Auf geht's

Indikatoren und Strategien

Trend FollowingTrend Following is a visual trend-tracking indicator built on multiple exponential moving averages (EMAs) and market-context confirmation. The indicator combines: Slow EMA (50) to define the primary trend Fast EMA (20) for intermediate trend alignment Fastest EMA (9) for timing and sensitivity 200 SMA as a long-term structural reference The moving averages change color dynamically: Green when the MA is rising and price is above it (healthy trend) Red when the MA is falling and price is below it (downtrend) Yellow during transition phases, consolidation, or loss of momentum The chart background is also color-coded to highlight the market regime: Green → bullish bias (trend continuation) Red → bearish bias Black → conflict, correction, or consolidation zones (avoid aggressive entries) Additionally, the script includes: Logic for identifying low-wick candles, indicating directional strength Volume confirmation using a 21-period volume moving average 📌 Indicator purpose: To help traders stay aligned with the dominant trend, avoid low-probability environments, and improve timing on pullbacks and continuation moves. 📈 Best suited for: Trend following Swing trading Position trading Market context and trend confirmation before technical setups ⚠️ This indicator does not generate automated signals. It is designed as a context and confirmation tool and should be used alongside proper risk management and a well-defined trading strategy.
Pine Script® Indikator
von renatosaab
Global Sessions & Kill Zones [jpkxyz]Global Sessions & ICT Kill Zones Indicator Overview The Global Sessions & ICT Kill Zones indicator is a comprehensive trading tool designed to help traders identify and visualize the most critical time periods in the 24-hour forex and futures markets. This indicator combines traditional trading session analysis with Inner Circle Trader (ICT) Kill Zone methodology, providing traders with a complete picture of when institutional activity and liquidity are at their peak. Trading Theory & Foundation Session-Based Trading The forex market operates 24 hours a day across four major trading sessions: Sydney, Tokyo, London, and New York. Each session has distinct characteristics in terms of volatility, liquidity, and price behavior. Understanding these sessions is crucial because: Volatility Patterns: Each session exhibits unique volatility profiles based on which markets are open and which institutional players are active Liquidity Concentration: Major price movements tend to occur when multiple sessions overlap, as more market participants are active simultaneously Market Structure: Session highs and lows often act as key support and resistance levels that price respects throughout the trading day Time-Based Strategies: Many professional traders structure their strategies around specific sessions that align with their preferred instruments and trading style ICT Kill Zones The Inner Circle Trader (ICT) methodology emphasizes specific time windows called "Kill Zones" - periods when institutional algorithms and smart money are most active. These time windows represent optimal trading opportunities because: Institutional Activity: Banks, hedge funds, and large institutions execute their orders during these predictable time windows Algorithmic Trading: Many institutional algorithms are programmed to operate during these specific periods Liquidity Sweeps: Kill Zones often feature stop hunts and liquidity grabs before directional moves Higher Probability Setups: Price is more likely to respect technical levels and follow through on setups during these periods The four ICT Kill Zones are: Asian Kill Zone (00:00-03:00 UTC): Early Asian session institutional activity London Kill Zone (07:00-10:00 UTC): London open and European institutional entry New York Kill Zone (12:00-14:00 UTC): New York open and North American institutional entry London Close Kill Zone (15:00-17:00 UTC): European session close and position squaring What This Indicator Visualizes Trading Session Boxes The indicator draws high-to-low range boxes for each major trading session: Sydney Session (21:00-06:00 UTC): Captures the Australian and early Asian trading activity Tokyo Session (00:00-09:00 UTC): Represents the main Asian trading period London Session (08:00-17:00 UTC): Covers the European trading hours New York Session (13:00-22:00 UTC): Encompasses North American trading activity Each session box displays: The session's high and low price levels Customizable colored borders and fills Labels showing the exact high and low values Real-time updates as price moves within the active session Session Overlaps The indicator automatically identifies and highlights all session overlaps with distinct colored boxes: Sydney/Tokyo Overlap: Asian liquidity concentration Tokyo/London Overlap: Asian-European transition period London/New York Overlap: The most volatile period with maximum liquidity Sydney/New York Overlap: Late US session into early Asian session These overlaps are crucial because they represent periods of increased liquidity when multiple major markets are operating simultaneously, often leading to significant price movements and breakouts. ICT Kill Zones Kill Zones are displayed as vertical background highlights that span the entire chart height during their active periods: Visual clarity: Semi-transparent colored backgrounds that don't obstruct price action Label identification: Each Kill Zone is labeled at its start for easy recognition Overlay capability: Kill Zones overlay on top of session boxes, allowing you to see both simultaneously Independent control: Each Kill Zone can be toggled on/off individually How Traders Can Use This Indicator Entry Timing Wait for Kill Zones: Use Kill Zones as your primary trading windows to increase the probability of institutional support for your trades Session Boundaries: Look for breakouts or reversals at session open/close times when new participants enter the market Overlap Periods: Focus on high-conviction setups during session overlaps when liquidity is highest Support & Resistance Session Highs/Lows: Previous session highs and lows often act as key support/resistance levels Sweep Setups: Watch for price to sweep session highs/lows during Kill Zones, then reverse (liquidity grab) Range Trading: Trade within session ranges during low-volatility periods, breakout during overlaps Risk Management Volatility Awareness: Adjust position sizing based on which session is active (London/NY overlap = highest volatility) Stop Placement: Position stops outside of key session levels to avoid being caught in normal intraday ranges Time-Based Exits: Consider exiting or tightening stops as sessions close and liquidity decreases Strategy Development Session-Specific Strategies: Develop different approaches for different sessions based on your instrument's behavior Kill Zone Confirmation: Require setups to occur within Kill Zones for higher probability trades Backtesting Framework: Use historical session and Kill Zone data to backtest time-based strategies Full Customizability Session Customization Every aspect of each trading session can be customized: Toggle Visibility: Show/hide any session independently Time Adjustment: Modify start and end hours to match your broker's server time or personal preference Color Schemes: Customize box colors and border colors for each session Transparency: Adjust fill transparency to see price action clearly while maintaining visual reference Kill Zone Customization Complete control over ICT Kill Zone display: Individual Toggles: Enable or disable each Kill Zone independently based on your trading style Color Selection: Choose distinct colors for each Kill Zone (default: Green, Blue, Yellow, Red) Transparency Control: All Kill Zones use 70% transparency by default, fully customizable Label Display: Toggle Kill Zone labels on/off via the main label settings Visual Preferences Border Control: Toggle session box borders on/off for cleaner charts Label Size: Choose from tiny, small, normal, large, huge, or auto-sizing for all labels Label Colors: Customize label background and text colors to match your chart theme Box Transparency: Set individual transparency levels for each session and overlap Overlap Customization All four session overlaps have independent color controls: Sydney/Tokyo Overlap Tokyo/London Overlap London/New York Overlap Sydney/New York Overlap Technical Features Midnight Handling The indicator uses advanced hour-based detection that seamlessly handles sessions crossing midnight (like Sydney's 21:00-06:00 UTC timeframe) without breaking the visualization into separate boxes. Real-Time Updates Active Sessions: Boxes extend and update in real-time as price moves during active sessions High/Low Tracking: Session highs and lows are continuously updated until the session closes Kill Zone Detection: Background colors appear/disappear precisely at Kill Zone boundaries Clean Chart Integration Minimal Clutter: Only shows active and recently completed sessions Overlay Friendly: Works seamlessly with other indicators and doesn't obstruct price action Performance Optimized: Efficient code that doesn't slow down chart rendering Ideal For Forex Traders: Track the four major forex sessions and plan trades around overlaps Futures Traders: Identify when specific futures markets have peak activity ICT Students: Implement Inner Circle Trader concepts with visual Kill Zone references Session Traders: Build strategies around specific session characteristics Scalpers & Day Traders: Focus on high-liquidity periods for tighter spreads and better fills Swing Traders: Use session levels as key support/resistance for multi-day trades Best Practices Start Simple: Enable only the sessions and Kill Zones relevant to your instruments Color Code Strategically: Use colors that stand out on your chart theme but don't overwhelm Combine with Price Action: Use session levels and Kill Zones as context, not as standalone signals Match Your Timezone: Adjust session times if your broker uses non-UTC server time Focus on Overlaps: Pay special attention to London/New York overlap for highest-probability setups Journal Performance: Track which sessions and Kill Zones work best for your strategy Conclusion The Global Sessions & ICT Kill Zones indicator provides traders with institutional-grade time-based analysis in a highly customizable, visually clear format. By combining traditional session analysis with modern ICT Kill Zone theory, traders gain a comprehensive understanding of when markets are most likely to move and where key levels are established. Whether you're a scalper looking for the highest liquidity periods or a swing trader using session levels for support/resistance, this indicator adapts to your needs while keeping your charts clean and professional. Trade smarter by trading when the market is most active and predictable.
Pine Script® Indikator
von jpkxyz
SMART TRADER Institutional Trend Engine (ITE)SMART TRADER – Institutional Trend Engine (ITE) Created by Jonathan Mwendwa Ndunge, this indicator is designed for professional traders and institutions seeking a multi-timeframe trend confirmation system. It combines Donchian Channel-based trend analysis across higher, mid, and lower timeframes to provide a directional authority score, highlighting bullish and bearish execution zones. Built with price action and smart money concepts in mind, it helps traders identify high-probability trend-aligned opportunities while filtering out noise.
Pine Script® Indikator
von jonathanmwendwa2021
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction. 🚀 Benefits • Reduced noise through multi-source averaging • Fast response to market changes • Strong performance on volatile assets, especially altcoins (notably CROUSD) 💡 Core Idea The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously. ⚙️ How It Works A fast and a slow moving average are calculated. Multiple intermediate values are derived and averaged to build a highly stable center line. Differences between all components are averaged to estimate volatility. This volatility is added and subtracted from the center line to form dynamic upper and lower bands. The result is adaptive bands that track market structure with high accuracy and reduced lag. 📌 Usage Notes • Best suited for trend detection and dynamic support/resistance. • Bands expanding → volatility increasing. • Bands contracting → market compression or consolidation. • Crosses above/below bands often signal strong directional shifts. Enjoy and trade smart.
Pine Script® Indikator
von MisinkoMaster
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?" The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session. Features & Methodology 1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes: Daily & 4-Hour: Establishes the macro direction. 15-Min & 5-Min: Monitors intraday order flow. Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish. 2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range. Range High & Low: Defining the volatility of the opening hour. Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount). Quadrants (25% & 75%): Deep discount/premium zones for precision entries. 3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading. Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them. Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level. Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet. How to Use This Indicator This tool is designed to identify Confluence: Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green). Wait for 10:30 AM EST: Allow the script to draw the First Hour Range. Trade the Confluence: Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels. Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels. Settings & Customization Dashboard Toggle: Show or hide the table to keep charts clean. Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps. Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles. Credits & Attribution Concept: Inner Circle Trader (Michael Huddleston). Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?" Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
Pine Script® Indikator
von DivergentTrades
ATR/Structure Trail Stop Loss This indicator is a high-performance trend-following tool designed to help traders stay in winning positions for maximum "R" gains. It solves the common problem of getting stopped out too early by combining Volatility (ATR) with Market Structure (Price Action Swings). How it Works The script calculates two different stop-loss levels and automatically chooses the most "conservative" one to protect your capital: ATR Stop: Measures the current market volatility. If the market gets wild, the stop widens. If the market gets calm, the stop tightens. Structure Stop: Looks at the lowest lows (for Longs) or highest highs (for Shorts) of the last few candles. This ensures you don't stay in a trade if the actual price trend breaks. Key Features Hybrid Logic: The stop strictly follows Closing Prices to prevent "wick-outs" from temporary spikes. Trend Dashboard: A real-time table tracks ADX (Trend Power). "RUN IT": High momentum; keep trailing for 12R–30R targets. "TIGHTEN": Momentum is dying; consider locking in profits. Visual Diamonds: Uses a Step-Line style with diamonds to show exactly when your stop-loss "locks in" a new level. How to Use It (Step-by-Step) Entry: Enter your trade based on your standard breakout strategy. Initial Risk: Use the Initial Stop (5 points) until the price moves in your favor. The Trail: Once the trend establishes, follow the Light White Diamonds. Scaling: Use the ATR Multiplier input to adjust the "breathing room." Lower Multiplier (e.g., 1.5): Tighter trail, good for scalp targets. Higher Multiplier (e.g., 2.5+): Wider trail, best for catching 30R monster moves. Exit: Close the position immediately when a candle closes on the opposite side of the diamonds.
Pine Script® Indikator
von khaieconomic
CANDLE STRUCTURE FILTER PRO by HeruprastCandle Structure Filter CANDLE STRUCTURE FILTER PRO is a price-action-based indicator that filters trading signals using candle body strength, wick ratio, and EMA trend alignment. It only generates non-repainting BUY/SELL signals on strong candles with valid structure, aligned with the selected trend EMA, and confirmed by an EMA Gap Filter to avoid sideways or choppy market conditions. Designed for scalping to intraday trading, especially effective on volatile instruments like XAUUSD, with automatic calibration based on timeframe and instrument characteristics.
Pine Script® Indikator
von harur4v3
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Pine Script® Indikator
von BOSWaves
Momentum Average [SWT] Momentum Average (MMA) What is the Momentum Average? This is not your typical trend follower. MMA Pro is an algorithmic convergence tool designed for traders who seek to filter market noise and trade with the true momentum on their side. Its core engine allows you to fuse the "DNA" of up to three different moving averages into a single, high-precision "Master Line." 🛠️ Key Tool Benefits Data Convergence: By averaging up to three different MA types (EMA, SMA, WMA, VWMA, etc.), the indicator eliminates the erratic signals of individual averages, offering a smoothed curve that reacts primarily to institutional movements. Volatility Visualization (Cloud): Thanks to the "Trend Cloud" between the two primary averages, you can immediately visualize price expansion and contraction. Visual Confirmation (Pivot Dots): Identify the exact candle where the market slope shifts, ensuring you stay on the right side of the trend. ⚠️ Usage Philosophy: A Confirmation Tool, Not a Signal Generator It is vital to understand that MMA Pro is not a "blind signal" tool. It is not designed to be traded every time a dot appears. Its true power lies in serving as a high-quality filter and confirmation layer: Bias Validation: Use it to confirm the direction of your primary strategy. If your system gives a "Buy," the MMA Pro should ideally show bullish momentum. Entry Filtering: Avoid entries during "chop" or sideways markets when the "Master Line" is flat or pivot dots are frequently flipping. Exit Management: Many traders use it as a visual Trailing Stop; if the slope changes against your position, it may be time to protect profits. 💡 User Tips: Nasdaq 1m/5m: Try combining an EMA with a VWMA to capture intraday volume averaged with price action. Aesthetics: Customize the "Pivot Dots" colors to match your chart theme (Light/Dark).
Pine Script® Indikator
von ScalpWolfTrader
Shadow Mode Simulator ELITE🎮 SHADOW MODE SIMULATOR — FEATURE GUIDE Think of this as GTA with rules instead of random driving. 🏆 1. A / A+ SETUP GRADING (QUALITY CONTROL) Every entry is graded automatically: ✅ A+ Setup (best XP) Must have: • HTF trend aligned • Liquidity sweep OR perfect pullback • High confidence (4–5) ✅ A Setup (acceptable) Must have: • HTF trend aligned • ONE valid strategy condition ⚠️ B Setup (allowed but low reward) Everything else ❌ Invalid Bad RR or no strategy → XP penalty 👉 This trains selectivity (most traders fail here) 🗺️ 2. AUTO SESSION HEATMAP Background turns green during your trading session. This teaches: ✔ When liquidity is real ✔ When NOT to trade No more random midnight scalping. 😵 3. TILT DETECTOR Triggers when: • 2 losses in a row • Or cooldown active Shows: ⚠️ TILT WARNING This is your psychology guardian. (Pros stop trading here. Retail blows accounts here.) 🧠 4. STRATEGY-SPECIFIC VALIDATORS You can toggle: ✅ Liquidity sweep trades ✅ Trend pullback trades If you enter without one → ❌ punished. This builds: ➡️ mechanical discipline ➡️ no random clicking ⏳ 5. EMOTIONAL COOLDOWN SYSTEM After a loss: • You are “locked” for X candles • No rushing back in This rewires revenge trading. 📊 6. LIVE PERFORMANCE ENGINE Tracks: • XP • Level • Win rate • Win/loss streak • Trade count • Tilt state • HTF bias • Setup grade You level up by: 👉 discipline — not profit 📈 LEVEL MEANING (IMPORTANT) Level Skill State 1–2 Impulsive 3–4 Learning patience 5–6 Controlled 7–8 Consistent 9+ Pro-ready You should NOT trade real money seriously before level 7. 🧪 FULL LIVE TUTORIAL — HOW TO USE IT STEP 1 — SETUP Open TradingView Open chart you scalp (NIFTY/BTC/etc) Add the Shadow Mode indicator Set: • Session time • HTF timeframe • Max trades STEP 2 — MARKET OPENS Your job first 10–15 mins: ❌ Do nothing 👀 Just watch structure (This alone fixes overtrading) STEP 3 — WHEN YOU SEE A SETUP Ask: ✔ HTF aligned? ✔ Liquidity sweep or pullback? ✔ RR good? If yes: 👉 Click 📥 ENTRY You’ll see: • Grade (A / A+) • Entry marker STEP 4 — MANAGE LIKE A ROBOT Do NOT interfere. Let: • TP • SL • or invalidation happen STEP 5 — EXIT Click: 📤 EXIT when trade is done System: • Awards XP • Updates streaks • Tracks win rate STEP 6 — IF YOU MESSED UP Click: ❌ RULE BREAK (Takes XP + activates cooldown) This hurts — on purpose. 📆 PERFECT TRAINING DAY LOOKS LIKE: ✅ 1–2 A/A+ trades ✅ maybe 1 loss ✅ stop after cooldown ✅ XP positive Even if P&L is flat. That’s winning. 🚫 COMMON MISTAKES (DON’T DO THESE) ❌ Clicking entry emotionally ❌ Ignoring HTF bias ❌ Overtrading ❌ Chasing candles ❌ Skipping cooldown The simulator is designed to punish these. 🧠 WHY THIS WORKS (SCIENCE SIDE) This trains: • Pattern recognition • impulse control • delayed gratification • process over money Same principles used in pilot & athlete simulators. 🎯 OPTIONAL HARD MODE (WHEN READY) • Max 1 trade/day • Only A+ setups • Higher RR minimum This accelerates mastery.
Pine Script® Indikator
von lohanineeraj
Trend Momentum v6Features - Trend EMAs: plots Fast EMA and Slow EMA to visualize direction and strength. - RSI Filter (optional): gates signals by RSI thresholds to reduce whipsaws. - Multi-Timeframe (MTF): computes EMAs/RSI on a selected timeframe via request.security. - Signals: triangle markers for Long/Short when fast EMA crosses slow EMA with optional RSI gating. - Bar Coloring: green for up-trend, red for down-trend, neutral otherwise. - Alerts: built-in alertcondition for Long Signal and Short Signal. Inputs - Signal timeframe: timeframe for EMAs/RSI; empty uses chart timeframe. - Fast/Slow EMA length: trend speed vs smoothness (21/50 default). - RSI length and thresholds: default RSI(14), thresholds at 50 for symmetry. - Confirm signals on bar close: requires bar close confirmation to avoid intrabar flips. - Show signal markers: enable/disable triangles. - Color bars by trend: enable/disable bar coloring. Signals - Long: Fast EMA crosses above Slow EMA, optionally with RSI >= bull threshold. - Short: Fast EMA crosses below Slow EMA, optionally with RSI <= bear threshold. - Trend coloring: independent of cross signals; reflects current EMA relation plus optional RSI gating. Tutorial - Add to chart: - Open TradingView → Pine Editor → paste the script → Save → Add to chart. - Configure: - Leave Signal timeframe empty for chart timeframe or choose higher TF (e.g., 1h while viewing 5m). - Start with Fast EMA=21, Slow EMA=50; adjust for your market’s volatility. - Keep RSI filter on with thresholds at 50 for balanced gating. - Enable “Confirm signals on bar close” for stable, non-repainting entries. - Interpret: - Long triangle appears after a bullish EMA cross that meets RSI criteria (if enabled). - Bars turn green when trendUp; red when trendDown; neutral when neither condition holds. - Alerts: - Add the indicator → Create Alert → Source: this indicator → Condition: Long Signal or Short Signal. - Configure frequency (Once per bar close recommended when confirm is enabled). - MTF guidance: - For intraday, set Signal timeframe to a higher TF (15m–1h) to align entries with dominant trend. - Using lookahead=barmerge.lookahead_off prevents future-data repainting; signals appear only when confirmed. Customization - Faster entries: lower Fast EMA (e.g., 13) or raise RSI bull threshold above 50 for stronger momentum. - Smoother trend: raise Slow EMA (e.g., 100) to reduce choppiness. - Stricter shorts: set RSI bear threshold below 50 (e.g., 45 or 40). - Intrabar signals: disable “Confirm signals on bar close” to see crosses mid-bar (more responsive, more noise). - Fixed indicator timeframe: if you want chart to render with gaps per fixed TF, set timeframe on indicator itself (e.g., timeframe="60") and optionally enable timeframe_gaps. Best Practices - Use with structure: apply on liquid instruments; combine with session/volatility filters if needed. - Risk management: consider ATR-based stops and position sizing; signals are entries, not guarantees. - Avoid overfitting: keep lengths and thresholds simple; validate across symbols and regimes. Limitations - Cross-based entries can lag at reversals and whipsaw in ranges; RSI gating helps but doesn’t eliminate noise. - MTF aggregation can delay signals compared to the chart’s timeframe; this is expected behavior.
Pine Script® Indikator
von lohanineeraj
ISM Manufacturing PMIDescription The ISM Manufacturing PMI (Purchasing Managers' Index) is a key economic indicator derived from monthly surveys of private sector companies. It provides insight into the health of the US manufacturing sector. Above 50.0: Indicates Expansion. Below 50.0: Indicates Contraction. This script visualizes the ISM Manufacturing PMI using TradingView's available economic data (ECONOMICS:USBCOI), providing traders and analysts with a clear view of macroeconomic trends directly on their charts. Key Features Intuitive Visualization: Dynamic Color Coding: The line turns Green during expansion (>50) and Red during contraction (<50). Baseline Fill: Optional shading between the data line and the 50.0 baseline emphasizes the current economic state. Histogram Mode: Toggle a histogram view to easily spot momentum shifts. Customizable Data Source: Defaults to ECONOMICS:USBCOI but can be configured to use other tickers (e.g., FRED:NAPM) if preferred. Smoothing: Built-in SMA, EMA, RMA, or WMA smoothing to filter out noise and see the longer-term trend. Alerts: Set alerts for significant crossovers (Expansion/Contraction start) or extreme levels. How to Use Add to Chart: Apply the indicator to any chart. It works best on higher timeframes but pulls monthly data automatically. Interpret the Trend: Look for the line crossing the 50.0 level. A cross above suggests the manufacturing sector is growing (Bullish for economy). A cross below suggests slowing down or contraction (Bearish for economy). Watch for extreme readings (above 60 or below 40) which often mark economic peaks or troughs. Adjust Settings: Style: Toggle the Line, Histogram, or Fill visibility in the settings. Smoothing: If the raw data is too jagged, increase the "Smoothing Length" to 3 or 6 months. Settings PMI Ticker: Default is ECONOMICS:USBCOI. Timeframe: Default is 1M (Monthly). Show Line / Histogram: Toggle visualization modes. Smoothing: Type and Length of the moving average applied to the data. Colors: Customize the colors for Expansion (Grow), Contraction (Fall), and Neutral. Indicator by: iCD_creator Version: 1.0 --- Updates & Support For questions, suggestions, or bug reports, please comment below or message the author. **Like this indicator? Leave a 👍 and share your feedback!**
Pine Script® Indikator
von iCD_creator
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz) SUMMARY TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions. Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied. The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline. WHAT THIS INDICATOR GIVES YOU A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend. An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage. An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk. An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure. Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts. SCIENTIFIC FOUNDATION (PLAIN ENGLISH) Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other. Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime. Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap. DATA AND SOURCES This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required. It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts. HOW THE ENGINE WORKS (HIGH LEVEL) Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering. OUTPUTS AND HOW USERS SHOULD APPLY THEM Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters. Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime. Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both. The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown. Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support. SETTINGS GUIDE (WHAT MATTERS MOST) Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe. Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation. Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes. The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are. LIMITATIONS (IMPORTANT FOR USERS) This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths. REFERENCES Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250. Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33. Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29. DISCLAIMER Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
Pine Script® Indikator
von Robinhodl21
Market Memory Layer by TheArchitectProject - COMMUNITY🎭 MARKET MEMORY LAYER by TheArchitectProject 🧠 PRICE REMEMBERS SAME CALENDAR DAYS FROM PAST YEARS NAS100FT traders discovered → NOW UNIVERSAL ✅ 2023 👻 GREEN High/Low Lines (FREE) ✅ 2021 👻 PURPLE High/Low Lines (FREE) 📈 WORKS PERFECTLY: • NAS100FT • EURUSD • SPX • BTC • DJ30FT • XAUUSD • XAGUSD • 1m → Monthly timeframes • No scam • All brokers 🔥 PRO VERSION ($67/mo): • 1 Custom Year "Purple Ghosts" (1971-2025) • ALL 6 years + 2025 live ghosts • Discord setups • PDF manual 👻 patreon.com/TheArchitectProject #MarketMemory #GhostTrading #NAS100FT
Pine Script® Indikator
von thearchitectproject
Trading Command Center# Trading Command Center (TCC) ## 📊 All-In-One Confluence Trading System **Stop guessing. Start confirming.** The Trading Command Center combines the most essential technical analysis tools into a single, unified indicator with a real-time **Confluence Dashboard** that tells you when multiple signals align—giving you higher-probability trade setups. --- ## 🎯 What Is Confluence Trading? Professional traders don't rely on a single indicator. Studies show that **85% of professional traders use 2+ indicators** to confirm entries. Confluence trading means waiting for multiple independent signals to agree before taking action. **One signal = noise. Multiple signals = conviction.** This indicator does the heavy lifting by: - Displaying all key technical levels on your chart - Automatically scoring bullish vs bearish signals - Alerting you when high-confluence setups appear --- ## 📦 What's Included ### On-Chart Overlays | Component | What It Shows | |-----------|---------------| | **EMAs (9, 21, 50, 200)** | Trend direction at multiple timeframes | | **VWAP + Bands** | Institutional fair value & standard deviation levels | | **Dynamic S/R Zones** | Auto-detected support/resistance with touch counts | | **Auto Trendlines** | Connecting recent pivot highs and lows | | **Volume Highlights** | Background shading when volume exceeds 1.5x average | ### Dashboard Analysis (Top Right Panel) | Indicator | Dashboard Shows | |-----------|-----------------| | **EMA Stack** | Perfect/partial bullish or bearish alignment | | **Price vs EMA 200** | Above/below with % distance | | **Price vs VWAP** | Intraday institutional bias | | **RSI (14)** | Value + overbought/oversold status | | **MACD** | Bullish/bearish + momentum direction + crosses | | **Volume** | Ratio vs 20-period average | | **ATR** | Current volatility level | | **Confluence Score** | Net score from -10 to +10 | --- ## 🚦 How The Confluence Score Works The system awards points for bullish and bearish conditions: ### Bullish Points - Perfect EMA stack (9 > 21 > 50 > 200): **+2** - Partial EMA alignment: **+1** - Price above VWAP: **+1** - RSI bullish (50-70): **+1** - RSI oversold (<30): **+2** *(potential reversal)* - MACD above signal: **+1** - MACD rising momentum: **+1** - MACD bullish cross: **+2** - Above 200 EMA: **+1** - High volume + green candle: **+1** ### Bearish Points *(Mirror of above for bearish conditions)* ### Signal Interpretation | Score | Meaning | |-------|---------| | **+5 to +10** | 🟢 STRONG BUY - Multiple confirmations aligned | | **+2 to +4** | Bullish bias | | **-1 to +1** | Neutral / Mixed signals | | **-2 to -4** | Bearish bias | | **-5 to -10** | 🔴 STRONG SELL - Multiple confirmations aligned | --- ## 📈 How To Use This Indicator ### For Trend Following 1. Check the **EMA Stack** status in the dashboard 2. Confirm price is on the correct side of **VWAP** 3. Wait for **confluence score ≥ +3** (longs) or **≤ -3** (shorts) 4. Use S/R zones for entry/exit targets ### For Reversal Trading 1. Look for **RSI overbought/oversold** conditions 2. Watch for price at a **Dynamic S/R Zone** 3. Wait for **MACD cross** confirmation 4. Enter when confluence supports the reversal ### For Day Trading 1. Use **VWAP** as your primary bias (above = long bias, below = short bias) 2. Trade pullbacks to **EMA 9/21** in the direction of VWAP 3. Avoid entries when **ATR** shows "HIGH VOL" (choppy conditions) 4. Target the opposite **VWAP band** or nearest S/R zone --- ## ⚙️ Recommended Settings ### Default (Works for most markets) All settings are optimized out of the box for stocks, crypto, and forex on 5min-Daily charts. ### Scalping (1-5 min charts) - Reduce Pivot Lookback to 5-7 - Reduce Zone Width to 0.3% ### Swing Trading (4H-Daily) - Increase Pivot Lookback to 15-20 - Increase Zone Width to 0.8-1.0% --- ## 🔔 Alerts Included - **Strong Bullish Confluence** - Multiple indicators aligned bullish - **Strong Bearish Confluence** - Multiple indicators aligned bearish - **MACD Bullish/Bearish Cross** - Momentum shift - **RSI Overbought/Oversold** - Extreme readings - **Volume Spike** - Volume exceeds 2.5x average --- ## 💡 Pro Tips 1. **Don't chase low-confluence setups** - Wait for score ≥ +3 or ≤ -3 2. **Respect the 200 EMA** - It defines the macro trend 3. **Volume confirms moves** - High volume signals are more reliable 4. **S/R zones with more touches are stronger** - Look for + touch counts 5. **MACD crosses near zero line are strongest** - Avoid extended readings --- ## ⚠️ Important Notes - **RSI, MACD, and ATR values are shown in the dashboard only** (not plotted separately). If you want the actual plots, add TradingView's built-in indicators alongside this one. - **This is a tool, not a trading system** - Always use proper risk management - **Past performance ≠ future results** - Confluence improves probability, not certainty --- ## 🔧 Customization All components can be toggled on/off: - Show/hide EMAs, VWAP, S/R Zones, Trendlines - Adjust all lengths and multipliers - Change colors to match your chart theme - Move dashboard position (all 4 corners) --- **Questions or suggestions?** Drop a comment below! *If this indicator helps your trading, please leave a like/follow—it helps others find it too.* --- **Tags:** confluence, ema, vwap, rsi, macd, support resistance, trendlines, volume, atr, dashboard, all-in-one, trading system, beginner friendly
Pine Script® Indikator
von DayTradingMD1992
CGI - Option Premium Tracker [CE vs PE]## ⚡ CGI - Nifty Option Premium Tracker **"Stop Switching Tabs. Decode the Institutional Battle."** Trading Options in Nifty & BankNifty requires speed and clarity. Retail traders lose money because they look at the Spot Chart, but Big Players manipulate the **Premium Chart**. The **CGI Premium Tracker** solves this. It plots both the **CALL (CE)** and **PUT (PE)** premium charts directly on a single screen, allowing you to spot the real winner in real-time. --- ### 🎯 Key Features (Free Version) #### 1. ⚡ Dual-Chart Technology * Visualize the **CE (Green Candles)** and **PE (Red Candles)** side-by-side. * **The Logic:** If Spot is moving up, but the Call Premium isn't following (Divergence), it's a trap. This tool helps you see that instantly. #### 2. 🐋 Operator Candle Detection * **Blue Candles:** Highlight massive volume spikes (1.5x Average). This usually indicates "Smart Money" entering positions. * **Yellow Candles:** Indicate extreme churn/panic. #### 3. 🛡️ Institutional Anchors (Fresh AVWAP) * Standard VWAP lags. Our **Fresh AVWAP** resets daily or at the first 15-minute close, showing you the *true* intraday average price where institutions defend their positions. #### 4. 🚀 Scalper's EMA * Includes the classic 8-EMA setup. A visual guide to stay in the trend as long as momentum holds. --- ### 🛠️ How to Use This Tool 1. **Select Your Strikes:** Go to settings and simply type the Strike name (e.g., `NIFTY24FEB26000CE`). 2. **Watch the Flow:** When Green Candles (CE) dominate Red Candles (PE) above the Anchors, the trend is real. 3. **Spot the Operator:** Watch for **Blue Candle** breakouts to identify where the momentum is starting. --- ### 🔓 Unlock Institutional Intelligence This is the **Basic Visualization** tool. Our **CGI Titanium Engine** (Invite-Only) is designed for professional analysis, adding: * ✅ **Institutional Flow Ribbon:** Visualizes the dominant trend without the noise. * ✅ **Trap Zone Detection:** Automatically highlights "Judas Swings" and fake-outs. * ✅ **Market Consensus:** Advanced geometry to find high-probability reversal zones. **👉 Check the Author Profile below to join the CGI Community!** 👇 **Drop a BOOST (Like) if this tool improved your screen setup!** 🚀
Pine Script® Indikator
von RaghunanddanBarrve
MT Trading Smart MoneyMT Trading 'Smart Money' MT Trading SM is a market analysis tool based on Smart Money Concepts, designed to identify market context, probable price scenarios, and a structured trading plan — without generating direct buy or sell signals. The indicator does not try to predict exact price movements or force entries. Its purpose is to guide the trader’s decision-making process by clarifying what the market is most likely to do next and under which conditions a trade makes sense. 🔹 What the indicator does Determines swing market context (bullish / bearish / neutral) Analyzes market structure (BOS / CHoCH) Tracks relevant swing order blocks Evaluates whether price is within Smart Money areas of interest Provides contextual trade planning, not signals 🧠 Bias / Scenario / Plan Dashboard Instead of entry signals, the indicator displays an analytical dashboard: Bias — probable market direction Scenario — what price is likely to do next Plan — how the trader should react Example: Bias: BEARISH ↓ Scenario: Pullback expected Plan: Wait for price to return to premium zone and confirm structure ⚠️ Important Notes No take-profit or risk-reward calculations No forced entries without structure confirmation Designed for discipline and patience, not impulsive trading Best used alongside price action and proper risk management 🎯 Who this tool is for Traders using Smart Money Concepts Those who want clarity over prediction Traders focused on structure and zones, not indicators Traders who value planning over frequency 🧠 Core Philosophy Not trading is also a valid decision. This tool helps identify when the market offers no real advantage and prevents unnecessary trades.
Pine Script® Indikator
von GreedyGuyTrade
Top-Down Market Bias ChecklistThis script allows users, to select whether a market is Bullish or Bearish on different timeframes. It simplifies the process of opening a textbox every time and writing in the values manually, it also simplifies on having to move the textbox every time when switching timeframes. There is a Color Customization section at the bottom on the inputs when you open settings, where each user can change his colors depending on their preferences.
Pine Script® Indikator
von tonyr06
CMO Checklist (MHM)CMO Checklist is a manual trading checklist indicator designed to help traders confirm market conditions step by step. This tool is fully manual and does NOT generate signals. It is intended for discretionary traders who follow structured setups such as ICT / CMO-style execution models. Features: • Clean and compact checklist table • Manual check / uncheck via inputs • Fixed position (top-right) • No repaint • Pine Script v6 compatible This indicator does not generate trading signals. It is a visual checklist only. • Manual • Checklist • No signals • Educational / Trading tool
Pine Script® Indikator
von Mohammad_MarketMavericks