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.
Trend
Impulse Trend Levels [BOSWaves]Impulse Trend Levels - Momentum-Adaptive Trend Detection with Impulse-Driven Confidence Bands
Overview
Impulse Trend Levels is a momentum-aware trend identification system that tracks directional price movement through adaptive confidence bands, where band width dynamically adjusts based on impulse strength and freshness to reflect real-time conviction in the current trend direction.
Instead of relying on fixed moving average crossovers or static band multipliers, trend state, band positioning, and zone thickness are determined through impulse detection patterns, exponential decay modeling, and volatility-normalized momentum measurement.
This creates dynamic trend boundaries that reflect actual momentum intensity rather than arbitrary technical levels - contracting during fresh impulse conditions when trend conviction is high, expanding during impulse decay periods when directional confidence weakens, and incorporating momentum freshness calculations to reveal whether trends are accelerating or deteriorating.
Price is therefore evaluated relative to bands that adapt to momentum state rather than conventional static thresholds.
Conceptual Framework
Impulse Trend Levels is founded on the principle that meaningful trend signals emerge when price momentum intensity reaches significant thresholds relative to recent volatility rather than when price simply crosses moving averages.
Traditional trend-following methods identify directional changes through price-indicator crossovers, which often ignore the underlying momentum dynamics and conviction levels that sustain those moves. This framework replaces static-threshold logic with impulse-driven band construction informed by actual momentum strength and decay characteristics.
Three core principles guide the design:
Trend direction should be determined by volatility-normalized momentum breaches, not simple price crossovers alone.
Band width must adapt to impulse freshness, reflecting real-time confidence in the current trend.
Momentum decay modeling reveals whether trends are maintaining strength or losing conviction.
This shifts trend analysis from static indicator levels into adaptive, momentum-anchored confidence boundaries.
Theoretical Foundation
The indicator combines exponential moving average smoothing, mean absolute deviation measurement, impulse detection methodology, and exponential decay tracking.
An EMA-based trend baseline provides directional reference, while Mean Absolute Deviation (MAD) offers volatility-normalized scaling for momentum measurement. Impulse detection identifies significant price movements relative to recent volatility, triggering fresh momentum readings that decay exponentially over time. Band multipliers interpolate between tight and wide settings based on calculated impulse freshness.
Four internal systems operate in tandem:
Trend Baseline Engine : Computes EMA-smoothed price levels for directional reference and band anchoring.
Volatility Measurement System : Calculates MAD to provide adaptive scaling that normalizes momentum across varying market conditions.
Impulse Detection Logic : Identifies volatility-normalized price movements exceeding threshold levels, capturing momentum intensity and direction.
Decay-Based Confidence Modeling : Applies exponential decay to impulse readings, converting raw momentum into time-weighted freshness metrics that drive band adaptation.
This design allows trend confidence to reflect actual momentum behavior rather than reacting mechanically to price formations.
How It Works
Impulse Trend Levels evaluates price through a sequence of momentum-aware processes:
Baseline Calculation : EMA smoothing of open and close creates a directional trend reference that filters short-term noise.
Volatility Normalization : MAD calculation over a specified lookback provides dynamic scaling for momentum measurement.
Raw Impulse Detection : Price change over impulse lookback divided by MAD creates volatility-normalized momentum readings.
Threshold-Based Activation : When normalized momentum exceeds threshold (1.0), impulse registers with absolute magnitude and directional sign.
Exponential Decay Application : Between impulse events, stored impulse value decays exponentially via configurable decay rate.
Freshness Conversion : Decaying impulse transforms into freshness metric (0-100%) representing current momentum conviction.
Adaptive Band Construction : Band multiplier interpolates between minimum (fresh) and maximum (stale) settings based on freshness, then scales MAD to determine band width.
Trend State Logic : Price crossing above upper band triggers bullish state; crossing below lower band triggers bearish state; state persists until opposite breach.
Signal Generation : Trend state switches from bearish to bullish produce buy signals; bullish to bearish switches produce sell signals.
Retest Identification : Price touching inner band edge after signal buffer period marks retests, with cooldown periods preventing excessive plotting.
Together, these elements form a continuously updating trend framework anchored in momentum reality.
Interpretation
Impulse Trend Levels should be interpreted as momentum-anchored trend confidence boundaries:
Bullish Trend State (Cyan) : Established when price closes above adaptive upper band, indicating upward momentum breach with associated confidence level.
Bearish Trend State (Magenta) : Established when price closes below adaptive lower band, signaling downward momentum breach with directional conviction.
Trend Cloud : Visual gradient zone displays between outer and inner band edges, with opacity reflecting current trend state and confidence.
Band Width Dynamics : Tighter bands indicate fresh impulse (high confidence), wider bands indicate impulse decay (reduced confidence).
▲ Buy Signals : Green upward triangles mark bullish trend state initiations at crossovers above upper band.
▼ Sell Signals : Red downward triangles mark bearish trend state initiations at crossovers below lower band.
✦ Retest Markers : Small diamonds identify price retouching inner band edge after sufficient buffer period from initial signal.
Retest Extension Lines : Horizontal projections from retest points extend forward, marking potential support/resistance levels.
Colored Candles : Optional bar coloring reflects current trend state for immediate visual reference. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly.
Impulse freshness, band width dynamics, and momentum normalization outweigh isolated price movements.
Signal Logic & Visual Cues
Impulse Trend Levels presents two primary interaction signals:
Buy Signal (▲) : Green label appears when trend state switches from bearish to bullish via upper band crossover, suggesting momentum shift to upside.
Sell Signal (▼) : Red label displays when trend state switches from bullish to bearish via lower band crossunder, indicating momentum shift to downside.
Retest detection provides secondary confirmation when price revisits inner band boundaries after signal buffer cooldown expires.
Alert generation covers trend state switches (long/short), retest occurrences, and impulse freshness decay below 50% threshold for systematic monitoring.
Strategy Integration
Impulse Trend Levels fits within momentum-informed and adaptive trend-following approaches:
Momentum-Confirmed Entries : Use band crossovers as high-probability trend initiation points where volatility-normalized momentum exceeded threshold.
Freshness-Based Position Sizing : Scale exposure based on impulse freshness - larger positions during fresh impulse periods, reduced sizing as impulse decays.
Band-Width Risk Management : Expect wider price ranges when bands expand during decay, tighter ranges when bands contract during fresh impulse.
Retest-Based Re-entry : Use inner band retests as lower-risk entry opportunities within established trends after initial signal cooldown.
Cloud-Aligned Directional Bias : Favor trades aligning with current trend state rather than counter-trend positions.
Multi-Timeframe Momentum Confirmation : Apply higher-timeframe impulse trend state to filter lower-timeframe entry precision.
Technical Implementation Details
Core Engine : EMA-based baseline with MAD volatility measurement
Impulse Model : Volatility-normalized momentum detection with directional sign capture
Decay System : Exponential decay application (0.8-0.99 range) with freshness conversion
Band Construction : Linear interpolation between min/max multipliers scaled by MAD
Visualization : Gradient-filled cloud zones with bar coloring and signal labels
Signal Logic : State-switch detection with retest buffer and cooldown mechanisms
Performance Profile : Optimized for real-time execution across all timeframes
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-trend detection for scalping with responsive impulse settings
15 - 60 min : Intraday momentum tracking with balanced decay characteristics
4H - Daily : Swing-level trend identification with sustained impulse persistence
Suggested Baseline Configuration:
Trend Length : 19
Impulse Lookback : 5
Decay Rate : 0.99
MAD Length : 20
Band Min (Fresh) : 1.5
Band Max (Stale) : 1.9
Signal Buffer Period : 10
Show Trend Cloud : Enabled
Color Bars : Enabled (requires disabling original chart candles in chart settings)
Show Buy/Sell Signals : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Excessive signal noise : Increase Trend Length to demand smoother baseline crossovers or increase Impulse Lookback for less reactive momentum detection.
Missed momentum shifts : Decrease Impulse Lookback to capture shorter-term momentum changes or reduce Decay Rate to allow faster impulse fade.
Bands too tight/wide : Adjust Band Min and Band Max multipliers to modify confidence zone thickness across freshness spectrum.
Impulse decays too quickly : Increase Decay Rate toward 0.99 to sustain impulse readings longer between fresh events.
Impulse decays too slowly : Decrease Decay Rate toward 0.8 for faster momentum fade and more frequent band expansion.
Unstable volatility scaling : Increase MAD Length to smooth volatility measurement and reduce sensitivity to short-term spikes.
Too many retest markers : Increase retest cooldown period (55 bars hardcoded) or increase Signal Buffer Period to space out signals.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with clear momentum phases and directional persistence
Instruments with consistent volatility characteristics where MAD scaling normalizes effectively
Momentum continuation strategies entering on fresh impulse signals
Trend-following approaches benefiting from adaptive confidence measurement
Reduced Effectiveness:
Choppy, range-bound markets with frequent whipsaw crossovers
Extremely low volatility environments where impulse threshold becomes difficult to breach
News-driven or gapped markets with discontinuous momentum patterns
Mean-reversion dominant conditions where momentum breaches quickly reverse
Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or traditional trend indicators
Freshness Respect : Trust signals occurring during high impulse freshness periods with contracted bands
Decay Awareness : Reduce position sizing or tighten stops as impulse decays and bands widen
Retest Utilization : Treat inner band retests as continuation confirmation rather than reversal signals
State Discipline : Maintain directional bias aligned with current trend state until opposite band breach occurs
Disclaimer
Impulse Trend Levels is a professional-grade momentum and trend analysis tool. It uses volatility-normalized impulse detection with exponential decay modeling but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Crypto Engine ProCrypto Engine Pro is a proprietary trend-structure and price-behavior indicator designed specifically for BTC and ETH markets.
It combines Price structure, dynamic trend midlines, and adaptive trend lines to help traders visually identify trend direction, momentum shifts, and structure breaks with clarity.
🔹 Key Features
📈 Dynamic Trend Detection
Identifies bullish and bearish phases using price structure and internal equilibrium levels.
📐 Trend Midline (Running)
Continuously updates based on the active trend, helping visualize balance and continuation zones.
🔺 Multi-Trend Line System
Primary structure line from previous trend extreme
Designed to reflect real market structure, not lagging signals
🎨 Trend-Based Visuals
Background color reflects active trend
Bar color changes on structure breaks relative to the main trend line
🔔 Trend Flip Alerts
Alerts on bullish and bearish structure flips
Helps traders stay aligned with dominant momentum
⚠️ Important Note
Crypto Engine Pro currently works only on BTC and ETH charts.
If applied to any other symbol, the indicator will display a restriction message and disable visuals.
🧠 Who Is This For?
Crypto traders focusing on BTC & ETH
Traders who prefer structure-based trend analysis
Those looking for visual clarity over cluttered indicators
📌 Usage Disclaimer
This indicator is a visual decision-support tool and should not be used as a standalone trading system.
Always combine with proper risk management and higher-timeframe context.
Version: Crypto Engine Pro
Range Finder Speed CodingThis indicator is based on a Range Filter concept and helps traders identify market direction and strength.
It provides clear information about candle structure, including candle count and range behavior, which helps in understanding price movement more accurately.
The indicator is useful for spotting trend continuation and potential entry zones in ranging and trending markets.
Best suited for intraday and swing trading.
Works well on Forex, Crypto, and Stock markets.
Disclaimer:
This indicator is for educational purposes only. Trading involves risk. Please use proper risk management.
MA12 x MA80 Bands Signals - JAMMALMA12 × MA80 Bands Signal – Trend Assistant | Jammal
This script provides a clean and simple entry-timing assistant based on the interaction between MA12 and dynamic bands around MA80.
It helps visualize potential trend-based entry points with clear and non-intrusive signals.
The MA80 bands are fully adjustable, allowing you to customize the sensitivity based on the market and timeframe.
Features:
Trend-based entry assistance
MA12 cross with MA80 dynamic bands
Adjustable MA80 bands (user-controlled offset)
Clear triangles, labels, and short horizontal levels
Works on all markets and all timeframes
Helps visualize trend interaction and entry timing
Designed for traders who want a simple, clean, and supportive trading tool.
Supporting tool only – not a complete trading system.
Enjoy and happy trading!
Jammal
My Candle (HTF Overlay)
This indicator overlays Higher Timeframe (HTF) candles, such as Daily or Weekly, onto your current chart background. It allows you to grasp the larger trend while trading on lower timeframes.
- Accurate Historical Data: By utilizing "lookahead", this script ensures that the High and Low of the HTF candles align perfectly with the price action on historical charts.
- Gap Filling: Includes an option to fill data gaps for a smoother visual experience.
- Customization: You can easily change the timeframe and adjust the transparency of colors to suit your chart theme.
1. Add to the chart.
2. Open settings to select your target timeframe (e.g., "1 Day" or "1 Week").
3. Adjust the "Gap" and "Transparency" settings as needed.
VPG Multi TF Framework Analysis📊 VPG – Multi TF Framework Analysis
VPG – Multi TF Framework Analysis is a multi-timeframe market status dashboard designed to help traders quickly understand price direction, swing conditions, and candle timing across several timeframes in one compact table.
This indicator works on any symbol and is especially useful for scalpers, day traders, and swing traders who need a fast overview of market structure.
🚀 Key Features
🔹 Multi-Timeframe Price Status (1m, 5m, 15m, 30m, 1H, 4H, D, W)
Each timeframe is classified in real-time as:
RALLY → current price above previous candle close
BASE → current price equal to previous close (with tolerance option)
DROP → current price below previous candle close
Color-coded for quick visual recognition.
🔹 Swing Detection (Peak / Valley / Up / Down)
A dedicated Swing row shows market structure per timeframe using:
PEAK → local high (based on last 2 closed candles + current price)
VALLEY → local low
UP → trending upward when no swing detected
DOWN → trending downward when no swing detected
This avoids empty “-” states and always provides meaningful structure information.
Swing row can be turned ON/OFF from settings.
🔹 Previous Close Row (Optional)
Displays the previous candle close price for each timeframe.
Can be enabled or disabled from settings.
🔹 Countdown Timer to Candle Close
Shows remaining time until each timeframe candle closes:
Normal color when time is sufficient
Orange background when ≤ 10 minutes remaining
Red background when ≤ 5 minutes remaining
Helps traders prepare for candle close decisions.
Timer row can be enabled or disabled from settings.
🔹 Trend Strength Badge
A floating badge summarizes overall trend strength based on multi-timeframe alignment:
WEAK / MODERATE / STRONG / VERY STRONG
RALLY or DROP
MIXED state when conditions are unclear
Includes optional blinking bullet for non-mixed trends.
Position of the badge can be configured (top/center/bottom & left/center/right).
🔹 Alert System
Two types of alerts:
Structure alerts
Trigger when a timeframe changes into RALLY or DROP (or any state change)
Timer alerts
Trigger when remaining time drops below a chosen minute threshold
Includes a Test Alert button to verify alert functionality.
🔹 Full UI Customization
Table position: top / center / bottom & left / center / right
Font size: tiny / small / normal / large
Background opacity (0–100)
Toggle rows individually (PrevClose, Swing, Timer)
Trend badge position & blink speed
🎯 Who This Indicator Is For
Scalpers monitoring lower timeframes (1m–15m)
Day traders aligning 15m–4H structure
Swing traders watching Daily & Weekly bias
Anyone who wants a clean multi-TF dashboard without cluttering the chart
⚠ Notes
Works on any market (Forex, Gold, Crypto, Indices, Stocks).
Daily timer uses New York close (17:00 NY time).
Uses request.security() for accurate multi-timeframe data.
📌 Summary
This dashboard combines:
✅ Price direction
✅ Market structure (swing)
✅ Time-to-close
✅ Trend strength
✅ Alerts
✅ Full visual customization
into one lightweight and practical trading tool.
Meer SMC Pro [Smart Structure, Probability Zones & Mitigation]Meer SMC Pro is an all-in-one institutional trading suite designed to filter out noise and visualize high-probability Smart Money Concepts (SMC) setups. Unlike standard indicators that clutter the chart with infinite lines, this script uses a Predictive Scoring Engine to rate zones, validate market structure, and automatically identify "King of the Hill" volume levels.
It is specifically optimized for Gold (XAUUSD) and volatile pairs but works on all assets.
🛠️ Key Features & Logic Breakdown
1. 💎 Smart Zone Consolidation (Predictive "Jackpot" Logic)
Instead of showing individual, weak Order Blocks, the script uses an algorithm to merge overlapping zones within a specific ATR range. It then scores these zones based on Confluence:
⚖️ Normal: A standard valid Order Block.
🔥 STRONG: Valid Zone + High Volume (1.5x Average).
💎 JACKPOT: The highest probability zone. It combines High Volume + FVG + Structural Liquidity Sweep.
Logic: Helps traders identify which level to place a limit order on versus which level to wait for confirmation.
2. 📉 Advanced Market Structure (Real vs. Fake BOS)
The script maps ZigZag Highs/Lows (HH, HL, LH, LL) and identifies Break of Structure (BOS) with a built-in Validity Filter:
✅ Real BOS (Dashed Line): Validated by Displacement (Body close), Momentum, and Volume.
⚠️ Fake BOS (Dotted Line): Weak breaks that lack volume or displacement, often signaling a trap.
Visuals: Labels are placed centrally on the structure lines for clarity.
3. 🛡️ Mitigation & Breaker Blocks (Auto 50% EQ)
When an Order Block fails (gets violated), it flips its role:
Breaker Block: Formed when price sweeps liquidity before breaking the zone.
Mitigation Block: Formed on a failure swing (no sweep) before breaking.
✨ Auto-Equilibrium: The script automatically draws a White Dotted Line at the 50% Center of these blocks.
Logic: Institutions often mitigate their positions exactly at the 50% equilibrium of a failed block.
4. ⚡ Extreme Order Block ("King of the Hill")
To avoid analysis paralysis, this feature tracks only the Single Highest Volume Candle in the current trend leg.
Logic: It constantly compares volume. If a new candle beats the previous record, the "Extreme OB" box updates. This highlights the area of maximum institutional interest.
5. 🧹 Touch & Go System (Chart Cleanup)
Keeps the chart professional and clean.
Logic: Zones and lines do not extend infinitely. They extend for a fixed number of bars (e.g., 40). If price touches/mitigates a zone, or if the zone becomes invalid, the script automatically deletes the box and lines to prevent clutter.
6. 🎯 Liquidity Targets
BSL (Buy-Side Liquidity): Unmitigated Swing Highs.
SSL (Sell-Side Liquidity): Unmitigated Swing Lows.
These act as magnets for price before a reversal.
⚙️ How to Trade with Meer SMC Pro
Trend Identification: Follow the HH/HL (Bullish) or LH/LL (Bearish) labels. Wait for a Real BOS (Dashed Line) to confirm direction.
Entry Strategy:
Aggressive: Place limit orders at 💎 JACKPOT zones.
Conservative: Wait for price to tap a ⚖️ Normal zone and print a lower timeframe Choch.
Recovery: If a zone fails, look for a retest of the Mitigation Block's 50% Dotted Line.
Stop Loss: Place SL below the "Extreme OB" or the consolidated zone low.
🔧 Settings Guide
Smart Zone Consolidation: Keep ON for cleaner charts.
ATR Multiplier:
Use 0.5 for Volatile assets (Gold, Crypto, Indices).
Use 1.0 for Stable Forex pairs (EURUSD).
Structure Lookback: Default is 10. Increase to 20 for higher timeframe Swing Trading.
Disclaimer: This tool is for educational analysis of market structure. Past performance does not guarantee future results. Always manage your risk.
Positional Chakra Strategy by PoojaPositional Chakra Strategy by Pooja
Positional Chakra Strategy by Pooja is a rule-based positional trading strategy designed specifically for continuous markets that operate 24 hours, such as Crypto, Forex, and other global instruments.
The strategy focuses on trend alignment, structure validation, and risk-managed positional holding, rather than short-term intraday fluctuations.
This script is intended strictly as a technical analysis and decision-support tool, not as financial or investment advice.
🎯 Purpose of the Strategy
The primary objective of this strategy is to:
Identify sustained trend-based positional opportunities
Reduce overtrading in 24×7 markets
Filter noise and low-quality signals common in continuous sessions
Provide structured entry, stop-loss, and exit logic
Support disciplined positional trading instead of emotional decision-making
⚙️ Core Features Explained
1️⃣ In-built Multiple Strategy Entry Signals
The strategy combines multiple independent entry logics, allowing traders to see signals only when conditions align.
These include combinations of:
EMA, VWAP, Supertrend, RSI, Structure (BOS / CHoCH), etc
It combines oscillators, non-oscillators, and SMC concepts to create a more structured and logical trading framework.
Each signal is clearly labeled on the chart for better visual understanding.
2️⃣ Swing-Based Stop Loss Logic
Stop loss is automatically calculated using recent swing high / swing low
This helps align risk levels with market structure instead of fixed values
Avoids unrealistic or random stop placements
You can Modify your Swing High/Low pivots according your Choice
3️⃣ Risk-Reward Based Target Projection
Targets are calculated using a user-defined Risk : Reward ratio
Ensures every trade follows a pre-defined risk framework
Encourages disciplined trading instead of emotional exits
4️⃣ Clear SL Hit & Target Hit Indications
When Stop Loss or Target is reached, the strategy plots clear visual labels
This improves post-trade review and historical analysis
Helps users understand how and why a trade ended
5️⃣ Trend Change Exit (Dynamic Stop Management)
If the market structure reverses, the strategy can exit trades early
This acts as a dynamic trailing stop mechanism
Helps protect profits or limit losses during sudden reversals
6️⃣ Trend Reverse Entry (Optional Flip Logic)
On confirmed trend reversal, the strategy can optionally flip direction
Entry happens only after proper confirmation
Designed for experienced intraday traders who understand reversals
7️⃣ Dynamic Stop Loss Trailing Through Trend Reversal
This strategy includes a dynamic stop-loss trailing mechanism based on trend reversal detection rather than fixed price movement.
When the trade is active, the system continuously monitors trend direction and structure
If a confirmed trend reversal is detected against the open position, the strategy exits the trade automatically
This exit acts as a dynamic trailing stop, adapting to changing market conditions instead of relying on static stop-loss levels
8️⃣ Optional BOS & CHoCH Structure Plotting
Break of Structure (BOS) and Change of Character (CHoCH) can be enabled
Helps traders visually track market structure shifts
Completely optional to keep charts clean if not required
9️⃣ In-Build Indicator Framework
The strategy internally uses:
EMA
VWAP
Supertrend
RSI
SMC (Smart Money Concept)
No external indicators are required, keeping the system self-contained and lightweight.
🔟 Fake Breakout Protection Filters
To reduce low-quality signals, the strategy includes:
RSI strength filter
ADX volatility confirmation
RSI-MA distance & slope filter
These filters help avoid entries during weak or choppy market conditions.
Why This Strategy Is Unique
Built on market structure and trend logic, not single indicators
Uses multiple confirmation layers to reduce low-quality signals
Includes dynamic risk management instead of fixed exits
Provides clear visual clarity for entry, stop-loss, and target
Adapts to changing market conditions during intraday trading
Focuses on discipline and process, not prediction or guarantees
This is not just a combination of indicators; it integrates five distinct strategy logics designed to reduce psychological decision-making while maintaining structured risk management.
🔔 Alert & Webhook Ready
The strategy supports TradingView alerts
Alerts are designed for signal notification only
Webhook compatible for users who integrate alerts with external tools
📢 Optional Telegram alerts can be used for personal signal notifications. This feature is informational and does not imply trade execution or profit guarantees.
👤 Suitable For
This strategy is suitable for:
Positional traders
Crypto and Forex traders
Traders dealing with 24×7 markets
Traders who prefer rule-based systems
Users who want to avoid constant screen monitoring
It is not intended for scalping or high-frequency intraday trading.
It is not recommended for users expecting guaranteed results or fully automated decision-making.
Why Invite-Only
Controlled access to ensure responsible use
Helps maintain consistency as the system evolves
Prevents misuse or misinterpretation of strategy logic
Allows better management of updates and changes
Keeps the tool aligned with its analytical purpose
⚠️ Disclaimer (Important)
This script is for educational and analytical purposes only
It does not provide financial, investment, or trading advice
Past performance does not guarantee future results
Trading involves risk, and users are responsible for their own decisions
[SUMIT] Trade line strategy 05:00pm to 11:00pmSUMIT INGOLE
This indicator is created by Sumit Ingole, a trader from Maharashtra, India, based on real-time market experience.
It helps identify market direction and clean entry zones with a simple structure.
Best used with proper risk management.
Mean Deviation Loop | Lyro RSThe MAD Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with robust statistical dispersion measures. This indicator employs a multi-model approach, integrating Bollinger-style MAD bands, for-loop momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions.
Indicator Modes
Bollinger-Style MAD Bands
This mode calculates dynamic volatility bands around price using Mean Absolute Deviation (MAD) instead of standard deviation or RMSE. MAD offers a smoother and more outlier-resistant measure of price dispersion.
Upper Band = Dynamic Moving Average + (MAD × Multiplier)
Lower Band = Dynamic Moving Average − (MAD × Multiplier)
These bands expand and contract with market volatility, helping to identify potential breakout and breakdown zones with reduced sensitivity to extreme price spikes.
For-Loop Momentum Scoring
Momentum is evaluated by analyzing recent price behavior through a loop-based comparison system applied to a MAD-weighted price series.
A rising momentum score indicates strengthening bullish pressure
A declining momentum score signals increasing bearish dominance
This method emphasizes directional consistency rather than short-term noise.
Hybrid Combined Signal
This mode combines the outputs of the MAD Bands and For-Loop Momentum Scoring into a unified directional signal.
+1 indicates bullish conditions (green)
−1 indicates bearish conditions (red)
An average of these scores is calculated to generate a combined signal, providing a clearer and more reliable indication of overall market trend.
Practical Application
Signal Interpretation
A buy signal is generated when both the MAD Bands and For-Loop Momentum align bullishly.
A sell signal is generated when both components align bearishly.
Trend Confirmation
The Hybrid Combined Signal serves as a confirmation layer, helping traders validate trend direction and reduce the likelihood of false signals during choppy or low-volatility conditions.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
AI-Enhanced MSS HunterAI-Enhanced MSS Hunter
This indicator is a hybrid trading system that merges Mechanical Price Action (ICT Concepts) with Statistical Machine Learning (K-Nearest Neighbors). It is designed to assist traders in identifying high-probability reversals after liquidity sweeps, as well as trend-continuation entries during specific "Kill Zone" sessions.
How It Works
The script operates on a strict 3-step validation process to filter out false signals during choppy market conditions.
1. Liquidity Sweep (The Trigger) The system automatically plots the Previous Day High (PDH) and Previous Day Low (PDL).
The logic begins only when price "sweeps" (breaks) one of these key levels.
State Persistence: Once a level is swept, the system remembers this event for the remainder of the session (or until a signal fires), waiting for the market to reverse.
2. Market Structure Shift (The Setup) After a sweep, the indicator hunts for a Market Structure Shift (MSS).
It tracks dynamic Swing Highs and Swing Lows.
A signal is prepared only if price breaks a recent structural swing point in the opposite direction of the sweep (e.g., Sweep PDL -> Break Swing High).
3. AI / Machine Learning Filter (The Confirmation) To reduce false positives, the signal must be confirmed by a K-Nearest Neighbors (KNN) algorithm.
The Logic: The script analyzes the current values of RSI (14), CCI (14), and ROC (10).
The Comparison: It looks back at the last ~1,000 bars of history to find similar market conditions (neighbors).
The Prediction: If the majority of those historical "neighbors" resulted in a favorable move, the AI confirms the trade. If historical data suggests chop or reversal, the signal is blocked.
Key Features
🎯 Primary Reversal Signals (Circles)
Green Circle: Price swept PDL + Bullish MSS + AI Confirmation.
Red Circle: Price swept PDH + Bearish MSS + AI Confirmation.
♻️ Golden Zone Re-Entries (Triangles) Once a Primary Signal is active, the script tracks the new trend leg.
It automatically draws a dynamic Golden Zone (0.5 – 0.618 Fibonacci Retracement).
If price pulls back into this zone and forms a new MSS, a Re-Entry Triangle is plotted.
Invalidation: If the pullback breaks the original setup's low/high, the zone is removed to prevent bad trades.
⏰ Kill Zone Time Filters Signals are filtered by time to ensure you are trading during high-volume sessions.
Default AM Session: 08:30 – 10:00 (New York Time)
Default PM Session: 14:00 – 15:00 (New York Time)
Fully customizable in settings.
Settings Guide
Key Levels: Toggle PDH/PDL lines and customize colors.
Kill Zones: Enable/Disable time filtering and highlight background colors.
AI Settings:
K-Nearest Neighbors (k): Number of historical neighbors to compare (Default: 5).
Training Window: How far back the AI looks for patterns (Default: 1000 bars).
Visuals: Turn on/off the Golden Zone fib clouds or text labels.
Disclaimer
This tool is for educational purposes only. The "AI" component is a statistical classification algorithm based on historical momentum and does not guarantee future results. Always manage risk and use this indicator as part of a comprehensive trading plan.
Legacy Oscillator | Lyro RSOverview
The ⚜️Legacy Oscillator is a volatility momentum indicator designed to evaluate price behavior relative to its dynamically smoothed mean. By measuring standardized price displacement and filtering it through adaptive moving averages, the oscillator provides insight into trend direction, momentum strength, and cyclical shifts in market structure. This approach allows traders to assess when price is expanding, contracting, or transitioning between regime.
Originality
The core structure of the Legacy Oscillator is built around a volatility WaveFlow calculation that measures standardized price displacement from a dynamically smoothed mean. Rather than relying on raw price momentum or fixed oscillators, the indicator adapts to changing market conditions by combining adaptive moving averages with statistical normalization. This foundation enables the oscillator to respond consistently across different volatility regimes while preserving sensitivity to momentum shifts and structural transitions.
From this base, the script integrates multiple analytical layers within a single framework. These include a WaveFlow oscillator with signal-line interaction, a momentum histogram that captures acceleration and deceleration, an optional volume-weighted Alternative WaveFlow derived from the Money Flow Index, and automated detection of both regular and hidden divergences. Visual context is enhanced through configurable background regimes, dynamic color palettes, zone highlighting, reversal markers, and extensive alert logic. Rather than separating these techniques into isolated tools, the Legacy Oscillator unifies trend, momentum, divergence, and volume-influenced analysis into a cohesive and flexible system suitable for a wide range of trading styles.
Key Features
The indicator includes a wide array of inputs for customization. Users can select the source price for calculations and choose a preferred signal mode from Trend, Slope Trend, Reversion, Extremes and more!
In WaveFlow mode, traders configure the channel length used for volatility normalization, the smoothing length of the oscillator, and the signal length that defines crossover sensitivity. This mode evaluates momentum and trend direction by measuring standardized price displacement relative to a dynamically smoothed mean.
In Reversal & Extremes mode, users define overbought and oversold thresholds that classify statistically stretched conditions. These thresholds are used to highlight potential reversal zones through background states, markers, and alerts when momentum reaches extreme levels.
In Slope & Trend mode, the oscillator’s position relative to its signal line or zero line is used to determine directional bias. This mode emphasizes trend continuation and momentum alignment rather than mean-reversion behavior.
In Alternative WaveFlow mode, traders enable a volume-weighted momentum model derived from a transformed Money Flow Index. This mode incorporates volume dynamics into the oscillator framework, providing an additional perspective for confirming or challenging price-based momentum signals.
In addition, the script provides multiple visualization regimes, including background coloring and zone highlighting, alongside customizable color palettes. Predefined themes or user-defined colors ensure clarity and consistency across different chart environments.
Summary
In summary, the Legacy Oscillator combines volatility momentum analysis with multiple integrated modes, including WaveFlow trend evaluation, extreme-level reversal detection, volume-weighted Alternative WaveFlow, and automated divergence recognition. Its design emphasizes adaptability, visual clarity, and structured signal generation through dynamic coloring, zone highlighting, and alert logic. This makes it a practical framework for traders seeking to assess momentum, trend structure, and potential reversals from multiple perspectives within a single unified tool.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Leswin Ribbon + Levels + Hybrid (Stocks/Crypto) v1Leswin Ribbon Signals
A trend-based momentum indicator built for day traders and scalpers. Uses an EMA ribbon, higher-timeframe trend filtering, and volatility conditions to highlight high-probability BUY and SELL zones while avoiding choppy markets.
Optimized for 5m & 15m entries, especially for SPY, QQQ, DIA, IWM, and large-cap stocks, but works on all markets including crypto and forex.
Non-repainting. Best used as a confirmation tool alongside your own levels and risk management.
Mean Absolute Error | Lyro RSOverview
This indicator is designed to evaluate price dynamics through the framework of Mean Absolute Error (MAE) while combining multiple modular techniques for adaptive market analysis. Its construction provides traders with a way to assess deviation from moving averages and identify potential shifts in valuation, momentum, and structural divergences. By integrating several unique analytical modes into a single tool, it offers flexible perspectives on price behavior without being tied to one rigid methodology.
Originality
The core concept behind this tool is the calculation of MAE relative to a chosen moving average benchmark. From this base, the script develops four distinct operational modes: Bollinger Bands, For Loop, VTrend, and StochTrend. Each module provides a different angle of interpretation. The Bollinger Bands mode replaces standard deviation with MAE-based envelopes. The For Loop mode interprets directional bias across variable lookback windows. The VTrend mode applies z-scored MAE to classify valuation and trend states. The StochTrend mode adapts stochastic oscillation techniques to MAE-based data, including divergence detection. These modules are combined with visual cues, background conditions, tables, and alert functionality to deliver structured yet versatile signals.
In terms of originality, this script departs from conventional volatility and momentum indicators by using MAE as the central metric instead of variance-based or raw-price oscillators. The modular design allows users to switch between methodologies without loading separate tools, unifying several approaches into a coherent framework. The integration of valuation thresholds, custom divergence recognition, and configurable visualization tables further extends its usefulness in practical trading situations while maintaining flexibility for different analytical preferences.
Key Features
The indicator includes a wide array of inputs for customization. Users can select the source price for calculations and choose a preferred signal mode from Bollinger Bands, For Loop, VTrend, or StochTrend. Each module has dedicated settings:
In Bollinger Bands, traders can select the moving average type, define lookback length, and adjust the multiplier that scales the MAE-based bands.
In For Loop, users configure the moving average type, loop length, and the range of indices for iteration, as well as long and short thresholds that define directional bias.
In VTrend, the sensitivity parameter controls the lookback for z-score calculations, while overvalued and undervalued thresholds establish valuation boundaries.
In StochTrend, users can choose the moving average type, stochastic length, and smoothing periods for %K and %D, with signals generated through crossovers and valuation zones.
In addition, the script provides options for table overlays, table positioning, and table sizing, allowing traders to monitor module states in a consolidated display. Color palettes can be customized through predefined schemes or user-defined settings, ensuring clarity in chart visualization.
Summary
In summary, this indicator combines MAE-based analytics with four modular approaches—volatility envelopes, iterative loop strength, z-scored valuation trends, and stochastic adaptations. Its design emphasizes flexibility, visualization, and clear state reporting through color, overlays, and tables. This makes it a practical framework for traders seeking to evaluate markets from multiple perspectives using a single unified tool.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Leswin Stocks Ribbon Signals (SPY/QQQ)
Leswin Ribbon Signals – Day Trading Indicator (Stocks & Crypto)
Leswin Ribbon Signals is a trend-based momentum indicator designed for day traders and scalpers who trade stocks, ETFs, options, and crypto.
Built for fast execution on 5m, 15m, and 1H timeframes, it uses a dynamic EMA ribbon, trend filtering, and volatility conditions to help identify high-probability BUY and SELL zones while avoiding low-quality chop.
Features:
• Trend-following EMA ribbon
• Automatic higher-timeframe trend filter
• Smart BUY & SELL signals
• Volatility (ATR) filter to avoid dead zones
• Regular Trading Hours (RTH) filter for stocks
• Optimized for SPY, QQQ, DIA, IWM, TSLA, AAPL, META
• Works on crypto, forex, and futures
• Mobile-friendly
• Non-repainting logic
This indicator is best used as a confirmation tool, not a standalone system. Always combine with your own levels, structure, and risk management.
ZION Momentum Flow [wjdtks255]🚀 ZION Momentum Flow
This is a trend-strength oscillator designed to visualize market momentum through a refined RSI logic. It helps traders identify the exact moment when market energy is accelerating or cooling down.
Key Features:
Visual Momentum: Uses a color-coded histogram to represent trend intensity (Green for Bullish, Red for Bearish).
Two-Tone Strength: Darker colors indicate standard movement, while bright neon colors signal high-energy breakouts beyond the threshold.
Built-in Alerts: Supports alerts for momentum spikes, allowing you to catch trend starts without staring at the screen.
ZION Trend Strike [wjdtks255]🚀 ZION Trend Strike
This is an advanced trend-following signal indicator designed to work in perfect harmony with the ZION Momentum Flow. It filters market noise and provides precise entry/exit points based on momentum synergy.
Key Features:
Trend Strike Signals: Provides clear BUY/SELL labels when price action aligns with momentum energy.
Dynamic Trend Guide: A color-switching EMA line that helps you visualize the current trend direction at a glance.
Synergy Optimization: Best used as a set with ZION Momentum Flow to avoid false breakouts.
Multilingual Input: Easy-to-use settings menu with both English and Korean labels.
Quant Labs Edge Filter (Community Edition)A market-structure filter designed to identify when no real edge exists.
Edge Filter evaluates price location relative to structure to define market posture — long bias, short bias, or stand aside. It does not generate trade signals and is intentionally designed to reduce overtrading.
Clear Posture States
Near Highs — Short Bias
Near Lows — Long Bias
No Edge — Stand Aside
When edge is absent, patience is the strategy.
Why It Stands Out
Most indicators encourage action.
Edge Filter encourages restraint.
Its purpose is to protect capital, attention, and decision quality by filtering out low-quality environments.
Community Edition
This version publishes the core logic openly for transparency and education.
Private access versions may exist for traders seeking continuity and stewardship.
Bottom Line
Trade less.
Trade better.
Wait for edge.
— QuantLabs
Macro Trend Divider Band [TrendRider]Macro-Trend Divider Band (200D SMA + 21W EMA)
This indicator is a macro-trend “divider band” overlay designed to keep you aligned with the higher-timeframe trend using two widely-followed references:
200-period Daily SMA (200D SMA)
21-period Weekly EMA (21W EMA)
It visualizes the relationship between these two levels as a band, then adds context by coloring fills and marking crossover events.
What it does
Plots two higher-timeframe trend baselines
200D SMA : long-term market regime reference (daily structure).
21W EMA : macro swing/trend reference (weekly structure).
Builds a “Divider Band” between them
The space between 21W EMA and 200D SMA is filled (optional).
This band helps you see when the market is in a transitional zone vs clearly trending.
Adds Above/Below context fill
It fills between price ( open ) and the nearest band boundary.
The fill switches color depending on whether price is above or below the macro band.
Highlights macro crossover events
Background highlights show when 21W EMA crosses the 200D SMA .
Optional BUY / SELL labels are printed on these crossovers.
Elements included
200D SMA line (toggle on/off, customizable color)
21W EMA line (toggle on/off, customizable color)
Inside-band fill (between 21W EMA and 200D SMA , toggle + color)
Above/Below fill (between price and band edge, toggle + colors)
Dynamic labels tracking the current values of each HTF line (toggle)
Crossover bar/background highlights (toggle + colors)
BUY / SELL crossover markers (toggle)
How to use it
1) Macro regime filter (primary use)
Bullish regime bias : price holds above the band consistently.
Bearish regime bias : price holds below the band consistently.
Transition zone : price moves inside/around the band — reduce position size or demand stronger confirmation.
2) Trade direction alignment
Use the band as a “permission layer” :
Prefer longs when price is above the band.
Prefer shorts when price is below the band.
When price is inside the band, treat signals as lower-quality unless supported by additional structure/volume confirmation.
3) Crossover events as macro signals (slow, high-level)
EMA crossing above SMA can indicate a regime shift to bullish conditions.
EMA crossing below SMA can indicate a shift to bearish conditions.
These are not fast signals; they are best used for position bias, not precise entries.
4) Risk management reference
In bullish conditions, the band often acts as a macro support zone.
In bearish conditions, it can act as macro resistance.
You can use it to place:
wider stops (macro swing style), or
define “invalidations” when price closes decisively back through the band.
Practical setup suggestions
Best for : swing trading, position trading, long-term bias, market regime filtering.
Works on any chart timeframe : because the indicator itself pulls Daily and Weekly data.
Combine with : local structure (HH/HL, LH/LL), volume, momentum tools, or a trigger indicator for entries.
If you want, I can produce a version of this post formatted for TradingView (title + short description + bullet features + usage section), or adapt the messaging for crypto vs equities.
Volatility Momentum Suite | Lyro RSVolatility Momentum Suite is an advanced momentum and volatility-based oscillator designed to deliver a complete view of trend strength, acceleration, and market extremes in a single pane. By combining rate-of-change smoothing, adaptive moving averages, standard deviation bands, and momentum acceleration, the indicator provides clear structural insight into trend continuation, exhaustion, and potential reversals.
Built with multiple display and signal modes, it adapts seamlessly to both trend-following and mean-reversion workflows while maintaining strong visual clarity.
Key Features
Momentum Core (Smoothed RoC)
The foundation of the indicator is a Rate of Change (RoC) calculation applied to a selectable price source. This RoC is smoothed using one of 14+ moving average types, including EMA, HMA, KAMA, FRAMA, JMA, and more, allowing precise control over responsiveness versus smoothness.
Standard Deviation Bands
Dynamic deviation bands are calculated around the smoothed momentum line using rolling standard deviation. Two band layers are plotted:
Inner bands for early expansion signals
Outer bands for extreme conditions
These bands adapt automatically to volatility, highlighting momentum expansions, compressions, and exhaustion zones.
Momentum Acceleration
A dedicated acceleration line measures the momentum of momentum itself. This helps identify:
Early trend ignition
Momentum deceleration before reversals
Continuation strength during expansions
Acceleration smoothing and MA type are fully configurable.
Multi-Mode Signal System
Trend Mode
Colors momentum and price according to position above or below the zero line, emphasizing directional bias and trend continuation.
Heikin Ashi Candles Mode
Applies Heikin Ashi logic directly to the momentum series, filtering noise and revealing smoother trend transitions through candle structure.
Extremes Mode
Detects statistically extreme momentum conditions beyond outer deviation bands. Signals are only confirmed after a Heikin Ashi momentum flip, reducing premature reversal entries.
Histogram Mode
Displays the difference between momentum and its signal line as a histogram, useful for divergence spotting and momentum shifts.
Histogram & Signal Line
An EMA signal line is applied to the smoothed momentum, producing a histogram that visually tracks momentum expansion, contraction, and directional changes with adaptive coloring.
Visual Customization
Choose from multiple predefined color palettes:
Classic
Mystic
Accented
Royal
Or define your own bullish and bearish colors.
Additional visual features include:
Momentum-colored candles
Heikin Ashi momentum candles
Band shading and fills
Optional zero-line reference
Integrated Status Table
A built-in table summarizes the real-time state of:
Trend bias
Heikin Ashi momentum direction
Extreme overbought / oversold conditions
This allows rapid decision-making without needing to interpret every visual element manually.
How It Works
Momentum Calculation
Computes Rate of Change on the selected source and smooths it using the chosen moving average.
Volatility Structure
Builds adaptive deviation bands from rolling standard deviation of the momentum line.
Acceleration Layer
Measures the rate of momentum change to detect early shifts in strength.
Mode-Dependent Logic
Trend mode focuses on directional bias
HA mode smooths momentum structure
Extremes mode filters reversals using volatility and HA confirmation
Histogram mode emphasizes momentum differentials
Signals & Alerts
Automatic alerts trigger on:
Momentum crossing above or below zero
Heikin Ashi momentum flips
Confirmed overbought and oversold extremes
Practical Use
Trend Confirmation: Sustained momentum above zero with expanding bands supports trend continuation.
Reversal Identification: Momentum pushing beyond outer bands followed by HA confirmation often precedes reversals.
Momentum Quality: Acceleration helps distinguish strong breakouts from weakening moves.
Multi-Timeframe Alignment: Use higher timeframes for bias and lower timeframes for precision entries using the same indicator.
Customization
Adjust RoC length and smoothing for sensitivity
Tune band length and multipliers for volatility conditions
Select display and signal modes based on strategy type
Fully customize colors to match your chart environment
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other forms of analysis and proper risk management. The author assumes no responsibility for trading decisions made using this indicator.
Smart Money Flow Signals [QuantAlgo]🟢 Overview
The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes.
🟢 How It Works
The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal.
First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis:
raw_money_flow = source * volume
positive_flow = source >= source ? raw_money_flow : 0
negative_flow = source < source ? raw_money_flow : 0
positive_money_flow = math.sum(positive_flow, mfi_period)
negative_money_flow = math.sum(negative_flow, mfi_period)
money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow)
This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance.
Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume:
money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0
money_flow_volume = money_flow_multiplier * volume
volume_sma = ta.sma(volume, trend_period)
chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0
Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation.
Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages:
volume_average = ta.sma(volume, trend_period)
volume_strength = volume_average != 0 ? volume / volume_average : 1
volume_weight = math.log(volume_strength + 1)
The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation.
Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles:
buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period)
selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period)
pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100
This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying).
Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity:
exponential_smooth_average = ta.ema(source, momentum_channel_period)
deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period)
channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0
This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement.
Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator:
momentum_wave = ta.ema(channel_index, trend_period)
money_flow_wave = (money_flow_index - 50) * 1.2
chaikin_flow_wave = chaikin_money_flow * 100
composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2
smoothed_wave = ta.sma(composite_wave, signal_smoothing)
This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence.
🟢 Signal Interpretation
▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities
▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities
▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions
▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries
▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise
▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves
🟢 Features
▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches.
1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions.
2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation.
3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states.
1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning.
2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting.
3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts.
4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion.
5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation.
6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels.
7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones
Overview
An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification.
What Makes This Unique
Unlike standard SuperTrend indicators that use moving averages, this version:
Uses actual pivot points to calculate a dynamic center line
Provides multiple entry mode options for different trading styles
Shows clear exit signals (both trailing stop and take profit)
Color-codes the entire chart into trade zones (Long, Short, No Trade)
Eliminates guesswork about when to enter, exit, and stay out
Features
📊 Core Indicator Components
Pivot Point Detection: Identifies local highs and lows in price structure
Dynamic Center Line: Weighted calculation using detected pivot points
ATR-Based Bands: Volatility-adjusted upper and lower bands
Trailing Stop Line: Adaptive stop-loss that follows the trend
🎯 Entry Signals
Four entry modes to match your trading style:
Immediate Mode ⚡
Signals right when the trailing stop breaks
Fastest entries for aggressive traders
Best for strong trending markets
Aggressive Mode 🔥 (Recommended)
Signals when price closes beyond break candle OR opens beyond it
Balanced speed and confirmation
Good for most market conditions
Balanced Mode ⚖️
Requires entire candle to close beyond break level
Moderate confirmation
Reduces false breakouts
Conservative Mode 🛡️
Waits for candle to open AND stay completely beyond break level
Highest confirmation, slowest entries
Best for choppy markets
🚪 Exit Signals
Three exit strategies:
Trailing Stop
Exits when price crosses back through the trailing stop line
Lets profits run in trending markets
Protects gains when trend weakens
Take Profit %
Exits at predetermined profit target
Locks in gains at specific percentage
Good for range-bound markets
Both
Uses whichever exit comes first
Combines profit protection with trend following
Recommended for most traders
🎨 Visual Trade Zones
Color-coded backgrounds eliminate confusion:
🟢 Light Green: Active LONG position
🔴 Light Red: Active SHORT position
⚫ Gray: NO TRADE ZONE (between exit and next signal)
📍 Additional Visual Elements
Diamond markers: Show when trailing stop is first broken
BUY/SELL labels: Clear entry signals in green/red
EXIT markers: Gray X for stop loss, Orange X (TP) for take profit
Pivot points: Optional display of detected highs/lows (H/L markers)
Support/Resistance: Optional circles at pivot levels
Settings & Parameters
Basic Settings
Pivot Point Period (default: 2)
Controls sensitivity of pivot detection
Lower = more pivots detected (more responsive)
Higher = fewer pivots (more stable)
ATR Factor (default: 3)
Distance multiplier for trailing stop bands
Lower = tighter stops (more signals, earlier exits)
Higher = wider stops (fewer signals, longer trades)
ATR Period (default: 10)
Lookback period for volatility calculation
Affects how quickly bands adapt to volatility changes
Entry Configuration
Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative
Determines how quickly the indicator generates signals after a trend break
Exit Configuration
Exit Method: Choose Trailing Stop, Take Profit %, or Both
Take Profit % (default: 2%)
Set your profit target as percentage of entry price
Adjust based on volatility and timeframe
Display Options
Show Buy/Sell Labels: Toggle entry signal labels
Show Exit Signals: Toggle exit markers
Show Break Candles: Toggle diamond markers on trend breaks
Show Pivot Points: Display H/L markers at pivot points
Show PP Center Line: Display the dynamic center line
Show Support/Resistance: Display circles at S/R levels
How to Use
For Swing Traders
Set Entry Mode to "Balanced" or "Conservative"
Use "Both" exit method with 3-5% take profit
Enable all visual elements for complete market picture
Trade only in direction of colored zones
For Day Traders
Set Entry Mode to "Aggressive" or "Immediate"
Use "Trailing Stop" exit method to catch intraday trends
Lower ATR Factor to 2-2.5 for tighter stops
Watch for quick signals in the first 2 hours of trading
For Position Traders
Use higher timeframes (Daily/Weekly)
Set Entry Mode to "Conservative"
Increase Take Profit % to 5-10%
Use larger ATR Factor (4-5) for wider stops
General Trading Rules
✅ DO: Enter on BUY/SELL signals (green/red backgrounds)
✅ DO: Exit on EXIT/TP markers
❌ DON'T: Enter during gray NO TRADE ZONE
❌ DON'T: Counter-trend trade against the colored zone
Alerts
Set up the following alerts for automated trading notifications:
Buy Signal: Triggers when long entry conditions are met
Sell Signal: Triggers when short entry conditions are met
Exit Long: Triggers when long position should be closed
Exit Short: Triggers when short position should be closed
Trailing Stop Broken: Triggers on initial trend change
Best Practices
Timeframe Selection
1-5 min: Scalping (use Immediate/Aggressive mode)
15-60 min: Day trading (use Aggressive/Balanced mode)
4H-Daily: Swing trading (use Balanced/Conservative mode)
Weekly: Position trading (use Conservative mode)
Risk Management
Always use the EXIT signals - don't hold through gray zones
Position size based on distance to trailing stop
Never risk more than 1-2% per trade
Consider wider stops on higher timeframes
Market Conditions
Trending markets: Use Aggressive mode, Trailing Stop exits
Ranging markets: Use Conservative mode, Take Profit exits
High volatility: Increase ATR Factor, use Both exits
Low volatility: Decrease ATR Factor for tighter stops
Technical Details
Calculation Method
Detect pivot highs and lows using specified period
Calculate weighted center line: (previous_center × 2 + new_pivot) / 3
Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR)
Determine trend based on price position relative to bands
Trail stop line follows the active trend direction
Signal Logic
Entry signals generated based on selected confirmation mode
Position tracking maintains state from entry to exit
Exit signals calculated from both trailing stop and take profit levels
Trade zones update in real-time based on position state
Limitations & Considerations
Works best in trending markets; may generate false signals in tight ranges
Not a holy grail - should be used with proper risk management
Past performance does not guarantee future results
Recommended to backtest on your specific instrument and timeframe
Consider combining with volume analysis or other indicators for confirmation
Version History
v1.0: Initial release with entry signals and confirmation modes
v1.1: Added exit signals (trailing stop and take profit)
v1.2: Added color-coded trade zones (Long/Short/No Trade)
Credits
Original Pivot Point SuperTrend concept by LonesomeTheBlue
Modified with exit signals and trade zone visualization
License
Mozilla Public License 2.0
Example Setups
Conservative Swing Trading
Pivot Point Period: 2
ATR Factor: 3
ATR Period: 10
Entry Mode: Conservative
Exit Method: Both
Take Profit %: 4%
Aggressive Day Trading
Pivot Point Period: 2
ATR Factor: 2.5
ATR Period: 10
Entry Mode: Aggressive
Exit Method: Trailing Stop
Position Trading
Pivot Point Period: 3
ATR Factor: 4
ATR Period: 14
Entry Mode: Balanced
Exit Method: Both
Take Profit %: 8%
Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose.
