Market Volume Highlighter - Last 20 BarsTotal volume of market movers. Included AAPL, NVDA, GOOG, etc.
Volume
SuperTrade Ichimoku Cloud StrategyUnlike SuperTrade's Super Trend the Ichimoku Cloud Strategy is a trend-following system derived from the Ichimoku Kinko Hyo indicator. It helps identify market direction, momentum, and potential support/resistance zones. This strategy uses key components of the Ichimoku Cloud to determine bullish or bearish trends and executes trades accordingly.
🔍 Key Components Used
Conversion Line (Tenkan-sen) – short-term average (9-period Donchian midpoint by default)
Base Line (Kijun-sen) – medium-term average (26-period Donchian midpoint)
Leading Span A (Senkou Span A) – average of Conversion Line and Base Line, plotted forward by 26 periods.
Leading Span B (Senkou Span B) – 52-period Donchian midpoint, plotted forward by 26 periods.
Lagging Span (Chikou Span) – current close price, plotted backward by 26 periods (for visual reference only in this version).
The cloud (Kumo) is the area between Leading Span A and B, representing trend direction and potential support/resistance.
📈 Entry Rules (Buy Condition)
A long trade is entered when:
LeadLine1 > LeadLine2 → This implies a bullish cloud.
Close > LeadLine1 and Close > LeadLine2 → The price is trading above the cloud, confirming upward momentum.
This combination indicates a strong bullish trend, so the strategy enters a long position.
📉 Exit Rules (Sell Condition / Close Position)
The long trade is closed when:
LeadLine1 < LeadLine2 → This implies a bearish cloud.
Close < LeadLine1 and Close < LeadLine2 → The price has fallen below the cloud, signaling trend weakness or reversal.
This confirms a bearish trend, prompting the strategy to exit the long position.
✅ Must-Have Elements in This Strategy
Entry Logic – based on price position relative to the cloud and cloud direction.
Exit Logic – closes the position when price shifts to a bearish trend.
Overlay Enabled – plotted over price for visual confirmation of signals.
Dynamic Parameters – inputs for conversion/base/cloud lengths and displacement.
Visualization – plots all Ichimoku components including cloud fill for clarity.
No Shorting Logic Yet – this version only handles long trades; shorting can be added optionally.
No Stop-Loss or Take-Profit – trades are closed purely based on Ichimoku trend reversal.
NR4/NR7 IndicatorWhat It Does:
Detects NR4 = today's range smaller than last 3
Detects NR7 = today's range smaller than last 6
Plots coloured labels + background so you can spot ‘em at a glance
Custom Opening Range Breakout (IST)This indicator allows you to define your own Opening Range (OR) window based on Indian Standard Time (IST),
calculate breakout levels above and below the range with a custom percentage buffer,
and plot the OR and breakout levels clearly on your intraday charts.
RVOL Relative Volume – Intraday (v5 with Zones)RVOL Relative Volume – Intraday (v4)
Traffic light colour system allows Trade/No trade decision making at a glance!
Quickly spot the volume spikes that matter on your intraday charts
What it is
This indicator measures the current bar’s volume against its historical average for the same minute-of-day over the past N_ days. It helps you see at a glance whether today’s volume is below average, “cautionary,” or truly elevated—so you can focus only on the bars that matter for high-probability setups.
How it works
1.Historical buffer
Collects cumulative volume for each minute-of-day across the last N_ full trading days (plus the current session).
2.Relative Volume (rvol)
rvol = (volume so far this minute) / (average volume seen at this minute over prior N days).
3.Color coding
-Red (bar skipped) = rvol < 0.60 × average
-Yellow (caution) = 0.60 ≤ rvol < 1.25 × average
-Green (go) = rvol ≥ 1.25 × average
How to use
-Green bars are your actionable volume spikes—ideal for entries on breakouts, reversals, or key levels.
-Yellow bars flag mild pickup in activity—treat them as “watch and wait.”
-Red bars indicate low-interest periods; best to sit out until volume returns.
Inputs
Lookback Days (N) – how many prior full trading days to average (1–60).
DST Adjustment – ±1 if daylight-saving shift occurred last weekend (usually 0).
Display
Plots a histogram of rvol in its own pane.
Horizontal guides at 1.0× (average) and 2.0×.
Why it’s useful
Filters out noise during thin volume periods.
Highlights true “fuel injection” moments.
Works on any intraday timeframe (1 min–<1 day).
Equity Hedge AlertFind momentum stocks, and use options to hedge. Best in high volatility scenarios.
Alpha Breakout Dashboard™This script identifies intraday breakout trading opportunities on the Nifty (or any other instrument), using technical indicators like EMA, VWAP, and recent highs/lows, and displays clean buy/sell signals along with a top-right dashboard showing live trade status and Risk:Reward (RR).
Core Logic
1. Breakout Detection
A Bullish Breakout occurs when:
Price breaks above the highest high of the past N bars (excluding the current bar).
Price is above the 20 EMA and VWAP.
A Bearish Breakout occurs when:
Price breaks below the lowest low of the past N bars.
Price is below the 20 EMA and VWAP.
These conditions are configurable via inputs.
2. Trend Filter (Optional)
When enabled, long entries are only allowed if the price is above EMA and VWAP, and short entries if it's below.
This helps align trades with the dominant market trend.
3. Trade Entry & Tracking
Once a breakout is detected:
A Buy/Sell signal is plotted on the chart.
The script sets an entry price , a stoploss (with a buffer), and a target based on a fixed Risk:Reward Ratio (default 2:1).
The script keeps track of whether a long or short trade is currently active.
4. Live Risk:Reward Calculation
While in a trade:
The Live RR is updated on each candle.
RR is calculated dynamically using the latest close, stoploss, and target.
If no trade is active, RR shows “Waiting...”.
5. Dashboard Panel (Top-Right Corner)
Shows:
Current Trend: Bullish 🟢 / Bearish 🔴 / Neutral ⚪
Entry Price: Shows real-time entry or "Waiting..."
Live RR: Dynamic Risk:Reward ratio or "Waiting..."
6. Visuals
Signals: Clearly marked BUY (green label) or SELL (red label).
EMA & VWAP: Plotted for trend context.
No SL/TP lines: Chart remains clean.
7. Alerts
Alerts are triggered on new Buy/Sell signals.
Alert conditions are also defined for use in TradingView alert setup.
Customization Options
EMA Length
Breakout Lookback Bars
Stoploss Buffer (in points)
Risk:Reward Ratio
Trend Filter On/Off
Ideal Use
For intraday traders looking to catch strong breakouts in trending conditions.
Best used on 5min to 15min charts.
Can be paired with volume or momentum indicators.
CYCLE BY RiotWolftradingDescription of the "CYCLE" Indicator
The "CYCLE" indicator is a custom Pine Script v5 script for TradingView that visualizes cyclic patterns in price action, dividing the trading day into specific sessions and 90-minute quarters (Q1-Q4). It is designed to identify and display market phases (Accumulation, Manipulation, Distribution, and Continuation/Reversal) along with key support and resistance levels within those sessions. Additionally, it allows customization of boxes, lines, labels, and colors to suit user preferences.
Main Features
Cycle Phases:
Accumulation (1900-0100): Represents the phase where large operators accumulate positions.
Manipulation (0100-0700): Identifies potential manipulative moves to mislead retail traders.
Distribution (0700-1300): The phase where large operators distribute their positions.
Continuation/Reversal (1300-1900): Indicates whether the price continues the trend or reverses.
90-Minute Quarters (Q1-Q4):
Divides each 6-hour cycle (360 minutes) into four 90-minute quarters (Q1: 00:00-01:30, Q2: 01:30-03:00, Q3: 03:00-04:30, Q4: 04:30-06:00 UTC).
Each quarter is displayed with a colored box (Q1: light purple, Q2: light blue, Q3: light gray, Q4: light pink) and labels (defaulted to black).
Support and Resistance Visualization:
Draws boxes or lines (based on settings) showing the high and low levels of each session.
Optionally displays accumulated volume at the highs and lows within the boxes.
Daily Lines and Last 3 Boxes:
How to Use the Indicator
Step 1: Add the Indicator to TradingView
Open TradingView and select the chart where you want to apply the indicator (e.g., UMG9OOR on a 5-minute timeframe, as shown in the screenshot).
Go to the Pine Editor (at the bottom of the TradingView interface).
Copy and paste the provided code.
Click Compile and then Add to Chart.
Step 2: Configure the Indicator
Click on the indicator name on the chart ("CYCLE") and select Settings (or double-click the name).
Adjust the options based on your needs:
Cycle Phases: Enable/disable phases (Accumulation, Manipulation, Distribution, Continuation/Reversal) and adjust their time slots if needed.
90-Minute Quarters: Enable/disable quarters (Q1-Q4).
Step 3: Interpret the Indicator
Identify Cycle Phases:
Observe the red boxes indicating the phases (Accumulation, Manipulation, etc.).
The high and low levels within each phase are potential support/resistance zones.
If volume is enabled, pay attention to the accumulated volume at highs and lows, as it may indicate the strength of those levels.
Use the 90-Minute Quarters (Q1-Q4):
The colored boxes (Q1-Q4) divide the day into 90-minute segments.
Each quarter shows the price range (high and low) during that period.
Use these boxes to identify price patterns within each quarter, such as breakouts or consolidations.
The labels (Q1, Q2, etc.) help you track time and anticipate potential moves in the next quarter.
Analyze Support and Resistance:
The high and low levels of each phase/quarter act as support and resistance.
Daily lines (if enabled) show key levels from the previous day, useful for planning entries/exits.
The "last 3 boxes below price" (if enabled) highlight potential support levels the price might target.
Avoid Manipulation:
During the Manipulation phase (0100-0700), be cautious of sharp moves or false breakouts.
Use the high/low levels of this phase to identify potential traps (as explained in your first question about manipulation candles).
Step 4: Trading Strategy
Entries and Exits:
Support/Resistance: Use the high/low levels of phases and quarters to set entry or exit points.
For example, if the price bounces off a Q1 support level, consider a buy.
Breakouts: If the price breaks a high/low of a quarter (e.g., Q2), wait for confirmation to enter in the direction of the breakout.
Volume: If accumulated volume is high near a key level, that level may be more significant.
Risk Management:
Place stop-loss orders below lows (for buys) or above highs (for sells) identified by the indicator.
Avoid trading during the Manipulation phase unless you have a specific strategy to handle false breakouts.
Time Context:
Use the quarters (Q1-Q4) to plan your trades based on time. For example, if Q3 is typically volatile in your market, prepare for larger moves between 03:00-04:30 UTC.
Step 5: Adjustments and Testing
Test on Different Timeframes: The indicator is set for a 5-minute timeframe (as in the screenshot), but you can test it on other timeframes (e.g., 1-minute, 15-minute) by adjusting the time slots if needed.
Adjust Colors and Styles: If the default colors are not visible on your chart, change them for better clarity.
---
📌 1. **Accumulation: Strong Institutional Activity**
- During the **accumulation phase, we see **high volume: 82.773K, which suggests strong buying interest**, likely from institutional players.
- This sets the base for the following upward move in price.
---
📌 2. **Manipulation: False Breakout with Lower Volume**
- Later, there's a manipulation phase where price breaks above previous highs, but the volume (71.814K) is **lower than during accumulation**.
- This implies that buyers are not as aggressive as before—no real demandbehind the breakout.
- It’s likely a bull trap, where smart money is selling into the breakout to exit their positions.
---
### 📌 3. Distribution: Weakness and Lack of Demand
- The market enters a distribution phase, and volume drops even further (only 7.914K).
- Price struggles to go higher, and you start seeing rejections at the top.
- This shows that demand is drying up, and smart money is offloading positions**—not accumulating anymore.
---
### 💡 Why Take the Short Here?
- Volume is not increasing with new highs—showing weak demand**.
- The manipulation volume is weaker than the accumulation volume, confirming the breakout was likely false.
- Structure starts to break down (Q levels falling), which confirms weakness.
- This creates a high-probability short setup:
- **Entry:** after confirmation of distribution and structural breakdown.
- **Stop loss:** above the manipulation high.
- **Target:** down toward previous lows or value zones.
---
### ✅ Conclusion
Since the manipulation volume failed to exceed the accumulation volume, the breakout lacked real strength. Combined with decreasing volume in the distribution phase, this indicates fading demand and supply taking control—which justifies entering a short position.
Opening Range High/Low with VWAP and EMAsopenrange high low, and the range adjusts as day progresses, VWap with Ema 9 @ chart time frame, 5min and 15mins, cross over of ema and vwap can be used as guide for intraday trades
Global M2 Money Supply Top20 + Offset & WaveThe M2 Top20 is a global aggregation of the M2 money supply from the 20 largest economies in the world , providing a comprehensive view of the total liquidity in the global financial system. It is expressed in trillions of USD.
This script calculates and visualizes the M2 Money Supply of the Top 20 Global Economies, adjusted to various timeframes (4H, 1D, 1W, 1M) with customizable offset adjustments (in days) from -1000 days to +1000 days. This indicator includes data from the Americas, Europe, Africa, and the Asia Middle East , offering a diverse and balanced representation of major economic regions. The M2 of each country has been converted to USD.
Additionally, the user can set a minimum and maximum offset to create a wave around the main offset and expand the comparison.
Combining these options, this indicator enables users to visualize a range of the global money supply, making it useful for market analysis, economic forecasting, and understanding macroeconomic trends. This indicator is particularly valuable for traders and analysts interested in understanding the dynamics of global monetary systems and their potential impact on financial markets.
Key Features:
Global M2 Money Supply calculation from the Top 20 Economies.
Adjustable Offset: Adjust the offset to align the indicator with the best bar. Adjustment in days, usable on different timeframes (1D, 1W, 4H, 1M).
Wave Projection: Displays a "probability cloud"—a smoothed area that shows the probable path of Bitcoin, derived from shifts in global liquidity.
Min/Max Offset Adjustments: Customizable offsets allow you to determine the range of future windows, helping to shape the wave and better identify liquidity-driven turning points.
Use Cases:
Economic Forecasting: Identify trends in global money supply and their potential market impact (e.g., historically leads Bitcoin price by +/- 78 days to +/-108 days).
Market Analysis: Track the growth or contraction of money supply across key economies.
Macro-Economic Analysis: Understand the relationship between monetary policies and market performance.
How to use:
Add the indicator to your chart.
Set the timeframe to 1D to customize the offset.
Set the Offset (in days).
Set the Offset Range Minimum and Maximum.
Show/Hide the Range Wave
.
Use offset = 0 to have the indicator align directly with the current data, without any shift, providing a baseline for comparison with the most recent market conditions.
Countries included in the M2 Top20:
China (CN), Japan (JP), South Korea (KR), Hong Kong (HK), Taiwan (TW), India (IN), Saudi Arabia (SA), Thailand (TH), Vietnam (VN), United Arab Emirates (AE), Malawi (MW) – Africa, United States (US), Canada (CA), Brazil (BR), Mexico (MX), Eurozone (EU), United Kingdom (GB), Russia (RU), Poland (PL), Switzerland (CH).
These countries were selected from the ranking of the World Economy Indicator of Trading View .
Volumen Mejorado con EficienciaThis indicator displays each candle's volume in an enhanced visual form, combining the amount of volume with the efficiency of the price movement.
Each volume bar changes its color intensity based on:
Higher efficiency (large price movement with low volume) → stronger color.
Lower efficiency (high volume with little price movement) → weaker color.
Additionally:
Green: Bullish candles (close > open).
Red: Bearish candles (close < open).
The color reflects not only the volume but also how "easily" the price moved.
The efficiency calculation is based on the actual body movement of the candle (abs(close - open)) divided by the total volume, dynamically adjusted to the maximum efficiency over the last N candles (configurable).
Interpretation:
Intensely green or red volume bars: clean and efficient movements (low resistance).
Pale bars: market absorption or indecision (high volume but little price movement).
Configurable parameter:
Efficiency period: number of candles used to normalise the maximum efficiency.
ETH Aggregated Spot Volume ProfileThis script creates a volume profile indicator using aggregated ETH spot volume across major crypto exchanges. It visualizes where trading activity is concentrated in a given price range, highlights the Point of Control (POC), and defines the Value Area, helping traders identify key support and resistance zones.
1. Exchange Aggregation: Pulls ETH spot volume from 9 major exchanges:
Binance, Coinbase, Kraken, Bitfinex, Bitstamp, KuCoin, Gate.io, OKX, Huobi.
2. Customizable Inputs:
Number of Bars: Historical bars to analyze (default: 150).
Row Size: Number of price bins (volume profile rows).
Value Area Volume %: Percentage of total volume to include in the Value Area (default: 70%).
Styling options for volume bars and the POC line.
Ideal for traders who want to:
See where the most ETH spot trading volume occurred in a given range.
Identify high-interest price zones.
Use volume-at-price analysis for smarter entries/exits.
BTC/ETH/SOL Spot Aggregated Volume + EMAThe purpose of this indicator is to provide a more comprehensive view of BTC/ETH/SOL spot market activity by combining volume data from several sources.
1. Fetches and aggregates spot volume data for your chosen asset from the following exchanges:
Binance, Coinbase, Kraken, Bitfinex, Bitstamp, KuCoin, Gate.io, OKX, Huobi
2. Calculates the EMA on the aggregated volume to smooth out the data and identify volume trends.
SETTINGS
You can choose in your settings which Asset's aggreagated volume you want to see (BTC/ETH/SOL)
You can choose the period based on which the EMA is calculated.
This indicator is particularly useful for traders who want a broader view of real BTC/ETH/SOL spot market activity, rather than relying on a single exchange's data, which might be misleading or incomplete. By averaging across major exchanges, the indicator helps reduce noise and gives a more accurate picture of volume trends.
Basic FVG Detector - RacesTradesAs the title suggests - nice simple FVG detector - Created by RaceTrades, follow on X
Multi-Indicator Swing [TIAMATCRYPTO]This strategy uses a combination of seven powerful technical indicators to identify potential buy and sell signals for swing trading. By requiring confirmation from multiple indicators, the strategy aims to filter out false signals and capture meaningful price movements.
Indicators Used
EMA Crossover - Fast and slow exponential moving averages to identify trend direction
MACD - Momentum indicator showing the relationship between two moving averages
RSI - Measures speed and change of price movements to identify overbought/oversold conditions
Parabolic SAR - Identifies potential reversal points in price movement
Supertrend - Combines trend and volatility to generate clear buy/sell signals
ADX - Measures trend strength to filter out low-conviction signals
Liquidity Delta - Analyzes bid/ask volume imbalances to detect potential market direction
Usage Recommendations
Timeframe Selection: This strategy works best on 1-hour to daily timeframes for swing trading
Market Application: Most effective in trending markets with clear directional bias
Optimization: Test different indicator combinations to find what works best for specific markets
Risk Management: Consider adding stop-loss and take-profit levels based on your risk tolerance
Notes
The strategy uses a clean interface that displays only buy/sell signals for clearer chart analysis
An information panel shows active indicators and testing period
All calculations are performed even for disabled indicators but they won't affect signal generation
The backtesting period can be adjusted according to your analysis needs
This multi-indicator approach to swing trading aims to provide high-quality signals by requiring confirmation from multiple technical perspectives, potentially reducing false signals and improving overall trading results.
Wyckoff Advanced Swing Strategy by TIAMATCRYPTOStrategy Overview
This custom TradingView strategy combines four powerful trading methodologies - Wyckoff Market Cycles, Price Map Profiling, Mean Reversion, and Trend Following - into a comprehensive swing trading system. It provides extensive customization options and can be tailored for medium to long-term trading positions.
Key Components
1. Wyckoff Analysis
This component focuses on identifying market cycle phases as described by Richard D. Wyckoff:
Accumulation Phase: Identifies periods of smart money accumulation with above-average volume and falling price highs
Markup Phase: Detects strong uptrends with increasing prices supported by volume
Distribution Phase: Recognizes when smart money begins to distribute positions near market tops
Markdown Phase: Identifies downtrends when institutional investors are exiting positions
Special Formations: Detects "spring" patterns (false breakdowns followed by rapid reversals) and "upthrust" patterns (false breakouts)
2. Price Map Profile
Implements a simplified version of Market Profile / Volume Profile concepts:
Calculates Point of Control (POC) - the price level with the highest theoretical activity
Defines Value Area High (VAH) and Value Area Low (VAL) to establish the range where most price action occurs
Visual representation of these key levels to identify potential support and resistance zones
3. Mean Reversion
Identifies potential reversal points when price moves to extremes:
Uses Bollinger Bands to define overbought and oversold price zones
Incorporates RSI divergence to confirm potential reversals
Requires multiple confirmation signals to avoid false entries in strong trends
Employs pattern recognition for higher probability mean reversion trade setups
4. Trend Following
Captures medium to long-term directional price movements:
Utilizes multiple moving averages (9, 21, 50, 200 EMAs) to confirm trend direction and strength
MACD analysis for momentum confirmation and trend intensity
Higher timeframe trend alignment through recent price structure analysis
Requires clear higher highs/higher lows (or lower highs/lower lows) for trade confirmation
Advanced Features
Risk Management
Optional automatic Take Profit and Stop Loss based on ATR (Average True Range)
Trailing stop functionality that adjusts to market volatility
Position sizing as a percentage of equity for proper risk management
Multiple exit strategies based on time, price, or indicator signals
Time-Based Filters
Customizable date range for backtesting historical performance
Trading day filters to avoid entering positions on less favorable days (Fridays/Mondays)
Minimum and maximum holding periods to match swing trading timeframes
Smart exit timing based on market conditions and holding duration
Signal Optimization
Combined signal approach requiring confirmation from multiple systems
Candlestick pattern analysis for enhanced entry timing
RSI-based position exit rules to capture profits at overbought/oversold conditions
Advanced filtering to reduce false signals and avoid low-probability setups
Practical Applications
This strategy is designed for swing traders who:
Hold positions for several days to weeks
Prefer to analyze multiple factors before entering trades
Want to align with institutional money flow through Wyckoff principles
Seek a balance between trend-following and reversal opportunities
Require flexible risk management options
The system works best on daily timeframes for equities, forex, commodities, and cryptocurrency markets with sufficient liquidity. It can be used as a standalone trading system or as a confirmation tool alongside other analysis methods.
Strategy Parameters
All major components can be enabled or disabled independently:
Wyckoff Analysis
Price Map Profiling
Mean Reversion
Trend Following
Risk parameters, timeframes, and technical indicators can be extensively customized to match individual trading preferences, market conditions, and risk tolerance.
BTC Price-Volume Efficiency Z-Score (PVER-Z)Overview:
This PVER-Z Score measures Bitcoin’s price movement efficiency relative to trading volume, normalized using a Z-Score over a long-term 200-day period.
It highlights statistically rare inefficiencies, helping investors spot extreme accumulation and distribution zones for systematic SDCA strategies.
Concept:
- Measures how efficiently price has moved relative to the volume that supported it over a long historical window (Default 200 days) but can be adjustable.
- It compares cumulative price changes vs cumulative volume flow.
- Then normalizes those inefficiencies using Z-Score statistics.
How It Works:
1. Calculates the absolute daily price change divided by volume (price-volume efficiency ratio).
2. Applies EMA smoothing to remove noisy fluctuations.
3. Normalizes the result into a Z-Score to detect statistically significant outliers.
4. Plots dynamic heatmap colors as the efficiency score moves through different deviation zones.
5. Background fills appear when the Z-Score moves beyond ±2 to ±3 SD, signaling rare macro opportunities.
Why is Bitcoin price rising while PVER-Z is falling toward green zone?
1. PVER-Z is not just "price" — it's price change relative to volume. PVER-Z measures how efficient the price movement is relative to volume. It's not "price going up" or "price going down" directly. It's how unusual or inefficient the price versus volume relationship is, compared to its historical average.
2. A rising Bitcoin price + weak efficiency = PVER-Z falls.
If Bitcoin rises but volume is super strong (normal buying volume), no problem, the PVER-Z stays normal. If Bitcoin rises but with very weak volume support, PVER-Z falls.
***Usage Notes***:
- Best used on the daily timeframe or higher.
- When the Z-Score enters the green zone (-2 to -3 SD), it signals a historically rare accumulation zone — favoring long-term buying for SDCA.
- When the Z-Score enters the red zone (+2 to +3 SD), it signals overextended distribution — caution recommended.
- Designed strictly for mean-reversion analysis, no trend-following signals.
- The red zone on a proper Z chart would be -2SD to -3SD and +2SD to +3SD for the green zone. At the time of publishing I do not know how to adjust the values on the indicator itself. The red zone at -2SD is actually +2 Standard Deviations on a Z Score SD Chart. (overbought zone).
- Your green zone at +2SD is actually -2SD Standard Deviations (oversold zone).
- Built manually with no reliance on built-in indicators
- Designed for Bitcoin on the 1D, 3D, or Weekly timeframes. NOT for intraday trading.
- DO NOT SOELY RELY ON THIS INDICATOR FOR YOUR LONG TERM VALUATION. I AM NOT RESPONSIBLE FOR YOUR FINANICAL ASSETS.
Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description
Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility.
It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods.
🧠 What it does:
This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on:
Trend Strength (via Perry Kaufman's Efficiency Ratio)
Market Volatility (via Tushar Chande's Volatility Ratio)
It reacts faster when the market is trending strongly and/or highly volatile,
and it smooths out and slows down when the market is choppy or calm.
🔍 How it works (step-by-step):
1. User Inputs:
length: (default 14)
How many bars to look back for calculations.
fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1))
slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1))
(These are used to control how fast/slow the KAMA can react.)
2. Calculate Trendiness — Kaufman Efficiency Ratio (ER):
Net Change = Absolute difference between current close and close from length bars ago.
Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window.
Efficiency Ratio (ER) = Net Change divided by Sum of Changes.
✅ If ER is close to 1 → Smooth, trending market.
✅ If ER is close to 0 → Choppy, sideways market.
3. Calculate Bumpiness — Volatility Ratio (VR):
Short-Term Volatility = Standard deviation of close over length.
Long-Term Volatility = Standard deviation of close over length * 2.
Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility.
✅ If VR is >1 → Market is becoming more volatile recently.
✅ If VR is <1 → Market is calming down.
4. Create the Hybrid Alpha:
Multiply ER × VR.
Then square the result (math.pow(..., 2)).
This hybrid alpha decides how aggressive the MA should be based on both trend and volatility.
If ER and VR are both strong → big alpha → fast movement.
If ER and/or VR are weak → small alpha → slow movement.
5. Calculate the Final Adaptive Smoothing Constant (hybridSC):
hybridSC = slowSC + hybridAlpha × (fastSC - slowSC)
This smoothly interpolates between the slowest and fastest smoothing depending on market conditions.
6. Calculate and Plot the Adaptive MA:
The moving average is manually calculated:
hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA )
It behaves like an EMA but with dynamic smoothing, not a fixed alpha.
✅ If hybridSC is high → MA hugs the price closely.
✅ If hybridSC is low → MA stays smooth and resists noise.
Finally, it plots this Adaptive MA on the chart in blue color.
📊 Visual Summary
Market Type What Happens to GAMA
Trending hard + volatile Follows price quickly
Trending hard + calm Follows steadily but carefully
Sideways + volatile Reacts carefully (won't chase noise)
Sideways + calm Smooths heavily (avoids fakeouts)
✨ Main Strengths:
Adapts automatically without you tuning settings manually every time market changes.
Responds smartly to both trend quality (ER) and market energy (VR).
Reduces lag during real moves.
Filters out false signals during choppy mess.
🧪 Key Innovation compared to normal MAs:
Traditional MA Gabriel's Adaptive MA
Same smoothing every bar Dynamic smoothing every bar
Slow during fast moves Adapts fast during real moves
No understanding of volatility or trendiness Full market sensitivity
⚡ **Simple One-Line Description:**
"Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
Multi-Day VWAP, current session only)Variation on multi day vwap, where you can choose to display 1, 2 and 3 day vwap, but only plot the current session. So each session has all 3 plots. This is especially useful for backtesting purposes. St. deviation bands included as usual.
Theonator Bank Volume Entry & Exit v2This is the best of the best of the best idnicators for sniping the big boys and aboslutely stealing cash from the other retail brokeys, just follow it on like silver or sum and it will actully blow ur mind to pieces
Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0
This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom.
The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy.
This is an entry strategy that tries to find entries close to "the dip".
A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals.
This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions.
Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries.
Happy trading!
PumpC Opening Range Breakout (ORB) 5min Range📄 PumpC ORB 5-Minute Opening Range Breakout Indicator
✨ Overview
The PumpC ORB 5-Minute Opening Range Breakout indicator captures early session price action by tracking the high, low, and open of a defined 5-minute window at market open (customized for Futures or Stocks).
It plots breakout levels, extension targets, average range calculations, volume tracking, and provides visual and table-based data summaries.
This indicator is designed for traders seeking a complete, clean visualization of Opening Range Breakouts (ORB) with flexible customization.
⚙️ Main Features
Opening Range Box (ORB Box) Draws a box around the high and low of the first 5-minute session (8:30–8:35 ET for Futures, 9:30–9:35 ET for Stocks). Box extends from the session open to the session close (4:00 PM ET). Option to enable/disable historical boxes. Box color and opacity are customizable. Core ORB Levels Open Level: Plots the open price of the 5-minute ORB window. ORB Levels: Plots breakout levels at multiples: +0.5x the range +1.5x the range (customizable factor) Each level has independent color settings and visibility toggles. Option to show or hide historic extension levels. Table Display Compact table in the top-right corner showing: ORB ATR (average range) ORB ATR in ticks Today's ORB range ORB Volume ATR (average volume during ORB) Today's ORB Volume Volume is formatted automatically into "K" (thousands) or "M" (millions) for readability. Background Highlights After the ORB window closes: Blue highlight if today's ORB range is greater than the 10-day ATR average. Orange highlight if today's ORB range is smaller than the 10-day ATR average. Helps quickly assess relative strength or weakness compared to historical behavior. Alerts Breakout Confirmations: Fires when price closes above ORB High or below ORB Low. Fallout Traps: Alerts when price wick crosses ORB High/Low but closes back inside the range. Alerts use clean titles and simple messages for easy identification.
🔧 Inputs and Customization
Mode Toggle: Choose between Futures (8:30 ET open) or Stocks (9:30 ET open). Show/Hide Labels: Control label visibility for ORB and extension levels. Line Width Control: Customize thickness for ORB lines and extension levels. ORB Level Level Visibility: Independently enable or disable each extension line. Table Appearance: Customize table background color, font color, and padding. ORB Box Settings: Customize box color and control whether historical boxes are drawn.
📚 How to Use
Select Mode: Choose Futures or Stocks depending on your instrument. Observe the Opening Range: Focus on the ORB High and ORB Low during the first 5 minutes after the open. Monitor Breakouts: Breakout alerts will fire when price closes outside the ORB range, signaling potential continuation. Watch for Fallout Traps: Fallout alerts signal when price briefly wicks above/below but closes back inside the ORB range. Use Table Metrics: Instantly compare today's ORB range and volume versus historical averages to assess session strength or weakness.
🛡️ Notes
Best used on the 1-minute or 5-minute chart for intraday trading. Ensure your TradingView chart time zone is set to New York for correct functioning. Alerts must be manually configured after adding the indicator to your chart.