始めましょう

Pressure

Thermal Momentum Gauge [JOAT]Thermal Momentum Gauge Introduction The Thermal Momentum Gauge is an open-source institutional-grade pressure and volatility monitoring system that combines market pressure measurement, volatility temperature analysis, volume steam detection, and multi-factor explosion identification into a unified oscillator. This sophisticated system integrates multiple proven momentum methodologies to identify high-probability explosive move conditions where pressure, temperature, and steam factors converge. The indicator is designed for traders who understand that explosive market moves occur when multiple pressure systems align simultaneously. By synthesizing RSI pressure, WaveTrend momentum, Money Flow Index analysis, Stochastic pressure, ATR temperature, Bollinger Band width, volume steam detection, and confluence scoring, this tool helps identify structural market explosion points with thermal precision. Why This Integration Exists This indicator combines seven distinct pressure and volatility measurement frameworks that complement each other: Multi-Component Pressure System: Combines RSI, WaveTrend, MFI, and Stochastic RSI for comprehensive pressure measurement Thermal Temperature Analysis: Uses ATR and Bollinger Band width to measure market volatility temperature Volume Steam Detection: Analyzes volume spikes and directional volume pressure for steam identification Explosion Detection Engine: Multi-factor confluence system that identifies when all pressure systems align Momentum Confirmation System: Ensures signals occur at genuine turning points through momentum analysis Pressure Zone Classification: Defines thermal zones from extreme oversold to extreme overbought Signal Filtering System: Prevents overlapping signals while maintaining precision timing Each component addresses different aspects of market thermal dynamics. Pressure measurement reveals directional bias, temperature analysis shows volatility energy, steam detection indicates volume explosions, and confluence scoring quantifies setup quality. Together, they create a comprehensive thermal view that traditional single-dimension momentum indicators cannot provide. Core Components Explained 1. Multi-Component Pressure System (0-100 Scale) The system combines four pressure measurements for comprehensive analysis: RSI Pressure: RSI Pressure = RSI(close, rsi_length) // Standard 0-100 scale WaveTrend Pressure: ESA = ema(hlc3, wt_channel_length) D = ema(abs(hlc3 - ESA), wt_channel_length) CI = (hlc3 - ESA) / (0.015 * D) WT1 = ema(CI, wt_average_length) WT Pressure = (WT1 + 100) / 2 // Normalize -100 to 100 → 0 to 100 MFI Pressure: MFI Pressure = MFI(hlc3, mfi_length) // Money Flow Index 0-100 Stochastic RSI Pressure (Optional): Stochastic RSI = Stochastic(RSI(close, rsi_length), stoch_length) Stoch Pressure = sma(Stochastic RSI, 3) Combined Pressure: Total Pressure = (RSI + WT + MFI + Stoch) / 4 // With Stochastic Total Pressure = (RSI + WT + MFI) / 3 // Without Stochastic 2. Thermal Temperature System (0-100 Scale) Measures market volatility energy through dual methods: ATR-Based Temperature: ATR Percentage = (ATR(atr_length) / close) * 100 ATR Temperature = ATR Percentage * temperature_multiplier Bollinger Band Width Temperature (Optional): BB Basis = sma(close, bb_length) BB Deviation = bb_multiplier * stdev(close, bb_length) BB Width = ((BB Upper - BB Lower) / BB Basis) * 100 BB Temperature = BB Width * 5 // Scale to 0-100 Combined Temperature: Temperature = min((ATR Temperature + BB Temperature) / 2, 100) // With BB Temperature = min(ATR Temperature, 100) // Without BB 3. Volume Steam Detection (0-100 Scale) Analyzes volume explosions and directional pressure: Volume Steam Base: Volume Ratio = volume / sma(volume, volume_length) Steam Base = Volume Ratio * 50 Volume Delta (Optional): Buy Volume = close > open ? volume : 0 Sell Volume = close < open ? volume : 0 Volume Delta = (Buy Volume - Sell Volume) / volume * 50 Combined Steam: Steam = min(Steam Base + abs(Volume Delta), 100) Steam Classifications: - Steam Burst: Steam > steam_threshold (default 80) - Extreme Steam: Steam > 90 - Volume Spike Direction: Bullish (close > open) or Bearish (close < open) 4. Explosion Detection Engine Multi-factor confluence system with momentum confirmation: Momentum Confirmation: Pressure Momentum = change(Total Pressure) Pressure Acceleration = change(Pressure Momentum) Momentum Shift = (momentum > 0 AND momentum <= 0) OR (momentum < 0 AND momentum >= 0) Confluence Score (0-5): Confluence Components: - Pressure Factor: Total Pressure > pressure_threshold ? 1 : 0 - Temperature Factor: Temperature > temperature_threshold ? 1 : 0 - Steam Factor: Steam > steam_threshold ? 1 : 0 - WaveTrend Extreme: WT Pressure > 80 OR WT Pressure < 20 ? 1 : 0 - Extreme Steam: Steam > 90 ? 1 : 0 Confluence Score = Sum of all factors (0-5) Explosion Conditions: Explosion = Confluence Score >= minimum_confluence AND (Momentum Shift OR abs(Pressure Acceleration) > 2) Bull Explosion = Explosion AND Total Pressure > 50 AND Pressure Momentum > 0 Bear Explosion = Explosion AND Total Pressure < 50 AND Pressure Momentum < 0 Perfect Explosion (Rare): Perfect Explosion = Confluence Score == 5 AND abs(Pressure Momentum) > 3 Perfect Bull = Perfect Explosion AND Total Pressure > 50 AND Pressure Momentum > 0 Perfect Bear = Perfect Explosion AND Total Pressure < 50 AND Pressure Momentum < 0 5. Thermal Zone Classification The system defines seven thermal pressure zones: Extreme Overbought: Pressure > 80 (Critical thermal level) Overbought: Pressure 70-80 (High thermal level) Neutral High: Pressure 55-70 (Warm thermal level) Equilibrium: Pressure 45-55 (Neutral thermal zone) Neutral Low: Pressure 30-45 (Cool thermal level) Oversold: Pressure 20-30 (Low thermal level) Extreme Oversold: Pressure < 20 (Critical thermal level) 6. Signal Filtering System Prevents overlapping signals while maintaining precision: Minimum Bars Between Signals = 8 Signal Filtering Logic: - Perfect signals take priority over regular explosions - Regular explosions are filtered if perfect signal occurred recently - Warning signals are filtered if explosion signals are active - Steam bursts are filtered to minimum 3 bars apart Visual Elements Thermal Pressure Wave: Main oscillator with thermal gradient coloring and glow effects Component Pressures: Individual RSI, WT, MFI, and Stochastic lines (hidden by default) Temperature Background: Heat map style background coloring based on volatility temperature Steam Burst Histograms: Volume spike visualization with directional coloring Thermal Zone References: Critical levels at 20, 30, 50, 70, 80 with neutral zone highlighting Explosion Markers: Diamond shapes for perfect explosions, triangles for regular explosions Warning Signals: Circle markers for approaching explosion conditions Pressure Meter: Visual gauge showing current pressure level with thermal gradient Dashboard: Comprehensive real-time display of all thermal components and status How Components Work Together The integration creates a thermal momentum analysis approach: Layer 1 - Pressure Measurement: Multi-component system reveals directional pressure across four dimensions Layer 2 - Temperature Analysis: Volatility measurement shows market energy and expansion potential Layer 3 - Steam Detection: Volume analysis identifies explosive energy release conditions Layer 4 - Momentum Confirmation: Ensures signals occur at genuine turning points, not random noise Layer 5 - Confluence Scoring: Quantifies setup quality by counting aligned factors Layer 6 - Explosion Detection: Identifies rare moments when all thermal systems align Layer 7 - Signal Filtering: Prevents overlap while maintaining precision timing Example scenario: Pressure reaches extreme oversold (Layer 1) with high temperature (Layer 2), volume steam burst (Layer 3), momentum shift confirmation (Layer 4), confluence score of 5 (Layer 5), triggering perfect bull explosion (Layer 6) with proper signal filtering (Layer 7). This represents maximum thermal alignment for explosive upward move. Input Parameters Pressure Settings: RSI Length: Period for RSI calculation (default: 14) WT Channel Length: WaveTrend channel period (default: 10) WT Average Length: WaveTrend smoothing period (default: 21) MFI Length: Money Flow Index period (default: 14) Stochastic Length: Stochastic RSI period (default: 14) Use Stochastic Pressure: Toggle fourth pressure component Temperature Settings: ATR Length: Average True Range period (default: 14) Temperature Multiplier: Sensitivity adjustment (default: 10.0) Use Bollinger Band Width: Toggle BB width temperature component BB Length: Bollinger Band period (default: 20) BB Multiplier: Bollinger Band deviation (default: 2.0) Volume Settings: Volume MA Length: Volume average period (default: 20) Steam Threshold: Volume spike multiplier (default: 2.0) Use Volume Delta: Toggle directional volume analysis Show Volume Spikes: Toggle volume spike visualization Explosion Settings: Pressure Threshold: Minimum pressure for explosion (default: 80) Temperature Threshold: Minimum temperature for explosion (default: 70) Steam Threshold: Minimum steam for explosion (default: 80) Minimum Confluence Score: Required factors for explosion (default: 3) Show Explosion Warnings: Toggle warning markers How to Use This Indicator Step 1: Assess Thermal Pressure Check the main pressure gauge and current thermal zone classification in the dashboard. Step 2: Monitor Temperature Levels High temperature (>70) indicates market energy building for potential explosive moves. Step 3: Watch for Steam Bursts Volume steam bursts (>80) show explosive energy release with directional bias. Step 4: Check Confluence Score Scores ≥3 indicate multiple thermal factors aligning for explosion potential. Step 5: Wait for Momentum Confirmation Explosions require momentum shifts or acceleration to confirm genuine turning points. Step 6: Identify Explosion Signals Perfect explosions (diamond markers) offer highest probability, regular explosions (triangles) offer good probability. Step 7: Monitor Warning Signals Warning markers indicate approaching explosion conditions - prepare for potential signals. Best Practices Use on 15-minute to 4-hour timeframes for optimal thermal detection Focus on extreme thermal zones (<20 or >80) for highest explosion probability Perfect explosions are rare but offer exceptional risk:reward opportunities Temperature confirmation adds conviction to pressure-based signals Steam direction (bullish/bearish) should align with expected explosion direction Confluence scores ≥4 significantly increase explosion probability Warning signals help prepare for upcoming explosion opportunities Thermal zone transitions often precede significant price movements Indicator Limitations Thermal pressure can remain extreme longer than expected during strong trends Perfect explosions are rare - patience required for highest probability setups Temperature spikes during news events may create false explosion signals Steam bursts don't guarantee immediate price movement - timing varies Confluence scoring is mathematical, not predictive of future performance Component pressures may conflict, requiring interpretation skills Signal filtering may delay signals in rapidly changing market conditions Requires understanding of multi-factor thermal analysis concepts Technical Implementation Built with Pine Script v6 using: Multi-component pressure calculation with optional Stochastic RSI integration Dual-method temperature analysis using ATR and Bollinger Band width Advanced volume steam detection with directional bias measurement Multi-factor confluence scoring system with momentum confirmation Thermal gradient coloring system with glow effects and heat map backgrounds Anti-overlap signal filtering with priority-based signal management Real-time pressure meter visualization with thermal zone classification Comprehensive dashboard with component breakdown and explosion status The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its thermal momentum integration approach. While individual components (RSI, WaveTrend, MFI, ATR, volume analysis) are established concepts, this integration is justified because: It synthesizes seven distinct thermal and momentum methodologies into a unified system The multi-component pressure system provides comprehensive momentum analysis beyond single indicators Thermal temperature analysis combines volatility measurements for energy assessment Volume steam detection adds explosive energy context to momentum signals Multi-factor confluence scoring quantifies setup quality across all thermal dimensions Perfect explosion detection identifies rare, high-probability explosive move conditions Each component contributes unique thermal information: pressure measurement reveals directional momentum, temperature analysis shows volatility energy, steam detection indicates volume explosions, confluence scoring quantifies alignment, and momentum confirmation ensures signal quality. The integration's value lies in identifying moments when all thermal systems align simultaneously for explosive market moves. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Thermal momentum analysis and explosion detection are analytical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and thermal patterns that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® インジケーター
officialjackofalltradesの投稿
Polarity Divergence Scanner [JOAT]Polarity Divergence Scanner Introduction The Polarity Divergence Scanner is an open-source advanced market polarity detection system that measures bullish and bearish pressure across four distinct market dimensions: price action, volume flow, momentum dynamics, and volatility expansion. This sophisticated oscillator integrates multiple pressure measurement techniques to detect polarity shifts, divergences, and pressure extremes with visual heatmap representation. The indicator is designed for traders who understand that market movements are driven by the constant battle between bullish and bearish forces across multiple dimensions. By synthesizing price polarity, volume polarity, momentum polarity, and volatility polarity into a composite index, this tool helps identify structural market turning points where pressure imbalances create high-probability reversal opportunities. Why This Integration Exists This indicator combines four distinct polarity measurement frameworks that complement each other: Price Polarity Analysis: Measures directional pressure from pure price action using range-normalized calculations Volume Polarity Tracking: Analyzes buying versus selling pressure through volume flow dynamics Momentum Polarity Detection: Combines RSI and MACD analysis to measure acceleration-based pressure Volatility Polarity Assessment: Tracks expansion versus contraction pressure through ATR analysis Each component addresses different aspects of market pressure dynamics. Price polarity reveals directional bias, volume polarity shows institutional flow, momentum polarity indicates acceleration changes, and volatility polarity measures market energy. Together, they create a comprehensive view of market pressure that traditional single-dimension indicators cannot provide. Core Components Explained 1. Price Polarity Engine Measures directional pressure from price movement: Price Change = close - close Price Range = highest(high, polarity_period) - lowest(low, polarity_period) Price Polarity = (Price Change / Price Range) * 100 Smoothed Price Polarity = ema(Price Polarity, smoothing) This calculation normalizes price movement against the recent range, providing a -100 to +100 scale where positive values indicate bullish pressure and negative values indicate bearish pressure. 2. Volume Polarity System Analyzes buying versus selling pressure through volume flow: Bull Volume = close > open ? volume : 0 Bear Volume = close < open ? volume : 0 Volume Polarity = ((sma(Bull Volume, period) - sma(Bear Volume, period)) / sma(Total Volume, period)) * 100 This reveals institutional flow direction by comparing accumulation (buying) volume against distribution (selling) volume over the specified period. 3. Momentum Polarity Calculator Combines RSI and MACD for comprehensive momentum analysis: RSI Polarity = (RSI - 50) * 2 // Scale to -100 to +100 MACD Histogram Normalized = (MACD Histogram / stdev(MACD Histogram, period)) * 30 Momentum Polarity = (RSI Polarity + MACD Normalized) / 2 This dual-momentum approach captures both relative strength (RSI) and trend acceleration (MACD) components. 4. Volatility Polarity Tracker Measures expansion versus contraction pressure: ATR Change = current ATR - ATR ATR Average = sma(ATR, polarity_period) Volatility Polarity = (ATR Change / ATR Average) * 100 Positive values indicate expanding volatility (energy building), while negative values show contracting volatility (energy dissipating). 5. Composite Polarity Index Weighted combination of all polarity dimensions: Composite Polarity = (Price Polarity * 0.35) + (Volume Polarity * 0.25) + (Momentum Polarity * 0.30) + (Volatility Polarity * 0.10) Final Polarity = ema(Composite Polarity, smoothing) * sensitivity The weighting emphasizes price and momentum while incorporating volume flow and volatility context. 6. Pressure Zone Classification The system defines seven distinct pressure zones: Extreme Bull Zone: Polarity ≥ 70 (Intense bullish pressure) Strong Bull Zone: Polarity 40-69 (Solid bullish pressure) Weak Bull Zone: Polarity 1-39 (Mild bullish pressure) Neutral Zone: Polarity = 0 (Equilibrium state) Weak Bear Zone: Polarity -1 to -39 (Mild bearish pressure) Strong Bear Zone: Polarity -40 to -69 (Solid bearish pressure) Extreme Bear Zone: Polarity ≤ -70 (Intense bearish pressure) 7. Polarity Shift Detection The system identifies four types of polarity shifts: Polarity Flips: Crosses zero line with sufficient strength (>30) Polarity Acceleration: Increasing momentum in extreme zones (>50 or <-50) Polarity Exhaustion: Weakening momentum in extreme zones (>80 or <-80) Pressure Temperature: Volatility-adjusted intensity measurement 8. Advanced Divergence Detection Uses pivot-based analysis to identify polarity divergences: Bullish Polarity Divergence: Price makes lower low while polarity makes higher low Bearish Polarity Divergence: Price makes higher high while polarity makes lower high Divergences are filtered by minimum polarity strength to ensure significance. Visual Elements Composite Polarity Wave: Main oscillator with advanced gradient coloring and triple-layer glow effect Individual Polarity Lines: Price, volume, and momentum polarity components Polarity Strength Histogram: Background columns showing absolute polarity strength Pressure Zone Backgrounds: Dynamic gradient backgrounds based on polarity intensity Reference Lines: Critical levels at ±40, ±70, and ±100 with neutral zone highlighting Polarity Shift Markers: Circles for flips, triangles for acceleration, X-crosses for exhaustion Divergence Diamonds: Large diamond markers for confirmed polarity divergences Dashboard: Comprehensive real-time display of all polarity components and signal status How Components Work Together The integration creates a multi-dimensional pressure analysis: Layer 1 - Price Pressure: Directional bias from pure price movement Layer 2 - Volume Pressure: Institutional flow through buying/selling volume Layer 3 - Momentum Pressure: Acceleration and relative strength dynamics Layer 4 - Volatility Pressure: Energy expansion/contraction context Layer 5 - Composite Analysis: Weighted combination revealing overall market polarity Layer 6 - Shift Detection: Identification of polarity transitions and extremes Layer 7 - Divergence Analysis: Price-polarity disconnects signaling potential reversals Example scenario: Price makes a new high (Layer 1) but volume polarity weakens (Layer 2), momentum polarity diverges (Layer 3), and volatility contracts (Layer 4). The composite polarity (Layer 5) shows bearish divergence (Layer 7) with exhaustion signals (Layer 6), indicating high reversal probability. Input Parameters Polarity Core: Polarity Period: Base period for polarity calculations (default: 14) Smoothing: Smoothing factor for polarity waves (default: 3) Sensitivity: Signal sensitivity multiplier (default: 1.5) Divergence Detection: Pivot Lookback: Bars for pivot detection (default: 5) Min Divergence Strength: Minimum polarity strength for signals (default: 60) Visual Settings: Show Polarity Waves: Toggle main polarity display Show Pressure Zones: Toggle background zone coloring Show Divergence Markers: Toggle divergence signals Show Polarity Shifts: Toggle shift detection markers How to Use This Indicator Step 1: Assess Overall Polarity Check the composite polarity level and current pressure zone classification in the dashboard. Step 2: Identify Pressure Extremes Look for extreme bull (>70) or extreme bear (<-70) zones where reversals are more likely. Step 3: Monitor Polarity Shifts Watch for polarity flips (zero line crosses), acceleration in extreme zones, or exhaustion signals. Step 4: Analyze Component Divergences Check if individual polarity components (price, volume, momentum) are aligned or diverging. Step 5: Detect Polarity Divergences Look for diamond markers indicating price-polarity divergences - these often precede major reversals. Step 6: Confirm with Pressure Temperature High pressure temperature (volatility-adjusted intensity) adds conviction to polarity signals. Step 7: Wait for Confluence Best setups occur when multiple factors align: extreme zones + polarity shifts + divergences + high temperature. Best Practices Use on 15-minute to 4-hour timeframes for optimal polarity detection Focus on extreme zones (>70 or <-70) for highest probability reversals Polarity flips provide early trend change signals with good risk:reward Divergences in extreme zones offer exceptional reversal opportunities Acceleration signals in extreme zones often precede explosive moves Exhaustion signals warn of potential polarity reversals before they occur High pressure temperature adds conviction to all polarity signals Component analysis helps understand the source of polarity changes Indicator Limitations Polarity can remain extreme longer than expected during strong trends Divergences may take time to resolve - patience is required Extreme zones don't guarantee immediate reversals - timing is crucial Component polarity may conflict, requiring interpretation skills Pressure temperature can spike during news events, creating false signals Polarity shifts may be brief and require quick decision-making Performance varies across different market conditions and volatility regimes Requires understanding of multi-dimensional pressure analysis concepts Technical Implementation Built with Pine Script v6 using: Multi-dimensional polarity calculation across four market aspects Advanced gradient coloring system with triple-layer glow effects Pivot-based divergence detection with strength filtering Dynamic pressure zone classification with background visualization Real-time polarity shift detection with multiple signal types Comprehensive dashboard with component breakdown and signal status Anti-overlap filtering to prevent signal clustering Pressure temperature calculation for volatility-adjusted intensity The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its multi-dimensional polarity approach. While individual components (RSI, MACD, volume analysis, ATR) are established concepts, this integration is justified because: It synthesizes four distinct polarity dimensions that address different market pressure aspects The composite polarity index provides a unified view of market pressure across multiple dimensions Advanced polarity shift detection identifies transitions before they become obvious in price Polarity divergence analysis reveals price-pressure disconnects that traditional indicators miss Pressure zone classification provides quantitative framework for market state assessment Pressure temperature adds volatility context to polarity intensity measurements Each component contributes unique polarity information: price polarity shows directional bias, volume polarity reveals institutional flow, momentum polarity indicates acceleration, and volatility polarity measures energy. The integration's value lies in identifying moments when these pressure dimensions align or diverge, creating high-probability trading opportunities. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Polarity analysis and divergence detection are analytical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and polarity patterns that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® インジケーター
officialjackofalltradesの投稿
Trend Pressure Prism [LuxAlgo]The Trend Pressure Prism indicator is a comprehensive trend-analysis tool that synthesizes momentum, market structure, and pullback quality into a single composite oscillator to identify high-conviction trading opportunities. 🔶 USAGE The indicator operates as a "prism," refracting price action through three distinct lenses to determine the total pressure behind a market move. Users can monitor the central ribbon to gauge trend strength and the "Agreement" metric to identify how unified the underlying forces are. 🔹 Trend States & Conviction The oscillator fluctuates between -100 and 100. When the ribbon enters the "Extreme Zones" (above 80 or below -80), the background glows, signaling a period of high conviction. Bullish Conviction: High positive pressure with unified agreement among the three pillars. Bearish Conviction: High negative pressure with unified agreement among the three pillars. Exhaustion: Occurs when the pressure score remains high but agreement drops below 50%, suggesting a potential reversal or thinning liquidity. 🔹 Filtered Crossover signals The indicator includes a Signal Line (EMA) that generates entry and exit cues. To ensure only high-quality opportunities are highlighted, signals are filtered by primary conditions: Relative Volume (RVOL): Ensures the move is backed by institutional participation. Agreement Filter: Requires a minimum level of harmony between momentum and structure. Dynamic Sizing: Signals are plotted as circles on the ribbon. Their size and opacity scale based on volume—larger, solid circles represent high-volume breakouts, while smaller circles indicate standard filtered moves. 🔶 DETAILS The script is built upon three core components that form the Composite Pressure Score: Momentum Drive: Measures the aggression of price movement using a normalized Rate of Change. Structural Alignment: Analyzes price position relative to fast and slow EMAs to ensure the trend has structural support. Pullback Quality: Evaluates the health of retracements by analyzing where price sits within its recent range. The Agreement metric calculates the mathematical harmony between these three components. High agreement suggests a "perfect storm" where all three factors point in the same direction, increasing the probability of a sustained move. 🔹 Dashboard Information The on-screen dashboard provides a real-time summary of the market's technical state: Current State: Identifies the market regime, such as "Bullish/Bearish Conviction," "Exhaustion" (divergent forces), or "Glass / Neutral" (low-conviction environments). Action: Provides a suggested context based on the prism's logic. This includes "Bullish/Bearish Cross" for potential entries, "Hold" for trending environments with high agreement, and "Wait" for low-conviction periods. Pressure Score: The numerical value of the composite oscillator (-100 to 100). Agreement: A percentage representing how unified the three internal forces are. Higher percentages indicate stronger confluence. 🔶 SETTINGS 🔹 Calculation Settings Lookback Period: Determines the window used for momentum, structure, and range calculations. Prism Sensitivity: Controls how reactive the normalized scores are to price changes. Min Signal RVOL: The volume threshold required to trigger a signal circle (e.g., 1.2 requires 20% above average volume). Min Signal Agreement: The required harmony between the 3 pillars (0.0 to 1.0) for a signal to appear. 🔹 Visual Settings Prism Opacity: Adjusts the transparency of the central ribbon and conviction glows. Enable Dashboard: Toggles the on-screen information panel. Position/Size: Controls the placement and scale of the dashboard UI.
Pine Script® インジケーター
LuxAlgoの投稿
2
Time Pressure ZonesTime Pressure Zones is a multi‑purpose candle and volume‑based indicator that highlights moments when markets are likely being driven by urgency rather than routine trading flow. **Overview** Detects sequences of strong, one‑directional candles accompanied by volume spikes to approximate institutional time pressure (forced buying or selling). Paints subtle background zones, labels, and a net‑pressure histogram so you can see when aggressive flow is building or exhausting across any instrument and timeframe. **Core Logic** A bar is tagged “strong” when its real body occupies at least a user‑defined percentage of the full high‑low range, filtering out indecision candles and long‑wick noise. Volume is compared to a rolling 20‑bar average; only bars with volume above a configurable multiple are treated as meaningful participation, which makes the tool adapt to different symbols and sessions. The script counts consecutive bars that are both strong and high‑volume in the same direction, then flags a time‑pressure event once a set fraction of the lookback has been reached (e.g., 2 out of 3, 3 out of 5). **Visual Outputs** Background shading: green or red bands mark active bullish or bearish time‑pressure windows without overpowering other tools on the chart. On‑chart labels: “↑ Time Pressure” and “↓ Time Pressure” appear only on the first bar of a new pressure sequence, ideal for alerts and discretionary entries. Net Pressure histogram: plots the difference between bullish and bearish streak counts, giving a quick at‑a‑glance sense of which side currently dominates. **Sessions and News** Uses UTC‑based logic to highlight London and New York open and close windows, where institutional flows and intraday “deadline” behavior tend to cluster. Includes a manual News Window toggle so you can mark high‑impact event periods (CPI, FOMC, NFP, etc.), aligning tape‑based urgency with scheduled catalysts. **How To Use** Look to join moves when fresh time‑pressure labels print into session opens, breakouts, or key levels, rather than fading them. Tune the three main inputs per market and timeframe: lower thresholds for choppy or thin markets, and higher body/volume requirements for very liquid symbols like major indices or BTC pairs.
Pine Script® インジケーター
uzair2joinの投稿
2
APC HIRO Proxy Flow PressureAP Capital – HIRO Proxy (Flow Pressure) AP Capital – HIRO Proxy is a price- and volume-based flow pressure oscillator designed to approximate institutional hedging / directional pressure using only native chart data. ⚠️ This is a proxy model. It does not use options-market data or real SpotGamma HIRO feeds. 🔍 What this indicator does The indicator measures directional efficiency × volume pressure on every bar, accumulates it intraday, and then normalizes the result using a Z-score so it adapts cleanly across symbols and timeframes. The output is displayed as candle-style pressure bars, making momentum shifts and pressure flips visually obvious. 🧠 Core Logic Directional Efficiency Measures how effectively price closes within its candle range Strong closes near highs/lows increase pressure Volume Weighting Pressure is weighted by volume (optionally logarithmic) Prevents single spikes from distorting the signal Cumulative Flow Pressure accumulates bar-by-bar Optional daily reset for intraday trading Z-Score Normalization Normalizes pressure relative to recent history Allows consistent thresholds across assets 📊 How to read the indicator Green candles above zero → Net bullish pressure (buyers in control) Red candles below zero → Net bearish pressure (sellers in control) Zero line → Neutral balance / transition zone ±1 / ±2 Z-Bands → Elevated or extreme pressure conditions Triangle signals ▲ Up Pressure → Z-score crosses above positive threshold ▼ Down Pressure → Z-score crosses below negative threshold ⚙️ Inputs & Controls Core Smoothing length Z-score lookback Log-volume weighting Daily reset toggle Filters ATR-based dead-market filter ATR length Display Zero line on/off Z-score bands on/off Signal threshold control 📈 Best use cases Intraday momentum confirmation Detecting pressure shifts before breakouts Trend continuation filtering Compression → expansion environments Pairing with structure, VWAP, EMAs, or session levels 🚫 What this indicator is NOT Not real options flow Not SpotGamma HIRO Not predictive on its own This tool is designed to support decision-making, not replace risk management. ⚠️ Disclaimer This indicator is provided for educational purposes only. No financial advice. Trading involves risk.
Pine Script® インジケーター
APCapitalTradingの投稿
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure. It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment. █ USAGE MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned? For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates. For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail. 🔹 The 4-State Model The indicator classifies markets into four distinct regimes: • Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation. • Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion. • Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing. • Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals. 🔹 Reading the Pressure Histogram The histogram displays the composite Pressure Score (range approximately -100 to +100): • Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported. • Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained. • Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise. 🔹 The 5-Stage Calculation MPR synthesizes five analytical stages into the final state: 1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price. 2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop. 3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption. 4. Composite Pressure: Combines follow-through and compression into a single directional score. 5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering. █ SETTINGS Core Settings • ATR Length: Period for volatility normalization. Default 14. • Baseline Lookback: Period for compression and efficiency baselines. Default 20. • Volume Average Length: Period for stress calculation baseline. Default 20. State Classification • Release Threshold: Pressure score above this = Release. Default +5. • Suppressed Threshold: Pressure score below this = Suppressed. Default -5. • Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30. • Persistence Bars: Bars required to confirm state change. Default 3. • Stability Lookback: Period for stability calculation. Default 20. • Stability Threshold: Below this = forced Transition state. Default 0.5. Visual Settings • Show Pressure Histogram: Display the main pressure score histogram. • Show Zero Line: Display the zero reference line. • Show Background Tint: Subtle background color by state (default OFF). Data Window • Show Data Window Values: Export all calculated scores for analysis. █ INTERPRETATION GUIDE When to Use Trend Strategies (Release): • Histogram tall and positive • Teal coloring confirmed • Price making efficient higher highs or lower lows When to Use Mean Reversion (Suppressed): • Histogram flat or negative • Grey coloring confirmed • Price oscillating without follow-through When to Wait (Transition): • Amber coloring • Mixed signals — don't force trades • Wait for state to resolve When to Expect Reversals (Trap): • Magenta coloring • High volume moves that don't stick • Often occurs at structural inflection points █ COMPLEMENTARY TOOLS MPR pairs well with: • Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime • Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection • Market Efficiency Ratio (MER) — Validates follow-through quality █ SUITABLE MARKETS Works across all liquid markets: • Equities: SPY, QQQ, liquid single stocks • Futures: ES, NQ, CL, GC • Crypto: BTC, ETH • Forex: Major pairs Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions. █ OPEN SOURCE This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Pine Script® インジケーター
Interakktiveの投稿
1
DAO - Demand Advanced Oscillator# DAO - Demand Advanced Oscillator ## 📊 Overview DAO (Demand Advanced Oscillator) is a powerful momentum oscillator that measures buying and selling pressure by analyzing consecutive high-low relationships. It helps identify market extremes, divergences, and potential trend reversals. **Values range from 0 to 1:** - **Above 0.70** = Overbought (potential reversal down) - **Below 0.30** = Oversold (potential reversal up) - **0.30 - 0.70** = Neutral zone --- ## ✨ Key Features ✅ **Automatic Divergence Detection** - Bullish divergences (price lower low + DAO higher low) - Bearish divergences (price higher high + DAO lower high) - Visual lines connecting divergence points ✅ **Multi-Timeframe Analysis** - View higher timeframe DAO on current chart - Perfect for trend alignment strategies ✅ **Signal Line (EMA)** - Customizable EMA for trend confirmation - Crossover signals for momentum shifts ✅ **Real-Time Statistics Dashboard** - Current DAO value - Market status (Overbought/Oversold/Neutral) - Trend direction indicator ✅ **Complete Alert System** - Overbought/Oversold signals - Bullish/Bearish divergences - Signal line crosses - Level crosses ✅ **Fully Customizable** - Adjustable periods and levels - Customizable colors and zones - Toggle features on/off --- ## 📈 Trading Signals ### 1. Divergences (Most Powerful) **Bullish Divergence:** - Price makes lower low - DAO makes higher low - Signal: Strong reversal up likely **Bearish Divergence:** - Price makes higher high - DAO makes lower high - Signal: Strong reversal down likely ### 2. Overbought/Oversold **Overbought (>0.70):** - Market may be overextended - Consider taking profits or looking for shorts - Can remain overbought in strong trends **Oversold (<0.30):** - Market may be oversold - Consider buying opportunities - Can remain oversold in strong downtrends ### 3. Signal Line Crossovers **Bullish Cross:** - DAO crosses above signal line - Momentum turning positive **Bearish Cross:** - DAO crosses below signal line - Momentum turning negative ### 4. Level Crosses **Cross Above 0.30:** Exiting oversold zone (potential uptrend) **Cross Below 0.70:** Exiting overbought zone (potential downtrend) --- ## ⚙️ Default Settings 📊 Oscillator Period: 14 Number of bars for calculation 📈 Signal Line Period: 9 EMA period for signal line 🔴 Overbought Level: 0.70 Upper threshold 🟢 Oversold Level: 0.30 Lower threshold 🎯 Divergence Detection: ON Auto divergence identification ⏰ Multi-Timeframe: OFF Higher TF overlay (optional) All parameters are fully customizable! --- ## 🔔 Alerts Six pre-configured alerts available: 1. DAO Overbought 2. DAO Oversold 3. DAO Bullish Divergence 4. DAO Bearish Divergence 5. DAO Signal Cross Up 6. DAO Signal Cross Down **Setup:** Right-click indicator → Add Alert → Choose condition --- ## 💡 How to Use ### Best Practices: ✅ Focus on divergences (strongest signals) ✅ Combine with support/resistance levels ✅ Use multiple timeframes for confirmation ✅ Wait for price action confirmation ✅ Practice proper risk management ### Avoid: ❌ Trading on indicator alone ❌ Fighting strong trends ❌ Ignoring market context ❌ Overtrading ### Recommended Settings by Trading Style: **Day Trading:** Period 7-10, All alerts ON **Swing Trading:** Period 14-21, Divergence alerts **Scalping:** Period 5-7, Signal crosses **Position Trading:** Period 21-30, Weekly/Daily TF --- ## 🌍 Markets & Timeframes **Works on all markets:** - Forex (all pairs) - Stocks (all exchanges) - Cryptocurrencies - Commodities - Indices - Futures **Works on all timeframes:** 1m to Monthly --- ## 📊 How It Works DAO calculates the ratio of buying pressure to total market pressure: 1. **Calculate Buying Pressure (DemandMax):** - If current high > previous high: DemandMax = difference - Otherwise: DemandMax = 0 2. **Calculate Selling Pressure (DemandMin):** - If previous low > current low: DemandMin = difference - Otherwise: DemandMin = 0 3. **Apply Smoothing:** - Calculate SMA of DemandMax over N periods - Calculate SMA of DemandMin over N periods 4. **Final Formula:** ``` DAO = SMA(DemandMax) / (SMA(DemandMax) + SMA(DemandMin)) ``` This produces a normalized value (0-1) representing market demand strength. --- ## 🎯 Trading Strategies ### Strategy 1: Divergence Trading - Wait for divergence label - Confirm at support/resistance - Enter on confirming candle - Stop loss beyond recent swing - Target: opposite level or 0.50 ### Strategy 2: Overbought/Oversold - Best for ranging markets - Wait for extreme readings - Enter on reversal from extremes - Target: middle line (0.50) ### Strategy 3: Trend Following - Identify trend direction first - Use DAO to time entries in trend direction only - Enter on pullbacks to oversold (uptrend) or overbought (downtrend) - Trade with the trend ### Strategy 4: Multi-Timeframe - Enable MTF feature - Trade only when both timeframes align - Higher TF = trend direction - Lower TF = precise entry --- ## 📂 Category **Primary:** Oscillators **Secondary:** Statistics, Volatility, Momentum --- ## 🏷️ Tags dao, oscillator, momentum, overbought-oversold, divergence, reversal, demand-indicator, price-exhaustion, statistics, volatility, forex, stocks, crypto, multi-timeframe, technical-analysis --- ## ⚠️ Disclaimer **This indicator is for educational purposes only.** It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research, use proper risk management, and consult with financial professionals before making trading decisions. Past performance does not guarantee future results. --- ## 📄 License Open source - Free to use for personal trading, modify as needed, and share with attribution. --- **Version:** 1.0 **Status:** Production Ready ✅ **Pine Script:** v5 **Trademark-Free:** 100% Safe to Publish --- *Made with 💙 for traders worldwide*
Pine Script® インジケーター
kostyaniusの投稿
2
Power Balance ForecasterHey trader buddy! Remember the old IBM 5150 on Wall Street back in the 80s? :) Well, I wanted to pay tribute to it with this retro-style code when MS DOS and CRT screens were the cutting edge of technology... Analysis of the balance of power between buyers and sellers with price predictions What This Indicator Does The Power Balance Forecaster indicator analyzes the relationship between buyer and seller strength to predict future price movements. Here's what it does in detail: Main Features: Power Balance Analysis: Calculates real-time percentage of buyer power vs seller power Price Predictions: Estimates next closing level based on current momentum Market State Detection: Identifies 5 different market conditions Visual Signals: Shows directional arrows and price targets How the Trading Logic Works Power Balance Calculation: Analyzes Consecutive Bars - Counts consecutive bullish and bearish bars Calculates Momentum - Uses ATR-normalized momentum to measure trend strength Determines Market State - Assigns one of 5 market states based on conditions Market States: Bull Control: Strong uptrend (75% buyer power) Bear Control: Strong downtrend (75% seller power) Buying Pressure: Bullish pressure (65% buyer power) Selling Pressure: Bearish pressure (65% seller power) Balance Area: Market in equilibrium (50/50) Prediction System: Bullish Condition: Buyer power > 55% + Positive momentum = Bullish prediction Bearish Condition: Seller power > 55% + Negative momentum = Bearish prediction Price Target: Based on ATR multiplied by timeframe factor Configurable Parameters: Analysis Sensitivity (5-50): Controls how responsive the indicator is Low values (5-15): More sensitive, ideal for scalping High values (30-50): More stable, ideal for swing trading Table Position: Choose from 9 positions to display the data table Trading Signals: Green Triangle ▲: Bullish signal, price expected to increase Green Triangle ▼: Bearish signal, price expected to decrease Dashed Line: Shows the price target projection Label: Displays the exact target value Recommended Timeframes: Lower Timeframes (1-15 minutes): Sensitivity: 10-20 Automatic Low TF mode Higher Timeframes (1 hour - 1 day): Sensitivity: 25-40 Automatic High TF mode Important Notes: Always use this indicator in combination with: Market context analysis Proper risk management Confirmation from other indicators Mandatory stop losses The indicator works best in trending markets and may be less effective during extreme consolidation periods.
Pine Script® インジケーター
LanfryBilの投稿
Extreme Pressure Zones Indicator (EPZ) [BullByte]Extreme Pressure Zones Indicator(EPZ) The Extreme Pressure Zones (EPZ) Indicator is a proprietary market analysis tool designed to highlight potential overbought and oversold "pressure zones" in any financial chart. It does this by combining several unique measurements of price action and volume into a single, bounded oscillator (0–100). Unlike simple momentum or volatility indicators, EPZ captures multiple facets of market pressure: price rejection, trend momentum, supply/demand imbalance, and institutional (smart money) flow. This is not a random mashup of generic indicators; each component was chosen and weighted to reveal extreme market conditions that often precede reversals or strong continuations. What it is? EPZ estimates buying/selling pressure and highlights potential extreme zones with a single, bounded 0–100 oscillator built from four normalized components. Context-aware weighting adapts to volatility, trendiness, and relative volume. Visual tools include adaptive thresholds, confirmed-on-close extremes, divergence, an MTF dashboard, and optional gradient candles. Purpose and originality (not a mashup) Purpose: Identify when pressure is building or reaching potential extremes while filtering noise across regimes and symbols. Originality: EPZ integrates price rejection, momentum cascade, pressure distribution, and smart money flow into one bounded scale with context-aware weighting. It is not a cosmetic mashup of public indicators. Why a trader might use EPZ EPZ provides a multi-dimensional gauge of market extremes that standalone indicators may miss. Traders might use it to: Spot Reversals: When EPZ enters an "Extreme High" zone (high red), it implies selling pressure might soon dominate. This can hint at a topside reversal or at least a pause in rallies. Conversely, "Extreme Low" (green) can highlight bottom-fish opportunities. The indicator's divergence module (optional) also finds hidden bullish/bearish divergences between price and EPZ, a clue that price momentum is weakening. Measure Momentum Shifts: Because EPZ blends momentum and volume, it reacts faster than many single metrics. A rising MPO indicates building bullish pressure, while a falling MPO shows increasing bearish pressure. Traders can use this like a refined RSI: above 50 means bullish bias, below 50 means bearish bias, but with context provided by the thresholds. Filter Trades: In trend-following systems, one could require EPZ to be in the bullish (green) zone before taking longs, or avoid new trades when EPZ is extreme. In mean-reversion systems, one might specifically look to fade extremes flagged by EPZ. Multi-Timeframe Confirmation: The dashboard can fetch a higher timeframe EPZ value. For example, you might trade a 15-minute chart only when the 60-minute EPZ agrees on pressure direction. Components and how they're combined Rejection (PRV) – Captures price rejection based on candle wicks and volume (see Price Rejection Volume). Momentum Cascade (MCD) – Blends multiple momentum periods (3,5,8,13) into a normalized momentum score. Pressure Distribution (PDI) – Measures net buy/sell pressure by comparing volume on up vs down candles. Smart Money Flow (SMF) – An adaptation of money flow index that emphasizes unusual volume spikes. Each of these components produces a 0–100 value (higher means more bullish pressure). They are then weighted and averaged into the final Market Pressure Oscillator (MPO), which is smoothed and scaled. By combining these four views, EPZ stands out as a comprehensive pressure gauge – the whole is greater than the sum of parts Context-aware weighting: Higher volatility → more PRV weight Trendiness up (RSI of ATR > 25) → more MCD weight Relative volume > 1.2x → more PDI weight SMF holds a stable weight The weighted average is smoothed and scaled into MPO ∈ with 50 as the neutral midline. What makes EPZ stand out Four orthogonal inputs (price action, momentum, pressure, flow) unified in a single bounded oscillator with consistent thresholds. Adaptive thresholds (optional) plus robust extreme detection that also triggers on crossovers, so static thresholds work reliably too. Confirm Extremes on Bar Close (default ON): dots/arrows/labels/alerts print on closed bars to avoid repaint confusion. Clean dashboard, divergence tools, pre-alerts, and optional on-price gradients. Visual 3D layering uses offsets for depth only,no lookahead. Recommended markets and timeframes Best: liquid symbols (index futures, large-cap equities, major FX, BTC/ETH). Timeframes: 5–15m (more signals; consider higher thresholds), 1H–4H (balanced), 1D (clear regimes). Use caution on illiquid or very low TFs where wick/volume geometry is erratic. Logic and thresholds MPO ∈ ; 50 = neutral. Above 50 = bullish pressure; below 50 = bearish. Static thresholds (defaults): thrHigh = 70, thrLow = 30; warning bands 5 pts inside extremes (65/35). Adaptive thresholds (optional): thrHigh = min(BaseHigh + 5, mean(MPO,100) + stdev(MPO,100) × ExtremeSensitivity) thrLow = max(BaseLow − 5, mean(MPO,100) − stdev(MPO,100) × ExtremeSensitivity) Extreme detection High: MPO ≥ thrHigh with peak/slope or crossover filter. Low: MPO ≤ thrLow with trough/slope or crossover filter. Cooldown: 5 bars (default). A new extreme will not print until the cooldown elapses, even if MPO re-enters the zone. Confirmation "Confirm Extremes on Bar Close" (default ON) gates extreme markers, pre-alerts, and alerts to closed bars (non-repainting). Divergences Pivot-based bullish/bearish divergence; tags appear only after left/right bars elapse (lookbackPivot). MTF HTF MPO retrieved with lookahead_off; values can update intrabar and finalize at HTF close. This is disclosed and expected. Inputs and defaults (key ones) Core: Sensitivity=1.0; Analysis Period=14; Smoothing=3; Adaptive Thresholds=OFF. Extremes: Base High=70, Base Low=30; Extreme Sensitivity=1.5; Confirm Extremes on Bar Close=ON; Cooldown=5; Dot size Small/Tiny. Visuals: Heatmap ON; 3D depth optional; Strength bars ON; Pre-alerts OFF; Divergences ON with tags ON; Gradient candles OFF; Glow ON. Dashboard: ON; Position=Top Right; Size=Normal; MTF ON; HTF=60m; compact overlay table on price chart. Advanced caps: Max Oscillator Labels=80; Max Extreme Guide Lines=80; Divergence objects=60. Dashboard: what each element means Header: EPZ ANALYSIS. Large readout: Current MPO; color reflects state (extreme, approaching, or neutral). Status badge: "Extreme High/Low", "Approaching High/Low", "Bullish/Neutral/Bearish". HTF cell (when MTF ON): Higher-timeframe MPO, color-coded vs extremes; updates intrabar, settles at HTF close. Predicted (when MTF OFF): Simple MPO extrapolation using momentum/acceleration—illustrative only. Thresholds: Current thrHigh/thrLow (static or adaptive). Components: ASCII bars + values for PRV, MCD, PDI, SMF. Market metrics: Volume Ratio (x) and ATR% of price. Strength: Bar indicator of |MPO − 50| × 2. Confidence: Heuristic gauge (100 in extremes, 70 in warnings, 50 with divergence, else |MPO − 50|). Convenience only, not probability. How to read the oscillator MPO Value (0–100): A reading of 50 is neutral. Values above ~55 are increasingly bullish (green), while below ~45 are increasingly bearish (red). Think of these as "market pressure". Extreme Zones: When MPO climbs into the bright orange/red area (above the base-high line, default 70), the chart will display a dot and downward arrow marking that extreme. Traders often treat this as a sign to tighten stops or look for shorts. Similarly, a bright green dot/up-arrow appears when MPO falls below the base-low (30), hinting at a bullish setup. Heatmap/Candles: If "Pressure Heatmap" is enabled, the background of the oscillator pane will fade green or red depending on MPO. Users can optionally color the price candles by MPO value (gradient candles) to see these extremes on the main chart. Prediction Zone(optional): A dashed projection line extends the MPO forward by a small number of bars (prediction_bars) using current MPO momentum and acceleration. This is a heuristic extrapolation best used for short horizons (1–5 bars) to anticipate whether MPO may touch a warning or extreme zone. It is provisional and becomes less reliable with longer projection lengths — always confirm predicted moves with bar-close MPO and HTF context before acting. Divergences: When price makes a higher high but EPZ makes a lower high (bearish divergence), the indicator can draw dotted lines and a "Bear Div" tag. The opposite (lower low price, higher EPZ) gives "Bull Div". These signals confirm waning momentum at extremes. Zones: Warning bands near extremes; Extreme zones beyond thresholds. Crossovers: MPO rising through 35 suggests easing downside pressure; falling through 65 suggests waning upside pressure. Dots/arrows: Extreme markers appear on closed bars when confirmation is ON and respect the 5-bar cooldown. Pre-alert dots (optional): Proximity cues in warning zones; also gated to bar close when confirmation is ON. Histogram: Distance from neutral (50); highlights strengthening or weakening pressure. Divergence tags: "Bear Div" = higher price high with lower MPO high; "Bull Div" = lower price low with higher MPO low. Pressure Heatmap : Layered gradient background that visually highlights pressure strength across the MPO scale; adjustable intensity and optional zone overlays (warning / extreme) for quick visual scanning. A typical reading: If the oscillator is rising from neutral towards the high zone (green→orange→red), the chart may see strong buying culminating in a stall. If it then turns down from the extreme, that peak EPZ dot signals sell pressure. Alerts EPZ: Extreme Context — fires on confirmed extremes (respects cooldown). EPZ: Approaching Threshold — fires in warning zones if no extreme. EPZ: Divergence — fires on confirmed pivot divergences. Tip: Set alerts to "Once per bar close" to align with confirmation and avoid intrabar repaint. Practical usage ideas Trend continuation: In positive regimes (MPO > 50 and rising), pullbacks holding above 50 often precede continuation; mirror for bearish regimes. Exhaustion caution: E High/E Low can mark exhaustion risk; many wait for MPO rollover or divergence to time fades or partial exits. Adaptive thresholds: Useful on assets with shifting volatility regimes to maintain meaningful "extreme" levels. MTF alignment: Prefer setups that agree with the HTF MPO to reduce countertrend noise. Examples Screenshots captured in TradingView Replay to freeze the bar at close so values don't fluctuate intrabar. These examples use default settings and are reproducible on the same bars; they are for illustration, not cherry-picking or performance claims. Example 1 — BTCUSDT, 1h — E Low MPO closed at 26.6 (below the 30 extreme), printing a confirmed E Low. HTF MPO is 26.6, so higher-timeframe pressure remains bearish. Components are subdued (Momentum/Pressure/Smart$ ≈ 29–37), with Vol Ratio ≈ 1.19x and ATR% ≈ 0.37%. A prior Bear Div flagged weakening impulse into the drop. With cooldown set to 5 bars, new extremes are rate-limited. Many traders wait for MPO to curl up and reclaim 35 or for a fresh Bull Div before considering countertrend ideas; if MPO cannot reclaim 35 and HTF stays weak, treat bounces cautiously. Educational illustration only. Example 2 — ETHUSD, 30m — E High A strong impulse pushed MPO into the extreme zone (≥ 70), printing a confirmed E High on close. Shortly after, MPO cooled to ~61.5 while a Bear Div appeared, showing momentum lag as price pushed a higher high. Volume and volatility were elevated (≈ 1.79x / 1.25%). With a 5-bar cooldown, additional extremes won't print immediately. Some treat E High as exhaustion risk—either waiting for MPO rollover under 65/50 to fade, or for a pullback that holds above 50 to re-join the trend if higher-timeframe pressure remains constructive. Educational illustration only. Known limitations and caveats The MPO line itself can change intrabar; extreme markers/alerts do not repaint when "Confirm Extremes on Bar Close" is ON. HTF values settle at the close of the HTF bar. Illiquid symbols or very low TFs can be noisy; consider higher thresholds or longer smoothing. Prediction line (when enabled) is a visual extrapolation only. For coders Pine v6. MTF via request.security with lookahead_off. Extremes include crossover triggers so static thresholds also yield E High/E Low. Extreme markers and pre-alerts are gated by barstate.isconfirmed when confirmation is ON. Arrays prune oldest objects to respect resource limits; defaults (80/80/60) are conservative for low TFs. 3D layering uses negative offsets purely for drawing depth (no lookahead). Screenshot methodology: To make labels legible and to demonstrate non-repainting behavior, the examples were captured in TradingView Replay with "Confirm Extremes on Bar Close" enabled. Replay is used only to freeze the bar at close so plots don't change intrabar. The examples use default settings, include both Extreme Low and Extreme High cases, and can be reproduced by scrolling to the same bars outside Replay. This is an educational illustration, not a performance claim. Disclaimer This script is for educational purposes only and does not constitute financial advice. Markets involve risk; past behavior does not guarantee future results. You are responsible for your own testing, risk management, and decisions.
Pine Script® インジケーター
BullByteの投稿
20
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics - Version: PineScript™ v6 📌 Description The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making. This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner. 🚀 Points of Innovation Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator. Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes. Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength. Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent. Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics. Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line. 🔧 Core Components Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes. Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move. Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure. Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic). Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength. 🔥 Key Features Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity. Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum. Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action. Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions. Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions. Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states. 🎨 Visualization Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction. Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish). Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability. Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’). 📖 Usage Guidelines Setting Categories Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance. Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal. Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect. Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier. Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart. Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header. Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard. ✅ Best Use Cases Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend. Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements. Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions. Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity. Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses. Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets. ⚠️ Limitations Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals. Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line. Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions. Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance. 💡 What Makes This Unique Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand. Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions. Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions. 🔬 How It Works Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement. Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance. Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA. Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent. Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude. Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring. 💡 Note: The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
Pine Script® インジケーター
PhenLabsの投稿
2
VolumeFlowOscillatorLibVolume Flow Oscillator Library Overview The Volume Flow Oscillator library provides a comprehensive framework for analyzing directional volume flow in financial markets. It creates a multi-band oscillator system that transforms price and volume data into a spectrum of sensitivity bands, revealing the underlying buying and selling pressure. Technical Approach The library combines price direction with trading volume to generate an oscillator that fluctuates around a zero line, with positive values indicating buying pressure and negative values showing selling pressure. Using sophisticated ALMA (Arnaud Legoux Moving Average) smoothing techniques with asymmetric sensitivity, the library creates seven distinct bands that help identify various intensity levels of volume flow. Key Features Multi-band oscillator system with seven sensitivity levels Directional volume flow analysis combining price movement and volume Zero-line oscillation showing the balance between buying and selling pressure Asymmetric ALMA smoothing for different sensitivity on positive/negative bands Customizable lookback periods and multipliers for fine-tuning Color-coded visualization for intuitive chart reading Applications This library offers developers a versatile foundation for creating volume-based indicators that go beyond simple volume measurement to reveal the directional force behind market movements. Ideal for confirming price trends, detecting divergences, identifying volume climaxes, and assessing overall market strength.
Pine Script® ライブラリ
TheKaoticSの投稿
1
Shifted Buy PressureDifferentiated Buy Pressure Indicator Documentation Overview: The Differentiated Buy Pressure indicator is a custom Pine Script™ indicator designed to measure and visualize buy and sell pressure in the market. It calculates buy pressure based on a combination of volume, range, and gap, and provides a differentiated buy pressure which is shifted by 90°, offering predictive insights. Inputs: Window Size: The window size for average calculation (default: 20). Show Overlay: Option to show the price overlay (default: false). Overlay Boost Factor: Boosting factor for overlaying the price (default: 0.01). Calculations: Relative Range: Calculated as (high - low) / close. Average Range: Simple moving average of the relative range over the specified window. Average Volume: Simple moving average of the volume over the specified window. Relative Gap: Calculated as open / close . Average Gap: Simple moving average of the relative gap over the specified window. Buy Pressure: Calculated using the formula: buy_pressure = -math.log(relative_range / avg_range * volume / avg_volume * relative_gap / avg_gap) Differentiated Buy Pressure: Calculated as the difference between the current and previous buy pressure: diff_buy_pressure = buy_pressure - buy_pressure Plots: Zero Line: A horizontal line at zero for reference. Buy Pressure: Plotted in blue, representing the calculated buy pressure. Differentiated Buy Pressure: Plotted in red, representing the differentiated buy pressure. Overlay: Optionally plots the price overlay boosted by the differentiated buy pressure. Labels: Labels are created to display the buy pressure and differentiated buy pressure values on the chart. Usage: This indicator helps traders visualize the buy and sell pressure in the market. Positive values indicate buy pressure, while negative values indicate sell pressure. The differentiated buy pressure, shifted by 90°, provides predictive insights into future market movements. This documentation provides a comprehensive overview of the Differentiated Buy Pressure indicator, explaining its purpose, inputs, calculations, and usage.
Pine Script® インジケーター
Tires7の投稿
1
Enhanced Buy/Sell Pressure, Volume, and Trend Bar analysisEnhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis Indicator Overview This indicator is designed to help traders identify buy and sell pressure, volume changes, and overall trend direction in the market. It combines multiple concepts like price action, volume, and trend analysis, candlestick anaysis to provide a comprehensive view of market dynamics. The visual elements are intuitive, making it suitable for traders at different levels. This indicator works together with Enhanced Pressure MTF Screener which is a screener based of this indicator to make it easier to see Bullish/Bearish pressures and trend across multiple timeframes. Image below: is the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis with the Enhanced Pressure MTF Screener indicator both active together. Key Features 1.Buy/Sell Pressure Identification Buy Pressure: Calculated based on price movement where the close price is higher than the opening price. Sell Pressure: Calculated when the closing price is equal to or lower than the opening price.These pressures help you understand whether buyers or sellers are more dominant for each bar. 2.Volume Analysis Normalized Volume: Volume data is normalized, making it easier to compare volume levels over different periods. Volume Histogram: The volume is also presented as a histogram for easy visualization, showing whether the current volume is higher or lower compared to the average. 3.Simplified Coloring Option You can choose to simplify the coloring of bars to reflect the dominant pressure: green for bullish pressure and red for bearish pressure. This makes it visually easier to identify who is in control. When simplified coloring is disabled, the bars' colors will represent the combined effect of buy and sell pressure. 4.Heikin-Ashi Candles for Pressure Calculation The indicator includes an option to use Heikin-Ashi candles instead of traditional candles to calculate buy and sell pressure. Heikin-Ashi candles are known for smoothing out price action and providing a clearer trend representation. 5.Trend Background Coloring This feature uses exponential moving averages (EMAs) to determine the trend: Short-Term EMA vs. Long-Term EMA: When the short-term EMA is above the long-term EMA, the trend is considered bullish, and vice versa. The background color changes based on the identified trend: green for an uptrend and red for a downtrend. This feature helps visualize the overall market direction at a glance. 6.Signals for Key Price Actions The indicator plots various symbols to signal important price movements: Bullish Close (▲): Indicates a strong upward movement where the close price crosses above the open. Bearish Close (▼): Indicates a downward movement where the close price falls below the open. Higher High (•): Highlights new highs compared to previous bars, useful for confirming an uptrend. Lower Low (•): Highlights lower lows compared to previous bars, which can indicate a downtrend or bearish pressure. Calculations Explained 1.Buy and Sell Pressure Calculation The buy pressure is determined by the price range (high - low) if the closing price is above the opening price, indicating an increase in value. The sell pressure is similarly calculated when the closing price is equal to or below the opening price. The indicator uses the Average True Range (ATR) for normalization. Normalizing helps you compare pressure across different periods, regardless of market volatility. 2.Volume Normalization Volume Normalization: To make volume comparable across different periods, the indicator normalizes it using the Simple Moving Average (SMA) of volume over a user-defined length. Volume Histogram: The histogram provides a clear representation of volume changes compared to the average, making it easier to spot unusual activity that may indicate market shifts. 3.Combined Pressure Calculation The indicator calculates a combined pressure value by subtracting sell pressure from buy pressure. When combined pressure is positive, buying is dominant, and when negative, selling is dominant. This helps in visually understanding the ongoing momentum. 4.Trend Calculation The indicator uses two EMAs to determine the trend: Short-Term EMA (default 14-period) to capture recent price movements. Long-Term EMA (default 50-period) to provide a broader trend perspective. By comparing these EMAs on a higher timeframe, the indicator can identify whether the trend is up or down, making it easier for traders to align their trades with the larger market movement. Inputs and Customization The indicator provides several options for customization, allowing you to adjust it to your preferences: SMA Length: Determines the lookback period for moving averages and volume normalization. A longer length provides more smoothing, whereas a shorter length makes the indicator more responsive. Buy/Sell/Volume Colors: Customize the colors used to represent buying, selling, and volume to suit your preferences. Heikin Ashi Option: Toggle between using Heikin Ashi or traditional OHLC (Open-High-Low-Close) candles for pressure calculations. Trend Timeframe and EMA Periods: You can choose different timeframes and EMA periods for trend analysis to suit your trading strategy. How to Use This Indicator Identifying Market Momentum: Use the buy/sell pressure columns to see which side (buyers or sellers) is in control. Positive pressure combined with green color indicates strong buying, while red indicates selling. Volume Confirmation: Check the volume area plot and histogram. High volume coupled with strong pressure is a sign of conviction, meaning the current move has backing from market participants. Trend Identification: The trend background color helps identify the overall trend direction. Trade in the direction of the trend (e.g., take long positions during a green background). Signal Indicators: The plotted symbols like "Bullish Close" and "Bearish Close" provide visual signals of key price actions, useful for timing entry or exit points. Practical use Example Scenario: The market is consolidating, and you see alternating green and red bars. Action: Wait for a consistent sequence of green bars (buy pressure) along with a green background (uptrend) to consider going long, although you can go long without having a green background, the background adds confirmation layer. Scenario: The market has several bearish closes (red ▼ symbols) accompanied by increasing volume. Action: This could indicate strong selling pressure. If the background also turns red, it might be a good time to exit long positions or consider shorting. Higher timeframe pressure and volume: Another way to use the indicator is to check buy/sell volume and pressure of the higher timeframe say weekly or daily or any timeframe you consider higher, once you’ve identified or feel confident in which direction the bar is going along with the full picture of trend, you can go to the lower timeframe and wait for it to sync with the higher timeframe to consider a long or a short. It is also easier to see when markets sync up by also applying the Enhanced Pressure MTF Screener which works in companion to this indicator. Visual Cues and Interpretation Combined Pressure Plot: The green and red column plot at the bottom of the chart represents the dominance between buying and selling. Tall green bars signify strong buying, while tall red bars indicate selling dominance. Trend Background: Helps visualize the overall direction without manually drawing trend lines. When the background turns green, it generally indicates that the shorter-term moving average has crossed above the longer-term average—a sign of a bullish trend. To Summarize shortly The Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis Indicator is an advanced but simple tool designed to help traders visually understand market dynamics. It combines different aspects of market analysis of candle pressure from buyers and sellers, volume confirmation, and trend identification into a single view, which can assist both new and experienced traders in making informed trading decisions. This indicator: Saves time by simplifying market analysis. Provides clear visual cues for buy/sell pressure, volume, and trend. Offers customizable settings to suit individual trading styles. Always, I am happy to share my creations with you all for free. If you guys have cool ideas you would like to share, or suggestions for improvements the comment is below and I hope this overview gave an idea of how to use the indicator :D
Pine Script® インジケーター
Debis03の投稿
33
Discovery IndexThe Discovery Index is an original technical indicator which attempts to display directional market pressure and momentum based on accumulated candle-over-candle measurements. Discovery , in this context, is the act of finding (discovering) New Highs and Lows. > What is 'Discovery' Not to be confused with "Price Discovery", the term for setting the spot price of an asset. The term 'Discovery' in Discovery Index is used based on the literal definition of 'Discovery', such as, the action of finding what was previously unknown. Given this definition, Discovery is the difference between highs or lows only when the current high is higher than the previous high or the current low is lower than the previous low. Below is a visual example of exactly where Discovery is seen from each candle. Since discovery is only based on points of the candle, and not specifically the direction of the candle; it is possible for discovery to occur in both directions from the same candle. It is also possible for no discovery to occur from a candle. > Calculation The Discovery Index is the Net Total of discovery data over a specified length of bars. Discovery Index = Sum of Upwards Discovery + Sum of Downwards Discovery Note: Upwards Discovery is always Positive, and Downwards Discovery is always Negative. By adding both together, their Net Total is produced. This value is the "Discovery Index". Wick Calculation Example > Volume Discovery Using Volume for the Discovery Index Calculation allows for a different dimension to be added to the data for new analysis opportunities. While volume data is only a single value, by accumulating this data over time, we are able to fabricate a candle body from the data by accounting for the direction of the chart candles. This allows for the Calculation of the Discovery Index based on volume data. Volume Example > Display The display uses a "Candlestick histogram" display. The bodies and wicks from the display represent the discovery data from the respective points in each candle. (Wick Discovery & Candle Body Discovery). This style of histogram allows for the display of both data sources, preserving the accuracy and distinction between each type, while also providing a clean display. > Considerations Discovery index is not an Oscillator, since there are no upper or lower boundaries to its rotations. There are not (at this time) any "Over-bought" or "Over-sold" Areas, this is partially due to the previous consideration since any levels for these could potentially change from chart to chart. Additionally, it would generally be better to read the data based on the context of the current market. Non-directional movements effect the Discovery Index as well. Since Discovery does not occur from every bar, the Index reflects hesitations as well as movements in market direction. With the option to input a symbol, the Discovery Index Indicator is not constrained to one chart ticker for its calculation and could help to see shifts between different symbols, making it easier to compare different assets. With the separation of wicks and candle body data, a stronger move may be observed by its full-bodied movements, while a potentially more speculative move may be seen from large wick movements. Since wicks are often interpreted as either, Rejection for reversal OR as Testing for continuation, the interpretation for Wick Discovery generally varies based on context. Discovery Index ⇾ Divergences! Due to its calculation, price (and/or volume) data is displayed in such a way that makes it useful as a tool for identifying divergence opportunities. Remember, this indicator is lookback based. An immediate significant change from the data source (if not offset by a similar opposite change) will be represented for multiple bars after its occurrence. Due to this, data is likely to be skewed or biased from these occurrences for a period of time after. Throughout development, "Discovery" has been shortened to just "Disco", therefore, this indicator is also an attempt to bring Disco Back. Enjoy!
Pine Script® インジケーター
SamRecioの投稿
1
Intraday volume pressureThis indicator shows the difference of bullish and bearish trading volume during intraday The idea Especially in "6E1!" it caught my eye, that often outside regular trading hours the price moves in one direction with thin volume and inside regular trading hours it moves back with much higher volume. It is possible, that the market closes e.g. with a plus. And over some days maybe you can see e.g. weak rising prices. But in this time the movements with high volume are going down every day. And one day - maybe within view minutes - the market rushs a level deeper. Maybe some are manipulating the market in this way, maybe not, it doesn't matter. So my question was, can I find a way to show such divergences? I guess I can do. How to use this indicator Use it at your own risk! I don't take over any responsibility. You are the only one, who is responsible for your decisions. Always collect information from different independent sources! Watch it in the daily chart - not intraday, not weekly! Of course this indicator just analyzes the past as all indicators. Everytime everything may happen that influences the market in any direction, no indicator can predict any news. Watch it in sideways market or when the price is moving quite slow over days! An average volume pressure below zero shows a volume-driven bearish pressure above zero shows a volume-driven bullish pressure of the last days. So there is a chance, that the market may follow the volume pressure within the next days. But of course, I cannot guarantee anything. The indicator just can give you an idea, why this will happen, when it will happens. Otherwise, the indicator indicated nothing helpfull. Of course you also can try other securities. Maybe it will work there better or worse - difficult to say. I guess, it depends on the market. Possible settings aside of colors Intraday minute bars: Default is 15 minutes, in 6E in my point of view it is a good value. If you choose a smaller value, the chart gets too noisy, the results are getting too small. With a bigger timeframe some moves are hidden in bigger candles, the results are getting a large spread Average over days: Default is 5 days - so one week. In 6E in my point of view it is a good value. A smaller value is too noisy. A bigger value reacts too slow. Often 6E has a trend over weeks. Sometimes it changes within some days - the indicator may help. But sometimes the market changes with a buying or selling climax. Such a case this indicator cannot recognize. But with the 5 days average maybe you get a change in the indicator within one or two days. Anyway, it is always a good idea to learn recognizing climaxes otherwise. How the indicator works It uses the function request.security_lower_tf to get the intraday candles. The volume of intraday up-candles is added to the intraday summary volume. The volume of down candles is substracted from the intraday summary volume. In the oscillator area I plot a green bar on a day with a higher close than open and a red bar on a day with a lower close than open. The bar has a positive value, if the volume pressure is positive and a negative value if the volume pressure is negative. So it happens, that a green bar has a negative value or a red bar has a positive value. The average is calculated with a floating sum. Once we have enough days calculated, I devide the floating sum by the length of the "Average over days" and plot the result. Then I substract the first value of the queue and I remove it.
Pine Script® インジケーター
andreas74aの投稿
1
Hull PressureThis amazing oscillator displays the difference between the hull average calculated on the close of the candles and the one calculated between the average of the highs and lows. This allows the user to identify the pressure of the closing price over the average, useful to identify trends, divergences, and reversals. This indicator also has two dynamic overbought and oversold areas, calculated over the past extreme highs and lows of the oscillator.
Pine Script® インジケーター
OmegaToolsの投稿
Buying and Selling Pressure Raw Multi (TG Fork)Visualize raw buying and selling pressure via 3 different calculation methods, all superimposed with dynamic rescaling. Buying and selling pressure is the concept of quantifying the disproportion between buying and selling. In practice, there is no single definitive way to calculate it. This indicator is a merge to display three different methods to calculate buying and selling pressure, with automatic visual rescaling to superimpose the three simultaneously, updated to PineScript v5, and with some additional improvements for speed and calculation precisions, and instead of the EMA, other types of moving averages can be used. I primarily made it for my own needs, but as always, I like sharing with the community, as maybe others may find this useful too. How to use: * As often, the goal is to get as many of the 3 signals concur together to get a stronger aggregated signal. * First signal: If the green bars on the histogram are bigger than the red ones, then there is more buying pressure, and vice versa. * Second signal: If the background is green, there is more buying pressure, and vice versa if the background is orange. The yellow and green lines define the background color, but they are by default hidden for a less cluttered visual experience. * Third signal: If the cloud is blue, there is more buying pressure, and the bigger the cloud, the more momentum there is for it to stay (and more difficult it is to reverse to selling pressure). If the cloud is red, there is more selling pressure. If you like this indicator, please don't give me any credit, instead please show some love to the original authors (in no particular order): ceyhun: daytraderph (I could not find the link to the original script, the page is inaccessible?): www.tradingview.com fract:
Pine Script® インジケーター
tartigradiaの投稿
2
Pressure - Buying and SellingThis is the Pressure Indicator. The Pressure Indicator analyzes a number of price ratios to measure the pressure of Buyers and Sellers. I’ve also added to the indicator: 1) Moving Averages (MA) – You can choose 3 types of MA: - Simple Moving Average (SMA) - Exponential Moving Average (EMA) - default - Volume Weighted Moving Average (VWMA) - Arnaud Legoux Moving Average (ALMA) By default the MA are not displayed. You can turn them on or off. 2) Standard Deviation Bands and MA Bands – Bands only for the MA type 1 selection. Usually, the Pressureis inside the Bands. If it is beyond the Bands that could mean the current trend is ending. The MA Bands are turned off by default but you can turn them on the Styles Tab Menu. 3) Levels for Overbought and Oversold Zones: - Gray Overbought 60 - Gray Oversold 40 4) Levels for Buying and Selling Pressure (3 types of pressure + 1 more). If the Pressure is crossing various intermediate levels that means there is Buying or Selling Pressure at those levels. 5) Signals for Crossing Overbought and Oversold Levels: - Top Red fills for Crossing Down Overbought Level - Bottom Lime fills for Crossing Up Oversold Level 6) Signals for Buying and Selling Pressure: - Buy Pressure 1 and 2 are the smaller lime dots. - Buy Pressure 1 and 2 together are the bigger lime dots. - Buy Pressure 3 (Crossing Deviation Bands Up) are the blue dots. - Sell Pressure 1 and 2 are the smaller red dots. - Sell Pressure 1 and 2 together are the bigger red dots. - Sell Pressure 3 (Crossing Deviation Bands Down) are the orange dots. If there are more than one dot appearing at the same moment they will appear displaced in a vertical way at the same time. If there is something wrong with the code or its calculations, please let me know. If you want to modify or improve the code, feel free to do that, but please let me know the changes you made. This Indicator is very accurate when using the Weekly Timeframe . I hope you enjoy it!
Pine Script® インジケーター
monophobiafafeの投稿
Bitcoin Miner Sell PressureBitcoin miners are in pain and now (November 2022) selling more than they have in almost 5 years! Introducing: Bitcoin Miner Sell Pressure. A free, open-source indicator which tracks on-chain data to highlight when Bitcoin miners are selling more of their reserves than usual. The indicator tracks the ratio of on-chain miner Bitcoin outflows to miner Bitcoin reserves. - Higher = more selling than usual - Lower = less selling than usual - Red = extraordinary sell pressure Today , it's red. What can we see now ? Miners are not great at treasury management. They tend to sell most when they are losing money (like today). But there have been times when they sold well into high profit, such as into the 2017 $20K top and in early 2021 when Bitcoin breached $40K. Bitcoin Miner Sell Pressure identifies industry stress, excess and miner capitulation. Unsurprisingly, there is a high correlation with Bitcoin Production Cost; giving strong confluence to both. In some instances, BMSP spots capitulation before Hash Ribbons. Such as today!
Pine Script® インジケーター
capriole_charlesの投稿
8
Multi-VolumeThis indicator displays volume in several formats: Volume Bar Format: Normal Volume: Shows the normal volume bar colors based on each candle's price direction Up/Down Volume: Breaks down each volume bar into buying volume (volume added when price goes up) and selling volume (volume added when price goes down) Volume Pressure: Breaks down each volume bar based on the length of the candle and its "pressure wick". See below for more information. Flip Down Volume: The down volume bar will be displayed below the center line. Show Delta: When selected with "Up/Down Volume" or "Volume Pressure", a small line will be displayed at the net volume (difference between up and down volume). Projected Volume: Instead of current volume, it will show expected volume at end of candle based on volume per second. Volume Pressure: On a green candle: The red part represents the upper wick, the volume as the price comes back down from its high The green part represents the rest of the candle, the volume as the price goes up from its low to the close On a red candle: The green part represents the lower wick, the volume as the price comes back up from its low The red part represents the rest of the candle, the volume as the price goes down from its high to the close To Update to Latest Version: To update to the latest version, just close the indicator and add it again.
Pine Script® インジケーター
David-Hamiltonの投稿
7
Wick Pressure by SiddWolfMultiple Wicks forming at OverSold & OverBought levels create Buying and Selling Pressure. This Script tries to capture the essence of the buy and sell pressure created by those wicks. Wick pressure shows that the trend is Exhausted. How it works: This Wick Pressure Indicator checks for three candles forming the wicks in overbought and oversold zones. The zones are set by RSI and can be changed in settings. Those three candles should form a bit long wick and length of the wick is determined by ATR. The ATR multiple can be changed from settings. And then the script draws a box in the area formed by three candle wicks. Confluence: This indicator should not be used on its own. You should include it in your existing trading strategy. Any indicator should be rigorously tested before making any real trades. Settings is the Key: Settings are key to all of my indicators. Play around with it a bit. Change the ATR multiplier. Read the tooltips to understand what each settings mean. Tooltips are the (i) button in-front of each settings. FAQs: Q. Does the indicator Repaint ? --- No. None of my indicators repaints. What you see now is what's drawn in real time. Q. Indicator doesn't show anything ? --- Maybe you've messed up the settings so reset it. or try different coin/stock. Q. Does this indicator give financial advice? --- No. Nope. Nein. Não. नहीं. Conclusion: This indicator is very basic but if used correctly it can be very powerful. Hit me up if you'd like to see the screener/scanner for this or any of my indicators. If you have any questions or suggestions feel free to comment below. I'd love to connect with you. Thank you. ~ SiddWolf
Pine Script® インジケーター
SiddWolfの投稿
11
Volume Pressure BarsDescription This indicator transforms the normal volume bars into buying and selling segments. This allows the user to easily see how much buying and selling pressure is occurring on any given timeframe. The buying and selling pressure values are calculated using the following equations: buyingPressure = volume * (close - low) / (high - low) sellingPressure = volume * (high - close) / (high - low) Moving Average Line Also included in this indicator is the optional moving average line. This allows the user to easily see if volume is above or below the average line. All aspects of the moving average line can be adjusted. The line can be toggled on & off, the length of the moving average can be adjusted, the mathematical smoothing function can be chosen, and the color & style of the line can be configured. Scaling If the volume pressure bars are displayed on the same “pane” as the price candles, then the volume bars can be scaled up or down. In the Input settings check the “Scale Bars” checkbox. Then increase the “Scaling Factor” number to make all of the volume bars smaller (to allow more room on your chart) or decrease the number to make the volume bars bigger. IMPORTANT NOTE #1: scaling only works when the volume pressure bars are in the same pane as the price candles. If the volume pressures bars are in their own pane, then the “Scale Bars” toggle has no effect. IMPORTANT NOTE #2: if the volume pressure bars are in the same pane as the price candles then there will be a sizable gap between the bottom of the volume bars and the time axis on the TradingView chart. This IS NOT a bug in this indicators code. The gap IS a bug in the TradingView platform that affects all volume indicators besides the default volume indicator that comes with each blank chart. To remove the gap then move the “_Vol Bars” indicator to its own pane above or below the main pain. Volume Numbers In Pine Script there is not a true stacked bar chart plot. What the author has to use are multiple bar charts that are in front and behind each other. This gives the impression that the bars are truly stacked because the selling pressure is always smaller than the total volume on any given bar. There is no issue to visually look at the bars and see their heights but if the user used their cursor to hover on a bar to get the actual volume pressure values it leads to issues. To address this problem the author has created a third invisible bar called “Buy Vol Label” that is the buy pressure volume value. Thus when the user hovers the cursor over a bar the first value (from left to right) is the total volume for the bar, the second value is the sell pressure, the third value is the buy pressure, and the fourth value (if toggled on) is the moving average value.
Pine Script® インジケーター
Infinity_Trading_の投稿
12