트렌드 어낼리시스
RFSIRFSI (Relative Force Strength Index) is a technical indicator that measures the relative strength of an asset compared to a benchmark (default: SPY - S&P 500 ETF). It helps identify performance divergences and generate entry/exit signals based on crossovers.
RFSI (Relative Force Strength Index) est un indicateur technique qui mesure la force relative d'un actif par rapport à un benchmark (par défaut : SPY - ETF S&P 500). Il permet d'identifier les divergences de performance et de générer des signaux d'entrée/sortie basés sur des croisements.
Andean Oscillator (Version 3.0 Sr.K)Andean Oscillator (Version 3.0 Sr.K)
This indicator is a momentum-based oscillator that measures the balance between bullish and bearish pressure.
🔧 How it works:
It calculates two adaptive envelopes around price and derives a "bullish" and "bearish" component.
The oscillator value is simply Bull - Bear, showing which side dominates.
A signal line (EMA of the oscillator) smooths the raw value.
Optionally, ±1σ levels are plotted to highlight statistically strong moves.
📊 What you see:
Histogram: Positive bars = bullish momentum, negative bars = bearish.
Orange Line: Signal line (EMA) used to confirm or anticipate reversals.
Zero Line: The equilibrium point. Crosses of this level signal a shift in market bias.
Green / Red Triangles: Buy and sell signals, either when crossing zero or crossing the signal line (depending on selected mode).
⚡ Early Signal Mode:
When enabled, signals trigger earlier — at the crossover between the oscillator and its signal line — allowing traders to enter potential reversals before a full zero-cross confirmation.
✅ Use cases:
Identify momentum shifts before price reversals.
Spot potential long/short setups with reduced lag.
Combine with price action or support/resistance for confirmation.
⚠️ Note: This is a tool for discretionary/manual trading. It does not open or close trades automatically. Always confirm with your own analysis and risk management.
Pulse FlowPulse Flow is a market structure indicator that extracts the hidden rhythm of price. It combines micro-structure detection with a rule-based trend engine, making waves and turning points visible in real time. Instead of drawing swings by hand or guessing breakouts, Pulse Flow enforces strict, objective rules for what counts as structure.
What it shows
Micro-Structure (Fractals): Internal swings are extracted from baseline crosses (EMA or ALMA). These fractals show how price oscillates inside the wave, providing context for micro pullbacks and internal breaks.
Trend (HH, HL, LH, LL): Pulse Flow uses a finite state machine (FSM) to track the current trend. Every trend represents a wave.
- Confirmed higher highs and higher lows define bullish waves.
- Confirmed lower highs and lower lows define bearish waves.
- When a wave breaks, a new wave begins. Turning points are explicitly marked as WH (wave high) and WL (wave low).
Active Range (RL & RH): The indicator continuously maintains the current range, based on closing prices rather than wicks. This ensures consistent behavior during liquidity events, where extremes are often tested intrabar.
Retracement Levels (0.50 & 0.71): Inside each active range, Pulse Flow plots the midrange and the 0.71 “optimal entry zone,” highlighting areas where pullbacks most often react.
Breakout Confirmation: A breakout is only valid if:
- The close extends beyond RL or RH by at least an ATR-based threshold.
- A second candle confirms the move.
This filters false signals and ensures structural integrity.
How it helps
Pulse Flow helps traders by taking the guesswork out of structure. Instead of debating whether a high or low should count, the indicator applies objective rules and marks every confirmed swing directly on the chart. Each wave is highlighted the moment the trend flips, so you always see where the market has turned and which direction the active wave is heading. The internal fractal structure reveals how price moves within the range, while the explicit HH, HL, LH, and LL points define the external trend. This distinction allows you to make tactical decisions on internal breaks and strategic decisions on external breaks, giving you clarity across timeframes. Because ranges are calculated using closing prices, the levels remain stable even when liquidity sweeps occur, making the indicator reliable in volatile markets. Combined with automatically plotted retracement levels, you gain a consistent framework for spotting likely reaction zones without redrawing lines or relying on subjective judgment.
How it works
Under the hood, Pulse Flow combines two engines. The pivot engine extracts micro swings by tracking how price crosses a baseline, which can be either EMA or ALMA, depending on your settings. Each cross defines a candidate high or low, and together these pivots form the fractal zigzag that represents the market’s micro-structure. On top of this, a finite state machine manages the active range. It tracks the range high and range low, validates breakouts only when price closes beyond these levels with ATR-based confirmation, and waits for a pullback before locking in the new structure. When the FSM confirms a new trend, Pulse Flow explicitly marks the turning point as a wave high or wave low. In this way, every confirmed HH, HL, LH, and LL is not a guess but the logical outcome of strict structural rules. The interaction between pivots and the FSM creates a complete and consistent map of the market’s waves, from micro oscillations to macro trend shifts.
Summary
Pulse Flow extracts micro-structure, defines waves, and highlights turning points. It shows the active range with key retracement levels and confirms breakouts with ATR + candle logic. By using closing prices to define RL/RH, it stays consistent even through liquidity sweeps.
For traders who trade based on structure, Pulse Flow is not just another tool. It is a framework: a rule-based map of how markets actually move in waves.
Vortex Filter PATThe Vortex Filter is your guide to smarter trend trading and position scaling. This indicator goes beyond simple buy/sell signals by identifying a critical zone for potential averaging, allowing you to improve your position and risk management in real-time.
A clear 'Long' or 'Short' signal is generated when a new trend is confirmed. When the price pulls back into the specially defined averaging zone, you receive a signal to "BUY" or "SELL" consider adding to your position. This two-tiered approach to market entry and management is a game-changer for traders who want to build profitable positions and manage risk effectively
Cumulative Outperformance | viResearchCumulative Outperformance | viResearch
Conceptual Foundation and Innovation
The "Cumulative Outperformance" indicator by viResearch is a relative strength analysis tool designed to measure an asset’s cumulative performance against a chosen benchmark over a user-defined period. Rooted in comparative return analysis, this indicator allows traders and analysts to assess whether an asset is outperforming or underperforming a broader market or sector, offering insights into trend strength and leadership.
Unlike traditional relative strength indicators that may rely on static ratio comparisons, this script uses cumulative return differentials to provide a more contextual understanding of long-term performance trends. A clean visual representation and dynamic text summary are provided to highlight not only the degree of outperformance but also the directional status — making it accessible to both novice and advanced users.
Technical Composition and Calculation
The indicator compares the cumulative returns of the selected asset and a benchmark symbol over a specified lookback period (length). Returns are calculated as the percent change from the current price to the price length bars ago.
This differential is plotted and color-coded, with a baseline zero line to make outperformance and underperformance visually distinct. A dynamic table in the bottom-right corner displays real-time values for the benchmark symbol, the current outperformance percentage, and a status label (e.g., "Outperforming", "Underperforming", or "Even").
Additionally, a floating label is plotted directly on the chart to make the latest outperformance value immediately visible.
Features and User Inputs
The script includes the following customizable inputs:
Start Date: Defines the point from which to begin tracking outperformance data.
Length: The period over which cumulative returns are measured.
Benchmark Symbol: Select any market index, stock, or crypto as the benchmark (e.g., INDEX:BTCUSD, SPX, etc.).
Practical Applications
This indicator is especially effective in:
Identifying Market Leaders: Compare sectors, stocks, or altcoins against a leading benchmark to identify outperformers.
Sector Rotation Strategies: Monitor when certain assets begin to outperform or lag behind the broader market.
Cross-Market Analysis: Compare crypto pairs, equities, or commodities to their sector benchmarks to find relative strength opportunities.
Visual Aids and Alerts
A purple outperformance line highlights the degree of cumulative difference.
A horizontal dotted white line marks the baseline (zero performance difference).
Real-time table overlay updates the benchmark name, performance delta, and relative status.
Alerts are built-in to notify users when assets begin to outperform or underperform, helping you stay ahead of major shifts.
Advantages and Strategic Value
Benchmark Flexibility: Analyze any asset class against any benchmark of your choice.
Visual Clarity: Dynamic labels and tables make performance tracking intuitive and immediate.
No Repainting: Calculations are based on closed bar data for consistent backtesting and real-time use.
Summary and Usage Tips
The "Cumulative Outperformance | viResearch" script offers a clean and effective way to visualize relative strength between any asset and its benchmark. By focusing on cumulative returns over time, it filters out short-term noise and gives a strategic view of long-term strength or weakness. Use this tool in combination with other momentum or trend-following indicators to refine your market entries and asset selection.
Note: Backtests are based on past results and are not indicative of future performance.
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES
This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates.
Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions.
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KEY FEATURES
Daily sweep logic: previous day high/low as liquidity reference
VWAP with cumulative calculation
Adjustable range breakout levels
Optional SMA trend filter
Session filter (London / NY trading hours)
Pre-Signal markers (early alert before breakout)
Confirmed LONG/SHORT signals after breakout close
Alerts for Pre-Long, Pre-Short, and Confirmed entries
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HOW TO USE
1. Wait for price to sweep the previous day high/low.
2. Look for alignment with VWAP and the defined range breakout levels.
3. Use trend/session filters for higher accuracy.
4. Combine with your own risk management rules.
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SETTINGS TIPS
Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes).
Enable/disable session filters depending on your market.
Use SMA trend filter to stay aligned with higher-timeframe bias.
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WHO IT’S FOR
Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout.
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NOTES
For educational purposes only. No financial advice.
This script is open-source; redistribution follows TradingView rules.
Specter Trend Cloud [ChartPrime]⯁ OVERVIEW
Specter Trend Cloud is a flexible moving-average–based trend tool that builds a colored “cloud” around market direction and highlights key retest opportunities. Using two adaptive MAs (short vs. long), offset by ATR for volatility adjustment, it shades the background with a gradient cloud that switches color on trend flips. When price pulls back to retest the short MA during an active trend, the script plots diamond markers and extends dotted levels from that retest price. If price later breaks through that level, the extension is terminated—giving traders a clean visual of valid vs. invalid retests.
⯁ KEY FEATURES
Multi-MA Core Engine:
Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the base. The indicator tracks both a short-term MA (Length) and a longer twin (2 × Length).
Volatility-Adjusted Offset:
Both MAs are shifted by ATR(200) depending on trend direction—pulling them down in uptrends, up in downtrends—so the cloud reflects realistic breathing room instead of razor-thin bands.
Gradient Trend Cloud:
Between the two shifted MAs, the script fills a shaded region:
• Aqua cloud = bullish trend
• Orange cloud = bearish trend
Gradient intensity increases toward the active edge, providing a visual sense of strength.
Trend Flip Logic:
A flip occurs whenever the short MA crosses above or below the long MA. The cloud instantly changes color and begins tracking the new regime.
Retest Detection:
During an ongoing trend (no flip), if price retests the short MA within a 5-bar “cooldown,” the tool:
• Marks the retest with diamond shapes below/above the bar.
• Draws a dotted horizontal line from the retest price, extending into the future.
Automatic Level Termination:
If price later closes through that dotted level, the line disappears—keeping only active, respected retest levels on your chart.
⯁ HOW IT WORKS (UNDER THE HOOD)
MA Calculations:
ma1 = MA(src, Length), ma2 = MA(src, 2 × Length).
Trend = ma1 > ma2 (bull) or ma1 < ma2 (bear).
ATR shift offsets both ma1 and ma2 by ±ATR depending on trend.
Cloud Fill:
Plots ma1 and ma2 (invisible for long MA). Uses fill() with semi-transparent aqua/orange gradient between the two.
Retest Logic:
• Bullish retest: ta.crossover(low, ma1) while trend = bull.
• Bearish retest: ta.crossunder(high, ma1) while trend = bear.
Only valid if at least 5 bars have passed since last retest.
When triggered, it stores bar index and price, draws diamonds, and extends a dotted line.
Level Clearing:
If current high > retest upper line (bearish case) or low < retest lower line (bullish case), that line is deleted (stops extending).
⯁ USAGE
Use the cloud color as the higher-level trend bias (aqua = long, orange = short).
Look for diamonds + dotted lines as pullback/retest zones where trend continuation may launch.
If a retest level holds and price rebounds, it strengthens confidence in the trend.
If a retest level is broken, treat it as a warning of weakening trend or possible reversal.
Experiment with MA Type (SMA vs. EMA, etc.) to align sensitivity with your asset or timeframe.
Adjust Length for faster flips on low timeframes or smoother signals on higher ones.
⯁ CONCLUSION
Specter Trend Cloud combines trend detection, volatility-adjusted shading, and retest visualization into a single tool. The gradient cloud provides instant clarity on direction, while diamonds and dotted retest levels give you tactical entry/retest zones that self-clean when invalidated. It’s a versatile trend-following and confirmation layer, adaptable across multiple assets and styles.
Chhatrapati Indicator by TradeNitiX (Nitin Hajare)⚔️ Chhatrapati Indicator by TradeNitiX
A precision-driven trading system built to capture strong trends and avoid market noise. It blends range filtering, momentum checks, and volatility-based risk control for clean, confident entries and exits.
🔍 Core Strategy Components
1. Range Filter – Trend Detection
2. RSI – Momentum Confirmation
3. ADX – Trend Strength Filter
4. ATR – Volatility-Based Risk Management
💎 Highlights – Chhatrapati Indicator
✔ Display Profit/Loss values above each candle
✅ Clear Buy/Sell Signals – No guesswork, just precision entries and exits
📊 High Accuracy – Filters out false signals using multi-layer confirmation
⚡ Beginner-Friendly – Simple logic, powerful results for all skill levels
🔥 Multi-Market Compatibility – Works seamlessly on Forex, crypto, indices, stocks
🎯 Volatility-Based Risk Control – ATR-driven SL/TP for realistic, dynamic targets
🧠 Smart Trend Detection – Combines range filtering with ADX for strong setups
💡 Live Trade Demos – Real-time examples to build trader confidence
📈 Momentum + Strength Filters – RSI + ADX combo avoids weak or choppy trades
🛡️ Risk-Reward Focused – Built-in 3:1 RR logic for disciplined growth
🚀 Tested & Trusted – Proven results across multiple market conditions
⚙️ Key Advantages of Chhatrapati Indicator
✅ Noise-Free Trend Detection – Filters weak moves, locks onto strong trends
📊 RSI + ADX Confirmation – Only trades with real momentum and strength
🎯 ATR-Based Risk Control – Smart SL/TP placement, adapts to volatility
⏱️ Multi-Timeframe Ready – Works for scalping, swing, and intraday setups
👁️ Visual Clarity – Clean signals, SL/TP zones, and trend markers
🎯 Ideal Users
✔ Trend Followers – Ride strong moves with confidence
✔ Swing Traders – Target medium-term setups with solid RR
✔ Scalpers – Quick, precise entries with minimal noise
✔ Algo Traders – Use alerts for automated execution
ICT Turtle Soup (Riz)The ICT Turtle Soup Complete System is an advanced implementation of the Inner Circle Trader's interpretation of the classic Turtle Soup pattern, designed to identify and trade liquidity sweeps at key market levels. This strategy capitalizes on the systematic stop-loss hunting behavior of institutional traders by detecting when price temporarily breaches significant support/resistance levels to trigger retail stop-losses, then quickly reverses direction.
Core Trading Logic
Liquidity Sweep Detection Method
The strategy monitors five critical liquidity pools where retail traders commonly place stop-loss orders:
⦁ Yesterday's High/Low: Previous daily session extremes
⦁ Daily High/Low: Rolling 20-day period extremes
⦁ 4-Hour High/Low: 30-period extremes on 4H timeframe
⦁ 1-Hour High/Low: 50-period extremes on hourly timeframe
⦁ Recent High/Low: Current timeframe extremes (20-40 bars based on trading mode)
Entry Signal Generation Process
Buy Signal (Sell-Side Liquidity Sweep):
1. Price penetrates below a key support level by a minimum threshold (5-15 ticks depending on signal quality settings)
2. The penetration bar must show strong rejection with at least 30-50% of the candle's range closing back above the swept level
3. Multi-timeframe confirmation checks for structure shift on lower timeframe (break of recent swing high)
4. Confluence scoring system evaluates 7 factors, requiring minimum 3 confirmations:
⦁ Liquidity sweep detected (weighted 2x)
⦁ Higher timeframe bullish market structure
⦁ Lower timeframe bullish break of structure
⦁ Bullish Fair Value Gap presence
⦁ Bullish Order Block formation
⦁ ICT Kill Zone timing alignment
Sell Signal (Buy-Side Liquidity Sweep):
Mirror opposite of buy signal logic, detecting sweeps above resistance levels with bearish rejection.
Risk Management & Position Sizing
Stop Loss Placement:
⦁ Calculated using ATR (Average True Range) multiplied by an adaptive factor
⦁ Base multipliers: Scalping (1.0x), Day Trading (1.5x), Swing Trading (2.0x)
⦁ Further adjusted by signal quality: Conservative (-20%), Balanced (0%), Aggressive (+20%)
⦁ Positioned beyond the liquidity sweep point to avoid re-sweeping
Take Profit Targets:
⦁ TP1: 2.0R (Risk-Reward ratio)
⦁ TP2: 3.5R
⦁ TP3: 5.0R
⦁ All levels rounded to tick precision for accurate order placement
Advanced Features & Filters
Multi-Timeframe Structure Analysis
The system performs top-down analysis across three timeframes:
⦁ Higher Timeframe (HTF): Determines primary trend bias
⦁ Medium Timeframe (MTF): Confirms intermediate structure
⦁ Lower Timeframe (LTF): Identifies precise entry triggers
ICT Kill Zones
Incorporates time-based filtering for optimal trading sessions:
⦁ Asian Session (8PM-12AM UTC)
⦁ London Session (2AM-5AM UTC)
⦁ New York Session (7AM-10AM UTC)
⦁ London Close (10AM-12PM UTC)
Smart Money Concepts Integration
⦁ Fair Value Gaps (FVG): Identifies and displays price inefficiencies that act as magnets
⦁ Order Blocks: Marks institutional accumulation/distribution zones
⦁ Mitigation Detection: Automatically removes FVGs and Order Blocks when price fills them
⦁ Duplicate Sweep Prevention: 10-bar lookback prevents multiple signals at same level
Adaptive Trading Modes
Three pre-configured modes automatically adjust all parameters:
⦁ Scalping: Tight stops, quick targets, 15-minute to 1-hour focus
⦁ Day Trading: Balanced approach, 4-hour to daily analysis
⦁ Swing Trading: Wide stops, extended targets, daily to weekly perspective
⦁ Custom Mode: Full manual control of all parameters
Signal Quality Management
⦁ Conservative: Requires 5/7 confluence factors, tighter sweep threshold (5 ticks), 50% minimum rejection
⦁ Balanced: Standard 3/7 confluence, moderate threshold (10 ticks), 30% rejection
⦁ Aggressive: Only 2/7 confluence needed, wider threshold (15 ticks), 20% rejection
Visual Components & Dashboard
Real-Time Information Panel
Displays current market conditions including:
⦁ Active trading mode and quality settings
⦁ Timeframe configuration (HTF/MTF/LTF)
⦁ Market bias from higher timeframes
⦁ Current kill zone status
⦁ Liquidity sweep detection status
⦁ Confluence scoring for both directions
⦁ Risk parameters and targets
Trade Visualization
⦁ Entry, stop-loss, and three take-profit levels with precise price labels
⦁ Automatic cleanup when targets are hit or new signals appear
⦁ Maximum of one active setup displayed for chart clarity
⦁ Color-coded boxes for Fair Value Gaps and Order Blocks
How to Use This Indicator
Recommended Timeframes
⦁ Scalping Mode: 1-minute to 5-minute charts
⦁ Day Trading Mode: 5-minute to 15-minute charts
⦁ Swing Trading Mode: 1-hour to 4-hour charts
Optimal Market Conditions
⦁ Works best in ranging or trending markets with clear support/resistance levels
⦁ Most effective during high-liquidity sessions (London/New York overlap)
⦁ Avoid using during major news events unless specifically targeting news-driven sweeps
Signal Interpretation
1. Wait for triangle signal (up/down) with confluence score
2. Verify the swept level shown in the dashboard
3. Confirm risk-reward ratios match your trading plan
4. Enter at market or set limit order at indicated entry level
5. Place stop-loss and take-profit orders at displayed levels
Customization Tips
⦁ Adjust Signal Quality based on market volatility (Conservative for volatile, Aggressive for quiet)
⦁ Modify sweep threshold if getting too many/few signals
⦁ Toggle individual liquidity levels based on their relevance to your timeframe
⦁ Use Kill Zone filter for session-specific trading
Risk Disclaimer
This indicator identifies potential trade setups based on liquidity sweep patterns but does not guarantee profitable outcomes. Past performance does not indicate future results. Always use proper risk management and never risk more than you can afford to lose. The indicator should be used as part of a comprehensive trading plan that includes your own analysis and risk tolerance assessment.
Delta Pro -> PROFABIGHI_CAPITAL🌟 Overview
This Delta Pro → PROFABIGHI_CAPITAL implements an advanced delta analysis framework combining price delta calculations with RSI-of-momentum analysis, volume-weighted directional pressure measurement, and cumulative volume delta tracking for comprehensive order flow assessment.
It provides Price Delta calculation with RSI-of-Delta analysis using nine advanced smoothing methodologies for momentum-of-momentum assessment , Volume Delta approximation using volume weighted by price direction for buying/selling pressure identification , Cumulative Volume Delta (CVD) tracking with dynamic histogram visualization for long-term order flow trends , and Dual-mode display system enabling toggle between price delta and RSI-of-delta visualization for professional market microstructure analysis.
🔧 Advanced Delta Pro Architecture Framework
- Professional market microstructure analysis system integrating price momentum with volume-weighted directional analysis and RSI-based momentum assessment
- Grouped Input Organization separating Price Delta Calculation, RSI of Price Delta Settings, Display Options, and Volume Delta Options for streamlined configuration
- Source Configuration Framework enabling close, open, high, low, or composite price inputs for flexible delta calculation adaptation
- Period Management System with adjustable lookback periods for price delta calculation affecting both momentum and volume delta analysis
- Overlay Integration Design optimized as separate pane indicator with volume formatting for dedicated delta analysis focus
- Professional Timeframe Support enabling multi-timeframe delta analysis for different market perspective assessments
📊 Price Delta Implementation Engine
- Period-Based Delta Calculation measuring price difference between current bar and specified periods ago for momentum foundation
- Configurable Source Selection supporting different price inputs for various delta calculation approaches and market analysis
- Null Value Protection ensuring continuous calculation through proper handling of undefined historical values and edge cases
- Dynamic Color Coding using teal for positive price delta and maroon for negative price delta with optimized transparency
- Conditional Display Logic showing price delta only when RSI-of-delta mode is disabled for clean visualization switching
- Zero Line Reference providing conditional zero line display specifically for price delta analysis context
📈 RSI-of-Delta Advanced Framework
- RSI Calculation on Delta Values applying traditional RSI methodology to price delta instead of direct price for momentum-of-momentum analysis
- Dual-Layer Smoothing System providing primary and secondary moving average smoothing with nine advanced smoothing methodologies
- Advanced Moving Average Support including SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA for comprehensive signal refinement
- VIDYA Volatility Adaptation implementing Variable Index Dynamic Average with configurable volatility lookback for market condition responsiveness
- Dual-MA Comparison Mode enabling crossover analysis between two independently smoothed RSI-of-delta lines for advanced signal generation
- RSI Level Configuration providing configurable overbought (70) and oversold (30) levels with middle line (50) reference
- Conditional Color System using performance-based coloring with green for bullish crossovers, red for bearish crossovers, and level-based coloring
🔄 Volume Delta Calculation Engine
- Price Direction Analysis using mathematical sign function to determine positive or negative price movement for volume weighting
- Volume Weighting System multiplying volume by price direction sign for approximated buying versus selling pressure measurement
- Sign Variable Management maintaining price direction state for consistent volume delta calculation across bars
- Null Value Handling ensuring continuous volume delta calculation through proper mathematical validation and error prevention
- Histogram Visualization displaying volume delta as bars with green for buying pressure and red for selling pressure indication
- Independent Display Control allowing users to show or hide volume delta independently of other components for focused analysis
📉 Cumulative Volume Delta (CVD) Framework
- Running Sum Calculation maintaining cumulative total of all volume delta values for long-term order flow trend identification
- Dynamic Color System comparing current CVD with previous bar to determine rising or falling cumulative pressure patterns
- Histogram Style Display presenting CVD as histogram bars for immediate visual impact assessment and trend recognition
- Trend Direction Visualization using green for rising CVD and red for falling CVD with transparency optimization for clarity
- Historical Comparison Logic implementing proper previous bar comparison with null value protection for accurate trend determination
- Independent Activation Control enabling selective CVD display for users focusing on specific aspects of order flow analysis
🎨 Comprehensive Display Control System
- Dual-Mode Visualization enabling toggle between Price Delta display and RSI-of-Delta display for different analytical perspectives
- Grouped Settings Organization separating Price Delta Calculation, RSI Settings, Display Options, and Volume Options for intuitive configuration
- Conditional Plotting Logic displaying components only when specifically enabled to optimize chart performance and visual clarity
- Professional Color Scheme using market-standard colors with appropriate transparency levels for clear visual hierarchy and readability
- Context-Sensitive Reference Lines showing relevant zero lines and RSI levels based on current display mode selection
- Raw RSI Background Display optionally showing unsmoothed RSI values when smoothing is applied for comparison analysis
⚙️ Advanced Moving Average Implementation
- Nine Smoothing Methodologies supporting SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA for comprehensive signal processing
- VIDYA Implementation using Variable Index Dynamic Average with volatility-based adaptation for market condition responsiveness
- DEMA and TEMA Calculations implementing Double and Triple Exponential Moving Averages for reduced lag and improved signal quality
- Hull Moving Average Support providing fast and smooth HMA calculations for trend-following applications with minimal lag
- Linear Regression Integration using LSMA for trend-based smoothing with mathematical precision and directional bias
- Fallback Logic Framework ensuring continuous operation when smoothing calculations encounter edge cases or insufficient data
- Dual-Layer Smoothing Architecture enabling independent configuration of primary and secondary smoothing for crossover analysis
📋 Professional Configuration Framework
- Price Delta Calculation Group organizing source selection and period configuration with detailed tooltips for user guidance
- RSI of Price Delta Settings providing comprehensive RSI configuration including period, smoothing options, and level settings
- Display Options Group centralizing visualization controls with clear explanations for mode switching and component selection
- Volume Delta Options Group separating volume-related settings for focused volume analysis configuration and control
- Input Validation Framework ensuring minimum period values and proper parameter selection for reliable calculations
- Tooltip Documentation System offering comprehensive explanations for each setting to guide proper indicator utilization
🔍 Mathematical Implementation Excellence
- Accurate Delta Calculations using proper arithmetic operations for price difference measurement over specified periods with precision
- RSI Mathematical Precision applying standard RSI formulation to delta values with proper gain/loss averaging methodology
- Sign Function Implementation correctly applying mathematical sign determination for price direction analysis and volume weighting
- Volume Multiplication Accuracy precisely weighting volume values by price direction for accurate delta approximation calculations
- Cumulative Sum Precision maintaining accurate running totals using Pine Script's cumulative function with proper initialization
- VIDYA Volatility Calculations implementing proper volatility-based adaptation with mathematical accuracy and edge case handling
- Advanced MA Mathematical Framework ensuring accurate DEMA, TEMA, and other complex moving average calculations
🎯 Market Microstructure Applications
- Order Flow Analysis identifying buying versus selling pressure through volume-weighted price direction assessment and trend analysis
- Momentum-of-Momentum Assessment using RSI-of-delta for identifying acceleration and deceleration in price momentum patterns
- Trend Identification Enhancement leveraging CVD trends to identify long-term accumulation or distribution patterns in market structure
- Volume Profile Integration combining volume data with price direction for comprehensive market microstructure analysis capabilities
- Support/Resistance Validation using delta analysis to confirm or challenge traditional technical analysis levels with order flow context
- Divergence Detection Framework comparing price movement with volume delta and RSI-of-delta patterns for reversal identification
⚡ Performance Optimization Features
- Conditional Plotting Logic displaying only enabled components to optimize chart rendering performance and reduce computational load
- Efficient Variable Management using appropriate variable scoping and initialization for minimal memory usage and optimal processing
- Optimized Color Assignment pre-calculating colors and applying transparency efficiently for smooth visual performance rendering
- Streamlined Calculation Sequences organizing mathematical operations for minimal redundant computation and optimal processing speed
- Dynamic Display Updates providing real-time delta values with immediate visual feedback without compromising performance
- Resource-Conscious Mode Switching activating calculations only when components are displayed to maintain indicator efficiency
🎨 Professional Visualization Framework
- Mode-Specific Color Coding using different color schemes for price delta mode versus RSI-of-delta mode for immediate context recognition
- Transparency Optimization applying appropriate transparency levels for clear visual hierarchy without overwhelming chart information
- Multiple Plot Style Integration implementing line plots for delta/RSI analysis and histogram plots for volume analysis
- Conditional Reference Lines displaying relevant zero lines and RSI levels based on current visualization mode selection
- Background Raw Data Display optionally showing unsmoothed RSI values when smoothing is applied for analytical comparison
- Professional Chart Integration maintaining separate pane layout with proper scaling and formatting for dedicated analysis focus
🔧 Technical Implementation Framework
- Variable Declaration Organization properly declaring color variables and state management variables for clean code structure and maintainability
- Function Library Implementation organizing VIDYA, DEMA, TEMA, and calculateMA functions for modular code architecture
- Calculation Sequence Optimization organizing price delta, RSI-of-delta, volume delta, and CVD calculations in logical processing order
- Plot Management System coordinating multiple plot statements with appropriate conditional logic for efficient rendering
- State Variable Management maintaining sign_price_change and other state variables for consistent calculation across bars
- Error Prevention Architecture incorporating null value checks and mathematical validation for reliable operation under all conditions
✅ Key Takeaways
- Advanced delta analysis framework combining price delta momentum with RSI-of-momentum assessment and volume-weighted directional pressure for comprehensive market microstructure evaluation
- Professional RSI-of-delta implementation with nine advanced smoothing methodologies including VIDYA, DEMA, and TEMA for sophisticated momentum analysis
- Comprehensive volume delta system with CVD tracking and dynamic histogram visualization showing cumulative buying/selling pressure trends over time
- Dual-mode display system enabling seamless switching between price delta visualization and RSI-of-delta analysis for different analytical perspectives
- Mathematical precision implementation using proper delta calculations, RSI formulations, and advanced moving average methodologies with performance optimization
- Professional configuration framework with grouped settings, detailed tooltips, and modular display controls for customized microstructure analysis
- Market applications supporting order flow analysis, momentum acceleration detection, trend identification, and divergence recognition for institutional trading approaches
Short Monday , Long TuesdayKillaxbt create this concept. Often BTC create this pattern:
Monday Short ✔️
Tuesday Long ✔️
Wednesday... Lets give it a test during Asia. Just remember who shared this first. 😉
Thursday is pivot. Depending on the narrative leading into thursday... we determine direction. ⚡️
This concept is graphic, he show where you are and where we can go. He give you a plan for the week
Concept : @killaxbt
Code by @paulbri
MTF EMA Smooth Indicator By : KaizenotradingPH (Open Source)This indicator script can display three different timeframe MTF EMA indicators simultaneously. The special thing of this script is that it has smoothing feature that can smooth the MTF EMA but only in minutes and hours timeframe (script limitation). You can enable the anti repainting as well which reference the previous bar. These features are useful for customize strategies scripts to avoid repainting. Additionally, this script have customizable length for the three MTF EMA indicators.
This is the open source version of the script.
Turnover & RVOL with MA & VWAP This scrip shows
Turnover for the day
Relative Volume
VWAP
Moving Averages
Special : Just hover the cursor over the historic bars to see the values at that point of time instead of using replay option.
Smart Money LITE — Daily Sweep → HQ Signals (VWAP • FVG • CHoCH) 🔗 PRO VERSION (VWAP + FVG + CHoCH — full confirmations, all timeframes):
chartedgepro.gumroad.com/l/rmnbhw
Daily liquidity sweep → confluence signals with VWAP, FVG & CHoCH. Works on all timeframes & markets (Indices, Forex, Crypto).
WHAT IT DOES
Smart Money LITE+ highlights high-quality LONG/SHORT signals only after daily liquidity is swept (previous day high/low) with confluence from VWAP, FVG and structure (BOS/CHoCH).
Works on all timeframes and across markets: indices, forex, crypto.
KEY FEATURES (Lite)
• Daily sweep logic (PDH/PDL) + previous day zones
• VWAP + deviation bands (optional) and proximity filter
• 3-bar FVG boxes (visual) with adjustable extension
• ATR/volatility filter, optional HTF trend filter
• Anti-spam cooldown, clean LONG/SHORT labels
• Alerts: HQ LONG / HQ SHORT
HOW TO USE
1. Wait for price to sweep PDH/PDL → indicator opens “signal window”.
2. Look for confluence: VWAP touch/proximity + CHoCH or BOS in direction.
3. Enter with proper risk management (stop beyond swing/zone, partials).
SETTINGS TIPS
• Enable “Require VWAP Confluence?” for strictest setups.
• Use “HTF Trend Filter?” to align with higher-timeframe EMA trend.
• Adjust “After sweep (bars)” to define signal validity window.
• FVGs are visual in Lite — advanced filtering and confirmation are in Pro.
WHO IT'S FOR
Scalpers, intraday, and swing traders looking for objective, visual signals based on liquidity sweeps and VWAP/FVG confluence.
PRO VERSION (full confirmations)
Adds advanced FVG/iFVG logic, more confluence filters, dynamic risk tools and extended alert packages — optimized for all timeframes.
👉 chartedgepro.gumroad.com/l/rmnbhw
NOTES
• For educational purposes only. No financial advice.
• “Lite” is open-source; redistribution of code follows TradingView rules.
EvoTrend-X Indicator — Evolutionary Trend Learner ExperimentalEvoTrend-X Indicator — Evolutionary Trend Learner
NOTE: This is an experimental Pine Script v6 port of a Python prototype. Pine wasn’t the original research language, so there may be small quirks—your feedback and bug reports are very welcome. The model is non-repainting, MTF-safe (lookahead_off + gaps_on), and features an adaptive (fitness-based) candidate selector, confidence gating, and a volatility filter.
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What it is
EvoTrend-X is adaptive trend indicator that learns which moving-average length best fits the current market. It maintains a small “population” of fast EMA candidates, rewards those that align with price momentum, and continuously selects the best performer. Signals are gated by a multi-factor Confidence score (fitness, strength vs. ATR, MTF agreement) and a volatility filter (ATR%). You get a clean Fast/Slow pair (for the currently best candidate), optional HTF filter, a fitness ribbon for transparency, and a themed info panel with a one-glance STATUS readout.
Core outputs
• Selected Fast/Slow EMAs (auto-chosen from candidates via fitness learning)
• Spread cross (Fast – Slow) → visual BUY/SELL markers + alert hooks
• Confidence % (0–100): Fitness ⊕ Distance vs. ATR ⊕ MTF agreement
• Gates: Trend regime (Kaufman ER), Volatility (ATR%), MTF filter (optional)
• Candidate Fitness Ribbon: shows which lengths the learner currently prefers
• Export plot: hidden series “EvoTrend-X Export (spread)” for downstream use
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Why it’s different
• Evolutionary learning (on-chart): Each candidate EMA length gets rewarded if its slope matches price change and penalized otherwise, with a gentle decay so the model forgets stale regimes. The best fitness wins the right to define the displayed Fast/Slow pair.
• Confidence gate: Signals don’t light up unless multiple conditions concur: learned fitness, spread strength vs. volatility, and (optionally) higher-timeframe trend.
• Volatility awareness: ATR% filter blocks low-energy environments that cause death-by-a-thousand-whipsaws. Your “why no signal?” answer is always visible in the STATUS.
• Preset discipline, Custom freedom: Presets set reasonable baselines for FX, equities, and crypto; Custom exposes all knobs and honors your inputs one-to-one.
• Non-repainting rigor: All MTF calls use lookahead_off + gaps_on. Decisions use confirmed bars. No forward refs. No conditional ta.* pitfalls.
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Presets (and what they do)
• FX 1H (Conservative): Medium candidates, slightly higher MinConf, modest ATR% floor. Good for macro sessions and cleaner swings.
• FX 15m (Active): Shorter candidates, looser MinConf, higher ATR% floor. Designed for intraday velocity and decisive sessions.
• Equities 1D: Longer candidates, gentler volatility floor. Suits index/large-cap trend waves.
• Crypto 1H: Mid-short candidates, higher ATR% floor for 24/7 chop, stronger MinConf to avoid noise.
• Custom: Your inputs are used directly (no override). Ideal for systematic tuning or bespoke assets.
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How the learning works (at a glance)
1. Candidates: A small set of fast EMA lengths (e.g., 8/12/16/20/26/34). Slow = Fast × multiplier (default ×2.0).
2. Reward/decay: If price change and the candidate’s Fast slope agree (both up or both down), its fitness increases; otherwise decreases. A decay constant slowly forgets the distant past.
3. Selection: The candidate with highest fitness defines the displayed Fast/Slow pair.
4. Signal engine: Crosses of the spread (Fast − Slow) across zero mark potential regime shifts. A Confidence score and gates decide whether to surface them.
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Controls & what they mean
Learning / Regime
• Slow length = Fast ×: scales the Slow EMA relative to each Fast candidate. Larger multiplier = smoother regime detection, fewer whipsaws.
• ER length / threshold: Kaufman Efficiency Ratio; above threshold = “Trending” background.
• Learning step, Decay: Larger step reacts faster to new behavior; decay sets how quickly the past is forgotten.
Confidence / Volatility gate
• Min Confidence (%): Minimum score to show signals (and fire alerts). Raising it filters noise; lowering it increases frequency.
• ATR length: The ATR window for both the ATR% filter and strength normalization. Shorter = faster, but choppier.
• Min ATR% (percent): ATR as a percentage of price. If ATR% < Min ATR% → status shows BLOCK: low vola.
MTF Trend Filter
• Use HTF filter / Timeframe / Fast & Slow: HTF Fast>Slow for longs, Fast threshold; exit when spread flips or Confidence decays below your comfort zone.
2) FX index/majors, 15m (active intraday)
• Preset: FX 15m (Active).
• Gate: MinConf 60–70; Min ATR% 0.15–0.30.
• Flow: Focus on session opens (LDN/NY). The ribbon should heat up on shorter candidates before valid crosses appear—good early warning.
3) SPY / Index futures, 1D (positioning)
• Preset: Equities 1D.
• Gate: MinConf 55–65; Min ATR% 0.05–0.12.
• Flow: Use spread crosses as regime flags; add timing from price structure. For adds, wait for ER to remain trending across several bars.
4) BTCUSD, 1H (24/7)
• Preset: Crypto 1H.
• Gate: MinConf 70–80; Min ATR% 0.20–0.35.
• Flow: Crypto chops—volatility filter is your friend. When ribbon and HTF OK agree, favor continuation entries; otherwise stand down.
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Reading the Info Panel (and fixing “no signals”)
The panel is your self-diagnostic:
• HTF OK? False means the higher-timeframe EMAs disagree with your intended side.
• Regime: If “Chop”, ER < threshold. Consider raising the threshold or waiting.
• Confidence: Heat-colored; if below MinConf, the gate blocks signals.
• ATR% vs. Min ATR%: If ATR% < Min ATR%, status shows BLOCK: low vola.
• STATUS (composite):
• BLOCK: low vola → increase Min ATR% down (i.e., allow lower vol) or wait for expansion.
• BLOCK: HTF filter → disable HTF or align with the HTF tide.
• BLOCK: confidence → lower MinConf slightly or wait for stronger alignment.
• OK → you’ll see markers on valid crosses.
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Alerts
Two static alert hooks:
• BUY cross — spread crosses up and all gates (ER, Vol, MTF, Confidence) are open.
• SELL cross — mirror of the above.
Create them once from “Add Alert” → choose the condition by name.
⸻
Exporting to other scripts
In your other Pine indicators/strategies, add an input.source and select EvoTrend-X → “EvoTrend-X Export (spread)”. Common uses:
• Build a rule: only trade when exported spread > 0 (trend filter).
• Combine with your oscillator: oscillator oversold and spread > 0 → buy bias.
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Best practices
• Let it learn: Keep Learning step moderate (0.4–0.6) and Decay close to 1.0 (e.g., 0.99–0.997) for smooth regime memory.
• Respect volatility: Tune Min ATR% by asset and timeframe. FX 1H ≈ 0.10–0.20; crypto 1H ≈ 0.20–0.35; equities 1D ≈ 0.05–0.12.
• MTF discipline: HTF filter removes lots of “almost” trades. If you prefer aggressive entries, turn it off and rely more on Confidence.
• Confidence as throttle:
• 40–60%: exploratory; expect more signals.
• 60–75%: balanced; good daily driver.
• 75–90%: selective; catch the clean stuff.
• 90–100%: only A-setups; patient mode.
• Watch the ribbon: When shorter candidates heat up before a cross, momentum is forming. If long candidates dominate, you’re in a slower trend cycle.
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Non-repainting & safety notes
• All request.security() calls use lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_on.
• No forward references; decisions rely on confirmed bar data.
• EMA lengths are simple ints (no series-length errors).
• Confidence components are computed every bar (no conditional ta.* traps).
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Limitations & tips
• Chop happens: ER helps, but sideways microstructure can still flicker—use Confidence + Vol filter as brakes.
• Presets ≠ oracle: They’re sensible baselines; always tune MinConf and Min ATR% to your venue and session.
• Theme “Auto”: Pine cannot read chart theme; “Auto” defaults to a Dark-friendly palette.
⸻
Publisher’s Screenshots Checklist
1) FX swing — EURUSD 1H
• Preset: FX 1H (Conservative)
• Params: MinConf=70, ATR Len=14, Min ATR%=0.12, MTF ON (TF=4H, 20/50)
• Show: Clear BUY cross, STATUS=OK, green regime background; Fitness Ribbon visible.
2) FX intraday — GBPUSD 15m
• Preset: FX 15m (Active)
• Params: MinConf=60, ATR Len=14, Min ATR%=0.20, MTF ON (TF=60m)
• Show: SELL cross near London session open. HTF lines enabled (translucent).
• Caption: “GBPUSD 15m • Active session sell with MTF alignment.”
3) Indices — SPY 1D
• Preset: Equities 1D
• Params: MinConf=60, ATR Len=14, Min ATR%=0.08, MTF ON (TF=1W, 20/50)
• Show: Longer trend run after BUY cross; regime shading shows persistence.
• Caption: “SPY 1D • Trend run after BUY cross; weekly filter aligned.”
4) Crypto — BINANCE:BTCUSDT 1H
• Preset: Crypto 1H
• Params: MinConf=75, ATR Len=14, Min ATR%=0.25, MTF ON (TF=4H)
• Show: BUY cross + quick follow-through; Ribbon warming (reds/yellows → greens).
• Caption: “BTCUSDT 1H • Momentum break with high confidence and ribbon turning.”
Bull sailor special indicator by Rahul
special indicator for new beginners in stock market to identify support and resistance
SW's Asia/London H/L'sAccurate Asia and London (with other session) High's and Low's. As well as NY Pre-market and opening bell, and end of day vertical lines. Also created 4 slots in UI to be able to set specific vertical lines with custom label options.
Multiple Relative Strength IndicatorThis indicator is used to display multiple Relative strength of a stock compared with another.
Default value for the first Relative strength period is 55
Default value for the second Relative strength period is 21
Default value for the comparable Index is CNX500
You can add the sectorial index for sector comparison
HAZ_10FSuper Trends Bot 10Frams .
A custom indicator that displays enhanced candles with a dynamic signal line and ATR-based alerts.
It highlights market direction using color-coded bars and provides clear buy/sell signals for entries and exits.
Designed for traders who want quick signals and smoother price action with reduced market noise.
Trend + Squeeze High VolatilityGood for High Volatility Stocks and Options
Trend and Squeeze High Volatility
Good For High Volatility Stocks and Options