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Market State Fear & Greed Bubble Index V1Market State Fear & Greed Bubble Index V1 📊 Comprehensive Market Sentiment Analyzer This advanced indicator measures market psychology through a multi-dimensional scoring system, combining demand/supply pressure, trend momentum, and statistical extremes to identify fear/greed cycles and trading opportunities. 🎯 Core Features Five-Factor Fear & Greed Score Weighted sentiment analysis: Demand/Supply (25%): Real-time buying/selling pressure RSI (25%): Momentum extremes KDJ (20%): Overbought/oversold detection Bollinger Band % (20%): Statistical positioning ADX Trend (10%): Trend strength confirmation Multi-Layer Market State Detection Extreme Fear/Greed: Statistical bubble identification Trend Bias: Bullish/Bearish/Neutral classification Confidence Scoring: Setup reliability assessment Reversal Alerts: Early trend change signals Visual Dashboard Top-right information panel displays: Fear & Greed Score (0-100) Market State Classification Trend Bias & Confidence Signal Quality & Alerts 📈 Key Components Fear & Greed Gauge 0-30: Extreme Fear (buying opportunities) 30-47: Fear (accumulation zones) 47-70: Neutral (consolidation) 70-90: Greed (caution zones) 90-100: Extreme Greed (selling opportunities) Deviation Zones Red Zone (±17.065): Critical reversal areas Yellow Zone (±34.135): Warning levels Blue Zone (±47.72): Statistical extremes where reversals are highly likely. These occur when asset prices are in a bubble that's about to pop. Signal Types Buy/Sell Labels: Primary entry/exit signals Scalp Signals: Short-term opportunities Bottom/Top Detectors: Extreme reversal zones Whale Indicators: Institutional activity markers 🚀 Trading Applications Extreme Fear Setups Conditions: Fear & Greed Score < 34.135 BB% < 0 or < J-inverted line RSI < 34.135 Confidence score > 68% Bullish divergence present Action: Accumulation positions, scaled entries Extreme Greed Setup Conditions: Fear & Greed Score > 68.2 BB% > 100 or > 80 with divergence RSI > 68.2 ADX showing trend exhaustion Multiple timeframe resistance Action: Profit-taking, protective stops Trend Following Bullish Conditions: Sentiment score rising from fear zones DMI+ above DMI- and rising Confidence > 75% Volume supporting moves Bearish Conditions: Sentiment declining from greed zones DMI- above DMI+ and rising Distribution patterns Multiple resistance failures ⚙️ Customization Options Adjustable Parameters: DMI Settings: DI lengths, ADX smoothing KDJ Periods: Customizable sensitivity BB% Range: Statistical band adjustments Smoothing Options: Demand/Supply filtering Alert Thresholds: Custom signal levels Visual Customization: Color schemes for different market states Line thickness and style preferences Information panel display options Alert sound/visual preferences 📊 Signal Interpretation Primary Signals: Green 'B': Strong buy opportunity Red 'S': Strong sell opportunity White 'Scalp': Short-term trade Trade Area: Accumulation/distribution zones Visual Markers: 🔥: Bullish momentum building 🐻: Bear exhaustion building 🐳: Whale/institutional activity Color-coded fills: Market state visualization Confidence Levels: ≥80%: High reliability setups 60-79%: Moderate confidence <60%: Low confidence, avoid or reduce size ⚠️ Risk Management Guidelines Critical Rules: Never trade against extreme sentiment (Extreme Fear → buy, Extreme Greed → sell) Require multiple confirmation signals Use confidence scores for position sizing Avoid When: Conflicting signals between components Low volume participation Confidence score < 50% Major news events pending Extreme volatility conditions 💡 Advanced Strategies Sentiment Cycle Trading Identify sentiment extremes Wait for confirmation reversals Enter with trend confirmation Exit at opposite sentiment extreme Use confidence scores and fear & greed scores to scale: Fear & greed scores < 30 = buy area Fear & greed score > 60 = sell area Trend Momentum Exit: At extreme greed with divergence Enter: At extreme fear with divergence 📊 Market State Classification Five Primary States: EXTREME FEAR (BB% <0, RSI <34, Score <34) FEAR (Score 34-47, bearish momentum) NEUTRAL (Score 47-70, consolidation) GREED (Score 70-90, bullish momentum) EXTREME GREED (Score >90, BB% >100) State Transitions: Fear → Neutral: Early accumulation Neutral → Greed: Trend development Greed → Extreme Greed: Distribution Extreme → Reversal: Trend change 🔍 Information Panel Guide Real-Time Metrics: FEAR & GREED: Current sentiment score Market State: Classification and bias Trend Bias: Bullish/Bearish/Neutral Confidence: Setup reliability percentage Momentum: Current directional strength Volatility: Market condition assessment Signal Quality: Trade recommendation Reversal Imminent: Early warning alerts 🌟 Unique Advantages Psychological Edge: Quantifies market emotion through multiple indicators Identifies bubbles before they pop Provides statistical confidence for each setup Combines technical extremes with sentiment analysis Offers clear visual cues for decision making Professional Features: Multi-timeframe sentiment analysis Real-time confidence scoring Comprehensive alert system Institutional activity detection Clear risk/reward visualization 📚 Educational Value This indicator teaches: Market psychology cycles Statistical extreme identification Multi-indicator confirmation Risk quantification methods Professional trade management Perfect for traders seeking to understand and profit from market sentiment cycles. Disclaimer: For educational purposes. Trading involves risk. Past performance doesn't guarantee future results.
Wskaźnik Pine Script®
od capableDealer16380
Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands Overview Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity. Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction. This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions. Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators. Conceptual Framework Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns. Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume. Three core principles guide the design: Trend direction should correspond to volume-weighted flow dominance, not price movement alone. Band width must adapt dynamically to current flow strength and volatility conditions. Flow intensity context reveals whether regimes formed under conviction or uncertainty. This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries. Theoretical Foundation The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification. A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers. Four internal systems operate in tandem: Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing. Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization. Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling. Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion. This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone. How It Works Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes: Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high). Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1. Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments. Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference. Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction. Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend. Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise. Together, these elements form a continuously updating trend framework anchored in volume flow reality. Interpretation Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries: Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance. Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support. Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum. Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods. Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points. Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets. Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline. Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods. Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations. Signal Logic & Visual Cues Smart Money Flow Cloud presents three primary interaction signals: Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition. Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition. Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise. Alert generation covers regime switches and retest events for systematic monitoring. Strategy Integration Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches: Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts. Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks. Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow). Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction. Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction. Technical Implementation Details Core Engine : Configurable EMA or ALMA baseline with secondary smoothing Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization Strength Transformation : Configurable power function for nonlinear flow amplification Band Construction : ATR-scaled width with flow-strength-interpolated multipliers Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge Signal Logic : Band crossover detection with baseline retest identification and cooldown management Performance Profile : Optimized for real-time execution with minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure regime detection for scalping and intraday reversals 15 - 60 min : Intraday trend identification with flow-validated swings 4H - Daily : Swing and position-level regime analysis with institutional flow context Suggested Baseline Configuration: Trend Length : 34 Trend Engine : EMA Trend Smoothing : 3 Flow Window : 24 Flow Smoothing : 5 Flow Boost : 1.2 ATR Length : 14 Band Tightness (Calm) : 0.9 Band Expansion (Strong Flow) : 2.2 Reset Cooldown : 12 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity. Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering. Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation. Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection. Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries. Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity. Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with consistent volume participation and institutional flow Instruments where volume accurately reflects true liquidity and conviction Trending environments where flow confirms directional price movement Mean-reversion strategies using retest signals within established regimes Reduced Effectiveness: Extremely low volume environments where flow calculations become unreliable News-driven or gapped markets with discontinuous volume patterns Highly manipulated or thinly traded instruments with erratic volume distribution Ranging markets where price oscillates within bands without conviction Integration Guidelines Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion Context Awareness : Consider whether current market regime matches historical flow patterns Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation Disclaimer Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
Wskaźnik Pine Script®
od BOSWaves
eBacktesting - Learning: Liquidity GrabseBacktesting - Learning: Liquidity Grabs highlights moments when price pushes just beyond a recent swing high or swing low (where many stops tend to sit) and then quickly returns back inside the level. This behavior is often called a stop run, sweep, or liquidity grab. Traders study these events because they can reveal: - Where liquidity is “resting” (obvious highs/lows) - A quick sweep and rejection (often a wick) - When a breakout attempt is actually a trap - A full candle close through the level, followed by an immediate reversal back inside (classic breakout trap) - Potential areas where price may reverse or accelerate after stops are taken Use it as a training tool to build pattern recognition and improve your patience around key levels, especially during active sessions where sweeps happen frequently. These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Wskaźnik Pine Script®
od eBacktesting
Fibonacci Sequence Grid [BigBeluga]🔵 OVERVIEW A geometric price mapping tool that projects Fibonacci sequence levels and grid structures from recent price swings to help traders visualize natural expansion and reversion zones. This indicator overlays Fibonacci-based structures directly on the chart, utilizing both grid projections and horizontal levels based on the classic Fibonacci integer sequence (0, 1, 1, 2, 3, 5, 8, ...). It identifies recent swing highs or lows and builds precision-aligned levels based on the trend direction. 🔵 CONCEPTS Uses the Fibonacci integer sequence (not ratios) to define distances from the most recent swing point. Identifies a trend based on EMA cross of fast and slow periods. Projects two types of Fibonacci tools: A grid projection from the swing point, displaying multiple sloped levels based on the sequence. A set of horizontal Fibonacci levels for clean structural references. Levels can be plotted from either swing low or high depending on the current trend direction. Adjustable “Size” inputs control spacing between levels for better price alignment. Lookback period defines how far the script searches for recent swing extremes. 🔵 FEATURES Fibonacci Grid Projection: Draws two mirrored Fibonacci grids—one expanding away from the swing high/low, the other converging toward price. Swing-Based Trend Detection: Uses a fast/slow EMA crossover to determine trend direction and reference swing points for projections. Fibonacci Sequence Levels: Displays horizontal levels based on the Fibonacci number sequence (0, 1, 2, 3, 5, 8, 13, 21...) for natural price targets. Dynamic Labels and Coloring: Each level is labeled with its sequence value and colored based on trend direction (e.g., red = downtrend, green = uptrend). Both grids and levels can be toggled on/off independently. Sizing controls allow tighter or looser clustering of levels depending on chart scale. 🔵 HOW TO USE Enable Fibonacci Grid to visualize price expansion zones during impulsive trends. Use Fibonacci Levels as horizontal support/resistance or target zones. A label below price means the current trend is up and levels are projected from swing low. A label above price means trend is down and levels are projected from swing high. Adjust “Size” input to fit grid/level projection to your preferred chart scale or instrument volatility. Use in confluence with price action, trend indicators, or volume tools for layered trading decisions. 🔵 CONCLUSION Fibonacci Sequence Grid reimagines Fibonacci analysis using whole-number spacing from natural math progressions. Whether used for projecting grid-based expansions or horizontal support/resistance zones, it provides a powerful and intuitive structure to trade within. Perfect for traders who rely on symmetry, market geometry, and mathematically consistent levels.
Wskaźnik Pine Script®
od BigBeluga
3
Session Dominance Profile [Pointalgo]Session Dominance Profile is a visual volume-distribution tool that shows which global trading session (Asia, London, or New York) dominates price activity across different price levels within a defined historical range. The indicator builds a horizontal volume profile using candle close prices and volume, then classifies each price level by the session that contributed the highest volume. How It Works : The script analyzes a configurable lookback period Price range is divided into multiple horizontal bins Volume is accumulated per price level Each bin is split into three session buckets: Asia Session (Yellow) London Session (Blue) New York Session (Red) The session with the highest volume at that price level determines the color This results in a Session-based Dominance Profile, helping traders visually identify: Where major sessions were most active Session-specific acceptance or rejection zones Potential intraday and swing reaction areas Practical Use Cases : Identify price levels dominated by a specific session Understand session rotation and participation Combine with: Market structure Support & resistance VWAP or moving averages Useful for intraday, scalping, and swing trading Inputs Explained: Lookback – Number of historical bars used to build the profile Resolution – Number of price bins (higher = more detail) Fixed Width (Bars) – Maximum horizontal width of the profile Offset (Bars) – Distance of the profile from the current bar Profile Direction – Left-to-Right or Right-to-Left rendering Session Time Reference: All sessions are calculated using UTC time. Important Notes: This indicator is visual and analytical only It does not generate buy or sell signals No repainting: the profile is calculated on the last bar only Designed for educational and research purposes Disclaimer: This script does not provide financial advice. Trading involves risk, and past volume behavior does not guarantee future results. Always confirm signals using additional analysis and proper risk management.
Wskaźnik Pine Script®
od pointalgo
eBacktesting - Learning: Buy/Sell-side LiquidityeBacktesting - Learning: Buy/Sell-side Liquidity Buy-side and sell-side liquidity are some of the most important “magnets” in day trading. When price forms obvious swing highs and swing lows, stop-loss orders often build up just above those highs (buy-side liquidity) and just below those lows (sell-side liquidity). Markets frequently move into these areas to “take” that liquidity before making the next meaningful move. This indicator helps you spot those potential liquidity pools and highlights when price reaches them. Use it to study: - where stops are likely resting above highs / below lows - how often price sweeps those areas before reversing - how liquidity runs can trigger the next expansion or trend continuation These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Wskaźnik Pine Script®
od eBacktesting
Kadunagra-Pivot Point SuperTrend-trades analysis 📊 Pivot Point SuperTrend Strategy (MA-Filtered, 100% Equity) This strategy is a trend-following system that combines Pivot Point–based SuperTrend logic with a higher-timeframe Moving Average filter and percentage-based risk control. --- 🔹 Core Logic 1️⃣ Trend Detection (Pivot Point SuperTrend) Uses pivot highs and lows to calculate a dynamic center line Builds ATR-based upper and lower bands Determines market trend: Bullish trend when price breaks above the trailing band Bearish trend when price breaks below the trailing band Trend changes generate: Buy signal → trend flips from bearish to bullish Sell signal → trend flips from bullish to bearish --- 2️⃣ Moving Average Trend Filter (User-Selectable) A single Moving Average is used as a higher-timeframe confirmation User can select the MA type from a dropdown: SMA, EMA, WMA, VWMA, RMA, or HMA Trade rules: Long trades only when price is above the selected MA Short trades only when price is below the selected MA This helps avoid counter-trend trades and improves signal quality. --- 3️⃣ Trade Execution & Position Sizing Strategy uses 100% of account equity per trade No pyramiding Long and short trades are handled symmetrically --- 4️⃣ Risk Management (Percentage Stop-Loss) Uses a fixed percentage stop-loss Stop-loss is calculated from the actual entry price: Long SL → Entry Price − SL% Short SL → Entry Price + SL% Ensures consistent risk control across all trades --- ⏱ Recommended Timeframe & Market ✅ Default / Optimized Use Case Timeframe: 4-Hour (4H) Market: BTC (Bitcoin) MA Length (default): 200 EMA ATR Factor & Period: Tuned for swing-style trend moves These default parameters are best suited for 4H BTC based on trend behavior and volatility. --- ⚙️ Customization & Flexibility All parameters are fully adjustable and can be optimized for: Different timeframes (1H, Daily, etc.) Other cryptocurrencies or markets More aggressive or conservative risk profiles You can modify: Pivot period ATR factor & period MA type and length Stop-loss percentage --- 🧠 Strategy Style Summary ✔ Trend-following ✔ MA-filtered confirmation ✔ No repaint logic ✔ Works best in trending markets ✔ Suitable for swing trading
Strategia Pine Script®
od kadunagra
Linear Regression Market State IndexStandard Deviation Market Structure Indicator A Comprehensive Multi-Timeframe Market Analysis Tool 🎯 Overview The Standard Deviation Market Structure (SDMS) indicator is a sophisticated technical analysis tool that integrates multiple proven methodologies to identify market structure, trend direction, and potential reversal zones. By combining price action, statistical analysis, and momentum indicators across multiple timeframes, SDMS provides traders with a comprehensive view of market dynamics. ✨ Key Features Multi-Timeframe Integration Primary analysis on current timeframe 1-hour statistical confirmation for support/resistance levels Order block extension across 500 future bars Comprehensive Technical Suite RSI with Deviation Analysis Dynamic Order Block Detection Gaussian Filter Channels Linear Regression with Statistical Bands Standard deviation to detect price outliers Directional Movement Index (DMI/ADX) Bollinger Band % Analysis Support/Resistance Line System Visual Clarity Color-coded signals and zones Automatic level management Clean, intuitive display 📊 Core Components Explained 1. Order Block System What Are Order Blocks? Order blocks are price zones where institutional activity has occurred, creating future support or resistance levels. SDMS automatically detects these critical zones. Detection Logic: Bullish Order Blocks: Form when price breaks above recent highs following bearish candles Bearish Order Blocks: Form when price breaks below recent lows following bullish candles Visual Identification: Green boxes with "BuOB" labels (support zones) Red boxes with "BeOB" labels (resistance zones) Each block shows its boundary price for easy reference Dynamic Management: Automatically extends 300 bars into the future Self-cleaning: removes blocks when price breaches their boundaries Real-time adjustment to changing market structure 2. Statistical Support/Resistance System How It Works: SDMS creates support and resistance lines based on statistical extremes confirmed on the 1-hour timeframe. Trigger Conditions: Support Lines (Green): Trigger when 1H Bollinger Band % crosses above 0 and bearish momentum subsides. Resistance Lines (Red): Trigger when 1H Bollinger Band % crosses below 1 and bullish momentum subsides The Science Behind BB%: BB% = (Price - Lower Band) / (Upper Band - Lower Band) BB% <= 0: Price at statistical oversold extreme; also indicated by white candles. BB% > 1: Price at statistical overbought extreme; also indicated by white candles. Line Management: Maximum of 15 active lines Oldest lines automatically removed Lines extend across chart for ongoing reference 3. Trend Analysis Suite Hull Moving Average (HMA): 55-period smoothed trend indicator Color-coded: Green = bullish, Red = bearish Visual band shows trend acceleration/deceleration Gaussian Channel: Advanced filtering of market noise Dynamic channel based on true range volatility Helps identify mean reversion opportunities Form a yellow band when price is overbought or oversold zones. Linear Regression System: Statistical price modeling Multiple standard deviation bands (up to 3SD) Regression-based candlestick visualization Candles turn white when in overbought zones. Yellow candles indicate extremely overbought zones. Blue candles indicate a bullish trend with high volume. Bearish candles are bluish-purple when volume is high and red when the volume is within normal ranges or low. 4. Momentum & Oscillator Integration RSI with Deviation Tracking: 21-period RSI with 30-period smoothing Tracks deviation from moving average based off linear regression Identifies momentum divergences Directional Movement Index: Multi-period DMI/ADX analysis Used to detect overbought and oversold zones within the indicator calculations. Combines with RSI for enhanced signals Momentum confirmation for all entries/exits 🎯 Trading Signals & Alerts Buy Signals (Yellow "Buy" Labels) Multi-Condition Confirmation Required: RSI Oversold Reversal: RSI crosses above 30 Trend Alignment: HMA showing bullish structure Momentum Confirmation: DMI alignment Statistical Support: Price at or near support zones Risk Management: Multiple confirming indicators Strong Buy Conditions: Confluence of order block support + BB% support line Multiple timeframe alignment Volume confirmation at key levels Sell Signals (Red/Yellow "Sell" Labels) Multi-Condition Confirmation Required: RSI Overbought Reversal: RSI crosses below 70 Trend Exhaustion: HMA showing bearish structure Momentum Divergence: DMI bearish alignment Statistical Resistance: Price at or near resistance zones Timeframe Confirmation: 1H BB% bearish signals Strong Sell Conditions: Confluence of order block resistance + BB% resistance line Multiple timeframe distribution Volume surge at resistance Additional Alerts RSI Divergence Signals: Triangles showing momentum shifts Extreme Price Alerts: Circles at statistical extremes Structure Breaks: Visual cues for order block violations 🎨 Visual System Guide Color Coding System Green: Bullish conditions, support zones, rising trends Red: Bearish conditions, resistance zones, falling trends Blue: Statistical channels, neutral zones Yellow: Alert conditions, extreme signals White: Transition zones, neutral signals Zone Identification Buying Pressure Zones: Green/blue tinted areas below price or white candles with white dots within the moving average center line Selling Pressure Zones: Red tinted areas above price with white dots within the moving average center line Standard Deviation Zones: Gradient colors showing statistical extremes ⚙️ Customization Options Adjustable Parameters RSI Settings: Period, oversold/overbought levels, sensitivity Order Block Detection: Lookback period, ATR multiplier, extension Statistical Settings: Gaussian filter poles, regression periods Support/Resistance: Maximum lines, BB% settings Visual Preferences: Colors, band displays, alert styles Input Groups RSI Trading Strategy Order Block Configuration Gaussian Channel Settings Linear Regression Parameters DMI/ADX Configuration Bollinger Band % Settings 📈 Practical Trading Applications For Swing Traders Identify Key Levels: Use order blocks + BB% lines for entry/exit planning Trend Confirmation: HMA + Gaussian channel for trend direction Risk Management: Standard deviation bands for stop placement Timing Entries: RSI/DMI alignment for optimal entry timing For Day Traders Intraday Levels: Order blocks provide immediate S/R for day trading Momentum Signals: Real-time RSI/DMI signals for quick moves Statistical Edges: Gaussian channel for mean reversion plays Breakout Confirmation: Order block breaks with volume For Position Traders Higher Timeframe Structure: 1H BB% lines for major levels Trend Persistence: HMA for long-term trend identification Accumulation/Distribution Zones: Order blocks show institutional activity Multi-Timeframe Alignment: Confirmation across timeframes 🔍 How to Use SDMS Effectively Step 1: Market Structure Assessment Identify active order blocks (green/red boxes) Note BB% support/resistance lines (horizontal lines) Assess HMA and moving average trend direction (color) Check Gaussian channel position (preferably outside 2SD) Step 2: Signal Confirmation Wait for multiple indicator alignment look for doji candles. Confirm with green (bullish) or red (bearish) candles Confirm with volume if available Check for confluence of levels Assess risk/reward based on nearby levels Step 3: Trade Management Enter at confirmed support/resistance Place stops beyond opposite levels Take profits at next statistical level Monitor for structure changes Step 4: Risk Management Use standard deviation bands for volatility assessment Never risk more than 1-2% per trade Adjust position size based on confluence strength Have predefined exit rules 💡 Advanced Strategies Strategy 1: Confluence Trading Setup: Order block + BB% line at same level Entry: Price tests confluence zone with RSI signal Stop: Beyond the confluence zone Target: Next statistical level Strategy 2: Breakout Trading Setup: Price approaching order block boundary Entry: Break with volume + RSI/DMI confirmation Stop: Re-entry into order block Target: Next BB% line extension Strategy 3: Mean Reversion Setup: Price at Gaussian channel extremes Entry: RSI reversal signal at channel boundary Stop: Beyond channel extreme Target: Channel midline or opposite boundary ⚠️ Important Considerations Best Market Conditions Trending Markets: Excellent performance in clear trends Breakout Scenarios: Strong identification of break levels Range Markets: Works well with defined ranges Limitations Choppy Markets: May give false signals in consolidation News Events: Fundamental shocks can override technical levels Timeframe Specific: Optimal on 15-minute to daily charts Risk Management Rules Always use stops Never rely on single signals Consider market context Adjust for volatility changes Keep position sizes consistent 🔧 Technical Specifications Maximum Lines: 500 Maximum Bars Back: 1000 Maximum Boxes: 500 Calculation Efficiency: Optimized for real-time use 🏆 Why SDMS Stands Out Unique Advantages Integrated Approach: Combines multiple methodologies into one tool Self-Adjusting: Automatically adapts to market changes Multi-Timeframe: Provides both immediate and higher timeframe context Visual Clarity: Clean, intuitive display of complex data Professional Grade: Institutional-level analysis accessible to all traders Educational Value: Learn how different indicators interact Understand market structure development See institutional order flow patterns Develop disciplined trading habits 📚 Learning Resources Recommended Study Approach Start Simple: Focus on order blocks and BB% lines first Add Complexity: Gradually incorporate other indicators Paper Trade: Practice without risk Keep Journal: Document setups and outcomes Review Regularly: Analyze both wins and losses Common Pitfalls to Avoid Overtrading: Wait for high-quality setups Ignoring Context: Consider overall market conditions Chasing Signals: Enter at planned levels, not after moves Risk Mismanagement: Always know your risk before entering Confirmation Bias: Be objective about signals 🤝 Community & Support Getting the Most from SDMS Start with Defaults: Use default settings initially Adjust Gradually: Make small changes as you understand the tool Combine with Fundamentals: Use for timing within fundamental context Stay Disciplined: Follow your trading plan consistently Continuous Improvement SDMS is designed for continuous learning. As you use the indicator, you'll develop insights into: Market microstructure Institutional trading patterns Statistical edge identification Risk management optimization Risk management is more important than signal accuracy Patience is required for high-quality setups Success Factors Discipline: Following your plan consistently Patience: Waiting for proper setups Risk Management: Protecting your capital Continuous Learning: Improving your skills over time 🌟 Final Thoughts The Standard Deviation Market Structure indicator represents a sophisticated approach to technical analysis, combining the best elements of price action, statistical analysis, and momentum indicators. While powerful, remember that no indicator guarantees success. SDMS is a tool – your skill, discipline, and risk management determine your trading results. Use SDMS as part of a comprehensive trading plan, combine it with proper risk management, and continue developing your trading skills. The markets are always teaching – stay humble, stay disciplined, and trade well. Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Trading involves risk of loss. Always consult with a qualified financial professional before making investment decisions.
Wskaźnik Pine Script®
od capableDealer16380
Opening Range {basic}Introduction Opening range {basic} is a clean and reliable indicator designed to help traders visualize the opening range of a trading session with minimal setup and visual clutter. This version focuses on the core components of opening range analysis, making it ideal for traders who want a simple, effective framework for identifying early-session structure across futures, forex and crypto markets. Description The indicator automatically calculates the opening range high, low and midpoint over a user-defined opening window (5m, 15m, 30m or 60m) within a selected trading session (default: NY session). During the opening range window, the indicator dynamically tracks price to form the range. Once the opening range is complete, the high, low and midpoint are extended forward for the remainder of the session, providing clear reference levels that can be used for bias, mean reversion or breakout-based decision making. A shaded fill highlights the opening range area, with an optional size display showing the total range in price units. Styling and logic are intentionally simplified to keep the chart clean and easy to interpret. Features Configurable opening range length Choose between 5m, 15m, 30m or 60m opening ranges. Session-based calculation Opening range is calculated only within the selected trading session. Opening range levels Opening range high, low and midpoint. Range fill & size display Shaded fill between the opening range high and low. Text showing total opening range size. Clean, minimal design Fixed line styles and thickness for clarity. Dark and light theme support. Minimal settings for fast, intuitive use. Optimized performance Designed for intraday timeframes compatible with the selected opening range length. Terms & Conditions This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and past performance is not indicative of future results. The user assumes full responsibility for any trading decisions made using this indicator.
Wskaźnik Pine Script®
od scriptedge
Sakata Reversal MatrixThis indicator automatically detects key candlestick reversal patterns based on the traditional Japanese "Sakata Five Methods." Key Features: Identifies patterns such as Hammer, Engulfing, Harami, Piercing/Dark Cloud, and Gaps (Sanku). Strict Star Detection: "Morning Star" and "Evening Star" signals are filtered using a strict logic where the second candle (the star) must be visually isolated from the surrounding candles. High-Accuracy Filter: Combines RSI (below 30 or above 70) with Bollinger Bands to ensure signals appear only during overbought or oversold conditions, reducing false signals. Bilingual Support: Easily toggle between Japanese and English labels in the settings. このインジケーターは、日本の伝統的な相場分析法である「酒田五法」をベースに、主要な反転ローソク足パターンを自動検知します。 主な機能: ハンマー（首吊り線）、包み足、はらみ足、切り込み線、三空などを表示。 厳格な明星判定: 「明けの明星」「宵の明星」は、2本目のローソク足の実体が前後の足から窓を開けて孤立している場合のみ検知する厳格なロジックを採用しています。 高精度フィルタ: RSI（35以下/65以上）とボリンジャーバンドを組み合わせ、相場が過熱しているポイントでのみサインを出すことで、騙しを軽減しています。 バイリンガル対応: 設定から日本語と英語の表示を切り替え可能です。
Wskaźnik Pine Script®
od ken5_5489
MLSS v3 + AlertsTitle: 6-in-1 Professional Levels Suite ​Description: ​Overview This comprehensive indicator is designed for price action traders who rely on key structural levels. It automatically identifies and plots six distinct types of support and resistance zones, significantly reducing chart clutter and manual work. Whether you are following the Gerchik methodology or classic S/R strategies, this tool provides the "skeleton" of the market at a glance. ​Key Features & Methodology: ​Limit Player Levels (LPL): Identifies precise "penny-to-penny" touches where a large limit order is holding the price. Configurable tolerance in ticks. ​Historical Levels (HL): Plots major global swing points from higher timeframes (Daily/Monthly) that represent long-term trend shifts. ​Mirror Levels (ML): Automatically detects classic "Role Reversal" zones where previous resistance becomes new support (and vice versa) within a specific lookback period. ​Paranormal Bar Levels (PBL): Highlights the High and Low of candles with anomalous volatility (based on 2x ATR multiplier). These are high-interest zones for institutional liquidity. ​Previous Day High/Low (PDH/PDL): Essential daily boundaries for intraday traders to gauge the current day's bias. ​Round Numbers (RN): Psychological levels (e.g., .000, .500) that act as natural magnets for price action. ​Why use this indicator? ​Clean Visualization: Each level is uniquely color-coded and labeled. ​Fully Customizable: Toggle any level type on/off and adjust calculation parameters (ATR multipliers, lookback depth, and tick tolerance). ​Efficiency: Stops the "full-screen panic" by keeping your essential levels visible and organized. ​How to use: ​Look for clusters where multiple levels (e.g., a Mirror Level + a Round Number) coincide — these are high-probability reversal zones. ​Use PBL levels to identify where big money "opened the curtain" during news events. ​Instructions for Publishing (Маленькие советы):
Wskaźnik Pine Script®
od sosedko33
eBacktesting - Learning: Cup & HandleeBacktesting - Learning: Cup & Handle The Cup & Handle is a classic continuation pattern that often appears during strong trends. It shows a market that “cools off” (the cup), then does a smaller pullback (the handle), and may be ready for another push in the original direction. This indicator helps you spot: - Potential Cup & Handle formations as they develop - When a handle forms (the final “pause” before continuation) - The breakout moment, when price pushes above the rim level It’s designed to support structured practice: you can replay charts and train your eyes to recognize the pattern, understand the context around it, and build consistent execution rules. These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Wskaźnik Pine Script®
od eBacktesting
Sessions & Key Levels {basic}Introduction Sessions & Key Levels {basic} is a streamlined key level indicator designed to provide traders with clear visual structure around intraday trading sessions and essential higher timeframe reference levels. The {basic} version focuses on the most commonly used session and price levels, helping traders identify important areas of interest without overwhelming the chart. It is ideal for traders who want a clean, reliable framework for session-based and timeframe-based analysis. Description The indicator plots the Asia, London and New York trading sessions directly on the chart, including session boxes and key session levels. Session highs and lows update dynamically while the session is active, providing real-time context as price develops. In addition to session levels, the indicator includes current and previous period levels from a single configurable timeframe. These levels highlight important open, high, low and midpoint references that are frequently respected by price and commonly used for intraday bias, structure and trade planning. The {basic} version is designed to remain visually minimal, with fixed styling and simplified settings, making it easy to use straight out of the box. Features Global session windows Asia, London and New York sessions. Custom session times. Session boxes with adaptive highs and lows. Session levels Open, high, low and midpoint per session. Automatically updates during active sessions. Clean, consistent labelling. Previous period levels One configurable timeframe. Open, high, low and midpoint of the prior period. Useful for daily or intraday reference levels. Current period levels Tracks live open, high, low and midpoint of the selected timeframe. Updates dynamically as the timeframe progresses. Simplified design Fixed line styles and colors for clarity. Dark and light theme support. Minimal settings for ease of use. Terms & Conditions This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and past performance is not indicative of future results. The user assumes full responsibility for any trading decisions made using this indicator.
Wskaźnik Pine Script®
od scriptedge
10
eBacktesting - Learning: Head & ShoulderseBacktesting - Learning: Head & Shoulders Head & Shoulders is one of the most recognizable reversal patterns in day trading. It helps you spot moments when a trend may be losing strength and a turn becomes more likely—often around a “neckline” level where the market either breaks and continues the reversal, or holds and keeps trending. This indicator highlights both: - Head & Shoulders (bearish): potential shift from bullish strength to bearish reversal - Inverse Head & Shoulders (bullish): potential shift from bearish strength to bullish reversal It marks the structure on the chart (left shoulder, head, right shoulder) and flags the moment the pattern is confirmed, so you can practice reading the story behind price action instead of guessing. These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Wskaźnik Pine Script®
od eBacktesting
Volume-Weighted FVG (Fixed)1. The Core Concept: Identifying "Institutional Footprints" FVG (Fair Value Gap): These are "gaps" or "voids" in price created by rapid movement. The market has a natural tendency to return and "fill" these gaps. The Volume Filter: Unlike standard FVGs, this tool highlights zones created with high trading volume (Strong FVG). These represent the "footprints" of institutional traders—the "Big Money" that truly moves the market. 2. Trading the "Wall": Rejection and Reversal The Rejection (Bounce): A Strong FVG acts as a powerful "wall." When price returns to this zone, unfilled orders often trigger, causing the price to bounce back (reject). The Reversal (Breakout): If this "wall" is completely breached, it triggers a cascade of stop-losses from those who bet on the bounce. This results in a violent move in the opposite direction, known as a reversal. The Retest: Once a "wall" is broken, its role flips (e.g., support becomes resistance). Trading the first retest of a broken Strong FVG is one of the highest-probability setups in scalping. 3. The Execution: High-Precision Entry To achieve a Profit Factor (PF) of 5.0+, we combine three elements: Structure: Confirm the trend using Multi-Timeframe (MTF) HH/HL (Higher Highs/Higher Lows). The Zone: Price enters a Strong FVG (Darker color). The Trigger: Enter when an Engulfing Candle breaks through the BB20 Middle Line, confirmed by an RCI 9 reversal.
Wskaźnik Pine Script®
od ogataoga
SMC + Dual UT Bot buy and sell AlertsMise a jour avec un EMA 20/50 et vwap his script is a composite indicator for TradingView (Pine Script v5) that merges Smart Money Concepts (SMC) with a Dual-instance UT Bot. It has been styled with a high-contrast "Neon Cyberpunk" theme (Cyan/Pink) and is fully compliant with the CC BY-NC-SA 4.0 license. Here is a breakdown of its two main components: 1. Smart Money Concepts (SMC) This portion, originally by LuxAlgo, is designed to identify institutional price levels and structural market shifts. It provides a detailed map of market structure rather than simple entry/exit signals. Market Structure (BOS & CHoCH): BOS (Break of Structure): Marks trend continuation (e.g., breaking a higher high in an uptrend). CHoCH (Change of Character): Marks potential trend reversals (e.g., the first time a higher low is broken in an uptrend). Order Blocks (OB): Highlights specific candles where institutional buying or selling likely occurred. These act as high-probability support/resistance zones. Neon Blue/Cyan for Bullish OBs. Neon Pink for Bearish OBs. Fair Value Gaps (FVG): Identifies imbalances (gaps) in price action where the market often returns to "fill" orders. Neon Mint for Bullish FVGs. Neon Red for Bearish FVGs. Premium/Discount Zones: Automatically plots the range equilibrium (50% level) to help you buy in "Discount" (low) and sell in "Premium" (high) areas. Liquidity (EQH/EQL): Automatically detects "Equal Highs" and "Equal Lows," which are magnets for price as they represent liquidity pools (stop losses). 2. Dual UT Bot Alerts This portion provides the actual Entry Signals. It runs two separate instances of the "UT Bot" strategy simultaneously with different sensitivity settings to filter noise. Instance 1 (Buy Only): Settings: Key Value = 4, ATR Period = 10 (Faster, more sensitive). Visual: Plots a Neon Cyan "Buy" label. Function: Looks for bullish reversals earlier to catch the start of a move. Instance 2 (Sell Only): Settings: Key Value = 7, ATR Period = 20 (Slower, smoother). Visual: Plots a Neon Pink "Sell" label. Function: Uses a wider ATR band to avoid getting shaken out of shorts too early, focusing on major downtrends. How to Use It The strength of this script is confluence. Wait for a Signal: Look for a UT Bot "Buy" or "Sell" tag. Confirm with SMC: Check if the signal aligns with SMC concepts. Example Buy: Did the UT Bot give a "Buy" signal while price was bouncing off a Bullish Order Block? Example Buy: Did price just sweep Liquidity (EQL) before the Buy signal? Example Sell: Is the "Sell" signal happening inside a Premium Zone or a Bearish Fair Value Gap? avant-hier Notes de version 1. "Pro" Badge Buy/Sell Labels The standard text signals have been replaced with modern, professional Badge Labels that provide more information at a glance. Visuals: Instead of simple text, the script now uses label.new to create high-visibility badges. BUY: A Neon Cyan badge with a Rocket icon (🚀). SELL: A Neon Pink badge with a Chart icon (📉). Price Details: Each badge displays the exact Entry Price directly on the label. Tooltips: If you hover your mouse over a Buy or Sell badge, a tooltip will appear showing the exact Take Profit (TP) and Stop Loss (SL) prices calculated for that trade. 2. Dynamic Take Profit (TP) The script now automatically calculates a profit target for every trade the moment a signal is generated. Calculation: It measures the distance between your Entry Price and the initial Stop Loss (the ATR Trailing Stop). Risk:Reward: It multiplies that distance by your chosen Risk:Reward Ratio (default is 1.5) to project a TP target. Visual Line: A Green Line is drawn on the chart at the TP level. It remains active until price hits it or the stop loss. 3. Active Trailing Stop Loss (SL) The Stop Loss is no longer static; it is now "alive" and manages the trade for you. Trailing Logic: If Use Trailing SL? is enabled (default), the SL line will automatically move up (for longs) or move down (for shorts) as the trend continues in your favor. It locks in profit by following the UT Bot's ATR trailing band. Visual Line: A Red Line is drawn at the SL level. You can see it physically step up or down on the chart as the trend progresses. 4. Real-Time Trade Simulation The script now simulates the lifecycle of a trade directly on the chart: Active State: When a trade is live, the TP and SL lines extend to the right of the current candle (bar_index + 1), showing you exactly where your exit points are in real-time. Closed State: Once the price hits either the Green TP line or the Red SL line, the script detects the "Exit." The lines stop extending and turn dotted, indicating that the trade is closed and waiting for the next signal. Summary of New Settings You will find a new group in the settings panel called "UT Bot: Trade Management": TP Risk:Reward Ratio: Adjust this to change how far the Green TP line is placed (e.g., set to 2.0 for 2x return). Use Trailing SL?: Uncheck this if you want the Red SL line to stay fixed at the initial entry risk level. avant-hier Notes de version 1. Live Strategy Performance Dashboard (Backtester) Since this is an indicator, TradingView does not automatically calculate PnL (Profit and Loss). I have built a custom Simulation Engine inside the script that tracks every UT Bot signal as if you had taken the trade. Location: Bottom Right of your chart. Win Rate: Displays the percentage of trades that hit the Take Profit target versus the Stop Loss. Trades (W/L): Shows the total number of signals generated, broken down by Wins and Losses. Net Profit (R): Calculates your theoretical profit in "R-Multiples" (Risk Units). Example: If you set your Risk:Reward to 2.0, every win adds +2R, and every loss subtracts -1R. Dynamic Colors: The Win Rate and Profit cells turn Neon Cyan if positive (>50% or >0R) and Neon Pink if negative. 2. Multi-Timeframe Trend Dashboard A new panel at the Top Right gives you an instant "Market Bias" reading so you don't have to scan the whole chart. SMC Trend: Reads the Smart Money structure (Break of Structure/Change of Character) to determine if the high-level timeframe is BULLISH or BEARISH. UT Bot Status: Displays the current active signal state: BUY (Active): You are currently in a Long trade. SELL (Active): You are currently in a Short trade. NEUTRAL: No active signal or the last trade hit TP/SL. 3. Integrated Alert System I have connected the visual lines to the alert system. You can now set a single alert on this indicator, and it will trigger for: Entry Signals: "UT Long Entry" / "UT Short Entry" Exits: "Take Profit Hit" / "Stop Loss Hit" 4. Consolidated Settings To make the script easier to manage, I organized the settings into clear groups: Dashboards: Toggle the visibility of the new panels or move the Performance Panel to a different corner. UT Bot: Trade Management: Quickly adjust your Risk:Reward Ratio (e.g., change from 1.5 to 2.0) to see how it affects your Win Rate in real-time on the dashboard. avant-hier Notes de version 1. Multi-Timeframe (MTF) Trend Scanner I have replaced the basic "Market Bias" panel with a comprehensive MTF Trend Dashboard located at the Top Right of your chart. What it tracks: It simultaneously monitors the trend direction on 5 distinct timeframes: 15 Minute 1 Hour 4 Hour Daily Weekly How it works: It runs a background calculation (using UT Bot settings Key=5, ATR=15) on these higher timeframes without you needing to switch charts. Visuals: BULLISH: Highlighted in Neon Cyan. BEARISH: Highlighted in Neon Pink. 2. Strategic Confluence (How to use it) This new dashboard transforms the script from a simple "signal generator" into a complete trading system by allowing you to filter trades based on the bigger picture. The "All-Green" Rule: If you are scalping on a 5-minute chart and you get a BUY signal, check the dashboard. If the 1H, 4H, and Daily are all Neon Cyan (Bullish), that trade has a significantly higher probability of success. Avoid Counter-Trend Trades: If your main chart says BUY, but the dashboard shows the 4H and Daily are Neon Pink (Bearish), you are trading against the major trend. You might want to skip that trade or reduce your risk size. 3. Summary of Dashboards You now have two professional-grade panels on your screen: Bottom Right (Performance): Shows the past results of the strategy on your current timeframe (Win Rate, Profit Factor). Top Right (Trend): Shows the current state of the market across all timeframes.
Wskaźnik Pine Script®
od stephneguiroa
BB Re-entry HUD1) What this script does This indicator is an BB Re-entry HUD Core idea: Price sweeps outside BB (often liquidity wick sweep) Re-enters back inside BB within 1–2 bars Multiple ELITE++ filters reduce fake signals HUD scores follow-through strength (trend & momentum confirmation) 2) ELITE++ Re-entry Signal Logic A BUY/SELL signal is triggered when: One of the previous 1–2 bars moved outside BB (wick or close, selectable) Current bar re-enters BB (optionally requires close inside) Optional filters confirm signal quality: Outside depth minimum (% of BB width) Candle direction confirmation (Buy=green, Sell=red) Re-entry close crosses previous candle 50% Zone filter near BB edges Touch filter: wick touches the band Squeeze → Expand regime requirement Cooldown to avoid rapid repeat signals 3) Trade Power HUD (0–5 Scoring) After a signal, HUD evaluates either on the next bar (recommended) or the same bar. Score components (1 point each): Structure: short-term structure aligns with direction Impulse Body: body > average body Volume: volume > volume MA BB Trend + Expand: price on trend side + BB width expanding RSI + ATR: RSI threshold + ATR expanding Interpretation: 4–5/5 = STRONG → Hold / Trail 2–3/5 = MID → Take partial / be cautious 0–1/5 = WEAK → Higher chance of fakeout 4) How to use (practical) Enable BB plots and arrows Wait for BUY/SELL signal Check HUD score: 4–5: higher follow-through probability 2–3: quick TP / reduced size 0–1: skip or wait for better confirmation Works well on 5m–15m (intraday) and 1H (smoother swings). 5) Notes This is not a standalone holy grail—best used with support/resistance and market structure context. Volatile news periods may produce multiple band breaks—use squeeze/cooldown filters accordingly.
Wskaźnik Pine Script®
od Roongee