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.
Trend
Apex Wallet - MTF Trend Monitor: Unified Indicator DashboardOverview The Apex Wallet MTF Trend Meter is a powerful Multi-Timeframe (MTF) dashboard designed to provide a bird's-eye view of market conditions across several time intervals simultaneously. Instead of switching between charts, this tool presents a clean, real-time table directly on your workspace, allowing you to identify high-probability trade setups through timeframe alignment.
Multi-Layered Analysis The dashboard monitors and categorizes technical data into actionable color-coded cells:
Timeframe Master Trend: Tracks the core market direction using EMA filters (adjustable for Scalping, Day, or Swing trading).
Oscillator Confluence: Instant status of Stochastic (STO), RSI, MACD, and TDI.
Andean Oscillator: Specialized tracking for market states including Bullish, Bearish, Consolidating, or Reversing.
Market Volume Delta: Real-time institutional flow tracking with customizable modes (Buy/Sell, Neutral, or Auto).
Key Features:
Fully Customizable Grid: Toggle individual timeframes (from 1m up to 4h) and specific indicators to match your trading strategy.
Smart Adaptive Presets: One-click selection for Scalping, Day-Trading, or Swing-Trading automatically updates all internal indicator periods for optimized performance.
Trend-Filtered Signals: Momentum indicators are filtered by the master trend EMA to ensure signals are displayed only when aligned with the broader market direction.
Compact UI: Designed for efficiency, the dashboard sits discreetly on your chart while providing maximum data density.
How to Use: Identify "Vertical Confluence" where multiple timeframes align with the same color, indicating a high-conviction trend continuation or breakout.
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes.
Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode:
Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes.
Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100).
Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves.
Key Features:
Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture".
Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average.
Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading.
How to Use:
Select your preferred Trading Mode in the settings.
Enable HTF Background to visualize the dominant trend from a higher timeframe.
Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
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.
[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.
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.
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
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.
Adaptive Trend & SL SystemAdaptive Trend & Risk System
1. The Problem: "Naked" Signals
Most trend indicators on TradingView have a fatal flaw: they tell you when to enter, but they never tell you when to leave . They give you a "Buy" signal, but leave you guessing about where to place your Stop Loss or where to take profit.
A signal without a risk management plan is not a strategy—it's a gamble.
2. The Solution: A Complete Trading System
The Adaptive Trend & Risk System (ATS) is designed to be a complete "Turnkey" trading suite. It doesn't just generate signals; it manages the entire lifecycle of the trade.
It combines three distinct market concepts into one clean overlay:
Trend Detection: Uses a Hull Moving Average (HMA) baseline to determine the immediate market flow.
Signal Filtering: Uses the Average Directional Index (ADX) to filter out "fakeouts" and weak trends.
Dynamic Risk Management: Automatically calculates Volatility-Based (ATR) Stop Losses and Risk:Reward targets the moment a signal is generated.
3. How It Works (The Math)
The script operates on a strict "State Machine" logic. It remembers the state of your trade bar-by-bar.
The Entry (Strong Signals)
A "STRONG" signal is only generated when two conditions are met:
Price crosses the Trend Baseline.
ADX (Trend Strength) is above the threshold (Default: 25).
Note: Weak signals (small triangles) are shown when price crosses the baseline but ADX is low. These are risky and should be treated with caution.
The Stop Loss (Red/Green Crosses ++++)
Upon a strong entry, the script calculates a Stop Loss based on the Average True Range (ATR).
Long SL: Low - (ATR * Multiplier)
Short SL: High + (ATR * Multiplier)
The "Hard" Stop: Unlike trailing stops that move every bar, this SL is fixed to the volatility at the moment of entry. It only disappears if price hits it (marked by an Orange X ) or if a reversal signal occurs.
The Targets (Blue/Purple Dots oooo)
The script projects two Take Profit levels based on your risk:
TP1 (Blue Dots): 1.5x your Risk.
TP2 (Purple Dots): 3.0x your Risk.
Smart Visuals: If price hits TP1, the dots disappear to keep your chart clean, letting you focus on TP2.
4. How to Use This Indicator
Step 1: Wait for a "STRONG" Label. Do not trade every crossover. Wait for the large triangle with the text label.
Step 2: Place your Entry at the close of the signal bar.
Step 3: Place your Physical Stop Loss exactly at the level of the Green/Red Crosses .
Step 4: Place Limit Orders at the Blue Dots (TP1) and Purple Dots (TP2) .
Management:
If the Orange X appears, your Stop Loss was hit. Exit the trade immediately.
If a Weak Signal (small triangle) appears against your trade, consider tightening your stops, as momentum may be fading.
5. Settings Guide
Trend Baseline Length: Controls the sensitivity of the trend filter. Higher = Fewer signals, longer trends.
ATR Length: Controls how "volatile" the Stop Loss calculation is.
Stop Loss Multiplier: The "breathing room" for your trade. 2.0 is standard. 3.0 is for volatile assets like Crypto.
TP Risk:Reward Ratios: Fully customizable. Default is 1.5R and 3.0R.
Risk Warning & Disclaimer
Trading financial assets involves a high level of risk and may not be suitable for all investors. The content, indicators, and signals provided by this script are for educational and informational purposes only and do not constitute financial, investment, or trading advice.
The "Adaptive Trend & Risk System" is a technical analysis tool based on historical price data and mathematical formulas (ATR, ADX, Hull MA). Past performance is not indicative of future results. Market conditions can change rapidly, and no indicator can guarantee profits or prevent losses.
By using this script, you acknowledge that:
You are solely responsible for your own trading decisions and risk management.
You should never trade with money you cannot afford to lose.
The author of this script assumes no liability for any financial losses or damages incurred from the use of this tool.
Always consult with a qualified financial advisor before making investment decisions.
Swing Structure Bands [ChartPrime]⯁ OVERVIEW
Swing Structure Bands is a structure-based trend and reaction indicator that builds adaptive price bands directly from swing highs and swing lows.
Instead of using fixed-length moving averages, the bands dynamically adjust their length based on how long price has been forming higher highs or lower lows, allowing the indicator to naturally align with real market structure.
This makes the tool especially effective for identifying swing-based support and resistance, trend continuation zones, and exhaustion reactions.
⯁ CORE CONCEPT
The indicator continuously tracks:
The most recent swing high and swing low over a configurable swing window.
How long price has been developing since each swing point.
Dynamic moving averages whose length grows with the swing itself.
As long as price respects the current swing direction, the bands extend and adapt.
When structure breaks, the system resets and starts forming new swing-based bands.
⯁ SWING DETECTION LOGIC
A Swing High is detected when price forms a local maximum relative to the swing lookback.
A Swing Low is detected when price forms a local minimum relative to the swing lookback.
Direction flips when price transitions from forming highs to forming lows, or vice versa.
Each confirmed swing is marked on the chart, giving clear structural context.
⯁ ADAPTIVE BAND CONSTRUCTION
Upper bands are derived from swing highs.
Lower bands are derived from swing lows.
Band length dynamically increases as the swing develops.
Multiple MA types can be used (SMA, EMA, SMMA/RMA, WMA, VWMA).
ATR is applied as an offset to create upper and lower envelopes around each band, forming a volatility-aware structure channel.
⯁ VOLATILITY FILTERING
If the band moves too aggressively relative to ATR, it is temporarily disabled.
This prevents unstable or noisy bands during sudden expansions.
Bands only remain active when price structure is stable.
This logic keeps the indicator focused on meaningful swings rather than short-term spikes.
⯁ REACTION & SIGNAL LOGIC
Sell signals appear when price crosses down from the upper swing band after sufficient stabilization.
Buy signals appear when price crosses up from the lower swing band after sufficient stabilization.
Cooldown logic prevents signal clustering.
Signals are designed as structure reactions , not momentum breakouts.
⯁ VISUAL STRUCTURE CLARITY
Separate bullish and bearish bands with customizable colors.
Optional band envelopes for visual depth.
Clear swing labels marking structural turning points.
Diamond markers highlight reaction zones.
The visualization emphasizes where price reacts to structure rather than where it accelerates.
⯁ HOW TO USE
Use upper bands as dynamic resistance during bearish or corrective phases.
Use lower bands as dynamic support during bullish phases.
Combine band reactions with higher-timeframe trend direction.
Look for confirmations near bands rather than mid-range entries.
The indicator works best as a structure framework rather than a standalone signal generator.
⯁ IDEAL MARKET CONDITIONS
Trending markets with clear swing development.
Markets transitioning from impulse to correction.
Crypto, forex, indices, and liquid stocks.
⯁ CONCLUSION
Swing Structure Bands offers a structurally grounded alternative to traditional moving average channels.
By anchoring bands to real swing behavior and adapting dynamically over time, it provides traders with a clearer view of where price is reacting, pausing, or potentially reversing within the broader market structure.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops.
How it Works:
Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals.
Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend.
Liquidity Sweep Detection:
A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward.
A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes.
ATR-Based Risk Management:
Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5).
Take profit is set based on a risk-reward ratio (default 2.5x).
Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading.
Inputs:
Session Start/End (HHMM)
Liquidity Lookback Period (number of bars to define prior high/low)
ATR Length for stop calculation
ATR Stop Multiplier
Risk-Reward Ratio
EMA Trend Filter Length
Visuals:
Prior Liquidity High (red)
Prior Liquidity Low (green)
EMA Trend (blue)
Why Use This Strategy:
Captures stop-hunt moves often triggered by larger market participants.
Only trades with trend confirmation, reducing false signals.
Provides automatic ATR-based stop loss and take profit for consistent risk management.
Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style.
Important Notes:
Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker.
Not financial advice; intended for educational, backtesting, or paper trading purposes.
Always test strategies thoroughly before applying to live accounts.
All-In-One Trading Toolkit [wjdtks255]Title: All-In-One Trading Toolkit
Description: This professional toolkit integrates 5 essential indicators into one seamless interface to enhance your market analysis. It provides a comprehensive view of trend, momentum, and volatility.
Features:
Bollinger Bands: Tracks price volatility and potential reversal zones.
Ichimoku Cloud: Visualizes long-term trend support and resistance.
RSI Dashboard: Real-time momentum monitoring in the top-right corner.
MACD Signals: Direct Buy/Sell shape indicators on the chart for instant decision making.
Volume Profile: Identifies key price levels with high trading activity.
Strategy:
Entry: Follow the MACD crossover signals (Green/Red triangles) when they align with the Ichimoku Cloud direction.
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength.
Key Features
Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes.
Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read.
Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity.
Multi-Palette Visual System:
Predefined Palettes – Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors.
Custom Colors – Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones.
Dynamic Visuals – Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state
.
Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart.
Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions.
How It Works
MA Calculation – Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library.
Deviation Computation – Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility.
Loop Function – Iterates from user-defined indices (From → To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator.
Signal Logic – Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure.
Color Coding & Visual Feedback
Palette or custom colors reflect oscillator's directional state.
Additional glow lines increase signal emphasis.
Background shading highlights crossovers with mid-threshold for enhanced visibility.
Optional bar and candle coloring aligns price visualization with indicator signals.
Practical Use
Momentum Confirmation – Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength.
Volatility Normalization – Standardized deviation ensures consistency across assets of different volatility profiles.
Multi-Timeframe Adaptation – The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis.
Visual Clarity – Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure.
Customization
Select from 16 moving average types to control sensitivity and smoothing.
Adjust loop depth (From/To) to define how far back deviation is compared.
Set custom threshold levels to reflect your preferred sensitivity to momentum shifts.
Customize visuals with predefined palettes or manual color settings for full chart integration.
⚠️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.
Axis-Pro System | Trend Structure + Fibonacci Pullbacks Axis-Pro System is a comprehensive Trend Following strategy designed to trade high-probability pullbacks. Unlike indicators that merely chase price, this system patiently waits for market structure alignment before seeking an entry.
The system is built on the premise of "Quality over Quantity", utilizing volatility and structure filters to avoid choppy markets (ranges) and false breakouts.
🧠 Strategy Logic
The system makes decisions based on a strict 4-step hierarchy:
Higher Timeframe (HTF) Bias:
Analyzes the trend on a higher timeframe to ensure we are trading in the direction of the dominant flow.
Structure & BOS (Break of Structure):
Identifies clear impulses that break previous highs or lows. Once a BOS is confirmed, the system "arms" the trade and waits.
Fibonacci Zone Pullback:
It does not chase the breakout. Instead, it waits for a pullback into the "Discount Zone" (Golden Zone, configurable between 0.382 and 0.618) to improve the Risk/Reward ratio.
Validation & Trigger:
Uses an ATR expansion check to filter out low-volatility periods.
Requires candle confirmation and alignment with fast EMAs before pulling the trigger.
🛡️ Risk Management
The system incorporates advanced position management using a split execution model (50/50):
Dynamic Stop Loss: Automatically calculated using an ATR multiplier or the recent Swing High/Low (whichever offers better protection).
TP1 (Take Profit 1): Closes 50% of the position at a fixed R-multiple (e.g., 1.5R) to lock in profit and moves the Stop Loss to Break-Even.
TP2 (Runner): The remaining 50% is left to run for higher targets (e.g., 3.0R) or until the trend bends, maximizing gains during strong moves.
Trailing Stop: Optional feature to trail price with a fast EMA once the first target is hit.
⚙️ Settings & Features
The script is highly customizable for different assets (Crypto, Forex, Indices):
Date Range Filter: Includes a date selector to perform precise Backtesting on specific periods (e.g., testing specifically during a Bear Market vs. Bull Market).
Auto Trendlines: Automatically draws relevant trendlines for visual support.
Quality Filters: Options to toggle the EMA 200 filter and breakout buffers.
⚠️ Disclaimer
This strategy is a tool for analysis and backtesting purposes. Past performance does not guarantee future results. It is highly recommended to test the strategy on a Demo account first and adjust parameters according to the volatility of the specific asset being traded. Always use responsible risk management.
