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.
波動率
VIX Regime Filter This tool classifies volatility regimes using the spot VIX relative to its own history.
It is designed as a context and risk filter for trend-following systems — not as a timing or signal tool.
Use it to adjust exposure and expectations across volatility environments.
ORB 369 - Opening Range Breakout The ORB 369 is a professional-grade momentum indicator designed to capture the volatility of the New York market open. While many Opening Range Breakout (ORB) scripts simply draw lines, this script integrates time-segmented price action with Supply and Demand (S/D) theory to filter out "fakeouts" and identify high-probability institutional entries.
💡 The Core Concept: Why 3-6-9?
The strategy is rooted in the "Market Open Volatility" principle. The first 15 minutes (9:30–9:45 AM EST) represent the period where institutional orders are processed and "price discovery" is most aggressive.
The Range: We define the 15-minute high and low as the "Battlefield."
The 369 Logic: This script focuses on the 3rd 5-minute candle of the session (completing the 15m range) and monitors the subsequent 5m and 15m cycles for a definitive trend shift.
🛠️ How It Works
The script utilizes Pine Script v6 high-precision time-tracking and state-handling to ensure accuracy even on historical data.
1. Dynamic Session Anchoring
Unlike static indicators, this script uses America/New_York timezone anchoring. It identifies the Opening Range (OR) regardless of your local time, ensuring you are aligned with the NYSE floor traders.
2. Supply & Demand Detection
The script doesn't just look at the high/low; it analyzes the micro-structure within that 15-minute window.
It identifies unmitigated zones (areas where price moved so fast it left "imbalances").
If a breakout occurs but price immediately hits an internal S/D zone, it warns the trader of a potential "Look Above and Fail" scenario.
3. Breakout Confirmation (5m Logic)
A common mistake is entering on a "wick." This script uses Closing Logic:
Bullish Signal: A 5-minute candle must close entirely above the 15m High.
Bearish Signal: A 5-minute candle must close entirely below the 15m Low.
The script then repaints the candle body (defaulting to Blue/Red) to provide an instant visual cue that the "Breakout is Confirmed."
📈 How to Use It
Wait for the Box: At 9:45 AM EST, the script will automatically lock in the High, Low, and Midpoint (Mean) of the range.
Monitor the Midpoint: The Midpoint acts as the "Line in the Sand." If a breakout occurs but price stays near the Midpoint, the trend is weak. If price stays in the upper half of the range, the Bullish bias is stronger.
The Entry: Wait for the Candle Color Change. A blue candle above the range suggests a long entry; a red candle below suggests a short.
Supply/Demand Zones: If the script highlights a "Demand Zone" at the bottom of the range and price bounces off it before breaking the top, this provides a "double-confluence" setup.
⚙️ Technical Features
Customizable Aesthetics: Use the Settings menu to change the breakout colors (Green/Blue/Red) to match your personal chart theme.
Smart Tooltips: Hover over the inputs in the settings to see detailed explanations of what each parameter does.
Alert Ready: Built-in alerts for "Bullish Breakout" and "Bearish Breakout" that can be sent directly to your phone or desktop via TradingView.
Zen Lab ALL-IN-ONE🧠 Zen Lab All-In-One Trading Toolkit
The Zen Lab All-In-One indicator is built for traders who want structure, confluence, and volatility awareness in one clean system — without cluttering their charts with 10 different tools.
This combines news awareness, ATR volatility planning, session levels, trend context, and execution checklists into a single professional trading assistant.
📰 Smart News Filter (Stay Out of Chaos)
The indicator automatically highlights only the news events that actually move markets:
🔴 High-Impact Economic Events
⚪ Market Holidays
No low-impact noise. No unnecessary distractions.
Just the events most likely to cause volatility spikes.
✔️ On-chart vertical news markers
✔️ Optional news table
✔️ Designed for intraday and session traders
📏 Customizable ATR Volatility Tool
Trade based on real market movement, not guesswork.
The built-in ATR table lets you:
• View current ATR
• Calculate stop loss distance using ATR multipliers
This helps you size trades based on conditions, not emotions.
📋 Confluence Checklist (Execution Discipline)
Stay consistent with your trading rules.
The on-chart checklist allows you to track your confluences before entering a trade, helping reduce impulsive decisions and reinforcing discipline.
Great for traders who follow a structured system.
📈 Moving Average Trend Context
Includes a built-in moving average to help you quickly identify current trend direction and market bias without adding extra indicators.
Perfect for confirming lower timeframe direction
🌍 Session High & Low Identifier
Know where the real liquidity is.
Automatically marks key session ranges so you can:
✔️ Spot session breakouts
✔️ Trade liquidity sweeps
✔️ Identify expansion from consolidation
Designed for London, New York, and Asian session strategies.
USA SR Momentum Official Invite-OnlyUSA SR Momentum — Invite-Only (Integrity Edition)
Contact : gm2hoops@gmail.com
Purpose
Sector rotation + market alignment dashboard using normalized Heat (-100..100) with higher timeframe confirmation, confluence scoring, optional whale markers, and an MTF matrix.
Documentation (PDF)
Quick Start:
raw.githubusercontent.com
User Guide:
raw.githubusercontent.com
Support: Send screenshot + BUILD ID shown on the dashboard. gm2hoops@gmail.com
Access is tied to your TradingView username & email address.
Disclaimer
Informational/educational only. Not financial advice. No guarantees. You are responsible for all decisions and risk management.
SolQuant Synthetic Max PainOverview
SolQuant Synthetic Max Pain is a professional-grade analytical tool that identifies institutional support and resistance zones through modeled Open Interest (OI) distributions. By pinpointing "Maximum Pain" levels—where the highest concentration of leveraged positions would face theoretical liquidation—this indicator helps traders anticipate high-probability reversal zones and market maker price targets.
Key Features
Multi-Timeframe Anchor Logic: Simultaneously tracks and displays Max Pain levels for Hourly, 4-Hour, Daily, and Weekly anchors, providing critical context for both day and swing traders.
Permanent Historical Tracking: Unlike the Lite version, this version maintains permanent historical lines, allowing you to backtest exactly how price has reacted to Max Pain zones in the past.
Synthetic OI Distribution Model: Uses a Gaussian modeling approach to simulate market positioning, with adjustable Put/Call biases to account for directional market skew.
Dynamic Strike Management: Employs an "Auto Strike Increment" that scales with price volatility (~1% of price), ensuring levels remain accurate across all asset classes and market regimes.
Integrated Info Dashboard: A real-time table provides an immediate glance at current anchor prices and their corresponding Max Pain targets across all enabled timeframes.
How it Works
The script generates a synthetic strike ladder centered on each timeframe's open (the anchor). It identifies where "Maximum Pain" is concentrated by weighting strikes away from that anchor price. MP Long (Support) represents the peak theoretical Put OI, while MP Short (Resistance) marks the peak Call OI. These levels act as liquidity magnets where market participants are most exposed.
Comparison: Full vs. Lite Version
While the Lite version offers essential intraday support, this Full Version is designed for deeper analysis:
Macro Context: Adds 4-Hour and Weekly anchors, whereas Lite is restricted to Hourly and Daily.
Historical Insight: Provides permanent historical lines for strategy backtesting, a feature absent in the Lite version.
Advanced Visibility: Includes expanded labeling and max_lines support for a more detailed chart overview.
Disclaimer
This indicator is for educational and analytical purposes only. It uses mathematical modeling for synthetic levels and does not represent actual exchange order books or guaranteed price targets.
SolQuant Synthetic Max Pain LiteOverview
SolQuant Synthetic Max Pain Lite is an analytical tool designed to model and visualize critical support and resistance levels based on synthetic Open Interest (OI) distributions. By calculating the "Maximum Pain" points for leveraged positions, it identifies price levels where the greatest number of option-style contracts (Longs and Shorts) would face theoretical maximum losses.
Key Features
Synthetic Max Pain Modeling: Uses a Gaussian OI distribution model to estimate strikes where leveraged traders are most exposed.
Dual Anchor Timeframes: Automatically anchors calculations to the Hourly and Daily opens to provide both short-term and intraday support/resistance zones.
Market Skew Bias: Includes adjustable Put and Call bias settings to account for bullish or bearish market sentiment, shifting the Max Pain levels accordingly.
Automated Strike Selection: Features an "Auto Strike Increment" mode that dynamically adjusts strike distances based on current price volatility (~1% of price).
Real-Time Visualization: Displays bold, color-coded lines and labels for MP Long (Support) and MP Short (Resistance) with an optional midline for average value tracking.
On-Chart Info Table: A customizable dashboard provides a quick reference to current anchor prices and their associated Max Pain levels.
How it Works
The script generates a synthetic strike ladder centered on a specific timeframe's anchor price. It applies an OI distribution model—weighting strikes further from the anchor—to simulate realistic market positioning. The "Max Pain" levels are then derived from the strikes containing the highest theoretical OI concentrations: MP Long (Support) is the peak put OI below the anchor, while MP Short (Resistance) is the peak call OI above it.
Lite vs. Full Version
This Lite version focuses on essential intraday levels. For professional traders requiring higher-timeframe context, the full SolQuant Synthetic Max Pain indicator includes:
4-Hour & Weekly Anchors: Additional anchors for swing trading and macro analysis.
Historical Tracking: Permanent historical lines to analyze past reactions at Max Pain zones.
Advanced Distribution Control: Granular control over OI modeling parameters.
Disclaimer
This indicator is for educational and analytical purposes only. It uses mathematical modeling for synthetic levels and does not represent actual exchange order books or guaranteed price targets.
USA Sector Rotation Momentum - Integrity Edition [Invite Ready]USA SR Momentum — Invite-Only (Integrity Edition)
Purpose
Sector rotation + market alignment dashboard using normalized Heat (-100..100) with higher timeframe confirmation, confluence scoring, optional whale markers, and an MTF matrix.
Documentation (PDF)
Quick Start:
raw.githubusercontent.com
User Guide:
raw.githubusercontent.com
Support
Send a screenshot and include the BUILD ID shown on the dashboard.
Disclaimer
Informational/educational only. Not financial advice. No guarantees. You are responsible for all decisions and risk management.
Support: Send screenshot + BUILD ID shown on the dashboard.
Access is tied to your TradingView username.
Disclaimer: Informational only, not financial advice.
Momentum Fusion X StrategyMomentum Fusion X Strategy — Conceptual Overview
Momentum Fusion X Strategy is a selectively reactive market-participation system designed to engage only when price behavior exhibits structured directional clarity across multiple internal evaluation layers.
Rather than responding to isolated indicators or short-term noise, the strategy operates on a confirmation-based framework where trades are activated only when the broader internal state of the market demonstrates sufficient directional agreement.
This approach intentionally prioritizes quality of participation over frequency, allowing the system to remain inactive during uncertain or low-information phases.
The strategy has demonstrated its strongest performance characteristics on MIDCAPNIFTY, while remaining structurally adaptable to other instruments and market environments.
Structural Philosophy
The internal architecture is built around a multi-layered decision model:
Directional Consensus Framework
Trades are considered only when multiple independent internal components align in the same directional bias. No single condition is capable of triggering a trade independently.
Momentum Confirmation Logic
Price movement is evaluated in a manner that emphasizes continuation strength rather than short-lived reactions. This helps reduce participation during false breakouts or choppy market behavior.
Noise Suppression
The system actively filters out ambiguous conditions, remaining flat during periods where directional intent lacks clarity or conviction.
This structural discipline ensures consistency and prevents over-trading, particularly on lower timeframes.
Trade Behaviour & Execution
Trade Initiation
Positions are initiated only when internal directional alignment reaches a predefined quality threshold. Partial or conflicting conditions are intentionally ignored.
Trade Exit
Positions are closed dynamically when internal momentum deteriorates or when directional alignment weakens, helping limit exposure during transitions or reversals.
Market Inactivity
On a 1-minute timeframe, the strategy may show fewer trades in backtests. This is by design and reflects strict filtering rather than missed opportunities, especially given the limited historical depth of 1-minute candle data.
Automation & Execution Support
The script includes a built-in Dhan webhook alert system, allowing traders to automate execution workflows if desired.
Alerts are aligned directly with the strategy’s internal execution logic to maintain consistency between backtest behavior and live alert triggers.
Commission and slippage are factored into the strategy configuration to provide a more realistic simulation of execution conditions.
Commission: 0.01%
Slippage: 2 points
Intended Usage Context
Timeframe: 1-Minute
Performance Note: Best observed on MIDCAPNIFTY, while remaining adaptable across markets
Trading Style: Intraday, momentum-based participation
Trade Frequency: Selective by design (lower frequency on lower timeframes)
Users are encouraged to apply independent capital allocation, position sizing, and risk controls appropriate to their trading plan.
Intellectual Property Notice
The internal construction, scoring logic, alignment thresholds, and execution conditions are intentionally abstracted.
This description explains the conceptual philosophy without exposing implementation details, preserving the originality and intellectual integrity of the strategy.
Direct replication of the internal logic is neither implied nor supported by this publication.
Disclaimer
This strategy is provided strictly for educational, research, and analytical purposes.
Market behavior evolves over time, and historical performance does not guarantee future results.
Users are responsible for forward testing, execution decisions, and risk management when applying this strategy in live market conditions.
DCA + Martingale strategy.DCA + Martingale: smart synergy for volatile markets
Tame market swings with a powerful hybrid strategy that marries the discipline of Dollar‑Cost Averaging (DCA) with the aggressive recovery logic of the Martingale system. This approach turns price dips into opportunities — systematically building positions while keeping risk in check.
How it works:
1. Entry trigger
The strategy activates when the asset price drops by a predefined percentage on the 1‑hour timeframe. This ensures you only engage when a meaningful pullback occurs, avoiding premature entries.
2. DCA grid for controlled averaging
Once the entry condition is met, a grid of buy orders is deployed:
Each subsequent order is placed at progressively lower price levels (e.g., every 2–5% drop).
Order sizes can be fixed or follow a progressive scale (e.g., 1x, 1.5x, 2x the initial amount).
This dilutes your average entry price, improving the breakeven point as the market corrects.
3. Martingale‑style recovery mechanism
After each unsuccessful trade (i.e., price continues falling), the next position size is increased — not necessarily doubled, but scaled according to your risk tolerance. This accelerates recovery potential when the trend reverses.
4. Take‑profit with a fixed percentage target
A simple, predefined profit target (e.g., +3–7%) is set for the entire averaged position. Once hit, all open trades close, locking in gains. This prevents over‑exposure during uncertain reversals.
Key advantages
Psychological edge: removes emotional decision‑making by automating entries and exits.
Cost optimization: lowers average entry during downtrends, improving profit potential.
Controlled aggression: Martingale logic helps recoup losses faster without infinite scaling.
Flexibility: parameters (entry %, grid spacing, position sizing, TP) are fully customizable.
Risk management essentials
Stop‑loss safeguard: a hard stop‑loss (e.g., 10–15% below the lowest grid level) prevents catastrophic drawdowns in prolonged downtrends.
Position sizing: never risk more than 1–3% of capital per grid cycle.
Market context: best suited for assets with mean‑reverting behavior and moderate volatility. Avoid strong, sustained trends.
Capital buffer: ensure sufficient reserves to withstand multiple grid levels without margin calls.
When to use it
During sideways or range‑bound markets with regular pullbacks.
On assets with historical tendency to recover from short‑term dips.
When you expect a bounce but can’t pinpoint the exact bottom.
Bottom line
DCA + Martingale isn’t a «set‑and‑forget» miracle — it’s a disciplined framework for turning volatility into opportunity. Combine it with rigorous risk rules, and you’ll navigate downtrends with precision, turning market noise into structured profit potential.
Ultimate Trade By MJ1. Core Concept
This is a professional Trend-Following system designed to filter out market noise and capture high-probability moves. It uses a proprietary "Trend Anchor" line combined with a dynamic "Volatility Cloud" to determine trade entries.
2. Visual Components
The Trend Anchor (Center Line):
This line represents the "fair value" of the market.
Green: The market bias is Bullish (Up).
Red: The market bias is Bearish (Down).
The Cloud (Bands):
These are the shaded zones around the Trend Anchor. They expand and contract based on market activity.
Function: The Cloud acts as a "Safe Zone." As long as price is stuck inside the cloud, the market is considered choppy/ranging (No Trade Zone).
3. The "Cloud Breakout" Strategy
This strategy prevents you from entering too early or too late. It requires momentum to break through the Cloud barrier before signaling a trade.
🟢 BUY Signal Rules:
Trend Check: The Center Line must be Green.
The Breakout: A candle must close ABOVE the top of the Previous Cloud.
Logic: We compare against the previous bar's cloud to ensure a true breakout has occurred.
Exit/Stop Loss: The Stop Loss is automatically calculated at the bottom of the Cloud (the invalidation point).
🔴 SELL Signal Rules:
Trend Check: The Center Line must be Red.
The Breakout: A candle must close BELOW the bottom of the Previous Cloud.
Exit/Stop Loss: The Stop Loss is automatically calculated at the top of the Cloud.
4. Re-Entry Signals (Triangles)
Once a trend is established, the system looks for "pullbacks" to add to the position.
Green Triangle: Price dipped into the cloud but found support and bounced back up. (Buy the Dip).
Red Triangle: Price rallied into the cloud but hit resistance and dropped back down. (Sell the Rally).
Adaptive Trend Flow (ATF)Adaptive Trend Flow (ATF) is a custom trend-following indicator designed to work reliably across all markets and all timeframes.
It uses an adaptive moving average that automatically adjusts to market conditions, combined with trend slope analysis and a volatility filter to reduce noise during ranging periods.
Unlike traditional fixed moving averages, ATF reacts faster during strong trends and slows down during consolidation, helping traders stay aligned with meaningful price movements.
🔍 How It Works
Uses an adaptive smoothing algorithm to track price efficiently
Confirms trend direction using trend slope
Filters out low-volatility and choppy conditions using ATR-based logic
Does not repaint — signals are based only on confirmed data
📊 Visual Interpretation
🟢 Green line / background → Bullish trend
🔴 Red line / background → Bearish trend
⚪ Gray → No clear trend (range / low volatility)
⚙️ Features
Works on Crypto, Forex, Stocks, Futures
Compatible with all timeframes
Optional trend-change signals
Optional background highlighting
Fully customizable inputs
Alert-ready
🎯 Best Use Cases
Trend filter for entries and exits
Directional bias for scalping, day trading, or swing trading
Strategy backbone when combined with price action or momentum tools
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
ATR with History (Red/Yellow Style)Gives you last 20 candles ATR (Red Line) , and averages the last 2 weeks' ATR at your current time (Yellow Line)
ARTC MTF Scenario Engine & Signals v.1ARTC is a multi-timeframe market-structure + FVG engine built to produce selective, high-quality confirmed BUY/SELL signals using an Acceptance → Retest → Continuation framework.
It combines:
Liquidity structure (BSL/SSL)
5m execution FVGs + 15m/30m HTF FVG context
Trend + intent confirmation (EMA, DMI/ADX, Vortex, Squeeze)
Optional mitigation-style confirmation
Signals are designed to be rare and context-aware, not spammy. A compact on-chart dashboard shows the active scenario, scores, key levels, distances, and gate status.
Best use : 5-minute charts for entries, with HTF zones for targets/invalidation.
Note : Not financial advice—use proper risk management.
Volatility Spike SR Zones-AUTO Profile . Persistent . Neon📌 Overview
Volatility Spike SR Zones is a dynamic support–resistance zone strategy based on volatility spikes and volume filters.
It automatically identifies and clusters spike-based price levels, dynamically adapting to market volatility to visualize high-probability reversal or continuation zones in real time.
Alerts are triggered on bounce confirmations or invalidations for clear entry and exit signals.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
The main goal is to detect zones where strong volatility spikes occur and price tends to reverse or consolidate.
Identify high-impact spike areas automatically
Provide consistent entry logic via bounce/invalid conditions
Auto-adjust to market type (FX, Gold, Crypto, Index)
✨ Key Features
ATR-based Zone Width: Zone width adapts automatically via ATR × profile coefficient for each market type
Volume Filtering: Detects “true” volatility spikes using SMA-based and recent-high volume thresholds
Persistent Drawing: Zones, midlines, and labels are stored and updated dynamically with nearest zones highlighted in neon
📊 Trading Rules
Long Entry: When the nearest support zone is touched and the close returns above it → trigger “Support Bounce Confirm” for entry.
Short Entry: When the nearest resistance zone is touched and the close returns below it → trigger “Resistance Bounce Confirm” for entry.
Exit / Reversal: Close positions immediately when the zone is invalidated (broken close beyond zone), or reverse if opposite bounce confirmation occurs.
💰 Risk Management Parameters
Market / Timeframe: Any (auto-detects FX / Gold / Crypto / Index; recommended M5–H4)
Account Size: $10,000 (example; adjustable)
Commission: 0.02% (example)
Slippage: 2 pips (example)
Risk per Trade: 1.0% (example)
Number of Trades (test period): variable (depends on market & timeframe)
※ All parameters can be adjusted according to your broker conditions and trading plan.
⚙️ Trading Parameters & Considerations
Indicator Name: Volatility Spike SR Zones (AUTO Profile • Persistent • Neon)
Main Inputs:
Lookback (pd): 22 (volatility evaluation window)
BB StDev Mult (mult): 2.0 (Bollinger Band deviation multiplier)
ATR Length: 14 (zone width adaptation)
Auto Profile Logic:
Automatically switches between FX / Gold / Crypto / Index parameters
Volume filter uses SMA × multiplier or recent max breakout
Zone width can use ATR-based or fixed tick width (recommended: ATR)
🖼 Visual Support
Support zones = green; Resistance zones = red; Nearest zones glow (Neon highlight)
Midline (dotted), zone labels with touch count and profile name
Safety-limited drawing for performance and stability
🔧 Strategy Improvements & Uniqueness
Inspired by volatility-based SR and Bollinger spike detection concepts, this strategy introduces:
Auto profile optimization for each market type (ATR & volume thresholds)
Clustering and scoring system for “most active” zones
Persistent drawing with real-time nearest zone highlights and invalidation alerts
Compared to static horizontal or pivot-based SR, it focuses on volume-backed demand/supply levels for higher signal reliability.
⏱ Practical Entry Guidance
Enter immediately after a bounce confirmation candle
Stop Loss: just beyond the opposite side of the zone (≈ 0.5–1× ATR)
Take Profit: 1.5R–2R or near the next opposite zone
Reduce position size around high-volatility events to avoid false invalidations
✅ Summary
Volatility Spike SR Zones combines volatility spike detection, adaptive ATR-based zone sizing, and volume confirmation to identify powerful reaction zones automatically.
It offers clear visual cues and alert-based trade logic, making it suitable for both discretionary and semi-automated trading systems.
⚠️ This strategy is based on historical data and does not guarantee future profits. Always apply proper risk management and forward testing before live trading.
Chhatrapati AIChhatrapati AI Indicator
Overview
The Chhatrapati AI Indicator is an advanced trading companion that blends intelligent trailing stop management, breakout detection, order block identification, and volume-based demand/supply zones into one unified system. Built for clarity and precision, it provides traders with actionable signals, risk/reward insights, and visually intuitive chart overlays.
✨ Key Features
🔹 Chhatrapati Trend Confirmation
Proprietary Chhatrapati adaptive logic for trend detection.
ATR-based bands for regime identification.
Automatic classification of bullish/bearish phases with volume delta confirmation.
🔹 Breakout & Breakdown Finder
Detects bullish and bearish breakout structures using pivot highs/lows.
Configurable breakout length, threshold rate, and minimum test count.
Plots breakout/breakdown arrows and lines with alert conditions.
🔹 Order Block Finder
Identifies bullish and bearish order blocks based on candle sequences.
Configurable periods and minimum percent move threshold.
Minimal plotting with clean visual markers.
🔹 Volume-Based Demand & Supply Zones
Multi-timeframe demand/supply zone plotting (up to 4 TFs).
Extend zones to the right or until next zone.
Customizable line styles, widths, and zone colors.
Alerts for zone entry, breakout, breakdown, or new zone detection.
🔹 Smart Trailing Stop Management
Flexible trailing methods: Auto, Percentage, and Pivot.
Adjustable sensitivity with customizable lookback size.
Bias control: Bullish, Bearish, or Auto.
Dynamic plotting with color-coded fills for clarity.
🔹 Unified Trade Info Table
Displays symbol, trend bias, momentum, risk/reward ratio, trade type, entry price, and live PnL.
Professional formatting with customizable colors and table sizes.
🔔 Alerts
Confirmed Buy/Sell Alerts via Chhatrapati Trend Confirmation.
Breakout/Breakdown alerts.
Volume-based demand/supply zone alerts.
🎯 Use Cases
Swing traders: Spot breakouts and order blocks with confirmation.
Intraday traders: Track demand/supply zones across multiple timeframes.
Risk managers: Monitor live PnL, risk/reward, and minimum winrate.
Trend followers: Use Chhatrapati adaptive logic + ATR bands for regime detection.
Kalman Hull Bands For Loop | RakoQuant Kalman Hull Bands For Loop | RakoQuant
RakoQuant | Kalman Hull Bands For Loop is a trend-following breakout + regime tool built to keep you on the right side of the market with clean structure and minimal noise. It combines a Kalman Filter (noise reduction), a Hull Moving Average baseline (responsive trend anchor), and a standard deviation envelope computed via a for-loop (robust rail bands) to define actionable bullish and bearish regimes.
What it does
This indicator builds a dynamic “rail system” around price:
Kalman Filtered Source → reduces measurement noise in the input series.
Hull Baseline (HMA) → fast trend baseline built on the Kalman-filtered source.
Deviation Bands (“Rails”) → upper/lower rails based on a loop-calculated standard deviation.
Regime Breakout Logic → trend regime flips only when price breaks out beyond the rails:
Bullish regime when close crosses above the upper rail
Bearish regime when close crosses below the lower rail
Once a regime is established, the tool highlights the active rail in bright neon and fades the inactive rail (optional), giving you a clear “trend corridor” and a strong visual state.
Key Features
1) Kalman Noise Filtering (R & Q)
The Kalman filter smooths the selected source using:
R (Measurement Noise) – how noisy you assume the observations are
Q (Process Noise) – how quickly the model is allowed to adapt
This helps reduce chop without turning the indicator into a laggy moving average.
2) Hull Baseline (fast + smooth)
The baseline is a Hull Moving Average applied to the Kalman-filtered source:
responsive in trend,
cleaner during transitions,
ideal for breakout regime detection.
3) Deviation Envelope with Two Modes
Deviation rails are calculated using a for-loop standard deviation (population stdev), with two choices:
Residual vs Baseline (default): deviation of (src - baseline)
→ focuses on “distance from fair value” instead of raw price volatility
Raw Source: deviation of the source itself
→ classic volatility envelope behavior
Then bands are formed by:
upper = baseline + mult * sd
lower = baseline - mult * sd
4) Regime Rails + Candle Painting (RakoQuant Neon)
Bull regime: active lower rail plotted in Neon Aqua
Bear regime: active upper rail plotted in Neon Magenta
Candles are painted to match the current state (optional)
Inactive rails can be shown faintly for context.
5) Alerts for Breakouts
Built-in alerts trigger exactly on regime flips:
Bull Breakout (close crosses above upper rail)
Bear Breakout (close crosses below lower rail)
How to Use It
Trend-following approach
Stay with the active regime until a breakout flip occurs.
In bull regime, the lower rail behaves like an adaptive trend support guide.
In bear regime, the upper rail behaves like an adaptive trend resistance guide.
Breakout confirmation
Use the breakout as a confirmation layer with your other confluences:
take longs only after a bull breakout,
take shorts only after a bear breakout,
filter mean-reversion trades by the regime state.
Inputs Summary
Source: select what the model tracks (default: high)
Kalman: R / Q controls smoothing vs responsiveness
Baseline: Hull length
Deviation: loop length, mode (Residual vs Baseline / Raw Source), multiplier
Visuals: candle painting, baseline visibility, inactive rails
Disclaimer
Backtests are based on historical data and are not indicative of future performance.
:
Apex Wallet - Adaptive Average Directional Index (ADX) & Trend DOverview The Apex Wallet Average Directional Index (ADX) is an enhanced version of the classic Wilder’s DMI/ADX system, designed to filter market noise and pinpoint trend strength with precision. Unlike standard indicators, this script features an adaptive engine that recalibrates its internal logic based on your specific trading style.
Adaptive Trading Engine The core strength of this script is its three-mode preset system:
Scalping: Fast-response settings (ADX 7) for quick scalp opportunities on low timeframes.
Day-Trading: Balanced settings (ADX 14) optimized for intraday sessions.
Swing-Trading: High-filter settings (ADX 21) designed to capture major market waves.
Visual Intelligence & Labels To ensure clarity, the script features a dynamic labeling system directly on the ADX line:
Trend Strength Zones: Clear horizontal markers for "Consolidation," "Trending," and "Extremely Strong" phases.
Real-time Status Labels: The ADX line changes color and displays its current state (Bullish, Bearish, or Consolidation) directly on the chart.
Optimized UI: No sidebar panels to clutter your view; all essential information is integrated into the oscillator window.
How to Use:
Select your Trading Mode in the settings.
Monitor the ADX color: Green indicates a strong bullish trend, Red indicates a strong bearish trend, and White/Orange signals consolidation.
Use the labels to confirm if the market is currently in a high-conviction trend phase or sideways range.
Donchonian Channel simplified HMD1This Donchian channel is simplified.
The color bands from high and low to the center are faintly tinted with a 5% transparency.
All parameters are adjustable.
Clean CPR v7.0 (Call & Put)// --------------------------------------------------------------------
// DESCRIPTION
// --------------------------------------------------------------------
// Clean CPR v7.1 is a multi-module trading and analysis toolkit built
// around Central Pivot Range (CPR) for intraday and swing trading.
//
// Core features:
// • Daily / Weekly / Monthly CPR with fills, labels and price display
// • Automatic CPR width classification (Super Narrow → Wide)
// • Visual alert when today’s CPR is WIDE (“WIDE CPR TODAY”)
// • Trade filtering: Wide CPR days are blocked from new entries
// • Pivot-based Support & Resistance (R1–R5, S1–S5, optional historical)
// • Developing CPR and Developing R1 / S1 levels
// • Previous Session High/Low with optional shaded zones
// • Dual Donchian Channels with auto-alignment coloring
// • Anchored Day-Open VWAP
// • Initial Balance (first hour range)
// • CPR + ATR + EMA + Fundamentals information table
// • Integrated 1H Call & Put breakout strategy with Supertrend, ADX,
// ATR trailing stop, targets, gap handling and time filters
//
// This script is designed as a single dashboard combining market bias,
// volatility, structure, and execution logic in one indicator.
// --------------------------------------------------------------------
Institutional Alpha Vector | D_QUANT Institutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an original trend-following framework that replaces single-indicator bias with a Weighted Composite Score . Instead of relying on a simple moving average, this script aggregates four distinct quantitative dimensions—Price, Momentum, Volatility, and Volume—into a normalized value called the "Alpha Vector."
The goal of this tool is to identify "Institutional Consensus"—periods where multiple mathematical models align in the same direction, reducing the likelihood of false breakouts in choppy markets.
How It Works: The Quantitative Engines
The script calculates four independent signals. For each module, a state is stored (1 for Bullish, -1 for Bearish, 0 for Neutral).
1. Price Filter (Hull Moving Average):
The script uses an HMA (a weighted moving average that reduces lag by using the square root of the period). A signal is triggered when the price crosses over/under this "Spine."
2. Volatility Regime (RMA + ATR):
This module uses a Moving Average (RMA) combined with an Average True Range (ATR) offset. It acts as a volatility filter that price must move beyond 1 ATR from the mean to register a trend, ensuring the market isn't just "drifting."
3. Momentum Physics (ADX/DMI):
Based on J. Welles Wilder’s Directional Movement Index. It checks if the is above (or vice versa) but only if the ADX (Average Directional Index) is above a user-defined threshold (default: 10), confirming the presence of a strong trend.
4. Institutional Flow (Chaikin Money Flow):
This confirms price action with volume. It calculates the accumulation/distribution of money flow over a specific period. A signal is only valid if the CMF is positive (Bullish) or negative (Bearish).
The Alpha Vector Calculation
This is the core "originality" of the script. The indicator takes the active modules and calculates a Composite Score :
This results in a value between -1.0 and +1.0 .
* High Confidence Long: When the score exceeds +0.1 (adjustable).
* High Confidence Short: When the score drops below -0.1 (adjustable).
* Neutral Zone: When the score is near 0, the script colors the bars grey, signaling a lack of institutional consensus.
Visual Intelligence: The "Electric Conduit"
The script visualizes market energy through a custom rendering engine:
* The Spine: A central line representing the HMA trend.
* The Conduit (Fill): A dynamic gradient that expands or contracts based on the ATR (Average True Range) . This allows traders to see "volatility expansion" (wide ribbon) vs "compression" (tight ribbon) at a glance.
* Bar Coloring : Automatically aligns the chart candles with the Alpha Vector state to remove cognitive load.
How to Use
1. Define your Strategy: In the settings, you can toggle specific modules. If you are trading a low-volume asset, you might disable the **CMF** module.
2. Identify the Consensus: Look for the ribbon to change from Grey (Neutral) to Cyan/Gold.
3. Monitor the HUD: A small dashboard in the bottom right displays the live Alpha Vector score. A score of 1.0 means all four engines are in 100% bullish agreement.
Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes and does not constitute financial advice.
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.
---
⚙️ 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.
TradeX Guru: Trap Hunter "We don't chase price. We set traps."
Most retail traders get slaughtered in the first hour of the market (09:15 – 10:15) because they chase "Fake Breakouts." They see a green candle breaking the high and buy immediately—only to watch the price reverse instantly.
The TradeX Trap Hunter is an institutional-grade algorithm designed to identify these Liquidity Traps. It visualizes where "Smart Money" is hunting stop-losses and helps you trade with the institutions, not against them.
🧠 The Logic: Anatomy of a Trap
The algorithm does not use lagging indicators like MACD or RSI. It uses pure Price Action & Time. It scans the "Kill Zone" (Volatility Window) for a specific 3-step institutional pattern:
The Lure (Liquidity Grab): Price breaks the Morning High or Low. This lures in aggressive breakout traders and triggers the Stop Losses of early reversals. This creates a pool of "Liquidity."
The Trap (Rejection): Instead of continuing, the price fails to hold the level and closes back inside the range. This proves the breakout was fake.
The Kill (Momentum Shift): A momentum candle breaks the structure of the trap candle. This is the confirmation that the reversal is real.
🚦 Visual Signal System (Traffic Light Logic)
The indicator uses a color-coded system to guide your discipline.
⚪ WAIT (Grey Label):
Status: A Trap has been detected.
Action: DO NOTHING. The market is baiting you. Wait for confirmation.
🟣 BEARISH BIAS (Purple Candle):
Status: The "Floor" of the trap candle has been broken by a close.
Meaning: Sellers have trapped the buyers at the top. Momentum is Down.
🟠 BULLISH BIAS (Orange Candle):
Status: The "Ceiling" of the trap candle has been broken by a close.
Meaning: Buyers have trapped the sellers at the bottom. Momentum is Up.
🛡️ Auto-Pilot Risk Management
The moment a signal is confirmed (Purple/Orange), the algorithm automatically calculates and draws your trade parameters on the chart:
🔴 Red Line (Invalidation): Placed at the High/Low of the trap. If price crosses this, the setup is failed.
🟢 Green Line (Target): Placed at the opposing side of the session range. This is where the liquidity is waiting.
💻 The Institutional Dashboard
A premium "Heads-Up Display" keeps you focused on the current session status.
Market State: Alerts you if the "Kill Zone" (09:15-10:15) is OPEN or CLOSED.
Strategy Status: Tells you if the algo is "Scanning," "Pending Confirmation," or "Active."
Current Bias: Displays the real-time direction (Bullish/Bearish) only when confirmed.
⚙️ Customizable Hunter Settings
1. Session Settings
Volatility Window: Default is 0915-1015 (Best for Nifty/BankNifty).
Crypto/Forex Users: Change this to the London or New York Open time.
2. Strict Filters (The Teacher Mode)
✅ Require Candle Break (Default: ON): This is the "Safety Filter." The signal will NOT fire unless a candle explicitly closes past the trap's wick. This filters out weak reversals.
☑️ Require Volume Spike (Optional): If enabled, the algorithm will ignore traps that occur on low volume, ensuring only high-participation moves are signaled.
📋 Best Practices
Timeframe: Optimized for 5-minute charts. (Can be used on 3m or 15m).
Assets: Works best on High-Liquidity instruments like BankNifty, Nifty 50, and F&O Stocks.
Discipline: Never enter on the Grey Label. Always wait for the Candle Color Change.
Disclaimer: This tool is for educational market analysis only. It highlights price action concepts (Traps & Momentum) and does not guarantee future results. Trading involves significant risk.
