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 Analysis
FxShare - Trend MomentumThis one is just a clean background script. You can use it as an addition to your other indicators or if you just want:
a clean Trend Channel
a calm background
Momentum Strength meter panel.
It is based on our favorite accurate combo ATR, MACD and RSI mix . It has only one outside parameter for channel smoothing - 0-50 range. Use it, break it, improve it..
Supertrend + RSI + EMA + MACD - Fixed Single SignalMomentum trading with signals to add alerts and connect to API for Algo trading
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow (KAE)
KAE Flow is a quantitative composite indicator designed to identify dominant market trends by fusing three distinct dimensions of price action: Volatility, Trend Age, and Volume Pressure.
Unlike standard indicators that rely on a single data point (like a moving average crossover), KAE Flow aggregates three independent logic engines into a single normalized "Flow" score. This score is then smoothed using an Arnaud Legoux Moving Average (ALMA) to filter out noise while retaining responsiveness to genuine trend reversals.
This script operates strictly on the current chart timeframe, ensuring all signals are causal, non-repainting, and reliable for real-time analysis.
1. The Quantitative Engine (How it Works)
The indicator polls three separate components. Each component votes "1" (Bullish), "-1" (Bearish), or "0" (Neutral). These votes are averaged to create the raw signal.
K — Keltner Channels (Volatility Dimension)
Concept: Measures volatility expansion.
Logic: The script calculates Keltner Channels using an EMA center line and ATR bands.
Bullish (+1): Price closes above the Upper Channel.
Bearish (-1): Price closes below the Lower Channel.
This component ensures we only trade when price is breaking out of its expected volatility range.
A — Aroon (Trend Age Dimension)
Concept: Measures the strength and "freshness" of a trend.
Logic: We utilize the Aroon Up and Aroon Down metrics.
Bullish (+1): Aroon Up is greater than Aroon Down AND Aroon Up is > 70.
Bearish (-1): Aroon Down is greater than Aroon Up AND Aroon Down > 70.
This filters out weak or aging trends, ensuring the move has mathematical momentum.
E — Elder’s Force Index (Volume Dimension)
Concept: Measures volume-weighted price change.
Logic: We calculate the raw Force Index (Close - Close ) * Volume and smooth it with an EMA.
Bullish (+1): Smoothed EFI > 0.
Bearish (-1): Smoothed EFI < 0.
This component confirms that price movement is supported by actual volume flow (accumulation/distribution).
2. Signal Processing (ALMA Smoothing)
Raw aggregation can be noisy. The composite score is passed through an ALMA (Arnaud Legoux Moving Average) filter.
Why ALMA? It uses a Gaussian distribution to provide smoothness without the significant lag associated with SMA or EMA. This creates the "Flow" line that resists false flips during choppy consolidation.
3. How to Use
The indicator plots a signal line and dynamically colors the price bars and background to reflect the dominant bias.
Deep Blue (Bullish Flow): The KAE Score is > 0.1. All three engines (or the majority) are aligned bullishly. Traders typically look for long entries or hold existing long positions.
White (Bearish Flow): The KAE Score is < -0.1. The majority of engines detect bearish volatility and volume. Traders typically look for short entries.
Gray (Neutral): The score is between -0.1 and 0.1. The market is in equilibrium or transition. Trend-following strategies should be paused.
4. Configuration
Logic Engine: You can toggle individual components (K, A, or E) on or off to isolate specific market dimensions.
Smoothing: Adjust the ALMA Window and Offset to fine-tune the sensitivity of the signal line.
Lengths: Fully customizable periods for Keltner, Aroon, and EFI to adapt to different asset classes (e.g., Crypto vs. Forex).
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
GOM Divine LevelsGOM Divine Levels is an advanced trading indicator that revolutionizes how you identify support and resistance levels. Developed with logic inspired by professional MT5 algorithms, this tool gives you a competitive edge in the markets.
✨ MAIN FEATURES:
🔍 Multi-Timeframe Detection:
Simultaneous analysis of 6 main timeframes (M5, M15, H1, H4, D1, W1)
Selective display according to your trading preferences
Real-time level updates
⚖️ Intelligent ATR Validation:
Level filtering based on ATR distance
Elimination of false signals and market "noise"
Adjustable parameters according to your trading style
🔄 Touch Detection System:
Automatic touch counting on each level
Variable line thickness according to level significance
The more a level is tested, the more significant it becomes
🎨 Professional Visualization:
Distinct color codes for supports (green) and resistances (red)
Clear labels with timeframe and level type
Lines extended across the entire chart for better visibility
⚠️ Complete Alert System:
Alerts for each timeframe and level type
Real-time notifications for trading opportunities
Configurable according to your specific needs
🛠️ CUSTOMIZABLE PARAMETERS:
Swing Detection: Adjust pivot sensitivity
ATR Validation: Control minimum and maximum distances
Touch System: Customize detection zone and line thickness
Display: Choose timeframes, colors, and labels
📈 FOR WHOM?
Beginner traders looking for clear levels
Experienced traders wanting to confirm their analysis
Scalpers using short timeframes
Long-term investors relying on higher timeframes
⚡ KEY ADVANTAGES:
Accuracy: Sophisticated algorithms for precise detection
Flexibility: Adaptable to all trading styles
Visibility: Clear and uncluttered interface
Reliability: Multiple level validations
Real-time: Instant updates
🔧 TECHNICAL SPECIFICATIONS:
Based on pivot detection (swing highs/lows)
Validation by dynamic ATR distance
Historical touch counting system
Compatible with all TradingView instruments
🚀 HOW TO USE:
Add the indicator to your chart
Configure desired timeframes
Adjust parameters according to the market
Trade on the most significant levels
Enable alerts to never miss opportunities
Join the traders who have already discovered the power of divine levels! Transform your technical analysis with GOM Divine Levels™.
IG ATR Risk PlannerOverview
The IG ATR Risk Planner is a professional risk management indicator that calculates position size, stop-loss, and take-profit levels using the Average True Range (ATR). It adapts to market volatility, helping traders maintain consistent discipline across different instruments and timeframes.
Key Features
Position Size Calculation: Automatically determines optimal position size based on account balance, risk percentage, and ATR stop distance.
Volatility-Based Stop-Loss: Calculates stop levels using ATR multipliers, ensuring stops are adjusted to market conditions.
Take-Profit Targets: Provides three customizable ATR-based profit targets (TP1, TP2, TP3).
Risk Parameters Table: Displays account size, risk %, multiplier, entry, stop, and targets in a clear on‑chart table.
Chart Labels: Entry, stop, and TP levels are visually marked for instant recognition.
Alerts: Integrated alerts for entry, stop, and profit targets.
Alerts Included (concise list)
Entry Long / Entry Short
Stop Long / Stop Short
TP1 Long / TP1 Short
TP2 Long / TP2 Short
TP3 Long / TP3 Short
Why Use This Indicator?
Risk management is the foundation of consistent trading. The IG ATR Risk Planner ensures every trade is backed by clear calculations, structured targets, and actionable alerts. Whether trading forex, stocks, or crypto, this tool helps you stay disciplined and professional.
Future Swing [BigBeluga]🔵 OVERVIEW
Future Swing is a swing-based projection tool that estimates the potential size and price target of the next swing move using historical swing behavior.
Instead of predicting direction randomly, it analyzes completed swing legs, measures their percentage moves, and projects a statistically derived swing target into the future.
The indicator combines swing structure, high/low zones, volume context, and a real-time dashboard to help traders anticipate where price may travel next.
🔵 CONCEPTS
Swing Detection — Swing highs and lows are identified using a configurable lookback length.
Swing Percentage Tracking — Each completed swing leg is converted into a percentage move and stored.
Statistical Projection — Future swing size is estimated using Average, Median, or Mode of past swing percentages.
Directional Awareness — Projections adapt automatically based on current swing direction.
🔵 FEATURES
Historical Swing Sampling —
• Uses a user-defined number of completed swings.
• More samples = smoother projection, fewer samples = faster adaptation.
Future Swing Projection —
• Dashed line projects the estimated swing target forward in time.
• Projection distance is visual-only and does not affect calculations.
High/Low Swing Zones —
• Upper and lower swing zones expand using ATR distance.
• Zones visualize potential reaction and rejection areas.
Volume Context per Swing —
• Buy and sell volume are accumulated during each swing leg.
• Delta and total volume are displayed in the dashboard.
Smart Dashboard —
• Displays each stored swing percentage.
• Shows calculated swing projection value.
Flexible Projection Method —
• Average: smooth and balanced.
• Median: filters out extreme outliers.
• Mode: focuses on the most common swing size.
Extendable Zones —
• Swing zones can optionally extend forward indefinitely.
🔵 HOW TO USE
Anticipate Swing Targets — Use the projected swing line as a probabilistic price objective.
Combine with Structure — Align projections with support, resistance, or liquidity zones.
Filter by Volume — Confirm swing quality using delta and total volume metrics.
Adjust Sensitivity — Tune swing length and historical sample size to match timeframe and volatility.
Context, Not Certainty — Use projections as guidance, not fixed take-profit levels.
🔵 CONCLUSION
Future Swing transforms past swing behavior into a forward-looking projection model.
By combining swing structure, statistical aggregation, ATR zones, and volume analysis, it offers traders a structured way to estimate where the next meaningful price move may reach — without relying on fixed targets or subjective assumptions.
Multi-Timeframe EMA Bundle (576/676/144/169/12)A comprehensive EMA (Exponential Moving Average) indicator combining five key moving averages used by professional traders for trend identification and dynamic support/resistance levels.
Included EMAs:
EMA 576 & EMA 676 (Blue) — Long-term trend filters commonly used on lower timeframes to represent higher timeframe structure. Acts as major support/resistance zones.
EMA 144 & EMA 169 (White) — Mid-term trend indicators derived from Fibonacci numbers. When price respects this zone, it often signals strong trend continuation.
EMA 12 (Yellow) — Short-term momentum tracker for entries and exits. Useful for identifying pullback opportunities within the trend.
All-in-One Multi-Indicator Straddle - Strangle StrategyAll-in-One Multi-Indicator Straddle – Strangle Strategy
Overview
All-in-One Multi-Indicator Straddle – Strangle Strategy is an analytical indicator designed for options premium analysis on Indian index derivatives. The script dynamically constructs option symbols based on user-selected index, expiry, and strikes, and visualizes the combined premium (Call + Put) or individual leg premium as candles.
On top of the premium structure, the indicator allows traders to optionally apply multiple technical indicators —EMA crossover, Supertrend, VWAP, RSI, and SMA—to generate structured buy and sell signals on the option premium itself.
This tool is intended strictly for educational and analytical purposes and does not execute trades.
Key Features
Dynamic Option Symbol Construction
Supports NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY, and BSX
User-defined expiry (day, month, year)
Custom Call and Put strike selection
Straddle / Strangle Premium Visualization
Combined Call + Put premium
Only Call premium
Only Put premium
Displayed as candle data for better price-action analysis
Multi-Indicator Confirmation Engine
EMA crossover (fast & slow)
Supertrend with adjustable ATR and factor
Session-reset VWAP on premium
RSI with customizable levels
SMA trend filter - Indicators can be enabled or disabled independently.
Signal Control Logic
One Buy and one Sell signal per trading day
Prevents repeated signals in the same direction
Signals are based on selected indicator confluence
Alerts
Built-in alert conditions for Buy and Sell signals
How It Works
The script builds option symbols using the selected index, expiry, and strike prices.
Option OHLCV data is fetched using request.security.
Depending on the selected mode: (1) Call and Put premiums are combined, or (2) A single leg is analyzed.
The resulting premium is plotted as candles.
Selected indicators are applied directly to the premium price.
Buy/Sell signals are generated only when all enabled conditions align.
Inputs Summary
Index & Expiry
Spot symbol
Expiry day, month, and year (string-based for accuracy)
Strike Selection
Call strike
Put strike
Combined / Only Call / Only Put mode
Indicators (Optional)
EMA (Fast & Slow lengths)
Supertrend (ATR length & factor)
VWAP (volume-weighted premium)
RSI (length, overbought & oversold levels)
SMA (length)
Important Notes & Limitations
This indicator does not place trades and is not a strategy.
Option symbols must exactly match broker-specific naming conventions supported by TradingView.
Data availability depends on TradingView’s option data coverage.
VWAP is session-based and resets on a new trading day.
Signals are analytical references only and should not be considered financial advice.
Intended Use
This indicator is best suited for:
Studying straddle and strangle premium behavior
Monitoring premium trends using technical indicators
Educational analysis of option premium dynamics
Users are encouraged to combine this tool with their own risk management and market understanding.
MTF Equals v1.0MTF Equals is a professional-grade tool designed to identify significant price levels across multiple timeframes. It scans the current chart and higher timeframes (HTF) for identical highs and lows ("Equals"), which often act as price magnets or liquidity pools.
Key Features:
Multi-Timeframe Analysis: Automatically detects identical highs and lows on the current chart, as well as M5, M15, M30, H1, H4, and Daily.
NQ Auto-Detection: Specialized logic for Nasdaq (NQ) that automatically determines the ideal starting point for analysis based on volume, efficiency, and price density.
Live Statistics: Displays the number of touches and the bar distance from the first touchpoint directly on the price level.
Smart Cleaning: Levels are automatically removed once they are significantly breached by price, keeping your chart clutter-free.
Advanced Visuals: Fully customizable colors, line styles, and label positioning (e.g., Align to Margin).
How to use:
Perfect for spotting "Equal Highs/Lows" (Liquidity) or confirming institutional support and resistance zones.
RegimeWorks AUDUSD 4H Regime and Sessions FREEWhat this tool does
RegimeWorks applies a higher-timeframe regime filter (4H) combined with session awareness to classify market conditions as either permitted or blocked.
It shows:
• HTF regime validity (trend + volatility context)
• Directional bias (LONG / SHORT / NONE)
• Volatility state (expanding vs flat)
• Tokyo / London / New York session status
• A clear final outcome: PERMITTED or WAITING
No trade entries.
No exits.
No alerts.
Just decision-level context.
What this tool does not do
This is not a signal indicator.
It intentionally does not include:
• entry logic
• stop loss or take profit rules
• risk sizing
• automation
• strategy backtests
Execution belongs in a separate layer.
Why it exists
Most losses don’t come from bad entries —
they come from trading when no edge exists.
RegimeWorks is built around the idea that permission comes before execution.
If the regime is invalid, the correct trade is often no trade.
How to use it
Use this indicator as a gate, not a trigger.
• If the outcome is WAITING, stay flat
• If the outcome is PERMITTED, then look to your own execution rules
• Combine with your own risk management and strategy
This tool does not replace a trading system —
it protects one.
Part of a larger framework
This AUDUSD release is part of the RegimeWorks multi-market framework, which applies the same regime logic consistently across instruments.
Also available:
• USDJPY
• XAUUSD
Same philosophy. Same structure. Different markets.
RegimeWorks
Rule-based. Regime-gated. Capital-first.
Point PivotThis pivot point are the best pivot point existing on Trading view. This script is collecting:
- Traditionnal
-Classical
-Fibonnaci
-Woodie
Calculation method.
what is new here ? you are allow to established at least 5 pivot timeframe all different than the other. Why this is innovative? because even for the person in free access you can use several pivot to help your trading
You can add at least 5 extra pivot from S5 to R5
Now, a extrapolation of Camarilla, Fibonnaci and traditionnal pivot point to R8 / S8 is possible
Trading Checklist by GCGFxThis indicator provides an on-chart checklist to follow a trading plan step-by-step. Customize your workflow by editing section headers and item text in Inputs, then manually toggle each checkbox as conditions are met. A progress counter is shown in the title for quick tracking.
How to use:
Edit section headers and item text in Inputs (5 sections, 40 items).
Toggle the ✓ checkbox beside each item as you complete it.
Use wrapping settings to keep the panel from widening when items are long.
Use Cycle ID / Auto-reset to start a fresh checklist for a new trade/day/session (display-only).
Key features:
5 configurable sections, 8 items each
Manual checkboxes + progress counter
Word wrap (character-based)
Alignment + color controls per section
Position controls
Limitations:
TradingView Pine cannot accept mouse clicks inside the panel and cannot automatically untick input checkboxes.
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator
This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards:
1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution.
2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility.
3. Advanced Practical Filters
Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility.
Confidence Threshold: Only triggers signals when the AI performance score meets the required quality.
Cooldown Logic: Prevents rapid signal flipping in choppy markets.
🧠 開發理念:將 AI 自適應力帶入台指期實戰 針對台指期(TX)高波動特性開發,透過機器學習演算法動態尋優,解決傳統指標參數固定的滯後性。
✨ Echo 版核心優化點
數據連續性迭代:底層邏輯優化,確保訊號在即時盤勢中穩定不跳斷,回測與實戰高度吻合。
自適應動態尋優:透過 K-means 聚類自動鎖定當前最佳 ATR 因子。
實戰多重濾網:包含空間緩衝區 (Buffer) 與信心門檻,大幅提升訊號品質。
📊 視覺說明
🚀 Rocket: AI confirms trend momentum.
⚡ Lightning: Trend exhaustion or reversal warning.
⚠️ Disclaimer: For educational and technical analysis purposes only.
[Sumit Ingole] 200-EMA SUMIT INGOLE
Indicator Name: 200 EMA Strategy Pro
Overview
The 200-period Exponential Moving Average (EMA) is widely regarded as the "Golden Line" by professional traders and institutional investors. This indicator is a powerful tool designed to identify the long-term market trend and filter out short-term market noise.
By giving more weight to recent price data than a simple moving average, this EMA reacts more fluidly to market shifts while remaining a rock-solid trend confirmation tool.
Key Features
Trend Filter: Instantly distinguish between a Bull market and a Bear market.
Price above 200 EMA: Bullish Bias
Price below 200 EMA: Bearish Bias
Dynamic Support & Resistance: Acts as a psychological floor or ceiling where major institutions often place buy or sell orders.
Institutional Benchmark: Since many hedge funds and banks track this specific level, price reactions near the 200 EMA are often highly significant.
Reduced Lag: Optimized exponential calculation ensures you stay ahead of the curve compared to traditional lagging indicators.
How to Trade with 200 EMA
Trend Confirmation: Only look for "Buy" setups when the price is trading above the 200 EMA to ensure you are trading with the primary trend.
Mean Reversion: When the price stretches too far away from the 200 EMA, it often acts like a magnet, pulling the price back toward it.
The "Death Cross" & "Golden Cross": Use this in conjunction with shorter EMAs (like the 50 EMA) to identify major trend reversals.
Exit Strategy: Can be used as a trailing stop-loss for long-term positional trades.
Best Used On:
Timeframes: Daily (1D), 4-Hour (4H), and Weekly (1W) for maximum accuracy.
Assets: Highly effective for Stocks, Forex (Major pairs), and Crypto (BTC/ETH).
Disclaimer: This tool is for educational and analytical purposes only. Trading involves risk, and it is recommended to use this indicator alongside other technical analysis tools for better confirmation.
Paavvrri Bulls vs Bears + MACD Ultimate [FINAL]To publish the Paavvrri Bulls vs Bears + MACD Ultimate, you need a description that highlights the combination of sentiment analysis and momentum tracking.
Here is a professional, concise description for your TradingView publication:
Paavvrri Bulls vs Bears + MACD Ultimate
The Paavvrri Bulls vs Bears + MACD Ultimate is a high-performance oscillator suite designed to reveal the hidden battle between buyers and sellers. By combining a multi-layered AI sentiment engine with a precision-tuned "Ultimate MACD," this tool provides a dual-perspective view of market momentum and conviction.
### 1. Bulls vs Bears AI Engine
Unlike standard oscillators, the BvB AI calculates a Cumulative Sentiment Score by stacking seven distinct layers of market data:
RSI & Momentum: Measures speed and over-extension.
Trend & PA Layers: Analyzes EMA spreads and Price Action candle efficiency.
Volume & Volatility: Confirms move conviction and ATR-based expansion.
S/R Positioning: Tracks where price sits relative to its recent range.
The Result: A stacked histogram that visually shows which side is winning the tug-of-war.
### 2. Ultimate MACD Component
Switch to the "Ultimate MACD" mode for a professional-grade momentum workspace:
MTF Support: View MACD signals from higher timeframes on your current chart.
4-Color Histogram: Advanced color coding to distinguish between accelerating and decelerating momentum.
Smart Cross Dots: High-visibility signals for Bullish/Bearish crossovers.
Dynamic Lines: Color-shifting MACD and Signal lines for instant trend bias identification.
### Key Features
Switchable Interface: Toggle between "BvB AI" and "Ultimate MACD" using the Master Input to keep your workspace clean.
AI Info Table: A real-time dashboard displaying raw Bull/Bear scores and an overall market Sentiment label.
Zero-Repaint Logic: Optimized for Pine Script v6 with high-fidelity calculations.
### How to Trade
Sentiment Confluence: Look for the Total Bulls (Green) or Total Bears (Red) columns to exceed the Zero Line while the MACD confirms the direction.
Layer Breakouts: When all seven layers of the BvB AI expand simultaneously, it indicates a high-probability "Power Move."
MACD Precision: Use the Cross Dots at the Zero Line for high-conviction entries during trending markets.
### Release Notes (Final Version)
Modern Timeframe Logic: Replaced obsolete inputs with the Pine v6 timeframe standard.
Performance Tuning: Faster calculation for multi-layer stacking.
Enhanced Visuals: Improved column transparency for better readability.
Paavvrri Ultimate SystemPaavvrri® Ultimate Trading System v2
The Paavvrri® Ultimate Trading System is an all-in-one technical analysis suite for Pine Script v6. It combines institutional level-tracking (CPR), volatility-based execution (ATR), and a real-time momentum dashboard into a single, non-repainting workspace.
### Core Features
Volumatic Trend Engine: smoothed, volume-weighted candles that identify the "true" trend direction while filtering out market noise.
Automated ATR Strategy: Generates "LONG" and "SHORT" signals with automated Stop-Loss and 3 Take-Profit levels based on market volatility.
Institutional CPR & Levels: Includes Daily, Weekly, and Monthly Central Pivot Range (CPR), plus "Tomorrow’s CPR" for predictive planning.
MTF Dashboard: A real-time table tracking VWAP, MACD, and Supertrend across multiple timeframes (1m to 1D) for trend confluence.
Opening Range Breakout (ORB): Automates the high-probability trade levels from the market open.
Momentum Filter: Integrated ADX scanner to distinguish between trending and sideways/choppy markets.
### How to Use
Confluence: Enter trades when the ATR Signal aligns with the MTF Dashboard (e.g., a Long signal when higher TFs are "Bull").
Level Trading: Use the CPR and Previous Day High/Low (PDH/PDL) as primary targets or reversal zones.
Visual Modes: Use the "Visualization Group" setting to toggle between focused views like "Core," "Pivots," or "All" to keep your charts clean.
### Release Notes (v2.0)
Pine Script v6 Migration: Optimized for the latest engine performance.
Zero Repaint: All signals are confirmed on bar close.
Advanced UI: Added a dynamic Info Table for real-time P&L tracking and ADX strength monitoring.
PVV Trading System3 signals into one.
Multi Time Frame Trend analysis.
Settings are for a Daily chart.
Trend Highway + OB + EMA + Market Structure📘 User Guide: Neon Trend Highway (All-in-One System)
"The complete all-in-one solution: Trend, Entries, and Market Structure."
This indicator is designed to declutter your chart by combining essential tools into a high-visibility Neon theme. It cuts out the noise, leaving only what is necessary for real trading.
1. Visual Guide (Interface) 🎨
A. The Highway The colored ribbon that follows the price, used to identify the "Main Direction."
🟢 Neon Green: Market is Uptrend → Focus on Buy/Long.
🔴 Neon Red: Market is Downtrend → Focus on Sell/Short.
🟠🟡 Orange / Yellow: Market is Consolidating or Reversing → Caution: Wait for a clear direction.
B. Key EMAs Used to filter the major trend and act as dynamic Support/Resistance.
🟡 Yellow Line (EMA 50): Medium-term trend.
⚪️ White Line (EMA 200): Long-term trend (The Bull/Bear Divider).
Price above White Line = Bullish bias.
Price below White Line = Bearish bias.
C. Trend Memory / Chop Filter Small dots appearing above or below candles to confirm momentum strength.
🟢 Green Dot: Confirms Buying Pressure (Support Momentum).
🔴 Red Dot: Confirms Selling Pressure (Resistance Momentum).
D. Structure & OB (Smart Money Concept)
BOS / CHoCH Lines: Thin lines indicating a Break of Structure, signaling trend continuation.
Order Blocks (Boxes):
🟩 Faint Green Box: Demand Zone (Key Support).
🟥 Faint Red Box: Supply Zone (Key Resistance).
2. Entry Signals 🚀
The system automatically calculates and labels entry points:
🟢 Label "BrkUP" (Break Up):
Appears when price breaks out of a consolidation range upwards.
Action: Consider opening Buy / Long.
🔴 Label "BrkDN" (Break Down):
Appears when price breaks out of a consolidation range downwards.
Action: Consider opening Sell / Short.
➕ Label "Add+":
Signal to "Scale-in" (Add position).
Appears when the trend remains strong, price retraces, and then continues. A safe point to increase profit potential.
3. Stop Loss & Exit Strategy 🛡️
❌ Red Cross (Unified SL):
This is the Trailing Stop Loss calculated dynamically by the system.
How to use: If a candle "Closes" past this Red Cross, Cut Loss immediately to limit risk.
4. Strategy Checklist ✅
📈 Bullish Setup (Uptrend)
Check 1: Candle is above the EMA 200 (White line).
Check 2: The Highway turns Green.
Trigger: Wait for a BrkUP or Add+ signal.
Confirm: (Optional) Look for Green Dots or a Green OB acting as support below for higher accuracy.
SL: Set at the latest Red Cross.
📉 Bearish Setup (Downtrend)
Check 1: Candle is below the EMA 200 (White line).
Check 2: The Highway turns Red.
Trigger: Wait for a BrkDN or Add+ signal.
Confirm: (Optional) Look for Red Dots or a Red OB acting as resistance above for higher accuracy.
SL: Set at the latest Red Cross.
5. How to Read the Dashboard 📊
Bottom Right: Trend System Stats
Win Rate: Win/Loss percentage of past signals (Calculated on bar close).
W / L: Total Win count / Loss count.
Est. Cycle PNL: Estimated Profit/Loss of the current trend cycle (in Points). If Blue/Positive, the current signal is in profit.
Top Right: Market Structure
Displays the Market Structure status (Percentage of Bullish vs Bearish) to keep you aligned with the bigger picture.
⚠️ Important Notes:
Signals are valid only on "Bar Close" (Do not enter while the candle is still moving/blinking).
Avoid trading or reduce position size when the Highway is Orange/Yellow (Sideways market).
This system is a decision-support tool; always practice strict Money Management.
Bias Daily (with Alerts)This indicator draws bullish/bearish bias lines from prior candles and sends alerts when price breaks the previous candle’s high or low. It’s non-repainting, works on all timeframes, and helps you spot momentum shifts and breakouts early.
Phantom Support & Resistance Auto [PT-IND-SR.001]Overview
Phantom Support & Resistance Auto is a context-focused support and resistance indicator designed to visualize price interaction zones derived from multiple market behaviors.
The script does not generate buy or sell signals.
Instead, it provides a structured map of potential reaction areas, allowing traders to better understand where price has historically reacted, consolidated, or extended liquidity.
This indicator is intended to be used as a decision-support and contextual analysis tool, not as a standalone trading system.
How the Script Works
The indicator combines several independent but complementary methods of identifying support and resistance.
Each method captures a different type of market behavior, and all components can be enabled or disabled independently.
1) High / Low Zones (Range Extremes)
This module tracks the highest high and lowest low over a configurable lookback period.
These levels represent recent range boundaries, which often act as reaction zones during consolidation or pullbacks.
They are visualized as extended horizontal levels to preserve historical context.
2) Pivot Zones (Filtered & Merged Levels)
Pivot zones are derived from confirmed pivot highs and lows.
To avoid excessive and overlapping levels, the script applies a merge tolerance based on either:
ATR distance, or Percentage distance from price
Nearby pivot levels are merged into a single zone, and each zone tracks how many times price has interacted with it.
This interaction count adjusts visual strength, creating a relative importance hierarchy rather than treating all levels equally.
An optional higher-timeframe source can be used to project structurally significant levels onto lower timeframes.
3) Wick Liquidity Zones
This module detects candles with disproportionately large wicks relative to their bodies.
Such candles often indicate liquidity grabs, stop runs, or rejection areas.
Detected wick levels are extended forward to highlight areas where liquidity was previously absorbed.
This component focuses on price rejection behavior, not trend direction.
4) PR Levels (Volatility-Adjusted Predicted Ranges)
PR levels are derived from a volatility-adjusted average price model.
Using ATR as a normalization factor, the script calculates a central average along with upper and lower projected zones.
These levels are adaptive, expanding and contracting with volatility, and are intended to represent probabilistic price ranges, not fixed targets.
5) MACD-Based Support & Resistance (Heikin Ashi Source)
This module derives dynamic support and resistance levels based on MACD momentum shifts, calculated from Heikin Ashi price data to reduce noise.
When MACD momentum transitions occur, recent highs and lows are captured and projected as potential reaction zones.
This component focuses on momentum-driven structural changes, rather than static price levels.
Why These Components Are Combined
Each component captures a different dimension of market behavior:
High / Low zones → Range extremes
Pivot zones → Structural reaction points
Wick zones → Liquidity and rejection behavior
PR levels → Volatility-normalized price ranges
MACD S&R → Momentum-based structural shifts
By combining these sources, the indicator provides a layered view of support and resistance, allowing traders to evaluate confluence, alignment, or divergence between different types of levels instead of relying on a single method.
The script does not assume all levels are equal; visual weighting helps distinguish structural levels from situational ones.
Visualization & Outputs
Color-coded horizontal zones with strength-based opacity
Optional glow effects for visual clarity
Independent toggles for each S&R source
A table showing percentage distances between projected PR levels, helping users contextualize price location within its current range
All visual components are configurable and can be selectively disabled to reduce chart clutter.
How to Use
Use this indicator as a context and mapping tool
Observe areas where multiple zone types align for higher contextual significance
Combine with your own entry logic, confirmations, and trade management rules
Suitable for multi-timeframe analysis and market structure studies
Risk Management Notice
This indicator should always be used as part of a well-defined risk management plan.
Support and resistance zones represent areas of potential interaction, not guaranteed reactions.
Users are responsible for applying appropriate:
Position sizing
Stop placement
Risk-to-reward rules
The indicator does not manage risk automatically and should not replace proper risk management practices.
What This Script Is NOT
It is not a buy/sell signal generator
It does not predict future price direction
It does not guarantee reactions at every level
It should not be used as a standalone trading strategy
Originality & Purpose
The originality of this script lies in its structured integration of multiple support and resistance methodologies, each preserved as a distinct analytical layer rather than blended into a single opaque output.
The purpose is to help traders understand where price has interacted with liquidity, structure, and volatility, not to automate trade decisions.






















