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Impulse Trend Levels [BOSWaves]Impulse Trend Levels - Momentum-Adaptive Trend Detection with Impulse-Driven Confidence Bands Overview Impulse Trend Levels is a momentum-aware trend identification system that tracks directional price movement through adaptive confidence bands, where band width dynamically adjusts based on impulse strength and freshness to reflect real-time conviction in the current trend direction. Instead of relying on fixed moving average crossovers or static band multipliers, trend state, band positioning, and zone thickness are determined through impulse detection patterns, exponential decay modeling, and volatility-normalized momentum measurement. This creates dynamic trend boundaries that reflect actual momentum intensity rather than arbitrary technical levels - contracting during fresh impulse conditions when trend conviction is high, expanding during impulse decay periods when directional confidence weakens, and incorporating momentum freshness calculations to reveal whether trends are accelerating or deteriorating. Price is therefore evaluated relative to bands that adapt to momentum state rather than conventional static thresholds. Conceptual Framework Impulse Trend Levels is founded on the principle that meaningful trend signals emerge when price momentum intensity reaches significant thresholds relative to recent volatility rather than when price simply crosses moving averages. Traditional trend-following methods identify directional changes through price-indicator crossovers, which often ignore the underlying momentum dynamics and conviction levels that sustain those moves. This framework replaces static-threshold logic with impulse-driven band construction informed by actual momentum strength and decay characteristics. Three core principles guide the design: Trend direction should be determined by volatility-normalized momentum breaches, not simple price crossovers alone. Band width must adapt to impulse freshness, reflecting real-time confidence in the current trend. Momentum decay modeling reveals whether trends are maintaining strength or losing conviction. This shifts trend analysis from static indicator levels into adaptive, momentum-anchored confidence boundaries. Theoretical Foundation The indicator combines exponential moving average smoothing, mean absolute deviation measurement, impulse detection methodology, and exponential decay tracking. An EMA-based trend baseline provides directional reference, while Mean Absolute Deviation (MAD) offers volatility-normalized scaling for momentum measurement. Impulse detection identifies significant price movements relative to recent volatility, triggering fresh momentum readings that decay exponentially over time. Band multipliers interpolate between tight and wide settings based on calculated impulse freshness. Four internal systems operate in tandem: Trend Baseline Engine : Computes EMA-smoothed price levels for directional reference and band anchoring. Volatility Measurement System : Calculates MAD to provide adaptive scaling that normalizes momentum across varying market conditions. Impulse Detection Logic : Identifies volatility-normalized price movements exceeding threshold levels, capturing momentum intensity and direction. Decay-Based Confidence Modeling : Applies exponential decay to impulse readings, converting raw momentum into time-weighted freshness metrics that drive band adaptation. This design allows trend confidence to reflect actual momentum behavior rather than reacting mechanically to price formations. How It Works Impulse Trend Levels evaluates price through a sequence of momentum-aware processes: Baseline Calculation : EMA smoothing of open and close creates a directional trend reference that filters short-term noise. Volatility Normalization : MAD calculation over a specified lookback provides dynamic scaling for momentum measurement. Raw Impulse Detection : Price change over impulse lookback divided by MAD creates volatility-normalized momentum readings. Threshold-Based Activation : When normalized momentum exceeds threshold (1.0), impulse registers with absolute magnitude and directional sign. Exponential Decay Application : Between impulse events, stored impulse value decays exponentially via configurable decay rate. Freshness Conversion : Decaying impulse transforms into freshness metric (0-100%) representing current momentum conviction. Adaptive Band Construction : Band multiplier interpolates between minimum (fresh) and maximum (stale) settings based on freshness, then scales MAD to determine band width. Trend State Logic : Price crossing above upper band triggers bullish state; crossing below lower band triggers bearish state; state persists until opposite breach. Signal Generation : Trend state switches from bearish to bullish produce buy signals; bullish to bearish switches produce sell signals. Retest Identification : Price touching inner band edge after signal buffer period marks retests, with cooldown periods preventing excessive plotting. Together, these elements form a continuously updating trend framework anchored in momentum reality. Interpretation Impulse Trend Levels should be interpreted as momentum-anchored trend confidence boundaries: Bullish Trend State (Cyan) : Established when price closes above adaptive upper band, indicating upward momentum breach with associated confidence level. Bearish Trend State (Magenta) : Established when price closes below adaptive lower band, signaling downward momentum breach with directional conviction. Trend Cloud : Visual gradient zone displays between outer and inner band edges, with opacity reflecting current trend state and confidence. Band Width Dynamics : Tighter bands indicate fresh impulse (high confidence), wider bands indicate impulse decay (reduced confidence). ▲ Buy Signals : Green upward triangles mark bullish trend state initiations at crossovers above upper band. ▼ Sell Signals : Red downward triangles mark bearish trend state initiations at crossovers below lower band. ✦ Retest Markers : Small diamonds identify price retouching inner band edge after sufficient buffer period from initial signal. Retest Extension Lines : Horizontal projections from retest points extend forward, marking potential support/resistance levels. Colored Candles : Optional bar coloring reflects current trend state for immediate visual reference. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly. Impulse freshness, band width dynamics, and momentum normalization outweigh isolated price movements. Signal Logic & Visual Cues Impulse Trend Levels presents two primary interaction signals: Buy Signal (▲) : Green label appears when trend state switches from bearish to bullish via upper band crossover, suggesting momentum shift to upside. Sell Signal (▼) : Red label displays when trend state switches from bullish to bearish via lower band crossunder, indicating momentum shift to downside. Retest detection provides secondary confirmation when price revisits inner band boundaries after signal buffer cooldown expires. Alert generation covers trend state switches (long/short), retest occurrences, and impulse freshness decay below 50% threshold for systematic monitoring. Strategy Integration Impulse Trend Levels fits within momentum-informed and adaptive trend-following approaches: Momentum-Confirmed Entries : Use band crossovers as high-probability trend initiation points where volatility-normalized momentum exceeded threshold. Freshness-Based Position Sizing : Scale exposure based on impulse freshness - larger positions during fresh impulse periods, reduced sizing as impulse decays. Band-Width Risk Management : Expect wider price ranges when bands expand during decay, tighter ranges when bands contract during fresh impulse. Retest-Based Re-entry : Use inner band retests as lower-risk entry opportunities within established trends after initial signal cooldown. Cloud-Aligned Directional Bias : Favor trades aligning with current trend state rather than counter-trend positions. Multi-Timeframe Momentum Confirmation : Apply higher-timeframe impulse trend state to filter lower-timeframe entry precision. Technical Implementation Details Core Engine : EMA-based baseline with MAD volatility measurement Impulse Model : Volatility-normalized momentum detection with directional sign capture Decay System : Exponential decay application (0.8-0.99 range) with freshness conversion Band Construction : Linear interpolation between min/max multipliers scaled by MAD Visualization : Gradient-filled cloud zones with bar coloring and signal labels Signal Logic : State-switch detection with retest buffer and cooldown mechanisms Performance Profile : Optimized for real-time execution across all timeframes Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-trend detection for scalping with responsive impulse settings 15 - 60 min : Intraday momentum tracking with balanced decay characteristics 4H - Daily : Swing-level trend identification with sustained impulse persistence Suggested Baseline Configuration: Trend Length : 19 Impulse Lookback : 5 Decay Rate : 0.99 MAD Length : 20 Band Min (Fresh) : 1.5 Band Max (Stale) : 1.9 Signal Buffer Period : 10 Show Trend Cloud : Enabled Color Bars : Enabled (requires disabling original chart candles in chart settings) Show Buy/Sell Signals : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive signal noise : Increase Trend Length to demand smoother baseline crossovers or increase Impulse Lookback for less reactive momentum detection. Missed momentum shifts : Decrease Impulse Lookback to capture shorter-term momentum changes or reduce Decay Rate to allow faster impulse fade. Bands too tight/wide : Adjust Band Min and Band Max multipliers to modify confidence zone thickness across freshness spectrum. Impulse decays too quickly : Increase Decay Rate toward 0.99 to sustain impulse readings longer between fresh events. Impulse decays too slowly : Decrease Decay Rate toward 0.8 for faster momentum fade and more frequent band expansion. Unstable volatility scaling : Increase MAD Length to smooth volatility measurement and reduce sensitivity to short-term spikes. Too many retest markers : Increase retest cooldown period (55 bars hardcoded) or increase Signal Buffer Period to space out signals. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear momentum phases and directional persistence Instruments with consistent volatility characteristics where MAD scaling normalizes effectively Momentum continuation strategies entering on fresh impulse signals Trend-following approaches benefiting from adaptive confidence measurement Reduced Effectiveness: Choppy, range-bound markets with frequent whipsaw crossovers Extremely low volatility environments where impulse threshold becomes difficult to breach News-driven or gapped markets with discontinuous momentum patterns Mean-reversion dominant conditions where momentum breaches quickly reverse Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or traditional trend indicators Freshness Respect : Trust signals occurring during high impulse freshness periods with contracted bands Decay Awareness : Reduce position sizing or tighten stops as impulse decays and bands widen Retest Utilization : Treat inner band retests as continuation confirmation rather than reversal signals State Discipline : Maintain directional bias aligned with current trend state until opposite band breach occurs Disclaimer Impulse Trend Levels is a professional-grade momentum and trend analysis tool. It uses volatility-normalized impulse detection with exponential decay modeling but does not predict future price movements. Results depend on market conditions, volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script®指标
由BOSWaves提供
8
StO Price Action - Bank Timings [Demo]Short Summary - Visualizes market activity intensity based on historical price movement data (Oanda, M5) - Highlights zones where price moves most frequently across market times - Lvl 0 marks the highest intensity areas - Includes experimental projection into future bars - Supported markets: XAU/USD (Gold), EUR/USD (EU) with Lvl 0 & 1 Demo Restrictions - Timeframe dropdown selections are limited - Line style dropdown selections are limited - Multi-timeframe functionality is removed or restricted - Alerts are disabled or completely removed - No code logic runs behind disabled GUI elements Full Description Overview - Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.) - Identifies time zones with the highest concentration of price activity - Designed to show when markets are statistically more active - Supported are three limited marks Intensity Levels - Lvl 0 represents the highest concentration of price movement - Lvl 1 shows strong but slightly reduced activity - Lvl 2 marks moderate recurring activity - Lvl 3 highlights lower but still relevant activity zones - Each level can be enabled or disabled independently Visualization - Intensity levels are visualized using colored bars or markers - Stronger intensity levels use more prominent coloring - Works across different symbols and markets Future Bars Projection - Experimental feature to project intensity into future bars - Helps anticipate periods of increased market activity - Projection is time-based (vertical bars), not price-based - Best suited for timeframes below H1 Future Shift Control - Allows shifting projected intensity forward or backward in time - Shift values are defined in hours (sometimes needed) - Useful for session alignment and market timing Notes - Indicator is based on historical statistical aggregation - No prediction of direction, only activity intensity - Experimental future projection may vary by market - Best used as a contextual timing tool
Pine Script®指标
由sto_svc提供
RSI Min/Max Tracker - HD AlgoRSI Min/Max Tracker – HD Algo RSI Min/Max Tracker is a momentum analysis indicator designed to enhance traditional RSI usage by continuously tracking the lowest and highest RSI values reached over the visible chart history. This provides immediate context on whether the current RSI is relatively extended or compressed compared to prior market behavior. How it works Calculates the Relative Strength Index (RSI) using a user-defined length and price source. Dynamically records the minimum and maximum RSI values observed since the indicator started. Updates these extremes in real time as new bars form. Visual elements RSI Line (Blue): The current RSI value. Lowest RSI (Red): The historical minimum RSI reached. Highest RSI (Green): The historical maximum RSI reached. Reference Levels: 70 – Overbought (dashed red) 50 – Midline (dotted gray) 30 – Oversold (dashed green) Info Table A compact table in the top-right corner displays: Current RSI Lowest recorded RSI Highest recorded RSI Use cases Identify whether RSI is near historical extremes. Improve overbought/oversold context beyond fixed 30/70 levels. Support mean-reversion, momentum, and divergence-based strategies. Best used for Intraday and swing traders who want a clearer perspective on RSI behavior relative to recent market conditions, rather than relying solely on static thresholds.
Pine Script®指标
由hdalgo提供
StO Price Action - Bank Timings [Light]Short Summary - Visualizes market activity intensity based on historical price movement data (Oanda, M5) - Highlights zones where price moves most frequently across market times - Lvl 0 marks the highest intensity areas - Includes experimental projection into future bars - Supported markets: XAU/USD (Gold), XAG/USD (Silver) EUR/USD (EU), BTC (Bitcoin) with Lvl 0 & 1 Light Restrictions - Timeframe dropdown selections are limited - Line style dropdown selections are limited - Multi-timeframe functionality is removed or restricted - Alerts are disabled or completely removed - No code logic runs behind disabled GUI elements Full Description Overview - Shows historical price movement data for some markets (from FX, Futures, Indexes, etc.) - Identifies time zones with the highest concentration of price activity - Designed to show when markets are statistically more active Intensity Levels - Lvl 0 represents the highest concentration of price movement - Lvl 1 shows strong but slightly reduced activity - Lvl 2 marks moderate recurring activity - Lvl 3 highlights lower but still relevant activity zones - Each level can be enabled or disabled independently Visualization - Intensity levels are visualized using colored bars or markers - Stronger intensity levels use more prominent coloring - Works across different symbols and markets Future Bars Projection - Experimental feature to project intensity into future bars - Helps anticipate periods of increased market activity - Projection is time-based (vertical bars), not price-based - Best suited for timeframes below H1 Future Shift Control - Allows shifting projected intensity forward or backward in time - Shift values are defined in hours (sometimes needed) - Useful for session alignment and market timing Notes - Indicator is based on historical statistical aggregation - No prediction of direction, only activity intensity - Experimental future projection may vary by market - Best used as a contextual timing tool
Pine Script®指标
由sto_svc提供
ATR lowATR Low is an indicator designed to identify potential local market bottoms after an impulsive price decline. It helps highlight moments when selling pressure weakens and the market may be preparing for a bounce or reversal. ATR Low — это индикатор для поиска потенциальных локальных минимумов рынка после импульсного падения цены. Он помогает увидеть момент, когда давление продаж ослабевает и рынок готов к отскоку или развороту.
Pine Script®指标
由Crypto_Sergeyev提供
RSI Buy Sell Signals (Fixed) TSMRSI Buy–Sell Signals Indicator is a simple and effective momentum-based tool designed for scalping and intraday trading. It uses the Relative Strength Index (RSI) to identify high-probability BUY and SELL opportunities directly on the price chart. 🔹 How It Works BUY Signal Triggers when RSI crosses above 30 (oversold recovery) or above 50 (bullish momentum). SELL Signal Triggers when RSI crosses below 70 (overbought reversal) or below 50 (bearish momentum). Signals are non-repainting and appear at candle close.
Pine Script®指标
由SARAVANANTamilShareMarket提供
bosstvs tikole sir + VWAP + EMA21 + SMA50Simple VWAP + SMA Trend with Pivot High/Low 📖 Description This indicator is designed to identify bullish and bearish market conditions using VWAP, 21 SMA, and 50 SMA, along with Pivot High and Pivot Low lines for structure-based support and resistance. It helps traders quickly understand trend direction, market bias, and key price levels on any timeframe. ✅ Bullish Conditions Price is above 21 SMA Price is above VWAP 🟢 Indicates strong bullish momentum. ❌ Bearish Conditions Price is below 21 SMA Price is below 50 SMA Price is below VWAP 🔴 Indicates strong bearish momentum. 📐 Pivot High / Low Pivot High lines act as resistance Pivot Low lines act as support Helps in identifying breakouts, reversals, and structure 🎯 Best Use Intraday & Swing trading Trend confirmation Support & Resistance mapping Works well with price action strategies
Pine Script®指标
由TIKOLE14提供
Universe_PRMP (Universe_Professional Risk Management Panel)Description Universe_PRMP (Universe_Professional Risk Management Panel) This comprehensive tool is designed to bring institutional-grade risk discipline to retail traders. Managing risk is the most critical part of trading, especially in high-leverage environments. This script automates the complex calculations of position sizing and profit/loss projection. How to Use: Initial Setup: When you add the script to your chart, it will prompt you to select two price levels. The first click sets your Stop Loss (SL) and the second sets your Take Profit (TP). Account Configuration: Open the script settings (the gear icon) to input your Account Balance and the Percentage of Risk you are willing to take per trade (standard is 1% or 2%). Market Conditions: Enter your broker's current Spread in pips to ensure the lot size calculation accounts for the cost of entry. Active Monitoring: Suggested Lot: The dashboard will immediately show the exact lot size you should enter in your trading platform. Real-Time Projection: As price moves, the dashboard tracks whether your trade is active, hit the target, or stopped out. Visual Labels: Red (SL) and Green (TP) labels on the chart provide clear visual cues for your exit points. Key Features: Dynamic Position Sizing: Automatically adjusts lot size based on the distance between entry and SL. Spread Integration: Protects your capital by including transaction costs in the risk calculation. Ticker Sensitivity: The panel recognizes symbol changes to prevent calculation errors across different pairs. Visual Status Indicators: Color-coded status alerts to keep you emotionally detached and strategically focused. DISCLAIMER: This script is an educational and utility tool designed for risk calculation purposes only. It does not provide trading signals or investment advice. Past performance is not indicative of future results. Use this tool at your own risk.
Pine Script®指标
由Fib_Universe提供
StO Price Action - Decision LevelsShort Summary - Detects so-called Decision Levels based on engulfing-style candle structures - Highlights price areas where market control shifts decisively - Designed to mark high-impact reaction levels Full Description Overview - Identifies Decision Levels using multi-candle engulfing logic - Evaluates three consecutive candles to detect directional dominance - Long Decision Levels form after bearish pressure is fully absorbed and reversed - Short Decision Levels form after bullish pressure is fully absorbed and reversed - Levels are anchored to structurally relevant candle prices - Supports multiple engulfing variants for robustness Logic - Decision Levels represent areas of decisive order flow imbalance - Conceptually similar to engulfing patterns but structurally stricter - Each level marks a price where control clearly changes hands - Works on configurable timeframes - Visualized directly on the chart with optional markers Usage - Select the timeframe used to detect Decision Levels - Configure line style, length, and colors for long and short levels - Enable background highlights or triangle markers - Use Decision Levels as reaction zones, entry references or confluence points Notes - Decision Levels are structure-based, not signal-based - No repainting once a level is confirmed - Best used in combination with market structure or SnR - Higher timeframes produce fewer but more significant levels - Designed to highlight intent, not predict direction
Pine Script®指标
由sto_svc提供
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow (KAE) KAE Flow is a quantitative composite indicator designed to identify dominant market trends by fusing three distinct dimensions of price action: Volatility, Trend Age, and Volume Pressure. Unlike standard indicators that rely on a single data point (like a moving average crossover), KAE Flow aggregates three independent logic engines into a single normalized "Flow" score. This score is then smoothed using an Arnaud Legoux Moving Average (ALMA) to filter out noise while retaining responsiveness to genuine trend reversals. This script operates strictly on the current chart timeframe, ensuring all signals are causal, non-repainting, and reliable for real-time analysis. 1. The Quantitative Engine (How it Works) The indicator polls three separate components. Each component votes "1" (Bullish), "-1" (Bearish), or "0" (Neutral). These votes are averaged to create the raw signal. K — Keltner Channels (Volatility Dimension) Concept: Measures volatility expansion. Logic: The script calculates Keltner Channels using an EMA center line and ATR bands. Bullish (+1): Price closes above the Upper Channel. Bearish (-1): Price closes below the Lower Channel. This component ensures we only trade when price is breaking out of its expected volatility range. A — Aroon (Trend Age Dimension) Concept: Measures the strength and "freshness" of a trend. Logic: We utilize the Aroon Up and Aroon Down metrics. Bullish (+1): Aroon Up is greater than Aroon Down AND Aroon Up is > 70. Bearish (-1): Aroon Down is greater than Aroon Up AND Aroon Down > 70. This filters out weak or aging trends, ensuring the move has mathematical momentum. E — Elder’s Force Index (Volume Dimension) Concept: Measures volume-weighted price change. Logic: We calculate the raw Force Index (Close - Close ) * Volume and smooth it with an EMA. Bullish (+1): Smoothed EFI > 0. Bearish (-1): Smoothed EFI < 0. This component confirms that price movement is supported by actual volume flow (accumulation/distribution). 2. Signal Processing (ALMA Smoothing) Raw aggregation can be noisy. The composite score is passed through an ALMA (Arnaud Legoux Moving Average) filter. Why ALMA? It uses a Gaussian distribution to provide smoothness without the significant lag associated with SMA or EMA. This creates the "Flow" line that resists false flips during choppy consolidation. 3. How to Use The indicator plots a signal line and dynamically colors the price bars and background to reflect the dominant bias. Deep Blue (Bullish Flow): The KAE Score is > 0.1. All three engines (or the majority) are aligned bullishly. Traders typically look for long entries or hold existing long positions. White (Bearish Flow): The KAE Score is < -0.1. The majority of engines detect bearish volatility and volume. Traders typically look for short entries. Gray (Neutral): The score is between -0.1 and 0.1. The market is in equilibrium or transition. Trend-following strategies should be paused. 4. Configuration Logic Engine: You can toggle individual components (K, A, or E) on or off to isolate specific market dimensions. Smoothing: Adjust the ALMA Window and Offset to fine-tune the sensitivity of the signal line. Lengths: Fully customizable periods for Keltner, Aroon, and EFI to adapt to different asset classes (e.g., Crypto vs. Forex).
Pine Script®指标
由D_QUANT提供
1
Psico LevelsPsychological Levels - 000 / 250 / 500 / 750 This indicator automatically draws psychological price levels (.000, .250, .500, .750) directly on your chart. Psychological levels are "round" prices that tend to attract traders' attention and often act as natural support/resistance zones. These levels are particularly relevant in forex, crypto, and indices. FEATURES: - Horizontal lines at .000, .250, .500, .750 levels - Enable/disable each level individually - Customizable colors for each level type - Adjustable base step (default 1.0) - Lines automatically extend to the right SETTINGS: - Base Step: sets the interval between main levels (1.0 = 1.000) - Show .000/.250/.500/.750: toggle individual levels on/off - Customizable colors for each level HOW TO USE: Ideal for identifying significant price zones where market reactions are likely to occur. The .000 and .500 levels are generally the most relevant, while .250 and .750 provide intermediate levels. Perfect for scalping, day trading, and swing trading on any timeframe.
Pine Script®指标
由edo1198提供