Up Volume (VPCI > 0 and VTTI up)
⏳ Strong Down Volume (VPCI < 0 and VTTI down)
🔹Divergences
🦅 Bullish, 🦆 Bearish, 🦅 Bullish Hidden, 🦆 Bearish Hidden
Management: Search Vanguard ETFs in your browser, look up full list of VOO holdings. Download it, or copy paste all the ticker symbols. Place that with a AI, just ask it to place , in between each ticker. NVDA, TSLA, AVGO, etc. Create a new watchlist, in the + add all tickers separated by commas. Place a watchlist alert ⚠️ only available for premium + subscribers.
Practical playbook
1) Classic Squeeze Break
Setup: 🔴(D)/🟡(2D)/🟣(3D) squeeze → wait for 🟢(1HR) Fired.
Confirm: Momentum > Signal and above +1 ATR (or DMI strong & rising).
Manage: add on pullbacks that hold +1 ATR; scale near +2 ATR or WVF AE/FE.
2) DSL Scalp in Trend
Setup: Clear trend (DMI strong) + DSL bull/bear trigger in the direction of trend.
Filter: avoid tight/very tight yellow/purple unless you want micro-scalps.
Exit: opposite DSL or ATR midline loss.
3) Mean-Reversion Fade
Setup: Momentum extended to ±3 ATR, WVF spike, and a regular divergence.
Entry: Counter signal only when mom crosses back through ±3 ATR toward mid. Exit early if squeeze ⚫/🔴, Momentum may extend to ±3/2 ATR in the same direction.
Risk: reduce size; this is a fade, not trend following.
4) Volume-Confirmed Breakout
Setup: Squeeze → 🟢 Fired + VPCI > 0 and VTTI up → trend continuation.
Manage: trail behind +1 ATR (long) or −1 ATR (short). 9 SMA works good.
Inputs at a glance (key ones)
Mode: Price or CVD momentum; Squeeze Sensitivity (σ); Momentum Length; Signal Length; ATR Smoothing.
🧮 Colors:
SQZMOM: per squeeze regime, momentum, ATR fills.
DSL: On/Off, Fast/Slow, Length.
ATR Zones: Bullish/Bearish levels (±1), ±2/±3 zone lines & fills.
DMI: Lengths, key & weak thresholds, label on/off.
WVF/VIX: Lookbacks, bands, AE/FE toggles, VIX proxy symbol.
VTTI/VPCI: Fast/slow/signal (VTTI), Short/Long (VPCI), and volume source (Tick/CVD/NVI/PVI/OBV/PVT/AccDist/VWAP).
Divergences: Regular/Hidden toggles, Sensitivity %, Lifetime, Live vs On-Close, Lines/Labels.
🔎 Suggested defaults (feel free to tweak)
Calibration: Size Momentum, so that when it's above zero the asset is trending up. For the signal, it can be kept the same or lower.
Intraday (60–240m): σ = 2.0, 18~20, 3~5, DSL Fast, DMI key 23, weak 17.
Daily/Weekly: keep σ = 2.0, consider DSL Slow, DMI key 25, weak 20, widen ATR filters; lean on VPCI/VTTI (4-HR).
CVD mode: use where tick/volume quality is high (index futures, liquid equities, crypto majors).
🪟 Tips & caveats
Swing Screener: Favor liquid underlyings (index futures/ETFs, large caps). Large-Cap, 2 M Vol, Mid-Cap, 500K Vol. Squeeze: BB( 20) upper < KC (20) upper, and BB (20) lower > KC (20) lower. Optional: Price above 9 SMA, 21 SMA, and 50 SMA, they are my SMA of choice. 200 SMA too, unless you are willing to fish in a bear market. Vice-versa for shorts. Optional: ADX 4 HR > 17, or 23 depending on what you are looking for.
Scalp Screener: Same as above, change the D 9 SMA to 5, and the BB/KC from D to 1 HR. Scalps may last 2~3 days.
Position Screener: Change all daily setting to W, aside from Volume. Optional: PEG < 1.5, FCF > 0, ROA > 8% or ROE > 6%.
Good with Moving averages (9/21/50) and low-volume zones.
Position size by IV, ATR, and account risk. Consider stop/hedge rules around ±2/±3 ATR.
Let alerts stage your watchlist; act only on combined squeeze + momentum signals.
Divergences in live mode can repaint (Real-Time); for algo or alerts, use on-close.
Tight/Very tight squeezes are great for scalps but choppy; combine with DMI rising + VPCI>0.
±3 ATR is exhaustion context, not an auto-fade—look for WVF/Div/DSL confirmation.
For alerts, pair “Fired Squeeze + Bullish Swing” (or bearish) to avoid false starts.
🎯 How to Trade Entry ~ Recap:
Tight/very tight squeeze → fires → momentum crosses up (or DSL bull).
Exit/Flip: Momentum crosses down into/after expansion or hits +2/+3 ATR with fade signs. Filter: Avoid fresh longs at +3 ATR; avoid fresh shorts at −3 ATR unless fading with confirmation.
📐 Options Integrations
✅ Risk Reversal/Modified Risk Reversal (Bullish: Short Put + Long Call)
Use when: Squeeze fires up from 🟡/🟣 and momentum crosses above signal (or zero/DSL).
Playbook Entry: On or just after the bullish fire and momentum upcross. DMI or Volume supports trend as well.
Structure: Sell a put at/just below the −2 ATR reference (or recent swing support). Buy a call at/above the breakout zone (prior high/mid-range +1 to +2 ATR).
A classic risk reversal is a long call plus a short put. That’s a very bullish structure—you gain if the price rallies (via the call), and you collect a premium by selling a put. But it has a naked downside risk. The modified risk reversal fixes that by adding a long lower put (making the short put into a defined put credit spread).
Management: If momentum stays above signal, ride toward +2 → +3 ATR. Sell the put near the current price → receive big premium. Buy the lower put → spend part of that premium (risk cap). Buy the call above the current price → spend more, but the short put premium mostly pays for it.
Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → reduce. If price retests −1/−2 ATR and holds, you can roll the short put down/out.
Breakout = Big Success; No Breakout = you keep the initial credit. Reversal = Max loss is capped by the long lower put.
✅ Iron Condor (Neutral: Short OTM Put Spread + Short OTM Call Spread)
Use when: Squeeze is active (🟡/🟣), momentum is flat near zero, and there is no directional edge. 🟢 lasts for around 5~8 bars typically. I measure the historical duration of it, and wait for a range period to occur.
Playbook Entry: During compression, set wings outside ±2 ATR (or recent range extremes). I prefer identifying boxes where the rectangle pattern occurs on the chart.
Management: Time decay works while price remains trapped in the coil. High-winrate ~80%, but 1 loser can wipe most of the gains.
Exits/Adjust: If a squeeze fires and momentum breaks hard one way, close the losing side, consider converting to a vertical or rotating to a directional spread aligned with momentum.
4HR-Bullish, closing one wing:
Tip: Align daily/weekly context with your intraday entries. 9 > 50 on Weekly, similar on Daily. Sell premium into compression; switch to directional spreads on expansion and momentum confirmation.
✅ Naked Call/Puts (Directional: 10~30 Delta Calls)
Stick to naked calls and puts when the squeezes are fired from either 🔴 or ⚫.
Look for Strikes slightly out of the money with an OI and Volume spread less than <10%.
If Strike Date is >45, manage 21 Days before expiration. Scalp: Expiration Strikes of 1/4 of the Squeeze period. Leap: Expiration Strikes of 1.75x of the Squeeze period.
📐 Futures Integrations
Playbook Entry:
Verify if the squeeze on the hourly is red or green, and enter on the 2- or 5-minute during a similar squeeze state.
Trend-Following: Traditional 2 Renko Block above 21 SMA and Momentum is bullish, or vice versa. (2~ES, 5~NQ)
Structure: Go long at/just below the ATR reference (or recent swing support). Exit below the breakout zone (prior high/mid-range +1 to +2 ATR).
Management: If momentum stays above +1 ATR ride toward +2 → +3 ATR, etc. House-money, should be kept.
Exits/Adjust: Momentum downcross or squeeze flips back on (new compression) → exit. On Renko Charts, lower the sensitivity to 0.7~1. If price retests 0/−1/−2 ATR and holds, you can enter when the 9 SMA flips. The 50 SMA is better for Daily and up; I wouldn't trade against it then.
📌 FOMO Trading Playbook
Credits & License
Credits: @JF10R (Multi-Timeframe Squeeze), @BigBeluga (DSL), @OskarGallard (Colored DMI base), @ChrisMoody (WVF ideas), @PineCodersTASC (VTTI/VPCI), @EliCobra (Divergence toolkit).
License: Mozilla Public License 2.0 (MPL-2.0).
Author: © GabrielAmadeusLau
Dynamic Breakout Odds [RayAlgo]█ OVERVIEW
Dynamic Breakout Odds is a probability-based breakout tool that uses ATR and pattern matching to estimate how likely price is to expand up or down from the current candle.
Instead of guessing, the indicator scans historical candles that look like the current one and measures how often price broke above or below by a volatility-based amount.
It then projects those probabilities forward as clean levels and a bias dashboard on your chart.
Use it to quickly answer:
• “Is the next move statistically more likely up or down?”
• “How far does price typically travel from here, in ATR terms?”
█ CONCEPTS
Candle Profile Matching
The script builds a “profile” of the current setup using two elements:
• The color of the previous candle (bullish close vs bearish close)
• The trend environment (above/below EMA, if the filter is enabled)
Only historical candles with the same profile are used for statistics. This keeps the probabilities specific to the current context instead of mixing all market conditions together.
ATR-Based Expansion
For every matching historical candle, the script checks how far price moved away from the open using ATR:
• Upward move thresholds
• Moderate expansion (≈ 0.5 ATR above the open)
• Stronger expansion (≈ 1.0 ATR above the open)
• Downward move thresholds
• Moderate expansion (≈ 0.5 ATR below the open)
• Stronger expansion (≈ 1.0 ATR below the open)
It counts how often each expansion happened, then converts those counts into probabilities.
Normalized Probability Scores
The indicator doesn’t just show raw percentages; it normalizes them so that all scenarios together form a consistent probability set.
Internally it tracks four outcomes for similar candles:
• Chance of a moderate move upward
• Chance of a strong move upward
• Chance of a moderate move downward
• Chance of a strong move downward
These are then normalized so the total is roughly 100%. From this, two main metrics are derived:
• Bullish Strength = combined normalized odds of upside moves
• Bearish Strength = combined normalized odds of downside moves
Whichever side has the higher score defines the current directional bias .
█ WHAT YOU SEE ON THE CHART
1. Breakout Projection Levels
Four horizontal levels are projected around the open of the current bar:
• Two upside levels
• Nearer upside expansion (~0.5 ATR above the open)
• Further upside expansion (~1.0 ATR above the open)
• Two downside levels
• Nearer downside expansion (~0.5 ATR below the open)
• Further downside expansion (~1.0 ATR below the open)
Each line extends a configurable number of bars into the future, so you visually see a breakout “corridor” above and below price.
2. Probability Labels
At the right edge of each line, you’ll see a label such as:
• “X% – near upside”
• “Y% – further downside”
These labels tell you how frequently similar candles in the chosen lookback reached that expansion. You immediately know which scenario has been more common historically.
3. Breakout Zones
Between the paired upside lines and the paired downside lines, shaded “probability zones” can be shown:
• The upper shaded band highlights the typical upside expansion range
• The lower shaded band highlights the typical downside expansion range
These zones visually group probable target areas instead of just single lines.
4. Background Tint
The background behind price is softly tinted towards:
• Bullish color when Bullish Strength > Bearish Strength
• Bearish color when Bearish Strength > Bullish Strength
The stronger the statistical imbalance between the two, the more pronounced the tint. This gives you an instant feel for whether conditions lean more Long, more Short, or are nearly Neutral.
5. Directional Bias Arrow
On the last bar the script can plot a clean arrow:
• Up-arrow below price when bullish odds dominate
• Down-arrow above price when bearish odds dominate
The arrow is positioned beyond all projection lines, making it easy to see even on cluttered charts and reminding you of the current statistical bias without text.
6. Origin Marker
A small horizontal mark is drawn at the open of the current candle.
This acts as the “starting point” from which all ATR-based expansions above and below are measured.
7. Dashboard Panel
A compact dashboard is drawn in a corner of the chart (location configurable). It displays:
• Bullish Strength – combined normalized probability for upside expansions
• Bearish Strength – combined normalized probability for downside expansions
• Bias – “Long Bias”, “Short Bias”, or “Neutral”
• Trend Filter – shows whether EMA-based filtering is ON or OFF and which length is used
This gives you a quick, text-based summary of the current statistical environment.
█ SETTINGS
Analysis Lookback Period
• Controls how many historical bars the script inspects when searching for similar candles.
• Larger values = more history, smoother statistics, slower adaptation.
• Smaller values = faster adaptation, but more noise and less stability.
ATR Length
• The period used to compute ATR volatility.
• Defines how “big” 0.5 ATR and 1.0 ATR moves are on your current symbol and timeframe.
Trend Filter (EMA)
• Filter by Trend?
• When ON, only historical candles in a similar trend regime are used.
• When OFF, all past candles with similar color are considered, regardless of trend.
• Trend EMA Length
• EMA period used to classify trend.
• Price above EMA → uptrend environment.
• Price below EMA → downtrend environment.
This filter helps you separate behavior in uptrends from downtrends, which can significantly change breakout dynamics.
Visual Settings
• Projection Width (bars)
• How far the lines and zones extend into the future.
• Show Probability Zones
• Toggle shaded bands between each pair of levels.
• Label Size
• Choose smaller or larger text for the probability labels on the right.
• Tint Background by Bias
• Turn the bias-based background on or off.
• Show Bias Marker on Last Candle
• Toggle the up/down arrow marker.
• Dashboard Location
• Select top/bottom left/right corner for the panel.
█ HOW TO USE IT
1. Start With the Dashboard
Look at Bullish Strength vs Bearish Strength:
• If bullish is clearly larger → environment statistically favors upside expansion.
• If bearish is clearly larger → environment statistically favors downside expansion.
• If they are close → treat the situation as Neutral; consider reducing position size or waiting for more clarity.
2. Use Levels as Dynamic Targets
The projected lines and zones can serve as:
• Profit targets based on typical expansion distance
• Logical regions for scaling out
• Areas where you expect price behavior to change (e.g., loss of momentum)
Short-term traders often focus on the nearer expansion levels, while swing traders may use the farther levels as extended targets.
3. Align With Trend (Optional)
With the trend filter ON:
• Prefer Long setups when price is above the EMA and bullish probabilities dominate.
• Prefer Short setups when price is below the EMA and bearish probabilities dominate.
With the filter OFF, you get pure color-plus-pattern statistics across the whole lookback, which can be useful if you deliberately trade counter-trend or range conditions.
4. Combine With Your Existing System
Dynamic Breakout Odds is best used as a confirmation and targeting layer :
• Combine it with structure (support/resistance, supply/demand, order blocks).
• Combine it with volume or orderflow tools if you use them.
• Use the probability zones to validate whether your planned target is realistic relative to recent volatility.
It is not designed to be a standalone “buy/sell” signal generator, but a statistical map around your entries.
█ PRACTICAL EXAMPLES
Example A – Bullish, Moderate Expansion Frequently Hit
• Bullish Strength significantly higher than Bearish Strength.
• The nearer upside level shows a strong historical hit rate.
Interpretation: similar setups often produce at least a moderate push upward before failing.
Use case: trade pullbacks in the direction of the bias, targeting the nearer upside projection as an initial take-profit.
Example B – Bearish, Deeper Downside Often Reached
• Bearish Strength clearly dominant.
• Both the nearer and farther downside levels show decent probabilities.
Interpretation: similar conditions historically saw follow-through to the downside.
Use case: use rallies against the direction of the bias to position into shorts, planning partial exits around the first downside projection and runners toward the second.
Example C – Neutral, Balanced Probabilities
• Bullish and Bearish Strength scores are close.
• Background tint is very light or absent.
Interpretation: the market is statistically indecisive; expansions up or down are similarly likely.
Use case: consider range trading tactics, mean-reversion ideas, or simply standing aside until a clearer skew develops.
█ BEST PRACTICES
• Use on liquid symbols and reasonable timeframes to avoid distorted ATR behavior.
• Don’t overfit lookback length to a single instrument; test across markets.
• Let the indicator provide context, not absolute certainty.
• Always combine with proper risk management (position sizing, max loss per trade, etc.).
• Be cautious with very small sample sizes (e.g., very short lookbacks on low-volume assets).
█ LIMITATIONS & NOTES
• All probabilities are based on historical behavior ; markets can change regime.
• ATR distances are relative to recent volatility and may shrink/expand over time.
• The script intentionally does not guarantee any direction or target; it only reports what has been most common in similar past situations.
█ DISCLAIMER
This tool is for educational and informational purposes only.
It does not constitute financial advice or a guarantee of performance.
Always do your own research, test on demo or historical data, and use appropriate risk management when trading live capital.
Kio IQ [TradingIQ]Introducing: “Kio IQ ”
Kio IQ is an all-in-one trading indicator that brings momentum, trend strength, multi-timeframe analysis, trend divergences, pullbacks, early trend shift signals, and trend exhaustion signals together in one clear view.
🔶 The Philosophy of Kio IQ
Markets move in trends—and capturing them reliably is the key to consistency in trading. Without a tool to see the bigger picture, it’s easy to mistake a pullback for a breakout, a fakeout for the real deal, or random market noise as a meaningful price move.
Kio IQ cuts through that random market noise—scanning multiple timeframes, analyzing short, medium, and long-term momentum, and telling you on the spot whether a move is strong, weak, a trap, or simply a small move within a larger trend.
With Kio IQ, price action reveals its next move.
You’ll instantly see:
Which way it’s pushing — up, down, or stuck in the middle.
How hard it’s pushing — from fading weakness to full-blown strength.
When the gears are shifting — early warnings, explosive moves, smart pullbacks, or signs it’s running out of steam.
🔶 Why This Matters
Markets move in phases—sometimes they’re powering in one direction, sometimes they’re slowing down, and sometimes they’re reversing.
Knowing which phase you’re in can help you:
Avoid chasing a move that’s about to run out of steam.
Jump on a move when it’s just getting started.
Spot pullbacks inside a bigger trend (good for entries).
See when different timeframes are all pointing the same way.
🔶 What Kio IQ Shows You
Simple color-coded phases: “Strong Up,” “Up,” “Weak Up,” “Weak Down,” “Down,” “Strong Down.”
Clear visual signals
Full Shift: Strong momentum in one direction.
Half Shift: Momentum is building but not full power yet.
Pullback Shift: A small move against the trend that may be ending.
Early Scout / Lookout: First hints of a possible shift.
Exhaustion: Momentum is very stretched and may slow down.
Divergences: When price moves one way but momentum moves the opposite way—often a warning of a change.
Multi-Timeframe Table: See the trend strength for multiple timeframes (5m, current, 30m, 4h, 1D, and optional 1W/1M) all in one place.
Trend Strength %: A single number that tells you how strong the trend is across all timeframes.
Optional meters: A “momentum bar” and “trend strength gauge” for quick checks.
🔶 How It Works Behind the Scenes
Kio IQ measures price movement in different “speeds”:
Slow view: Big picture trend.
Medium view: The main engine for detecting the current phase.
Fast view: Catches recent changes in momentum.
Super-fast view: Finds tiny pullbacks inside the bigger move.
It compares these views to decide whether the market is strong up, weak up, weak down, strong down, or in between. Then it blends data from multiple timeframes so you see the whole picture, not just the current chart.
🔶 What You’ll See on the Chart
🔷 Full Shift Oscillator (FSO)
The image above highlights the Full Shift Oscillator (FSO).
The FSO is the cornerstone of Kio IQ, delivering mid-term momentum analysis. Using a proprietary formula, it captures momentum on a smooth, balanced scale — responsive enough to avoid lag, yet stable enough to prevent excessive noise or false signals.
The Key Upside Level for the FSO is +20, while the Key Downside Level is -20.
The image above shows the FSO above +20 and below -20, and the corresponding price movement.
FSML above +20 confirms sustained upside momentum — the market is being driven by consistent, broad-based buying pressure, not just a price spike.
FSML below -20 confirms sustained downside momentum — sellers are firmly in control across the market.
We do not chase the first sudden price move. Entries are only considered when the market demonstrates persistence, not impulse.
🔷 Half Shift Oscillator (HSO)
The image above highlights the Half Shift Oscillator (HSO).
The HSO is the FSO’s wingman — faster, more reactive, and designed to catch the earliest signs of strength, weakness, or momentum shifts.
While HSO reacts first, it is not a standalone confirmation of a major momentum change or trade-worthy strength.
Using the same proprietary formula as the FSO but scaled down, the HSO delivers smooth, balanced short-term momentum analysis. It is more responsive than the FSO, serving as the scout that spots potential setups before the main signal confirms.
The Key Upside Level for the FSO is +4, while the Key Downside Level is -4.
🔷 PlayBook Strategy: Shift Sync
Shift Sync is a momentum alignment play that triggers when short-term and mid-term momentum lock into the same direction, signaling strong directional control.
🔹 UpShift Sync – Bullish Alignment
HSO > +4 – Short-term momentum is firmly bullish.
FSO > +20 – Mid-term momentum confirms the bullish bias.
When both thresholds are met, buyers are in control and price is primed for continuation higher.
🔹 DownShift Sync – Bearish Alignment
HSO < -4 – Short-term momentum is firmly bearish.
FSO < -20 – Mid-term momentum confirms the bearish bias.
When both thresholds are met, sellers dominate and price is primed for continuation lower.
Execution:
Look for an entry opportunity in the direction of the alignment when conditions are met.
Avoid choppy conditions where alignment is frequently lost.
Why It Works
Think of the market as a tug-of-war between traders on different timeframes. Short-term traders (captured by the HSO) are quick movers — scalpers, intraday players, and algos hunting immediate edge. Mid-term traders (captured by the FSO) are swing traders, funds, and institutions who move slower but carry more weight.
Most of the time, these groups pull in opposite directions, creating chop and fakeouts. But when they suddenly lean the same way, the rope gets yanked hard in one direction. That’s when momentum has the highest chance to drive price further with minimal resistance.
Shift Sync works because it isolates those rare moments when multiple market “tribes” agree on direction — and when they do, price doesn’t just move, it flies.
Best Market Conditions
Shift Sync works best when the higher timeframe trend (daily, weekly, or monthly) is moving in the same direction as the alignment. This higher timeframe confluence increases follow-through potential and reduces the likelihood of false moves.
The image above shows an example of an UpShift Sync signal where the momentum table shows that the 1D momentum is bullish.
The image above shows bonus confluence, where the 1M and 1W momentum are also bullish.
The image above shows an example of a DownShift Sync signal where the momentum table shows that the 1D momentum is bearish. Bonus confluence also exists, where the 1W and 1M chart are also bearish.
Common Mistakes
Chasing late signals – Avoid entering if the Shift Sync trigger has been active for a long time. Instead, wait for a Shift Sync Pullback to look for opportunities to join in the direction of the trend.
Ignoring higher timeframe bias – Taking Shift Sync setups against the daily, weekly, or monthly trend reduces follow-through potential and increases the risk of a failed move.
🔷 Micro Shift Oscillator (MSO)
The image above highlights the Micro Shift Oscillator (MSO)
The MSO is the finishing touch to the FSO and HSO — the fastest and most reactive of the three. It’s built to spot pullback opportunities when the FSO and HSO are aligned, helping traders join strong price moves at the right time.
The MSO may reveal the earliest signs of a momentum shift, but that’s not its primary role. Its purpose is to identify retracement and pullback opportunities within the overarching trend, allowing traders to join the move while momentum remains intact.
🔷 Playbook Strategy: Shift Sync Pullback
Key Levels:
MSO Upside Trigger: +3
MSO Downside Trigger: -3
🔹 UpShift Pullback
Momentum Confirmation:
FSO > +20 – Mid-term momentum is strongly bullish.
HSO > +4 – Short-term momentum confirms alignment with the FSO.
Pullback Trigger:
MSO ≤ -3 – Signals a short-term retracement within the ongoing bullish trend and marks the earliest re-entry opportunity.
Entry Zone:
The blue arrow on the top chart shows where momentum remains intact while price pulls back into a zone primed for a move higher.
Setup Validity: Both FSO and HSO must remain above their bullish thresholds during the pullback.
Invalid Example:
If either the FSO or HSO drop below their bullish thresholds, momentum alignment breaks. No trade is taken.
🔹 DownShift Pullback
Momentum Confirmation:
FSO < -20 – Mid-term momentum is strongly bearish.
HSO < -4 – Short-term momentum aligns with the FSO, confirming seller dominance.
Pullback Trigger:
MSO ≥ +3 – Indicates a short-term retracement against the bearish trend, pointing to possible short-entry opportunities.
Entry Zone:
The purple arrow on the top chart marks valid pullback conditions — all three oscillators meet their bearish thresholds, and price is positioned to continue lower.
Setup Validity: Both FSO and HSO must remain below their bearish thresholds during the pullback.
Invalid Example:
If either oscillator rises above the bearish threshold, momentum alignment is lost and the MSO signal is ignored.
Why It Works
Even in strong trends, price rarely moves in a straight line. Supply and demand dynamics naturally create retracements as traders take profits, bet on reversals, or hedge positions.
While many momentum traders fear these pullbacks, they’re often the fuel for the next leg of the move — offering a “second chance” to join the trend at a more favorable price.
The Shift Sync Pullback pinpoints moments when both short-term (HSO) and mid-term (FSO) momentum remain firmly aligned, even as price moves temporarily against the trend. This alignment suggests the retracement is a pause, not a reversal.
By entering during a controlled pullback, traders often secure better entries, tighter stops, and stronger follow-through potential when the trend resumes.
Best Market Conditions:
Works best when the higher timeframe (daily, weekly, or monthly) is trending in the same direction as the pullback setup.
Consistent momentum is ideal — avoid erratic, news-driven chop.
Following a recent breakout (Gate Breaker setup) when momentum is still fresh.
Common Mistakes
Ignoring threshold breaks – Entering when either HSO or FSO dips through their momentum threshold often leads to taking trades in weakening trends.
Trading against higher timeframe bias – A pullback against the daily or weekly trend is more likely to fail; use higher timeframe confluence as a filter.
🔷 Macro Shift Oscillator (MaSO)
The chart above shows the MaSO in isolation.
While the MaSO is not part of any active Kio IQ playbook strategies, it delivers the clearest view of the prevailing macro trend.
MaSO > 0 – Macro trend is bullish. Readings above +4 signal extreme bullish conditions.
MaSO < 0 – Macro trend is bearish. Readings below -4 signal extreme bearish conditions.
Use the MaSO for context, not entries — it frames the environment in which all other signals occur
🔷 Shift Gates – Kio IQ Momentum Barriers
The image above shows UpShift Gates.
UpShift Gates mark the highest price reached during periods when the FSO is above +20 — moments when mid-term momentum is firmly bullish and buyers are in control.
UpShift Gates are upside breakout levels — key swing highs formed before a pullback during periods of strong bullish momentum. When price reclaims an UpShift Gate with momentum confirmation, it signals a potential continuation of the uptrend.
The image above shows DownShift Gates.
DownShift Gates Mark The Lowest Price Reached During Periods When The FSO Is Below -20 — Moments When Mid-Term Momentum Is Firmly Bearish And Sellers Are In Control.
DownShift Gates are downside breakout levels — key swing lows formed before an upside pullback during periods of strong bearish momentum. When price reclaims a DownShift Gate with momentum confirmation, it signals a potential continuation of the downtrend.
🔷 Playbook Strategy: Gate Breakers
Core Rule:
Long signal when price decisively closes beyond an UpGate (for longs) or DownGate (for shorts). The breakout must show commitment — no wick-only tests.
🔹 UpGate Breaker (UpGate)
Trigger: Price closes above the UpShift Gate level.
Bonus Confluence: MaSO > 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakout.
Invalidation: Avoid taking the signal if the gate level forms part of a DownShift Rift (bearish divergence) — this signals underlying weakness despite the break.
The chart above shows valid UpGate Breakers.
The chart above shows an invalidated UpGate Breaker setup.
🔹 DownGate Breaker (DownGate)
Trigger: Price closes below the DownShift Gate level.
Bonus Confluence: MaSO < 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakdown.
Invalidation: Avoid taking the trade if the gate level forms part of an UpShift Rift (bullish divergence) — this signals underlying strength despite the break.
The chart above shows a valid DownGate Breaker.
Why It Works
Key swing levels like Shift Gates attract a high concentration of resting orders — stop losses from traders caught on the wrong side and breakout orders from momentum traders waiting for confirmation.
When price decisively clears a gate with a strong close, these orders trigger in quick succession, creating a burst of directional momentum.
Adding the MaSO filter ensures you’re breaking gates with the prevailing macro bias, improving the odds that the move will continue rather than stall.
The divergence-based invalidation rule (Rift filter) prevents entries when underlying momentum is moving in the opposite direction, helping avoid “fake breakouts” that trap traders.
Best Market Conditions:
Works best in markets with clear trend structure and visible Shift Gates (not during chop).
Strongest when higher timeframe (1D, 1W, 1M) momentum aligns with the breakout direction.
MaSO > 0 for bullish breakouts, MaSO < 0 for bearish breakouts
Most reliable after a period of consolidation near the gate, where pressure builds before the break.
Common Mistakes
Trading wick-only tests – A breakout without a decisive candle close beyond the gate often fails.
Ignoring MaSO bias – Taking a break in the opposite macro direction greatly reduces follow-through odds.
Skipping the Rift filter – Entering when the gate forms part of a divergence setup exposes you to higher reversal risk.
Chasing extended moves – If price is already far beyond the gate by the time you see it, risk/reward is poor; wait for the next setup or a retest.
🔷 Shift Rifts - Kio IQ Divergences
This chart shows an UpShift Rift — a bullish divergence where price action and momentum part ways, signaling a potential trend reversal or acceleration.
Setup:
Price Action: Price is marking lower lows, indicating short-term weakness.
FSO Reading: The Full Shift Oscillator (FSO) is marking higher lows over the same period, showing underlying momentum strengthening despite falling prices.
The rift between price and the FSO suggests selling pressure is losing force while buyers quietly regain control.
When confirmed by broader trend alignment in Kio IQ’s multi-timeframe momentum table, the UpShift Rift becomes a setup for a bullish move.
This chart shows a DownShift Rift — a bearish divergence where price action and momentum split, signaling a potential downside reversal.
Setup:
Price Action: Price is marking higher highs, suggesting continued strength on the surface.
FSO Reading: The Full Shift Oscillator (FSO) is marking lower highs over the same period, revealing weakening momentum beneath the price advance.
The rift between price and momentum signals that buying pressure is fading, even as price makes new highs. This disconnect often precedes a momentum shift in favor of sellers.
When aligned with multi-timeframe bearish signals in Kio IQ’s momentum table, the DownShift Rift becomes a strong setup for downside continuation or reversal.
🔷 Playbook Strategy: Rift Reversal
The Rift Reversal is a divergence-based reversal play that signals when momentum is fading and an trend reversal is likely. It’s designed to catch early turning points before the broader market catches on.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in reading divergence and trusting momentum shifts even when price action still appears weak. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpRift Reversal
Core Setup:
Price Action – Forms a lower low.
Momentum Rift – The FSO forms a higher low, signaling bullish divergence and weakening selling pressure.
Trigger:
A confirmed UpRift Reversal signal is printed when:
Bullish Divergence is detected — price makes a new low, but the oscillator fails to confirm.
Momentum begins turning up from the divergence low (marked on chart as ⇝)
The image above shows a valid UpRift Reversal play.
🔹 DownRift Reversal
Core Setup:
Price Action – Forms a higher high.
Momentum Rift – The FSO forms a lower high, signaling bearish divergence and weakening buying pressure.
Trigger
A confirmed DownRift Reversal signal is printed when:
Bearish Divergence is detected — price makes a new high, but the oscillator fails to confirm.
Momentum begins turning down from the divergence high (marked on chart as ⇝).
Why It Works
Shift Rifts work because momentum often fades before a price reverses.
Price is the final scoreboard — it reflects what has already happened. Momentum, on the other hand, is a leading indicator of pressure. When the FSO begins to move in the opposite direction of price, it signals that the dominant side in the market is losing steam, even if the scoreboard hasn’t flipped yet.
In an UpShift Rift, sellers keep pushing price lower, but each push has less force — buyers are quietly building pressure under the surface.
In a DownShift Rift, buyers keep marking new highs, but they’re spending more effort for less result — sellers are starting to take control.
These disconnects happen because large participants often scale into or out of positions gradually, creating momentum shifts before price reflects it. Shift Rifts capture those turning points early.
Best Market Conditions:
Best in markets that have been trending strongly but are starting to show signs of exhaustion.
Works well after a prolonged move into key support/resistance, where large players may take profits or reverse positions.
Higher win potential when the Rift aligns with higher timeframe momentum bias in Kio IQ’s multi-timeframe table.
Common Mistakes
Forcing Rifts in choppy markets – In sideways chop, small oscillations can look like divergences but lack conviction.
Ignoring multi-timeframe bias – Trading an UpShift Rift when higher timeframes are strongly bearish (or vice versa) reduces follow-through odds.
Entering too early – Divergences can extend before reversing; wait for momentum to confirm a turn (⇝) before making a trading decision.
Confusing normal pullbacks with Rifts – Not every dip in momentum is a divergence; the Rift requires a clear and opposing trend between price and FSO.
🔷 Shift Count – Momentum Stage Tracker
Purpose:
Shift Count measures how far a bullish or bearish push has progressed, from its first spark to potential exhaustion.
It tracks momentum in defined steps so traders can instantly gauge whether a move is just starting, picking up steam, fully extended, or at risk of reversing.
How It Works
Bullish Momentum:
Start (1–2) → New momentum emerging, early entry window.
Acceleration (3–4) → Momentum in full swing, best for holding or adding to a position.
Extreme Bullish Momentum / Final Stages (5) → Watch for signs of reversal or take partial profits.
Exhaust – Can only occur after 5 is reached, signaling that the rally may be losing steam.
Bearish Momentum:
Start (-1 to -2) → New selling pressure emerging.
Acceleration (-3 to -4) → Bear trend accelerating.
Extreme Bearish Momentum / Final Stages (-5) → Watch for reversal or scale out.
Exhaust – Can only occur after -5 is reached, signaling that the sell-off may be running out of force.
The chart above shows a full 5-UpShift count.
The chart above shows a full 5-DownShift count.
Why It’s Useful
Markets often move in momentum “steps” before reversing or taking a breather.
Shift Count makes these steps visible, helping traders:
Spot the early stages of a potential move.
Identify when a move is picking up steam.
Identify when a move is mature and vulnerable to reversal.
Combine with other Kio IQ strategies for better-timed entries and exits.
Why This Works
It’s visually obvious where you are in the momentum cycle without overthinking.
You can build rules like:
Only enter in Start phase when higher timeframe agrees.
Manage positions aggressively once in Acceleration phase.
Be ready to exit or fade in Exhaust phase.
Best Market Conditions
Trending markets where pullbacks are shallow.
Works best when combined with Shift Sync Pullback or Gate Breaker triggers to confirm timing.
Higher timeframe direction confluence.
Common Mistakes
Treating Exhaust as always a reversal — sometimes strong markets push past 5/-5 multiple times.
Ignoring higher timeframe bias — a “Start” on a 1-minute chart against a strong daily trend is much riskier.
🔷 Playbook Strategy: Exhaust Flip
Core idea: When Shift Count reaches 5 (or -5) and then prints Exhaust, momentum has likely climaxed, whether temporarily or leading to a full reversal. We take the first qualified signal against the prior move.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in trusting momentum shifts even when price action still appears strong. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpExhaust Flip (fade a bullish run)
Setup:
Shift Count hits 5, then an Exhaust print occurs.
Invalidation
The local high is broken to the upside.
The chart above explains the UpExhaust Flip strategy in greater detail.
🔹 DownExhaust Flip (fade a bearish run)
Setup:
Shift Count hits -5, then an Exhaust print occurs.
Invalidation
The local low is broken to the downside.
The chart above explains the DownExhaust Flip strategy in greater detail.
Bonus Confluence (optional, not required)
Rift assist: An UpShift Rift (for longs) or DownShift Rift (for shorts) near Exhaust strengthens the flip.
MaSO context: Neutral or opposite-leaning MaSO helps. Avoid flips straight against a strong MaSO bias unless you have a structure break.
Why It Works
Exhaust marks climax behavior: the prior side has pushed hard, then failed to extend after meeting significant pushback. Liquidity gets thin at the edges; aggressive profit-taking meets early contrarians. A small confirmation (micro structure break or HSO turn) is often enough to flip the tape for a snapback.
Best Market Conditions
After extended, one-sided runs (multiple Shift Count steps without meaningful pullbacks).
Near Shift Gates or obvious swing extremes where trapped orders cluster.
When higher-timeframe momentum is neutral or softening (you’re fading the last thrust of a decisive move, not a fresh trend).
Common Mistakes
Fading too early: Taking the trade at 5 without waiting for the Exhaust.
Fading freight trains: Fighting a fresh Shift Sync in the same direction right after Exhaust (often just a pause).
No structure reference: Entering without a clear micro swing to anchor risk.
🔷 MTF Shift Table
The MTF Shift Table table provides a compact, multi-timeframe view of market momentum shifts. Each cell represents the current shift count within a given timeframe, while the classification label indicates whether momentum is strong, weak, or normal.
The chart above further outlines the MTF Shift Table.
Why It Works
Markets rarely move in a perfectly linear fashion — momentum develops, stalls, and transitions at different speeds across different timeframes. This table allows you to:
See momentum alignment at a glance – If multiple higher and lower timeframes show a sustained shift count in the same direction, the move has greater structural support.
Spot divergences early – A shorter timeframe reversing against a longer-term sustained count can warn of potential pullbacks or trend exhaustion before price confirms.
Identify “momentum stacking” opportunities – When shift counts escalate across timeframes in sequence, it often signals a stronger and more durable move.
Avoid false enthusiasm – A single timeframe spike without agreement from other periods may be noise rather than genuine momentum.
The Trend Score provides a concise, at-a-glance evaluation of an asset’s directional strength across multiple timeframes. It distills complex momentum and Shift data into a single, easy-to-read metric, allowing traders to quickly determine whether the prevailing conditions favor bullish or bearish continuation. The Trend Scale scales from -100 to 100.
How to Use It in Practice
Trend Confirmation – Confirm that your intended trade direction is backed by multiple timeframes maintaining consistent momentum.
Risk Timing – Reduce position size or take partial profits when lower timeframes begin shifting against the dominant momentum classification.
Multi-timeframe Confluence – Combine with other system signals (e.g., FSO, HSO) for higher-probability entries.
This table effectively turns a complex multi-timeframe read into a single, glanceable heatmap of momentum structure, enabling quicker and more confident decision-making.
The MTF Shift Table is the confluence backbone of every playbook strategy for Kio IQ.
🔷 Momentum Meter
The Momentum Meter is a composite gauge built from three of Kio IQ’s core momentum engines:
HSO – Short-term momentum scout
FSO – Mid-term momentum backbone
MaSO – Macro trend context
By combining these three readings, the meter provides the most strict and lagging momentum classification in Kio IQ.
It only flips direction when a composite score of all three oscillators reach defined thresholds, filtering out short-lived counter-moves and false starts.
Why It Works
Many momentum tools flip too quickly — reacting to short-lived spikes that don’t represent real directional commitment. The Momentum Meter avoids this by requiring alignment across short, mid, and macro momentum engines before it shifts bias.
This triple-confirmation rule filters out noise, catching only those moments when traders of all speeds — scalpers, swing traders, and long-term participants — are leaning in the same direction. When that happens, price movement tends to be more sustained and less prone to immediate reversal.
In other words, the Momentum Meter doesn’t just tell you “momentum looks good” — it tells you momentum looks good to everyone who matters, across all horizons.
How It Works
Blue = All three engines align bullish.
Pink = All three engines align bearish.
The meter ignores smaller pullbacks or temporary oscillations that might flip the faster indicators — it waits for total alignment before changing state.
Because of this strict confirmation requirement, the Momentum Meter reacts slower but delivers higher-conviction shifts.
How to Interpret Readings
Blue (Bullish Alignment):
Sustained buying pressure across short, mid, and macro views. Often marks the “full confirmation” stage of a move.
Pink (Bearish Alignment):
Sustained selling pressure across all views. Confirms sellers are in control.
Practical Uses
Trend Followers – Use as a “stay-in” confirmation once a position is already open.
Swing Traders – Great for filtering out low-conviction setups; if the Momentum Meter disagrees with your intended direction, conditions aren’t fully aligned.
Confluence and Direction Filter – The Momentum Meter can be used as a form of confluence i.e. blue = longs only, pink = shorts only.
Limitations
Will always turn after the faster oscillators (HSO/MSO). This is intentional.
Works best in trending markets — in choppy conditions it may lag shifts significantly.
Should be used as a bias filter, not a standalone entry signal.
🔷 Trend Strength Meter
The Trend Strength Meter is a compact visual gauge that scores the current trend’s strength on a scale from -5 to +5:
+5 = Extremely strong bullish trend
0 = Neutral, no clear trend
-5 = Extremely strong bearish trend
This is an optional tool in Kio IQ — designed for quick reference rather than as a primary trading trigger.
Why it works
Single-indicator trend reads can be misleading — they might look strong on one metric while quietly weakening on another. The Trend Strength Meter solves this by blending multiple inputs (momentum alignment, structure persistence, and multi-timeframe data) into one composite score.
This matters because trend health isn’t just about direction — it’s about persistence. A +5 or -5 score means the market is not only trending but holding that trend with structural support across multiple timeframes.
By tracking both direction and staying power, the Trend Strength Meter flags when a move is at risk of fading before price action fully confirms it — giving you a head start on adjusting your position or taking profits.
How It Works
The Trend Strength Meter evaluates multiple market inputs — including momentum alignment, price structure, and persistence — to assign a numeric value representing how firmly the current move is holding.
The scoring logic:
Positive values indicate bullish conditions.
Negative values indicate bearish conditions.
Higher magnitude (closer to ±5) = stronger conviction in that direction.
Values near zero suggest the market is in a transition or range.
How to Interpret Readings
+4 to +5 (Strong Up) – Trend is well-established, often with multi-timeframe agreement.
+1 to +3 (Up) – Bullish bias present, but not at maximum conviction.
0 (Neutral) – No dominant trend; could be consolidation or pre-shift phase.
-1 to -3 (Down) – Bearish bias present but moderate.
-4 to -5 (Strong Down) – Trend is firmly bearish, with consistent downside momentum.
Why It Works
A single timeframe or momentum reading can give a false sense of trend health.
The Trend Strength Meter aggregates multiple layers of market data into one simplified score, making it easy to see whether a move has the underlying support to continue — or whether it’s more likely to stall.
Because the score considers both direction and persistence, it can flag when a move is losing strength even before price structure fully shifts.
🔷 Kio IQ – Supplemental Playbook Strategies
These phases are part of the Kio IQ Playbook—situational tools that can help you anticipate potential momentum changes.
While they can be useful for planning and tactical adjustments, they are not primary trade triggers and should be treated as early, lower-conviction cues.
🔹 1. Scouting Phase (Light Early Cue)
Purpose: Provide the earliest possible hint that momentum may be shifting.
Upshift Trigger: FSO crosses above the 0 line.
Downshift Trigger: FSO crosses below the 0 line.
Why It Works
The 0 line in the Full Shift Oscillator (FSO) acts as a neutral momentum boundary.
When the FSO moves above 0, it suggests that medium-term momentum has shifted to bullish territory.
When it moves below 0, it suggests that medium-term momentum has shifted to bearish territory.
This crossover is often the first measurable sign of a momentum reversal or acceleration, well before slower indicators confirm it.
Think of it as "momentum poking its head above water"—you’re spotting the change before it becomes obvious on price alone.
Best Use
Works best when confirmed later by Lookout Phase or other primary Kio IQ signals.
Ideal for scouting in anticipation of potential opportunities.
Helpful when monitoring multiple assets and you want a quick filter for shifts worth watching.
Can act as a trade trigger when the MTF Shift Table shows confluence (i.e., UpShift Scouting Signal + Bullish MTF Table + High Trend Strength Score).
Common Mistakes
Acting on Scouting Phase signals against the MTF Shift Table as a stand-alone trade trigger. Without higher timeframe alignment or additional confirmation, many Scouting Phase crossovers can fade quickly or reverse, leading to premature entries.
Ignoring market context
A bullish Scouting Phase in a strong downtrend can easily fail.
Always check higher timeframe trend alignment.
Overreacting to noise: On lower timeframes, small fluctuations can create false scouting signals.
Best Practices
Filter with trend: Only act on Scouting Phases that align with the dominant higher timeframe trend.
Watch volatility: In low-volatility conditions, false scouting triggers are more likely.
🔹 2. Lookout Phase (Early Momentum Alert)
Purpose:
The Lookout Phase signals an early alert that momentum is potentially strengthening in a given direction. It’s more meaningful than the Scouting Phase, but still considered a preliminary cue.
Triggers:
Upshift: FSO crosses above the HSO.
Downshift: FSO crosses below the HSO.
Why It Works:
The Lookout Phase is designed to identify moments when mid-term momentum (FSO) overtakes short-term momentum (HSO). Since the FSO is smoother and reacts more gradually, its crossover of the faster-reacting HSO can indicate a shift from short-lived fluctuations to a more sustained directional move.
This makes it a valuable early read on momentum transitions—especially when supported by higher-timeframe context.
Best Practices:
Always check the MTF Shift Table for higher-timeframe alignment before acting on a Lookout Phase signal.
Look for confluence with the Momentum Meter
Treat Lookout Phase entries as probing positions—small, exploratory trades that can be scaled into if follow-through develops.
Common Mistakes:
Treating Lookout Phase signals as a definitive trade trigger without context
Entering solely on a Lookout Phase crossover, without considering the MTF Shift Table or broader market structure, can result in chasing short-lived momentum bursts that fail to follow through.
Ignoring prevailing higher-timeframe momentum
Trading a Lookout Phase signal that is counter to the dominant trend or higher-timeframe bias increases the risk of whipsaws and false moves.
🔶 Summary
Kio IQ is an all-in-one trading indicator that combines momentum, trend strength, multi-timeframe analysis, divergences, pullbacks, and exhaustion alerts into a clear, structured view. It helps traders cut through market noise by showing whether a move is strong, weak, a trap, or simply part of a larger trend. With tools like the Full Shift Oscillator, Multi-Timeframe Shift Table, Shift Gates, and Rift Divergences, Kio IQ simplifies complex market behavior into easy-to-read signals. It’s designed to help traders spot early shifts, align with momentum, and recognize when trends are building or losing steam—all in one place.
Paid script
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL)
1. Introduction & Concept
The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states:
- Trend direction and strength (from a grid of prime‑period EMAs).
- Volume regime (expansion, contraction, climax, dry‑up).
- Order‑flow bias via delta (buy versus sell volume).
- A combined scenario label that summarises how these three layers interact.
The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator.
2. Volume Settings
Group: “Volume Settings”
A. Calculation Method
- Geometry (Source File) – Default mode.
Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data.
- Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data.
B. Intrabar Resolution (If Precise)
- Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform.
When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format:
- Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data.
In Geometry mode this counter simply reflects the processed bars in the current session.
3. Kinetic Vector Settings
Group: “Kinetic Vector”
A. Vector Window
- Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length.
- Shorter windows make the state engine more reactive and sensitive to local swings.
- Longer windows make the states more stable and better suited to higher‑timeframe structure.
B. Max Prime Period
- Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles.
- A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure.
- A lower limit focuses the analysis on short- and medium‑term behaviour.
C. Price Source
- Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic.
4. State Engine Settings
Group: “State Engine Settings”
These inputs define how the continuous vectors are translated into discrete states.
A. Trend Thresholds
- Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”.
- Weak Trend Threshold – Inner boundary between neutral and directional conditions.
Roughly:
- |trend| < weak → Neutral trend state.
- weak < |trend| ≤ strong → Bullish/Bearish.
- |trend| > strong → Extreme Bullish/Extreme Bearish.
B. Volume Thresholds
- Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation).
- Volume Expansion Threshold – Boundary for normal expansion versus contraction.
Conceptually:
- Volume above “expansion” indicates increasing activity.
- Volume near or above “climax” marks extreme participation.
- Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states.
C. Delta Thresholds
- Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta.
- Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow.
Combined with the sign of the delta vector, these thresholds classify order flow as:
- Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell.
D. State Hysteresis Bars
- State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour.
- Smaller values switch states quickly; larger values demand more confirmation.
5. Visual Interface
Group: “Visual Interface”
A. Ribbon Base Color
- Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons.
B. Show Dashboard
- Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart.
C. Color Theme
- Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme.
D. Table Position
- Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right).
E. Table Size
- Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming.
F. Show Extended Info
- Show Extended Info – Adds diagnostic rows under the main state summary:
- Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window.
- Values – Displays the current aggregated vectors:
- P: price vector
- V: volume vector
- B: buy‑volume vector
- S: sell‑volume vector
- D: delta vector
Values are bounded between ‑1 and +1.
- Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers.
- Footer – A final row with the symbol and current time: #SYMBOL | HH:MM.
These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes.
6. Language Settings
Group: “Language Settings”
- Select Language – Switches the entire dashboard between English and Turkish.
The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated.
7. Dashboard Structure & Reading Guide
The table summarises the current situation in a few rows:
1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”).
2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.).
3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish).
4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal.
5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar.
6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above.
Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions.
8. State Taxonomy
The state engine organizes market behaviour in three stages.
8.1 Trend States (from the Price Vector)
- Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside.
- Bullish Trend – Upward bias is present, but less extreme.
- Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid.
- Bearish Trend – Downward bias, with the EMA grid sloping down.
- Extreme Bearish Trend – Strong downside alignment across the grid.
8.2 Volume Regime States (from the Volume Vector)
- Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction.
- Volume Expansion – Activity above normal but below the climax threshold.
- Neutral Volume – No major expansion or contraction versus recent history.
- Volume Contraction – Activity is drying up compared with the past.
- Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage.
8.3 Delta Behaviour States (from the Delta Vector)
- Extreme Buy Delta – Buying pressure dominates strongly.
- Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme.
- Neutral Delta – Buy and sell flows are roughly balanced.
- Sell‑Dominant Delta – Selling pressure dominates.
- Extreme Sell Delta – Aggressive, one‑sided selling.
8.4 Combined Scenario State s
EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals.
Trending Scenarios
1. Trending Buy Confirmed
- Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta.
- Educational idea: a healthy uptrend where both participation and order flow agree with the direction.
2. Trending Buy – Weak Volume
- Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side.
- Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile.
3. Trending Sell Confirmed
- Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta.
- Educational idea: strong downtrend with both volume and order‑flow confirmation.
4. Trending Sell – Weak Volume
- Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side.
- Educational idea: downside continues but with limited participation; vulnerable to short‑covering.
Sideways / Range Scenarios
5. Sideways Balanced
- Neutral trend, neutral delta, neutral volume.
- Classic range environment; low directional edge, suitable for observation and context rather than trend trading.
6. Sideways with Buy Pressure
- Neutral trend, but buy‑side delta is dominant or extreme.
- Range with latent accumulation: price may still appear sideways, but buyers are quietly more active.
7. Sideways with Sell Pressure
- Neutral trend with dominant or extreme sell‑side delta.
- Distribution‑like environment where price chops while sellers are gradually more aggressive.
Exhaustion & Volume Extremes
8. Exhaustion – Buy Risk
- Extreme bullish trend, volume climax and strong buy‑side delta.
- Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off.
9. Exhaustion – Sell Risk
- Extreme bearish trend, volume dry‑up and strong sell‑side delta.
- Suggests one‑sided selling into increasingly thin liquidity.
10. Volume Climax (Buy)
- Neutral trend, neutral delta, but volume at climax levels.
- Often associated with a “big event” bar where participation spikes without a clear directional commitment.
11. Volume Climax (Sell / Dry‑Up)
- Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up.
- Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses.
Divergences
12. Divergence – Bullish Context
- Bullish or extreme bullish trend, but delta has faded back to neutral.
- Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections.
13. Divergence – Bearish Context
- Bearish or extreme bearish trend with a neutral delta.
- Downtrend persists, but selling pressure no longer dominates as clearly.
Consolidation & Compression
14. Consolidation
- Default state when no specific pattern dominates and the market is broadly balanced.
- Educational use: treat this as a “no strong edge” label; focus on structure rather than direction.
15. Breakout Imminent
- Neutral trend with contracting volume.
- Compression phase where energy is building up; often precedes transitions into trending or shock scenarios.
Traps & Hidden Divergences
16. Bull Trap
- Bullish trend, with neutral or contracting volume and sell‑side delta.
- Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies.
17. Bear Trap
- Bearish trend, neutral or contracting volume, but buy‑side delta.
- Downtrend “looks” intact, while buyers become more aggressive underneath the surface.
18. Hidden Bullish Divergence
- Bullish trend, contracting volume, but strong buy‑side delta.
- Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend.
19. Hidden Bearish Divergence
- Bearish trend, volume expansion and strong sell‑side delta.
- Reinforced downside pressure even if price is temporarily retracing.
Reversal & Transition Patterns
20. Reversal to Bearish
- Neutral trend, volume climax and strong sell‑side delta.
- Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside.
21. Reversal to Bullish
- Neutral trend, extreme volume dry‑up and strong buy‑side delta.
- Often associated with selling exhaustion where buyers start to take control.
22. Indecision Spike
- Neutral trend with extreme volume (climax or dry‑up) but neutral delta.
- Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction.
Extended Compression & Acceleration
23. Coiling Phase
- Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided.
- Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move.
24. Bullish Acceleration
- Bullish trend with volume expansion and strong buy‑side delta.
- Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move.
25. Bearish Acceleration
- Bearish trend with volume expansion and strong sell‑side delta.
- Mirror image of Bullish Acceleration on the downside.
Trend Exhaustion & Climax Reversal
26. Bull Exhaustion
- Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta.
- The move has already travelled far; participation fades while price is still elevated.
27. Bear Exhaustion
- Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta.
- Down‑move may be approaching a point where additional selling pressure has diminishing impact.
28. Blow‑Off Top
- Extreme bullish trend, volume climax and extreme buy delta all at once.
- Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction.
29. Selling Climax Reversal
- Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta.
- Marks a very aggressive capitulation phase that can precede major rebounds.
Advanced VSA / Anomaly Scenarios
30. Absorption
- Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell).
- Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained.
31. Distribution
- Scenario where volume remains elevated while directional conviction weakens and the trend slows.
- Represents potential “selling into strength” or “buying into weakness”, depending on the active side.
32. Liquidity Vacuum
- Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta.
- Highlights environments where even small orders can move price disproportionately.
33. Anomaly / Shock Event
- Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution.
- Intended as a warning label for unusual events rather than a specific tradeable pattern.
9. Educational Usage Notes
- EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time.
- A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes.
- Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes.
10. Disclaimer & Educational Purpose
This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system.
Please note:
1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals.
2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument.
3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool.
4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
Swing Trade TarayıcıSwing Trade Scanner (v6) User Guide
1. Purpose:
This TradingView indicator (written in Pine Script v6) is designed to help identify swing trading opportunities. It calculates an overall trend strength and direction score by combining multiple technical analyses for up to 20 financial assets (stocks, cryptocurrencies, forex, etc.) that you specify. It presents the results in a customizable table, allowing you to quickly scan the market.
2. Analyses Used and Their Roles:
By default, the indicator uses the following 4 main technical analyses:
EMA Crossover (Default: 9/21): Used to capture short-term trend direction and potential momentum shifts. When the fast EMA (9) crosses above the slow EMA (21), it's considered a bullish signal; when it crosses below, it's a bearish signal. It's often one of the main entry/exit triggers.
RSI (Relative Strength Index - Default: 14): Measures the speed of price movements to identify overbought (OB) and oversold (OS) conditions. Reversals from the OB zone can signal potential downturns, while reversals from the OS zone can signal potential upturns. It also provides insight into the strength of the momentum.
MACD (Moving Average Convergence Divergence - Default: 12, 26, 9): A trend-following momentum indicator. The relationship between the MACD line and the signal line (crossovers) and the state of the histogram (position relative to the zero line) are used to confirm momentum shifts and trend strength.
ADX/DI (Average Directional Index - Default: 14, 14): Measures the strength (ADX) and direction (+DI/-DI lines) of a trend. Its main role is to filter signals from other indicators. A trend is considered to exist if the ADX is above a certain threshold (e.g., 25). +DI above -DI indicates an uptrend, and the reverse indicates a downtrend.
3. Scoring System:
The indicator calculates an individual score for each analysis and then combines these scores using weights you define to create a final Trend Score:
Individual Scores: Each analysis (EMA, RSI, MACD, ADX/DI) generates a decimal score between -1.0 (Strong Negative/Bearish) and +1.0 (Strong Positive/Bullish) based on its own rules. For example, RSI might score +1.0 if oversold, -1.0 if overbought, and 0.0 if neutral. MACD and ADX/DI scores can also take intermediate values reflecting both direction and strength (e.g., ±1.0, ±0.6, ±0.3, 0.0).
Weighting: In the settings, you can assign a weight (between 0.0 and 1.0) to each analysis, determining how much it influences the final score. For instance, you might give EMA crossover a higher weight and use RSI with a lower weight.
Total Score: The individual scores of the active analyses are multiplied by their assigned weights and summed up. This total is then divided by the sum of the weights of the active analyses to obtain a final, normalized Trend Score between -1.0 and +1.0. This score represents the combined view of all analyses.
4. Trend Determination:
The calculated final Trend Score is classified into an overall TREND status based on threshold values you set in the settings:
S.UP (Strong Up): Score > Strong Up Threshold (Default: 0.70)
UP: Up Threshold < Score <= Strong Up Threshold (Default: 0.35 < Score <= 0.70)
NEUTRAL: Down Threshold <= Score <= Up Threshold (Default: -0.35 <= Score <= 0.35)
DOWN: Strong Down Threshold <= Score < Down Threshold (Default: -0.70 <= Score < -0.35)
S.DOWN (Strong Down): Score < Strong Down Threshold (Default: -0.70)
This classification allows you to see at a glance which assets have strong trend potential.
5. Table Structure and Meanings:
The indicator displays the results in a table with the following columns:
TICKER: The symbol of the analyzed asset (abbreviated).
TREND: The overall trend status determined by the total score (S.UP, UP, NEUTRAL, DOWN, S.DOWN). The background color of this column also reflects this overall trend (Dark Green, Green, Gray, Red, Dark Red).
SCORE: The calculated weighted total score (between -1.00 and +1.00, with two decimal places). The background color of this column also reflects the overall trend.
EMA: Shows the result of only the EMA 9/21 analysis.
▲: EMA(9) > EMA(21) (Green Background)
▼: EMA(9) < EMA(21) (Red Background)
N: Neutral (Gray Background)
-: Analysis disabled or no data (Pale Gray Background)
RSI: Shows the result of only the RSI analysis.
OS: Oversold (RSI < 30) (Green Background)
M+: Mid Positive (30 <= RSI < 45) (Light Green/Lime Background)
N: Neutral (45 <= RSI <= 55) (Gray Background)
M-: Mid Negative (55 < RSI <= 70) (Orange Background)
OB: Overbought (RSI > 70) (Red Background)
-: Analysis disabled or no data (Pale Gray Background)
MACD: Shows the result of only the MACD analysis.
S+: Strong Positive (MACD > Signal AND Histogram > 0) (Green Background)
M+: Mid Positive (MACD > Signal BUT Histogram < 0) (Light Green/Lime Background)
N: Neutral (Other cases) (Gray Background)
M-: Mid Negative (MACD < Signal BUT Histogram > 0) (Orange Background)
S-: Strong Negative (MACD < Signal AND Histogram < 0) (Red Background)
-: Analysis disabled or no data (Pale Gray Background)
ADX/DI: Shows the result of only the ADX/DI analysis.
S+: Strong Uptrend (ADX > 40 AND +DI > -DI) (Green Background)
M+: Mid Uptrend (25 < ADX <= 40 AND +DI > -DI) (Light Green/Lime Background)
W: Weak Trend (ADX <= 25) (Gray Background)
M-: Mid Downtrend (25 < ADX <= 40 AND -DI > +DI) (Orange Background)
S-: Strong Downtrend (ADX > 40 AND -DI > +DI) (Red Background)
-: Analysis disabled or no data (Pale Gray Background)
6. Settings (Inputs):
You can customize the indicator's behavior using the following settings:
General Settings:
Analysis Timeframe: Select the timeframe for the scans (Leave blank to use the chart timeframe).
Auto Adjust Parameters and Weights: If checked, predefined parameters and weights based on the selected timeframe (1h, 4h, 1D, 1W) are used. If unchecked, or if an unsupported timeframe is selected, the manual settings below apply.
Strong/Normal Up/Down Thresholds: Adjust the score thresholds used to determine the TREND column.
Analysis Settings (Separate Group for Each Analysis):
Enable ... Analysis: Check to include the respective analysis in the score.
... Weight (Manual): If auto-adjust is off, set the weight of this analysis in the total score.
... Period/Level (Manual): If auto-adjust is off, adjust the parameters (period, level, etc.) of the respective indicator.
Symbols (1-10):
Checkbox: Check to include the respective symbol in the scan.
Text Box: Enter the symbol of the asset you want to analyze (e.g., "NASDAQ:AAPL", "BINANCE:BTCUSDT").
Table Settings:
Table Position: Choose where the table appears on the chart.
Cell Width: Adjust the width of the table cells.
Text Size: Select the general size of the text in the table (individual analysis columns are usually shown one size smaller).
7. How to Use:
Add the indicator to your TradingView chart.
Enter the indicator settings.
In the Symbols section, enter the symbols of the assets you want to analyze and check the boxes next to them.
In the General Settings section, select your desired Analysis Timeframe.
Decide whether the Auto Adjust Parameters and Weights option should be checked. If not, adjust the manual parameters and weights for each indicator in the Analysis Settings section according to your strategy.
Examine the table:
The TREND and SCORE columns give you a general overview. Focus on strong signals (S.UP, S.DOWN) or states that have just crossed thresholds (UP, DOWN).
The EMA, RSI, MACD, ADX/DI columns allow you to see in detail which analyses influenced the overall score. You can track confirming or conflicting signals here.
Combine these scan results with other rules of your swing trading strategy (support/resistance, patterns, risk management, etc.) to make trading decisions.
8. Important Notes:
This indicator does not constitute financial advice. It is merely a tool that combines technical analysis tools to help you scan the market.
The default parameters and weights in the indicator settings are for general use. For best results, it is strongly recommended that you optimize these settings by backtesting them on historical data according to your own strategy, the assets you trade, and market conditions.
No technical indicator or system generates 100% accurate signals. Always apply risk management principles and do not trade with money you cannot afford to lose.
I hope this guide helps you use the indicator effectively!
Structure_TradingHubThe smart money concept suggests that institutional traders have a greater understanding of the market and often have access to more information than retail traders. Therefore, by analyzing market structure, retail traders can align themselves with the actions of smart money and potentially profit from their moves.
This indicator considerably simplifies the process of identification of market structure for traders based on the TradingHUB-3 technical method. Therefore, it is quite different from the existing market structure or trend detection tools, even the other smart-money-based indicators.
How it works:
The indicator starts candlestick analysis from the given start point detecting followings items.
1) Identify valid pullbacks (minor Zigzag):
Uptrend: In the upward trend, each candle that hits a higher high (HH), acts as our checking candle, and if the next candle hits its low, a valid pullback is formed, and we marked the checking candle as the end of a minor leg. Note that we do not take inside bars into account. If the highest point of the leg hit, the lowest point is marked as the end of pullback leg. On the other hand, if the lowest point of the upward leg is hit, the pullback checking procedure is restarted as a downtrend. Note that the downward checking is restarted from the highest point (previous checking candle).
Downtrend: The pullback detection for downtrend follows the reverse procedure of uptrend.
2) Identify inducements (IDM)
The last pullback point (on the minor zigzag) considers as the inducement level. In the uptrend, if the price hit the IDM, the highest point on the major leg is accepted as a major higher high. Note, if the IDM point is equal to a major HL and hit by price, the highest point is accepted as a new HH and the previous HH and LL are deleted (i.e. the HH is transferred).
In the downtrend, it acts conversely.
3) Identify valid break of structures (BOS)
In the uptrend, if the price closed above the highest point between the previous accepted HH to the current candle, a BOS is accrued, and the lowest point in this time interval is accepted as a higher low (HL). In the downtrend, it acts contrariwise.
4) Identify valid change of characters (Choch)
In the uptrend, if the price closed below the lowest point between the previous accepted HL to the current candle, a Choch is accrued, and the major trend changes from uptrend to downtrend, and a new reverse IDM will be detected. In the downtrend, it acts inversely.
5) Identify major HH/HL/LL/LH points
By following the above steps, the major higher highs, higher lows, lower highs, and lower lows, as well as the major trend are detected. The major high and lows on the major trend can be displayed by zigzag style or bullet points with corresponding up/down color.
How to use it:
This indicator works in any chart timeframe, and it does not need much tunning for use. Although, two parameters can be modified:
1- Starting Point:
Mode 1: Go back a certain number of candles in the past to find the starting point.
Mode 2: Use the last major swing that is higher/lower point between X candles right and left.
2- Choch/BOS min ticks' confirmation: The user can set an extra pipettes value that price should close higher/lower than the major H/L for more confirmation.
A trader can use this indicator for trading through the following steps (Of course, the trader is not restricted in these steps and can act according to its trading strategy):
1- Recognize the trend direction by seeing the H/L or zigzag color.
2- Identify the unmitigated IDM, which is marked by "X". When the inducement hit, the level is marked by "IDM", and a major H/L is confirmed.
3- Identify an order block to trade on it. We recommend users to add "OrderBlock_TradingHub " indicator to identify valid order blocks easily according to this technical method.
4- Go to the lower timeframe to find a trigger.
Indicator Options:
1) Set the starting point based on a certain number of candles or a major swing.
2) Show/Hide Pullbacks zigzag
3) Show/Hide Inducements (IDM)
4) Show/Hide Change of Characters (CHoCHs)
5) Show/Hide Break of Structures (BOS)
6) Draw up/down Trend
7) Draw H/L Points (by major Zigzag or Bullets)
8) Set CHoCH/BOS min pipettes for confirmation
9) Change the color and style of elements on the chart
Volume Scope Pro - Order Flow Volume Analysis V1.01Volume Scope Pro — Order Flow Volume Analysis
Overview
Volume Scope Pro is a multi-faceted volume analysis indicator that separates volume into buy (up) and sell (down) components to reveal hidden order flow dynamics. It aggregates lower timeframe volume data to estimate buying vs. selling pressure on each bar, calculates the volume delta (buy volume minus sell volume) per bar, and highlights where price action diverges or converges with volume flow. The indicator provides visual output in the form of an on-chart table and chart markers, helping traders identify potential distribution (selling into strength) and absorption (buying into weakness) events, as well as support/resistance zones derived from volume extremes.
Volume Settings
• Global Volume Period – An integer (default 100) defining the shared lookback window (in bars) for all volume-based calculations. This period is used for identifying volume extrema and computing cumulative volume statistics. A larger period considers more history for averages and sums, while a smaller period focuses on recent bars.
• Use Custom Lower Timeframe – A boolean (default true) that lets you override the automatic choice of lower timeframe for volume breakdown. If enabled, the indicator will use the specific lower timeframe you provide (see next setting) to fetch intrabar volume data. If disabled, the script chooses a lower timeframe based on the chart’s resolution (for example, 1-second for second charts, 1-minute for other intraday charts, 5-minute for daily charts, etc.).
• Lower Timeframe – A timeframe input (default 15S, i.e. 15-second intervals) specifying the lower interval to request for up/down volume calculation. This is the resolution at which the script breaks each chart bar’s volume into buying vs. selling volume. Fifteen seconds is the default as it provides a fine-grained intrabar look on most charts. This setting only takes effect if Use Custom Lower Timeframe is true; otherwise, it is ignored in favor of the automatic timeframe resolution.
Table Display Settings
• A dropdown option that adjusts the text size used in the on-chart data table (Tiny, Small, Normal, Large, Huge; default: Tiny). The default Tiny setting is selected because many traders use the indicator on mobile devices where screen space is limited. If you are using a larger display such as a laptop, desktop, or tablet, you may increase the font size to your preference for improved readability.
• Table Font Color – A color picker for the table text (default is a shade of blue, #0068e6). All text in the table will be rendered in this color. You can change it to improve contrast against your chart background or personal preference.
• Time Offset (hours) – An integer offset in hours (default 3) applied to the current time display in the table. This shifts the real-time clock readout from UTC by the specified number of hours in the table’s header. For example, setting 0 uses UTC, while a value of 3 (default) shows local time for UTC+3. Negative values are allowed for time zones behind UTC. This does not affect any calculations – it only adjusts the displayed clock for user convenience.
Trend Line & Pivot Settings
• Pivot Left and Pivot Right – Integers (default 5 each) controlling the sensitivity of pivot high/low detection. A pivot high is identified when the price high of a bar is greater than the highs of the Pivot Left bars to its left and Pivot Right bars to its right. Similarly, a pivot low is a bar whose low is lower than the lows of the surrounding bars on its left and right as defined by these values. Smaller values make the pivots more local and frequent, while larger values require more significant swings.
• Pivot Count – An integer (default 5) specifying the number of recent pivot points to track. The indicator will remember up to this many pivot highs and pivot lows each, and use them for drawing trend lines. When the count is exceeded, the oldest pivot points are dropped to focus on the most recent ones.
• Lookback Length – An integer (default 100) defining the number of bars over which trend lines are extended and within which pivot points are considered relevant. Essentially, this is the length of the window (in bars) in which the detected pivots and their connecting trend lines will be shown. Trend lines will start at the beginning of this lookback window and end at the latest bar, updating as new bars form.
• High Trend Line Color / Low Trend Line Color – Color inputs for the drawn trend lines connecting pivot highs and pivot lows, respectively (both default to orange #ff7b00). High trend lines typically slope downwards (connecting recent highs), and low trend lines slope upwards (connecting recent lows). You can change these colors to visually distinguish the two or to fit your chart theme.
• Trend Line Thickness – An integer (default 2) setting the stroke width of the pivot trend lines. Higher values make the lines thicker and more prominent.
• Trend Line Style – A string option (default dashed, options: solid, dashed, dotted) determining the line style for both high and low trend lines. For example, choosing “dotted” will draw the trend lines as a series of dots. This purely affects the appearance and has no impact on calculations.
Support/Resistance (S/R) Zone Settings
• SR Lookback Length – An integer (default 100) that defines how many completed bars are scanned for support/resistance zone detection based on volume extrema. The indicator examines this many bars behind the latest bar (the current bar is excluded to avoid repaint issues) to find extreme buying and selling volume points that form the zones. A larger value means a longer historical window for finding significant volume-based zones.
• Projection Bars – An integer (default 26, range 0–200) specifying how far into the future to extend the S/R zone lines. When set above 0, the horizontal lines marking the zones will project to the right of the latest bar by the given number of bars. This helps anticipate where the zones lie ahead of current price. A value of 0 confines the zone markings to past bars only.
• Resistance Zone Color / Support Zone Color – Color inputs for the drawn zones identified as resistance and support (defaults are red for resistance and teal for support). These colors apply to both the zone’s border lines and its background fill (with adjustable transparency, see below).
• Resistance Line Width / Support Line Width – Integers (default 2 each, range 1–5) setting the line thickness for the top and bottom boundaries of the resistance zone and support zone, respectively. For example, if Resistance Line Width is 3, the drawn lines at the top and bottom of the resistance zone will be thicker than the default.
• Resistance Fill Transparency / Support Fill Transparency – Integers in percentage (default 90 each, range 0–100) controlling the opacity of the colored shading that fills the zone area. 0% means fully opaque (solid color fill), and 100% means fully transparent (no fill color). The default of 90% is very transparent, just lightly coloring the zone area for subtlety. Adjust these to highlight the zones more prominently or to make them nearly invisible, depending on preference.
Overbought/Oversold (OB/OS) Voting Settings
• Enable OB/OS Voting – A boolean (default true) that turns on the overbought/oversold “voting” module. When enabled, the indicator evaluates standard technical indicators (RSI, Stochastic, CCI, etc.) to determine if the market is overbought (OB) or oversold (OS). Each indicator contributes an OB or OS “vote” based on its classic threshold (for example, RSI > 70 is an OB vote, RSI < 30 is OS). The module aggregates these votes to identify consensus extreme conditions.
• Enable Volume Confirmation Filter – A boolean (default true) that requires volume confirmation for OB/OS signals. If enabled, an overbought condition will only be confirmed if there is unusually high sell volume at the same time, and an oversold condition will only confirm with unusually high buy volume. In practice, this means even if indicators vote OB/OS, the script will only mark it as confirmed when volume is spiking in the opposite direction of price (signaling distribution for OB or absorption for OS). This filter helps ensure that OB/OS signals align with significant volume imbalance, indicating potential involvement of larger market participants.
• Enable Dynamic ATR Threshold – A boolean (default true) that adjusts the overbought/oversold trigger threshold dynamically based on volatility (ATR). When true, the voting threshold or confirmation conditions may be eased or tightened depending on recent volatility, as measured by the Average True Range. In higher volatility environments, this can prevent premature OB/OS signals by requiring more extreme indicator readings.
• Enable OB/OS Sync Window – A boolean (default true) that allows an OB or OS condition to remain valid for a short window of bars. If enabled, once an OB or OS state is triggered, it can persist for a user-defined number of bars (see Bars for Hit Sync Window) even if not all indicators remain in agreement every single bar. This helps to capture a cluster of OB/OS signals as one event rather than flickering on and off.
• Volume Average Period – An integer (default 3) specifying how many recent bars of volume to average when determining “unusually high” volume for confirmation. The script calculates the average buy volume and sell volume over this many bars; then the Volume Spike Ratio inputs (below) are applied to decide if current volume is significantly above average. For example, with a period of 3, the buy/sell volume of the last 3 bars are averaged to use as a baseline.
• Minimum Vote Count for OB/OS – An integer (default 3) setting the minimum number of indicators that must agree on overbought or oversold to consider it a valid signal. If fewer than this number signal OB (or OS) at the same time, the condition is ignored. A higher threshold makes the OB/OS signal rarer but more robust (requiring broader agreement among indicators).
• Bars for Hit Sync Window – An integer (default 1) controlling the size of the synchronization window (mentioned above) in bars. If an OB/OS condition is identified, it remains “active” for this many subsequent bars, allowing slightly delayed volume confirmation or indicator agreement to still count as part of the same event. For example, with a value of 2, if an OB signal occurs on one bar and the volume spike confirmation happens on the next bar, the module will treat it as a continuous event and still flag it.
• ATR Adjustment Factor – A float (default 14, step 1.0) used when Dynamic ATR Threshold is enabled. This factor influences how much ATR-based volatility adjustment is applied to the OB/OS vote threshold or confirmation criteria. A larger number might increase tolerance in volatile conditions. (Note: 14 here likely corresponds to an ATR period internally, not a direct multiplier of ATR value. It effectively adjusts sensitivity but does not need frequent change.)
• Overbought: Sell Volume Spike Ratio – A float (default 1.5) that sets the multiple of average sell volume required to confirm an Overbought condition. If the current sell volume is at least this factor times the recent average sell volume (over the Volume Average Period), and indicators are signaling OB, then an Overbought state is confirmed. For instance, the default 1.5 means sell volume must be 150% or more of its average to validate an OB signal. This ensures that an overbought label is only shown when there’s evidence of heavy selling (distribution) accompanying the price being overbought.
• Oversold: Buy Volume Spike Ratio – A float (default 2.0) setting the multiple of average buy volume required to confirm an Oversold condition. With the default 2.0, the current buy volume needs to be at least 200% of its recent average for an OS signal to confirm. This indicates strong buying interest (absorption) when price is in an oversold state. Typically, oversold conditions with significant buy volume could precede upward reversals.
• Source – A price source input (default close) for OB/OS calculations. This is the series value passed into the 20 indicator calculations (RSI, Stoch, etc.). By default it uses closing price, but advanced users can change it (for example, to an HLC3 or other composite) if desired. Generally, leaving it as close is standard.
Indicator Calculations and Logic
Volume Data Aggregation and Delta Calculation
At the core of Volume Scope Pro is the separation of total volume into up-volume (buying) and down-volume (selling) on each bar. This is achieved by requesting lower timeframe data using TradingView’s built-in requestUpAndDownVolume() function. Specifically, for each chart bar, the script gathers volume from a lower timeframe interval (e.g., 15-second bars) that fits within the higher timeframe bar. It sums the volume of all lower-TF sub-bars where price moved up (buy volume) vs. down (sell volume), providing an estimate of how much of the volume was transacted at the ask (buys) versus at the bid (sells). The resulting values are stored as upVolume and downVolume for the current bar, and the volume delta is computed as deltaVolume = upVolume – downVolume. By default, the script ensures upVolume and downVolume are treated as absolute magnitudes, while deltaVolume can be positive or negative indicating net buy or sell dominance.
If Use Custom Lower Timeframe is disabled, the indicator automatically chooses an appropriate lower timeframe based on the chart’s resolution. This adaptive logic uses 1-second intervals for charts in seconds, 1-minute for intraday minutes, 5-minute for daily charts, and 60-minute for anything higher, ensuring that up/down volume can be computed across various chart periods. If even finer resolution is needed or the user prefers a specific timeframe (e.g., 15S), enabling the custom option allows that override.
Coverage:
Because not all historical bars will have lower timeframe data available (especially if looking far back or on certain assets/timeframes), the script tracks how many bars actually received a valid up/down volume calculation. Each bar with non-na deltaVolume is counted toward a coverage total . This coverage count is displayed in the table (as “Coverage: X Bars”) to inform the user how many bars in the dataset had full volume breakdown data. It also serves a technical purpose: certain moving averages or calculations are “gated” to only output values when enough data points exist. For example, a 20-bar average of buy volume will not be shown until at least 20 bars with volume data are present; until then it returns NA to avoid misleading results. This gating mechanism is implemented via helper functions that check coverage before computing moving averages or sums. In practice, if you apply the indicator to a fresh chart or after changing the lower timeframe setting, you may see “NA” placeholders for some values until sufficient bars accumulate.
Volume Averages and Recent Change Indicators
For both buy and sell volume, the script computes short-term and medium-term averages to contextualize the current bar’s activity. Specifically, it calculates a 3-bar simple moving average and a 20-bar simple moving average of upVolume and downVolume (these lengths are fixed and chosen to represent a fast vs. slow window). These averages are shown in the table to compare against the current volume:
• The “Buy Current Amount” is the current bar’s buy volume, shown in an engineered format (e.g., 1.25K for 1,250) for readability. Directly below it (in the same cell via a newline) is “Avg : (3 | 20)”, which lists the 3-bar average buy volume and 20-bar average buy volume. Each average value is followed by an arrow marker:
an upward arrow 🔼 means the current buy volume is higher than that average, whereas a downward arrow 🔻 means the current buy volume is lower than that average. These markers give a quick visual cue – for instance, a 🔼 next to the (3) average indicates a volume spike in the very short term (current bar’s buy volume exceeds the recent 3-bar norm). If not enough data exists to compute an average, “NA” is displayed with the window in parentheses (e.g., “NA (20)” if fewer than 20 bars of coverage). The same format is used for Sell volume, where “Sell Current Amount” is the current bar’s sell volume with its own 3-bar and 20-bar averages and markers.
In addition to the short/medium term averages, the script also computes a “global” average buy volume and sell volume over the full Global Volume Period (using a slightly different approach). It first finds the proportion of buy vs sell over that window (summing all upVolume and downVolume over L = Global Volume Period bars) and then multiplies that ratio by the average total volume on the chart timeframe. This yields an implied average buy volume and sell volume for the global window (taking into account that the chart’s own volume may differ from summed LTF volume due to how the LTF data is sampled). These global averages are used internally (for example, in the OB/OS volume filter logic) but are not explicitly printed in the table. Instead, the table provides a more direct insight: the Positive Δ Sum and Negative Δ Sum (explained later) show accumulated buying vs selling pressure over the lookback period.
Price and Volume Trend Convergence/Divergence
Volume Scope Pro analyzes the short-term and medium-term trends of price and volume to identify convergence or divergence between price movement and buy/sell activity. This is done by calculating the angle of linear regression (slope in degrees) for price and for volume over the same two windows (3 bars and 20 bars). In essence, it fits a line through the last 3 closes and measures its angle, and similarly fits lines through the last 3 buy-volume values, last 3 sell-volume values, and repeats for 20 bars. The angles for price vs. volume are then compared:
• For the buy side, the indicator computes the price angle (θ) over 3 bars and 20 bars, and the buy-volume angle over 3 and 20 bars. These are displayed in the table under a “Buy Volume Trend” row. For example, it might show: “Price θ: 12.5° (3) | 5.0° (20)” on one line and “BuyVol θ: 8.0° (3) | 2.0° (20)” on the next. Each angle is given in degrees (θ symbol) with one decimal precision. A positive angle means an uptrend (price or volume increasing), and a negative angle means a downtrend over that window.
• After listing the angles, a convergence/divergence label is shown for each window: either Convergent or Divergent for the 3-bar window and similarly for the 20-bar window. This indicates whether price and buy volume are moving in the same direction (convergent) or opposite directions (divergent). For instance, if price’s 3-bar trend is up (positive slope) but buy-volume’s 3-bar trend is down (negative slope), that would be Divergent (3), signaling a short-term anomaly (price rising on falling buy volume). Conversely, if both price and buy volume are rising together over 20 bars, that shows Convergent (20), indicating buy volume is supporting the uptrend. These convergence/divergence labels help identify potential early warning signs: divergence may precede a reversal or indicate that an observed price move lacks volume support.
The same analysis is done for the sell side. The table’s “Sell Volume Trend” row lists “Price θ: ... | ...” and “SellVol θ: ... | ...” for 3 and 20 bars , followed by labels showing whether price vs. sell volume trends are convergent or divergent over those periods. For example, if price is trending down (negative angle) while sell volume is also trending down, they are Convergent (both indicating selling pressure in line with price drop). If price is falling but sell volume trend is up, that’s Divergent – price decrease accompanied by increasing sell volume could indicate aggressive selling (potential capitulation or acceleration of downtrend). On the other hand, price falling with decreasing sell volume might suggest selling is drying up (potential for a bottom). These nuances can be gleaned from the convergence/divergence outputs.
All angle calculations use a normalized linear regression slope converted to degrees for easy interpretation. The use of a short (3) and longer (20) window provides a quick glance at immediate vs. recent trend alignment. In the table, the angles and convergence labels are organized in two lines for buy and two lines for sell to clearly separate the information.
Volume Delta and Cumulative Delta Sums
The Volume Delta (Δ) for the current bar is a key metric showing the net difference between buy and sell volume. In the table, it appears as a single-line entry like “Delta: 5.2K” (for example) in the volume delta row. The value is formatted with K/M/B suffix if large, and it is colored green if positive (indicating net buying pressure) or red if negative (net selling pressure), with a neutral color if essentially zero. This coloring provides instant visual feedback: a green Delta means buyers dominated that bar, whereas a red Delta means sellers dominated. The delta number itself helps gauge the magnitude of that dominance. For instance, “Delta: 1.5M” in green would signify a very large imbalance of buying volume on that bar. This row gives a per-bar order flow insight complementing the price action of the candle.
To assess the broader context, the indicator also computes cumulative delta sums over the Global Volume Period. It separately accumulates all positive delta values and all negative delta values within the lookback window (e.g., 100 bars). The results are shown in the table as two lines: Positive Δ Sum and Negative Δ Sum, each followed by a number. These represent the total volume imbalance accumulated in each direction over the window. For example, a Positive Δ Sum of 20K means that, summing all bars in the window where buy > sell volume, buyers were ahead by a total of 20,000 volume (volume units) in that period. Similarly, a Negative Δ Sum of 15K would mean sellers were ahead by 15,000 volume in other bars. These sums give a sense of who is in control over the recent horizon: if Positive Δ Sum greatly exceeds Negative Δ Sum, the market has seen net accumulation (buying) in the lookback; if the reverse, net distribution (selling). The values are shown in a neutral text color (since they are not inherently “good” or “bad”) and are formatted with K/M suffixes as needed. They can help confirm trends or identify subtle shifts – for instance, if price is flat but Positive Δ Sum is growing rapidly, it might indicate stealth accumulation even without price movement.
Support/Resistance Zone Detection from Volume Extremes
Volume Scope Pro identifies key support and resistance areas by analyzing how volume behaved in recent price movements. Zones are derived from points where buying or selling activity became unusually strong or unusually weak—areas that often act as reaction levels in future price action.
A high-activity region is highlighted as a Resistance Zone, showing where strong participation previously slowed upward movement.
A low-activity region forms a Support Zone, indicating price levels where the market tended to stabilize or absorb pressure.
These zones are displayed as horizontal regions projected forward on the chart, with customizable colors and styling. Their upper and lower boundaries are shown in the on-chart table, where the indicator also notes whether each zone currently acts as support or resistance based on price position.
🟥 Resistance Zone based on
Buy/Sell Amount: 1.2345 ~ 1.2500
This indicates a resistance zone between roughly 1.2345 and 1.2500 (the bottom and top of that zone). “Buy/Sell Amount” here refers to the fact that this zone was computed from extreme buy/sell volume events, and the values are the zone’s price range. Likewise, a support zone line would be prefixed with 🟩 and show its range. These zones give a unique volume-based perspective on support and resistance, complementing traditional price-based levels.
Pivot-Based Trend Lines
The indicator draws adaptive trendlines by tracking recent swing highs and swing lows. Whenever the market forms meaningful pivots, the tool connects these points to outline the active upward and downward trend structure. A line drawn through recent highs generally acts as a dynamic resistance guide, while a line drawn through lows often behaves as a rising support boundary.
As market structure evolves, the trendlines update automatically, keeping the analysis aligned with the most recent swings. The color, thickness, and style of these lines are fully customizable. At any moment, you may see one line tracking the upper structure and one line tracking the lower structure, helping identify potential breakout areas or trend-channel behavior without manual drawing.
Overbought/Oversold Voting and Volume Signals
Volume Scope Pro includes an Overbought/Oversold engine that evaluates market exhaustion by combining technical momentum signals with real volume behavior. Instead of relying on a single indicator, the system draws from a broad set of classical oscillators, creating a multi-layer confirmation approach.
The tool aggregates signals from a group of well-known indicators and identifies when several of them simultaneously reach extreme levels. When enough of these indicators align, the condition is considered overbought or oversold. To refine these readings, an optional volume filter checks whether buying or selling pressure is unusually strong at the same time.
• Overbought (OB) is highlighted only when technical exhaustion coincides with elevated sell volume.
• Oversold (OS) appears when oversold readings align with strong buy volume.
When confirmed, the indicator places clear visual markers on the chart:
• OB – potential topping conditions supported by heavy selling.
• OS – potential bottoming conditions supported by strong buying.
• Distribution (↑P ↑S) – price rising while selling pressure increases.
• Absorption (↓P ↑B) – price falling while buyers absorb the move.
• Combined signals (OB+DIST or OS+ABS) highlight the strongest forms of exhaustion.
These markings help traders quickly recognize areas where momentum is fading and volume behavior becomes important. While they do not predict exact turning points, they often appear during phases where the market prepares for a shift, consolidation, or slowing trend.
Usage Notes and Interpretation
Volume Scope Pro provides a detailed view into the internal dynamics of market volume, which can greatly aid analysis when used appropriately. Here are some important considerations and best practices:
• Data Availability (Coverage): The accuracy and utility of this indicator depend on the availability of lower timeframe data for the instrument. On very high timeframe charts (weekly/monthly) or illiquid symbols, the automatic lower timeframe (like 1 minute or 5 minutes) might not retrieve full historical intrabar data, resulting in limited coverage. This is indicated in the “Coverage: X Bars” readout. If coverage is low, many of the volume-based values (especially 20-bar averages or global sums) may show “NA” or be unrepresentative until more data accumulates. It’s often best to use this indicator on active symbols and reasonable timeframes (e.g., 1h, 4h, 1D with a few months of data or lower) to ensure plenty of sub-bar data is available. If needed, you can reduce the Global Volume Period to focus on a smaller window that has full coverage, or experiment with a different Lower Timeframe that might have more data available (for example, using 1min instead of 15s on very long histories).
• Interpreting Volume Delta and Trends: A key value to watch is the Delta (Δ) and how it changes. For instance, if price is making new highs but Δ is decreasing or negative, it indicates bearish divergence – fewer buyers are supporting the move, or sellers might be increasingly active (distribution). Conversely, price making new lows while Δ becomes less negative or turns positive is a bullish divergence, implying sellers are exhausting and buyers are stepping in (absorption). The convergence/divergence rows quantitatively highlight these situations. Use them as alerts to investigate further rather than automatic trade signals. For example, a divergent 20-bar trend (price up, buy volume down) doesn’t mean price will immediately reverse, but it does warrant caution as the rally may be on weak footing.
• Support/Resistance Zones: The volume-derived S/R zones offer levels that might not be obvious from price alone. They often pinpoint areas where the tug-of-war between buyers and sellers was most extreme (resistance zone) or where the market had a lull in volume (support zone). Treat these zones as you would conventional support/resistance: price may react when revisiting them. A common use is to watch how price behaves upon approaching a highlighted zone – for instance, if price rallies into a red resistance zone and you see volume delta start to flip negative, it could strengthen the case that the zone is indeed acting as resistance due to renewed selling. The zones update once a new volume extreme enters or exits the lookback window, so they are relatively static during most recent price action, shifting only when a significantly larger volume spike happens or the oldest bar in the window moves out. They are also non-repainting for completed bars (the algorithm excludes the current bar for zone calculation to avoid repaint issues). Keep in mind these zones are horizontal areas; they do not guarantee a reversal, but they mark where supply or demand was notably strong in the past, which is useful context.
• Trend Lines and Pivots: The automatic trend lines drawn from pivot highs and lows can help visualize short-term price channels or triangles. They update in real-time as new pivots form. Use them as guidance for potential breakout or breakdown levels – e.g., if price breaks above a descending high line, that could indicate a bullish breakout from the recent down trend. The pivot detection sensitivity (Pivot Left/Right) can be tuned: higher values will only draw lines across more significant swings, whereas lower values will catch minor swings too. Adjust according to the volatility of the asset (more volatile assets might need larger pivot settings to filter noise). The trend lines are an auxiliary feature in this volume tool, meant to save time drawing those lines manually for recent swings. They work best when recent pivots are clear; in choppy conditions with many equal highs/lows, you might see the lines adjust frequently.
• OB/OS Voting Signals: The overbought/oversold markers (OB, OS, distribution, absorption) are perhaps the most actionable signals from this script, but they should not be used in isolation. They effectively combine momentum and volume analysis. A prudent approach is to confirm these signals with price action or other analysis:
• An “OB” (Overbought) marker suggests a probable short opportunity or at least to be cautious with longs. When you see OB, check if it aligns with other factors: Is price at a known resistance or a volume zone? Is there a bearish candlestick pattern? Multiple OB signals in a cluster (with or without “DIST”) could indicate a topping process – you might wait for price to start rolling over before acting.
• An “OS” (Oversold) marker points to a potential long opportunity or caution with shorts. Look for confluence such as the price being at a support zone, a bullish divergence in delta, or a reversal candle. Sometimes one OS by itself might just lead to a small bounce in an ongoing downtrend, but a series of OS/ABS signals could mark a accumulation phase.
• Distribution (↑P↑S) and Absorption (↓P↑B) markers can appear even without full OB/OS votes. These warn of stealthy behavior: e.g., Distribution triangles showing up during a steady uptrend might precede larger profit-taking drops. Absorption triangles in a downtrend might precede a relief rally. They are early warnings – pay attention if they start to cluster or coincide with known S/R levels.
• The combined labels OB+DIST and OS+ABS are stronger alerts since they mean both the indicators and volume are screaming extreme. These are relatively rarer; when they appear, the likelihood of at least a short-term reversal is higher. Still, disciplined risk management is essential as markets can remain overbought/oversold longer than expected.
• No Guarantees & Context: It’s important to emphasize that none of these outputs guarantee a price will move in a certain direction. They highlight conditions that historically often precede moves. Volume Scope Pro should be used as an informational tool to augment your analysis. For example, you might use it to confirm a breakout (volume delta turning strongly positive on a price break) or to spot divergence (price making a new high but Δ Sum not increasing). Always consider the broader context: trend direction, higher timeframe signals, fundamental news, etc. A bullish signal in a strong downtrend may only yield a minor correction, and a bearish signal in a roaring uptrend might just be a pause.
• Avoiding Over-Optimization: The indicator comes with many inputs. It might be tempting to tweak them frequently, but it’s recommended to start with defaults and adjust only if you understand the effect. For instance, if you increase Minimum Vote Count for OB/OS, you’ll get fewer but more conservative signals – you might miss early warnings. Changing Volume Spike Ratios alters how sensitive the volume filter is – lower ratios give more signals (even on modest volume rises) but risk false alarms. Use these settings to tailor the indicator to the asset or timeframe (e.g., a very high-volume asset might justify a higher spike ratio). The defaults have been chosen to suit a wide range of scenarios reasonably well.
• Performance and Chart Load: Volume Scope Pro does heavy processing by requesting a lower timeframe and calculating many values. On some platforms, loading this indicator might be slightly slower or consume more memory. It’s invite-only and not open-source, which means the calculations happen behind the scenes. If you experience any slowness, you can try using a less granular lower timeframe (e.g., 1min instead of 15s) or reduce the Global Volume Period to lighten the load. Generally it runs efficiently, but be mindful if stacking it with many other complex indicators.
In summary, Volume Scope Pro provides a set of volume-centric insights: from basic buy/sell volume split and delta, to trend alignment, to volume-profile S/R levels, to multi-indicator OB/OS warnings with volume validation. It adheres strictly to providing factual, data-driven information with no predictive guarantees. Traders can utilize this tool to observe where large buyers or sellers might be operating (“smart money”), detect when volume behavior contradicts price (a sign of potential reversals), and identify hidden support and resistance zones. All these pieces of information, when combined with sound strategy and risk management, can improve decision-making. Always remember to use this indicator as one part of a comprehensive analysis.
VWAP Wave System ToolkitGENERAL OVERVIEW:
The VWAP Wave System Toolkit is an all-in-one trading indicator based on rules from Auction Market Theory. The indicator is built around Volume-Weighted Average Prices (VWAP), Initial Balance (IB) levels, session/composite volume profiles, low-volume zones, optional candle coloring, trade checklists, dashboard readings, and a watermark.
This indicator was developed by Flux Charts in collaboration with Chris Drysdale (Trader Drysdale), author of the best-selling book VWAP Wave System.
What’s the purpose of this indicator?
The VWAP Wave System Toolkit helps traders see where market value is forming, shifting, or being rejected across different timeframes. It’s built on the ideas of Auction Market Theory, which views the market as a continuous auction between buyers and sellers searching for fair value. The indicator combines VWAPs, Initial Balance levels, and volume profiles into one system that shows how price interacts with value throughout the day, week, and month. By combining short-term and higher-timeframe data, it helps traders understand when the market is balanced and when it’s starting to discover new price areas.
What’s the theory behind this indicator?
This indicator is built on Auction Market Theory, introduced by J. Peter Steidlmayer. The theory says that markets operate as continuous auctions, constantly seeking a fair price where buyers and sellers agree on value. When price stays within a narrow range and volume builds up, the market is balanced around a value area. When price moves away from that area, the market enters price discovery, searching for a new zone of balance. VWAPs represent an evolving measure of value, while Volume Profiles and Initial Balance visualize how the auction developed during each session. Low Volume Zones often show where the market moved too quickly to trade efficiently, making them potential areas of interest for future reactions. By combining these elements, the indicator provides a picture of how the market is auctioning and where value may shift next.
VWAP WAVE SYSTEM TOOLKIT FEATURES:
The VWAP Wave System Toolkit indicator includes 7 main features:
Initial Balance Levels
Multi-Timeframe VWAPs
Session Volume Profile
Composite Volume Profile
Low Volume Zones
Checklist
Watermark
Initial Balance Levels:
🔹What is the Initial Balance?
The Initial Balance (IB) is defined by the high and low prices that form within a specific time window. Typically, this time window is the first hour after the regular day trading session starts (09:30 - 10:30 AM EST).
The high and low formed during this window create the foundation for the day’s price structure. From these two points, the indicator automatically calculates several key reference levels that show how far price has extended beyond the initial range or where it may still be balanced. Understanding how these levels are derived and how to interpret them is essential to using the Initial Balance effectively.
🔹How Initial Balance Levels are calculated:
Once the IB window closes, the indicator plots a full set of reference levels derived from the IB range. These levels are:
IB High
IB Low
IB Midpoint
x2 High / x2 Low
x2 Midpoints (x1.5 High/Low)
x3 High / x3 Low
x3 Midpoints (x2.5 High/Low)
🔹IB High & IB Low
The IB High is the highest price reached during the IB session window, and the IB Low is the lowest price reached.
🔹IB Midpoint
The IB Midpoint is the average of the IB High and IB Low.
🔹x2 High & x2 Low
The x2 levels are calculated by projecting one full IB Range above and below the Initial Balance. The IB Range is the distance between the IB High and IB Low.
🔹x2 High Midpoint & x2 Low Midpoint
The x2 High Midpoint (x1.5 High) is the average of the IB High and x2 High. The x2 Low Midpoint (x1.5 Low) is the average of the IB Low and x2 Low.
🔹x3 High & x3 Low
The x3 High/Low levels are calculated by projecting two full IB Range above and below the Initial Balance.
🔹x3 High Midpoint & x3 Low Midpoint
The x3 High Midpoint (x2.5 High) is the average of the x2 High and x3 High. The x3 Low Midpoint (x2.5 Low) is the average of the x2 Low and x3 Low.
🔹Breaks & Retests:
For every Initial Balance level, the indicator automatically tracks when price retests or breaks through them.
A Break occurs when a candle closes above or below an IB level. When this happens, the indicator plots a small blue triangle.
A Retest occurs when price approaches and touches an IB Level, and then reverses in the opposite direction. When this happens, the indicator plots a small green or red triangle.
Green Triangle: Bullish Retest - Price comes down to a level, touches it, and continues up.
Red Triangle: Bearish Retest - Price comes up to a level, touches it, and continues down.
Both breaks and retests are plotted directly on the chart for every toggled IB level. Once detected, they remain fixed and are not repainted.
Other Settings:
🔹Shade IB Range
When enabled, this setting fills the area between the IB High and IB Low (IB Range). The fill helps visually separate the Initial Balance range from the rest of the session, making it easier to identify when price is trading inside or outside of the IB. The color and opacity can also be adjusted through the settings.
🔹Apply One Color
When this setting is enabled, all toggled IB levels use the same color instead of the user’s inputted colors.
🔹Levels Labels
When enabled, text labels that identify each IB level (for example, “IB High,” “x2 High,” or “x2.5 Low”) appear next to each level.
🔹Price Labels
When enabled, the indicator displays the real-time price value of each IB level directly on the chart. These labels update automatically as price changes or when the levels shift due to recalculation from a new session.
🔹Extend Levels Right
When enabled, all toggled IB Levels will be extended infinitely to the right of the chart.
🔹Align Text Right
This setting aligns all level and price labels to the right edge of the plotted line. When disabled, text labels will be aligned to the left edge of each level.
Multi-Timeframe VWAPs:
🔹Why does this indicator include VWAPs?
This indicator includes VWAPs because they show where the most trading activity has occurred within each timeframe, helping identify the market’s fair value area. According to Auction Market Theory, price moves between periods of balance and imbalance as buyers and sellers seek fair value. VWAPs represent those balance points where the majority of trading has taken place. By plotting the Intraday, Weekly, and Monthly VWAPs, the indicator shows how value shifts across different timeframes and whether the market is balanced or moving toward a new area of value.
🔹Intraday VWAP
The Intraday VWAP measures the average traded price for the current trading session and resets each day at market open. It shows where most of the session’s trading has taken place, acting as a real-time fair value line. When price trades near the Intraday VWAP, the market is considered balanced. When price moves far above or below it, the market is exploring new value areas.
🔹Candle Coloring:
The Intraday VWAP candle coloring highlights how far price is trading from the session’s average value using the first and second standard deviation bands as visual reference zones. This feature helps users see whether price is balanced around fair value or expanding into an overextended area.
When candle coloring is enabled, each candle’s color changes based on where it closes relative to the two standard deviation bands surrounding the Intraday VWAP. The first band represents one standard deviation (1.0 STD) and the second represents one and a half standard deviations (1.5 STD).
If a candle closes above the upper 1.5 standard deviation band, it is colored a brighter green, showing strong movement above fair value. Candles closing between the upper 1.0 and 1.5 standard deviation bands are a lighter green, showing moderate strength. If a candle closes below the lower 1.5 standard deviation band, it is colored a brighter red, showing strong movement below fair value. Candles closing between the lower 1.0 and 1.5 standard deviation bands are a lighter red, showing moderate weakness. Candles that close within the ±1.0 standard deviation range remain their normal color, showing that price is balanced near the session’s average.
Both the VWAP line and its bands can be customized in the Intraday VWAP settings. Users can adjust the VWAP line color, band colors, and fill transparency. The candle colors can also be modified. The band sizes (1.0 STD and 1.5 STD by default) can be changed through their input multipliers, allowing users to control the sensitivity of the zones.
Please Note: This candle coloring applies only to the Intraday VWAP
🔹Weekly VWAP
The Weekly VWAP measures the average traded price across the current trading week and resets at the start of each new week. It reflects the fair value area that has developed over multiple trading days, providing a broader view of market balance compared to the Intraday VWAP. When price stays close to the Weekly VWAP, it indicates that the week’s trading activity is balanced. When price consistently trades above or below it, the market is moving away from that balance and forming value in a new area.
Standard Deviation Bands:
The Weekly VWAP includes optional standard deviation bands. Users can toggle 1x and 1.5x STD bands. Users can also adjust the multipliers.
Customization:
All colors for the Weekly VWAP and its standard deviation bands can be changed in the indicator’s settings. Users can adjust the VWAP line color, band colors, and fill transparency.
🔹Monthly VWAP
The Monthly VWAP measures the average traded price for the current month and resets on the first trading day of each new month. It provides the broadest view of value within this indicator, showing where the majority of trading has occurred during the current month. When price remains near the Monthly VWAP, it reflects long-term balance.
Standard Deviation Bands:
The Monthly VWAP includes optional 1x and 1.5x standard deviation bands that can be enabled or disabled. In the settings, users can adjust the standard deviation multipliers.
Customization:
The Monthly VWAP line, band colors, and fill transparency can all be modified in the indicator’s settings.
🔹VWAP Dashboard
The VWAP Dashboard provides a quick real-time overview of how price is positioned relative to the Intraday, Weekly, and Monthly VWAPs. It is displayed directly on the chart and updates automatically with each new candle.
The dashboard is divided into five labeled sections:
Intraday
Weekly
Monthly
Weekly STD
Monthly STD
Intraday, Weekly, and Monthly Sections:
These three sections show whether price is currently trading Above or Below each VWAP.
If price is above a VWAP, that section displays “Bullish”
If price is below a VWAP, that section displays “Bearish”
Weekly STD and Monthly STD:
These sections display whether price is currently inside or outside the standard deviation bands of the Weekly and Monthly VWAPs.
When price is trading within the ±1.0 standard deviation zone, the dashboard output is “Balanced Market”
When price is above the upper standard deviation, price is extending up beyond the week’s or month’s fair value, and the dashboard output is “Bullish Price Discovery”
When price is below the lower standard deviation, price is extending down beyond the week’s or month’s fair value, and the dashboard output is “Bearish Price Discovery”
🔹What is a Balanced Market
A balanced market occurs when price is trading within the ±1.0 standard deviation range of a VWAP. This shows that buyers and sellers are in general agreement on value, and trading activity is taking place around the fair value area. In this state, price tends to rotate around the VWAP rather than trend strongly away from it. Balance reflects stability in the auction process, where neither side is dominant and value is being built at current prices.
🔹What is Bullish Price Discovery
Bullish Price Discovery occurs when price trades above the upper standard deviation of a VWAP. This indicates that buyers are accepting higher prices and that value may be shifting upward. In terms of Auction Market Theory, the market is moving away from balance as it searches for a new fair value area above the prior range.
🔹What is Bearish Price Discovery
Bearish Price Discovery occurs when price trades below the lower standard deviation of a VWAP. This shows that sellers are accepting lower prices and that value may be developing beneath the prior area of balance. The market is moving out of equilibrium as participants test lower prices to find new fair value.
Session Volume Profile:
🔹Why this feature is included:
The Session Volume Profile is included to show where trading activity occurred within each session. It visually represents the volume traded at each price, helping to identify where market participants considered value to be. This ties directly to Auction Market Theory, which views markets as auctions seeking balance between buyers and sellers. The profile highlights those balance areas and shows where volume thins out, helping distinguish between value areas and areas of rejection.
🔹How is the Session Volume Profile calculated and displayed:
At the start of each selected session window, the indicator creates a new volume profile and tracks every bar in that session. For each candle, it saves the high, low, open, close, volume, and time. When the HD (High Definition) setting is enabled, and your chart is between the 1-minute and 30-minute timeframes (recommended), the indicator requests lower-timeframe data and feeds the profile with 1-minute candlesticks for more detail. The running session high and low define the vertical bounds of the volume profile. That span is split into a fixed number of rows. Each row represents a price slice. For every bar and every price row, the indicator checks whether the bar’s high-low range touches that row. If it does, it adds part of the bar’s volume to that row. The allocation uses a step-to-bar-size ratio, so that narrow bars do not overload a tall row and tall bars contribute proportionally across all rows they cross. If the bar closes above its open, that row’s “up” volume bucket is incremented. If it closes below its open, the “down” bucket is incremented. After all bars are processed, the row with the highest total becomes the Point of Control (POC). Starting from that row, the indicator expands upward and downward, adding adjacent rows until the cumulative total reaches your Value Area percentage. The upper boundary is Value Area High (VAH), and the lower boundary is Value Area Low (VAL).
For rendering, each price row becomes a horizontal box drawn from the session start time to a length proportional to that row’s volume versus the session’s maximum row volume. If you choose “Up / Down” volume, the row is split into two adjoining boxes that show the up and down portions. If you choose “Total,” a single box is drawn to the total length. If you choose “Delta,” the length reflects the absolute difference between up and down. The POC is drawn as a line across the row midpoint. VAH and VAL are drawn at the exact prices of the top and bottom value rows. While a session is open the profile keeps updating as new bars form. When the session ends, the script fixes its start and end and stops changing that profile. To avoid any issues with drawing limits, the indicator only renders the two most recent session volume profiles.
Settings:
🔹Enabled
Turns the Session Volume Profile on or off. When disabled, no session profiles, lines, or volume boxes are displayed.
🔹HD
Stands for High Definition. When enabled, the indicator requests data from the 1-minute timeframe to build a smoother, more detailed volume profile. This produces finer row distribution and more accurate POC, VAH, and VAL positioning, especially on higher chart timeframes.
🔹POC Line
Toggles the visibility of the Point of Control line. The POC represents the price level with the highest traded volume in the session. It’s drawn horizontally across the chart at that price, and its color can be customized in settings.
🔹VAH
Controls the display of the Value Area High line. The VAH is the top boundary of the range that contains the specified percentage of total traded volume (default 70%). It marks where volume starts to thin out above fair value. Users can turn it on or off and customize its color.
🔹VAL
Controls the display of the Value Area Low line. The VAL is the lower boundary of the value area and marks where volume thins out below fair value. Its visibility and color can also be customized.
🔹Session
This setting allows users to define the start and end time of the trading session used to calculate the session volume profile. Only bars within this time window are included in the volume profile. When a session ends, the volume profile locks, and a new one begins automatically when the next session begins based on the user’s input.
🔹Volume
Controls how the histogram rows are displayed:
Up/Down: Splits each price row into two parts: one for bullish candles (Up volume) and one for bearish candles (Down volume). This helps visualize buying versus selling pressure at each price.
Total: Combines both Up and Down volume into a single-colored bar for each price level. Since direction isn’t separated, this view focuses purely on where trading activity was concentrated, regardless of which side was in control. A tall bar means strong participation and interest at that price.
Delta: Displays the difference between up and down volume (Up/Down) for each row, highlighting which side controlled that price area.
🔹Value Area Volume
The Value Area Volume setting defines how much of the total session volume is considered the “value area.” By default, it’s 70%, meaning the indicator finds the price range where 70% of all trading took place during that session. This area is where buyers and sellers agreed the most on price, also known as the fair value zone.
If you increase the percentage (for example, to 80%), the value area becomes wider and includes more of the session’s trading range. Lowering it (for example, to 60%) makes it narrower, focusing only on the prices with the heaviest activity.
🔹Row Size
The Row Size controls how detailed the volume profile looks. It decides how many price levels (rows) the profile is divided into. Smaller values make the profile smoother and easier to read but less precise. Larger values add more detail and show exactly where volume clustered, but they can make the profile look denser.
The maximum value is 450 rows, and the minimum value is 5 rows. Higher values (especially above 200) can make the volume profile appear more detailed but may also cause performance issues or partial rendering on TradingView charts due to the platform’s drawing object limits. For most users, values between 50–150 give a good balance between clarity and performance.
25 Rows vs. 200 Rows:
Composite Volume Profile:
The Composite Volume Profile shows how volume is distributed across a larger selected range instead of just one session. It helps traders see where the most trading activity has taken place over multiple days. This gives a picture of long-term balance areas and important price zones that have repeatedly attracted buyers and sellers.
The Composite Profile uses the same base logic and visual settings as the Session Volume Profile, including POC Line, VAH, VAL, Volume Type, Value Area Volume, Row Size, and Colors. Any customization applied to those settings also affects the Composite Profile, ensuring a consistent appearance across both features.
🔹Session Count Setting:
This setting controls how many past sessions are merged into one composite volume profile. For example, if the Session Count is set to 5, and each session represents one trading day, the profile combines data from the last 5 trading days. A “session” refers to the time window defined in the Session Volume Profile settings.
🔹How is the Composite Volume Profile used?
In Auction Market Theory, markets move through phases of balance and imbalance as traders agree on value before moving to explore new ones. The Composite Volume Profile shows where that long-term balance has formed. Large, wide areas on the profile indicate zones where multiple sessions agreed on value. Thin areas show prices that were quickly rejected, where less time and volume were traded. Combining short-term session profiles into a composite helps identify when the market is holding near established value or entering new price discovery, confirming transitions between balance and price discovery.
Low Volume Zones:
🔹What are Low Volume Zones?
Low Volume Zones (LVZs) are price areas where trading activity was minimal compared to surrounding levels. On a volume profile, they appear as thin “valleys” between two high-volume “peaks.” These valleys show where the market moved too quickly for significant two-way trade to occur. In Auction Market Theory, they represent inefficient areas, meaning the market didn’t find fair value, so price either skipped through or rejected those levels.
🔹How are Low Volume Zones found?
The indicator identifies Low Volume Zones (LVZs) directly from Session Volume Profiles (SVPs) by analyzing the shape of its volume distribution. Each SVP is built from a series of horizontal rows, where each row represents the total traded volume within a narrow price range. The longer the row, the higher the trading activity at that price.
The indicator first locates the two largest high-volume peaks on the profile. These peaks represent the strongest areas of market activity. Once these two main peaks are found, the indicator looks on both sides of each peak for the lowest-volume row in the surrounding area. Those small-volume dips define the boundaries of the Low Volume Zones.
Each high-volume peak can therefore generate two LVZs (one above and one below it), resulting in a maximum of four Low Volume Zones per volume profile. If two LVZs overlap or share the same price range, they are automatically merged into a single larger zone, which may reduce the total count to three or fewer.
🔹How are Low Volume Zones used?
Low Volume Zones (LVZs) mark areas where the market previously traded with little participation. In Auction Market Theory, these zones represent inefficient price areas where buyers and sellers failed to agree on value. When price returns to an LVZ, it may act as an area where price tends to react differently due to lower previous trading activity. If the market still sees that area as unfair, price will reject it and reverse quickly. If the market now accepts that price level, volume builds and price moves through it smoothly as the auction seeks new balance. Traders use LVZs to identify where price may react sharply or move quickly through thin areas. When price approaches a zone from above or below, it signals potential rejection or continuation.
🔹LVZ Breaks and Retests
The indicator automatically tracks how price interacts with every detected LVZ.
A Break occurs when price fully moves through the entire LVZ and closes past it. When this happens, the indicator plots a small blue triangle.
A Retest occurs when price touches an LVZ and reverses away, showing rejection. When price comes down to a level, taps it, and continues up, it’s considered a bullish retest, and a small green triangle is plotted. When price comes up to a level, taps it, and continues down, it’s considered a bearish retest, and a small red triangle is plotted.
🔹LVZ Settings
Enabled:
Toggles LVZ detection and visualization on or off.
Realtime:
Allows LVZs to form dynamically as the current session develops, updating live as volume builds or thins out. When disabled, zones only appear once the session closes.
Please note: When this setting is enabled, zones may update or shift while the current session is still forming. Because the Session Volume Profile is continuously recalculating with new data, both the volume distribution and detected zones can change until the session closes.
Row Pivot Length:
Controls how far above and below each price row the indicator looks when identifying the highest and lowest volume points that define each Low Volume Zone. Larger values make the indicator compare a wider range of rows, while smaller values keep the analysis closer to each row’s immediate area.
Last SVPs:
Defines how many recent Session Volume Profiles are used for LVZs. For example, setting it to 3 limits LVZ detection to the last three sessions only.
Retests and Breaks:
Enables or disables the display of the retest and break markers described above.
Checklist:
The Checklist is a manual on-chart dashboard that allows traders to keep track of specific market conditions before entering a trade. Each checklist item can be toggled on or off in the indicator’s settings. When enabled, a checkmark emoji appears next to that item on the dashboard. When disabled, an X emoji appears next to that item.
This feature is designed to help traders visually confirm important steps in their process, such as reviewing trend direction, VWAP alignment, or session context. The checklist can also be repositioned anywhere on the chart using the “Location” setting for better visibility and layout preference.
Watermark:
The Watermark feature displays key chart information directly in the background, including the current ticker symbol, selected timeframe, and date. The watermark’s size, color, and transparency can be adjusted in the settings.
UNIQUENESS:
The VWAP Wave System Toolkit is unique because it brings every part of Auction Market Theory to the chart. It shows how value builds and shifts by combining Initial Balance levels, multi-timeframe VWAPs, and volume profiles. The indicator automatically marks low-volume zones where the market moved too quickly, highlights breaks and retests, and tracks how price interacts with fair value across sessions, weeks, and months. Every feature works together to give a simple view of balance, imbalance, and value development as the auction unfolds.
Trend Pivots Profile [BigBeluga]🔵 OVERVIEW
The Trend Pivots Profile is a dynamic volume profile tool that builds profiles around pivot points to reveal where liquidity accumulates during trend shifts. When the market is in an uptrend , the indicator generates profiles at low pivots . In a downtrend , it builds them at high pivots . Each profile is constructed using lower timeframe volume data for higher resolution, making it highly precise even in limited space. A colored trendline helps traders instantly recognize the prevailing trend and anticipate which type of profile (bullish or bearish) will form.
🔵 CONCEPTS
Pivot-Driven Profiles : Profiles are only created when a new pivot forms, aligning liquidity analysis with market structure shifts.
Trend-Contextual : Profiles form at low pivots in uptrends and at high pivots in downtrends.
Lower Timeframe Data : Volume and close values are pulled from smaller timeframes to provide detailed, high-resolution profiles inside larger pivot windows.
Adaptive Bin Sizing : Bin size is automatically calculated relative to ATR, ensuring consistent precision across different markets and volatility conditions.
Point of Control (PoC) : The highest-volume level within each profile is marked with a PoC line that extends until the next pivot forms.
Trendline Visualization : A wide, semi-transparent line follows the rolling average of highs and lows, colored blue in uptrends and orange in downtrends.
🔵 FEATURES
Pivot Length Control : Adjust how far back the script looks to detect pivots (e.g., length 5 → profiles cover 10 bars after pivot).
Pivot Profile toggle :
On → draw the filled pivot profile + PoC + pivot label.
Off → hide profiles; show only PoC level (clean S/R mode).
Trend Length Filter : Smooths trendline detection to ensure reliable up/down bias.
Precise Volume Distribution : Volume is aggregated into bins, creating a smooth volume curve around the pivot range.
PoC Extension : Automatically extends the most active price level until a new pivot is confirmed.
Profile Visualization : Profiles appear as filled shapes anchored at the pivot candle, colored based on trend.
Trendline Overlay : Thick, semi-transparent trendline provides visual guidance on directional bias.
Automatic Cleanup : Old profiles are deleted once they exceed the chart’s capacity (default 25 stored profiles).
🔵 HOW TO USE
Spotting Trend Liquidity : In an uptrend, monitor profiles at low pivots to see where buyers concentrated. In downtrends, use high-pivot profiles to spot sell-side pressure.
Watch the PoC : The PoC line highlights the strongest traded level of the pivot structure—expect reactions when price retests it.
Anticipate Trend Continuation/Reversal : Use the trendline (blue = bullish, orange = bearish) together with pivot profiles to forecast directional momentum.
Combine with HTF Context : Overlay with higher timeframe structure (order blocks, liquidity zones, or FVGs) for confluence.
Fine-Tune with Inputs : Adjust Pivot Length for sensitivity and Trend Length for smoother or faster trend shifts.
🔵 CONCLUSION
The Trend Pivots Profile blends pivot-based structure with precise volume profiling. By dynamically plotting profiles on pivots aligned with the prevailing trend, highlighting PoCs, and overlaying a directional trendline, it equips traders with a clear view of liquidity clusters and directional momentum—ideal for anticipating reactions, pullbacks, or breakouts.
Kalman Adjusted Average True Range [BackQuant]Kalman Adjusted Average True Range
A volatility-aware trend baseline that fuses a Kalman price estimate with ATR “rails” to create a smooth, adaptive guide for entries, exits, and trailing risk.
Built on my original Kalman
This indicator is based on my original Kalman Price Filter:
That core smoother is used here to estimate the “true” price path, then blended with ATR to control step size and react proportionally to market noise.
What it plots
Kalman ATR Line the main baseline that turns up/down with the filtered trend.
Optional Moving Average of the Kalman ATR a secondary line for confluence (SMA/Hull/EMA/WMA/DEMA/RMA/LINREG/ALMA).
Candle Coloring (optional) paint bars by the baseline’s current direction.
Why combine Kalman + ATR?
Kalman reduces measurement noise and produces a stable path without the lag of heavy MAs.
ATR rails scale the baseline’s step to current volatility, so it’s calm in chop and more responsive in expansion.
The result is a single, intelligible line you can trade around: slope-up = constructive; slope-down = caution.
How it works (plain English)
Each bar, the Kalman filter updates an internal state (tunable via Process Noise , Measurement Noise , and Filter Order ) to estimate the underlying price.
An ATR band (Period × Factor) defines the allowed per-bar adjustment. The baseline cannot “jump” beyond those rails in one step.
A direction flip is detected when the baseline’s slope changes sign (upturn/downturn), and alerts are provided for both.
Typical uses
Trend confirmation Trade in the baseline’s direction; avoid fading a firmly rising/falling line.
Pullback timing Look for entries when price mean-reverts toward a rising baseline (or exits on tags of a falling one).
Trailing risk Use the baseline as a dynamic guide; many traders set stops a small buffer beyond it (e.g., a fraction of ATR).
Confluence Enable the MA overlay of the Kalman ATR; alignment (baseline above its MA and rising) supports continuation.
Inputs & what they do
Calculation
Kalman Price Source which price the filter tracks (Close by default).
Process Noise how quickly the filter can adapt. Higher = more responsive (but choppier).
Measurement Noise how much you distrust raw price. Higher = smoother (but slower to turn).
Filter Order (N) depth of the internal state array. Higher = slightly steadier behavior.
Kalman ATR
Period ATR lookback. Shorter = snappier; longer = steadier.
Factor scales the allowed step per bar. Larger factors permit faster drift; smaller factors clamp movement.
Confluence (optional)
MA Type & Period compute an MA on the Kalman ATR line , not on price.
Sigma (ALMA) if ALMA is selected, this input controls the curve’s shape. (Ignored for other MA types.)
Visuals
Plot Kalman ATR toggle the main line.
Paint Candles color bars by up/down slope.
Colors choose long/short hues.
Signals & alerts
Trend Up baseline turns upward (slope crosses above 0).
Alert: “Kalman ATR Trend Up”
Trend Down baseline turns downward (slope crosses below 0).
Alert: “Kalman ATR Trend Down”
These are state flips , not “price crossovers,” so you avoid many one-bar head-fakes.
How to start (fast presets)
Swing (daily/4H) ATR Period 7–14, Factor 0.5–0.8, Process Noise 0.02–0.05, Measurement Noise 2–4, N = 3–5.
Intraday (5–15m) ATR Period 5–7, Factor 0.6–1.0, Process Noise 0.05–0.10, Measurement Noise 2–3, N = 3–5.
Slow assets / FX raise Measurement Noise or ATR Period for calmer lines; drop Factor if the baseline feels too jumpy.
Reading the line
Rising & curving upward momentum building; consider long bias until a clear downturn.
Flat & choppy regime uncertainty; many traders stand aside or tighten risk.
Falling & accelerating distribution lower; short bias until a clean upturn.
Practical playbook
Continuation entries After a Trend Up alert, wait for a minor pullback toward the baseline; enter on evidence the line keeps rising.
Exit/reduce If long and the baseline flattens then turns down, trim or exit; reverse logic for shorts.
Filters Add a higher-timeframe check (e.g., only take longs when the daily Kalman ATR is rising).
Stops Place stops just beyond the baseline (e.g., baseline − x% ATR for longs) to avoid “tag & reverse” noise.
Notes
This is a guide to state and momentum, not a guarantee. Combine with your process (structure, volume, time-of-day) for decisions.
Settings are asset/timeframe dependent; start with the presets and nudge Process/Measurement Noise until the baseline “feels right” for your market.
Summary
Kalman ATR takes the noise-reduction of a Kalman price estimate and couples it with volatility-scaled movement to produce a clean, adaptive baseline. If you liked the original Kalman Price Filter (), this is its trend-trading cousin purpose-built for cleaner state flips, intuitive trailing, and confluence with your existing
Multi-TF Trend Table (Configurable)1) What this tool does (in one minute)
A compact, multi‑timeframe dashboard that stacks eight timeframes and tells you:
Trend (fast MA vs slow MA)
Where price sits relative to those MAs
How far price is from the fast MA in ATR terms
MA slope (rising, falling, flat)
Stochastic %K (with overbought/oversold heat)
MACD momentum (up or down)
A single score (0%–100%) per timeframe
Alignment tick when trend, structure, slope and momentum all agree
Use it to:
Frame bias top‑down (M→W→D→…→15m)
Time entries on your execution timeframe when the higher‑TF stack is aligned
Avoid counter‑trend traps when the table is mixed
2) Table anatomy (each column explained)
The table renders 9 columns × 8 rows (one row per timeframe label you define).
TF — The label you chose for that row (e.g., Month, Week, 4H). Cosmetic; helps you read the stack.
Trend — Arrow from fast MA vs slow MA: ↑ if fastMA > slowMA (up‑trend), ↓ otherwise (down‑trend). Cell is green for up, red for down.
Price Pos — One‑character structure cue:
🔼 if price is above both fast and slow MAs (bullish structure)
🔽 if price is below both (bearish structure)
– otherwise (between MAs / mixed)
MA Dist — Distance of price from the fast MA measured in ATR multiples:
XS < S < M < L < XL according to your thresholds (see §3.3). Useful for judging stretch/mean‑reversion risk and stop sizing.
MA Slope — The fast MA one‑bar slope:
↑ if fastMA - fastMA > 0
↓ if < 0
→ if = 0
Stoch %K — Rounded %K value (default 14‑1‑3). Background highlights when it aligns with the trend:
Green heat when trend up and %K ≤ oversold
Red heat when trend down and %K ≥ overbought Tooltip shows K and D values precisely.
Trend % — Composite score (0–100%), the dashboard’s confidence for that timeframe:
+20 if trendUp (fast>slow)
+20 if fast MA slope > 0
+20 if MACD up (signal definition in §2.8)
+20 if price above fast MA
+20 if price above slow MA
Background colours:
≥80 lime (strong alignment)
≥60 green (good)
≥40 orange (mixed)
<40 grey (weak/contrary)
MACD — 🟢 if EMA(12)−EMA(26) > its EMA(9), else 🔴. It’s a simple “momentum up/down” proxy.
Align — ✔ when everything is in gear for that trend direction:
For up: trendUp and price above both MAs and slope>0 and MACD up
For down: trendDown and price below both MAs and slope<0 and MACD down Tooltip spells this out.
3) Settings & how to tune them
3.1 Timeframes (TF1–TF8)
Inputs: TF1..TF8 hold the resolution strings used by request.security().
Defaults: M, W, D, 720, 480, 240, 60, 15 with display labels Month, Week, Day, 12H, 8H, 4H, 1H, 15m.
Tips
Keep a top‑down funnel (e.g., Month→Week→Day→H4→H1→M15) so you can cascade bias into entries.
If you scalp, consider D, 240, 120, 60, 30, 15, 5, 1.
Crypto weekends: consider 2D in place of W to reflect continuous trading.
3.2 Moving Average (MA) group
Type: EMA, SMA, WMA, RMA, HMA. Changes both fast & slow MA computations everywhere.
Fast Length: default 20. Shorten for snappier trend/slope & tighter “price above fast” signals.
Slow Length: default 200. Controls the structural trend and part of the score.
When to change
Swing FX/equities: EMA 20/200 is a solid baseline.
Mean‑reversion style: consider SMA 20/100 so trend flips slower.
Crypto/indices momentum: HMA 21 / EMA 200 will read slope more responsively.
3.3 ATR / Distance group
ATR Length: default 14; longer makes distance less jumpy.
XS/S/M/L thresholds: define the labels in column MA Dist. They are compared to |close − fastMA| / ATR.
Defaults: XS 0.25×, S 0.75×, M 1.5×, L 2.5×; anything ≥L is XL.
Usage
Entries late in a move often occur at L/XL; consider waiting for a pullback unless you are trading breakouts.
For stops, an initial SL around 0.75–1.5 ATR from fast MA often sits behind nearby noise; use your plan.
3.4 Stochastic group
%K Length / Smoothing / %D Smoothing: defaults 14 / 1 / 3.
Overbought / Oversold: defaults 70 / 30 (adjust to 80/20 for trendier assets).
Heat logic (column Stoch %K): highlights when a pullback aligns with the dominant trend (oversold in an uptrend, overbought in a downtrend).
3.5 View
Full Screen Table Mode: centers and enlarges the table (position.middle_center). Great for clean screenshots or multi‑monitor setups.
4) Signal logic (how each datapoint is computed)
Per‑TF data (via a single request.security()):
fastMA, slowMA → based on your MA Type and lengths
%K, %D → Stoch(High,Low,Close,kLen) smoothed by kSmooth, then %D smoothed by dSmooth
close, ATR(atrLen) → for structure and distance
MACD up → (EMA12−EMA26) > EMA9(EMA12−EMA26)
fastMA_prev → yesterday/previous‑bar fast MA for slope
TrendUp → fastMA > slowMA
Price Position → compares close to both MAs
MA Distance Label → thresholds on abs(close − fastMA)/ATR
Slope → fastMA − fastMA
Score (0–100) → sum of the five 20‑point checks listed in §2.7
Align tick → conjunction of trend, price vs both MAs, slope and MACD (see §2.9)
Important behaviour
HTF values are sampled at the execution chart’s bar close using Pine v6 defaults (no lookahead). So the daily row updates only when a daily bar actually closes.
5) How to trade with it (playbooks)
The table is a framework. Entries/exits still follow your plan (e.g., S/D zones, price action, risk rules). Use the table to know when to be aggressive vs patient.
Playbook A — Trend continuation (pullback entry)
Look for Align ✔ on your anchor TFs (e.g., Week+Day both ≥80 and green, Trend ↑, MACD 🟢).
On your execution TF (e.g., H1/H4), wait for Stoch heat with the trend (oversold in uptrend or overbought in downtrend), and MA Dist not at XL.
Enter on your trigger (break of pullback high/low, engulfing, retest of fast MA, or S/D first touch per your plan).
Risk: consider ATR‑based SL beyond structure; size so 0.25–0.5% account risk fits your rules.
Trail or scale at M/L distances or when score deteriorates (<60).
Playbook B — Breakout with confirmation
Mixed stack turns into broad green: Trend % jumps to ≥80 on Day and H4; MACD flips 🟢.
Price Pos shows 🔼 across H4/H1 (above both MAs). Slope arrows ↑.
Enter on the first clean base‑break with volume/impulse; avoid if MA Dist already XL.
Playbook C — Mean‑reversion fade (advanced)
Use only when higher TFs are not aligned and the row you trade shows XL distance against the higher‑TF context. Take quick targets back to fast MA. Lower win‑rate, faster management.
Playbook D — Top‑down filter for Supply/Demand strategy
Trade first retests only in the direction where anchor TFs (Week/Day) have Align ✔ and Trend % ≥60. Skip counter‑trend zones when the stack is red/green against you.
6) Reading examples
Strong bullish stack
Week: ↑, 🔼, S/M, slope ↑, %K=32 (green heat), Trend 100%, MACD 🟢, Align ✔
Day: ↑, 🔼, XS/S, slope ↑, %K=45, Trend 80%, MACD 🟢, Align ✔
Action: Look for H4/H1 pullback into demand or fast MA; buy continuation.
Late‑stage thrust
H1: ↑, 🔼, XL, slope ↑, %K=88
Day/H4: only 60–80%
Action: Likely overextended on H1; wait for mean reversion or multi‑TF alignment before chasing.
Bearish transition
Day flips from 60%→40%, Trend ↓, MACD turns 🔴, Price Pos “–” (between MAs)
Action: Stand aside for longs; watch for lower‑high + Align ✔ on H4/H1 to join shorts.
7) Practical tips & pitfalls
HTF closure: Don’t assume a daily row changed mid‑day; it won’t settle until the daily bar closes. For intraday anticipation, watch H4/H1 rows.
MA Type consistency: Changing MA Type changes slope/structure everywhere. If you compare screenshots, keep the same type.
ATR thresholds: Calibrate per asset class. FX may suit defaults; indices/crypto might need wider S/M/L.
Score ≠ signal: 100% does not mean “must buy now.” It means the environment is favourable. Still execute your trigger.
Mixed stacks: When rows disagree, reduce size or skip. The tool is telling you the market lacks consensus.
8) Customisation ideas
Timeframe presets: Save layouts (e.g., Swing, Intraday, Scalper) as indicator templates in TradingView.
Alternative momentum: Replace the MACD condition with RSI(>50/<50) if desired (would require code edit).
Alerts: You can add alert conditions for (a) Align ✔ changes, (b) Trend % crossing 60/80, (c) Stoch heat events. (Not shipped in this script, but easy to add.)
9) FAQ
Q: Why do I sometimes see a dash in Price Pos? A: Price is between fast and slow MAs. Structure is mixed; seek clarity before acting.
Q: Does it repaint? A: No, higher‑TF values update on the close of their own bars (standard request.security behaviour without lookahead). Intra‑bar they can fluctuate; decisions should be made at your bar close per your plan.
Q: Which columns matter most? A: For trend‑following: Trend, Price Pos, Slope, MACD, then Stoch heat for entries. The Score summarises, and Align enforces discipline.
Q: How do I integrate with ATR‑based risk? A: Use the MA Dist label to avoid chasing at extremes and to size stops in ATR terms (e.g., SL behind structure at ~1–1.5 ATR).
Volume Weighted RSI (VW RSI)The Volume Weighted RSI (VW RSI) is a momentum oscillator designed for TradingView, implemented in Pine Script v6, that enhances the traditional Relative Strength Index (RSI) by incorporating trading volume into its calculation. Unlike the standard RSI, which measures the speed and change of price movements based solely on price data, the VW RSI weights its analysis by volume, emphasizing price movements backed by significant trading activity. This makes the VW RSI particularly effective for identifying bullish or bearish momentum, overbought/oversold conditions, and potential trend reversals in markets where volume plays a critical role, such as stocks, forex, and cryptocurrencies.
Key Features
Volume-Weighted Momentum Calculation:
The VW RSI calculates momentum by comparing the volume associated with upward price movements (up-volume) to the volume associated with downward price movements (down-volume).
Up-volume is the volume on bars where the closing price is higher than the previous close, while down-volume is the volume on bars where the closing price is lower than the previous close.
These volumes are smoothed over a user-defined period (default: 14 bars) using a Running Moving Average (RMA), and the VW RSI is computed using the formula:
\text{VW RSI} = 100 - \frac{100}{1 + \text{VoRS}}
where
\text{VoRS} = \frac{\text{Average Up-Volume}}{\text{Average Down-Volume}}
.
Oscillator Range and Interpretation:
The VW RSI oscillates between 0 and 100, with a centerline at 50.
Above 50: Indicates bullish volume momentum, suggesting that volume on up bars dominates, which may signal buying pressure and a potential uptrend.
Below 50: Indicates bearish volume momentum, suggesting that volume on down bars dominates, which may signal selling pressure and a potential downtrend.
Overbought/Oversold Levels: User-defined thresholds (default: 70 for overbought, 30 for oversold) help identify potential reversal points:
VW RSI > 70: Overbought, indicating a possible pullback or reversal.
VW RSI < 30: Oversold, indicating a possible bounce or reversal.
Visual Elements:
VW RSI Line: Plotted in a separate pane below the price chart, colored dynamically based on its value:
Green when above 50 (bullish momentum).
Red when below 50 (bearish momentum).
Gray when at 50 (neutral).
Centerline: A dashed line at 50, optionally displayed, serving as the neutral threshold between bullish and bearish momentum.
Overbought/Oversold Lines: Dashed lines at the user-defined overbought (default: 70) and oversold (default: 30) levels, optionally displayed, to highlight extreme conditions.
Background Coloring: The background of the VW RSI pane is shaded red when the indicator is in overbought territory and green when in oversold territory, providing a quick visual cue of potential reversal zones.
Alerts:
Built-in alerts for key events:
Bullish Momentum: Triggered when the VW RSI crosses above 50, indicating a shift to bullish volume momentum.
Bearish Momentum: Triggered when the VW RSI crosses below 50, indicating a shift to bearish volume momentum.
Overbought Condition: Triggered when the VW RSI crosses above the overbought threshold (default: 70), signaling a potential pullback.
Oversold Condition: Triggered when the VW RSI crosses below the oversold threshold (default: 30), signaling a potential bounce.
Input Parameters
VW RSI Length (default: 14): The period over which the up-volume and down-volume are smoothed to calculate the VW RSI. A longer period results in smoother signals, while a shorter period increases sensitivity.
Overbought Level (default: 70): The threshold above which the VW RSI is considered overbought, indicating a potential reversal or pullback.
Oversold Level (default: 30): The threshold below which the VW RSI is considered oversold, indicating a potential reversal or bounce.
Show Centerline (default: true): Toggles the display of the 50 centerline, which separates bullish and bearish momentum zones.
Show Overbought/Oversold Lines (default: true): Toggles the display of the overbought and oversold threshold lines.
How It Works
Volume Classification:
For each bar, the indicator determines whether the price movement is upward or downward:
If the current close is higher than the previous close, the bar’s volume is classified as up-volume.
If the current close is lower than the previous close, the bar’s volume is classified as down-volume.
If the close is unchanged, both up-volume and down-volume are set to 0 for that bar.
Smoothing:
The up-volume and down-volume are smoothed using a Running Moving Average (RMA) over the specified period (default: 14 bars) to reduce noise and provide a more stable measure of volume momentum.
VW RSI Calculation:
The Volume Relative Strength (VoRS) is calculated as the ratio of smoothed up-volume to smoothed down-volume.
The VW RSI is then computed using the standard RSI formula, but with volume data instead of price changes, resulting in a value between 0 and 100.
Visualization and Alerts:
The VW RSI is plotted with dynamic coloring to reflect its momentum direction, and optional lines are drawn for the centerline and overbought/oversold levels.
Background coloring highlights overbought and oversold conditions, and alerts notify the trader of significant crossings.
Usage
Timeframe: The VW RSI can be used on any timeframe, but it is particularly effective on intraday charts (e.g., 1-hour, 4-hour) or daily charts where volume data is reliable. Shorter timeframes may require a shorter length for increased sensitivity, while longer timeframes may benefit from a longer length for smoother signals.
Markets: Best suited for markets with significant and reliable volume data, such as stocks, forex, and cryptocurrencies. It may be less effective in markets with low or inconsistent volume, such as certain futures contracts.
Trading Strategies:
Trend Confirmation:
Use the VW RSI to confirm the direction of a trend. For example, in an uptrend, look for the VW RSI to remain above 50, indicating sustained bullish volume momentum, and consider buying on pullbacks when the VW RSI dips but stays above 50.
In a downtrend, look for the VW RSI to remain below 50, indicating sustained bearish volume momentum, and consider selling on rallies when the VW RSI rises but stays below 50.
Overbought/Oversold Conditions:
When the VW RSI crosses above 70, the market may be overbought, suggesting a potential pullback or reversal. Consider taking profits on long positions or preparing for a short entry, but confirm with price action or other indicators.
When the VW RSI crosses below 30, the market may be oversold, suggesting a potential bounce or reversal. Consider entering long positions or covering shorts, but confirm with additional signals.
Divergences:
Look for divergences between the VW RSI and price to spot potential reversals. For example, if the price makes a higher high but the VW RSI makes a lower high, this bearish divergence may signal an impending downtrend.
Conversely, if the price makes a lower low but the VW RSI makes a higher low, this bullish divergence may signal an impending uptrend.
Momentum Shifts:
A crossover above 50 can signal the start of bullish momentum, making it a potential entry point for long trades.
A crossunder below 50 can signal the start of bearish momentum, making it a potential entry point for short trades or an exit for long positions.
Example
On a 4-hour SOLUSDT chart:
During an uptrend, the VW RSI might rise above 50 and stay there, confirming bullish volume momentum. If it approaches 70, it may indicate overbought conditions, as seen near a price peak of 145.08, suggesting a potential pullback.
During a downtrend, the VW RSI might fall below 50, confirming bearish volume momentum. If it drops below 30 near a price low of 141.82, it may indicate oversold conditions, suggesting a potential bounce, as seen in a slight recovery afterward.
A bullish divergence might occur if the price makes a lower low during the downtrend, but the VW RSI makes a higher low, signaling a potential reversal.
Limitations
Lagging Nature: Like the traditional RSI, the VW RSI is a lagging indicator because it relies on smoothed data (RMA). It may not react quickly to sudden price reversals, potentially missing the start of new trends.
False Signals in Ranging Markets: In choppy or ranging markets, the VW RSI may oscillate around 50, generating frequent crossovers that lead to false signals. Combining it with a trend filter (e.g., ADX) can help mitigate this.
Volume Data Dependency: The VW RSI relies on accurate volume data, which may be inconsistent or unavailable in some markets (e.g., certain forex pairs or futures contracts). In such cases, the indicator’s effectiveness may be reduced.
Overbought/Oversold in Strong Trends: During strong trends, the VW RSI can remain in overbought or oversold territory for extended periods, leading to premature exit signals. Use additional confirmation to avoid exiting too early.
Potential Improvements
Smoothing Options: Add options to use different smoothing methods (e.g., EMA, SMA) instead of RMA for the up/down volume calculations, allowing users to adjust the indicator’s responsiveness.
Divergence Detection: Include logic to detect and plot bullish/bearish divergences between the VW RSI and price, providing visual cues for potential reversals.
Customizable Colors: Allow users to customize the colors of the VW RSI line, centerline, overbought/oversold lines, and background shading.
Trend Filter: Integrate a trend strength filter (e.g., ADX > 25) to ensure signals are generated only during strong trends, reducing false signals in ranging markets.
The Volume Weighted RSI (VW RSI) is a powerful tool for traders seeking to incorporate volume into their momentum analysis, offering a unique perspective on market dynamics by emphasizing price movements backed by significant trading activity. It is best used in conjunction with other indicators and price action analysis to confirm signals and improve trading decisions.
Uptrick: Zero Lag HMA Trend Suite1. Name and Purpose
Uptrick: Zero Lag HMA Trend Suite is a Pine Version 6 script that builds upon the Hull Moving Average (HMA) to offer an advanced trend analysis tool. Its purpose is to help traders identify trend direction, potential reversals, and overall market momentum with reduced lag compared to traditional moving averages. By combining the HMA with Average True Range (ATR) thresholds, slope-dependent coloring, Volume Weighted Average Price (VWAP) ribbons, and optional reversal signals, the script aims to give a detailed view of price activity in various market environments.
2. Overview
This script begins with the calculation of a Hull Moving Average, a method that blends Weighted Moving Averages in a way designed to cut down on lag while still smoothing out price fluctuations. Next, several enhancements are applied. The script compares current HMA values to previous ones for slope-based coloring, which highlights uptrends and downtrends at a glance. It also plots buy and sell signals when price moves beyond or below thresholds determined by the ATR and the user’s chosen signal multiplier. An optional VWAP ribbon can be shown to confirm bullish or bearish conditions relative to a volume-weighted benchmark. Additionally, the script can plot reversal signals (labeled with B) at points where price crosses back toward the HMA from above or below. Taken together, these elements allow traders to visualize both the short-term momentum and the broader context of how price interacts with volatility and overall market direction.
3. Why These Indicators Have Been Linked Together
The reason the Hull Moving Average, the Average True Range, and the VWAP have been integrated into one script is to tackle multiple facets of market analysis in a single tool. The Zero Lag Hull Moving Average provides a responsive trend line, the ATR offers a measure of volatility that helps distinguish significant price shifts from typical fluctuations, and the VWAP acts as a reference for fair value based on traded volume. By layering all three, the script helps traders avoid the need to juggle multiple separate indicators and offers a holistic perspective. The slope-based coloring focuses on trend direction, the ATR-based thresholds refine possible buy and sell zones, and the VWAP ribbons provide insight into how price stands relative to an important volume-weighted level. The inclusion of up and down signals and reversal B labels further refines entries and exits.
4. Why Use Uptrick: Zero Lag HMA Trend Suite
The Hull Moving Average is already known for reacting more quickly to price changes compared to other moving averages while retaining a degree of smoothness. This suite enhances the basic HMA by showing colored gradients that make it easy to spot trend direction changes, highlighting potential entry or exit points based on volatility-driven thresholds, and optionally layering a volume-based measure of bullish or bearish market sentiment. By relying on a zero lag approach and additional data points, the script caters to those wanting a more responsive method of identifying shifts in market dynamics. The added reversal signals and up or down alerts give traders extra confirmation for potential turning points.
5. How This Extension Improves on the Basic HMA
This extension not only plots the Hull Moving Average but also includes data-driven alerts and visual cues that traditional HMA lines do not provide. First, it offers multi-layered slope coloring, making up or down trends quickly apparent. Second, it uses ATR-based thresholds to pinpoint moments when price may be extending beyond normal volatility, thus generating buy or sell signals. Third, the script introduces an optional VWAP ribbon to indicate whether the market is trading above or below this pivotal volume-weighted benchmark, adding a further confirmation step for bullish or bearish conditions. Finally, it incorporates optional reversal signals labeled with B, indicating points where price might swing back toward the main HMA line.
6. Core Components
The script can be broken down into several primary functions and features.
a. Zero Lag HMA Calculation
Uses two Weighted Moving Averages (half-length and full-length) combined through a smoothing step based on the square root of the chosen length. This approach is designed to reduce lag significantly compared to other moving averages.
b. Slope Detection
Compares current and prior HMA values to determine if the trend is up or down. The slope-based coloring changes between turquoise shades for upward movement and magenta shades for downward movement, making trend direction immediately visible.
c. ATR-Based Thresholding for Up and Down Signals
The script calculates an Average True Range over a user-defined period, then multiplies it by a signal factor to form two bands around the HMA. When price crosses below the lower band, an up (buy) signal appears; when it crosses above the upper band, a down (sell) signal is shown.
d. Reversal Signals (B Labels)
Tracks when price transitions back toward the main HMA from an extreme zone. When enabled, these reversal points are labeled with a B and can help traders see potential turning points or mean-reversion setups.
e. VWAP Bands
An optional Volume Weighted Average Price ribbon that plots above or below the HMA, indicating bullish or bearish conditions relative to a volume-weighted price benchmark. This can also act as a kind of support/ resistance.
7. User Inputs
a. HMA Length
Controls how quickly the moving average responds to price changes. Shorter lengths react faster but can lead to more frequent signals, whereas longer lengths produce smoother lines.
b. Source
Specifies the price input, such as close or an alternative source, for the calculation. This can help align the HMA with specific trading strategies.
c. ATR Length and Signal Multiplier
Defines how the script calculates average volatility and sets thresholds for buy or sell alerts. Adjusting these values can help filter out noise or highlight more aggressive signals.
d. Slope Index
Determines how many bars to look back for detecting slope direction, influencing how sensitive the slope coloring is to small fluctuations.
e. Show Buy and Sell Signals, Reversal Signals, and VWAP
Lets users toggle the display of these features. Turning off certain elements can reduce chart clutter if traders prefer a simpler layout.
8. Calculation Process
The script’s calculation follows a step-by-step approach. It first computes two Weighted Moving Averages of the selected price source, one over half the specified length and one over the full length. It then combines these using 2*wma1 minus wma2 to reduce lag, followed by applying another weighted average using the square root of the length. Simultaneously, it computes the ATR for a user-defined period. By multiplying ATR by the signal multiplier, it establishes upper and lower bands around the HMA, where crossovers generate buy (up) or sell (down) signals. The script can also plot reversal signals (B labels) when price crosses back from these bands in the opposite direction. For the optional VWAP feature, Pine Script’s ta.vwap function is used, and differences between the HMA and VWAP levels determine the color and opacity of the ribbon.
9. Signal Generation and Filtering
The ATR-based thresholds reduce the influence of small, inconsequential price swings. When price falls below the lower band, the script issues an up (buy) signal. If price breaks above the upper band, a down (sell) signal appears. These signals are visible through labels placed near the bars. Reversal signals, labeled with B, can be turned on to help detect when price retraces from an extended area back toward the main HMA line. Traders can disable or enable these signals to match their preferred level of chart detail or risk tolerance.
10. Visualization on the Chart
The Zero HMA Lag Trend Suite aims for visual clarity. The HMA line is plotted multiple times with increasing transparency to create a gradient effect. Turquoise gradients indicate upward slopes, and magenta gradients signify downward slopes. Bar coloring can be configured to align with the slope direction, providing quick insight into current momentum. When enabled, buy or sell labels are placed under or above the bars as price crosses the ATR-defined boundaries. If the reversal option is active, B labels appear around areas where price changes direction. The optional VWAP ribbons form background bands, using distinct coloration to signal whether price is above or below the volume-weighted metric.
11. Market Adaptability
Because the script’s parameters (HMA length, ATR length, signal multiplier, and slope index) are user-configurable, it can adapt to a wide range of markets and timeframes. Intraday traders may prefer a shorter HMA length for quick signals, while swing or position traders might use a longer HMA length to filter out short-lived price changes. The source setting can also be adjusted, allowing for specialized data inputs beyond just close or open values.
12. Risk Management Considerations
The script’s signals and labels are based on past price data and volatility readings, and they do not guarantee profitable outcomes. Sharp market reversals or unforeseen fundamental events can produce false signals. Traders should combine this tool with broader risk management strategies, including stop-loss placement, position sizing, and independent market analyses. The Zero HMA Lag Trend Suite can help highlight potential opportunities, but it should not be relied upon as the sole basis for trade decisions.
13. Combining with Other Tools
Many traders choose to verify signals from the Zero HMA Lag Trend Suite using popular indicators like the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), or even simple volume-based metrics to confirm whether a price movement has sufficient momentum. Conventional techniques such as support and resistance levels, chart patterns, or candlestick analysis can also supplement signals generated by the script’s up, down, or reversal B labels.
14. Parameter Customization and Examples
a. Short-Term Day Trading
Using a shorter HMA length (for instance, 9 or 14) and a slightly higher ATR multiplier might provide timely buy and sell signals, though it may also produce more whipsaws in choppy markets.
b. Swing or Position Trading
Selecting a longer HMA length (such as 50 or 100) with a moderate ATR multiplier can help users track more significant and sustained market moves, potentially reducing the effect of minor fluctuations.
c. Multiple Timeframe Blends
Some traders load two versions of the indicator on the same chart, one for short-term signals (with frequent B label reversals) and another for the broader trend direction, aligning entry and exit decisions with the bigger picture.
15. Realistic Expectations
Even though the Hull Moving Average helps minimize lag and the script incorporates volatility-based filters and optional VWAP overlays, it cannot predict future market behavior with complete accuracy. Periods of low liquidity or sudden market shocks can still lead to signals that do not reflect longer-term trends. Frequent parameter review and manual confirmation are advised before executing trades based solely on the script’s outputs.
16. Theoretical Background
The Hull Moving Average formula aims to balance smoothness with reactivity, accomplished by combining Weighted Moving Averages at varying lengths. By subtracting a slower average from a faster one and then applying another smoothing step with the square root of the original length, the HMA is designed to respond more promptly to price changes than typical exponential or simple moving averages. The ATR component, introduced by J. Welles Wilder, calculates the average range of price movement over a user-defined period, allowing the script to assess volatility and adapt signals accordingly. VWAP provides a volume-weighted benchmark that many institutional traders track to gauge fair intraday value.
17. Originality and Uniqueness
Although multiple HMA-based indicators can be found, Uptrick: Zero Lag HMA Trend Suite sets itself apart by merging slope-based coloring, ATR thresholds, VWAP ribbons, up or down labels, and optional reversal signals all in one cohesive platform. This synergy aims to reduce chart clutter while still giving traders a comprehensive look at trend direction, volatility, and volume-based sentiment.
18. Summary
Uptrick: Zero Lag HMA Trend Suite is a specialized trading script designed to highlight potential market trends and reversals with minimal delay. It leverages the Hull Moving Average for an adaptive yet smooth price line, pairs ATR-based thresholds for detecting possible breakouts or dips, and provides VWAP-based ribbons for added volume-weighted context. Traders can further refine their entries and exits by enabling up or down signals and reversal labels (B) where price may revert toward the HMA. Suitable for a wide range of timeframes and instrument types, the script encourages a disciplined approach to trade management and risk control.
19. Disclaimer
This script is provided for informational and educational purposes only. Trading and investing involve significant financial risk, and no indicator can guarantee success under all conditions. Users should practice robust risk management, including the placement of stop losses and position sizing, and should confirm signals with additional analysis tools. The developer of this script assumes no liability for any trading decisions or outcomes resulting from its use.
