Support and Resistance Power Channel [ChartPrime]The Support and Resistance Power Channel indicator helps traders visualize key support and resistance zones, along with buy and sell power within those zones. By identifying the highest and lowest prices within a defined range, this indicator provides insight into potential price reversals and market strength. It calculates the strength of buy and sell pressure within the zones and includes additional features like midline values and delayed signals to reduce false breakouts.
⯁ KEY FEATURES AND HOW TO USE
⯌ Support and Resistance Zones :
This indicator identifies dynamic support (lower zone) and resistance (upper zone) levels, allowing traders to easily visualize key price levels. These zones are customizable with settings for the length of the channel and how far the zones extend into the future. The zones can be used to predict areas of potential price reversal or consolidation.
⯌ Buy and Sell Power :
Within the upper resistance zone, the indicator calculates Sell Power based on the number of bearish candles, while the lower support zone calculates Buy Power based on bullish candles. This feature helps traders understand the strength of buying or selling activity within each zone.
Example of buy and sell power tracking:
⯌ Highest, Lowest, and Mid Price Levels :
The indicator marks the highest and lowest price levels within the channel with an "X," and displays these values at the end of the channel. Additionally, the midline (average of the high and low) is plotted with a dotted line, showing a key area that the price often retests during trends.
⯌ Delayed Signal Markers :
To prevent false breakouts, the indicator includes a 2-bar delay for signals. These signals are plotted when the price crosses above or below the resistance or support zones, confirming potential reversals or breakouts. Arrows or diamonds are used to mark these signals on the chart.
Example of delayed breakout signals on the chart:
⯌ Extend Zones into the Future :
In the settings, traders can extend the support and resistance zones further into the future, allowing for ongoing analysis even after the initial levels have been identified. This feature can help with forward-looking trade planning.
⯁ USER INPUTS
Length : Defines the number of bars used to calculate the support and resistance zones.
Extend : Sets how far the support and resistance zones should be extended into the future.
Top and Bottom Colors : Allows customization of the colors for the support and resistance zones.
⯁ CONCLUSION
The Support and Resistance Power Channel indicator provides a powerful and visually intuitive way to track key market levels, buy and sell pressure, and potential reversals. With its real-time zone plotting and the calculation of power within each zone, it offers traders essential insights for making more informed trading decisions.
Trend Analysis
Long Wick Detector [LuxAlgo]The Long Wick Detector tool allows traders to identify candle wicks longer than a user-defined volatility threshold. This makes it useful for spotting zones with high supply or demand.
The tool displays mitigated and unmitigated levels and changes the color of the candles based on wick size and level breakouts.
🔶 USAGE
By default, the tool displays long mitigated and unmitigated candle wicks, with a maximum duration for an unmitigated long wick of 1,000 bars. What does all this mean?
🔹 Wick Threshold
Traders can adjust the volatility threshold to identify long wicks, with a higher threshold detecting more significant wicks.
As we can see in the image above, the tool detects more wicks with a smaller threshold compared to a higher one.
🔹 Level %
Traders can choose the percentage of the wick at which the level is located. By default, the level is displayed at the extremes of the wick. This parameter accepts values between 0 and 100.
100: extreme of the wick
50: middle of the wick
0: start of the wick
🔹 Max Duration
This parameter allows traders to specify the number of bars for the levels. The tool will only display mitigated or unmitigated levels up to the specified number of bars.
As shown in the above image, a longer duration allows more room for mitigation, displaying more levels.
🔹 Colored Candles
The tool allows for color customization using two parameters from the settings panel. The chart shows the different outputs.
The setting "Wick-Based Transparency" makes candles with smaller wicks less visible and candles with longer wicks more visible.
On the other hand, "Breakout-Based Color" changes the base color of the candles based on the mitigation of long wicks. When the price breaks above a detected top wick, the bullish color is used. When the price breaks below a detected bottom wick, the bearish color is used.
🔶 SETTINGS
Wick Threshold: The volatility threshold for wick detection. Use a smaller value to detect smaller wicks.
Level %: Placement of the plotted level relative to the wick.
Max Duration: The maximum duration in bars of mitigated wicks.
Mitigated Wicks: Enable or disable mitigated wicks.
🔹 Style
Wick Based Transparency: Make candles with smaller wicks more transparent and candles with longer wicks more solid.
Breakout Based Color: Change the base color based on wick mitigation.
Bullish & Bearish Colors
Ultimate Scalping Tool[BullByte]Overview
The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators.
Core Components
Quantum Flux Candle (QFC) Construction
The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own.
Oscillator Normalization & Adaptive Weights
The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale).
Trend/Momentum/Volume/Volatility Fusion
Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength.
Signal Classification
The script interprets the QFC oscillator to label trades. For example:
• Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend.
• Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal.
• Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow.
These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion).
Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX)
Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.)
Dashboard Metrics & Color Logic
The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences.
1. Dashboard Layout & Customization
Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input.
Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input.
Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script.
2. Key Metrics Displayed
The dashboard presents critical trading metrics in a structured table format:
Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) .
Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds.
Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator.
Basic & Advanced Signals:
Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade).
Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts.
RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions.
HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter.
VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it.
ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red).
Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom).
Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**.
3. Filters Status Panel
A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals:
- DI Reversal Filter: On/Off (confirms reversals before generating signals).
- Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility).
- Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility).
- Early Signal: On/Off (enables early momentum-based signals).
- Leading HTF Filter: On/Off (applies higher timeframe trend confirmation).
4. Visual Enhancements
Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation.
Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends.
Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator.
How It(QFC) Differs from Traditional Indicators
Quantum Flux Candle (QFC) Versus Heikin-Ashi
Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart.
Versus Standard Oscillators
Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one.
Signal Style
Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code.
Key Term Definitions
• Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting.
• Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade.
• Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended.
What is the Flux MA?
The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish.
How it’s calculated (Flux MA):
1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0).
2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods).
3.The result is rescaled back to the oscillator’s original range for plotting.
Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts.
Color of the Flux Candle
The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means:
• Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward.
• Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward.
• Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long.
• Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short.
The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions.
How to Trade the Flux MA with Respect to the Candle
Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide:
1. Identify the Trend Direction
• Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum.
• Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum.
The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure.
2. Interpret Candle Colors for Trade Signals
• Green Candle : General bullish momentum. Consider entering or holding a long position.
• Red Candle : General bearish momentum. Consider entering or holding a short position.
• Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade.
• Purple Candle : A strong sell signal. This is an ideal time to enter a short trade.
3. Enter Trades Based on Crossovers and Colors
• Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long.
• Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short.
4. Exit Trades
• Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing.
• Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing.
•You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal).
5. Use Additional Confirmation
To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example:
•A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal.
•A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting.
Practical Example
Imagine you’re scalping a cryptocurrency:
• Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA.
• Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA.
Market Presets and Adaptation
This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type.
Usage Guidelines
• Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings.
• Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs.
• Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability.
• Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger.
• Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands.
Background Shading
To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark):
Neutral (Gray)
When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands.
Bullish (Green)
As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight.
Bearish (Red)
Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30.
By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions.
The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference.
Disclaimer
No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders.
Good luck!
- BullByte
SMA Backtest Optimizer [Mr_Rakun]The SMA Backtest Optimizer is a powerful Pine Script tool designed to systematically analyze and compare various Simple Moving Average (SMA) periods to identify the most profitable configuration for trading strategies. This indicator tests multiple SMA periods (from 10 to 100) using a crossover strategy where buys occur when price crosses above the SMA and sells when price crosses below it.
Key Features:
Tests 10 different SMA periods to determine optimal settings
Calculates profit/loss based on a defined starting capital
Tracks total profit and number of trades for each period
Visually highlights the best performing SMA on your chart
Displays comprehensive results in an easy-to-read table
Labels the chart with key performance metrics
This code serves as a core framework that traders can customize for their specific needs. You can easily modify the strategy parameters, test different technical indicators, adjust capital settings, or implement more complex entry/exit rules. The optimization methodology can be applied to virtually any trading approach you wish to evaluate.
Feel free to adapt this framework to test your own trading ideas and discover which parameters work best in different market conditions.
Vertical Line N Bars BehindDraw a line at the close N-bars behind. Useful for seeing the trend of the security since N-bars ago.
Trend Finder {Darkoexe}This indicator displays the end and start of trends using an ATR factor.
The ATR with trend factor is used to determine the minimum length for a trend to be considered a trend.
The ATR against trend factor is used to determine the minimum length price needs to move against a trend for it to break the trend.
The ATR factors are multiplied with the ATR to determine these lengths.
The labels indicate the starts and ends of trends;
The green label indicates the start of an up trend.
The red label indicates the start of a down trend.
The black/gray label indicates the start of a trend and the end of another trend at the same location.
The purple/pink label indicates the end of a trend.
All the label colors can be changed.
IMPORTANT NOTE: This is a repainting indicator, it should only be used to back test and analyze previous trends. Do not use this indicator for live trading.
CANX Supply and Demand - Order Block - Candle Identification© CanxStixTrader
CANX Supply and Demand - Order Block - Candle Identification
Description
Designed as a visual aid, to highlight the last up or down candle before a fractal break. We can assume these candles where the point of origin that generated enough strength to break recent structure. By using them as reference points, traders are expected to follow their own set of rules and mark higher probability supply and demand zones in the area.
How to use:
Expect price to retest in these areas, and if they fail, a potential retest in the opposite direction . The greater the number of times a zone is tested, the more likely it is to break. A fresh zone that has not yet been tested will have a higher probability of a bounce.
Fractal period and candle break type can be customized in the settings. This works on all time frames.
**The indicator is set to my optimal settings for the 5 minute or 15 minute time frame** Please mess around to find your comfort zone and back test the results.
The lower the period number the more noise this creates on the market. The higher the number the less noise and more potential for a stronger zone.
Keep it simple
YB Academy SNRThe YB Academy SNR indicator is a complete swing-based Support & Resistance mapping tool with powerful built-in entry/exit signals. Designed for traders who want to identify high-probability reaction zones and get real-time alerts for the best buy and sell opportunities, this script helps you trade with structure, confidence, and discipline—on any time frame.
How It Works
1. Automatic Support & Resistance Detection
The indicator automatically scans for major swing highs and swing lows on your chart using a sensitivity parameter.
Every time a new swing high/low forms, a horizontal SNR line is drawn at that price level.
Both support and resistance lines automatically extend to the right of your chart, providing a persistent map of key levels for future entries and exits.
You can control how many recent zones are shown (max_snrs), keeping your chart clean and focused.
2. Smart Buy/Sell Signal Generation
Buy signals (“YB Buy”): Trigger when price touches or bounces off a support line, with trend/momentum/freshness filters:
Price is above the EMA50 (trend filter)
MACD is bullish (momentum)
RSI confirms no overbought
Sell signals (“YB Sell”): Trigger when price hits resistance, with strict confirmation:
Price is below EMA50
MACD is bearish
RSI not oversold
Both signals are shown as clear up/down triangle arrows directly on your chart.
3. Powerful Alerts
Never miss a trade: Real-time alerts fire as soon as a valid buy or sell condition appears.
Use with TradingView app, web, or SMS for 24/7 notification—no chart-watching needed.
4. Fully Customizable
Change sensitivity for tighter/looser SNR mapping.
Control the look and feel: colors for SNR, signals, number of zones, extension distance.
Works on any market: gold, forex, indices, crypto, stocks.
5. Clean Visuals, Zero Clutter
SNR lines are automatically managed—older zones are removed as new ones appear.
Only the latest/best buy/sell signals are shown, so you can act quickly and decisively.
Perfect For:
Scalpers, Day Traders, Swing Traders
Anyone who wants to trade using clean price action levels, NOT lagging indicators
Traders looking for rule-based, mechanical entries and exits
What Makes This Unique?
Precision: Uses swing structure, not arbitrary pivots or moving averages, for SNR.
Multi-Filter Entries: Combines trend, momentum, and overbought/oversold logic for high-probability signals.
Alerts & Automation: Built-in, with no need for manual chart watching.
Simple to Use: Add to any TradingView chart, adjust settings, and go.
Upgrade your trading with the YB Academy SNR!
Get alerted to the real opportunities—right at the key price zones, with all the discipline of a professional.
Trend Finder Using Pull Back Method {Darkoexe}This indicator predicts trends using pull backs structure to predict the trend direction. It builds off the flag pattern concept but it uses precise precise measurements to determine trend direction.
A pull back occurs every time the price direction switches then closes either below or above the open of the previous candle depending on the type of pull back, bullish or bearish.
For an up trend to be a defined, when a bullish pull back occurs and does not go below the previous low, if the price then passes above the start of the pull back, an up trend signal will be printed. Only bullish pull backs will be displayed during an up trend.
For a down trend to be defined, when a bearish pull back occurs and does not go above the previous high, if the price then passes below the start of the pull back, a down trend signal will be printed. Only bearish pull backs will be displayed during a down trend.
If the conditions for an up trend or down trend are not met, no trend will be printed. Both bearish and bullish pull backs will be displayed during a no trend.
All the labels colors can be changed.
//Darkoexe
MTF Trend + Crossover AlertsMulti-Timeframe Trend Dashboard + Crossover Signals
This indicator provides a clean, real-time visual dashboard of trend directions across multiple timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D), based on moving average crossovers.
🔹 Trend Detection Logic:
When the fast MA is above the slow MA → Bullish trend 🚀
When the fast MA is below the slow MA → Bearish trend 🐻
When both are equal or ranging → Neutral
📊 Dashboard Features:
Displays trend status for each selected timeframe
Color-coded cells (green = bullish, red = bearish, gray = neutral)
Includes emojis for visual clarity
🔔 Buy/Sell Alerts:
On the active chart timeframe, buy and sell signals are plotted when the fast MA crosses above or below the slow MA. You can also enable TradingView alerts based on these events.
🧩 Customizable Inputs:
Fast MA period
Slow MA period
MA type (EMA or SMA)
🔧 Ideal for traders who want a quick snapshot of market structure across multiple timeframes and receive real-time crossover signals on their current chart.
StochRSI Context EngineThe StochRSI Context Engine is a premium, logic-driven indicator built to provide comprehensive intraday momentum context using multi-timeframe Stochastic RSI analysis. Rather than issuing direct buy or sell signals, the tool is designed to give traders enhanced clarity on trend posture, overbought/oversold conditions, volatility states, and potential momentum reversals. It combines multiple layers of signal processing to deliver an intelligent overview of market conditions in real time.
What it does:
The indicator performs a multi-timeframe evaluation of the Stochastic RSI, sampling values from four customizable timeframes (default: 5m, 15m, 1h, 4h). These values are blended and processed through a series of analytical engines to provide the following:
1. StochRSI Multi-Timeframe Engine
* Computes a smoothed Stochastic RSI value on each selected timeframe.
* Applies user-defined smoothing (SMA, EMA, RMA, or WMA).
* Aggregates these into an average (sRSIavg) for further analysis.
2. Trend and Volatility Engine
* Uses EMA stacking logic (8, 21, 50) to determine directional alignment.
* Calculates linear regression slope for directional bias.
* Assesses volatility using ATR relative to price.
* Derives a trendScore based on EMA alignment, price position, and slope strength.
3. Bias and Slope Analysis
* Measures fast/slow EMA slope differentials to detect bias direction and strength.
* Computes slope deltas and volatility-weighted stacking to score bias conditions.
* Outputs a classification such as strong bullish, moderate bearish, or neutral.
4. Dynamic OB/OS Zone Detection
* Adapts overbought and oversold thresholds based on volatility and trend regime.
* Adjusts the zone boundaries if in a trending or high-volatility environment.
5. Microzone Proximity Detection
* Tracks whether the average StochRSI is approaching key OB/OS thresholds.
* Flags conditions like “Near Overbought,” “Near Oversold,” or “Mid Range.”
6. Velocity and Acceleration Detection
* Measures how quickly StochRSI values are changing.
* Uses delta calculations to gauge the momentum’s thrust or decay.
* Classifies shifts in RSI movement (e.g., flat, slow, fast, or thrusting).
7. Range Expansion / Compression Engine
* Evaluates whether StochRSI values across timeframes are diverging or compressing.
* Identifies regime changes in momentum coherence.
8. Momentum Scoring System
* Calculates a composite score based on bias, slope strength, volatility, and range.
* Labels momentum phases from dormant to full-throttle.
9. Confluence Detection
* Tallies how many of the 4 timeframes are currently overbought or oversold.
* High confluence increases the probability of valid reversal or continuation zones.
10. Support and Resistance Zone Memory
* Tracks and plots previous areas where StochRSI bounced or rejected near zones.
* Stores and updates these zones over time, acting as momentum-based S/R levels.
* Includes a proximity check to cluster zones that are close in value.
11. Divergence Detection Engine
* Detects classic bullish or bearish divergence between price and the aggregated StochRSI.
* Draws lines to show divergence structure and triggers real-time alerts.
12. Smart Background Highlighting
* Shades the background based on whether current StochRSI is in an overbought, oversold, or
neutral zone.
13. Real-Time Dashboard
* Displays trend, bias, confluence count, velocity, divergence state, momentum score, and
more.
* Dynamically updates and is optimized for top-right screen positioning with compact
formatting.
14. Smart Alerts
* Issues alerts for divergence detection and high-confluence reversal conditions.
15. Real-Time Labels on Curves
* Shows the selected timeframes alongside each plotted StochRSI line to clarify source data.
What it’s based on:
* Stochastic RSI as the core input signal, providing normalized momentum across timeframes.
* EMA stacking logic, adapted from institutional trend-following models.
* Volatility normalization using ATR to adapt thresholds in high vs. low volatility environments.
* Slope forecasting using linear regression to infer directional conviction.
* Bias analysis modeled on a composite of EMA distance, alignment, and directional thrust.
* Support/resistance zone memory derived from repeated interaction with dynamic OB/OS thresholds.
* Divergence logic based on localized price and oscillator peaks/troughs.
* Multi-factor confidence scoring, aggregating up to 6 inputs to rate market clarity.
This script is for educational and informational purposes only. It does not generate trade signals or provide financial advice. It is not intended to be used as a standalone system for trading or investment decisions. Use at your own discretion. Always confirm with your broader strategy and risk management practices.
Simple Buy/Sell SignalsThe code works by continuously monitoring the relationship between two moving averages (MAs) on live price data — a fast MA (shorter period) and a slow MA (longer period). These MAs smooth out price action to help identify trends. Here's how it functions step-by-step:
Inputs: The user selects the MA type (SMA or EMA) and the lengths (periods) for the fast and slow MAs.
Calculation: The script calculates the chosen MAs using real-time closing prices.
Signal Logic: It detects a Buy signal when the fast MA crosses above the slow MA (crossover) and a Sell signal when the fast MA crosses below the slow MA (crossunder).
Plotting: When a signal occurs, the script plots a green "BUY" arrow below the candle or a red "SELL" arrow above it.
Alerts: It includes alert conditions so users can receive notifications when a buy or sell condition is met.
Premarket High/Low (Horizontal Rays)=== Script Description ===
This TradingView script automatically detects and displays the high and low prices
during the premarket session (04:00–09:30 Eastern Time) for the current trading day.
It draws horizontal rays that extend across the chart and labels them as "PM High" and "PM Low".
These markers are refreshed daily and only apply to today's session.
The script also provides full customization for:
- Line color, width, and style (solid, dotted, dashed)
- Label text color, background color, size, and style (left, right, up, down)
Time note: This script assumes data aligned with U.S. market hours.
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics -
Version: PineScript™ v6
📌 Description
The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making.
This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner.
🚀 Points of Innovation
Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator.
Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes.
Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength.
Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent.
Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics.
Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line.
🔧 Core Components
Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes.
Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move.
Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure.
Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic).
Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength.
🔥 Key Features
Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity.
Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum.
Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action.
Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions.
Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions.
Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states.
🎨 Visualization
Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction.
Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish).
Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability.
Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’).
📖 Usage Guidelines
Setting Categories
Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance.
Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal.
Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect.
Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier.
Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart.
Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header.
Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard.
✅ Best Use Cases
Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend.
Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements.
Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions.
Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity.
Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses.
Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets.
⚠️ Limitations
Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals.
Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line.
Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions.
Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance.
💡 What Makes This Unique
Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand.
Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions.
Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions.
🔬 How It Works
Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement.
Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance.
Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA.
Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent.
Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude.
Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring.
💡 Note:
The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
P1 & P2 Helper by Brighter DataThis script draws the current high & low on the chart for multiple timeframes in P1/P2 format: P1 is either the highest or lowest point of the timeframe, whichever came first. P2 is whichever came second.
For example, on the daily timeframe if the daily low is marked out as P1 and the daily high is P2, it means that the daily low was put in before the daily high. This mapping of highs/lows is used as support for the BD dashboard and its statistics.
Histogram Ichimoku Cloud📘 Description
This is a simplified version of the Ichimoku Cloud indicator. Instead of lines and clouds, it shows the trend using a histogram (colored bars). It helps you quickly see the direction of the market.
📈 How To Use
Green = Uptrend (good time to look for buy opportunities)
Red = Downtrend (good time to look for sell opportunities)
Gray = No clear trend (wait and watch)
Sunday OpenSunday Open – Weekly Open Levels
Description
The "Sunday Open" indicator automatically displays the market open levels for Sunday. These levels are often used by traders as potential support and resistance zones. The script requires no manual data input and works on any timeframe.
Functionality
- Displays the N most recent Sunday Open levels, including the current and previous ones.
- The color of the current level differs from the older ones, making it easier to identify on the chart.
- Lines can be customized by style, thickness, and label visibility.
- Alerts are triggered when the price crosses any Sunday Open level (either up or down).
User Settings
- Number of levels to display (1–100)
- Color for the current and past levels
- Line style: solid, dashed, dotted
Line thickness
- Display text labels on the chart
- Enable/disable alerts for price crossing
Useful For
- Quickly identifying key reference points at the beginning of the week
- Setting up trading scenarios around the open zone
- Receiving signals for breakouts or touches of the levels
Important !
All elements are created automatically—no manual drawing required.
If you want to create alerts for when the price crosses a Sunday Open level, you need to go to "Alerts" at the top of the screen and select "SO" in the "Condition" field.
Dynamic Volatility EnvelopeDynamic Volatility Envelope: Indicator Overview
The Dynamic Volatility Envelope is an advanced, multi-faceted technical indicator designed to provide a comprehensive view of market trends, volatility, and potential future price movements. It centers around a customizable linear regression line, enveloped by dynamically adjusting volatility bands. The indicator offers rich visual feedback through gradient coloring, candle heatmaps, a background volatility pulse, and an on-chart trend strength meter.
Core Calculation Mechanism
Linear Regression Core :
-A central linear regression line is calculated based on a user-defined source (e.g., close, hl2) and lookback period.
-The regression line can be optionally smoothed using an Exponential Moving Average (EMA) to reduce noise.
-The slope of this regression line is continuously calculated to determine the current trend direction and strength.
Volatility Channel :
-Dynamic bands are plotted above and below a central basis line. This basis is typically the calculated regression line but shifts to an EMA in Keltner mode.
-The width of these bands is determined by market volatility, using one of three user-selectable modes:
ATR Mode : Bandwidth is a multiple of the Average True Range (ATR).
Standard Deviation Mode : Bandwidth is a multiple of the Standard Deviation of the source data.
Keltner Mode (EMA-based ATR) : ATR-based bands are plotted around a central Keltner EMA line, offering a smoother channel.
The channel helps identify dynamic support and resistance levels and assess market volatility.
Future Projection :
The indicator can project the current regression line and its associated volatility bands into the future for a user-defined number of bars. This provides a visual guide for potential future price pathways based on current trend and volatility characteristics.
Candle Heatmap Coloring :
-Candle bodies and/or wicks/borders can be colored based on the price's position within the upper and lower volatility bands.
-Colors transition in a gradient from bearish (when price is near the lower band) through neutral (mid-channel) to bullish (when price is near the upper band), providing an intuitive visual cue of price action relative to the dynamic envelope.
Background Volatility Pulse :
The chart background color can be set to dynamically shift based on a ratio of short-term to long-term ATR. This creates a "pulse" effect, where the background subtly changes color to indicate rising or falling market volatility.
Trend Strength Meter :
An on-chart text label displays the current trend status (e.g., "Strong Bullish", "Neutral", "Bearish") based on the calculated slope of the regression line relative to user-defined thresholds for normal and strong trends.
Key Features & Components
-Dynamic Linear Regression Line: Core trend indicator with optional smoothing and slope-based gradient coloring.
-Multi-Mode Volatility Channel: Choose between ATR, Standard Deviation, or Keltner (EMA-based ATR) calculations for band width.
-Customizable Vertical Gradient Channel Fills: Visually distinct fills for upper and lower channel segments with user-defined top/bottom colors and gradient spread.
-Future Projection: Extrapolates regression line and volatility bands to forecast potential price paths.
-Price-Action Based Candle Heatmap: Intuitive candle coloring based on position within the volatility channel, with adjustable gradient midpoint.
-Volatility-Reactive Background Gradient: Subtle background color shifts to reflect changes in market volatility.
-On-Chart Trend Strength Meter: Clear textual display of current trend direction and strength.
-Extensive Visual Customization: Fine-tune colors, line styles, widths, and gradient aggressiveness for most visual elements.
-Comprehensive Tooltips: Detailed explanations for every input setting, ensuring ease of use and understanding.
Visual Elements Explained
Regression Line : The primary trend line. Its color dynamically changes (e.g., green for uptrend, red-pink for downtrend, neutral for flat) based on its slope, with smooth gradient transitions.
Volatility Channel :
Upper & Lower Bands : These lines form the outer boundaries of the envelope, acting as dynamic support and resistance levels.
Channel Fill : The area between the band center and the outer bands is filled with a vertical gradient. For example, the upper band fill might transition from a darker green near the center to a lighter green at the upper band.
Band Borders : The lines outlining the upper and lower bands, with customizable color and width.
Future Projection Lines & Fill :
Projected Regression Line : An extension of the current regression line into the future, typically styled differently (e.g., dashed).
Projected Channel Bands : Extensions of the upper and lower volatility bands.
Projected Area Fill : A semi-transparent fill between the projected upper and lower bands.
Candle Heatmap Coloring : When enabled, candles are colored based on their closing price's relative position within the channel. Bullish colors appear when price is in the upper part of the channel, bearish in the lower, and neutral in the middle. Users can choose to color the entire candle body or just the wicks and borders.
Background Volatility Pulse : The chart's background color subtly shifts (e.g., between a calm green and an agitated red-pink) to reflect the current volatility regime.
Trend Strength Meter : A text label (e.g., "TREND: STRONG BULLISH") positioned on the chart, providing an at-a-glance summary of the trend.
Configuration Options
Users can tailor the indicator extensively via the settings panel, with options logically grouped:
Core Analysis Engine : Adjust regression source data, lookback period, and EMA smoothing for the regression line.
Regression Line Visuals : Control visibility, line width, trend-based colors (uptrend, downtrend, flat), slope thresholds for trend definition, strong slope multiplier (for Trend Meter), and color gradient sharpness.
Volatility Channel Configuration : Select band calculation mode (ATR, StdDev, Keltner), set relevant periods and multipliers. Customize colors for vertical gradient fills (upper/lower, top/bottom), border line colors, widths, and the gradient spread factor for fills.
Future Projection Configuration : Toggle visibility, set projection length (number of bars), line style, and colors for projected regression and band areas.
Appearance & Candle Theme : Set default bull/bear candle colors, enable/disable candle heatmap, choose if body color matches heatmap, and configure heatmap gradient target colors (bull, neutral, bear) and the gradient's midpoint.
Background Volatility Pulse : Enable/disable the background effect and configure short/long ATR periods for the volatility calculation.
Trend Strength Meter : Enable/disable the meter, and choose its on-chart position and text size.
Interpretation Notes
-The Regression Line is the primary indicator of trend direction. Its slope and color provide immediate insight.
-The Volatility Bands serve as dynamic support and resistance zones. Price approaching or touching these bands may indicate potential turning points or breakouts. The width of the channel itself reflects market volatility – widening suggests increasing volatility, while narrowing suggests consolidation.
Future Projections are not predictions but rather an extension of current conditions. They can help visualize potential areas where price might interact with projected support/resistance if the current trend and volatility persist.
Candle Heatmap Coloring offers a quick visual assessment of where price is trading within the dynamic envelope, highlighting strength or weakness relative to the channel.
The Background Volatility Pulse gives a contextual feel for overall market agitation or calmness.
This indicator is designed to be a comprehensive analytical tool. Its signals and visualizations are best used in conjunction with other technical analysis techniques, price action study, and robust risk management practices. It is not intended as a standalone trading system.
Risk Disclaimer
Trading and investing in financial markets involve substantial risk of loss and is not suitable for every investor. The Dynamic Volatility Envelope indicator is provided for analytical and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose. The developers assume no liability for any financial losses incurred based on the use of this indicator.
ZenAlgo - DominatorThis indicator provides a structured multi-ticker overview of market momentum and relative strength by analyzing short-term price behavior across selected assets in comparison with broader crypto dominance and Bitcoin/ETH performance.
Ticker and Market Data Handling
The script accepts up to 9 user-defined symbols (tickers) along with BTCUSD and ETHUSD. For each symbol:
It retrieves the current price.
It also requests the daily opening price from the "D" timeframe to compute intraday percentage change.
For BTC, ETH, and dominance (sum of BTC, USDT, and USDC dominance), daily change is calculated using this same method.
This comparison enables tracking relative performance from the daily open, which provides meaningful insight into intraday strength or weakness among different assets.
Dominance Logic
The indicator aggregates dominance data from BTC , USDT , and USDC using TradingView’s CRYPTOCAP indices. This combined dominance is used as a reference in directional and status calculations. ETH dominance is also analyzed independently.
Changes in dominance are used to infer whether market attention is shifting toward Bitcoin/stablecoins (typically indicating risk-off sentiment) or away from them (typically risk-on behavior, benefiting altcoins).
Price Direction Estimation
The script estimates directional bias using an EMA-based deviation technique:
A short EMA (user-defined lookback , default 4 bars) is calculated.
The current close is compared to the EMA to assess directional bias.
Recent candle changes are also inspected to confirm a consistent short-term trend (e.g., 3 consecutive higher closes for "up").
A small threshold is used to avoid classifying flat movements as trends.
This directionality logic is applied separately to:
The selected ticker's price
BTC price
Combined dominance
This allows the script to contextualize the movement of each asset within broader market conditions.
Market Status Evaluation
A custom function analyzes ETH and BTC dominance trends along with their relative strength to define the overall market regime:
Altseason is identified when BTC dominance is declining, ETH dominance rising, and ETH outperforms BTC.
BTC Season occurs when BTC dominance is rising, ETH dominance falling, and BTC outperforms ETH.
If neither condition is met, the state is Neutral .
This classification is shown alongside each ticker's row in the table and helps traders assess whether market conditions favor Bitcoin, Ethereum, or altcoins in general.
Ticker Status Classification
Each ticker is analyzed independently using the earlier directional logic. Its status is then determined as follows:
Full Bull : Ticker is trending up while dominance is declining or BTC is also rising.
Bullish : Ticker is trending up but not supported by broader bullish context.
Bearish : Ticker is trending down but without broader confirmation.
Full Bear : Ticker is trending down while dominance rises or BTC falls.
Neutral : No strong directional bias or conflicting context.
This classification reflects short-term momentum and macro alignment and is color-coded in the results table.
Table Display and Plotting
A configurable table is shown on the chart, which:
Displays the name and status of each selected ticker.
Optionally includes BTC, ETH, and market state.
Uses color-coding for intuitive interpretation.
Additionally, price changes from the daily open are plotted for each selected ticker, BTC, ETH, and combined dominance. These values are also labeled directly on the chart.
Labeling and UX Enhancements
Labels next to the current candle display price and percent change for each active ticker and for BTC, ETH, and combined dominance.
Labels update each bar, and old labels are deleted to avoid clutter.
Ticker names are dynamically shortened by stripping exchange prefixes.
How to Use This Indicator
This tool helps traders:
Spot early rotations between Bitcoin and altcoins.
Identify intraday momentum leaders or laggards.
Monitor which tickers align with or diverge from broader market trends.
Detect possible sentiment shifts based on dominance trends.
It is best used on lower to mid timeframes (15m–4h) to capture intraday to short-term shifts. Users should cross-reference with longer-term trend tools or structural indicators when making directional decisions.
Interpretation of Values
% Change : Measures intraday move from daily open. Strong positive/negative values may indicate breakouts or reversals.
Status : Describes directional strength relative to market conditions.
Market State : Gives a general bias toward BTC dominance, ETH strength, or altcoin momentum.
Limitations & Considerations
The indicator does not analyze liquidity or volume directly.
All logic is based on short-term movements and may produce false signals in ranging or low-volume environments.
Dominance calculations rely on external CRYPTOCAP indices, which may differ from exchange-specific flows.
Added Value Over Other Free Tools
Unlike basic % change tables or price overlays, this indicator:
Integrates dominance-based macro context into ticker evaluation.
Dynamically classifies market regimes (BTC season / Altseason).
Uses multi-factor logic to determine ticker bias, avoiding single-metric interpretation.
Displays consolidated information in a table and chart overlays for rapid assessment.
DMI + StochRSI Trend SignalThis indicator combines the DMI and Stochastic indicators into one. If DI+ crosses over the DI- at the same time when the Stochastic RSI K is above the Stochastic RSI D, you will get a background color tint. It's probably a good time to go long.
Vice Versa for short.
VWAP + EMA Cross + MACD Signal + POC & Trailing Stop AlertThis indicator combines several key trading signals into one visual tool for intraday and swing trading:
VWAP (Volume Weighted Average Price): Plotted as an orange line to track fair value and intraday trend.
EMA 9/21 Crossovers: Plots BUY/SELL signals based on bullish or bearish EMA crossovers, shown with green and red labels.
MACD Crossovers: Displays MACD↑ and MACD↓ triangle markers to identify momentum shifts.
POC (Point of Control): User-defined static level (default: 56.52) plotted as a blue horizontal line to mark key support/resistance.
Trailing Stop Line: Dynamically trails from the recent high, with a customizable offset. Helps visualize stop-loss levels.
Built-in Alerts: Automatically triggers alerts for:
EMA + MACD crossover confluence (Strong Buy/Sell)
Price crossing above POC
Price falling below the trailing stop
This tool is designed to help traders spot confluence-based entries, momentum shifts, and logical exit zones — all in one overlay indicator.
AT - Directional Movement Index + ADX + Ploted KEYLEVELADX indicator with highs and lows, plots +DI and -DI, and marks the DI crossover.
The variables newhadx, newladx, and diradx are designed to be used by including this code in your own strategy script.