Root Deviation Loop | Lyro RSThe Root Deviation Loop indicator is a multi-mode trend signal tool that detects price momentum and breakout conditions using Root Mean Square Deviation (RMSD) instead of standard deviation. It provides a flexible framework for analyzing market conditions through three distinct signal generation methods: Bollinger Band-style deviation, a loop-based scoring system, and a hybrid combined signal. These modes help highlight trend continuation or reversal zones with a focus on smoothing out noise and avoiding extreme outlier effects.
Indicator Modes
Bollinger-Style RMSD Bands
This mode plots upper and lower volatility bands using RMSD around a selected moving average. RMSD is used instead of standard deviation for a more stable measurement of price dispersion. The formula for the bands is:
Upper Band = Moving Average + (RMSD × Multiplier)
Lower Band = Moving Average − (RMSD × Multiplier)
The bands dynamically expand and contract based on market volatility. Crossovers above or below these bands are used to signal trend shifts or breakouts.
For-Loop Momentum Scoring
This mode calculates a loop-based trend score by comparing the RMSD-weighted source to its historical values within a defined range. The loop evaluates the directional bias of price changes:
If the current value is greater than past values, it adds to the score.
If it is lower, it subtracts from the score.
This produces a net momentum score used to determine bullish or bearish dominance.
RMSD Weighted Source = (Price × RMSD) / RMSD
Score = Sum over loop: (src > src ) ? +1 : -1
Combined Signal
This mode merges the outputs of the Bollinger RMSD and For-Loop modes. It averages both signals into a single composite score. A long or short signal is generated based on whether the combined score crosses above or below user-defined thresholds.
Signal Interpretation
In the Bollinger Bands mode, signals are generated based on price interaction with the RMSD bands:
A long signal occurs when price crosses above the upper RMSD band
A short signal occurs when price crosses below the lower RMSD band
No signal is produced when price remains between bands
These signals suggest potential breakout points when price momentum exceeds recent volatility-defined boundaries.
⚠️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.
Trend
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals.
🔶 Advanced Dual-Component Momentum Engine
Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics.
// Core Momentum Framework
EMA_Fast = ta.ema(src, Fast_Length)
EMA_Slow = ta.ema(src, Slow_Length)
Trend = EMA_Fast - EMA_Slow
// Volatility Regime Detection
ATR_Short = ta.atr(ATR_Length)
ATR_Long = ta.atr(ATR_Length * 2)
Vol_Ratio = ATR_Short / ATR_Long
Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1)
// Pressure Component
Pressure = (close - open) / (high - low)
// Composite Momentum
Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight)
🔶 Hyperbolic Tangent Normalization Framework
Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion.
// Tanh Clamping Logic
tanh(x) =>
x_clamped = clamp(x, -5.0, 5.0)
e = exp(2.0 * x_clamped)
(e - 1.0) / (e + 1.0)
Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale
🔶 Volatility Regime Weighting System
Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure.
🔶 Multi-Tiered Band Architecture
Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection.
🔶 Pulse Envelope Visualization
Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity.
🔶 Signal Line Integration Framework
Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts.
🔶 Histogram Divergence Display
Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis.
🔶 Advanced Reversion Signal Logic
Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions.
🔶 Comprehensive Alert Framework
Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation.
🔶 Adaptive Bar Coloring System
Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis.
🔶 Performance Optimization Architecture
Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis.
🔶 Why Choose Tanh-Clamped Momentum Oscillator ?
This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
SMC: Multi-TF Bias & HTF BOS with SessionsOverview
The HTF BOS (Session) - Precision Lines is a comprehensive trading tool designed for Smart Money Concepts (SMC) and price action traders. It identifies Higher Timeframe (HTF) Break of Structure (BOS) levels while filtering them based on specific trading sessions. Additionally, it features a built-in Bias Dashboard that tracks trend alignment across three different timeframes to help you stay on the right side of the market.
Key Features
1. Precision HTF BOS Tracking
Unlike standard indicators that only mark the breakout candle, this script uses high-precision pivot detection to identify the exact origin of a structural high or low.
Tam Yapışık Çizgiler (Precise Lines): The BOS lines are drawn exactly from the pivot point to the breakout point, providing a clean and professional look on your chart.
HTF Integration: You can track structure from a higher timeframe (e.g., 4H) while trading on a lower timeframe (e.g., 15m or 5m).
2. Session Filtering (Time Sensitivity)
Structural breaks are most reliable when they happen during high-volume periods.
The script includes a Session Filter (London & New York).
If enabled, the indicator will only plot BOS levels that occur during your specified trading hours, helping you avoid "fake-outs" or noise during low-liquidity periods (Asian session/After-hours).
3. Multi-Timeframe Bias Dashboard
Stay aware of the "Big Picture" without constantly switching charts. The dashboard monitors three custom timeframes (e.g., Daily, 4H, 1H) and determines if the structure is Bullish or Bearish.
Strong Buy/Sell Signals: When all three timeframes align, the status cell highlights as "BUY" or "SELL."
Wait Status: If timeframes are in conflict, the dashboard suggests "WAIT," encouraging disciplined trading.
How to Use
Define Your Bias: Set your three Bias Timeframes in the settings to match your higher-level strategy.
Set Your BOS TF: Choose the timeframe you want structural breaks to be calculated from (usually one or two steps above your entry chart).
Adjust Sensitivity: Use the "Pivot Sensitivity" setting to filter between minor and major structural points.
Confirm with Session: Enable the session filter to ensure you are only trading breaks that occur during the NY or London sessions.
Settings
Bias Dashboard Settings: Customize the TFs and pivot sensitivity for trend analysis.
BOS & Session Settings: Set your target HTF for drawings and define your trading window (NY Timezone supported).
Visual Settings: Full control over colors (Bullish/Bearish), table positioning, and text sizes.
LinReg Wave | Lyro RSIntroduction
The LinReg Wave is a proprietary reversal-focused indicator tailored for short-term trading strategies. Designed for traders who seek precision during rapid market fluctuations, it incorporates multiple configurable modules that adapt visually and analytically to varying chart conditions. Its structure aligns with modern trading needs, emphasizing clarity in trend reversals and momentum shifts on lower timeframes.
Overview
This indicator presents a wave-based system that builds on regression analysis, with adjustable smoothing, cloud overlays, and valuation zones. It integrates flexible display options, including visual transitions between Heikin Ashi-style representation and conventional views. The architecture accommodates real-time trend strength feedback, directional cues, and context-sensitive take profit signals, all structured within a controlled visual environment.
Purpose
The core purpose of this script is to support intraday and scalping strategies on lower timeframes by highlighting potential reversal points. It is not a trend-following tool but rather one that isolates potential exhaustion areas, overbought/oversold dynamics, and shifting directional strength. Traders can use it to identify momentum reversals, gauge valuation conditions, and assess short-term trend viability across instruments. Its visual modularity makes it adaptable for discretionary strategies and multi-mode analysis.
Originality & Uniqueness
Unlike typical linear regression-based indicators that focus purely on slope or crossover dynamics, this script blends multiple components under a unified visual and functional scheme. It features user-defined visual theming, mode-dependent behavior changes, and layered analytical outputs, such as momentum normalization and volatility-responsive overlays. The ability to fluidly shift between cloud-based interpretation, Heikin Ashi-style momentum analysis, and valuation extremes creates a multidimensional toolkit not commonly found in conventional indicators.
Inputs
Each input is crafted to give the trader granular control over the indicator’s behavior:
Source: Determines the price series to analyze (typically close). It defines the core input for regression and smoothing processes.
Wave Length: Sets the depth of the momentum calculation. Higher values result in smoother waves, suitable for filtering noise.
LR Length: Defines the period of the underlying regression trend evaluation.
Select Moving Average (for wave smoothing): A choice among 16 MA types. Enables custom smoothing profiles for wave behavior.
LR Wave Smoothing Length: Adjusts the secondary smoothing applied to the primary signal, further refining its responsiveness.
Use 0 as Middle Line: If enabled, sets a fixed reference at zero for the standard deviation bands.
Standard Deviation Length: Length over which volatility (standard deviation) is calculated.
Standard Deviation Multiplier: Adjusts the distance of upper and lower bands from the reference.
Select Moving Average: Defines the smoothing basis for the cloud using customizable MA types.
Cloud Length: Length of the moving average used in the cloud calculation.
Upper Band Multiplier / Lower Band Multiplier: Control the vertical width of the cloud envelope.
Color customization options are available via: Custom Color Palette: Choose from predefined themes or define custom up/down colors across different modules (cloud, TP, main).
Use Custom Palette: Allows manual override of default palettes.
Custom Up / Down Colors: Manually input colors for trend representation.
Enable Take Profit Labels: Turns on/off display of potential TP zones.
TP Color settings: Follow the same palette logic, allowing custom or theme-based visual styles.
Display Variation: Choose between Heikin Ashi or Classic display methods for the visual plot.
Select Mode: Switch between Cloud, Heikin Ashi Trend, and Valuation modes depending on analysis preference.
Force Table Overlay: Forces the status table to overlay even when chart conditions change.
LR Wave Modes Table: Lets users choose table position on the chart.
Table Size: Set table size for clarity based on screen space and preference.
Features
This indicator incorporates several feature layers to guide trading decisions:
Regression Wave Plot:
Visualizes wave movement derived from dynamic regression. In Classic mode, it reflects raw slope behavior. In Heikin Ashi mode, it shifts to a candle-style display for smoother trend context.
Mode Selector:
Users can alternate between Cloud, HA Trend, and Valuation modes:
Cloud Mode overlays price with an adaptive volatility-based band system.
HA Trend Mode emphasizes visual HA-style momentum changes for identifying short-term directional strength.
Valuation Mode identifies zones where price is considered relatively high or low based on statistical thresholds.
Standard Deviation Bands:
Dual-layered bands (1SD and 2SD) mark potential exhaustion zones or price extremes. The option to anchor these bands around zero adds flexibility for users who prefer a fixed-reference environment.
Cloud Overlay:
A volatility-augmented cloud rendered on price charts shows current trend width and strength. The cloud auto-adjusts its amplitude based on internal momentum measures, offering dynamic compression or expansion relative to market conditions.
Heikin Ashi Rendering:
An alternative visual interpretation, especially effective in highlighting subtle transitions in momentum. HA candles adapt to slope behavior when Classic mode is disabled, giving an impression of smoothed swings.
Take Profit Signal Layer:
Designed specifically for the Cloud mode, this module highlights conditions where recent momentum surges may be due for reversion or partial exits. It limits signals to a maximum count per trend leg to prevent over-clustering.
Trend State Table:
A modular data table that tracks mode status, trend direction, valuation condition, and trend strength. It updates live and responds to current analysis settings. This feature ensures users can interpret model output at a glance without decoding plot behavior.
Alert System:
Configurable alert conditions are embedded for all major transitions:
Cloud trend changes
Heikin Ashi trend flips
Valuation zone crossings
Take profit triggers
These alerts are meant for traders who rely on real-time signals and wish to be notified when critical zones are entered or left.
Conclusion
The LinReg Wave is a multi-module indicator developed for short-term traders seeking structured reversal insights. With support for multiple modes of operation, adjustable visual presentation, and a responsive signal engine, it provides a controlled environment for observing price extremes and directional transitions. While it requires tuning and contextual judgment, it offers a versatile set of tools to monitor and act on short-term price movements in volatile sessions.
⚠️ 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.
High & Low [ Major + Minor ]📈 Highs & Lows
See market structure clearly. Trade with confidence.
Highs & Lows automatically marks key swing highs and lows to help you identify trend direction, pullbacks, and structure levels without manual chart work.
Designed for traders who want clarity, not clutter.
🔍 What You Get
Major Highs & Lows → Overall trend & key levels
Minor Highs & Lows → Pullbacks & precise entries
Clean, minimal, non-repainting structure
Works on Forex, Crypto, Indices & Stocks
Fully customizable for all timeframes
🧠 Why It Works
Avoids false reversals
Helps trade with the trend
Improves entry, stop-loss & target accuracy
Perfect for SMC & structure-based traders
⚠️ Important
This is not a buy/sell signal indicator.
It’s a structure & confirmation tool — best used with your own strategy or signal system.
Stop guessing structure. Let the chart explain itself.
Crypto ADX Scanner
Purpose
Crypto ADX Scanner helps traders quickly identify which selected assets are currently trending strongly.
It scans multiple symbols at once and ranks them by ADX (Average Directional Index) strength.
What This Indicator Does
Monitors up to 20 user-selected assets
Calculates ADX for each asset on the current chart timeframe
Filters assets where ADX ≥ threshold
Sorts qualifying assets from strongest to weakest trend
Displays results in a table overlay
How to Use
Add the indicator to any chart.
Set your Asset 1–20 symbols.
Adjust ADX Threshold to control how strict “strong trend” is.
Focus on the top assets in the table — these have the strongest trends right now.
Apply your own entry strategy on the shortlisted assets.
Key Settings
ADX Threshold (default 25)
Higher = only strong trends
Lower = earlier trend detection
ADX Length / Smoothing
Controls responsiveness vs smoothness of trend strength
How to Interpret ADX
ADX measures trend strength only, not direction
Higher ADX = stronger trend (bullish or bearish)
Direction should be confirmed with price structure or other indicators
Best Use Case
Market scanning
Watchlist filtering
Identifying trend-friendly assets
Avoiding choppy or low-momentum markets
Notes
Works on any timeframe
Table updates automatically on the latest bar
Designed as a trend-strength filter, not a buy/sell signal
Cyberpunk GMMA Reactor ProCyberpunk GMMA Reactor Pro
System Concept
Dive into the data stream. Cyberpunk GMMA Reactor Pro is a high-performance visualizer based on the Guppy Multiple Moving Average (GMMA). It transforms market trends into glowing "Digital Ribbons," allowing you to perceive market energy through neon-lit intensities.
This script isn't just about aesthetics; it’s a professional-grade tool designed to identify trend strength, exhaustion, and reversals using 12 layers of Exponential Moving Averages (EMA).
Key Features
・Dual-Stream ribbons:
-Neon Magenta (Short-Term): Represents the "Drones" (traders' sentiment).
-Neon Cyan (Long-Term): Represents the "Mainframe" (investors' foundation).
・Reactor Glow (Dynamic Background): The background pulsates based on the "Spread" between EMA3 and EMA30 relative to volatility (ATR). When the trend accelerates, the reactor glows brighter.
・System Signals: Real-time Golden Cross (System Boot) and Death Cross (System Critical) alerts.
・High-Tech UI: Bilingual settings (English/Japanese) for a seamless global experience.
How to Use
1. Expansion (The Stream): When the ribbons spread apart and the background glows intensely, a strong trend is in progress.
2. Squeeze (The Compression): When all lines converge, the system is "recharging" for the next big breakout.
3. Cross (The Breach): Use the System Boot/Critical signals to identify potential entry and exit points.
システムコンセプト
データの潮流へ。Cyberpunk GMMA Reactor Pro は、グッピー複合移動平均線（GMMA）をベースにした高性能ビジュアライザーです。市場のトレンドを輝く「デジタル・リボン」へと変換し、ネオンの輝きによって相場のエネルギーを直感的に把握できます。
単なる見た目重視のツールではありません。12本の指数平滑移動平均線（EMA）を駆使し、トレンドの強さ、収束、反転を見極めるプロフェッショナル仕様のインジケーターです。
主な機能
・デュアル・ストリーム・リボン：
-ネオンマゼンタ（短期群）: 「ドローン（短期トレーダー）」の心理を反映。
-ネオンシアン（長期群）: 「メインフレーム（長期投資家）」の基盤を反映。
・リアクター・グロウ（背景発光）: EMA3とEMA30の乖離率をATR（ボラティリティ）で計算し、背景が動的に発光。トレンドが加速するほど光が強まります。
・システム・シグナル: ゴールデンクロス（System Boot）とデッドクロス（System Critical）をリアルタイムで表示。
・ハイテクUI: 英語と日本語を併記したバイリンガル設定画面。
トレードへの活用法
1. エクスパンション（拡散）: リボンが広がり、背景が強く発光している時は、強力なトレンドが継続中です。
2. スクイーズ（収束）: 全てのラインが一本に収束し始めたら、次なるブレイクアウトに向けたエネルギー充填のサインです。
3. クロス（突破）: System Boot / Criticalシグナルを参考に、エントリーや利確のタイミングを計ります。
Time Pattern Analyzer - Multi Mode [fmb]This is a lightweight session-behaviour overlay that helps you spot whether a market tends to move up or down at specific days or times.
- Two analysis modes
Weekday: Breaks performance down by Mon–Fri
Hour of Day: Breaks performance down by 0–23 and can also track a single exact time (hour + minute), like 09:30
- Visual timing markers (optional)
Draws vertical lines on the chart for the selected day(s) or time(s)
Line colour reflects the bar direction: green (up), red (down), grey (neutral)
Fully adjustable width and style (solid, dotted, dashed)
- Flexible “green vs red” definition
Body mode: Close > Open (candle body direction)
Previous close mode: Close > Close (momentum vs prior bar)
- Stats table (optional)
For each day or hour, the table shows:
Count (sample size)
% Green
% Red
Average % move (average return for that bucket)
Table can be positioned anywhere on the chart (top/bottom, left/centre/right)
Use cases
- Quickly identify recurring tendencies like “Mondays are strongest” or “first hour is choppy,” and validate timing ideas with clear counts and averages instead of guesswork.
Note: This tool reports historical tendencies, not predictions. Always account for regime changes, news risk, and liquidity.
Orca Trade Pendulum Pro Orca Trade Pendulum Pro — Momentum Flip & Market Context
Orca Trade Pendulum Pro is a momentum-based oscillator designed to identify market flips near exhaustion zones and provide a clear PASS / NO PASS decision framework.
The indicator focuses on clarity and discipline, helping traders understand when a flip matters and when it should be ignored. It is built for traders who value context over noise.
Core Logic:
Momentum Flip Detection
Flips are detected after Overbought / Oversold conditions
Based on confirmed candle closes (no repaint)
Filter Pass System:
Every flip is evaluated before being considered valid
Popup clearly shows:
Filter Pass: YES / NO
Direction: LONG / SHORT
A NO PASS flip is informational only and should not be treated as a trade signal
Market Flow Context (Visual)
Built-in lower and higher timeframe flow visualization
Flow elements are contextual only and do not alter flip detection
How to Use:
Treat flips as momentum shift alerts, not automatic entries
Focus on flips with Filter Pass: YES
Use higher-timeframe structure and your own risk management
Best used as a confirmation and timing tool
Important Notes:
This script does not repaint
It does not execute trades
It is not a standalone strategy
Designed for discretionary and educational trading
Access
This script is shared through the Orca Trade community.
Access instructions are published in the Orca Trade Telegram channel.
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.
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.
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
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.
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.
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.
