Laguerre Filter [BackQuant]Laguerre Filter
Overview
The Laguerre Filter is a powerful trend-following tool designed to smooth price action while maintaining responsiveness to market changes. It is based on the Laguerre recursive filter, which is a type of signal processing filter that adapts to both the current price dynamics and the underlying trend. The Laguerre Filter can be seen as a method to reduce market noise, enabling traders to more easily identify the strength and direction of trends while minimizing lag.
The Laguerre Filter is well-suited for markets with varying volatility levels, offering a smoother representation of price action without the delay associated with traditional moving averages. By dynamically adjusting to price movements, the Laguerre Filter provides a more adaptive and reliable signal compared to simpler smoothing techniques.
What is the Laguerre Filter?
The Laguerre Filter is derived from the Laguerre polynomial, which is used in signal processing for smooth filtering of data. The Laguerre filter is a recursive filter, meaning that each new value is calculated based on both the current price data and previous values, with a weighting system that allows it to adapt to market conditions. This recursive nature helps reduce the impact of short-term fluctuations, enabling the filter to focus on the underlying trend.
The Laguerre filter uses a feedback mechanism, where the input signal (price data) is smoothed iteratively. This iterative process helps avoid the lag that is typically associated with traditional moving averages while still capturing the overall trend direction.
The filter is designed to have:
Adaptive behavior: It reacts quickly to significant price changes while ignoring minor fluctuations.
Reduced noise: By filtering out random short-term price movements, it provides a clearer view of the underlying trend.
Customizability: Traders can adjust the filter’s sensitivity through user inputs, making it adaptable to different market conditions.
Core Calculation Methodology
The core of the Laguerre Filter lies in its recursive calculation:
Each new value is calculated using the previous value along with the current price input.
The recursive formula is governed by two key parameters: the damping factor (gamma) and the order of the filter (number of Laguerre elements).
The damping factor controls how responsive the filter is to changes in price. A higher gamma value makes the filter smoother but introduces more lag, while a lower gamma value makes it more reactive to price changes but can introduce more noise.
The order defines how many Laguerre elements are used in the calculation. A higher order results in a smoother output but with more delay, while a lower order provides a faster response but less smoothing.
The filter works by weighting previous values with a binomial weighting system, which assigns more weight to recent values and less weight to older values. This creates a dynamic smoothing effect that adapts to price volatility, ensuring that the filter is neither too slow nor too noisy.
Signal Logic and Trend Detection
The Laguerre Filter continuously evaluates the strength and direction of the trend by comparing the current smoothed value to the previous value:
If the current value is greater than the previous value, the trend is considered bullish, and the filter will signal a long condition.
If the current value is less than the previous value, the trend is considered bearish, and the filter will signal a short condition.
The trend detection logic is based on the recursive nature of the filter, which smooths price movements over time. This allows the filter to capture the broader trend while minimizing the influence of short-term price fluctuations.
The trend state is also visually represented by color-coding:
Green color represents an uptrend (bullish condition).
Red color represents a downtrend (bearish condition).
Neutral (white) indicates no clear trend direction.
This color-coding helps traders easily identify the prevailing trend and decide whether to enter or exit trades based on the trend's strength.
Laguerre Filter Behavior and Performance
The performance of the Laguerre Filter can be influenced by several factors:
Gamma (Damping Factor): A higher gamma value results in a smoother filter but increases lag. A lower gamma value allows for a faster response but may introduce more noise, making it more reactive to smaller price changes.
Filter Order: The order determines how many Laguerre elements are used in the filter calculation. A higher order provides more smoothing but increases lag, while a lower order results in a quicker response but less smoothing.
The sweet spot for gamma is typically between 0.7 and 0.85, where the filter offers a good balance between smoothness and responsiveness. The filter order is usually set to 4 for classic Laguerre filtering, but higher orders can be used for more smoothing if needed.
The Laguerre Filter’s performance shines in markets with sustained trends, where the filter can effectively capture and represent the underlying direction without excessive lag. It is particularly useful in volatile markets, as it helps smooth out noise while providing a clear picture of the trend.
Visual Presentation
The Laguerre Filter provides a dynamic, color-coded line that follows the trend direction. This line can be displayed alongside price data to visually highlight the market trend. In addition to the main Laguerre line, several visual enhancements can be applied:
Gradient fill between the price and the Laguerre Filter line, providing a visual cue for bullish or bearish market conditions.
Candle coloring to reflect the current trend, making it easier to spot trend reversals or confirmations directly on the chart.
Background shading to visually highlight areas of strong trend or consolidation.
Edge glow effect that highlights trend boundaries, making it easy to spot key levels of support or resistance.
These visual elements enhance the usability of the Laguerre Filter, allowing traders to quickly assess the market trend and make informed decisions.
Practical Use Cases
1) Trend Following
The Laguerre Filter is ideal for trend-following strategies. By using the filter to identify the prevailing trend, traders can:
Enter long positions when the Laguerre Filter turns bullish (green).
Enter short positions when the Laguerre Filter turns bearish (red).
By aligning trades with the dominant trend, traders can improve their chances of success.
2) Trend Strength Assessment
The Laguerre Filter can also be used to assess the strength of the trend:
A rising Laguerre value indicates a strengthening uptrend.
A falling Laguerre value indicates a strengthening downtrend.
A flattening Laguerre value signals weakening momentum or consolidation.
This information can be used to adjust position sizing or to decide when to enter or exit a trade.
3) Trade Management
The Laguerre Filter can also assist in trade management:
Use the Laguerre line as a trailing stop for long positions in an uptrend.
Scale out of positions as the Laguerre value begins to flatten or reverse.
Use the Laguerre Filter to avoid trades when the market is in consolidation or lacks a clear trend.
Tuning Guidelines
The Laguerre Filter can be adjusted for different market conditions using the following parameters:
Gamma (Damping Factor): Adjust for the desired level of responsiveness versus smoothness. Typical values range from 0.7 to 0.85.
Filter Order: Adjust to control the level of smoothing. The default value of 4 is a good starting point, but higher orders can be used for smoother filters.
Summary
The Laguerre Filter is a versatile and adaptive trend-following indicator that smooths price data and reduces noise, making it easier to identify and follow trends. By using recursive smoothing techniques and adjustable parameters, the Laguerre Filter provides an accurate representation of market conditions with minimal lag. It is especially useful in volatile markets where traditional moving averages may fail to capture the underlying trend. With its color-coded trend detection, gradient fills, and customizable settings, the Laguerre Filter is a powerful tool for traders looking to stay aligned with the prevailing market direction.
Trend
Institutional Volume Trend [Structure Filter]Overview
The Institutional Volume Trend is a hybrid trend-following system designed to solve the single biggest problem in technical analysis: False Breakouts (Fakeouts).
Most trend indicators are purely price-reactive. If price moves up, they signal "Buy"—even if that move is driven by low liquidity and retail FOMO. This often leads to traders getting trapped in "chop" or weak reversals.
This script introduces a Volume-Verification Layer to market structure. It operates on a simple institutional premise: "Price advertises, Volume validates." A break of structure (BOS) is only considered a valid signal if it is backed by significant institutional volume.
Special thanks to the legendary Kıvanç Özbilgiç , whose extensive work on Supertrend and AlphaTrend concepts has paved the way for modern volatility-based trend systems. This script builds upon those foundational principles by adding a volume-weighted regime filter.
How It Works
This indicator combines two distinct engines to filter market noise:
Structure Engine (ATR Volatility):
It uses an ATR-based trailing stop mechanism (inspired by the classic Supertrend logic) to detect the underlying market structure. This creates the "Floor" (Support) and "Ceiling" (Resistance) of the current trend.
Institutional Volume Filter:
It calculates a relative volume average. If a trend change occurs without volume exceeding the average by a user-defined threshold (default 1.2x), the signal is flagged as Weak .
📖 Visual Guide: How to Interpret the Signs
This indicator communicates through Color and Labels . Here is exactly what each sign means:
1. The Ribbon Colors
🟢 Bright Green Ribbon: CONFIRMED BULLISH.
Meaning: The trend is Up AND Volume is supporting the move.
Action: Look for long entries or hold existing long positions.
🔴 Bright Red Ribbon: CONFIRMED BEARISH.
Meaning: The trend is Down AND Selling pressure is high.
Action: Look for short entries or hold existing short positions.
⚪ Gray / Dimmed Ribbon: WEAK / CHOP ZONE.
Meaning: The price has broken structure, BUT there is no volume to back it up. The market is undecided or resting.
Action: CAUTION. Do not open new trades. Wait for the color to turn Bright Green or Red.
2. The Labels
🏷️ "BOS + Vol" (Break of Structure + Volume):
Meaning: A high-probability signal. Price broke the trend line with a burst of volume.
Interpretation: This is your primary entry trigger.
🏷️ "Low Vol" (Small 'x' or Label):
Meaning: Price crossed the line, but volume was weak.
Interpretation: WARNING. This is likely a fakeout or a liquidity grab. Be very careful trusting this move.
3. The Trailing Line
The solid line running along the price is your Dynamic Stop Loss .
Bullish: As long as candles close above or touch (you choose) this line, the uptrend is valid.
Bearish: As long as candles close below or touch (you choose) this line, the downtrend is valid.
How to Use This Indicator
For Trend Following (Swing Trading)
Wait for the Flip: Look for the ribbon to flip from Red to Green (or vice versa).
Check the Validation: Ensure the ribbon is Bright Green/Red and not Gray. A "BOS + Vol" label is your confirmation.
Set the Stop: Use the plotted Trailing Structure Line as your dynamic Stop Loss.
For Scalping (1m - 15m Timeframes)
Filter the Noise: The most powerful feature for scalpers is the Gray Zone . If the market enters a low-volume drift (lunch hour or pre-market), the ribbon turns Gray. Avoid taking new entries during these periods to prevent "death by a thousand cuts."
Settings & Customization
Structure Lookback: Controls the sensitivity of the trend line. Higher numbers = fewer signals, longer trends.
Filter Low Volume (Chop): Toggle this ON to see the Gray zones. Toggle OFF if you want a standard trend view.
Volume Threshold: The multiplier required to validate a move.
1.2 (Default): Balanced.
1.5+ : Strict (Only catches massive breakouts).
1.0 : Loose (More signals, more noise).
Who Should Use This?
Breakout Traders: To distinguish between a true breakout and a "liquidity sweep."
Crypto Traders: To filter out the low-volume weekend chop.
Beginners: To learn the discipline of waiting for volume confirmation before entering a trade.
Open Source & Transparency
This script is open source to foster learning. The core logic utilizes a modified ATR trailing stop calculation combined with a boolean volume filter (volume > sma(volume) * mult). Traders are encouraged to inspect the code to understand exactly how their signals are generated.
⚠️ Disclaimer
Trading involves a high risk of losing money. This tool is designed for educational and analytical purposes only and does not constitute financial advice.
No indicator is 100% accurate. The "Volume Filter" reduces false signals but cannot eliminate them entirely.
Lag Warning: Like all trend-following tools, this indicator is reactive. It will perform best in trending markets and may produce losses in tight, sideways ranges (though the Gray filter helps mitigate this).
Risk Management: Always use a stop loss and proper position sizing. Never trade solely based on the color of a ribbon.
Apex Wallet - MTF Trend Monitor: Unified Indicator DashboardOverview The Apex Wallet MTF Trend Meter is a powerful Multi-Timeframe (MTF) dashboard designed to provide a bird's-eye view of market conditions across several time intervals simultaneously. Instead of switching between charts, this tool presents a clean, real-time table directly on your workspace, allowing you to identify high-probability trade setups through timeframe alignment.
Multi-Layered Analysis The dashboard monitors and categorizes technical data into actionable color-coded cells:
Timeframe Master Trend: Tracks the core market direction using EMA filters (adjustable for Scalping, Day, or Swing trading).
Oscillator Confluence: Instant status of Stochastic (STO), RSI, MACD, and TDI.
Andean Oscillator: Specialized tracking for market states including Bullish, Bearish, Consolidating, or Reversing.
Market Volume Delta: Real-time institutional flow tracking with customizable modes (Buy/Sell, Neutral, or Auto).
Key Features:
Fully Customizable Grid: Toggle individual timeframes (from 1m up to 4h) and specific indicators to match your trading strategy.
Smart Adaptive Presets: One-click selection for Scalping, Day-Trading, or Swing-Trading automatically updates all internal indicator periods for optimized performance.
Trend-Filtered Signals: Momentum indicators are filtered by the master trend EMA to ensure signals are displayed only when aligned with the broader market direction.
Compact UI: Designed for efficiency, the dashboard sits discreetly on your chart while providing maximum data density.
How to Use: Identify "Vertical Confluence" where multiple timeframes align with the same color, indicating a high-conviction trend continuation or breakout.
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes.
Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode:
Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes.
Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100).
Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves.
Key Features:
Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture".
Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average.
Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading.
How to Use:
Select your preferred Trading Mode in the settings.
Enable HTF Background to visualize the dominant trend from a higher timeframe.
Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
Eagle Algo Pro v0.2This script, "Eagle Algo Pro v0.2," combines trend-following and mean-reversion concepts to assist traders in identifying potential trade entries. It is designed to work on various timeframes and integrates three distinct analytical components:
1. Eagle Trend Strategy (Channel Breakout):
This module utilizes a Donchian-style channel (Highest High and Lowest Low over a user-defined period) to detect trend breakouts.
- Logic: A "CALL" signal is generated when the price closes above the upper channel line, indicating bullish momentum. Conversely, a "PUT" signal is generated when the price closes below the lower channel line.
- Utility: Helps traders spot the beginning of new trends or breakouts from consolidation.
2. S/R & Reversal Strategy (Support/Resistance & Pivots):
This component identifies key Support and Resistance zones using Pivot Points derived from historical price action.
- Logic: The script calculates pivot highs and lows to draw dynamic support/resistance boxes. It then looks for price rejections (wicks) near these zones combined with RSI filtering (Overbought/Oversold conditions).
- Utility: Useful for finding reversal points where price is likely to bounce.
3. RiViL Channel (Linear Regression):
A Linear Regression Channel that visually displays the current trend direction and deviation levels.
- Utility: Provides visual context on whether the price is overextended (near the edges of the channel) or moving with the mean trend.
Dashboard Features:
The script includes a performance dashboard that tracks historical signals for both strategies, displaying Total Signals, Wins, Losses, and Win Rate based on the chart history. This allows for quick backtesting and parameter tuning.
Disclaimer:
This tool is for educational purposes and market analysis only. Past performance does not guarantee future results.
Ryan-Trend PulseOverview
Ryan-Trend Pulse is a volatility-adjusted trend-following indicator designed to identify institutional-grade shifts in market momentum. Unlike static moving averages that lag significantly, This indicator utilizes a modified ATR-based trailing logic to create dynamic ranges. This allows the indicator to remain stable during consolidation but react decisively when a genuine trend breakout occurs.
The core philosophy of this tool is to provide traders with clear, visual "Zones of Interest" (Target and Stoploss) that adapt in real-time to current market volatility.
How It Works: The Logic
The indicator is built around a proprietary Adaptive Average function. Here is the technical breakdown:
1. Volatility Anchoring : The script calculates a base ATR (Average True Range) multiplied by a user-defined factor. This creates a "volatility buffer" around the price.
2. Range Displacement : The center line (Trend Average) only moves when the price closes outside of the volatility buffer. This filtering mechanism eliminates market noise and "whipsaws" often found in standard trend-following tools.
3. Dynamic Band Scaling : Once a new range is established, the upper and lower bands are calculated based on 50% of the current volatility. This provides a mathematically consistent frame for potential price action.
Indicator Specifications & Features
- Zero-Lag Range Shifts: The range updates instantly upon a confirmed break, providing the trader with immediate feedback on trend direction.
- Multi-Timeframe Compatible: Users can pull data from higher timeframes (HTF) to filter lower timeframe noise via the built-in Timeframe input.
How to Trade with Ryan-Trend Pulse
The indicator features a Dual-State Dynamic Coloring System:
1. 🔵 The Blue Center channel: This is your Trend Pivot. As long as price remains within the current range, the trend is considered stable.
2. 🟢 Bullish Breakout (Long): When price breaks the upper channel and shifts the range upward:
- The Upper channel turns Green, representing your primary Target Zone.
- The Lower channel turns Red, representing your Logical Stop Loss.
3. 🔴 Bearish Breakout (Short) : When price breaks the lower channel and shifts the range downward:
- The Lower channel turns Green, representing your primary Target Zone.
- The Upper channel turns Red, representing your Logical Stop Loss.
Settings Guidance
- Length (Default 200): Optimized for long-term trend health. Lowering this to 50-100 will make the indicator more aggressive for scalping.
- Factor (Default 5.0): This controls the "tightness" of the range. A higher factor requires a more significant move to trigger a trend change, suitable for volatile assets like Crypto or Indices.
Disclaimer: Past performance does not guarantee future results. This indicator is a tool for technical analysis and should be used in conjunction with a complete trading plan and proper risk management.
MACD Extreme [CoinTadpole]█ MACD Extreme - TradingView Script Description
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MACD Extreme is an advanced MACD-based indicator that detects potential trend reversal points by measuring the divergence gap between MACD line (K) and Signal line (D). Instead of relying on traditional crossover signals, this indicator identifies when the gap expands to extreme levels - a more reliable precursor to actual trend reversals.
█ THE PROBLEM WITH TRADITIONAL MACD
Many traders believe that trend reversals occur the moment:
• MACD line crosses ABOVE Signal line (Golden Cross = Buy)
• MACD line crosses BELOW Signal line (Dead Cross = Sell)
This is a dangerous misconception.
In real trading, crossovers are LAGGING signals. By the time a Golden Cross appears, the upward move has often already happened. Entering at that exact moment frequently results in buying at local tops or selling at local bottoms - leading to significant losses.
As shown above, entering long positions at Golden Cross points often results in immediate drawdowns and extended periods of being underwater.
█ HOW THIS INDICATOR WORKS
This indicator takes a completely different approach. Instead of waiting for crossovers, it monitors the GAP between K line and D line (the histogram).
The core principle:
**Trend reversals tend to occur when the K-D divergence expands significantly beyond normal levels.**
The algorithm measures:
• Current histogram value (K line - D line)
• Historical standard deviation of the histogram over N periods
• Identifies when current divergence exceeds the threshold
When the divergence reaches extreme levels AND shows signs of reversal, the indicator generates a signal - often BEFORE the traditional crossover occurs.
█ THE SIGNALS
🟢 Green Signal (Bullish)
Appears when:
• Histogram is in negative territory (K below D)
• Divergence has reached extreme levels
• Histogram begins turning upward
This signals potential bullish reversal - the selling pressure may be exhausting.
🔴 Red Signal (Bearish)
Appears when:
• Histogram is in positive territory (K above D)
• Divergence has reached extreme levels
• Histogram begins turning downward
This signals potential bearish reversal - the buying pressure may be exhausting.
█ BACKGROUND ZONES
The colored background bars provide additional context:
🟩 Green Background Zone
Indicates oversold divergence territory. When you see green background, the K-D gap has expanded significantly in the bearish direction. This zone often precedes bullish reversals.
🟥 Red Background Zone
Indicates overbought divergence territory. When you see red background, the K-D gap has expanded significantly in the bullish direction. This zone often precedes bearish reversals.
These zones help you visually identify WHEN the market is in extreme conditions - preparing you for potential reversals before they happen.
█ WHY THIS APPROACH IS MORE RELIABLE
Traditional MACD analysis requires you to:
1. Constantly monitor the K and D lines
2. Mentally estimate whether the gap is "large" or "small"
3. Make subjective judgments in real-time
This is practically impossible during live trading.
MACD Extreme solves this by:
• Automatically calculating historical divergence patterns
• Objectively identifying when divergence is truly "extreme"
• Alerting you at precisely the right moments
Just like how UCTRPB Rsi Price Band pre-calculates where RSI oversold/overbought levels will be, this indicator pre-identifies where MACD divergence reaches extreme levels.
█ SETTINGS EXPLAINED
📊 MACD Settings
• Fast EMA (Default: 7): Short-term EMA period
• Slow EMA (Default: 25): Long-term EMA period
• Signal EMA (Default: 9): Signal line smoothing period
🔥 Signal Detection
• Lookback Period (Default: 50): Number of bars to calculate divergence baseline. Higher values = compare against longer-term averages. Recommended: 30-80
• Sensitivity (Default: 2.0): Standard deviation multiplier for signal threshold
- Lower (1.5): More signals, earlier detection, but more false positives
- Default (2.0): Balanced - recommended for most users
- Higher (2.5+): Fewer signals, only extreme cases, fewer false positives
• Use Percentile Detection: Alternative detection method
- OFF (Default): Uses standard deviation-based detection
- ON: Uses percentile-based detection (signals when divergence is in top X%)
• Percentile Threshold (Default: 95%): When percentile detection is enabled, signals trigger when divergence is in the top X% of historical values
█ RECOMMENDED SETTINGS BY STYLE
Conservative Trading:
• Lookback: 50-80
• Sensitivity: 2.0-2.5
• Fewer signals, higher reliability
Aggressive Trading:
• Lookback: 30-50
• Sensitivity: 1.5-2.0
• More signals, requires additional confirmation
█ ALERT SETTINGS
Three alert options are available:
📢 Bullish Reversal
Triggers when green signal appears. Use this if you only trade long positions.
📢 Bearish Reversal
Triggers when red signal appears. Use this if you only trade short positions.
📢 Reversal Signal
Triggers on BOTH green and red signals. Use this if you trade both directions - you only need to set up this one alert to catch all signals.
To set up alerts:
1. Right-click on the indicator
2. Select "Add Alert"
3. Choose your preferred condition
4. Configure notification method (popup, email, webhook, etc.)
█ HOW TO USE THIS INDICATOR
⚠️ IMPORTANT: This is NOT a buy/sell signal generator.
This indicator is a REFERENCE TOOL for identifying potential trend reversal zones using K-D divergence analysis.
For best results, combine with:
• RSI Oversold/Overbought levels (RSI < 30 or RSI > 70)
• Support/Resistance levels
• Volume analysis
• Higher timeframe trend direction
Recommended workflow:
1. Wait for signal to appear
2. Check RSI for confirmation (oversold for bullish, overbought for bearish)
3. Identify nearby support/resistance levels
4. Enter with proper risk management
█ TIMEFRAME RECOMMENDATIONS
• Best: 4H and above
• Good: 1H
• Not recommended: 15m and below
Lower timeframes produce more noise and less reliable signals.
█ IMPORTANT NOTES
• Signals indicate potential reversal zones, not guaranteed reversals
• Always use stop-losses and proper position sizing
• Past performance does not guarantee future results
• This indicator works best in ranging and mean-reverting market conditions
• Trending markets may produce early signals - use trend filters for additional confirmation
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Tags: MACD, divergence, reversal, trend, momentum, oscillator, crossover, signal, alert
Mounir Delta Wave HistogramMounir Delta Wave Histogram is a professional volume-based indicator designed to visualize directional market waves using estimated volume delta.
It accumulates buying and selling pressure across price movements to form clear histogram blocks that represent bullish and bearish waves. Each wave displays:
• Total traded volume
• Volume delta (buyers vs sellers)
• Delta percentage
• Time duration of each wave
This allows traders to quickly identify:
✔ Strong momentum moves
✔ Hidden divergence between price and volume
✔ Trend continuation and exhaustion
✔ Shifts in market pressure
The indicator offers multiple display modes, customizable colors, wave inversion options, and alert conditions for key thresholds and new wave formations.
📊 Compatible with all markets including Futures, Forex, Crypto, Stocks, and Indices — anywhere volume data is available.
Ideal for:
• Order flow analysis
• Momentum trading
• Scalping & swing trading
• Trend confirmation
Supertrend Clean Pro + Discord Alert📈 Supertrend Clean Pro with Discord Alert: Strategy Guide
1. Indicator Overview
The Supertrend Clean Pro with Discord Alert is a trend-following indicator that combines price action and volatility (ATR) to identify market direction.
Green Line : Bullish trend; focus on Long entries.
Red Line : Bearish trend; focus on Short entries.
Start Dots : High-visibility markers that appear exactly when a trend flips.
2. Dashboard Metrics
STATUS : Real-time trend direction.
MARKET : Uses the Volatility Filter. If "FLAT," the ATR is below its moving average, suggesting low-volume consolidation—typically a bad time to enter.
STOP GAP : The distance between current price and the Supertrend line (suggested Risk).
TREND GAIN : Tracks how many pips the current trend has moved since the last flip.
3. Best Execution Strategy
To maximize win rates, follow these rules based on the script logic:
A. The "Flat Line" Rule (Avoid Sideways Markets)
When the Supertrend line becomes flat or horizontal, the market is in a range.
Avoid: Taking new signals when the line has been flat for several candles.
Prefer: Signals where the Supertrend line has a clear **diagonal slope**, indicating strong momentum.
B. The Volatility Filter
The script includes an isVolatile check. Only take signals when the Dashboard shows " ACTIVE 🔥 ". This ensures you aren't entering a trade during a "dead" market where price just "bleeds" through your stop loss without moving.
C. Risk Management
The indicator automatically calculates a 2.0 Risk-Reward Ratio (RRR). Use the Discord alert or the dashboard "Stop Gap" to set your position size.
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⚙️ Optimized ATR Settings (2H Timeframe)
Settings are optimized for the 2-hour chart to balance noise reduction with trend sensitivity.
| Symbol | ATR Period | Multiplier | Notes |
| --- | --- | --- | --- |
| XAUUSD (Gold) | 10 | 3.5 | Wider multiplier to handle gold’s "whipsaws." |
| XAGUSD (Silver) | 12 | 3.0 | Silver requires a slightly longer period for stability. |
| EURUSD | 10 | 2.5 | Lower multiplier for tight-ranging FX pairs. |
| GBPUSD | 10 | 3.0 | Standard setting for the "Cable's" volatility. |
| USDCAD | 14 | 3.0 | Slightly slower period to filter CAD oil-related noise. |
| AUDJPY | 10 | 2.8 | Captures yen-carry trade trends effectively. |
| GBPJPY | 12 | 4.0 | High volatility requires a much wider multiplier. |
| BTCUSD | 10 | 4.0 | Wide multiplier to avoid being stopped out by BTC spikes. |
Disclaimer: Trading foreign exchange is highly speculative and carries a substantial risk of loss. Past performance does not guarantee or predict future results. The publisher, and any associated software, automated trading systems ("bots"), or indicators, are not responsible for any financial losses or damages resulting from their use. You alone assume all risk.
RW1 Wicket 1.03 (Customer Pro)RW1 Wicket — Z3 Zone + Breakout (Backtest & CRV Compare)
Description:
RW1 Wicket automatically highlights Z3 Fibonacci zones based on an internal swing structure (P2/P3) and displays RW1 long setups with a SET trigger and breakout entry. It also includes a compact stats box to evaluate performance and compare multiple fixed R:R targets (CRV 1.5 / 2.0 / 3.0), optionally separated into Confirmed and Early results.
Features:
Z3 Fibonacci zone box (with optional ZigZag / P2-P3 labels)
SET marker when price triggers inside the zone
RW1 breakout entry above the zone top
Optional Early/Risk entry mode (if enabled)
On-chart stats box: trades, W/L, win rate, and CRV comparison (best CRV by EV)
Disclaimer:
This script is for analysis and educational purposes only and is not financial advice. Backtest results are not a guarantee of future performance. Internal swing parameters are intentionally not exposed as tuning inputs.
Legacy Algo | Lyro RS
Overview
Legacy Algo is a hybrid momentum-reversal trading tool developed to identify actionable market movements in lower timeframes. Designed with a comprehensive suite of tools, it aims to assist traders in managing entries, exits, and trade progression through calculated visual cues. The indicator is intended to be used on intraday charts, providing dynamic support for both discretionary and system-based strategies.
Introduction
This script introduces a structured approach to analyzing short-term market dynamics. Rather than relying on a single method of signal generation, it incorporates multiple confirmations, risk management tools, and trend filters to offer a balanced view of potential trade opportunities. While the underlying algorithm remains private, its design reflects a meticulous focus on signal quality, adaptability, and visual clarity across a range of assets.
Purpose
The purpose of this indicator is to support traders in identifying reversal points and managing trade risk in volatile environments. It is particularly suited for use on lower timeframes, such as 1-minute to 15-minute charts, 1h, 2h, it works on any chart really. It combines confirmation-based setups with built-in risk management structures to assist with decision-making, both before and after trade initiation. While primarily reversal-oriented, the tool also integrates trend-following elements to capture extended moves when they emerge from a shift in momentum.
Originality and Uniqueness
What distinguishes this tool from other indicators is its attention to nuance and adaptability. Instead of providing generic buy/sell labels, Legacy Algo focuses on contextual awareness—adjusting its behavior based on market volatility, momentum strength, and other environmental factors. Its integrated multi-layer confirmation system, adjustable visual themes, and flexible trade management features make it a versatile companion for short-term traders. The script is built with proprietary logic that includes layered thresholds and adaptive smoothing, giving it a character that is not replicated by standard open-source tools.
Inputs
Every input in the script has been tailored to allow the user to control specific aspects of the algorithm:
Sensitivity: This slider modifies how quickly the system responds to changing market conditions. Lower values increase signal frequency by making the system more reactive. Higher values reduce reactivity, favoring more stable trends.
Stop Loss Multiplier: Sets the distance of the stop loss from the entry point based on market volatility. Adjusting this changes the risk tolerance per trade.
Enable Entry Filter: Filters out low-quality signals based on internal evaluation criteria. When disabled, all signals are displayed; when enabled, only those meeting stricter criteria will appear.
Take Profit Levels: Enables or disables the plotting of dynamic take profit and stop loss levels on the chart, helping visualize trade objectives.
Level Decimals: Controls the rounding of entry, stop loss, and profit levels to match the price precision of the asset being analyzed.
Take Profit Signals: Activates additional TP alerts based on advanced signal behavior. These appear as visual labels when certain criteria are met post-entry.
Confirmation Signals: Displays optional trend confirmation markers to support directional bias using an additional layer of validation.
Extreme Bands: Adds visual volatility envelopes to the chart, helping identify overbought or oversold conditions with intuitive banded zones.
Smart Moving Average: Plots a trend-sensitive moving average to serve as dynamic support or resistance, adapting its color based on prevailing bias.
Trailing Stop Loss: When enabled, displays an adaptive trailing stop designed to lock in gains as the trade progresses.
Smart Trail: Shows a custom range-based trailing line that changes color based on market direction and supports trend-following exits.
Show Reversal Signals: Enables or disables reversal-based entries that appear based on predefined thresholds.
Color Palette: Offers a selection of preset visual themes such as Crimson, Mystic, or Diamond. These palettes change the indicator’s appearance to suit user preference.
Use Custom Colors: Overrides default themes with custom colors set by the user for bullish and bearish conditions.
Bullish / Bearish Colors: Allows manual color selection for bullish and bearish visuals when the custom palette option is enabled.
Dashboard Settings: Inputs that control whether the stats table is displayed, along with its size and position on the chart.
Features
The indicator is equipped with multiple modular features, each designed to enhance specific aspects of trading execution and monitoring:
Trade Entries: Visual labels are placed on the chart to indicate potential long or short entries. These are calculated using internal filters and are only shown when certain quality thresholds are met.
Signal Filtering: Optional filters analyze factors such as trend strength, momentum, volatility, and multi-timeframe alignment. This ensures that only high-quality signals are displayed when enabled.
Take Profit and Stop Loss Labels: When enabled, dynamic levels are plotted on the chart, indicating up to three take profit levels and one stop loss, calculated using volatility-adjusted distances.
Smart Trail: A line that tracks price and adjusts in real time to reflect prevailing trend direction. It also serves as a trailing exit method when price reverses through it.
Smart Moving Average: An adaptive average that blends multiple smoothing techniques to reflect trend with reduced lag. Its color shifts to reflect bullish or bearish bias.
Trailing Stop: A volatility-based stop that moves with price once a trade is active. It trails the trend and adjusts dynamically based on user-defined risk tolerance.
Reversal Signals: Optional labels that highlight potential short-term exhaustion points based on proprietary internal behavior. These may assist with counter-trend scalps or early entries.
Multi-Timeframe Dashboard: A fully customizable stats table that provides real-time summaries of the current trend, volume conditions, volatility, trading session, and signals across multiple timeframes from 1-minute to daily.
Session Detection: Identifies and labels the currently active global trading session (e.g., London, New York) based on the chart’s time.
Volume and Volatility Metrics: Calculates whether volume is high or low relative to recent activity and estimates the strength of volatility via percentage-based metrics.
Alert System: Includes alert conditions for all major events such as new signals, stop loss hits, take profit hits, reversals, extreme conditions, and confirmations.
Custom Candles: The indicator optionally overrides standard chart candles with color-coded versions that reflect the internal trend bias.
Visual Themes: Several built-in color themes can be selected to customize the aesthetic of the tool, with additional control for traders who prefer to set their own color scheme.
Conclusion
Legacy Algo is built for short-term traders seeking a reliable and structured method for detecting reversals and managing trades in volatile conditions. With a focus on clarity, risk awareness, and multi-layered signal validation, it serves as a complete trade planning and monitoring toolkit. Its proprietary design adapts to changing environments while remaining easy to use through intuitive visuals and organized inputs.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Impulse Trend Levels [BOSWaves]Impulse Trend Levels - Momentum-Adaptive Trend Detection with Impulse-Driven Confidence Bands
Overview
Impulse Trend Levels is a momentum-aware trend identification system that tracks directional price movement through adaptive confidence bands, where band width dynamically adjusts based on impulse strength and freshness to reflect real-time conviction in the current trend direction.
Instead of relying on fixed moving average crossovers or static band multipliers, trend state, band positioning, and zone thickness are determined through impulse detection patterns, exponential decay modeling, and volatility-normalized momentum measurement.
This creates dynamic trend boundaries that reflect actual momentum intensity rather than arbitrary technical levels - contracting during fresh impulse conditions when trend conviction is high, expanding during impulse decay periods when directional confidence weakens, and incorporating momentum freshness calculations to reveal whether trends are accelerating or deteriorating.
Price is therefore evaluated relative to bands that adapt to momentum state rather than conventional static thresholds.
Conceptual Framework
Impulse Trend Levels is founded on the principle that meaningful trend signals emerge when price momentum intensity reaches significant thresholds relative to recent volatility rather than when price simply crosses moving averages.
Traditional trend-following methods identify directional changes through price-indicator crossovers, which often ignore the underlying momentum dynamics and conviction levels that sustain those moves. This framework replaces static-threshold logic with impulse-driven band construction informed by actual momentum strength and decay characteristics.
Three core principles guide the design:
Trend direction should be determined by volatility-normalized momentum breaches, not simple price crossovers alone.
Band width must adapt to impulse freshness, reflecting real-time confidence in the current trend.
Momentum decay modeling reveals whether trends are maintaining strength or losing conviction.
This shifts trend analysis from static indicator levels into adaptive, momentum-anchored confidence boundaries.
Theoretical Foundation
The indicator combines exponential moving average smoothing, mean absolute deviation measurement, impulse detection methodology, and exponential decay tracking.
An EMA-based trend baseline provides directional reference, while Mean Absolute Deviation (MAD) offers volatility-normalized scaling for momentum measurement. Impulse detection identifies significant price movements relative to recent volatility, triggering fresh momentum readings that decay exponentially over time. Band multipliers interpolate between tight and wide settings based on calculated impulse freshness.
Four internal systems operate in tandem:
Trend Baseline Engine : Computes EMA-smoothed price levels for directional reference and band anchoring.
Volatility Measurement System : Calculates MAD to provide adaptive scaling that normalizes momentum across varying market conditions.
Impulse Detection Logic : Identifies volatility-normalized price movements exceeding threshold levels, capturing momentum intensity and direction.
Decay-Based Confidence Modeling : Applies exponential decay to impulse readings, converting raw momentum into time-weighted freshness metrics that drive band adaptation.
This design allows trend confidence to reflect actual momentum behavior rather than reacting mechanically to price formations.
How It Works
Impulse Trend Levels evaluates price through a sequence of momentum-aware processes:
Baseline Calculation : EMA smoothing of open and close creates a directional trend reference that filters short-term noise.
Volatility Normalization : MAD calculation over a specified lookback provides dynamic scaling for momentum measurement.
Raw Impulse Detection : Price change over impulse lookback divided by MAD creates volatility-normalized momentum readings.
Threshold-Based Activation : When normalized momentum exceeds threshold (1.0), impulse registers with absolute magnitude and directional sign.
Exponential Decay Application : Between impulse events, stored impulse value decays exponentially via configurable decay rate.
Freshness Conversion : Decaying impulse transforms into freshness metric (0-100%) representing current momentum conviction.
Adaptive Band Construction : Band multiplier interpolates between minimum (fresh) and maximum (stale) settings based on freshness, then scales MAD to determine band width.
Trend State Logic : Price crossing above upper band triggers bullish state; crossing below lower band triggers bearish state; state persists until opposite breach.
Signal Generation : Trend state switches from bearish to bullish produce buy signals; bullish to bearish switches produce sell signals.
Retest Identification : Price touching inner band edge after signal buffer period marks retests, with cooldown periods preventing excessive plotting.
Together, these elements form a continuously updating trend framework anchored in momentum reality.
Interpretation
Impulse Trend Levels should be interpreted as momentum-anchored trend confidence boundaries:
Bullish Trend State (Cyan) : Established when price closes above adaptive upper band, indicating upward momentum breach with associated confidence level.
Bearish Trend State (Magenta) : Established when price closes below adaptive lower band, signaling downward momentum breach with directional conviction.
Trend Cloud : Visual gradient zone displays between outer and inner band edges, with opacity reflecting current trend state and confidence.
Band Width Dynamics : Tighter bands indicate fresh impulse (high confidence), wider bands indicate impulse decay (reduced confidence).
▲ Buy Signals : Green upward triangles mark bullish trend state initiations at crossovers above upper band.
▼ Sell Signals : Red downward triangles mark bearish trend state initiations at crossovers below lower band.
✦ Retest Markers : Small diamonds identify price retouching inner band edge after sufficient buffer period from initial signal.
Retest Extension Lines : Horizontal projections from retest points extend forward, marking potential support/resistance levels.
Colored Candles : Optional bar coloring reflects current trend state for immediate visual reference. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly.
Impulse freshness, band width dynamics, and momentum normalization outweigh isolated price movements.
Signal Logic & Visual Cues
Impulse Trend Levels presents two primary interaction signals:
Buy Signal (▲) : Green label appears when trend state switches from bearish to bullish via upper band crossover, suggesting momentum shift to upside.
Sell Signal (▼) : Red label displays when trend state switches from bullish to bearish via lower band crossunder, indicating momentum shift to downside.
Retest detection provides secondary confirmation when price revisits inner band boundaries after signal buffer cooldown expires.
Alert generation covers trend state switches (long/short), retest occurrences, and impulse freshness decay below 50% threshold for systematic monitoring.
Strategy Integration
Impulse Trend Levels fits within momentum-informed and adaptive trend-following approaches:
Momentum-Confirmed Entries : Use band crossovers as high-probability trend initiation points where volatility-normalized momentum exceeded threshold.
Freshness-Based Position Sizing : Scale exposure based on impulse freshness - larger positions during fresh impulse periods, reduced sizing as impulse decays.
Band-Width Risk Management : Expect wider price ranges when bands expand during decay, tighter ranges when bands contract during fresh impulse.
Retest-Based Re-entry : Use inner band retests as lower-risk entry opportunities within established trends after initial signal cooldown.
Cloud-Aligned Directional Bias : Favor trades aligning with current trend state rather than counter-trend positions.
Multi-Timeframe Momentum Confirmation : Apply higher-timeframe impulse trend state to filter lower-timeframe entry precision.
Technical Implementation Details
Core Engine : EMA-based baseline with MAD volatility measurement
Impulse Model : Volatility-normalized momentum detection with directional sign capture
Decay System : Exponential decay application (0.8-0.99 range) with freshness conversion
Band Construction : Linear interpolation between min/max multipliers scaled by MAD
Visualization : Gradient-filled cloud zones with bar coloring and signal labels
Signal Logic : State-switch detection with retest buffer and cooldown mechanisms
Performance Profile : Optimized for real-time execution across all timeframes
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-trend detection for scalping with responsive impulse settings
15 - 60 min : Intraday momentum tracking with balanced decay characteristics
4H - Daily : Swing-level trend identification with sustained impulse persistence
Suggested Baseline Configuration:
Trend Length : 19
Impulse Lookback : 5
Decay Rate : 0.99
MAD Length : 20
Band Min (Fresh) : 1.5
Band Max (Stale) : 1.9
Signal Buffer Period : 10
Show Trend Cloud : Enabled
Color Bars : Enabled (requires disabling original chart candles in chart settings)
Show Buy/Sell Signals : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Excessive signal noise : Increase Trend Length to demand smoother baseline crossovers or increase Impulse Lookback for less reactive momentum detection.
Missed momentum shifts : Decrease Impulse Lookback to capture shorter-term momentum changes or reduce Decay Rate to allow faster impulse fade.
Bands too tight/wide : Adjust Band Min and Band Max multipliers to modify confidence zone thickness across freshness spectrum.
Impulse decays too quickly : Increase Decay Rate toward 0.99 to sustain impulse readings longer between fresh events.
Impulse decays too slowly : Decrease Decay Rate toward 0.8 for faster momentum fade and more frequent band expansion.
Unstable volatility scaling : Increase MAD Length to smooth volatility measurement and reduce sensitivity to short-term spikes.
Too many retest markers : Increase retest cooldown period (55 bars hardcoded) or increase Signal Buffer Period to space out signals.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with clear momentum phases and directional persistence
Instruments with consistent volatility characteristics where MAD scaling normalizes effectively
Momentum continuation strategies entering on fresh impulse signals
Trend-following approaches benefiting from adaptive confidence measurement
Reduced Effectiveness:
Choppy, range-bound markets with frequent whipsaw crossovers
Extremely low volatility environments where impulse threshold becomes difficult to breach
News-driven or gapped markets with discontinuous momentum patterns
Mean-reversion dominant conditions where momentum breaches quickly reverse
Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or traditional trend indicators
Freshness Respect : Trust signals occurring during high impulse freshness periods with contracted bands
Decay Awareness : Reduce position sizing or tighten stops as impulse decays and bands widen
Retest Utilization : Treat inner band retests as continuation confirmation rather than reversal signals
State Discipline : Maintain directional bias aligned with current trend state until opposite band breach occurs
Disclaimer
Impulse Trend Levels is a professional-grade momentum and trend analysis tool. It uses volatility-normalized impulse detection with exponential decay modeling but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Crypto Engine ProCrypto Engine Pro is a proprietary trend-structure and price-behavior indicator designed specifically for BTC and ETH markets.
It combines Price structure, dynamic trend midlines, and adaptive trend lines to help traders visually identify trend direction, momentum shifts, and structure breaks with clarity.
🔹 Key Features
📈 Dynamic Trend Detection
Identifies bullish and bearish phases using price structure and internal equilibrium levels.
📐 Trend Midline (Running)
Continuously updates based on the active trend, helping visualize balance and continuation zones.
🔺 Multi-Trend Line System
Primary structure line from previous trend extreme
Designed to reflect real market structure, not lagging signals
🎨 Trend-Based Visuals
Background color reflects active trend
Bar color changes on structure breaks relative to the main trend line
🔔 Trend Flip Alerts
Alerts on bullish and bearish structure flips
Helps traders stay aligned with dominant momentum
⚠️ Important Note
Crypto Engine Pro currently works only on BTC and ETH charts.
If applied to any other symbol, the indicator will display a restriction message and disable visuals.
🧠 Who Is This For?
Crypto traders focusing on BTC & ETH
Traders who prefer structure-based trend analysis
Those looking for visual clarity over cluttered indicators
📌 Usage Disclaimer
This indicator is a visual decision-support tool and should not be used as a standalone trading system.
Always combine with proper risk management and higher-timeframe context.
Version: Crypto Engine Pro
Range Finder Speed CodingThis indicator is based on a Range Filter concept and helps traders identify market direction and strength.
It provides clear information about candle structure, including candle count and range behavior, which helps in understanding price movement more accurately.
The indicator is useful for spotting trend continuation and potential entry zones in ranging and trending markets.
Best suited for intraday and swing trading.
Works well on Forex, Crypto, and Stock markets.
Disclaimer:
This indicator is for educational purposes only. Trading involves risk. Please use proper risk management.
MA12 x MA80 Bands Signals - JAMMALMA12 × MA80 Bands Signal – Trend Assistant | Jammal
This script provides a clean and simple entry-timing assistant based on the interaction between MA12 and dynamic bands around MA80.
It helps visualize potential trend-based entry points with clear and non-intrusive signals.
The MA80 bands are fully adjustable, allowing you to customize the sensitivity based on the market and timeframe.
Features:
Trend-based entry assistance
MA12 cross with MA80 dynamic bands
Adjustable MA80 bands (user-controlled offset)
Clear triangles, labels, and short horizontal levels
Works on all markets and all timeframes
Helps visualize trend interaction and entry timing
Designed for traders who want a simple, clean, and supportive trading tool.
Supporting tool only – not a complete trading system.
Enjoy and happy trading!
Jammal
My Candle (HTF Overlay)
This indicator overlays Higher Timeframe (HTF) candles, such as Daily or Weekly, onto your current chart background. It allows you to grasp the larger trend while trading on lower timeframes.
- Accurate Historical Data: By utilizing "lookahead", this script ensures that the High and Low of the HTF candles align perfectly with the price action on historical charts.
- Gap Filling: Includes an option to fill data gaps for a smoother visual experience.
- Customization: You can easily change the timeframe and adjust the transparency of colors to suit your chart theme.
1. Add to the chart.
2. Open settings to select your target timeframe (e.g., "1 Day" or "1 Week").
3. Adjust the "Gap" and "Transparency" settings as needed.
VPG Multi TF Framework Analysis📊 VPG – Multi TF Framework Analysis
VPG – Multi TF Framework Analysis is a multi-timeframe market status dashboard designed to help traders quickly understand price direction, swing conditions, and candle timing across several timeframes in one compact table.
This indicator works on any symbol and is especially useful for scalpers, day traders, and swing traders who need a fast overview of market structure.
🚀 Key Features
🔹 Multi-Timeframe Price Status (1m, 5m, 15m, 30m, 1H, 4H, D, W)
Each timeframe is classified in real-time as:
RALLY → current price above previous candle close
BASE → current price equal to previous close (with tolerance option)
DROP → current price below previous candle close
Color-coded for quick visual recognition.
🔹 Swing Detection (Peak / Valley / Up / Down)
A dedicated Swing row shows market structure per timeframe using:
PEAK → local high (based on last 2 closed candles + current price)
VALLEY → local low
UP → trending upward when no swing detected
DOWN → trending downward when no swing detected
This avoids empty “-” states and always provides meaningful structure information.
Swing row can be turned ON/OFF from settings.
🔹 Previous Close Row (Optional)
Displays the previous candle close price for each timeframe.
Can be enabled or disabled from settings.
🔹 Countdown Timer to Candle Close
Shows remaining time until each timeframe candle closes:
Normal color when time is sufficient
Orange background when ≤ 10 minutes remaining
Red background when ≤ 5 minutes remaining
Helps traders prepare for candle close decisions.
Timer row can be enabled or disabled from settings.
🔹 Trend Strength Badge
A floating badge summarizes overall trend strength based on multi-timeframe alignment:
WEAK / MODERATE / STRONG / VERY STRONG
RALLY or DROP
MIXED state when conditions are unclear
Includes optional blinking bullet for non-mixed trends.
Position of the badge can be configured (top/center/bottom & left/center/right).
🔹 Alert System
Two types of alerts:
Structure alerts
Trigger when a timeframe changes into RALLY or DROP (or any state change)
Timer alerts
Trigger when remaining time drops below a chosen minute threshold
Includes a Test Alert button to verify alert functionality.
🔹 Full UI Customization
Table position: top / center / bottom & left / center / right
Font size: tiny / small / normal / large
Background opacity (0–100)
Toggle rows individually (PrevClose, Swing, Timer)
Trend badge position & blink speed
🎯 Who This Indicator Is For
Scalpers monitoring lower timeframes (1m–15m)
Day traders aligning 15m–4H structure
Swing traders watching Daily & Weekly bias
Anyone who wants a clean multi-TF dashboard without cluttering the chart
⚠ Notes
Works on any market (Forex, Gold, Crypto, Indices, Stocks).
Daily timer uses New York close (17:00 NY time).
Uses request.security() for accurate multi-timeframe data.
📌 Summary
This dashboard combines:
✅ Price direction
✅ Market structure (swing)
✅ Time-to-close
✅ Trend strength
✅ Alerts
✅ Full visual customization
into one lightweight and practical trading tool.
Meer SMC Pro [Smart Structure, Probability Zones & Mitigation]Meer SMC Pro is an all-in-one institutional trading suite designed to filter out noise and visualize high-probability Smart Money Concepts (SMC) setups. Unlike standard indicators that clutter the chart with infinite lines, this script uses a Predictive Scoring Engine to rate zones, validate market structure, and automatically identify "King of the Hill" volume levels.
It is specifically optimized for Gold (XAUUSD) and volatile pairs but works on all assets.
🛠️ Key Features & Logic Breakdown
1. 💎 Smart Zone Consolidation (Predictive "Jackpot" Logic)
Instead of showing individual, weak Order Blocks, the script uses an algorithm to merge overlapping zones within a specific ATR range. It then scores these zones based on Confluence:
⚖️ Normal: A standard valid Order Block.
🔥 STRONG: Valid Zone + High Volume (1.5x Average).
💎 JACKPOT: The highest probability zone. It combines High Volume + FVG + Structural Liquidity Sweep.
Logic: Helps traders identify which level to place a limit order on versus which level to wait for confirmation.
2. 📉 Advanced Market Structure (Real vs. Fake BOS)
The script maps ZigZag Highs/Lows (HH, HL, LH, LL) and identifies Break of Structure (BOS) with a built-in Validity Filter:
✅ Real BOS (Dashed Line): Validated by Displacement (Body close), Momentum, and Volume.
⚠️ Fake BOS (Dotted Line): Weak breaks that lack volume or displacement, often signaling a trap.
Visuals: Labels are placed centrally on the structure lines for clarity.
3. 🛡️ Mitigation & Breaker Blocks (Auto 50% EQ)
When an Order Block fails (gets violated), it flips its role:
Breaker Block: Formed when price sweeps liquidity before breaking the zone.
Mitigation Block: Formed on a failure swing (no sweep) before breaking.
✨ Auto-Equilibrium: The script automatically draws a White Dotted Line at the 50% Center of these blocks.
Logic: Institutions often mitigate their positions exactly at the 50% equilibrium of a failed block.
4. ⚡ Extreme Order Block ("King of the Hill")
To avoid analysis paralysis, this feature tracks only the Single Highest Volume Candle in the current trend leg.
Logic: It constantly compares volume. If a new candle beats the previous record, the "Extreme OB" box updates. This highlights the area of maximum institutional interest.
5. 🧹 Touch & Go System (Chart Cleanup)
Keeps the chart professional and clean.
Logic: Zones and lines do not extend infinitely. They extend for a fixed number of bars (e.g., 40). If price touches/mitigates a zone, or if the zone becomes invalid, the script automatically deletes the box and lines to prevent clutter.
6. 🎯 Liquidity Targets
BSL (Buy-Side Liquidity): Unmitigated Swing Highs.
SSL (Sell-Side Liquidity): Unmitigated Swing Lows.
These act as magnets for price before a reversal.
⚙️ How to Trade with Meer SMC Pro
Trend Identification: Follow the HH/HL (Bullish) or LH/LL (Bearish) labels. Wait for a Real BOS (Dashed Line) to confirm direction.
Entry Strategy:
Aggressive: Place limit orders at 💎 JACKPOT zones.
Conservative: Wait for price to tap a ⚖️ Normal zone and print a lower timeframe Choch.
Recovery: If a zone fails, look for a retest of the Mitigation Block's 50% Dotted Line.
Stop Loss: Place SL below the "Extreme OB" or the consolidated zone low.
🔧 Settings Guide
Smart Zone Consolidation: Keep ON for cleaner charts.
ATR Multiplier:
Use 0.5 for Volatile assets (Gold, Crypto, Indices).
Use 1.0 for Stable Forex pairs (EURUSD).
Structure Lookback: Default is 10. Increase to 20 for higher timeframe Swing Trading.
Disclaimer: This tool is for educational analysis of market structure. Past performance does not guarantee future results. Always manage your risk.
Positional Chakra Strategy by PoojaPositional Chakra Strategy by Pooja
Positional Chakra Strategy by Pooja is a rule-based positional trading strategy designed specifically for continuous markets that operate 24 hours, such as Crypto, Forex, and other global instruments.
The strategy focuses on trend alignment, structure validation, and risk-managed positional holding, rather than short-term intraday fluctuations.
This script is intended strictly as a technical analysis and decision-support tool, not as financial or investment advice.
🎯 Purpose of the Strategy
The primary objective of this strategy is to:
Identify sustained trend-based positional opportunities
Reduce overtrading in 24×7 markets
Filter noise and low-quality signals common in continuous sessions
Provide structured entry, stop-loss, and exit logic
Support disciplined positional trading instead of emotional decision-making
⚙️ Core Features Explained
1️⃣ In-built Multiple Strategy Entry Signals
The strategy combines multiple independent entry logics, allowing traders to see signals only when conditions align.
These include combinations of:
EMA, VWAP, Supertrend, RSI, Structure (BOS / CHoCH), etc
It combines oscillators, non-oscillators, and SMC concepts to create a more structured and logical trading framework.
Each signal is clearly labeled on the chart for better visual understanding.
2️⃣ Swing-Based Stop Loss Logic
Stop loss is automatically calculated using recent swing high / swing low
This helps align risk levels with market structure instead of fixed values
Avoids unrealistic or random stop placements
You can Modify your Swing High/Low pivots according your Choice
3️⃣ Risk-Reward Based Target Projection
Targets are calculated using a user-defined Risk : Reward ratio
Ensures every trade follows a pre-defined risk framework
Encourages disciplined trading instead of emotional exits
4️⃣ Clear SL Hit & Target Hit Indications
When Stop Loss or Target is reached, the strategy plots clear visual labels
This improves post-trade review and historical analysis
Helps users understand how and why a trade ended
5️⃣ Trend Change Exit (Dynamic Stop Management)
If the market structure reverses, the strategy can exit trades early
This acts as a dynamic trailing stop mechanism
Helps protect profits or limit losses during sudden reversals
6️⃣ Trend Reverse Entry (Optional Flip Logic)
On confirmed trend reversal, the strategy can optionally flip direction
Entry happens only after proper confirmation
Designed for experienced intraday traders who understand reversals
7️⃣ Dynamic Stop Loss Trailing Through Trend Reversal
This strategy includes a dynamic stop-loss trailing mechanism based on trend reversal detection rather than fixed price movement.
When the trade is active, the system continuously monitors trend direction and structure
If a confirmed trend reversal is detected against the open position, the strategy exits the trade automatically
This exit acts as a dynamic trailing stop, adapting to changing market conditions instead of relying on static stop-loss levels
8️⃣ Optional BOS & CHoCH Structure Plotting
Break of Structure (BOS) and Change of Character (CHoCH) can be enabled
Helps traders visually track market structure shifts
Completely optional to keep charts clean if not required
9️⃣ In-Build Indicator Framework
The strategy internally uses:
EMA
VWAP
Supertrend
RSI
SMC (Smart Money Concept)
No external indicators are required, keeping the system self-contained and lightweight.
🔟 Fake Breakout Protection Filters
To reduce low-quality signals, the strategy includes:
RSI strength filter
ADX volatility confirmation
RSI-MA distance & slope filter
These filters help avoid entries during weak or choppy market conditions.
Why This Strategy Is Unique
Built on market structure and trend logic, not single indicators
Uses multiple confirmation layers to reduce low-quality signals
Includes dynamic risk management instead of fixed exits
Provides clear visual clarity for entry, stop-loss, and target
Adapts to changing market conditions during intraday trading
Focuses on discipline and process, not prediction or guarantees
This is not just a combination of indicators; it integrates five distinct strategy logics designed to reduce psychological decision-making while maintaining structured risk management.
🔔 Alert & Webhook Ready
The strategy supports TradingView alerts
Alerts are designed for signal notification only
Webhook compatible for users who integrate alerts with external tools
📢 Optional Telegram alerts can be used for personal signal notifications. This feature is informational and does not imply trade execution or profit guarantees.
👤 Suitable For
This strategy is suitable for:
Positional traders
Crypto and Forex traders
Traders dealing with 24×7 markets
Traders who prefer rule-based systems
Users who want to avoid constant screen monitoring
It is not intended for scalping or high-frequency intraday trading.
It is not recommended for users expecting guaranteed results or fully automated decision-making.
Why Invite-Only
Controlled access to ensure responsible use
Helps maintain consistency as the system evolves
Prevents misuse or misinterpretation of strategy logic
Allows better management of updates and changes
Keeps the tool aligned with its analytical purpose
⚠️ Disclaimer (Important)
This script is for educational and analytical purposes only
It does not provide financial, investment, or trading advice
Past performance does not guarantee future results
Trading involves risk, and users are responsible for their own decisions
[SUMIT] Trade line strategy 05:00pm to 11:00pmSUMIT INGOLE
This indicator is created by Sumit Ingole, a trader from Maharashtra, India, based on real-time market experience.
It helps identify market direction and clean entry zones with a simple structure.
Best used with proper risk management.
Mean Deviation Loop | Lyro RSThe MAD Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with robust statistical dispersion measures. This indicator employs a multi-model approach, integrating Bollinger-style MAD bands, for-loop momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions.
Indicator Modes
Bollinger-Style MAD Bands
This mode calculates dynamic volatility bands around price using Mean Absolute Deviation (MAD) instead of standard deviation or RMSE. MAD offers a smoother and more outlier-resistant measure of price dispersion.
Upper Band = Dynamic Moving Average + (MAD × Multiplier)
Lower Band = Dynamic Moving Average − (MAD × Multiplier)
These bands expand and contract with market volatility, helping to identify potential breakout and breakdown zones with reduced sensitivity to extreme price spikes.
For-Loop Momentum Scoring
Momentum is evaluated by analyzing recent price behavior through a loop-based comparison system applied to a MAD-weighted price series.
A rising momentum score indicates strengthening bullish pressure
A declining momentum score signals increasing bearish dominance
This method emphasizes directional consistency rather than short-term noise.
Hybrid Combined Signal
This mode combines the outputs of the MAD Bands and For-Loop Momentum Scoring into a unified directional signal.
+1 indicates bullish conditions (green)
−1 indicates bearish conditions (red)
An average of these scores is calculated to generate a combined signal, providing a clearer and more reliable indication of overall market trend.
Practical Application
Signal Interpretation
A buy signal is generated when both the MAD Bands and For-Loop Momentum align bullishly.
A sell signal is generated when both components align bearishly.
Trend Confirmation
The Hybrid Combined Signal serves as a confirmation layer, helping traders validate trend direction and reduce the likelihood of false signals during choppy or low-volatility conditions.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
AI-Enhanced MSS HunterAI-Enhanced MSS Hunter
This indicator is a hybrid trading system that merges Mechanical Price Action (ICT Concepts) with Statistical Machine Learning (K-Nearest Neighbors). It is designed to assist traders in identifying high-probability reversals after liquidity sweeps, as well as trend-continuation entries during specific "Kill Zone" sessions.
How It Works
The script operates on a strict 3-step validation process to filter out false signals during choppy market conditions.
1. Liquidity Sweep (The Trigger) The system automatically plots the Previous Day High (PDH) and Previous Day Low (PDL).
The logic begins only when price "sweeps" (breaks) one of these key levels.
State Persistence: Once a level is swept, the system remembers this event for the remainder of the session (or until a signal fires), waiting for the market to reverse.
2. Market Structure Shift (The Setup) After a sweep, the indicator hunts for a Market Structure Shift (MSS).
It tracks dynamic Swing Highs and Swing Lows.
A signal is prepared only if price breaks a recent structural swing point in the opposite direction of the sweep (e.g., Sweep PDL -> Break Swing High).
3. AI / Machine Learning Filter (The Confirmation) To reduce false positives, the signal must be confirmed by a K-Nearest Neighbors (KNN) algorithm.
The Logic: The script analyzes the current values of RSI (14), CCI (14), and ROC (10).
The Comparison: It looks back at the last ~1,000 bars of history to find similar market conditions (neighbors).
The Prediction: If the majority of those historical "neighbors" resulted in a favorable move, the AI confirms the trade. If historical data suggests chop or reversal, the signal is blocked.
Key Features
🎯 Primary Reversal Signals (Circles)
Green Circle: Price swept PDL + Bullish MSS + AI Confirmation.
Red Circle: Price swept PDH + Bearish MSS + AI Confirmation.
♻️ Golden Zone Re-Entries (Triangles) Once a Primary Signal is active, the script tracks the new trend leg.
It automatically draws a dynamic Golden Zone (0.5 – 0.618 Fibonacci Retracement).
If price pulls back into this zone and forms a new MSS, a Re-Entry Triangle is plotted.
Invalidation: If the pullback breaks the original setup's low/high, the zone is removed to prevent bad trades.
⏰ Kill Zone Time Filters Signals are filtered by time to ensure you are trading during high-volume sessions.
Default AM Session: 08:30 – 10:00 (New York Time)
Default PM Session: 14:00 – 15:00 (New York Time)
Fully customizable in settings.
Settings Guide
Key Levels: Toggle PDH/PDL lines and customize colors.
Kill Zones: Enable/Disable time filtering and highlight background colors.
AI Settings:
K-Nearest Neighbors (k): Number of historical neighbors to compare (Default: 5).
Training Window: How far back the AI looks for patterns (Default: 1000 bars).
Visuals: Turn on/off the Golden Zone fib clouds or text labels.
Disclaimer
This tool is for educational purposes only. The "AI" component is a statistical classification algorithm based on historical momentum and does not guarantee future results. Always manage risk and use this indicator as part of a comprehensive trading plan.
Legacy Oscillator | Lyro RSOverview
The ⚜️Legacy Oscillator is a volatility momentum indicator designed to evaluate price behavior relative to its dynamically smoothed mean. By measuring standardized price displacement and filtering it through adaptive moving averages, the oscillator provides insight into trend direction, momentum strength, and cyclical shifts in market structure. This approach allows traders to assess when price is expanding, contracting, or transitioning between regime.
Originality
The core structure of the Legacy Oscillator is built around a volatility WaveFlow calculation that measures standardized price displacement from a dynamically smoothed mean. Rather than relying on raw price momentum or fixed oscillators, the indicator adapts to changing market conditions by combining adaptive moving averages with statistical normalization. This foundation enables the oscillator to respond consistently across different volatility regimes while preserving sensitivity to momentum shifts and structural transitions.
From this base, the script integrates multiple analytical layers within a single framework. These include a WaveFlow oscillator with signal-line interaction, a momentum histogram that captures acceleration and deceleration, an optional volume-weighted Alternative WaveFlow derived from the Money Flow Index, and automated detection of both regular and hidden divergences. Visual context is enhanced through configurable background regimes, dynamic color palettes, zone highlighting, reversal markers, and extensive alert logic. Rather than separating these techniques into isolated tools, the Legacy Oscillator unifies trend, momentum, divergence, and volume-influenced analysis into a cohesive and flexible system suitable for a wide range of trading styles.
Key Features
The indicator includes a wide array of inputs for customization. Users can select the source price for calculations and choose a preferred signal mode from Trend, Slope Trend, Reversion, Extremes and more!
In WaveFlow mode, traders configure the channel length used for volatility normalization, the smoothing length of the oscillator, and the signal length that defines crossover sensitivity. This mode evaluates momentum and trend direction by measuring standardized price displacement relative to a dynamically smoothed mean.
In Reversal & Extremes mode, users define overbought and oversold thresholds that classify statistically stretched conditions. These thresholds are used to highlight potential reversal zones through background states, markers, and alerts when momentum reaches extreme levels.
In Slope & Trend mode, the oscillator’s position relative to its signal line or zero line is used to determine directional bias. This mode emphasizes trend continuation and momentum alignment rather than mean-reversion behavior.
In Alternative WaveFlow mode, traders enable a volume-weighted momentum model derived from a transformed Money Flow Index. This mode incorporates volume dynamics into the oscillator framework, providing an additional perspective for confirming or challenging price-based momentum signals.
In addition, the script provides multiple visualization regimes, including background coloring and zone highlighting, alongside customizable color palettes. Predefined themes or user-defined colors ensure clarity and consistency across different chart environments.
Summary
In summary, the Legacy Oscillator combines volatility momentum analysis with multiple integrated modes, including WaveFlow trend evaluation, extreme-level reversal detection, volume-weighted Alternative WaveFlow, and automated divergence recognition. Its design emphasizes adaptability, visual clarity, and structured signal generation through dynamic coloring, zone highlighting, and alert logic. This makes it a practical framework for traders seeking to assess momentum, trend structure, and potential reversals from multiple perspectives within a single unified tool.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
