HiLoMAHiLoMA (High/Low Moving Average) was designed specifically for calculating moving average boundries similar to Bollinger Bands, but is derived from the highest and lowest prices of an asset, not just the closing price. The timeframe is configurable and the study displays arrows where buys (below) and sells (above) should take place.
On exchanges with low or discounted fees, the study does excessively well at scalping. Backtesting, in general, shows this study to be very robust in any market conditions.
The alert conditions are clearly identified as BUY ASSET and SELL ASSET for automated trading.
Buys only occur when the entire spread is below the momentum line.
Sells only take place when the entire spread is above the momentum line.
When the momentum line cuts through the spread, any potentional buys/sells are ignored as these are considered weak.
Be sure your calculate your momentum on the basis of your candlestick timeframe. If you are using 3 minutes candlesticks and you want a 24 hour momentum, you need to set your momentum to 480. This holds true for all timeframes.
Sep 24
Release Notes: Seperated buys/sells where spread crosses momentum.
Cyan (lighter blue) arrows are buy/sell signals that disregard momentum.
Buys/Sells that honour momentum are now labeled MOMBUY ASSET and MOMSELL ASSET.
Buys/Sells that disregard momentum are now BUY ASSET and SELL ASSET accordingly.
Oct 4
Release Notes: Momentum is now a band with an upper and lower boundry. Buys and sells must now be completely above the band or below the band respectively. The effect is to produce stronger signals for momentum precomditional trades.
Komut dosyalarını "Buy sell" için ara
Sell / Buy RatesThis script finds sell / buy rates and adds its linear regression to the chart. its aim is finding buying and selling power, then you can try to find trend reversals. Also you can find divergences, it's very important signal for trend reversal.
Linear regression is a basic and commonly used type of predictive analysis.
if you choose lower periods then it will be more sensitive. I choose 34 as it's one of fibonnaci number.
If you find my works useful, please consider a donation
BTC: 16XRqyS3Vgh1knAU1tCcruqhUrVm4QWWmR
Gunbot Machine Gun (trial version)Hello fellow Gunbotters, you have requested and I have delivered. Here is the trial version for Gunbot Machine Gun strategy.
Note:
1. This is the trial version so the customization settings are locked, subscribe to unlock features.
2. Green triangles = buy signals, Red triangles = sell signals.
3. Both buy and sell alerts are set-up so you can create alerts easily.
This is how the Gunbot Machine Gun works: I have 200 slots for alerts in Tradingview. I use all of those slots to set buy and sell alerts on BTC pairs. I have volatility filter in my script so the Machine Gun will only start firing out rounds (Buy alerts) when the volatility becomes high. Tradingview sends email to gmail. Gunbot waits for the email, once it reads it Gunbot will action the email (buy/sell depending on the message). Gunbot buys the coin based on email message received from Tradingview. It will be rapid fire, accumulating buys while coin is pumping up. Then when the dust settles and momentum starts dying, the script will throw a hand grenade (pink triangles), send a sell signal/email then Gunbot reads that email and executes the sell all trade.
Buys early during pumps. Finds coins that will pump soon. Sells at peak.
Legend:
Green triangles = buy signals
Pink triangles = sell signals
Note:
During period of low volatility there will rarely be any buy signals. The sell signals during this time is irrelevant (can only sell after you bought). But once high volatility is detected the script gets ready to activate. Then it starts sending buy signals close and during the pumps. Sells at peak.
Works on most coins and stocks.
Gunbot Machine GunGunbot Machine Gun Strategy
This is how the Gunbot Machine Gun works: I have 200 slots for alerts in Tradingview. I use all of those slots to set buy and sell alerts on BTC pairs. I have volatility filter in my script so the Machine Gun will only start firing out rounds (Buy alerts) when the volatility becomes high. Tradingview sends email to gmail. Gunbot waits for the email, once it reads it Gunbot will action the email (buy/sell depending on the message). Gunbot buys the coin based on email message received from Tradingview. It will be rapid fire, accumulating buys while coin is pumping up. Then when the dust settles and momentum starts dying, the script will throw a hand grenade (pink triangles), send a sell signal/email then Gunbot reads that email and executes the sell all trade.
Buys early during pumps. Finds coins that will pump soon. Sells at peak.
Legend:
Green triangles = buy signals
Pink triangles = sell signals
Note:
During period of low volatility there will rarely be any buy signals. The sell signals during this time is irrelevant (can only sell after you bought). But once high volatility is detected the script gets ready to activate. Then it starts sending buy signals close and during the pumps. Sells at peak.
Works on most coins and stocks.
Color CandlesUses 6 most common indicators to color candles when they give buy/sell signals.
Use line view to see candle colors.
Purple = 6 buy signals
Teal = 5 buy signals
Navy = 4 buy signals
Lime = 3 buy signals
Green = 2 buy signals
Pale Green = 1 Buy signal
White = neutral
Gray = 1 sell signal
Yellow = 2 sell signals
Orange = 3 sell signals
Red = 4 sell signals
Firebrick = 5 sell signals
Black = 6 sell signals
Parabolic SAR calculated as .02, .02, .2. Traditional Buy/Sell. Green/Red Dots.
Bollinger Band calculated as 20, 1. Buy/Sell when above or below band. Aqua filled band.
MACD calculated with emas 12, 26, 9. Traditional MACD/Signal cross Buy/Sell. Filled Blue/Orange band.
RSI length 14. Traditional Buy/Sell below 30 and above 70. Green/Yellow/Red line below price.
ADX/DI len 14. Traditional crossover Buy/Sell. Filled Lime/Green above price.
Stochastic 14/3/3. Traditional 20/80 Buy/Sell. Filled teal/orange above price.
NGRN MACD-X & RSI v5MACD-X, RSI & Volume Indicator & Alerts Study - Version 5
Overview
This study and it's associated strategy were modeled after the famous Philakone described algorithms on his now defunct instructional video series.
This indicator allows for full customisation of parameters and interaction between three indicators that allow users to shape their trading methods to their desired goals.
This associated strategy also allows users to backtest the study alerts script and find the best settings towards that end.
MACD + RSI + VOLUME - are of the most powerful and widely usded indicators, MACD/Histogram crosses, coupled with RSI & Volume increases/decreases will detects areas of deeply oversold / overbought and buys/sells on the reversal
Features
Full customisation - All parameters are open for customising to allow the trader to build their own strategy and adapt from market to market.
Clean/Simple UI - Facilitating ease of use.
Enable Buying OR Selling, - or have them both active at the same time.
Toggle off and on ALTERNATING Buy and Sell feature (pyramiding) - to allow for consecutive DCA style buys or SCALING out of an entry (partial sell).
Customizable Stop-Loss plot - to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location. See settings screenshot.
Toggle Auto Stop-Loss sell option - to enable users choose whether or not to automatically issue a sell signal when close crosses stop loss plot, or choose to toggle off if not profitable.
Customizable Take-Profit plot - to enable users to create a TAKE-PROFIT alert option or other alert(s) based on the plot location.
Study and associated Strategy - to use the TradingView ‘Strategy Tester’ back-testing features to find the best alert settings for specific coins in bear, bull and sideways markets.
Changes Version 5
Added STOP-LOSS time-out period where users may specify a duration of trading pause time after a stop-loss has been triggered. A value of zero disables the feature. Time out start is indicated by a red flag icon and resumption is indicated with a green flag.
Settings
SCREENSHOT LINKS:
BUY SETTINGS: prntscr.com
SELL SETTINGS: prntscr.com
Access
For a 4 DAYS TRAIL, sign up as an Explorer subscriber @ Patreon page: www.patreon.com
Full Access is 0.25 ETH , one time fee for LIFETIME access to the STUDY indicator, STRATEGY and future updates as well as support and SETTINGS for various markets on the Binance Exchange.
NGRN MACD-X & RSI v4MACD-X, RSI & Volume Indicator & Alerts Study - Version 4
Overview
This study and it's associated strategy were modeled after the famous Philakone described algorithms on his now defunct instructional video series.
This indicator allows for full customisation of parameters and interaction between three indicators that allow users to shape their trading methods to their desired goals.
This associated strategy also allows users to backtest the study alerts script and find the best settings towards that end.
MACD + RSI + VOLUME - are of the most powerful and widely usded indicators, MACD/Histogram crosses, coupled with RSI & Volume increases/decreases will detects areas of deeply oversold / overbought and buys/sells on the reversal
Features
Full customisation - All parameters are open for customising to allow the trader to build their own strategy and adapt from market to market.
Clean/Simple UI - Facilitating ease of use.
Enable Buying OR Selling, - or have them both active at the same time.
Toggle off and on ALTERNATING Buy and Sell feature (pyramiding) - to allow for consecutive DCA style buys or SCALING out of an entry (partial sell).
Customizable Stop-Loss plot - to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location. See settings screenshot.
Toggle Auto Stop-Loss sell option - to enable users choose whether or not to automatically issue a sell signal when close crosses stop loss plot, or choose to toggle off if not profitable.
Customizable Take-Profit plot - to enable users to create a TAKE-PROFIT alert option or other alert(s) based on the plot location.
Study and associated Strategy - to use the TradingView ‘Strategy Tester’ back-testing features to find the best alert settings for specific coins in bear, bull and sideways markets.
Changes Version 4
Improved STOP-LOSS plot draw (red line).
Added the option to automatically sell when stop-loss cross triggered or have the option disabled, in the event a better profit can be achieved.
Added new TAKE-PROFIT plot (aqua line) to visually guide users where to place the TAKE-PROFIT parameter as well as give users options to create alerts based on the TAKE-PROFIT plot.
Access
Full Access is 0.1 ETH , one time fee for LIFETIME access to the STUDY indicator, STRATEGY and future updates as well as support and SETTINGS for various markets on the Binance Exchange.
Settings
SCREENSHOT LINKS:
BUY SETTINGS: prntscr.com
SELL SETTINGS: prntscr.com
CryptogramTR with OPEN CODEIndicator is obtained by importing RSI(14) into HULL moving average source with 2 different periods, as one is long period and the other is short.
When green line (short period) cross upward the red line (long period) , this is a BUY; vice versa it is a SELL.
When HMA Short Period is set to 1 (one), yielding line is absolutely the same line of RSI (14). You can change it into 8(eight) preferably.
İndikatör, RSI(14) indikatörünün, hull hareketli ortalamasının kod kaynağı olarak atanması ile elde edilmiştir. Uzun ve kısa olmak üzere 2 ayrı periyot kullanılmıştır.
Yeşil çizgi yani kısa periyotlu çizgi, kırmızı yani uzun periyotlu olanı yukarı keserse AL, tersi durum SAT olarak düşünülmelidir.
Hull Kısa Periyodu 1 iken oluşan yeşil çizgi, RSI(14) indikatörünü vermektedir. Kısa periyot olarak tercihinize göre bu değeri 8 olarak da kullanabilirsiniz.
NGRN MACD-X & RSI v3.1 MACD-X, RSI & Volume Indicator & Alerts Study - Version 3.1
Overview
This study and it's associated strategy were modeled after the famous Philakone described algorithms on his now defunct instructional video series.
This indicator allows for full customisation of parameters and interaction between three indicators that allow users to shape their trading methods to their desired goals.
This associated strategy also allows users to backtest the study alerts script and find the best settings towards that end.
MACD + RSI + VOLUME - are of the most powerful and widely usded indicators, MACD/Histogram crosses, coupled with RSI & Volume increases/decreases will detects areas of deeply oversold / overbought and buys/sells on the reversal
Features
Full customisation - All parameters are open for customising to allow the trader to build their own strategy and adapt from market to market.
Clean/Simple UI - Facilitating ease of use.
Enable Buying or Selling, - or have them both active at the same time.
Toggle off and on ALTERNATING Buy and Sell feature (pyramiding) - to allow for consecutive DOLLAR COST AVERAGING style buys or SCALING out of an entry (partial sell).
Customizable Stop-Loss plot - to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location. See settings screenshot.
Study and associated Strategy - to use the TradingView ‘Strategy Tester’ back-testing features to find the best alert settings for specific coins in bear, bull and sideways markets.
Ideal for use with the Autoview trading bot
Changes Version 3.1
UI consolidates reduntant script inputs making the script easier to use.
Fixes STOP-LOSS algorithm.
Adds a STOP-LOSS Plot (red line) to enable users to create a STOP-LOSS alert option or other alert(s) based on the plot location. See settings screenshot.
Access
Full Access is 0.1 ETH , one time fee for LIFETIME access to the STUDY indicator, STRATEGY and future updates as well as support and SETTINGS for various markets on the Binance Exchange.
Settings
BUY SETTINGS: prntscr.com
SELL SETTINGS: prntscr.com
STOP-LOSS SETTINGS: prntscr.com
NGRN MACD-X & RSI v2 StudyMACD-X, RSI & Volume Indicator Study - Version 2.0
Overview
This study and it's associated strategy were modeled after the famous Philakone described algorithms on his now defunct instructional video series.
This indicator allows for full customisation of parameters and interaction between three indicators that allow users to shape their trading methods to their desired goals.
This associated strategy also allows users to backtest the study alerts script and find the best settings towards that end.
MACD + RSI + VOLUME - are of the most powerful and widely usded indicators, MACD/Histogram crosses, coupled with RSI & Volume increases/decreases will detects areas of deeply oversold / overbought and buys/sells on the reversal
Features
Full customisation - All parameters are open for customising to allow the trader to build their own strategy and adapt from market to market.
Toggle Buying and Selling, or have them both active at the same time.
Toggle off and on ALTERNATING Buy and Sell feature to allow for consecutive DCA style buys or SCALING out of an entry (partial sell).
Access
Full Access is 0.07 ETH, one time fee for full unlimited access to the indicator, strategy and future updates as well as support and SETTINGS for various markets on the Binance Exchange (currently only USDT)
Advance Trading SystemThis Price Action + Volume based indicator combines Multi‑Timeframe swing structure, volume ranking, liquidity zones and auto long/short signal generation to create an “Advance Trading System” that displays OB (order block‑like) levels, dashboard and entry/exit labels on the chart.
What this indicator does
Looks at recent candles on different timeframes to determine if the trend is more “bullish” or “bearish” (considers it bullish if at least 2 out of 3 timeframes agree).
Picks up the recent swing points where the price can reverse and plots green/red lines on them (called “Buy OB”/“Sell OB” here).
Shows when volume has increased, whether the bar is an inside-bar or not, and a small dashboard in the top-right that shows the trend, reversal levels, volume and LTF/HTF signals.
What are the buttons/settings
Swing Strength: Based on how many bars the recent swing high/low will be confirmed; if the number increases, the signal will come late but with more confidence.
Volume Avg Period: How many bars the volume should be averaged from; this checks “whether the volume is strong or not”.
Show HH/HL/LH/LL Labels: Switch to show/hide swing labels by writing them on the chart.
Show Dashboard: Small panel on/off in the top-right.
Signal Mode: Auto, Long Only, Short Only or Both—that is, whether to follow the auto-trend or see only buy/sell.
LTF/HTF: Choose lower and higher timeframes; also 15m/30m/1h/4h are scanned in the background to understand the recent direction.
How to identify trends and swings
Candle patterns: Simple rule—if the latest candle is biased (e.g. a strong bull/bear or a particularly long wick candle), then the signal for that TF is 1 (bull) or -1 (bear); otherwise 0.
Three TFs: Lower, Mid (which is the chart TF), and Higher—the non-zero signal is considered the “last known direction”; then the number of the three is counted as bull/bear.
Swing high/low: The most recent “solid” high/low on the chart is considered the highest/lowest within a few bars to the left or right; this indicates whether the new high is above (HH) or below (LH) the old one, and whether the new low is above (HL) or below (LL).
What are the green/red lines
If the trend is bullish (at least 2 out of 3 TFs are bullish), a green line is drawn near the previous confirmed low—here it is called Buy OB; the idea is that if the price comes near this zone, a bounce is expected.
On a bearish trend, a red line is drawn near the previous confirmed high—Sell OB—which means if the price comes near that zone, a drop is expected.
Volume colors and inside-bars
color of each bar is determined by the volume ranking: orange/yellow for low volume, varying shades of blue for high volume; if an inside-bar is formed (both high/low inside the previous bar) the bar is darkened to draw attention.
Simple estimation of liquidity zone
When the recent swing high is formed, the total volume is looked at in the surrounding few bars (eg: 3-3 bars before/after) and the upper/lower edge is noted where the maximum concentration is - this is considered as the liquidity zone.
The same is done for the high TF as well and the average of both is taken to form an MTF zone to get a big-picture picture.
What the dashboard shows
Trend (Multi‑TF): HL/HH indicates bullish trend, LH/LL indicates bearish trend; color green/red.
Reversal Level: Level where the recent reversal was confirmed (high/low of the last confirmed swing).
Volume vs Prev: Volume higher/lower/equal to the previous bar.
Volume: Raw number, color green/red depending on whether Price is buy or sell.
LTF/HTF: Last received signal as BUY/SELL.
How entry/exit signals are formed
Basic conditions:
Mood bias: at least 2 TFs in the same direction.
Volume strength: current volume is well above average and higher than the previous bar—i.e. there is real juice.
Near zone: price is in a small band around the green/red line (e.g. within about -2% to +1% for Buy).
Long Entry : all three conditions above are met on the previous close of the bar in the buy direction; Short Entry is the opposite. Exit rule is also placed on the previous bar of the opposite signal, so that everything is on a “confirmed close” and false shocks are minimized.
Labels: once the signal is confirmed, the labels “LONG ENTRY”, “LONG EXIT”, “SHORT ENTRY”, “SHORT EXIT” are applied to the chart on the previous bar itself, with a small ATR-based gap for clear reading.
How Auto/Manual modes work
Auto (TF Based): The system will decide whether to look at Long Only, Short Only, or Both—depending on the Multi‑TF trend.
Long Only/Short Only: Only signals from that side will be generated; Both will generate both.
What to look for in the limits
Swing confirmation takes time, as you have to wait for a few bars to the right—so the signal is more reliable with a slight delay.
The term “OB” is used here for a simple level; this is not pro-level order-block detection (such as with FVG/break-off-structure), but it works well with this system.
Volume ranking is simple; ties are possible at equal volume, which can reduce precision in color-coding.
How to use
First check the trend from the dashboard: focus on the buy zone if HL/HH, sell zone if LH/LL.
Then check if there is a volume spike; without volume confirmation it is better to skip signals.
When the price is right near the green/red line, only work with a confirmed signal on the previous close bar, avoid rushing in between.
This can be made more robust if desired by adding true order‑block, FVG, and additional confirmations (such as RSI/MACD/Structure Break); but the base idea is to combine multi‑timeframe trend + swing levels + volume strength + zone close to produce simple, Tradeable and confirmed signals.
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities.
🔶 Advanced Statistical Normalization
Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions.
// Core EMA and Oscillator Calculation
ema_values = ta.ema(close, ema_period)
oscillator_values = close - ema_values
rolling_std = ta.stdev(oscillator_values, ema_period)
z_score = oscillator_values / rolling_std
🔶 Dual Threshold System
Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes.
// Statistical Thresholds
mild_threshold = 1.0 // ±1σ (68% confidence)
moderate_threshold = 2.0 // ±2σ (95% confidence)
extreme_threshold = 3.0 // ±3σ (99.7% confidence)
// Percentage-Based Dynamic Thresholds
osc_high = ta.highest(math.abs(z_score), lookback_period)
mild_pct_thresh = osc_high * (mild_pct / 100.0)
moderate_pct_thresh = osc_high * (moderate_pct / 100.0)
extreme_pct_thresh = osc_high * (extreme_pct / 100.0)
🔶 Signal Generation Framework
Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration.
// Extreme Signal Detection
sell_signal = ta.crossover(z_score, selected_extreme)
buy_signal = ta.crossunder(z_score, -selected_extreme)
// Dynamic Color Coding
signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought
z_score >= selected_moderate ? #ff6a6a : // Overbought
z_score >= selected_mild ? #b86456 : // Mildly Overbought
z_score > -selected_mild ? #a1a1a1 : // Neutral
z_score > -selected_moderate ? #01b844 : // Mildly Oversold
z_score > -selected_extreme ? #00ff66 : // Oversold
#00ff66 // Extremely Oversold
🔶 Visual Structure Analysis
Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing.
snapshot
4H
1D
🔶 Adaptive Threshold Selection
Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles.
🔶 Performance Optimization
Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options.
🔶 Market Oscillator Interpretation
Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches.
snapshot
🔶 Intelligent Signal Management
Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles.
Why Choose EMA Oscillator ?
This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
Triple Momentum Indicator ALERT CODE (opt & fut )Nifty and Bank 🚀High Accuracy Triple Momentum Strategy - no repainting HIGH WINRATE
This system is designed for job holders who want to invest and trade using a proven, back tested strategy without needing to sit in front of charts all day.
📢 Need auto-trade alerts?
its an dedicated **indicator version with real-time BUY/SELL/EXIT alerts**
Strategy code review
📊 Results:
Historical Win Rate: 90.0% (314/349 signals)
Study Period: 1 Year on NIFTY Futures
Educational Return: 81.4% annualized
Max Drawdown: ₹49,132.50
📊 Optimized Parameters:
"This strategy achieves 90% win rate on NIFTY Futures using optimized settings:
📈PARAM A: 69
📉PARAM B: 34
⚡PARAM C : 10
🎯 Source: Close
📊PARAM D: 39
🔴 Use Live Bar Signals: Enabled (may repaint)
💰 Long Profit %: 0.09
💸 Short Profit %: 0.05
🔎 Clean BUY / SELL / EXIT logic, optimized for high-probability trades
📧 Educational Access:
Send TradingView message for access.
📌 **Important Notes:**
- 🧪 This tool has been **extensively tested**, and results shown are from actual backtests on TradingView
🔒 Access is invite-only for quality control
@How to Create Alerts in TradingView (Step by Step)
Add the Indicator to Your Chart
Open your chart in TradingView.
Add your custom indicator (from Pine Script) to the chart.
Set Your Indicator Parameters@
Click on the indicator’s name in the chart or in the “Indicators” list.
Click the gear/settings icon.
Enter the suggested parameters (Long Length: 69, Short Length: 34, etc.), then click OK.
Open the Alert Creation Window
Click the Alerts (clock/bell) icon at the top of the TradingView interface.
Or right-click on the chart and select “Add Alert”.
Configure Each Alert
In the “Condition” dropdown, select your indicator.
Choose the specific alert condition (e.g., Buy Alert, Sell Alert, Exit Buy Alert, Exit Sell Alert) from the list.
Set the “Options” to Once per bar close.
(Optional) Enter your webhook URL if you want alerts to be sent to another app or bot.
In the Message box, enter the JSON format for automation:
For Buy: {"SYMBOL":"{{ticker}}","ACTION":"BUY","PRICE":{{close}}}
For Sell: {"SYMBOL":"{{ticker}}","ACTION":"SELL","PRICE":{{close}}}
For Buy Exit: {"SYMBOL":"{{ticker}}","ACTION":"BUY_EXIT","PRICE":{{close}}}
For Sell Exit: {"SYMBOL":"{{ticker}}","ACTION":"SELL_EXIT","PRICE":{{close}}}
Save the Alert
Click Create to save your alert.
Repeat
Repeat steps (Buy, Sell, Buy Exit, Sell Exit).
Manage Alerts
You can edit, remove, or pause alerts any time in the “Alerts” panel at the bottom of TradingView.
⚠️ Disclaimer:
Shared for learning and research purposes only. Not financial advice. Past educational results don't guarantee future outcomes. Trading involves risk of loss. We are not SEBI registered.
#MomentumStrategy #TradingEducation #InviteOnly #NIFTYFutures #AlgoTrading #EducationalStrategy #NIFTYOptions
Quantum Trading MatrixThe Quantum Trading Matrix is a sophisticated Pine Script indicator designed for TradingView that offers a comprehensive trading dashboard by combining multiple market analysis techniques in one interface. The indicator integrates price action, volume, momentum, trend detection, institutional activity, and technical oscillators to provide traders a unified perspective on the market.
At its core, the script uses fundamental market data like price (open, high, low, close) and volume to calculate various metrics. The VWAP (Volume Weighted Average Price) is a key element that helps traders understand if the price is trading above or below the average price weighted by volume, indicating market strength or weakness. The distance of the current price from the VWAP is computed as a percentage to signal how far the price has diverged from this benchmark.
Momentum is measured through a "Quantum Momentum Oscillator" derived from the difference between fast and slow exponential moving averages of price. Positive momentum signals bullish conditions while negative momentum signals bearish ones. Volume flow analysis breaks down buying versus selling pressure on each bar by observing where the close price lies within the daily range combined with volume, generating an order flow ratio. This aids in identifying if buyers or sellers dominate the market at a given time.
Trend detection involves calculating EMAs of different lengths (8, 21, and 50) and aggregating their relationships into a trend score. Scores range from strong uptrend to downtrend, providing a clear directional bias. Institutional activity is inferred by detecting volume spikes significantly above the average volume, suggesting large players might be active. A dark pool estimate provides an approximate volume figure representing hidden or off-exchange trading.
The script also identifies market structure by detecting pivot highs and lows which act as resistance and support levels, respectively. These levels offer valuable insight into potential price reversals or breakouts. The RSI (Relative Strength Index) is incorporated, including a basic divergence detection to suggest potential bull or bear reversals. Volatility is measured using the Average True Range (ATR), classifying the current volatility from low to extreme, helping traders gauge the risk environment.
All these metrics are combined into a scoring system that awards points for positive indications such as price above VWAP, positive order flow, bullish momentum, and an uptrend in EMAs. The overall score ranges from 0 to 100 and is interpreted visually with emojis: a rocket for strong bullish setups, a chart up emoji for positive bias, a balanced scale for neutral, and a chart down emoji for bearish conditions.
The indicator issues alerts based on the combination of these signals, including bullish and bearish setups when multiple criteria align favorably, volume spike alerts when abnormal volume events occur, and institutional activity alerts for high volume surges.
To use this indicator effectively, traders should first assess the trend direction indicated by the EMA-based scoring. Positive momentum and price trading above the VWAP confirm bullish bias, while the opposite suggests bearishness. Volume flow and institutional activity provide additional confirmation. Support and resistance levels derived from pivots help in planning entries and exits. The RSI and volatility readings inform traders of potential overbought or oversold conditions and market risk levels. Alerts provide timely notifications to act on significant setups.
The indicator is highly customizable, allowing users to adjust the dashboard's position, size, and color theme to suit personal preferences. Parameters such as the momentum period, volume profile bars, trend multiplier, and signal sensitivity can be fine-tuned to adapt to different markets and trading styles.
This tool requires foundational knowledge of key technical concepts such as EMAs, VWAP, ATR, RSI, and volume analysis for best utilization. For traders interested in expanding their understanding, recommended resources include the TradingView Pine Script manual, technical analysis books by John J. Murphy and Dr. Alexander Elder, and practical video tutorials focusing on volume spread analysis and institutional order flow.
Overall, the Quantum Trading Matrix™ serves as a powerful control panel for active traders, providing a multi-dimensional view of the market through combined technical indicators, helping to identify high probability trade setups and manage risk effectively.
________________________________________
⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Vwapbot (VWAP + Ut Bot Alerts)Vwapbot (VWAP + Ut Bot Alerts) - Complete Guide
This Pine Script indicator combines two powerful trading tools: Volume Weighted Average Price (VWAP) and the UT Bot trend-following system. Here's a comprehensive breakdown:
What This Indicator Does
The indicator provides:
1. VWAP calculation with deviation bands
2. UT Bot trend signals with trailing stops
3. Combined confluence alerts when both indicators align
4. Visual information table showing current market conditions
Core Components
1. VWAP (Volume Weighted Average Price)
What it is: VWAP calculates the average price weighted by volume, giving more importance to high-volume periods.
Settings:
• VWAP Source: Price used for calculation (default: hlc3 - average of high, low, close)
• VWAP Anchor: Reset period (Session/Week/Month/Quarter/Year)
Usage:
• Price above VWAP = bullish bias
• Price below VWAP = bearish bias
• VWAP acts as dynamic support/resistance
2. VWAP Deviation Bands
What they show: Statistical boundaries around VWAP based on price volatility
Settings:
• Standard Deviation Multiplier: How far the bands extend (default: 1.0)
• Show Bands: Toggle visibility
Usage:
• Gray dashed lines: 1 standard deviation bands (normal price range)
• Red dotted lines: 2 standard deviation bands (extreme price levels)
• Price touching outer bands may indicate reversal opportunities
3. UT Bot (Ultimate Trend Bot)
What it does: Creates a trailing stop system that follows trends and signals reversals
Settings:
• Key Value: Sensitivity multiplier (1.0 = balanced, lower = more sensitive)
• ATR Period: Lookback period for volatility calculation (default: 10)
How it works:
• Uses ATR (Average True Range) to calculate dynamic support/resistance levels
• Green line = uptrend (trailing stop below price)
• Red line = downtrend (trailing stop above price)
4. UT Bot Alerts are integrated to the logic of Volume Profile i,e VWAP, the UT Bot Stop trailing line plot its data and change trends obtaining it's logic from the VWAP and Standard Deviation bands, thus it differs in it's logic of UT Bot alerts from other indicators.
Visual Elements
On-Chart Displays:
1. Blue line: VWAP
2. Gray lines: 1st deviation bands
3. Red lines: 2nd deviation bands
4. Green/Red thick line: UT Bot trailing stop
5. Green triangles up: Buy signals
6. Red triangles down: Sell signals
7. Background color: Light green (bullish) / Light red (bearish)
Information Table (Top Right):
• VWAP: Current VWAP value
• UT Bot: Current trailing stop level
• Trend: Bullish/Bearish status
• Price vs VWAP: Above/Below comparison
• Deviation: Percentage distance from VWAP
• Volume: Current bar volume
Trading Signals
Basic Signals:
1. UT Bot Buy: Green triangle when trend turns bullish
2. UT Bot Sell: Red triangle when trend turns bearish
3. VWAP Cross Above: Price crosses above VWAP
4. VWAP Cross Below: Price crosses below VWAP
Confluence Signals :
1. Bullish Confluence: UT Bot buy signal + Price above VWAP
2. Bearish Confluence: UT Bot sell signal + Price below VWAP
How to Use This Indicator
For Trend Following:
1. Enter long when you get a bullish confluence signal
2. Enter short when you get a bearish confluence signal
3. Exit when the UT Bot trend changes color
For Mean Reversion:
1. Look for reversals when price hits the 2nd deviation bands
2. Confirm with UT Bot signals
3. Target return to VWAP
For Support/Resistance:
1. Use VWAP as dynamic support in uptrends, resistance in downtrends
2. Watch for bounces at deviation bands
3. Confirm direction with UT Bot trend color
Best Practices
Timeframes:
• Intraday: Use Session VWAP anchor
• Swing trading: Use Weekly/Monthly anchors
• Position trading: Use Monthly/Quarterly anchors
Risk Management:
• Stop loss: Below/above the UT Bot trailing stop
• Position sizing: Smaller positions when price is at extreme deviation bands
• Confluence: Wait for both VWAP and UT Bot alignment for strongest signals
Market Conditions:
• Trending markets: Focus on UT Bot signals and VWAP direction bias
• Ranging markets: Use deviation bands for entry/exit points
• High volume periods: VWAP becomes more significant
Alert System
The indicator provides 6 types of alerts:
1. UT Bot buy/sell signals
2. VWAP crossover alerts
3. Confluence alerts (most important)
Set up alerts for confluence signals to catch the highest probability setups when both indicators align.
This indicator works best when combined with proper risk management and used in conjunction with market structure analysis. The confluence signals provide the highest probability entries, while the individual components help with market.
Advice from the publisher:
For using with Indices e.g NIFTY 50, BANKNIFTY etc. use parameters:
UT BOT Key Value : 1
UT BOT ATR Period : 10
Standard Deviation Multiplier : 1 {Default}
For using with commodities e.g NATURALGAS, CRUDEOIL etc. use parameters:
UT BOT Key Value : 2
UT BOT ATR Period : 7
Standard Deviation Multiplier : 1 {Default}
Advanced Volume Profile Pro Delta + POC + VAH/VAL# Advanced Volume Profile Pro - Delta + POC + VAH/VAL Analysis System
## WHAT THIS SCRIPT DOES
This script creates a comprehensive volume profile analysis system that combines traditional volume-at-price distribution with delta volume calculations, Point of Control (POC) identification, and Value Area (VAH/VAL) analysis. Unlike standard volume indicators that show only total volume over time, this script analyzes volume distribution across price levels and estimates buying vs selling pressure using multiple calculation methods to provide deeper market structure insights.
## WHY THIS COMBINATION IS ORIGINAL AND USEFUL
**The Problem Solved:** Traditional volume indicators show when volume occurs but not where price finds acceptance or rejection. Standalone volume profiles lack directional bias information, while basic delta calculations don't provide structural context. Traders need to understand both volume distribution AND directional sentiment at key price levels.
**The Solution:** This script implements an integrated approach that:
- Maps volume distribution across price levels using configurable row density
- Estimates delta (buying vs selling pressure) using three different methodologies
- Identifies Point of Control (highest volume price level) for key support/resistance
- Calculates Value Area boundaries where 70% of volume traded
- Provides real-time alerts for key level interactions and volume imbalances
**Unique Features:**
1. **Developing POC Visualization**: Real-time tracking of Point of Control migration throughout the session via blue dotted trail, revealing institutional accumulation/distribution patterns before they complete
2. **Multi-Method Delta Calculation**: Price Action-based, Bid/Ask estimation, and Cumulative methods for different market conditions
3. **Adaptive Timeframe System**: Auto-adjusts calculation parameters based on chart timeframe for optimal performance
4. **Flexible Profile Types**: N Bars Back (precise control), Days Back (calendar-based), and Session-based analysis modes
5. **Advanced Imbalance Detection**: Identifies and highlights significant buying/selling imbalances with configurable thresholds
6. **Comprehensive Alert System**: Monitors POC touches, Value Area entry/exit, and major volume imbalances
## HOW THE SCRIPT WORKS TECHNICALLY
### Core Volume Profile Methodology:
**1. Price Level Distribution:**
- Divides price range into user-defined rows (10-50 configurable)
- Calculates row height: `(Highest Price - Lowest Price) / Number of Rows`
- Distributes each bar's volume across price levels it touched proportionally
**2. Delta Volume Calculation Methods:**
**Price Action Method:**
```
Price Range = High - Low
Buy Pressure = (Close - Low) / Price Range
Sell Pressure = (High - Close) / Price Range
Buy Volume = Total Volume × Buy Pressure
Sell Volume = Total Volume × Sell Pressure
Delta = Buy Volume - Sell Volume
```
**Bid/Ask Estimation Method:**
```
Average Price = (High + Low + Close) / 3
Buy Volume = Close > Average ? Volume × 0.6 : Volume × 0.4
Sell Volume = Total Volume - Buy Volume
```
**Cumulative Method:**
```
Buy Volume = Close > Open ? Volume : Volume × 0.3
Sell Volume = Close ≤ Open ? Volume : Volume × 0.3
```
**3. Point of Control (POC) Identification:**
- Scans all price levels to find maximum volume concentration
- POC represents the price level with highest trading activity
- Acts as significant support/resistance level
- **Developing POC Feature**: Tracks POC evolution in real-time via blue dotted trail, showing how institutional interest migrates throughout the session. Upward POC migration indicates accumulation patterns, downward migration suggests distribution, providing early trend signals before price confirmation.
**4. Value Area Calculation:**
- Starts from POC and expands up/down to encompass 70% of total volume
- VAH (Value Area High): Upper boundary of value area
- VAL (Value Area Low): Lower boundary of value area
- Expansion algorithm prioritizes direction with higher volume
**5. Adaptive Range Selection:**
Based on profile type and timeframe optimization:
- **N Bars Back**: Fixed lookback period with performance optimization (20-500 bars)
- **Days Back**: Calendar-based analysis with automatic timeframe adjustment (1-365 days)
- **Session**: Current trading session or custom session times
### Performance Optimization Features:
- **Sampling Algorithm**: Reduces calculation load on large datasets while maintaining accuracy
- **Memory Management**: Clears previous drawings to prevent performance degradation
- **Safety Constraints**: Prevents excessive memory usage with configurable limits
## HOW TO USE THIS SCRIPT
### Initial Setup:
1. **Profile Configuration**: Select profile type based on trading style:
- N Bars Back: Precise control over data range
- Days Back: Intuitive calendar-based analysis
- Session: Real-time session development
2. **Row Density**: Set number of rows (30 default) - more rows = higher resolution, slower performance
3. **Delta Method**: Choose calculation method based on market type:
- Price Action: Best for trending markets
- Bid/Ask Estimate: Good for ranging markets
- Cumulative: Smoothed approach for volatile markets
4. **Visual Settings**: Configure colors, position (left/right), and display options
### Reading the Profile:
**Volume Bars:**
- **Length**: Represents relative volume at that price level
- **Color**: Green = net buying pressure, Red = net selling pressure
- **Intensity**: Darker colors indicate volume imbalances above threshold
**Key Levels:**
- **POC (Blue Line)**: Highest volume price - major support/resistance
- **VAH (Purple Dashed)**: Value Area High - upper boundary of fair value
- **VAL (Orange Dashed)**: Value Area Low - lower boundary of fair value
- **Value Area Fill**: Shaded region showing main trading range
**Developing POC Trail:**
- **Blue Dotted Lines**: Show real-time POC evolution throughout the session
- **Migration Patterns**: Upward trail indicates bullish accumulation, downward trail suggests bearish distribution
- **Early Signals**: POC movement often precedes price movement, providing advance warning of institutional activity
- **Institutional Footprints**: Reveals where smart money concentrated volume before final POC establishment
### Trading Applications:
**Support/Resistance Analysis:**
- POC acts as magnetic price level - expect reactions
- VAH/VAL provide intermediate support/resistance levels
- Profile edges show areas of low volume acceptance
**Developing POC Analysis:**
- **Upward Migration**: POC moving higher = institutional accumulation, bullish bias
- **Downward Migration**: POC moving lower = institutional distribution, bearish bias
- **Stable POC**: Tight clustering = balanced market, range-bound conditions
- **Early Trend Detection**: POC direction change often precedes price breakouts
**Entry Strategies:**
- Buy at VAL with POC as target (in uptrends)
- Sell at VAH with POC as target (in downtrends)
- Breakout plays above/below profile extremes
**Volume Imbalance Trading:**
- Strong buying imbalance (>60% threshold) suggests continued upward pressure
- Strong selling imbalance suggests continued downward pressure
- Imbalances near key levels provide high-probability setups
**Multi-Timeframe Context:**
- Use higher timeframe profiles for major levels
- Lower timeframe profiles for precise entries
- Session profiles for intraday trading structure
## SCRIPT SETTINGS EXPLANATION
### Volume Profile Settings:
- **Profile Type**: Determines data range for calculation
- N Bars Back: Exact number of bars (20-500 range)
- Days Back: Calendar days with timeframe adaptation (1-365 days)
- Session: Trading session-based (intraday focus)
- **Number of Rows**: Profile resolution (10-50 range)
- **Profile Width**: Visual width as chart percentage (10-50%)
- **Value Area %**: Volume percentage for VA calculation (50-90%, 70% standard)
- **Auto-Adjust**: Automatically optimizes for different timeframes
### Delta Volume Settings:
- **Show Delta Volume**: Enable/disable delta calculations
- **Delta Calculation Method**: Choose methodology based on market conditions
- **Highlight Imbalances**: Visual emphasis for significant volume imbalances
- **Imbalance Threshold**: Percentage for imbalance detection (50-90%)
### Session Settings:
- **Session Type**: Daily, Weekly, Monthly, or Custom periods
- **Custom Session Time**: Define specific trading hours
- **Previous Sessions**: Number of historical sessions to display
### Days Back Settings:
- **Lookback Days**: Number of calendar days to analyze (1-365)
- **Automatic Calculation**: Script automatically converts days to bars based on timeframe:
- Intraday: Accounts for 6.5 trading hours per day
- Daily: 1 bar per day
- Weekly/Monthly: Proportional adjustment
### N Bars Back Settings:
- **Lookback Bars**: Exact number of bars to analyze (20-500)
- **Precise Control**: Best for systematic analysis and backtesting
### Visual Customization:
- **Colors**: Bullish (green), Bearish (red), and level colors
- **Profile Position**: Left or Right side of chart
- **Profile Offset**: Distance from current price action
- **Labels**: Show/hide level labels and values
- **Smooth Profile Bars**: Enhanced visual appearance
### Alert Configuration:
- **POC Touch**: Alerts when price interacts with Point of Control
- **VA Entry/Exit**: Alerts for Value Area boundary interactions
- **Major Imbalance**: Alerts for significant volume imbalances
## VISUAL FEATURES
### Profile Display:
- **Horizontal Bars**: Volume distribution across price levels
- **Color Coding**: Delta-based coloring for directional bias
- **Smooth Rendering**: Optional smoothing for cleaner appearance
- **Transparency**: Configurable opacity for chart readability
### Level Lines:
- **POC**: Solid blue line with optional label
- **VAH/VAL**: Dashed colored lines with value displays
- **Extension**: Lines extend across relevant time periods
- **Value Area Fill**: Optional shaded region between VAH/VAL
### Information Table:
- **Current Values**: Real-time POC, VAH, VAL prices
- **VA Range**: Value Area width calculation
- **Positioning**: Multiple table positions available
- **Text Sizing**: Adjustable for different screen sizes
## IMPORTANT USAGE NOTES
**Realistic Expectations:**
- Volume profile analysis provides structural context, not trading signals
- Delta calculations are estimations based on price action, not actual order flow
- Past volume distribution does not guarantee future price behavior
- Combine with other analysis methods for comprehensive market view
**Best Practices:**
- Use appropriate profile types for your trading style:
- Day Trading: Session or Days Back (1-5 days)
- Swing Trading: Days Back (10-30 days) or N Bars Back
- Position Trading: Days Back (60-180 days)
- Consider market context (trending vs ranging conditions)
- Verify key levels with additional technical analysis
- Monitor profile development for changing market structure
**Performance Considerations:**
- Higher row counts increase calculation complexity
- Large lookback periods may affect chart performance
- Auto-adjust feature optimizes for most use cases
- Consider using session profiles for intraday efficiency
**Limitations:**
- Delta calculations are estimations, not actual transaction data
- Profile accuracy depends on available price/volume history
- Effectiveness varies across different instruments and market conditions
- Requires understanding of volume profile concepts for optimal use
**Data Requirements:**
- Requires volume data for accurate calculations
- Works best on liquid instruments with consistent volume
- May be less effective on very low volume or exotic instruments
This script serves as a comprehensive volume analysis tool for traders who need detailed market structure information with integrated directional bias analysis and real-time POC development tracking for informed trading decisions.
Dual Volume Profiles: Session + Rolling (Range Delineation)Dual Volume Profiles: Session + Rolling (Range Delineation)
INTRO
This is a probability-centric take on volume profile. I treat the volume histogram as an empirical PDF over price, updated in real time, which makes multi-modality (multiple acceptance basins) explicit rather than assumed away. The immediate benefit is operational: if we can read the shape of the distribution, we can infer likely reversion levels (POC), acceptance boundaries (VAH/VAL), and low-friction corridors (LVNs).
My working hypothesis is that what traders often label “fat tails” or “power-law behavior” at short horizons is frequently a tail-conditioned view of a higher-level Gaussian regime. In other words, child distributions (shorter periodicities) sit within parent distributions (longer periodicities); when price operates in the parent’s tail, the child regime looks heavy-tailed without being fundamentally non-Gaussian. This is consistent with a hierarchical/mixture view and with the spirit of the central limit theorem—Gaussian structure emerges at aggregate scales, while local scales can look non-Gaussian due to nesting and conditioning.
This indicator operationalizes that view by plotting two nested empirical PDFs: a rolling (local) profile and a session-anchored profile. Their confluence makes ranges explicit and turns “regime” into something you can see. For additional nesting, run multiple instances with different lookbacks. When using the default settings combined with a separate daily VP, you effectively get three nested distributions (local → session → daily) on the chart.
This indicator plots two nested distributions side-by-side:
Rolling (Local) Profile — short-window, prorated histogram that “breathes” with price and maps the immediate auction.
Session Anchored Profile — cumulative distribution since the current session start (Premkt → RTH → AH anchoring), revealing the parent regime.
Use their confluence to identify range floors/ceilings, mean-reversion magnets, and low-volume “air pockets” for fast traverses.
What it shows
POC (dashed): central tendency / “magnet” (highest-volume bin).
VAH & VAL (solid): acceptance boundaries enclosing an exact Value Area % around each profile’s POC.
Volume histograms:
Rolling can auto-color by buy/sell dominance over the lookback (green = buying ≥ selling, red = selling > buying).
Session uses a fixed style (blue by default).
Session anchoring (exchange timezone):
Premarket → anchors at 00:00 (midnight).
RTH → anchors at 09:30.
After-hours → anchors at 16:00.
Session display span:
Session Max Span (bars) = 0 → draw from session start → now (anchored).
> 0 → draw a rolling window N bars back → now, while still measuring all volume since session start.
Why it’s useful
Think in terms of nested probability distributions: the rolling node is your local Gaussian; the session node is its parent.
VA↔VA overlap ≈ strong range boundary.
POC↔POC alignment ≈ reliable mean-reversion target.
LVNs (gaps) ≈ low-friction corridors—expect quick moves to the next node.
Quick start
Add to chart (great on 5–10s, 15–60s, 1–5m).
Start with: bins = 240, vaPct = 0.68, barsBack = 60.
Watch for:
First test & rejection at overlapping VALs/VAHs → fade back toward POC.
Acceptance beyond VA (several closes + growing outer-bin mass) → traverse to the next node.
Inputs (detailed)
General
Lookback Bars (Rolling)
Count of most-recent bars for the rolling/local histogram. Larger = smoother node that shifts slower; smaller = more reactive, “breathing” profile.
• Typical: 40–80 on 5–10s charts; 60–120 on 1–5m.
• If you increase this but keep Number of Bins fixed, each bin aggregates more volume (coarser bins).
Number of Bins
Vertical resolution (price buckets) for both rolling and session histograms. Higher = finer detail and crisper LVNs, but more line objects (closer to platform limits).
• Typical: 120–240 on 5–10s; 80–160 on 1–5m.
• If you hit performance or object limits, reduce this first.
Value Area %
Exact central coverage for VAH/VAL around POC. Computed empirically from the histogram (no Gaussian assumption): the algorithm expands from POC outward until the chosen % is enclosed.
• Common: 0.68 (≈“1σ-like”), 0.70 for slightly wider core.
• Smaller = tighter VA (more breakout flags). Larger = wider VA (more reversion bias).
Max Local Profile Width (px)
Horizontal length (in pixels) of the rolling bars/lines and its VA/POC overlays. Visual only (does not affect calculations).
Session Settings
RTH Start/End (exchange tz)
Defines the current session anchor (Premkt=00:00, RTH=your start, AH=your end). The session histogram always measures from the most recent session start and resets at each boundary.
Session Max Span (bars, 0 = full session)
Display window for session drawings (POC/VA/Histogram).
• 0 → draw from session start → now (anchored).
• > 0 → draw N bars back → now (rolling look), while still measuring all volume since session start.
This keeps the “parent” distribution measurable while letting the display track current action.
Local (Rolling) — Visibility
Show Local Profile Bars / POC / VAH & VAL
Toggle each overlay independently. If you approach object limits, disable bars first (POC/VA lines are lighter).
Local (Rolling) — Colors & Widths
Color by Buy/Sell Dominance
Fast uptick/downtick proxy over the rolling window (close vs open):
• Buying ≥ Selling → Bullish Color (default lime).
• Selling > Buying → Bearish Color (default red).
This color drives local bars, local POC, and local VA lines.
• Disable to use fixed Bars Color / POC Color / VA Lines Color.
Bars Transparency (0–100) — alpha for the local histogram (higher = lighter).
Bars Line Width (thickness) — draw thin-line profiles or chunky blocks.
POC Line Width / VA Lines Width — overlay thickness. POC is dashed, VAH/VAL solid by design.
Session — Visibility
Show Session Profile Bars / POC / VAH & VAL
Independent toggles for the session layer.
Session — Colors & Widths
Bars/POC/VA Colors & Line Widths
Fixed palette by design (default blue). These do not change with buy/sell dominance.
• Use transparency and width to make the parent profile prominent or subtle.
• Prefer minimal? Hide session bars; keep only session VA/POC.
Reading the signals (detailed playbook)
Core definitions
POC — highest-volume bin (fair price “magnet”).
VAH/VAL — upper/lower bounds enclosing your Value Area % around POC.
Node — contiguous block of high-volume bins (acceptance).
LVN — low-volume gap between nodes (low friction path).
Rejection vs Acceptance (practical rule)
Rejection at VA edge: 0–1 closes beyond VA and no persistent growth in outer bins.
Acceptance beyond VA: ≥3 closes beyond VA and outer-bin mass grows (e.g., added volume beyond the VA edge ≥ 5–10% of node volume over the last N bars). Treat acceptance as regime change.
Confluence scores (make boundary/target quality objective)
VA overlap strength (range boundary):
C_VA = 1 − |VA_edge_local − VA_edge_session| / ATR(n)
Values near 1.0 = tight overlap (stronger boundary).
Use: if C_VA ≥ 0.6–0.8, treat as high-quality fade zone.
POC alignment (magnet quality):
C_POC = 1 − |POC_local − POC_session| / ATR(n)
Higher C_POC = greater chance a rotation completes to that fair price.
(You can estimate these by eye.)
Setups
1) Range Fade at VA Confluence (mean reversion)
Context: Local VAL/VAH near Session VAL/VAH (tight overlap), clear node, local color not screaming trend (or flips to your side).
Entry: First test & rejection at the overlapped band (wick through ok; prefer close back inside).
Stop: A tick/pip beyond the wider of the two VA edges or beyond the nearest LVN, a small buffer zone can be used to judge whether price is truly rejecting a VAL/VAH or simply probing.
Targets: T1 node mid; T2 POC (size up when C_POC is high).
Flip: If acceptance (rule above) prints, flip bias or stand down.
2) LVN Traverse (continuation)
Context: Price exits VA and enters an LVN with acceptance and growing outer-bin volume.
Entry: Aggressive—first close into LVN; Conservative—retest of the VA edge from the far side (“kiss goodbye”).
Stop: Back inside the prior VA.
Targets: Next node’s VA edge or POC (edge = faster exits; POC = fuller rotations).
Note: Flatter VA edge (shallower curvature) tends to breach more easily.
3) POC→POC Magnet Trade (rotation completion)
Context: Local POC ≈ Session POC (high C_POC).
Entry: Fade a VA touch or pullback inside node, aiming toward the shared POC.
Stop: Past the opposite VA edge or LVN beyond.
Target: The shared POC; optional runner to opposite VA if the node is broad and time-of-day is supportive.
4) Failed Break (Reversion Snap-back)
Context: Push beyond VA fails acceptance (re-enters VA, outer-bin growth stalls/shrinks).
Entry: On the re-entry close, back toward POC.
Stop/Target: Stop just beyond the failed VA; target POC, then opposite VA if momentum persists.
How to read color & shape
Local color = most recent sentiment:
Green = buying ≥ selling; Red = selling > buying (over the rolling window). Treat as context, not a standalone signal. A green local node under a blue session VAH can still be a fade if the parent says “over-valued.”
Shape tells friction:
Fat nodes → rotation-friendly (fade edges).
Sharp LVN gaps → traversal-friendly (momentum continuation).
Time-of-day intuition
Right after session anchor (e.g., RTH 09:30): Session profile is young and moves quickly—treat confluence cautiously.
Mid-session: Cleanest behavior for rotations.
Close / news: Expect more traverses and POC migrations; tighten risk or switch playbooks.
Risk & execution guidance
Use tight, mechanical stops at/just beyond VA or LVN. If you need wide stops to survive noise, your entry is late or the node is unstable.
On micro-timeframes, account for fees & slippage—aim for targets paying ≥2–3× average cost.
If acceptance prints, don’t fight it—flip, reduce size, or stand aside.
Suggested presets
Scalp (5–10s): bins 120–240, barsBack 40–80, vaPct 0.68–0.70, local bars thin (small bar width).
Intraday (1–5m): bins 80–160, barsBack 60–120, vaPct 0.68–0.75, session bars more visible for parent context.
Performance & limits
Reuses line objects to stay under TradingView’s max_lines_count.
Very large bins × multiple overlays can still hit limits—use visibility toggles (hide bars first).
Session drawings use time-based coordinates to avoid “bar index too far” errors.
Known nuances
Rolling buy/sell dominance uses a simple uptick/downtick proxy (close vs open). It’s fast and practical, but it’s not a full tape classifier.
VA boundaries are computed from the empirical histogram—no Gaussian assumption.
This script does not calculate the full daily volume profile. Several other tools already provide that, including TradingView’s built-in Volume Profile indicators. Instead, this indicator focuses on pairing a rolling, short-term volume distribution with a session-wide distribution to make ranges more explicit. It is designed to supplement your use of standard or periodic volume profiles, not replace them. Think of it as a magnifying lens that helps you see where local structure aligns with the broader session.
How to trade it (TL;DR)
Fade overlapping VA bands on first rejection → target POC.
Continue through LVN on acceptance beyond VA → target next node’s VA/POC.
Respect acceptance: ≥3 closes beyond VA + growing outer-bin volume = regime change.
FAQ
Q: Why 68% Value Area?
A: It mirrors the “~1σ” idea, but we compute it exactly from empirical volume, not by assuming a normal distribution.
Q: Why are my profiles thin lines?
A: Increase Bars Line Width for chunkier blocks; reduce for fine, thin-line profiles.
Q: Session bars don’t reach session start—why?
A: Set Session Max Span (bars) = 0 for full anchoring; any positive value draws a rolling window while still measuring from session start.
Changelog (v1.0)
Dual profiles: Rolling + Session with independent POC/VA lines.
Session anchoring (Premkt/RTH/AH) with optional rolling display span.
Dynamic coloring for the rolling profile (buying vs selling).
Fully modular toggles + per-feature colors/widths.
Thin-line rendering via bar line width.
Volume Rotor Clock [hapharmonic]🕰️ Volume Rotor Clock
The Volume Rotor Clock is an indicator that separates buy and sell volume, compiling these volumes over a recent number of bars or a specified past period, as defined by the user. This helps to reveal accumulation (buying) or distribution (selling) behavior, showing which side has superior volume. With its unique and beautiful display, the Volume Rotor Clock is more than just a timepiece; it's a dynamic dashboard that visualizes the buying and selling pressure of your favorite symbols, all wrapped in an elegant and fully customizable interface.
Instead of just tracking price, this indicator focuses on the engine behind the movement: volume. It helps you instantly identify which assets are under accumulation (buying) and which are under distribution (selling).
---
🎨 20 Pre-configured Templates
---
🧐 Interpreting the Clock Display
The interface is designed to give you multiple layers of information at a glance. Let's break down what each part represents.
1. The Main Clock Hands (Current Chart Symbol)
The clock hands—hour, minute, and second—are dedicated to the symbol on your current active chart .
Minute Hand: Displays the base currency of the current symbol (e.g., USDT, USD) at its tip.
Hour Hand: Displays the percentage of the winning volume side (buy vs. sell) at its tip.
Color Gauge: The color of the text characters at the tip of both the hour and minute hands acts as your primary volume gauge for the current symbol.
If buy volume is dominant , the text will be green .
If sell volume is dominant , the text will be red .
Tooltip: Hovering your mouse over the text at the tip of the hour or minute or other spherical elements hand will reveal a detailed tooltip with the precise Buy Volume, Sell Volume, Total Volume, Buy %, and Sell % for the current chart's symbol.
2. The Volume Scanner: Bulls & Bears (Symbols Inside the Clock) 🐂🐻
The circular symbols scattered inside the clock face are your multi-symbol volume scanner. They represent the assets you've selected in the indicator's settings.
Green Circles (Bulls - Upper Half): These represent symbols from your list where the total buy volume is greater than the total sell volume over the defined "Lookback" period. They are considered to be under bullish accumulation. The size of the circle and its text grows larger as the buy percentage becomes more dominant. The percentage shown within the circle represents the buy volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set.
Red Circles (Bears - Lower Half): These represent symbols where the total sell volume is greater than the total buy volume. They are considered to be under bearish distribution or selling pressure. The size of the circle indicates the dominance of the sell-side volume. The percentage shown within the circle represents the sell volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set.
3. The Bullish Watchlist (Symbols Above the Clock) ⭐
The symbols arranged neatly along the top edge of the clock are the "best of the bulls." They are symbols that are not only bullish but have also passed an additional, powerful strength filter.
What it Means: A symbol appears here when it shows signs of sustained, high-volume buying interest . It's a way to filter out noise and focus on assets with potentially significant accumulation phases.
The Filter Logic: For a bullish symbol (where total buy volume > total sell volume) to be promoted to the watchlist, its trading volume must meet specific criteria based on this formula:
ta.barssince(not(volume > ta.sma(volume, X))) >= Y
In plain English, this means: The indicator checks how many consecutive bars the `volume` has been greater than its `X`-bar Simple Moving Average (`ta.sma(volume, X)`). If this count is greater than or equal to `Y` bars, the condition is met.
(You can configure `X` (Volume MA Length) and `Y` (Consecutive Days Above MA) in the settings.)
Why it's Useful: This filter is powerful because it looks for consistency . A single spike in volume can be an anomaly. However, when an asset's volume remains consistently above its recent average for several consecutive days, it strongly suggests that larger players or a significant portion of the market are actively accumulating the asset. This sustained interest can often precede a significant upward price trend.
---
⚙️ Indicator Settings Explained
The Volume Rotor Clock is highly customizable. Here’s a detailed walkthrough of every setting available in the "Inputs" tab.
🎨 Color Scheme
This group allows you to control the entire aesthetic of the clock.
Template: Choose from a wide variety of professionally designed color themes.
Use Template: A simple checkbox to switch between using a pre-designed theme and creating your own.
`Checked`: You can select a theme from the dropdown menu, which offers 20 unique templates like "Cyberpunk Neon" or "Forest Green". All custom color settings below will be disabled (grayed out and unclickable).
`Unchecked`: The template dropdown is disabled, and you gain full control over every color element in the sections below.
🖌️ Custom Appearance & Colors
These settings are only active when "Use Template" is unchecked.
Flame Head / Tail: Sets the start and end colors for the dynamic flame effect that traces the clock's border, representing the second hand.
Numbers / Main Numbers: Customize the color of the regular hour numbers (1, 2, 4, 5...) and the main cardinal numbers (3, 6, 9, 12).
Sunburst Colors (1-6): Controls the six colors used in the gradient background for the "sunburst" effect inside the clock face.
Hands & Digital: Fine-tune the colors for the Hour/Minute Hand, Second Hand, central Pivot point, and the digital time display.
Chain Color / Width: Customize the appearance of the two chains holding the clock.
📡 Volume Scanner
Control the behavior of the multi-symbol scanner.
Show Scanner Labels: A master switch to show or hide all the bull/bear symbol circles inside the clock.
Lookback (Bars): A crucial setting that defines the calculation period for buy/sell volume for all scanned symbols. The calculation is a sum over the specified number of recent bars.
`0`: Calculates using the current bar only .
`7`: Calculates the sum of volume over the last 8 bars (the current bar + 7 historical bars).
Symbols List: Here you can enable/disable up to 20 slots and input the ticker for each symbol you want to scan (e.g., BINANCE:BTCUSDT , NASDAQ:AAPL ).
⭐ Bullish Watchlist Filter
Configure the criteria for the elite watchlist symbols displayed above the clock.
Enable Watchlist: A master switch to turn the entire watchlist feature on or off.
Volume MA Length: Sets the lookback period `(X)` for the Simple Moving Average of volume used in the filter.
Consecutive Days Above MA: Sets the minimum number of consecutive days `(Y)` that volume must close above its MA to qualify.
Symbols Per Row: Determines the maximum number of watchlist symbols that can fit in a single row before a new row is created above it.
Background / Text Color: When not using a template, you can set custom colors for the watchlist symbols' background and text.
📏 Position & Size
Adjust the clock's placement and dimensions on your chart.
Clock Timezone: Sets the timezone for the digital and analog time display. You can use standard formats like "America/New_York" or enter "Exchange" to sync with the chart's timezone.
Radius (Bars): Controls the overall size of the clock. The radius is measured in terms of the number of bars on the x-axis.
X Offset (Bars): Moves the entire clock horizontally. Positive values shift it to the right; negative values shift it to the left.
Y Offset (Price %): Moves the entire clock vertically as a percentage of your screen's price pane. Positive values move it up; negative values move it down.
Volume Delta Pressure Tracker by GSK-VIZAG-AP-INDIA📢 Title:
Volume Delta Pressure Tracker by GSK-VIZAG-AP-INDIA
📝 Short Description (for script title box):
Real-time volume pressure tracker with estimated Buy/Sell volumes and Delta visualization in an Indian-friendly format (K, L, Cr).
📃 Full Description
🔍 Overview:
This indicator estimates buy and sell volumes using candle structure (OHLC) and displays a real-time delta table for the last N candles. It provides traders with a quick view of volume imbalance (pressure) — often indicating strength behind price moves.
📊 Features:
📈 Buy/Sell Volume Estimation using the candle’s OHLC and Volume.
⚖️ Delta Calculation (Buy Vol - Sell Vol) to detect pressure zones.
📅 Time-stamped Table displaying:
Time (HH:MM)
Buy Volume (Green)
Sell Volume (Red)
Delta (Color-coded)
🔢 Indian Number Format (K = Thousands, L = Lakhs, Cr = Crores).
🧠 Fully auto-calculated — no need for tick-by-tick bid/ask feed.
📍 Neatly placed bottom-right table, customizable number of rows.
🛠️ Inputs:
Show Table: Toggle the table on/off
Number of Bars to Show: Choose how many recent candles to include (5–50)
🎯 Use Cases:
Identify hidden buyer/seller strength
Detect volume absorption or exhaustion
✅ Compatibility:
Works on any timeframe
Ideal for intraday instruments like NIFTY, BANKNIFTY, etc.
Ideal for volume-based strategy confirmation.
🖋️ Developed by:
GSK-VIZAG-AP-INDIA
Renko Price TrackerRenko Sequential Signal – qLine + Moneyball Confirmation
This indicator is designed for Renko chart traders who want to combine price action relative to a key line (qLine) with Moneyball buy/sell signals as a confirmation. It helps filter trades so you only get signals when both conditions align within a chosen time window.
How It Works
First Event – Price Trigger
Detects when the Renko close crosses above/below your selected qLine plot from the qPro indicator.
You can choose between:
Cross – only triggers on an actual crossover/crossunder.
State (Close) – triggers whenever price closes above/below qLine.
Second Event – Moneyball Confirmation
Waits for Moneyball’s Buy Signal (for long) or Bear/Sell Signal (for short) plot to fire.
You select the exact Moneyball plot from the source menu.
You can specify how the Moneyball signal is interpreted (== 1, >= 1, or any nonzero value).
Sequential Logic
The Moneyball signal must occur within N Renko bricks after the price event.
The final buy/sell signal is printed on the Moneyball bar.
Key Features
Works natively on Renko charts.
Adjustable confirmation window (0–5 bricks).
Flexible detection for both qLine and Moneyball signals.
Customizable label sizes, arrow display, and alerts.
Alerts fire for both buy and sell conditions:
BUY: qLine ➜ Moneyball Buy
SELL: qLine ➜ Moneyball Sell
Inputs
qLine Source – Pick the qPro qLine plot.
Price Event Type – Cross or State.
Moneyball Buy/Sell Signal Plots – Select the correct plots from your Moneyball indicator.
Confirmation Window – Bars allowed between events.
Visual Settings – Label size, arrow visibility, etc.
Use Case
Ideal for traders who:
Want a double-confirmation entry system.
Use Renko charts for cleaner trend detection.
Already have qPro and Moneyball loaded, but want an automated, rule-based confluence check.
Gold Scalping Grid Zones [CongTrader]📜 Overview
Gold Scalping Grid Zones is a professional trading tool designed for XAUUSD scalpers & day traders.
It automatically detects key Buy/Sell zones based on pivot points and projects future breakout targets using ATR.
This all-in-one indicator combines:
Dynamic Grid Trading Zones from recent highs/lows
Future Price Forecast Zones for breakout targeting
EMA + RSI filtering for higher signal accuracy
Unified Buy/Sell alert system optimized for fast execution
✨ Key Features
Automatic Buy/Sell grid zones based on recent pivots
Breakout target forecasting using ATR multipliers
Smart signal filtering
BUY: Price above EMA 200 + RSI oversold
SELL: Price below EMA 200 + RSI overbought
Unified single alert for both BUY and SELL triggers
Auto-clean chart – keeps only the latest signal label
Fully customizable: grid step, zone thickness, ATR multiplier, EMA, RSI...
📈 How to Use
Add to Chart
Apply to XAUUSD chart (best performance on M5 – H1).
Adjust Parameters
Grid Step: Distance between zones (default: $2.0)
Zone Thickness: Visual width of zones
ATR Multiplier: Distance for forecast zones
EMA Length & RSI Levels: Fine-tune signal filtering
Read the Zones & Signals
Green Zones → Demand areas (Buy)
Red Zones → Supply areas (Sell)
Forecast BUY/SELL labels → Next breakout target
BUY/SELL signal labels → Confirmed trade setups based on EMA + RSI filters
Set Alerts
Click the Alert (🔔) icon in TradingView
Condition: "Gold Trade Signal"
Choose “Once per bar close” (fewer alerts) or “Once per bar” (scalping mode)
Phone alert example:
Gold Trade Signal: BUY or SELL triggered
⚠️ Disclaimer
This is NOT financial advice.
Always combine with your own analysis, risk management, and stop loss.
Past performance does not guarantee future results.
Trading gold with leverage carries high risk.
💡 Pro Tip:
Combine this indicator with candlestick patterns, volume analysis, and higher timeframe trend confirmation to maximize accuracy.
Fewer resistance/support zones ahead = stronger breakout potential.
🙏 Thank You
Thank you for using Gold Scalping Grid Zones .
If you find this indicator helpful, please Follow the author and Share it with your trading community so more traders can benefit.
Every follow and share is motivation to keep building more high-quality trading tools. 🚀 . #gold #XAUUSD #scalping #gridtrading #zones #supplydemand #ATR #EMA #RSI #pivot
Consensus Signal Matrix Pro [By TraderMan] Consensus Signal Matrix Pro 🌟
What Does It Do? 📊
Consensus Signal Matrix Pro is a comprehensive technical analysis indicator designed for financial markets. 🧠 It aggregates signals from over 30 popular technical indicators (e.g., EMA, RSI, MACD, Bollinger Bands, Supertrend, Ichimoku, etc.) to provide a unified BUY, SELL, or NEUTRAL recommendation. 💡 This tool helps traders make informed decisions by consolidating signals and presenting them in a clear table format. 📈 It is particularly suited for leveraged trading (without built-in TP/SL). 🚀
How Does It Work? 🔍
Multi-Indicator Analysis 🛠️:
The indicator calculates signals from 30 different technical indicators (e.g., EMA 9/21, RSI, MACD, Supertrend, Ichimoku, Williams %R, etc.).
Each indicator generates a BUY, SELL, or NEUTRAL signal based on price action and volume data.
For example: RSI < 30 triggers a "BUY" signal, while RSI > 70 triggers a "SELL" signal. 🔔
Signal Aggregation and Consensus 🤝:
All indicator signals are collected into an array.
The number of BUY, SELL, and NEUTRAL signals is counted.
A percentage difference (percentDiff) is calculated by dividing the difference between BUY and SELL signals by the total number of indicators.
Based on this difference:
>20%: General status is GENERAL BUY. ✅
<-20%: General status is GENERAL SELL. ❎
In between: General status is NEUTRAL. ⚖️
Position Recommendation 💸:
The position type is determined based on the general status:
GENERAL BUY → LONG position recommended. 📈
GENERAL SELL → SHORT position recommended. 📉
NEUTRAL → No position (NONE). 🚫
Table Visualization 📋:
The indicator displays all signals and the general status in a table located in the top-right corner of the TradingView chart. 🎨
The table lists each indicator’s name, its signal (BUY/SELL/NEUTRAL), total indicator count, BUY/SELL/NEUTRAL counts, general status, and position type. 🖼️
Color coding is used: Green (BUY), Red (SELL), Gray (NEUTRAL), Orange (headers). 🌈
How to Use It? 🛠️
Setup ⚙️:
Copy and paste the indicator code into the Pine Editor on TradingView and compile it. 🖥️
Add it to your chart (works on any timeframe, though it uses D1 data for daily ATR). ⏰
Review the Table 📖:
Check the table displayed in the top-right corner of the chart.
Review each indicator’s signal (BUY/SELL/NEUTRAL) and the overall signal distribution.
Focus on the GENERAL STATUS and POSITION TYPE rows. 🔎
Position Opening Decision 💰:
LONG Position: If GENERAL STATUS is "GENERAL BUY" and the table shows mostly green (BUY) signals, consider opening a LONG position. 📈
SHORT Position: If GENERAL STATUS is "GENERAL SELL" and the table shows mostly red (SELL) signals, consider opening a SHORT position. 📉
NEUTRAL Status: If the status is "NEUTRAL," avoid opening a position. ⚖️
Risk Management ⚠️:
The indicator does not include Take Profit (TP) or Stop Loss (SL) levels. You must apply your own risk management strategy.
Recommended: Use ATR-based volatility (shown in the table as ATR signal) or support/resistance levels to set manual TP/SL. 🛡️
Timeframe and Asset ⏳:
Can be used on any financial asset (stocks, forex, crypto, etc.).
Works on short-term (1H, 4H) or long-term (D1, W1) charts. Evaluate signal speed based on your timeframe. 📅
How to Open Positions? 🎯
Trust the General Status: Use GENERAL STATUS (GENERAL BUY or GENERAL SELL) as the primary guide. A strong percentage difference (>20% or <-20%) indicates a more reliable signal. ✅
Check Signal Strength: Look at the table to assess the number of BUY or SELL signals. For example, if 20 out of 30 indicators signal BUY, it’s a strong LONG signal. 💪
Align with Market Conditions: Before acting, analyze the broader market trend (bullish, bearish, or sideways). For instance, SELL signals may be less reliable in a strong bull market. 📡
Combine with Other Analyses: Use the indicator alongside support/resistance levels, news flow, or fundamental analysis for confirmation. 🧩
Caution: The indicator is designed for leveraged trading but lacks TP/SL. Manage volatility and risk tolerance carefully. ⚠️
Advantages and Considerations 🌟
Advantages 😊:
Simplifies analysis by combining multiple indicators into one table.
Provides a quick overview of market direction.
User-friendly for both beginners and experienced traders.
Considerations ⚠️:
No signal is 100% accurate; markets can be unpredictable.
You must develop your own risk management strategy.
Signals may be misleading during high volatility; use additional confirmation.
Final Note 🎉:
Consensus Signal Matrix Pro is a powerful tool for traders seeking a consolidated view of multiple technical signals. 🚀 By combining diverse indicators into a single, easy-to-read table, it streamlines decision-making. However, always combine it with sound risk management and market context for the best results. 💸 Happy trading! 🤑
Nifty50 Swing Trading Super Indicator# 🚀 Nifty50 Swing Trading Super Indicator - Complete Guide
**Created by:** Gaurav
**Date:** August 8, 2025
**Version:** 1.0 - Optimized for Indian Markets
---
## 📋 Table of Contents
1. (#quick-start-guide)
2. (#indicator-overview)
3. (#installation-instructions)
4. (#parameter-settings)
5. (#signal-interpretation)
6. (#trading-strategy)
7. (#risk-management)
8. (#optimization-tips)
9. (#troubleshooting)
---
## 🎯 Quick Start Guide
### What You Get
✅ **2 Complete Pine Script Indicators:**
- `swing_trading_super_indicator.pine` - Universal version for all markets
- `nifty_optimized_super_indicator.pine` - Specifically optimized for Nifty50 & Indian stocks
✅ **Key Features:**
- Multi-component signal confirmation system
- Optimized for daily and 3-hour timeframes
- Built-in risk management with dynamic stops and targets
- Real-time signal strength monitoring
- Gap analysis for Indian market characteristics
### Immediate Setup
1. Copy the Pine Script code from `nifty_optimized_super_indicator.pine`
2. Paste into TradingView Pine Editor
3. Add to chart on daily or 3-hour timeframe
4. Look for 🚀BUY and 🔻SELL signals
5. Use the information table for signal confirmation
---
## 🔍 Indicator Overview
### Core Components Integration
**🎯 Range Filter (35% Weight)**
- Primary trend identification using adaptive volatility filtering
- Optimized sampling period: 21 bars for Indian market volatility
- Enhanced range multiplier: 3.0 to handle market gaps
- Provides trend direction and strength measurement
**⚡ PMAX (30% Weight)**
- Volatility-adjusted trend confirmation using ATR-based calculations
- Dynamic multiplier adjustment based on market volatility
- 14-period ATR with 2.5 multiplier for swing trading sensitivity
- Offers trailing stop functionality
**🏗️ Support/Resistance (20% Weight)**
- Dynamic level identification using pivot point analysis
- Tighter channel width (3%) for precise Indian market levels
- Enhanced strength calculation with historical interaction weighting
- Provides entry/exit timing and breakout signals
**📊 EMA Alignment (15% Weight)**
- Multi-timeframe moving average confirmation
- Key EMAs: 9, 21, 50, 200 (popular in Indian markets)
- Hierarchical alignment scoring for trend strength
- Additional trend validation layer
### Advanced Features
**🌅 Gap Analysis**
- Automatic detection of significant price gaps (>2%)
- Gap strength measurement and impact on signals
- Specific optimization for Indian market overnight gaps
- Visual gap markers on chart
**⏰ Multi-Timeframe Integration**
- Higher timeframe bias from daily/weekly data
- Configurable daily bias weight (default 70%)
- 3-hour confirmation for precise entry timing
- Prevents counter-trend trades against major timeframe
**🛡️ Risk Management**
- Dynamic stop-loss calculation using multiple methods
- Automatic profit target identification
- Position sizing guidance based on signal strength
- Anti-whipsaw logic to prevent false signals
---
## 📥 Installation Instructions
### Step 1: Access TradingView
1. Open TradingView.com
2. Navigate to Pine Editor (bottom panel)
3. Create a new indicator
### Step 2: Copy the Code
**For Nifty50 & Indian Stocks (Recommended):**
```pinescript
// Copy entire content from nifty_optimized_super_indicator.pine
```
**For Universal Use:**
```pinescript
// Copy entire content from swing_trading_super_indicator.pine
```
### Step 3: Configure and Apply
1. Click "Add to Chart"
2. Select daily or 3-hour timeframe
3. Adjust parameters if needed (defaults are optimized)
4. Enable alerts for signal notifications
### Step 4: Verify Installation
- Check that all components are visible
- Confirm information table appears in top-right
- Test with known trending stocks for signal validation
---
## ⚙️ Parameter Settings
### 🎯 Range Filter Settings
```
Sampling Period: 21 (optimized for Indian market volatility)
Range Multiplier: 3.0 (handles overnight gaps effectively)
Source: Close (most reliable for swing trading)
```
### ⚡ PMAX Settings
```
ATR Length: 14 (standard for daily/3H timeframes)
ATR Multiplier: 2.5 (balanced for swing trading sensitivity)
Moving Average Type: EMA (responsive to price changes)
MA Length: 14 (matches ATR period for consistency)
```
### 🏗️ Support/Resistance Settings
```
Pivot Period: 8 (shorter for Indian market dynamics)
Channel Width: 3% (tighter for precise levels)
Minimum Strength: 3 (higher quality levels only)
Maximum Levels: 4 (focus on strongest levels)
Lookback Period: 150 (sufficient historical data)
```
### 🚀 Super Indicator Settings
```
Signal Sensitivity: 0.65 (balanced for swing trading)
Trend Strength Requirement: 0.75 (high quality signals)
Gap Threshold: 2.0% (significant gap detection)
Daily Bias Weight: 0.7 (strong higher timeframe influence)
```
### 🎨 Display Options
```
Show Range Filter: ✅ (trend visualization)
Show PMAX: ✅ (trailing stops)
Show S/R Levels: ✅ (key price levels)
Show Key EMAs: ✅ (trend confirmation)
Show Signals: ✅ (buy/sell alerts)
Show Trend Background: ✅ (visual trend state)
Show Gap Markers: ✅ (gap identification)
```
---
## 📊 Signal Interpretation
### 🚀 BUY Signals
**Requirements for BUY Signal:**
- Price above Range Filter with upward trend
- PMAX showing bullish direction (MA > PMAX line)
- Support/resistance breakout or favorable positioning
- EMA alignment supporting upward movement
- Higher timeframe bias confirmation
- Overall signal strength > 75%
**Signal Strength Indicators:**
- **90-100%:** Extremely strong - Maximum position size
- **80-89%:** Very strong - Large position size
- **75-79%:** Strong - Standard position size
- **65-74%:** Moderate - Reduced position size
- **<65%:** Weak - Wait for better opportunity
### 🔻 SELL Signals
**Requirements for SELL Signal:**
- Price below Range Filter with downward trend
- PMAX showing bearish direction (MA < PMAX line)
- Resistance breakdown or unfavorable positioning
- EMA alignment supporting downward movement
- Higher timeframe bias confirmation
- Overall signal strength > 75%
### ⚖️ NEUTRAL Signals
**Characteristics:**
- Conflicting signals between components
- Low overall signal strength (<65%)
- Range-bound market conditions
- Wait for clearer directional bias
### 📈 Information Table Guide
**Component Status:**
- **BULL/BEAR:** Current signal direction
- **Strength %:** Component contribution strength
- **Status:** Additional context (STRONG/WEAK/ACTIVE/etc.)
**Overall Signal:**
- **🚀 STRONG BUY:** All systems aligned bullish
- **🔻 STRONG SELL:** All systems aligned bearish
- **⚖️ NEUTRAL:** Mixed or weak signals
---
## 💼 Trading Strategy
### Daily Timeframe Strategy
**Setup:**
1. Apply indicator to daily chart of Nifty50 or Indian stocks
2. Wait for 🚀BUY or 🔻SELL signal with >75% strength
3. Confirm higher timeframe bias alignment
4. Check for significant support/resistance levels
**Entry:**
- Enter on signal bar close or next bar open
- Use 3-hour chart for precise entry timing
- Avoid entries during major news events
- Consider gap analysis for overnight positions
**Position Sizing:**
- **>90% Strength:** 3-4% of portfolio
- **80-89% Strength:** 2-3% of portfolio
- **75-79% Strength:** 1-2% of portfolio
- **<75% Strength:** Avoid or minimal size
### 3-Hour Timeframe Strategy
**Setup:**
1. Confirm daily timeframe bias first
2. Apply indicator to 3-hour chart
3. Look for signals aligned with daily trend
4. Use for entry/exit timing optimization
**Entry Refinement:**
- Wait for 3H signal confirmation
- Enter on pullbacks to key levels
- Use tighter stops for better risk/reward
- Monitor intraday support/resistance
### Risk Management Rules
**Stop Loss Placement:**
1. **Primary:** Use indicator's dynamic stop level
2. **Secondary:** Below/above nearest support/resistance
3. **Maximum:** 2-3% of portfolio per trade
4. **Trailing:** Move stops with PMAX line
**Profit Taking:**
1. **Target 1:** First resistance/support level (50% position)
2. **Target 2:** Second resistance/support level (30% position)
3. **Runner:** Trail remaining 20% with PMAX
**Position Management:**
- Review positions at daily close
- Adjust stops based on new signals
- Exit if trend changes to opposite direction
- Reduce size during high volatility periods
---
## 🎯 Optimization Tips
### For Nifty50 Trading
- Use daily timeframe for primary signals
- Monitor sector rotation impact
- Consider index futures for better liquidity
- Watch for RBI policy and global cues impact
### For Individual Stocks
- Verify stock follows Nifty correlation
- Check sector-specific news and events
- Ensure adequate liquidity for position size
- Monitor earnings calendar for volatility
### Market Condition Adaptations
**Trending Markets:**
- Increase position sizes for strong signals
- Use wider stops to avoid whipsaws
- Focus on trend continuation signals
- Reduce counter-trend trading
**Range-Bound Markets:**
- Reduce position sizes
- Use tighter stops and quicker profits
- Focus on support/resistance bounces
- Increase signal strength requirements
**High Volatility Periods:**
- Reduce overall exposure
- Use smaller position sizes
- Increase stop-loss distances
- Wait for clearer signals
### Performance Monitoring
- Track win rate and average profit/loss
- Monitor signal quality over time
- Adjust parameters based on market changes
- Keep trading journal for pattern recognition
---
## 🔧 Troubleshooting
### Common Issues
**Q: Signals appear too frequently**
A: Increase "Trend Strength Requirement" to 0.8-0.9
**Q: Missing obvious trends**
A: Decrease "Signal Sensitivity" to 0.5-0.6
**Q: Too many false signals**
A: Enable "3H Confirmation" and increase strength requirements
**Q: Indicator not loading**
A: Check Pine Script version compatibility (requires v5)
### Parameter Adjustments
**For More Sensitive Signals:**
- Decrease Signal Sensitivity to 0.5-0.6
- Decrease Trend Strength Requirement to 0.6-0.7
- Increase Range Filter multiplier to 3.5-4.0
**For More Conservative Signals:**
- Increase Signal Sensitivity to 0.7-0.8
- Increase Trend Strength Requirement to 0.8-0.9
- Enable all confirmation features
### Performance Issues
- Reduce lookback periods if chart loads slowly
- Disable some visual elements for better performance
- Use on liquid stocks/indices for best results
---
## 📞 Support & Updates
This super indicator combines the best of Range Filter, PMAX, and Support/Resistance analysis specifically optimized for Indian market swing trading. The multi-component approach significantly improves signal quality while the built-in risk management features help protect capital.
**Remember:** No indicator is 100% accurate. Always combine with proper risk management, market analysis, and your trading experience for best results.
**Happy Trading! 🚀**
