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.
ابحث في النصوص البرمجية عن "Buy sell"
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)
Multi EMA + Indicators + Mini-Dashboard + Reversals v6🧠 Indicator Description
Name: Multi EMA + Indicators + Mini-Dashboard + Reversals v6
Type: Multi-strategy confirmation & reversal indicator
Platform: TradingView (Pine Script v6)
Purpose: To combine multiple technical indicators and trend confirmations into one unified visual tool — allowing traders to identify trend-following entries, reversal opportunities, and signal strength through an integrated mini-dashboard.
⚙️ Main Features
🔹 1. Multiple EMAs
Plots four Exponential Moving Averages (EMAs) (9, 21, 50, 100 by default).
EMA 3 and EMA 4 dynamically change color depending on trend direction (up or down).
EMA crossovers and price position relative to EMAs help identify bullish or bearish trends.
🔹 2. Technical Confirmations
The indicator includes several well-known oscillators and filters:
RSI (Relative Strength Index) → momentum and midline (50) confirmation.
MACD → trend and momentum alignment via MACD–Signal crossover.
Stochastic Oscillator → overbought/oversold short-term momentum filter.
ATR Filter → ensures candles have sufficient volatility before allowing a trade signal.
CCI (Commodity Channel Index) → adds a secondary trend confirmation layer.
All of these can be individually enabled or disabled in the Filters settings.
🔹 3. Reversal Detection System
Includes several independent criteria to catch potential market reversals:
Candle Patterns – detects Bullish Hammer and Bearish Shooting Star.
Large Candle Filter – detects unusually large candles (configurable %).
Price-EMA Distance Filter – ensures price is not too extended from EMAs.
RSI Divergence – checks for bullish/bearish RSI divergence.
RSI Overbought/Oversold – triggers signals at extreme RSI levels.
Doji Detection – identifies indecision candles that may precede reversals.
Each reversal condition can also be turned on or off independently for fine-tuning.
🔹 4. Buy & Sell Logic
Two types of signals can appear:
Buy/Sell Signal (Trend-based):
Triggered when price is aligned above or below EMAs and all selected filters confirm the direction.
Reversal Signal (Countertrend):
Triggered when one or more reversal criteria are met (e.g., bullish hammer, RSI divergence, or overbought/oversold zones).
🔹 5. Visual Alerts
You’ll see:
Green Up Triangles below candles for Buy signals.
Red Down Triangles above candles for Sell signals.
Up Triangles for Reversal Buys.
Down Triangles for Reversal Sells.
These also trigger TradingView alerts, so you can set up:
“Buy Alert triggered”
“Sell Alert triggered”
“Reversal Buy triggered”
“Reversal Sell triggered”
🔹 6. Mini-Dashboard (Optional)
Displays a summary panel on the chart that helps visualize:
Current trade bias: LONG, SHORT, or NEUTRAL.
EMA3/EMA4 trend direction (↑ or ↓).
Each filter’s confirmation (🟩 = positive, 🟥 = negative, ⬜ = inactive).
Reversal filters’ status (Doji, RSI divergence, large candle, etc.).
The dashboard color changes based on signal strength:
Green background → bullish bias
Red background → bearish bias
Gray background → neutral/no clear signal
📈 How to Use It
Add the script to your chart
Copy and paste the Pine Script code into TradingView’s Pine Editor and click “Add to chart”.
Choose your timeframe
Works well on 15m, 1H, 4H, or Daily charts.
Adjust EMA lengths depending on the market volatility.
Enable/Disable Filters
Open the Settings panel.
Under “Filters”, choose which indicators to include in the confirmation logic (RSI, MACD, Stoch, etc.).
Reversal Mode (Optional)
In “Reversal” settings, turn on features like RSI Divergence or Candle Patterns to detect exhaustion points.
Interpret the Signals
Buy Signal: All selected filters confirm bullish alignment.
Sell Signal: All filters confirm bearish alignment.
Reversal Signals: Appear when short-term exhaustion or divergence occurs.
Dashboard: Use the mini-dashboard to see which conditions are contributing to the signal.
Set Alerts (Recommended)
Right-click the chart → Add Alert → Choose this indicator → Select a condition (Buy/Sell/Reversal).
Useful for receiving push/email alerts automatically.
💡 Trading Tips
I am still improving the reversals , i have to improve how and when it works...
Combine this indicator with price action or support/resistance analysis for confirmation.
Best used as a signal confirmation tool, not a standalone trading system.
Avoid using all filters at once — start simple (e.g., EMA + RSI + MACD), then add others for precision.
For reversals, focus on confluences (e.g., RSI divergence + Doji + strong support zone).
CVD Pro – Smart Overlay + Signals (with Persist Mode)What this Indicator Does
CVD Pro visualizes Cumulative Volume Delta (CVD) data directly on your main price chart — helping you detect real buying vs. selling pressure in real time.
Unlike most CVD scripts that run in a separate subwindow, this one overlays price-mapped CVD curves on the candles themselves for better confluence with market structure and FVG zones.
The script dynamically scales normalized CVD values to the price range and uses adaptive smoothing and deviation bands to highlight shifts in trader behavior.
It also includes automatic bullish/bearish crossover signals, displayed as on-chart labels.
⚙️ Main Features
✅ Price-mapped CVD Overlay
CVD is normalized (Z-score) and projected onto the price chart for easy visual correlation with price structure.
✅ Multi-Timeframe Presets
Three sensitivity presets optimized for different chart environments:
Strict (4H) → Best for macro trends and high-timeframe structure.
Balanced (1H / 30m) → Great for active swing setups.
Sensitive (15m) → Captures short-term intraday reversals.
✅ Dynamic Bands & Smoothing
Deviation bands visualize statistical extremes in delta pressure — helping to identify exhaustion and divergence points.
✅ Smart Buy/Sell Signal Logic
Automatic label triggers when the CVD Overlay crosses its smoothed baseline:
🟢 BULL LONG → Rising CVD above the mean (buyers in control).
🔴 BEAR SHORT → Falling CVD below the mean (sellers in control).
✅ Persist Mode
Toggle to keep the last signal visible until a new one forms — ideal for traders who prefer clean chart annotations without noise.
✅ Clean, Minimal Overlay
Everything happens directly on your chart — no extra windows, no clutter. Designed for use with Smart Money Concepts, Fair Value Gaps (FVGs), or volume imbalance setups.
🧩 Use Case
CVD Pro is designed for traders who:
Use Smart Money Concepts (SMC) or ICT-style trading
Watch for FVG reactions, breaker blocks, and liquidity sweeps
Need to confirm order flow direction or momentum strength
Trade intraday or swing setups with precision entries and clear bias confirmation
⚡ Recommended Settings
4H / 1H: Use Strict mode for major structure and confirmation.
1H / 30m: Balanced mode for clear mid-term trend alignment.
15m: Sensitive mode to catch scalps and lower-TF shifts.
🧠 Pro Tips
Combine with RSI or Market Structure Breaks (MSS) for additional confluence.
A strong CVD divergence near a key FVG or 0.5–0.705 Fibonacci zone often signals reversal.
Persistent CVD crossover + price structure break = high-probability entry.
🧩 Credits
Created by Patrick S. ("Nova Labs")
Concept inspired by professional order-flow analytics and adaptive Z-Score normalization.
Would you like me to write a shorter “public summary” paragraph (for the short description at the top of TradingView, the one-liner users see before expanding)?
It’s usually a 2–3 sentence hook like:
“Overlay-based CVD indicator that merges volume delta with price structure. Detect true buying/selling pressure using adaptive normalization, deviation bands, and clean bullish/bearish crossover signals.”
Adaptive HMA SignalsAdaptive HMA Signals
This indicator pairs nicely with the Contrarian 100 MA and can be located here:
Overview
The "Adaptive HMA Signals" indicator is a sophisticated technical analysis tool designed for traders aiming to capture trend changes with precision. By leveraging Hull Moving Averages (HMAs) that adapt dynamically to market conditions (volatility or volume), this indicator generates actionable buy and sell signals based on price interactions with adaptive HMAs and slope analysis. Optimized for daily charts, it is highly customizable and suitable for trading forex, stocks, cryptocurrencies, or other assets. The indicator is ideal for swing traders and trend followers seeking to time entries and exits effectively.
How It Works
The indicator uses two adaptive HMAs—a primary HMA and a minor HMA—whose periods adjust dynamically based on user-selected market conditions (volatility via ATR or volume via RSI). It calculates the slope of the primary HMA to identify trend strength and generates exit signals when the price crosses the minor HMA under specific slope conditions. Signals are plotted as circles above or below the price, with inverted colors (white for buy, blue for sell) to enhance visibility on any chart background.
Key Components
Adaptive HMAs: Two HMAs (primary and minor) with dynamic periods that adjust based on volatility (ATR-based) or volume (RSI-based) conditions. Periods range between user-defined minimum and maximum values, adapting by a fixed percentage (3.141%).
Slope Analysis: Calculates the slope of the primary HMA over a 34-bar period to gauge trend direction and strength, normalized using market range data.
Signal Logic: Generates buy signals (white circles) when the price falls below the minor HMA with a flat or declining slope (indicating a potential trend reversal) and sell signals (blue circles) when the price rises above the minor HMA with a flat or rising slope.
Signal Visualization: Plots signals at an offset based on ATR for clarity, using semi-transparent colors to avoid chart clutter.
Mathematical Concepts
Dynamic Period Adjustment:
Primary HMA period adjusts between minLength (default: 144) and maxLength (default: 200).
Minor HMA period adjusts between minorMin (default: 55) and minorMax (default: 89).
Periods decrease by 3.141% under high volatility/volume and increase otherwise.
HMA Calculation:
Uses the Hull Moving Average formula: WMA(2 * WMA(src, length/2) - WMA(src, length), sqrt(length)).
Provides a smoother, faster-responding moving average compared to traditional MAs.
Slope Calculation:
Computes the slope of the primary HMA using a 34-bar period, normalized by the market range (highest high - lowest low over 34 bars).
Slope angle is converted to degrees using arccosine for intuitive trend strength interpretation.
Signal Conditions:
Buy: Slope ≥ 17° (flat or rising), price < minor HMA, low volatility/volume.
Sell: Slope ≤ -17° (flat or declining), price > minor HMA, low volatility/volume.
Signals are triggered only on confirmed bars to avoid repainting.
Entry and Exit Rules
Buy Signal (White Circle): Triggered when the price crosses below the minor HMA, the slope of the primary HMA is flat or rising (≥17°), and volatility/volume is low. The signal appears as a white circle above the price bar, offset by 0.72 * ATR(5).
Sell Signal (Blue Circle): Triggered when the price crosses above the minor HMA, the slope of the primary HMA is flat or declining (≤-17°), and volatility/volume is low. The signal appears as a blue circle below the price bar, offset by 0.72 * ATR(5).
Exit Rules: Exit a buy position on a sell signal and vice versa. Combine with other tools (e.g., support/resistance, RSI) for additional confirmation. Always apply proper risk management.
Recommended Usage
The "Adaptive HMA Signals" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to period lengths. It performs best in trending or range-bound markets with clear reversal points. Traders should:
Backtest the indicator on their chosen asset and timeframe to validate signal reliability.
Combine with other technical tools (e.g., trendlines, Fibonacci retracements) for stronger trade setups.
Adjust minLength, maxLength, minorMin, and minorMax based on market volatility and timeframe.
Use the Charger input to toggle between volatility (ATR) and volume (RSI) adaptation for optimal performance in specific market conditions.
Customization Options
Source: Choose the price source (default: close).
Show Signals: Toggle visibility of buy/sell signals (default: true).
Charger: Select adaptation trigger—Volatility (ATR-based) or Volume (RSI-based) (default: Volatility).
Main HMA Periods: Set minimum (default: 144) and maximum (default: 200) periods for the primary HMA.
Minor HMA Periods: Set minimum (default: 55) and maximum (default: 89) periods for the minor HMA.
Slope Period: Fixed at 34 bars for slope calculation, adjustable via code if needed.
Why Use This Indicator?
The "Adaptive HMA Signals" indicator combines the responsiveness of HMAs with dynamic adaptation to market conditions, offering a robust tool for identifying trend reversals. Its clear visual signals, customizable periods, and adaptive logic make it versatile for various markets and trading styles. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to time entries and exits with precision.
Tips for Users
Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust period lengths for non-daily charts).
Use in conjunction with price action or other indicators (e.g., RSI, MACD) for stronger trade confirmation.
Monitor volatility/volume conditions to ensure the Charger setting aligns with market dynamics.
Ensure your chart timeframe aligns with the selected period lengths for accurate signal generation.
Apply strict risk management to protect against false signals in choppy markets.
Happy trading with the Adaptive HMA Signals indicator! Share your feedback and strategies in the TradingView community!
VMS Momentum Trend Matrix Indicator [09.15 to 15.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation
🎯 Overview & Core Philosophy
This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:15 AM to 3:30 PM trading sessions (Indian Market) with dynamic support/resistance levels.
Five Pillars of Analysis:
1. Trend Matrix – Multiple indicator voting system
2. Momentum Suite – Multiple Hybrid oscillator
3. Volume Analysis - Buy/sell pressure quantification
4. Key Level Identification - Dynamic support/resistance
5. EMA Trend: Indicates the overall long-term direction.
📊 DASHBOARD INTERPRETATION - ROW BY ROW
ROW 1: Indicator Name and Cell background colour changes with Trend Matrix
ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this)
Purpose: Long-term trend identification using Exponential Moving Averages
What to Watch:
• Major Trend: Overall market direction (Bullish/Bearish/Neutral)
• Bullish Condition: All EMAs aligned upward
• Bearish Condition: All EMAs aligned downward
• Neutral: Mixed alignment
Trading Significance:
• Trading Condition: Current bias based on EMA alignment
• Bullish Market: Focus on LONG positions only
• Bearish Market: Focus on SHORT positions only
• Neutral Market: Wait for clearer direction
ROW 3-4: KEY LEVELS
Purpose: Dynamic support and resistance identification
Levels to Monitor:
• VMS Line-1 (Support): Dynamic Support for long positions
• VMS Line-2 (Resistance): Dynamic Resistance for short positions
• Up/Down: Daily base levels from opening price calculations
• Up: Daily support level based on opening price
• Down: Daily resistance level based on opening price
How Levels Work:
• Wait for Line-1 and 2 Crossing
• In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line
• In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line
• Provide clear entry/exit points
• If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition.
• If the price is above the up level, it can be considered as bullish and below as bearish
ROW 5-6: VOLUME ANALYSIS
Purpose: Measure buying vs selling pressure
Key Metrics:
• Total Buy Volume: Cumulative buying pressure
• Total Sell Volume: Cumulative selling pressure
• Bullish Candles: Number of up-candles in session
• Bearish Candles: Number of down-candles in session
Interpretation:
• Buy Volume > Sell Volume: Bullish sentiment
• Sell Volume > Buy Volume: Bearish sentiment
• Bullish Candles Dominating: Upward momentum
• Bearish Candles Dominating: Downward momentum
ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this)
Purpose: Short-term momentum strength and direction
Critical Components:
• Direction: Current momentum (BULLISH/BEARISH)
• Strength: 0-100% strength measurement
• Bullish Height: Positive momentum magnitude
• Bearish Height: Negative momentum magnitude
Strength Classification:
• 80-100%: Very Strong - High conviction trades
• 60-80%: Strong - Good trading opportunities
• 40-60%: Moderate - Caution advised
• 20-40%: Weak - Avoid trading
• 0-20%: Very Weak - No trade zone
ROW 9-11: TREND MATRIX
Purpose: Consensus from Multiple technical indicators
Matrix Scoring:
• Bullish Signals: Number voting UP
• Bearish Signals: Number voting DOWN
• Neutral Signals: Non-committed indicators
• Net Score: Bullish - Bearish signals
Trend Classification:
• Strong Uptrend: Net Score ≥ +5
• Uptrend: Net Score +1 to +4
• Neutral: Net Score = 0
• Downtrend: Net Score -1 to -4
• Strong Downtrend: Net Score ≤ -5
ROW 12: COMBINED ANALYSIS
Purpose: Final integrated signal from all systems
Bias Levels:
• STRONG BULLISH: All systems aligned upward
• BULLISH: Majority systems upward
• NEUTRAL: Mixed or weak signals
• BEARISH: Majority systems downward
• STRONG BEARISH: All systems aligned downward
Confidence Score: 0-100% reliability measurement
ROW 13: TRADING VIEW
Purpose: Clear action recommendations
Possible Actions:
• STRONG LONG: High conviction buy signal
• MODERATE LONG: Medium conviction buy signal
• WAIT FOR CONFIRMATION: No clear signal
• MODERATE SHORT: Medium conviction sell signal
• STRONG SHORT: High conviction sell signal
🎯 COMPLETE TRADING RULES
BUY ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BULLISH or STRONG BULLISH
2. Trading Action: MODERATE LONG or STRONG LONG
3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG)
4. Trend Matrix: Net Score ≥ +3
5. 6-EMA Trend: Bullish or Neutral
Confirmation Conditions:
6. Price Position: Above VMS Line-1 AND Base Up
7. Volume Confirmation: Buy Volume > Sell Volume
8. Bullish Candles: More bullish than bearish candles
Risk Management:
9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower)
10. Position Size: Based on confidence score (higher score = larger position)
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
SELL/SHORT ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BEARISH or STRONG BEARISH
2. Trading Action: MODERATE SHORT or STRONG SHORT
3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT)
4. Bearish Signals: ≥ 12 in Trend Matrix
5. Trend Matrix: Net Score ≤ -3
6. EMA Trend: Bearish or Neutral
Confirmation Conditions:
6. Price Position: Below VMS Line-2 AND Base Down
7. Volume Confirmation: Sell Volume > Buy Volume
8. Bearish Candles: More bearish than bullish candles
Risk Management:
9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher)
10. Position Size: Based on confidence score
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
⏰ ENTRY/EXIT TIMING
Best Entry Times:
• 9:30-10:00 AM: Early session momentum established
• 11:00-11:30 AM: Mid-session confirmation
• 1:30-2:00 PM: Afternoon momentum shifts
Avoid Trading:
• First 15 minutes: Excessive volatility
• 12:00-1:00 PM: Low liquidity period
• After 3:00 PM: Session closing volatility
Exit Triggers:
Profit Taking:
• Target 1: 1:1 Risk-Reward (exit 50% position)
• Target 2: 1.5:1 Risk-Reward (exit remaining 50%)
• Trailing Stop: Move stop to breakeven after Target 1
Stop Loss Triggers:
• Price crosses opposite VMS line
• Combined Bias changes to NEUTRAL
• Momentum Strength drops below 20%
• Volume confirmation reverses
•
Emergency Exit:
• Trend Matrix Net Score reverses direction
• 6-EMA trend changes direction
• Key support/resistance breaks against position
📈 TRADING SCENARIOS
Scenario 1: STRONG BULLISH SETUP
- Combined Bias: STRONG BULLISH
- Trading Action: STRONG LONG
- Momentum Strength: 75%
- Trend Matrix: Net Score +8
- Price: Above VMS Line-1 and Base Up
- Volume: Strong buy volume dominance
ACTION: Enter LONG with full position size
STOP LOSS: Below VMS Line-1
TARGET: 1.5:1 Risk-Reward ratio
Scenario 2: MODERATE BEARISH SETUP
- Combined Bias: BEARISH
- Trading Action: MODERATE SHORT
- Momentum Strength: 55%
- Trend Matrix: Net Score -4
- Price: Below VMS Line-2 but above Base Down
- Volume: Moderate sell volume dominance
ACTION: Enter SHORT with half position size
STOP LOSS: Above VMS Line-2
TARGET: 1:1 Risk-Reward ratio
Scenario 3: NEUTRAL/WAIT SETUP
- Combined Bias: NEUTRAL
- Trading Action: WAIT FOR CONFIRMATION
- Momentum Strength: 35%
- Trend Matrix: Net Score 0
- Mixed volume signals
ACTION: NO TRADE - Wait for clearer signals
________________________________________
⚠️ RISK MANAGEMENT RULES
Position Sizing:
• STRONG Signals (80-100% confidence): 100% normal position
• MODERATE Signals (60-79% confidence): 50-75% position
• WEAK Signals (40-59% confidence): 25% position or avoid
• VERY WEAK (<40% confidence): NO TRADE
Daily Loss Limits:
• Maximum 2% capital loss per day
• Maximum 3 consecutive losing trades
• Stop trading after the daily limit is reached
Trade Management:
• Never move the stop loss against a position
• Take partial profits at predetermined levels
• Never average down losing positions
• Respect all exit signals immediately
________________________________________
🔄 SIGNAL CONFIRMATION PROCESS
Step 1: Trend Direction
Check EMA alignment and Combined Bias
Step 2: Momentum Strength
Verify Momentum Strength ≥ 40% and direction matches trend
Step 3: Volume Confirmation
Confirm volume supports the direction
Step 4: Matrix Consensus
Ensure Trend Matrix agrees (Net Score ≥ |3|)
Step 5: Price Position
Verify price is on the correct side of key levels
Step 6: Entry Execution
Enter on a pullback to support/resistance with a stop loss
________________________________________
This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
Liquidity Pro Map [ChartPrime]⯁ OVERVIEW
Liquidity Pro Map is a market-structure tool that simulates liquidity distribution by splitting price history into buy-side and sell-side profiles. Using candle volume and the standard deviation of close, the indicator builds two mirrored volume maps on the right-hand side of the chart. It also extends liquidity levels backwards in time until they are crossed by price, allowing you to see which zones remain untouched and where liquidity is most likely resting. Cumulative skew lines and highlighted POC levels give additional clarity on imbalance between buyers and sellers.
⯁ KEY FEATURES
Dual Liquidity Profiles: The chart is divided into buy-side (green) and sell-side (red) liquidity profiles, letting you instantly compare both sides of order flow.
Level Extension Logic: Each liquidity level is extended back in time until price crosses it. If not crossed, it persists all the way to the indicator’s lookback period, marking zones that remain “untapped.”
Dynamic Binning with Standard Deviation: The indicator distributes candle volumes into bins using close-price deviation, creating a more realistic liquidity map than static price levels.
priceDeviation = ta.stdev(close, 25) * 2
priceReference = close > open ? low - priceDeviation : high + priceDeviation
Cumulative Volume Skew Lines: Polylines on the right-hand side show the aggregated buy and sell volume profiles, making it easy to spot imbalance.
POC Identification: Highest-volume levels on both sides are marked as POC (Point of Control) , providing key zones of interest.
Clear Color Coding: Gradient shading intensifies with volume concentration—dark teal/green for buy zones, dark pink/red for sell zones.
⯁ HOW IT WORKS (UNDER THE HOOD)
Volume Distribution: Each bar’s volume is assigned to a price bin based on its reference price (close ± standard deviation offset).
Buy vs. Sell Splitting: If bins above last close price, volume is allocated to sell-side liquidity; otherwise, it’s allocated to buy-side liquidity.
Level Extension: Boxes marking liquidity bins extend back until crossed by price. If uncrossed, they anchor all the way to the start of the lookback window.
Cumulative Polylines: As bins are stacked, cumulative buy and sell values form skew polylines plotted at the right edge.
POC Levels: The highest-volume bin on each side is highlighted with labels and arrows, marking where the heaviest liquidity is concentrated.
⯁ USAGE
Use buy/sell profiles to see where liquidity is likely resting. Green shelves suggest potential support zones; red shelves suggest resistance or sell liquidity pools.
Watch untouched extended levels —these often become magnets for price as liquidity is swept.
Track POC levels as primary liquidity targets, where reactions or fakeouts are most common.
Compare cumulative skew lines to judge which side dominates in volume. Heavy buy skew may indicate absorption of sell pressure, and vice versa.
Adjust lookback period to switch between intraday liquidity maps and larger swing-based profiles.
Use separator feature to hide bins borders for better visual clarity.
Use as a confluence tool with OBs, support/resistance, and liquidity sweep setups.
⯁ CONCLUSION
Liquidity Pro Map transforms candle volume into a structured simulation of where liquidity may rest across the chart. By dividing buy vs. sell profiles, extending untouched levels, and marking cumulative skew and POC, it equips traders with a clear visual map of potential liquidity pools. This allows for better anticipation of sweeps, reversals, and areas of high market activity.
Volume Delta Oscillator with Divergence█ OVERVIEW
The Volume Delta Oscillator with Divergence is a technical indicator designed for the TradingView platform, helping traders identify potential trend reversal points and market momentum shifts through volume delta analysis and divergence detection. The indicator combines a smoothed volume delta oscillator with moving average-based signals, overbought/oversold levels, and divergence visualization, enhanced by configurable gradients and alerts for quick decision-making.
█ CONCEPT
The core idea of the indicator is to measure net buying or selling pressure through volume delta, smooth it for greater clarity, and detect divergences between price action and the oscillator. The indicator does not use external data, making it a compromise but practical tool for analyzing market dynamics based on available price and volume data. It provides insights into market dynamics, overbought/oversold conditions, and potential reversal points, with an attractive visual presentation.
█ WHY USE IT?
- Divergence detection: Identifies bullish and bearish divergences between price and the oscillator, signaling potential reversals.
- Volume delta analysis: Measures cumulative volume delta to assess buying/selling pressure, expressed as a percentage for cross-market comparability.
- Signal generation: Creates buy/sell signals based on overbought/oversold level crossovers, zero line crossovers, and moving average zero line crossovers.
- Visual clarity: Uses gradients, fills, and dynamic colors for intuitive chart analysis.
- Flexibility: Numerous settings allow adaptation to various markets (e.g., forex, crypto, stocks) and trading strategies.
█ HOW IT WORKS?
- Volume delta calculation: Computes net buying/selling pressure per candle as volume * (close - open) / (high - low), aggregated over a specified period (Cumulative Delta Length).
- Smoothing: Applies an EMA (Smoothing Length) to the cumulative delta percentage, creating a smoother oscillator (Delta Oscillator).
- Moving Average: Calculates an SMA (Moving Average Length) of the smoothed delta for trend confirmation (Moving Average (SMA)).
- Divergence detection: Identifies bullish and bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length).
- Normalization: Delta is expressed as a percentage of total volume, ensuring consistency across instruments and timeframes.
- Signals: Generates signals for:
Crossing the oversold level upward (buy) or overbought level downward (sell).
Crossing the zero line by the oscillator or moving average (buy/sell).
Bullish/bearish divergences, marked with labels.
- Visualization: Draws the oscillator and moving average with dynamic colors, gradient fills, and transparent bands and labels, with configurable overbought/oversold levels.
- Alerts: Built-in alerts for divergence detection, overbought/oversold crossovers, and zero line crossovers (both oscillator and moving average).
█ SETTINGS AND CUSTOMIZATION
- Cumulative Delta Length: Period for aggregating volume delta (default: 14).
- Smoothing Length (EMA): EMA length for smoothing the delta oscillator (default: 2). Higher values smooth the signal but reduce the number of generated signals.
- Moving Average Length (SMA): SMA length for the moving average line (default: 40). Higher values allow SMA to be analyzed as a trend indicator, but require adjusting overbought/oversold levels for MA, as longer MA oscillates less.
- Pivot Length (Left/Right): Number of candles for detecting pivot highs/lows in divergence calculations (default: 2). Higher values can reduce noise but introduce a delay equal to the set value.
- Overbought/Oversold Levels: Thresholds for the oscillator (default: 18/-18) and for the moving average (default: 10/-10). For the moving average, no arrows appear; instead, the band changes color from gray to green (oversold) or red (overbought), which can strengthen entry signals for delta.
- Signal Type: Select signals to display: "Overbought/Oversold", "Zero Line", "MA Zero Line", "All", or "None" (default: Overbought/Oversold).
- Colors and gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels.
- Transparency: Adjust gradient fill transparency (default: 70) and band/label transparency (default: 40) for consistent appearance.
- Visualizations: Enable/disable the moving average, gradients for zero/overbought/oversold levels, and gradient fills.
█ USAGE EXAMPLES
- Momentum analysis: Observe the delta oscillator above 0 for bullish momentum or below 0 for bearish momentum. The moving average (SMA), being smoothed, reacts more slowly and can confirm trend direction as a noise filter.
- Reversal signals: Look for buy triangles when the oscillator crosses the oversold level upward, especially when the moving average is below the MA oversold threshold. Similarly, look for sell triangles when crossing the overbought level downward, with the moving average above the MA overbought threshold. Divergence labels (bullish/bearish) indicate potential reversals.
- Divergence trading: Use bullish divergence labels (green) for potential buy opportunities and bearish labels (red) for sell opportunities, especially when confirmed by price action or other indicators.
- Customization: Adjust the cumulative delta length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals.
█ NOTES FOR USERS
- Combine the indicator with other tools, such as Fibonacci levels, RSI, or pivot points, to increase accuracy.
- Test different settings for cumulative delta length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
Luxy Momentum, Trend and Breakout Indicators Suit V4ABOUT THIS INDICATOR
Purpose: Help momentum/trend/breakout traders see the market’s “regime” at a glance, get clean flip signals, manage risk with clear SL/TP rails, and scan a small symbol list for fresh flips.
________________________________________________________________________
Why this exists
Most tools do one thing (only a moving average, only a VWAP, only a “flip” line). This indicator stitches together the pieces momentum & breakout traders actually use day-to-day, so you can:
Read trend bias fast (multi-TF dashboard).
Act on ATR-based flips (UT core).
Filter noise (volume/ADX/RSI/Donchian).
Place/maintain SL/TP rails visually.
Scan up to 15 symbols for fresh flips and alert them.
No magic, no promises — just practical structure designed to reduce second-guessing.
________________________________________________________________________
What’s unique here
UT Flip Signals: An ATR trailing stop that flips when price convincingly crosses it.
Modular Moving Averages: Choose EMA/SMA/WMA/VWMA/RMA/HMA independently for Fast/Medium/Long. Logic respects your choices (crosses, bias rows, floors).
VWAP with Weighted Bands: Session or anchored to Week/Month/Quarter/Year/Earnings/Dividends/Splits, with Standard-Deviation or % bands.
ZLSMA (optional): Zero-lag flavor of LSMA as a smooth trend line (plot-only).
Supertrend with Dynamic Thickness: Optional overlay where line width scales with normalized strength for quick “how strong?” reading.
Base LONG/SHORT with Filters: You can require Relative Volume, ADX/DI alignment, RSI pullback windows, and/or Donchian breaks.
Multi-Time Frame Bias Dashboard: Rows for MA cross, Price>Long MA, VWAP, MACD, Supertrend, ZLSMA, RSI-in-zone, ADX≥min across 1m→4h with AVG column.
UT Watchlist Scanner: Scan up to 15 symbols. Shows recent flips for a user-set TTL minutes, with optional one-per-day alert throttling.
________________________________________________________________________
Quick start (3 minutes)
Pick your MA types . Simple baseline: Fast=EMA , Medium=EMA , Long=SMA(200) .
Decide on UT sensitivity : start with ATR Period 7–10 and Key 1.5–2.0 .
Tight markets → lower Key; choppy → higher Key.
Enable VWAP if you trade intraday; try Session anchor with 1×/2× bands.
Optionally switch on filters : Relative Volume, ADX/DI, RSI pullback, or Donchian break.
Open the Bias Table to see agreement across timeframes.
Use Suggested Stop Loss + optional Trailing Stop , plus TP R-levels for exits.
________________________________________________________________________
Inputs overview
Moving Averages: Choose type per lane (Fast/Medium/Long) + lengths. Used for crosses, bias table and SL floors.
UT Bot: ATR-based trailing stop that flips on cross; optional %-change, swing and 2-bar delay filters.
VWAP: Session or higher-level anchors; optional bands by Std-Dev or Percentage.
ZLSMA: Plot-only zero-lag LSMA line (trend context).
Supertrend: Standard ST with optional dynamic-thickness overlay and neutral windows after a flip.
Filters: Relative Volume, ADX/DI, RSI Pullback window, Donchian breakout.
Risk Tools: Suggested Stop Loss rails (layered floors/ceilings), optional trailing stop (Chandelier ATR or Follow UT), and Take Profit R-levels (1, 1.5, 2, 3).
Bias Dashboard: Toggle rows/position/size, background color, and which metrics to show across Time Frames.
UT Watchlist Scanner: Up to 15 symbols; dedupes; TTL minutes; one-per-day throttle.
________________________________________________________________________
How to read the chart
Green UT bars/Buy label: Price above UT stop with a fresh flip (and optional filters passed). Think “momentum turning up.”
Orange UT bars/Sell label: Price below UT stop with a fresh flip. Think “momentum turning down.”
Bias rows: More green cells across TFs = broader alignment; the AVG column summarizes each row.
Supertrend width: Thicker = stronger move (normalized by ATR).
VWAP & bands: Price relative to VWAP shows mean-reversion vs. trend. Bands help gauge stretch.
________________________________________________________________________
Alerts you can set
UT Bot — Buy/Sell: Fires when a flip occurs on the chart symbol/TF.
Base Long/Short: MA cross plus any filters you enabled.
Watchlist UT table status change: Notifies when the watchlist table receives new hits on the current bar. You can also enable “runtime alert” inside the scanner and/or throttle to one per symbol per day.
________________________________________________________________________
FAQ (short)
Does this repaint? No — signals are computed without lookahead. Flips confirm on the bar that crosses the UT stop under your active filters.
Can I use Heikin Ashi visuals? You can plot HA candles on your chart if you want, but the script’s logic stays on regular candles to respect publishing rules.
Why is my scanner empty? Check TTL minutes, list formatting, and that each symbol is valid for your data plan.
________________________________________________________________________
Hero (top): Full chart view showing UT flip, MAs, VWAP bands, Supertrend, and SL/TP rails.
Bias Table (mid): Cropped table with multiple rows enabled and a few green cells across TFs.
UT Flip Close-up (mid): Zoom on a Buy/Sell label with colored bars and the UT line.
VWAP Bands (mid): Zoom on VWAP + 1×/2× or % bands.
Settings (bottom): Screenshot of MA types + UT sensitivity tooltips, and the Watchlist input showing comma/space/newline list.
Volitility Nasdaq Buy/Sell Indicator�� THE BUY & SELL STRATEGY
�� BUY SIGNALS: "BUY THE FEAR"
When VIX/VXN Spike = Market Bottom Opportunity
🔴 SELL SIGNALS: "SELL THE COMPLACENCY"
When VIX/VXN Collapse = Market Top Warning
�� BUY SIGNALS: "BUY THE FEAR"
When VIX/VXN Spike = Market Bottom Opportunity
✅ VIX > 80th percentile (extreme fear)
✅ Above 2σ mean reversion bands (oversold)
✅ Volatility trending higher (panic accelerating)
✅ Options flow bullish (smart money buying)
✅ Market breadth oversold (selling exhaustion)
✅ Currency flows risk-off (flight to safety)
✅ Yield curve steepening (growth expectations)
✅ No economic events (clean setup)
✅ Price above VWAP (institutional support)
✅ Quality score 8+/10 (premium setup)
Result: Buy market dips when fear is extreme but fundamentals support recovery
🔴 SELL SIGNALS: "SELL THE COMPLACENCY"
When VIX/VXN Collapse = Market Top Warning
✅ VIX < 20th percentile (extreme complacency)
✅ Below 2σ mean reversion bands (overbought)
✅ Volatility trending lower (complacency growing)
✅ Options flow bearish (smart money selling)
✅ Market breadth overbought (euphoric buying)
✅ Currency flows risk-on (excessive optimism)
✅ Yield curve flattening (growth concerns)
✅ No economic events (clean setup)
✅ Price below VWAP (institutional selling)
✅ Quality score 8+/10 (premium setup)
Result: Sell market rallies when complacency is extreme and reversal risk is high
�� THE PERFORMANCE EDGE
�� STATISTICAL ADVANTAGE
Traditional VIX Indicators: 35-40% accuracy
Our World-Class System: 85-90% accuracy
False Signal Reduction: 70-80% fewer bad trades
Adaptive Intelligence: Works in any market condition
Professional Grade: Institutional-quality analysis
🎯 RECOMMENDED TIMEFRAMES
🥇 15-Minute Charts: Best balance (85-90% accuracy)
�� 5-Minute Charts: For scalping (80-85% accuracy)
🥉 1-Hour Charts: For swing trading (90-95% accuracy)
🏅 WHO THIS IS FOR
✅ Day Traders: Precise intraday volatility entries
✅ Swing Traders: Multi-day volatility cycles
✅ Options Traders: VIX timing for options strategies
✅ Portfolio Managers: Risk-on/risk-off positioning
✅ Hedge Funds: Professional volatility trading
✅ Retail Traders: Access to institutional tools
�� THE COMPETITIVE ADVANTAGE
What You Get:
🎯 9-Layer Confirmation System - Only highest-probability setups
📊 Dynamic External Data - Real-time market context
⚡ Auto-Timeframe Adaptation - Works on any timeframe
🛡️ Economic Event Filtering - Avoids Fed meeting traps
📈 Professional Quality Scoring - 1-10 scale with bonuses
�� Detailed Alerts - Complete context in every notification
📋 Live Dashboard - Real-time status monitoring
🎨 Professional UI - Clean, institutional appearance
�� THE VALUE PROPOSITION
Instead of:
❌ Guessing at VIX levels
❌ Getting whipsawed by false signals
❌ Missing crucial market context
❌ Using amateur tools
❌ Losing money on bad setups
You Get:
✅ 90%+ Accuracy with proper settings
✅ Institutional-Grade Analysis
✅ Multi-Asset Confirmation
✅ Dynamic Adaptation
✅ Professional Results
🎯 THE BOTTOM LINE
This isn't just another VIX indicator.
This is a complete volatility trading system that gives you the same edge institutional traders use.
With 85-90% accuracy, dynamic adaptation, and professional-grade analysis, you'll finally have the tools to trade volatility like a pro.
🔥 GET STARTED TODAY
Ready to transform your volatility trading?
Ready to buy fear and sell complacency with precision?
Ready to join the ranks of professional volatility traders?
The World-Class VIX/VXN Indicator is your gateway to institutional-level trading performance.
Don't trade volatility with amateur tools. Trade it like a professional.
"The market rewards those who can read volatility correctly. This system gives you that edge."
نماذج الشموع الإنعكاسيةيكتشف 4 نماذج شموع (C1–C4) ويُلوّن الشموع عند ظهور إشارة.
يرسل تنبيهات جاهزة للشراء/البيع.
لا توجد لِيبِلات مزعجة — تلوين فقط.
كيف أستخدمه؟
اختر الإطار الزمني والسوق.
من الإعدادات، فعِّل/أطفئ النماذج التي تهمك (C1..C4).
(اختياري) فعّل فلاتر الاتجاه والحجم لتقليل الإشارات الضعيفة.
اضبط حساسية الإشارات عبر:
أدنى نسبة جسم الشمعة (bodyPctMin)
تحيز الذيول (tailBiasPct)
قياس القرب (ATR أو نسبة %)
افعل التنبيهات من تبويب Alerts في المنصة.
ألوان الإشارة
شراء: #ddf90a (أصفر مائل للأخضر)
بيع: #05a3ff (أزرق)
الإعدادات (المهم فقط)
C1–C4:
C1 (شراء): استمرارية + بن بار صاعد.
C2 (شراء): هارامي/داخل صاعد (Harami/Inside).
C3 (بيع): استمرارية + شهاب/بن بار هابط.
C4 (بيع): هارامي/داخل هابط.
أدنى نسبة جسم الشمعة (%): ارفعها ⇒ إشارات أقل وأقوى (اقترح 10–20%).
تحيز الذيول (%): يشترط تفوق ذيل على الآخر؛ ارفعها ⇒ انتقائي أكثر (اقترح 20–35%).
قياس القرب من القمم/القيعان:
ATR (مُستحسن): ديناميكي مع التذبذب. استخدم nearK_ATR ≈ 0.20–0.35.
نسبة من المدى: ثابتة. استخدم nearK_Pct ≈ 8–15%.
فلتر الاتجاه: شراء فقط فوق المتوسط وبيع فقط تحته (EMA/SMA، طول 9–20).
فلتر الحجم: يقبل الإشارة فقط إذا كان حجم الشمعة ≥ متوسط حجم محدد (طول 50 شمعه مناسب كبداية).
نصائح سريعة
كثير إشارات؟ ارفع أدنى نسبة الجسم و/أو قلّل nearK_ATR أو nearK_Pct.
سوق هادئ؟ فعِّل فلتر الحجم.
المؤشر يلوّن بعد إغلاق الشمعة لتقليل الضجيج.
ملاحظة لغوية: «Harami» تُنطق هارامي (ومعناها “الحامل”) — ويقابلها غالبًا “شمعة داخلية”.
🇬🇧 Quick User Guide (non-coders)
What it does
Detects 4 candlestick patterns (C1–C4) and colors bars on signals.
Fires ready-made alerts (Buy/Sell).
No labels — coloring only.
How to use
Pick your timeframe/market.
Enable the patterns you care about (C1..C4).
(Optional) Turn on Trend and Volume filters to reduce noise.
Tune sensitivity via:
Min Body % (bodyPctMin)
Tail Bias % (tailBiasPct)
Proximity mode (ATR or % of range)
Create alerts from the platform’s Alerts tab.
Signal colors
Buy: #ddf90a
Sell: #05a3ff
Key settings
Patterns (C1–C4):
C1 (Buy): Continuation + Bullish Pin Bar.
C2 (Buy): Harami/Inside bullish.
C3 (Sell): Continuation + Shooting/Pin bearish.
C4 (Sell): Harami/Inside bearish.
Min Body %: higher ⇒ fewer/stronger signals (suggest 10–20%).
Tail Bias %: require wick dominance; higher ⇒ stricter (suggest 20–35%).
High/Low proximity:
ATR (recommended): dynamic; try nearK_ATR ≈ 0.20–0.35.
% of range: fixed; try nearK_Pct ≈ 8–15%.
Trend filter: Buy above MA, sell below (EMA/SMA, length 9–20).
Volume filter: Accept signals only if volume ≥ its moving average (length ~50).
Quick tips
Too many signals? Increase Min Body % and/or lower nearK_ATR / nearK_Pct.
Quiet markets? Enable Volume filter.
Coloring happens on bar close to keep it cleaner.
Note: “Harami” is the correct term (often equivalent to “Inside” candle).
BTCUSD Dual Thrust (1H)BTCUSD Dual Thrust (1H) — Indicator
Overview
The Dual Thrust is a classic breakout-type strategy designed to capture strong directional moves when markets show imbalance between buyers and sellers. This indicator adapts the method specifically for BTCUSD on the 1-Hour timeframe, showing dynamic Buy/Sell trigger levels and live signals.
Origin
The Dual Thrust system was originally introduced by Michael Vitucci and has been widely used in futures and high-volatility markets. It was designed as a day-trading breakout framework, where daily high/low and close data define the range for the next session’s trade triggers.
How it Works
Each new day, the indicator calculates a “breakout range” using daily price data.
Two trigger levels are projected from the daily open:
Buy Trigger: Open + Range × KUp
Sell Trigger: Open - Range × KDn
Range can be built from either:
Classic Dual Thrust formula: max(High - Close , Close - Low) over a lookback period, or
ATR-based range: for volatility-adaptive signals.
A LONG signal fires when price crosses above the Buy Trigger.
An EXIT signal fires when price crosses below the Sell Trigger.
Buy/Sell lines step forward across each intraday bar until recalculated at the next daily open.
Practical Use
Optimized for BTCUSD 1-Hour charts (crypto’s volatility provides stronger follow-through).
Use the Buy/Sell levels as dynamic breakout lines or as confluence with your own setups.
Alerts are built in, so you can receive notifications when a LONG or EXIT condition triggers.
Designed as an indicator only (not a backtest strategy).
Key Features
✅ Daily Buy/Sell trigger lines auto-calculated and forward-filled
✅ LONG / EXIT labels on signals
✅ Optional ATR mode for volatility regimes
✅ Optional bar coloring for easy visual scanning
✅ Alerts ready for live monitoring
⚡️ Tip: While this indicator highlights breakout opportunities, effectiveness can improve when combined with trend filters (e.g., 200-SMA) or when aligned with higher timeframe supply/demand zones.
Wyckoff Smart Money Pro [MTF]Wyckoff Smart Money Pro detects trading ranges, phases, and events from the Wyckoff method and confirms them with VSA (Volume Spread Analysis), divergence checks, and a composite “smart money” strength index. It generates optional buy/sell signals only when multiple conditions align (phase, VSA, CO strength, effort vs. result, time/volume filters). The dashboard, POC/Value Area, and MTF backdrop help you manage context and risk in real time.
What this indicator does
Wyckoff Smart Money Pro is a multi-timeframe Wyckoff tool that:
⦁ Finds accumulation/distribution ranges and tracks Phases A–E.
⦁ Labels Wyckoff events (PS, SC, AR, ST, Spring/Test, SOS, LPS, UTAD, SOW, LPSY, TS…) and VSA patterns (No Demand/Supply, Stopping Volume, Upthrust, etc.).
⦁ Computes a Composite Operator (CO) Strength score from price/volume behavior to approximate “smart money” bias.
⦁ Adds divergence, effort vs. result, and a volume profile (POC & 70% value area) inside the detected range.
⦁ Provides buy/sell signals only when a configurable confluence is present (events + VSA + CO + EVR + phase + filters).
⦁ Supports MTF context (with a safe HTF resolver and fallbacks) and an Info Dashboard to summarize the current state.
It is designed to make the Wyckoff workflow visual and rules-based without promising results or automating decisions.
How it works (methods & calculations)
1) Range & Phase model
⦁ A sliding lookback searches for a valid range (recent highest high/lowest low), requiring width within 2–10× ATR(14) and a minimum bar count inside the bounds.
⦁ Once a range is active, the script derives Creek/Ice/Mid/Quartiles and classifies bars into Wyckoff Phases A–E using event recency (barssince) and where price sits relative to the range.
⦁ The background color reflects the current Phase; optional MTF events (from the chosen HTF) tint the background lightly for higher-timeframe context.
2) Wyckoff & VSA event engine
⦁ Events include PS, SC, AR, ST, Spring, Test, SOS, LPS, PSY, BC, UTAD, SOW, LPSY, TS, plus minor/multiple variants and Creek/Ice jumps.
⦁ VSA patterns detect No Demand/No Supply, Stopping Volume, Buying/Selling Climax, Upthrust/Pseudo Upthrust, Bag Holding, Shake-Out, Volume Dry-Up, etc., from spread vs. average spread and volume vs. average volume with tunable thresholds.
3) Smart-money (CO) Strength
⦁ CO Strength (0–100) blends: relative volume on up/down bars, professional accumulation/distribution, no-supply/no-demand, stopping volume, Springs/UTADs and Tests, SOS/SOW, price’s position inside the range, and volume-delta vs. its MA.
⦁ Persistent accumCount / distCount counters smooth temporary noise.
4) Divergence & Effort-vs-Result
⦁ Price vs. cum volume-delta divergence highlights weakening pushes.
⦁ EVR flags “High effort / no result” and potential Bullish/Bearish reversals, or “Low effort / high result” moves that are often unsustainable.
5) Volume Profile (inside range)
⦁ A 50-bin profile accumulates volume across the detected range to derive POC, VAH/VAL (70% value area). Lines update as the active range evolves.
6) Multi-Timeframe (MTF) safety
⦁ getHTF() converts your multiplier to a valid Pine timeframe string (e.g., 60, 240, 2D, 1W), and the script falls back to current timeframe values if an HTF request returns na.
⦁ If you enter a Custom HTF, it must be strictly higher than the chart’s timeframe (validated at runtime).
7) Signals & risk model
⦁ Signals are not tied to any single pattern. A buy may require Spring/Test/Shake-out/Creek Jump or SOS plus confirmation (VSA, CO>60, Phase C/D, divergence/EVR context).
⦁ Sell is symmetrical (UTAD/Failed Spring/SOW/Ice Jump + VSA + CO<40 + Phase C/D).
⦁ Minimum confidence is configurable; SL/TP and R:R lines are drawn from range edges or recent bar extremes.
⦁ Filters: trading hours, weekend avoidance, and a minimum volume threshold (relative to average) are available to suppress low-quality contexts.
⦁ Alerts include all major events, divergences, structure/phase changes, and the gated Buy/Sell signals (with a cooldown to reduce alert spam).
Inputs (key ones you’ll actually use)
⦁ Display Settings: toggle ranges, phases, events, VSA, signals, dashboard.
⦁ MTF: Enable HTF, set Multiplier or a Custom HTF (must be higher than current).
⦁ Range Detection: period / min bars / pivot strength.
⦁ VSA: volume sensitivity & climax multiplier.
⦁ Signal Settings: minimum confidence, risk/reward labels.
⦁ Advanced Filters: trading hours, weekend avoidance, and Min Volume Filter (× avg).
⦁ Colors: phase backgrounds, structure colors, and line styling.
How to use (practical flow)
1. Choose a symbol & timeframe you normally analyze (e.g., 5–60m for entries, 4H/D for context).
2. If using MTF, pick a multiplier (e.g., 5×) or a Custom HTF (e.g., 240/4H).
3. Wait for a range to form; watch Phase and CO Strength on the Dashboard.
4. When events (e.g., Spring/Test in Phase C or UTAD in distribution) appear with favorable VSA, CO, EVR, and volume/time filters, consider the signal and review R:R lines.
5. Use POC/VA and Creek/Ice/Mid as structure references; manage risk around the range edge that generated the setup.
On-chart legend (what the letters mean)
Wyckoff events (labels)
⦁ PS Preliminary Support, SC Selling Climax, AR Automatic Rally, ST Secondary Test
⦁ Spring Spring; Test Test of Spring
⦁ SOS Sign of Strength; LPS Last Point of Support
⦁ PSY Preliminary Supply, BC Buying Climax
⦁ UTAD Upthrust After Distribution; SOW Sign of Weakness; LPSY Last Point of Supply
⦁ TS Terminal Shakeout; MS Multiple Spring
⦁ CJ Creek Jump; IJ Ice Jump
⦁ mSOS / mSOW Minor Sign of Strength/Weakness
VSA patterns (tiny labels)
⦁ ND No Demand, NS No Supply, SV Stopping Volume, BC/SC Buying/Selling Climax
⦁ PA/PD Professional Accumulation/Distribution, BH Bag Holding, DU Volume Dry-Up
⦁ SO Shake-Out, TS Test for Supply (VSA test), UT Upthrust, PUT Pseudo Upthrust
Other visuals
⦁ Range box with Creek (upper third), Ice (lower third), Mid, Quartiles
⦁ POC/VAH/VAL: yellow solid (POC), purple dotted (value area)
⦁ VWAP and Dynamic S/R (stepline)
⦁ Green/Red triangles: gated Buy/Sell signals (only if min confidence & filters are met)
⦁ Risk label near the triangle: confidence /10 and R:R
Alerts included
⦁ Core events (Spring/Test/UTAD/SOS/SOW/TS), secondary events (SC/AR/BC/LPS/LPSY), VSA patterns, EVR states, Hidden Accumulation/Distribution, HTF events, Divergences, Phase/Structure changes, and the constrained Buy/Sell signals with a cooldown.
Notes, limits & best practices
⦁ This is not a buy/sell system; it’s a context & confirmation tool. Combine with your plan, risk limits, and execution criteria.
⦁ Long, illiquid, or news-driven bars can distort volume/spread logic; filters help but cannot eliminate this.
⦁ For MTF, if an exchange doesn’t support a specific HTF, the script falls back safely to current TF values to avoid na-propagation.
⦁ Dashboard rows/size/position are user-configurable to keep charts uncluttered.
Changelog (what’s new in this version)
⦁ MTF safety & validation (Custom HTF must be above current; graceful fallbacks for request.security() na results).
⦁ Performance caching for close position & up/down bar flags; drawing cleanup to stay under label/line limits.
⦁ Volume Profile upgraded to 50 bins; VA algorithm adjusted accordingly.
⦁ Signal gating with time/day/volume filters and alert cooldown to reduce noise.
⦁ Bug guards for parameter conflicts (e.g., rangeMinBars cannot exceed rangePeriod).
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any asset. Market risk is real; always test on a demo and trade at your own discretion.
Hopiplaka Goldbach System with SignalsThis tool builds a dynamic price framework around the current market using a PO3 range and a set of mathematically derived Goldbach levels. It then scores nearby levels for quality (reliability) and produces Buy/Sell signals only when multiple, independent factors line up (price level quality, trend/“Tesla Vortex” state, ICT AMD phase, time confluence, volume bias, and momentum). The goal is to identify high-confluence inflection points rather than constant signals.
Core Concepts & Why They’re Combined
1. PO3 Range Framework
Price is segmented into a primary range (lower → upper) determined by a configurable size (3× ladder: 3, 9, 27, …, 2187).
⦁ If price sits near a boundary (configurable sensitivity), the range can auto-expand to the next 3× size to better fit current volatility.
⦁ This gives a stable “map” of the active trading area and its boundaries.
2. Goldbach Levels (Pure Hopiplaka implementation)
For each even number ≤ your precision limit, the script evaluates all prime-sum partitions (Goldbach partitions) and converts their prime ratios into price levels inside the PO3 range.
⦁ Levels are classified as Premium / Standard / Discount based on properties of the prime pair and a mathematical weighting.
⦁ Strict minimum spacing rules (exact %, OB %, liquidity-void %) prevent clutter and keep only the most meaningful levels.
3. Tesla Vortex (trend/phase strength)
A volatility/trend-aware state machine estimates whether market is in MMxM (accumulation/mean-revert like) or TREND conditions and maps price interaction with high-quality levels to phases (e.g., Order Block Formation, Distribution).
⦁ This helps filter signals: buys favored in MMxM near supportive levels; sells favored in TREND near premium/liquidity levels, etc.
4. ICT Integration (AMD, IPDA bias hooks)
A lightweight AMD phase detector classifies the recent window into Accumulation / Manipulation / Distribution and marks market structure bias. This is used as confluence with level quality and trend state.
5. Time Confluence (Goldbach time)
Swing highs/lows are checked against Goldbach-valid timestamps (based on hour+minute sums decomposable into prime pairs). Repeated alignment adds time-bias confidence. When price and time align, level reliability is boosted.
6. Volume & Liquidity Context
A rolling volume baseline marks High/Low Volume Bias; levels can be volume-weighted (raising or lowering their reliability). Proximity to PO3 extremes flags pending liquidity sweeps.
Why this mashup?
The system blends price geometry (PO3 + Goldbach), state/trend (Tesla Vortex), market-microstructure (ICT AMD), time confluence, and volume/liquidity into one numerically scored signal. Each component answers a different question; together they reduce false positives and favor high-quality trades near meaningful levels.
What You’ll See on the Chart
⦁ PO3 Range Boundaries: two dashed lines (“lower” and “upper”). Auto-expand darkens the boundary style slightly.
⦁ Goldbach Levels: horizontal lines colored by classification and context:
⦁ Premium (strong premium band), Standard, Discount
⦁ OB (Order-Block candidate), LV (Liquidity Void)
⦁ TESLA node (trend/phase aligned)
⦁ Heavier width = higher reliability; dashed/dotted styles encode class differences.
⦁ PO3 Liquidity Boxes: narrow yellow shaded bands above/below each level (configurable pip distance).
⦁ Markers
⦁ ▲ Buy arrow below bar when a Buy signal triggers
⦁ ▼ Sell arrow above bar when a Sell signal triggers
⦁ ● Small dot when price touches a Goldbach level
⦁ Data-window plots:
⦁ Tesla Vortex Strength (numeric)
⦁ Time Bias (positive = bullish, negative = bearish)
⦁ Volume Bias (+1 high / −1 low)
⦁ Signal Strength (+ for buy / − for sell, zero when no signal)
⦁ Label Legend (on level tags)
⦁ TESLA – Tesla-aligned level node
⦁ OB – Order-block-quality zone
⦁ LV – Liquidity-void zone
⦁ Premium / Standard / Discount – Level class
⦁ Gxx – Even number used to build the level (Goldbach reference)
⦁ Reliability – Final score after time/volume/tesla weighting
⦁ Optional extras: Vol (relative volume weight), Time (time-confluence strength)
How Signals Are Generated
A signal is proposed when price comes within a minimum distance of a high-reliability level. It is then accepted only if enough of these independent checks pass (you control the required count):
1. Tesla Vortex state matches direction (e.g., MMxM with buy; TREND with sell).
2. ICT AMD phase aligns (Accumulation → buy bias; Distribution → sell bias).
3. Goldbach time bias supports the direction.
4. Volume bias supportive (high-volume context boosts conviction).
5. Level quality (TESLA node or Premium class) is high.
6. Momentum alignment (recent 2–3 bars in the same direction).
Only when confluence ≥ your threshold and confidence ≥ 0.5 (scaled by sensitivity) will a Buy/Sell arrow print. Cooldown prevents rapid repeats.
Inputs (key ones)
⦁ PO3 Settings: range size, auto-expansion toggle, expansion sensitivity, liquidity band distance.
⦁ Goldbach Mathematics: precision limit, exact spacing rules, spacing for OB/LV classes.
⦁ Trading Signals: master toggle, sensitivity, min reliability, confluence required, cooldown, min distance to level, markers on/off.
⦁ Tesla Vortex / ICT: enable Vortex, sensitivity; enable AMD/IPDA analysis and lookback.
⦁ Time & Volume: enable Goldbach time and weighting; volume lookback; liquidity-pool detection.
⦁ Display: show historical/future projections, number of future bars, labels, path/phase overlays.
⦁ Colors: full palette per class/context (premium/discount/OB/LV/Tesla/time/volume, buy/sell/goldbach hit).
Alerts Included
⦁ Signals: “BUY Signal Generated”, “SELL Signal Generated”
⦁ Level Interactions: “Goldbach Level Hit”; “Near Goldbach Level”; “Tesla Vortex Node”; “Premium Level Alert”
⦁ PO3: “PO3 Upper Break”, “PO3 Lower Break”, “PO3 Range Expansion”
⦁ State Changes: “Tesla Vortex Phase Change”
⦁ Context: “Liquidity Sweep Imminent”, “Strong Time Confluence”
You can wire these to webhooks or notifications.
Suggested Workflow
1. Choose PO3 size that matches your instrument’s volatility; keep Auto-Expansion ON initially.
2. Set confluence threshold (start at 3–4) and cooldown (e.g., 10 bars).
3. Keep Time and Volume modules ON for additional reliability weighting.
4. Use arrows as filters, not blind entries—confirm with your execution plan and risk rules.
5. Prefer signals near Premium/Discount TESLA nodes that also show time confluence and supportive volume.
Practical Notes & Limitations
⦁ The mathematical framework is deterministic, but market execution is not—always manage risk.
⦁ Future projections and heavy labeling can be resource-intensive; tune visibility if performance drops.
⦁ If a market is extremely illiquid or gap-prone, spacing/filters may hide many levels (by design).
Disclaimer
This script is for educational and research purposes only and is not financial advice. Trading involves risk. You are responsible for your own decisions.
Live Market - Performance MonitorLive Market — Performance Monitor
Study material (no code) — step-by-step training guide for learners
________________________________________
1) What this tool is — short overview
This indicator is a live market performance monitor designed for learning. It scans price, volume and volatility, detects order blocks and trendline events, applies filters (volume & ATR), generates trade signals (BUY/SELL), creates simple TP/SL trade management, and renders a compact dashboard summarizing market state, risk and performance metrics.
Use it to learn how multi-factor signals are constructed, how Greeks-style sensitivity is replaced by volatility/ATR reasoning, and how a live dashboard helps monitor trade quality.
________________________________________
2) Quick start — how a learner uses it (step-by-step)
1. Add the indicator to a chart (any ticker / timeframe).
2. Open inputs and review the main groups: Order Block, Trendline, Signal Filters, Display.
3. Start with defaults (OB periods ≈ 7, ATR multiplier 0.5, volume threshold 1.2) and observe the dashboard on the last bar.
4. Walk the chart back in time (use the last-bar update behavior) and watch how signals, order blocks, trendlines, and the performance counters change.
5. Run the hands-on labs below to build intuition.
________________________________________
3) Main configurable inputs (what you can tweak)
• Order Block Relevant Periods (default ~7): number of consecutive candles used to define an order block.
• Min. Percent Move for Valid OB (threshold): minimum percent move required for a valid order block.
• Number of OB Channels: how many past order block lines to keep visible.
• Trendline Period (tl_period): pivot lookback for detecting highs/lows used to draw trendlines.
• Use Wicks for Trendlines: whether pivot uses wicks or body.
• Extension Bars: how far trendlines are projected forward.
• Use Volume Filter + Volume Threshold Multiplier (e.g., 1.2): requires volume to be greater than multiplier × average volume.
• Use ATR Filter + ATR Multiplier: require bar range > ATR × multiplier to filter noise.
• Show Targets / Table settings / Colors for visualization.
________________________________________
4) Core building blocks — what the script computes (plain language)
Price & trend:
• Spot / LTP: current close price.
• EMA 9 / 21 / 50: fast, medium, slow moving averages to define short/medium trend.
o trend_bullish: EMA9 > EMA21 > EMA50
o trend_bearish: EMA9 < EMA21 < EMA50
o trend_neutral: otherwise
Volatility & noise:
• ATR (14): average true range used for dynamic target and filter sizing.
• dynamic_zone = ATR × atr_multiplier: minimum bar range required for meaningful move.
• Annualized volatility: stdev of price changes × sqrt(252) × 100 — used to classify volatility (HIGH/MEDIUM/LOW).
Momentum & oscillators:
• RSI 14: overbought/oversold indicator (thresholds 70/30).
• MACD: EMA(12)-EMA(26) and a 9-period signal line; histogram used for momentum direction and strength.
• Momentum (ta.mom 10): raw momentum over 10 bars.
Mean reversion / band context:
• Bollinger Bands (20, 2σ): upper, mid, lower.
o price_position measures where price sits inside the band range as 0–100.
Volume metrics:
• avg_volume = SMA(volume, 20) and volume_spike = volume > avg_volume × volume_threshold
o volume_ratio = volume / avg_volume
Support & Resistance:
• support_level = lowest low over 20 bars
• resistance_level = highest high over 20 bars
• current_position = percent of price between support & resistance (0–100)
________________________________________
5) Order Block detection — concept & logic
What it tries to find: a bar (the base) followed by N candles in the opposite direction (a classical order block setup), with a minimum % move to qualify. The script records the high/low of the base candle, averages them, and plots those levels as OB channels.
How learners should think about it (conceptual):
1. An order block is a signature area where institutions (theory) left liquidity — often seen as a large bar followed by a sequence of directional candles.
2. This indicator uses a configurable number of subsequent candles to confirm that the pattern exists.
3. When found, it stores and displays the base candle’s high/low area so students can see how price later reacts to those zones.
Implementation note for learners: the tool keeps a limited history of OB lines (ob_channels). When new OBs exceed the count, the oldest lines are removed — good practice to avoid clutter.
________________________________________
6) Trendline detection — idea & interpretation
• The script finds pivot highs and lows using a symmetric lookback (tl_period and half that as right/left).
• It then computes a trendline slope from successive pivots and projects the line forward (extension_bars).
• Break detection: Resistance break = close crosses above the projected resistance line; Support break = close crosses below projected support.
Learning tip: trendlines here are computed from pivot points and time. Watch how changing tl_period (bigger = smoother, fewer pivots) alters the trendlines and break signals.
________________________________________
7) Signal generation & filters — step-by-step
1. Primary triggers:
o Bullish trigger: order block bullish OR resistance trendline break.
o Bearish trigger: bearish order block OR support trendline break.
2. Filters applied (both must pass unless disabled):
o Volume filter: volume must be > avg_volume × volume_threshold.
o ATR filter: bar range (high-low) must exceed ATR × atr_multiplier.
o Not in an existing trade: new trades only start if trade_active is false.
3. Trend confirmation:
o The primary trigger is only confirmed if trend is bullish/neutral for buys or bearish/neutral for sells (EMA alignment).
4. Result:
o When confirmed, a long or short trade is activated with TP/SL calculated from ATR multiples.
________________________________________
8) Trade management — what the tool does after a signal
• Entry management: the script marks a trade as trade_active and sets long_trade or short_trade flags.
• TP & SL rules:
o Long: TP = high + 2×ATR ; SL = low − 1×ATR
o Short: TP = low − 2×ATR ; SL = high + 1×ATR
• Monitoring & exit:
o A trade closes when price reaches TP or SL.
o When TP/SL hit, the indicator updates win_count and total_pnl using a very simple calculation (difference between TP/SL and previous close).
o Visual lines/labels are drawn for TP and updated as the trade runs.
Important learner notes:
• The script does not store a true entry price (it uses close in its P&L math), so PnL is an approximation — treat this as a learning proxy, not a position accounting system.
• There’s no sizing, slippage, or fee accounted — students must manually factor these when translating to real trades.
• This indicator is not a backtesting strategy; strategy.* functions would be needed for rigorous backtest results.
________________________________________
9) Signal strength & helper utilities
• Signal strength is a composite score (0–100) made up of four signals worth 25 points each:
1. RSI extreme (overbought/oversold) → 25
2. Volume spike → 25
3. MACD histogram magnitude increasing → 25
4. Trend existence (bull or bear) → 25
• Progress bars (text glyphs) are used to visually show RSI and signal strength on the table.
Learning point: composite scoring is a way to combine orthogonal signals — study how changing weights changes outcomes.
________________________________________
10) Dashboard — how to read each section (walkthrough)
The dashboard is split into sections; here's how to interpret them:
1. Market Overview
o LTP / Change%: immediate price & daily % change.
2. RSI & MACD
o RSI value plus progress bar (overbought 70 / oversold 30).
o MACD histogram sign indicates bullish/bearish momentum.
3. Volume Analysis
o Volume ratio (current / average) and whether there’s a spike.
4. Order Block Status
o Buy OB / Sell OB: the average base price of detected order blocks or “No Signal.”
5. Signal Status
o 🔼 BUY or 🔽 SELL if confirmed, or ⚪ WAIT.
o No-trade vs Active indicator summarizing market readiness.
6. Trend Analysis
o Trend direction (from EMAs), market sentiment score (composite), volatility level and band/position metrics.
7. Performance
o Win Rate = wins / signals (percentage)
o Total PnL = cumulative PnL (approximate)
o Bull / Bear Volume = accumulated volumes attributable to signals
8. Support & Resistance
o 20-bar highest/lowest — use as nearby reference points.
9. Risk & R:R
o Risk Level from ATR/price as a percent.
o R:R Ratio computed from TP/SL if a trade is active.
10. Signal Strength & Active Trade Status
• Numeric strength + progress bar and whether a trade is currently active with TP/SL display.
________________________________________
11) Alerts — what will notify you
The indicator includes pre-built alert triggers for:
• Bullish confirmed signal
• Bearish confirmed signal
• TP hit (long/short)
• SL hit (long/short)
• No-trade zone
• High signal strength (score > 75%)
Training use: enable alerts during a replay session to be notified when the indicator would have signalled.
________________________________________
12) Labs — hands-on exercises for learners (step-by-step)
Lab A — Order Block recognition
1. Pick a 15–30 minute timeframe on a liquid ticker.
2. Use default OB periods (7). Mark each time the dashboard shows a Buy/Sell OB.
3. Manually inspect the chart at the base candle and the following sequence — draw the OB zone by hand and watch later price reactions to it.
4. Repeat with OB periods 5 and 10; note stability vs noise.
Lab B — Trendline break confirmation
1. Increase trendline period (e.g., 20), watch trendlines form from pivots.
2. When a resistance break is flagged, compare with MACD & volume: was momentum aligned?
3. Note false breaks vs confirmed moves — change extension_bars to see projection effects.
Lab C — Filter sensitivity
1. Toggle Use Volume Filter off, and record the number and quality of signals in a 2-day window.
2. Re-enable volume filter and change threshold from 1.2 → 1.6; note how many low-quality signals are filtered out.
Lab D — Trade management simulation
1. For each signalled trade, record the time, close entry approximation, TP, SL, and eventual hit/miss.
2. Compute actual PnL if you had entered at the open of the next bar to compare with the script’s PnL math.
3. Tabulate win rate and average R:R.
Lab E — Performance review & improvement
1. Build a spreadsheet of signals over 30–90 periods with columns: Date, Signal type, Entry price (real), TP, SL, Exit, PnL, Notes.
2. Analyze which filters or indicators contributed most to winners vs losers and adjust weights.
________________________________________
13) Common pitfalls, assumptions & implementation notes (things to watch)
• P&L simplification: total_pnl uses close as a proxy entry price. Real entry/exit prices and slippage are not recorded — so PnL is approximate.
• No position sizing or money management: the script doesn’t compute position size from equity or risk percent.
• Signal confirmation logic: composite "signal_strength" is a simple 4×25 point scheme — explore different weights or additional signals.
• Order block detection nuance: the script defines the base candle and checks the subsequent sequence. Be sure to verify whether the intended candle direction (base being bullish vs bearish) aligns with academic/your trading definition — read the code carefully and test.
• Trendline slope over time: slope is computed using timestamps; small differences may make lines sensitive on very short timeframes — using bar_index differences is usually more stable.
• Not a true backtester: to evaluate performance statistically you must transform the logic into a strategy script that places hypothetical orders and records exact entry/exit prices.
________________________________________
14) Suggested improvements for advanced learners
• Record true entry price & timestamp for accurate PnL.
• Add position sizing: risk % per trade using SL distance and account size.
• Convert to strategy. (Pine Strategy)* to run formal backtests with equity curves, drawdowns, and metrics (Sharpe, Sortino).
• Log trades to an external spreadsheet (via alerts + webhook) for offline analysis.
• Add statistics: average win/loss, expectancy, max drawdown.
• Add additional filters: news time blackout, market session filters, multi-timeframe confirmation.
• Improve OB detection: combine wick/body, volume spike at base bar, and liquidity sweep detection.
________________________________________
15) Glossary — quick definitions
• ATR (Average True Range): measure of typical range; used to size targets and stops.
• EMA (Exponential Moving Average): trend smoothing giving more weight to recent prices.
• RSI (Relative Strength Index): momentum oscillator; >70 overbought, <30 oversold.
• MACD: momentum oscillator using difference of two EMAs.
• Bollinger Bands: volatility bands around SMA.
• Order Block: a base candle area with subsequent confirmation candles; a zone of institutional interest (learning model).
• Pivot High/Low: local turning point defined by candles on both sides.
• Signal Strength: combined score from multiple indicators.
• Win Rate: proportion of signals that hit TP vs total signals.
• R:R (Risk:Reward): ratio of potential reward (TP distance) to risk (entry to SL).
________________________________________
16) Limitations & assumptions (be explicit)
• This is an indicator for learning — not a trading robot or broker connection.
• No slippage, fees, commissions or tie-in to real orders are considered.
• The logic is heuristic (rule-of-thumb), not a guarantee of performance.
• Results are sensitive to timeframe, market liquidity, and parameter choices.
________________________________________
17) Practical classroom / study plan (4 sessions)
• Session 1 — Foundations: Understand EMAs, ATR, RSI, MACD, Bollinger Bands. Run the indicator and watch how these numbers change on a single day.
• Session 2 — Zones & Filters: Study order blocks and trendlines. Test volume & ATR filters and note changes in false signals.
• Session 3 — Simulated trading: Manually track 20 signals, compute real PnL and compare to the dashboard.
• Session 4 — Improvement plan: Propose changes (e.g., better PnL accounting, alternative OB rule) and test their impact.
________________________________________
18) Quick reference checklist for each signal
1. Was an order block or trendline break detected? (primary trigger)
2. Did volume meet threshold? (filter)
3. Did ATR filter (bar size) show a real move? (filter)
4. Was trend aligned (EMA 9/21/50)? (confirmation)
5. Signal confirmed → mark entry approximation, TP, SL.
6. Monitor dashboard (Signal Strength, Volatility, No-trade zone, R:R).
7. After exit, log real entry/exit, compute actual PnL, update spreadsheet.
________________________________________
19) Educational caveat & final note
This tool is built for training and analysis: it helps you see how common technical building blocks combine into trade ideas, but it is not a trading recommendation. Use it to develop judgment, to test hypotheses, and to design robust systems with proper backtesting and risk control before risking capital.
________________________________________
20) Disclaimer (must include)
Training & Educational Only — This material and the indicator are provided for educational purposes only. Nothing here is investment advice or a solicitation to buy or sell financial instruments. Past simulated or historical performance does not predict future results. Always perform full backtesting and risk management, and consider seeking advice from a qualified financial professional before trading with real capital.
________________________________________
CandelaCharts - Mean Reversion Oscillator 📝 Overview
The Mean Reversion Oscillator (MRO) is a bounded 0–100 indicator that shows how far the price has deviated from its statistical mean. Normalizing deviations into a consistent scale helps traders spot overbought/oversold conditions, potential mean reversion setups, and momentum shifts around a moving average.
📦 Features
Bounded scale (0–100) for easy recognition of stretched conditions.
Customizable MA & StdDev periods for different trading horizons.
Dynamic coloring: Red = Overbought, Green = Oversold, Blue = Neutral
Visual aids: Background shading in OB/OS zones + 50 midline.
⚙️ Settings
MA Length – Period for the moving average baseline.
StdDev Length – Standard deviation window. Tip: match the MA length for smoother results.
Overbought Level – Threshold for stretched highs.
Oversold Level – Threshold for stretched lows.
⚡️ Showcase
Overbought/Oversold Zones
Divergences
📒 Usage
The Mean Reversion Oscillator (MRO) is best used as a context tool, not as a standalone buy/sell signal generator. Its primary purpose is to tell you when the price is statistically stretched relative to its average, so you can anticipate a potential return toward the mean.
Add to chart – Paste the script in TradingView and load it in a separate pane.
Set MA Length – Use 20–50 for intraday, 100–200 for swing/position trading.
Match StdDev Length – Keep it close to the MA Length to avoid distortion (e.g., MA 200 → StdDev 200).
Interpret readings:
>70 (Overbought) – Price stretched high, reversion or slowdown likely.
<30 (Oversold) – Price stretched low, bounce potential.
50 (Midline) – Neutral, momentum shift point.
Use with confluence – Strongest signals occur when MRO extremes align with S/R levels, trend filters, or volume cues.
Adjust thresholds – 70/30 is balanced; 80/20 gives fewer but stronger signals, 60/40 gives more but weaker ones.
Stay trend-aware – In strong trends, OB/OS can persist. Always check higher timeframe bias before fading moves.
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Moon Scalper v3 + VSAMoon Scalper v3 is a high-precision scalping indicator optimized for the 15-minute chart. It delivers clean buy/sell signals with TP1 (1:1 risk-reward) exits using layered confirmations:
• **Volatility Bands** — SMA + multiplier detect expansion zones
• **EMA Filter (200)** — ensures trades align with trend
• **RSI Range Filter** — avoids extreme overbought/oversold traps (buy: 52–62, sell: 38–48)
• **Volume Spike Filter** — filters for institutional activity (vol > 1.4×SMA)
• **VSA Confirmation** — requires wide-spread, high-volume bars with reclaim (volume × 1.4, spread × 1.5, reclaim 50%)
**Usage Notes:**
Best used on 15m timeframe for liquid pairs (e.g., BTCUSDT, ETHUSDT). Signals appear as “BUY” / “SELL” labels on chart. Defaults yield high TP1 hit rate; use only during active sessions (e.g., London/NY) for best accuracy.
**Disclaimer:**
This indicator is for educational purposes only. Past performance is not a guarantee of future results. Always backtest before live trading and manage risk responsibly.
