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Volumetric Expansion/Contraction### Indicator Title: Volumetric Expansion/Contraction ### Summary The Volumetric Expansion/Contraction (PCC) indicator is a comprehensive momentum oscillator designed to identify high-conviction price moves. Unlike traditional oscillators that only look at price, the PCC integrates four critical dimensions of market activity: **Price Change**, **Relative Volume (RVOL)**, **Cumulative Volume Delta (CVD)**, and **Average True Range (ATR)**. Its primary purpose is to help traders distinguish between meaningful, volume-backed market expansions and noisy, unsustainable price action. It gives more weight to moves that occur in a controlled, low-volatility environment, highlighting potential starts of new trends or significant shifts in market sentiment. ### Key Concepts & Purpose The indicator's unique formula synthesizes the following concepts: 1. **Price Change:** Measures the magnitude and direction of the primary move. 2. **Relative Volume (RVOL):** Confirms that the move is backed by significant volume compared to its recent average, indicating institutional participation. 3. **Cumulative Volume Delta (CVD):** Measures the underlying buying and selling pressure, confirming that the price move is aligned with the net flow of market orders. 4. **Inverse Volatility (ATR):** This is the indicator's unique twist. It normalizes the signal by the inverse of the Average True Range. This means the indicator's value is **amplified** when volatility (ATR) is low (signifying a controlled, confident expansion) and **dampened** when volatility is high (filtering out chaotic, less predictable moves). The goal is to provide a single, easy-to-read oscillator that signals when price, volume, and order flow are all in alignment, especially during a breakout from a period of contraction. ### Features * **Main Oscillator Line:** A single line plotted in a separate pane that represents the calculated strength of the volumetric expansion or contraction. * **Zero Line:** A dotted reference line to easily distinguish between bullish (above zero) and bearish (below zero) regimes. * **Visual Threshold Zones:** The background automatically changes color to highlight periods of significant strength: * **Bright Green:** Indicates a "Strong Up Move" when the oscillator crosses above the user-defined upper threshold. * **Bright Fuchsia:** Indicates a "Strong Down Move" when the oscillator crosses below the user-defined lower threshold. ### Configurable Settings & Filters The indicator is fully customizable to allow for extensive testing and adaptation to different assets and timeframes. #### Main Calculation Inputs * **Price Change Lookback:** Sets the period for calculating the primary price change. * **CVD Normalization Length:** The lookback period for normalizing the Cumulative Volume Delta. * **RVOL Avg Volume Length:** The lookback for the simple moving average of volume, used to calculate RVOL. * **RVOL Normalization Length:** The lookback period for normalizing the RVOL score. * **ATR Length & Normalization Length:** Sets the periods for calculating the ATR and its longer-term average for normalization. #### Weights * Fine-tune the impact of each core component on the final calculation, allowing you to emphasize what matters most to your strategy (e.g., give more weight to CVD or RVOL). #### External Market Filter (Powerful Feature) * **Enable SPY/QQQ Filter for Up Moves?:** A checkbox to activate a powerful regime filter. * **Symbol:** A dropdown to choose whether to filter signals based on the trend of **SPY** or **QQQ**. * **SMA Period:** Sets the lookback period for the Simple Moving Average (default is 50). * **How it works:** When enabled, this filter will **only allow "Strong Up Move" signals to appear if the chosen symbol (SPY or QQQ) is currently trading above its specified SMA**. This is an excellent tool for aligning your signals with the broader market trend and avoiding bullish entries in a bearish market. #### Visuals * **Upper/Lower Threshold:** Allows you to define what level the oscillator must cross to trigger the colored background zones, letting you customize the indicator's sensitivity. *** **Disclaimer:** This tool is designed for market analysis and confluence. It is not a standalone trading system. Always use this indicator in conjunction with your own trading strategy, risk management, and other forms of analysis.
Indicador Pine Script®
por phonzietrade
Ultimate Williams %RUltimate Williams %R The most advanced Williams %R indicator available - featuring multi-timeframe analysis, zero-lag processing, volatility adaptivity, and intelligent extreme zone detection. Key Improvements Over Standard Williams %R Multi-Timeframe: Combines short, medium, and long-term Williams %R calculations with Ultimate Oscillator-style weighting for superior signal quality Zero-Lag Implementation: Utilizes Ehler's Zero-Lag EMA with error correction, eliminating traditional oscillator lag while maintaining smoothness Volatility Adaptive: Automatically adjusts periods based on ATR volatility analysis for optimal performance in all market conditions Z-Score Normalization: Provides consistent, statistically-based extreme level detection across different market environments Perfect For Overbought/Oversold Identification: Instantly spot extreme market conditions with visual intensity that scales with signal strength Divergence Analysis: Enhanced responsiveness and smooth operation make divergence patterns clearer and more reliable Multi-Timeframe Confirmation: Built-in timeframe combination eliminates the need for multiple Williams %R indicators Entry/Exit Timing: Zero-lag processing provides earlier signals without sacrificing accuracy Customizable Settings Timeframe Periods: Adjustable short (7), medium (14), and long (28) periods Volatility Adaptation: Configurable ATR-based period adjustment Zero-Lag Processing: Toggle and fine-tune the smoothing system Z-Score Normalization: Adjustable lookback period for statistical analysis Extreme Levels: Customizable threshold for extreme signal detection
Indicador Pine Script®
por B3AR_Trades
Momentum ScopeOverview Momentum Scope is a Pine Script™ v6 study that renders a –1 to +1 momentum heatmap across up to 32 lookback periods in its own pane. Using an Augmented Relative Momentum Index (ARMI) and color shading, it highlights where momentum strengthens, weakens, or stays flat over time—across any asset and timeframe. Key Features Full-Spectrum Momentum Map : Computes ARMI for 1–32 lookbacks, indexed from –1 (strong bearish) to +1 (strong bullish). Flexible Scale Gradation : Choose Linear or Exponential spacing, with adjustable expansion ratio and maximum depth. Trending Bias Control : Apply a contrast-style curve transform to emphasize trending vs. mean-reverting behavior. Duotone & Tritone Palettes : Select between two vivid color styles, with user-definable hues for bearish, bullish, and neutral momentum. Compact, Overlay-Free Display : Renders solely in its own pane—keeping your price chart clean. Inputs & Customization Scale Gradation : Linear or Exponential spacing of intervals Scale Expansion : Ratio governing step-size between successive lookbacks Scale Maximum : Maximum lookback period (and highest interval) Trending Bias : Curve-transform bias to tilt the –1 … +1 grid Color Style : Duotone or Tritone rendering modes Reducing / Increasing / Neutral Colors : Pick your own hues for bearish, bullish, and flat zones How to Use Add to Chart : Apply “Momentum Scope” as a separate indicator. Adjust Scale : For exponential spacing, switch your indicator Y-axis to Logarithmic . Set Bias & Colors : Tweak Trending Bias and choose a palette that stands out on your layout. Interpret the Heatmap : Red tones = weakening/bearish momentum Green tones = strengthening/bullish momentum Neutral hues = indecision or flat momentum Copyright © 2025 MVPMC. Licensed under MIT. For full license see opensource.org
Indicador Pine Script®
por MVPMC
RSI Distance+Here’s a Pine Script that highlights when the RSI line is significantly far from its moving average, just like in your marked image: 🔍 How It Works: Calculates RSI and its SMA. Measures absolute distance between the two. If that distance exceeds your chosen threshold (e.g. 4.0), it: Colors the background behind the RSI. Marks it with a small red circle on the RSI line. You can adjust the distanceThreshold input to fine-tune sensitivity based on your preference.
Indicador Pine Script®
por andacondaa
RSI Rangebound AreaRSI Rangebound Area is a Pine Script v6 indicator that automatically detects consolidation zones where both price and RSI stay within user-defined thresholds. During a rangebound period it: Shades the background to highlight consolidation Places “Range Start” and “Range End” labels at the beginning and end Displays an info table (RSI value, price range %, RSI range, current state: Rangebound/Trending) Key Inputs RSI Length Overbought / Oversold Levels Range Detection Period Max Price Range (%) Max RSI Range Toggle for “Please add RSI(14) indicator” reminder Ideal for spotting flat markets and refining breakout or mean-reversion entries. Free and open-source—feel free to customize and contribute!
Indicador Pine Script®
por PlanB_Neworder
Smarter Money Flow Divergence Detector [PhenLabs]📊 Smarter Money Flow Divergence Detector Version: PineScript™ v6 📌 Description SMFD was developed to help give you guys a better ability to “read” what is going on behind the scenes without directly having access to that level of data. SMFD is an enhanced divergence detection indicator that identifies money flow patterns from advanced volume analysis and price action correspondence. The detection portion of this indicator combines intelligent money flow calculations with multi timeframe volume analysis to help you see hidden accumulation and distribution phases before major price movements occur. The indicator measures institutional trading activity by looking at volume surges, price volume dynamics, and the factors of momentum to construct an overall picture of market sentiment. It’s built to assist traders in identifying high probability entries by identifying if smart money is positioning against price action. 🚀 Points of Innovation ● Advanced Smart Money Flow algorithm with volume spike detection and large trade weighting ● Multi timeframe volume analysis for enhanced institutional activity detection ● Dynamic overbought/oversold zones that adapt to current market conditions ● Enhanced divergence detection with pivot confirmation and strength validation ● Color themes with customizable visual styling options ● Real time institutional bias tracking through accumulation/distribution analysis 🔧 Core Components ● Smart Money Flow Calculation: Combines price momentum, volume expansion, and VWAP analysis ● Institutional Bias Oscillator: Tracks accumulation/distribution patterns with volume pressure analysis ● Enhanced Divergence Engine: Detects bullish/bearish divergences with multiple confirmation factors ● Dynamic Zone Detection: Automatically adjusts overbought/oversold levels based on market volatility ● Volume Pressure Analysis: Measures buying vs selling pressure over configurable periods ● Multi factor Signal System: Generates entries with trend alignment and strength validation 🔥 Key Features ● Smart Money Flow Period: Configurable calculation period for institutional activity detection ● Volume Spike Threshold: Adjustable multiplier for detecting unusual institutional volume ● Large Trade Weight: Emphasis factor for high volume periods in flow calculations ● Pivot Detection: Customizable lookback period for accurate divergence identification ● Signal Sensitivity: Three tier system (Conservative/Medium/Aggressive) for signal generation ● Themes: Four color schemes optimized for different chart backgrounds 🎨 Visualization ● Main Oscillator: Line, Area, or Histogram display styles with dynamic color coding ● Institutional Bias Line: Real time tracking of accumulation/distribution phases ● Dynamic Zones: Adaptive overbought/oversold boundaries with gradient fills ● Divergence Lines: Automatic drawing of bullish/bearish divergence connections ● Entry Signals: Clear BUY/SELL labels with signal strength indicators ● Information Panel: Real time statistics and status updates in customizable positions 📖 Usage Guidelines Algorithm Settings ● Smart Money Flow Period ○ Default: 20 ○ Range: 5-100 ○ Description: Controls the calculation period for institutional flow analysis. Higher values provide smoother signals but reduce responsiveness to recent activity ● Volume Spike Threshold ○ Default: 1.8 ○ Range: 1.0-5.0 ○ Description: Multiplier for detecting unusual volume activity indicating institutional participation. Higher values require more extreme volume for detection ● Large Trade Weight ○ Default: 2.5 ○ Range: 1.5-5.0 ○ Description: Weight applied to high volume periods in smart money calculations. Increases emphasis on institutional sized transactions Divergence Detection ● Pivot Detection Period ○ Default: 12 ○ Range: 5-50 ○ Description: Bars to analyze for pivot high/low identification. Affects divergence accuracy and signal frequency ● Minimum Divergence Strength ○ Default: 0.25 ○ Range: 0.1-1.0 ○ Description: Required price change percentage for valid divergence patterns. Higher values filter out weaker signals ✅ Best Use Cases ● Trading with intraday to daily timeframes for institutional position identification ● Confirming trend reversals when divergences align with support/resistance levels ● Entry timing in trending markets when institutional bias supports the direction ● Risk management by avoiding trades against strong institutional positioning ● Multi timeframe analysis combining short term signals with longer term bias ⚠️ Limitations ● Requires sufficient volume for accurate institutional detection in low volume markets ● Divergence signals may have false positives during highly volatile news events ● Best performance on liquid markets with consistent institutional participation ● Lagging nature of volume based calculations may delay signal generation ● Effectiveness reduced during low participation holiday periods 💡 What Makes This Unique ● Multi Factor Analysis: Combines volume, price, and momentum for comprehensive institutional detection ● Adaptive Zones: Dynamic overbought/oversold levels that adjust to market conditions ● Volume Intelligence: Advanced algorithms identify institutional sized transactions ● Professional Visualization: Multiple display styles with customizable themes ● Confirmation System: Multiple validation layers reduce false signal generation 🔬 How It Works 1. Volume Analysis Phase: ● Analyzes current volume against historical averages to identify institutional activity ● Applies multi timeframe analysis for enhanced detection accuracy ● Calculates volume pressure through buying vs selling momentum 2. Smart Money Flow Calculation: ● Combines typical price with volume weighted analysis ● Applies institutional trade weighting for high volume periods ● Generates directional flow based on price momentum and volume expansion 3. Divergence Detection Process: ● Identifies pivot highs/lows in both price and indicator values ● Validates divergence strength against minimum threshold requirements ● Confirms signals through multiple technical factors before generation 💡 Note: This indicator works best when combined with proper risk management and position sizing. The institutional bias component helps identify market sentiment shifts, while divergence signals provide specific entry opportunities. For optimal results, use on liquid markets with consistent institutional participation and combine with additional technical analysis methods.
Indicador Pine Script®
por PhenLabs
Rolling Z-Score Trend [QuantAlgo]🟢 Overview The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts. The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes. 🟢 How It Works The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals. Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action. 🟢 How to Use 1. Z-Score Interpretation and Threshold Zones Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities 2. Momentum Background Analysis and Info Table Green Columns : Accelerating positive momentum in Z-Score values Red Columns : Accelerating negative momentum in Z-Score values Column Height : Magnitude of momentum change between bars Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management 3. Preconfigured Settings Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management. Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements. Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes. Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Indicador Pine Script®
por QuantAlgo
3
True High/Low RSI for DivergenceThis Pine Script creates a highly specialized RSI (Relative Strength Index) indicator designed to provide a more accurate signal for divergence trading. Its official title is "True High/Low RSI for Divergence." Here is a breakdown of its core features: 1. Dual RSI Calculation based on Highs and Lows: Unlike a standard RSI that typically uses the closing price of a candle, this indicator calculates two separate RSI lines: A "High RSI" : This line calculates the RSI based on the high price of each candle. It is intended to track momentum peaks more accurately. A "Low RSI" : This line calculates the RSI based on the low price of each candle. It is designed to track momentum troughs more accurately. The main purpose of this separation is to avoid the potential errors that can occur when using an average price (like the close or hl2) during periods of high volatility. By using the true extremes of the price candles, the indicator aims to show a more "true" representation of momentum for identifying divergences between price and the indicator. 2. Dynamic Transparency: This is a key visual feature. The RSI lines are not always fully visible. They dynamically fade into view as they enter significant overbought or oversold zones: The Low RSI line (red by default) is invisible when above a value of 50. As it drops from 49 towards 30, it becomes progressively more opaque (more visible). It reaches full opacity at an RSI value of 30, visually alerting the user to strengthening oversold conditions. The High RSI line (blue by default) is invisible when below a value of 50. As it rises from 51 towards 70, it also becomes progressively more opaque. It is fully opaque at an RSI value of 70, highlighting strengthening overbought conditions. 3. User Customization: The script allows for user flexibility. You can change: The colors for both the High and Low RSI lines. The RSI calculation length (default is 14). The price source for each RSI line (though they are specifically designed to use high and low). In summary, this indicator is a purpose-built tool for traders who rely on divergence. It provides a more precise and visually intuitive way to track momentum at its true peaks and troughs, helping to make more informed trading decisions.
Indicador Pine Script®
por Lakt_
Trend Flow Trail [AlgoAlpha]OVERVIEW This script overlays a custom hybrid indicator called the Money Flow Trail which combines a volatility-based trend-following trail with a volume-weighted momentum oscillator. It’s built around two core components: the AlphaTrail—a dynamic band system influenced by Hull MA and volatility—and a smoothed Money Flow Index (MFI) that provides insights into buying or selling pressure. Together, these tools are used to color bars, generate potential reversal markers, and assist traders in identifying trend continuation or exhaustion phases in any market or timeframe. CONCEPTS The AlphaTrail calculates a volatility-adjusted channel around price using the Hull Moving Average as the base and an EMA of range as the spread. It adaptively shifts based on price interaction to capture trend reversals while avoiding whipsaws. The direction (bullish or bearish) determines both the band being tracked and how the trail locks in. The Money Flow Index (MFI) is derived from hlc3 and volume, measuring buying vs selling pressure, and is further smoothed with a short Hull MA to reduce noise while preserving structure. These two systems work in tandem: AlphaTrail governs directional context, while MFI refines the timing. FEATURES Dynamic AlphaTrail line with regime switching logic that controls directional bias and bar coloring. Smoothed MFI with gradient coloring to visually communicate pressure and exhaustion levels. Overbought/oversold thresholds (80/20), mid-level (50), and custom extreme zones (90/10) for deeper signal granularity. Built-in take-profit signal logic: crossover of MFI into overbought with bullish AlphaTrail, or into oversold with bearish AlphaTrail. Visual fills between price and AlphaTrail for clearer confirmation during trend phases. Alerts for regime shifts, MFI crossovers, trail interactions, and bar color regime changes. USAGE Add the indicator to any chart. Use the AlphaTrail plot to define trend context: bullish (trailing below price) or bearish (trailing above). MFI values give supporting confirmation—favor long setups when MFI is rising and above 50 in a bullish regime, and shorts when MFI is falling and below 50 in a bearish regime. The colored fills help visually track strength; sharp changes in MFI crossing 80/20 or 90/10 zones often precede pullbacks or reversals. Use the plotted circles as optional take-profit signals when MFI and trend are extended. Adjust AlphaTrail length/multiplier and MFI smoothing to better match the asset’s volatility profile.
Indicador Pine Script®
por AlgoAlpha
10
MTF RSI MA System + Adaptive BandsMTF RSI MA System + Adaptive Bands Overview MTF RSI MA System + Adaptive Bands is a highly customizable Pine Script indicator for traders seeking a versatile tool for multi-timeframe (MTF) analysis. Unlike traditional RSI, it focuses on the Moving Average of RSI (RSI MA), delivering smoother and more flexible trading signals. The main screenshot displays the indicator in two panels to showcase its diverse capabilities. Important: Timeframes do not adjust automatically – users must manually set them to match the chart’s timeframe. Features Core Component: Built around RSI MA, not raw RSI, for smoother trend signals. Multi-Timeframe: Analyze RSI MA across three customizable timeframes (default: 4H, 8H, 12H). Adaptive Bands: Three band calculation methods (Fixed, Percent, StdDev) for dynamic signals. Flexible Signals: Generated via RSI MA crossovers, band interactions, or directional alignment across timeframes. Background Coloring: Highlights when RSI MAs across timeframes move in the same direction, aiding trend confirmation. Screenshot Panels Configuration Upper Panel: Shows RSI, RSI MA, and fixed bands for reversal strategies (RSI crossing bands). Lower Panel: Displays three RSI MAs (Alligator-style) for trend-following, with background coloring for directional alignment. Band Calculation Methods The indicator offers three ways to calculate bands around RSI MA, each with unique characteristics: Fixed Bands Set at a fixed point value (default: 10) above and below RSI MA. Example: If RSI MA = 50, band value = 10 → upper band = 60, lower = 40. Use Case: Best for stable markets or fixed-range preferences. Tip: Adjust the band value to widen or narrow the range based on asset volatility. Percent Bands Calculated as a percentage of RSI MA (default: 10%). Example: If RSI MA = 50, band value = 10% → upper band = 55, lower = 45. Use Case: Ideal for assets with varying volatility, as bands scale with RSI MA. Tip: Experiment with percentage values to match typical price swings. Standard Deviation Bands (StdDev) Based on RSI’s standard deviation over the MA period, multiplied by a user-defined factor (default: 10). Example: If RSI MA = 50, standard deviation = 5, factor = 2 → upper band = 60, lower = 40. Important: The default value (10) may produce wide bands. Reduce to 1–2 for tighter, practical bands. Use Case: Best for dynamic markets with fluctuating volatility. Configuration Options RSI Length: Set RSI calculation period (default: 20). MA Length: Set RSI MA period (default: 20). MA Type: Choose SMA or EMA for RSI MA (default: EMA). Timeframes: Configure three timeframes (default: 4H, 8H, 12H) for MTF analysis. Overbought/Oversold Levels: Optionally display fixed levels (default: 70/30). Background Coloring: Enable/disable for each timeframe to highlight directional alignment. How to Use Add Indicator: Load it onto your TradingView chart. Setup: Reversals: Configure like the upper panel (RSI, RSI MA, bands) and watch for RSI crossing bands. Trends: Configure like the lower panel (three RSI MAs) and look for fastest MA crossovers and background coloring. Adjust Timeframes: Manually set tf1, tf2, tf3 (e.g., 1H, 2H, 4H on a 1H chart) to suit your strategy. Adjust Bands: Choose band type (Fixed, Percent, StdDev) and value. For StdDev, reduce to 1–2 for tighter bands. Experiment: Test settings to match your trading style, whether scalping, swing trading, or long-term. Notes Timeframes: Always match tf1, tf2, tf3 to your chart’s needs, as they don’t auto-adjust. StdDev Bands: Lower the default value (10) to avoid overly wide bands. Versatility: Works across markets (stocks, forex, crypto).
Indicador Pine Script®
por Uncle_the_shooter
RSI SMA Inflection AlertFor trading a 1-min chart, the alert triggers when the SMA (smooth line) of the RSI turns up (bullish) in the oversold zones and turns down (bearish) in the overbought zones. This largely fires as trends show weakness and/or divergences are forming in overbought or oversold territory, suggesting a reversal may be near. It acts as confirmation, rather than entering a trade before true divergences/weakness has formed. It also helps define an extremely clear and tight stop (local high/low) often providing good R:R (very often 2+) even in relatively choppy PA.
Indicador Pine Script®
por lotsofgoats
Market Matrix ViewThis technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs. 🟡 Multi-Timeframe Trends ➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A." ➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe: 15m: Fast EMA 42, Slow EMA 170 1h: Fast EMA 40, Slow EMA 100 4h: Fast EMA 36, Slow EMA 107 Daily: Fast EMA 20, Slow EMA 60 🟡 Smart Flow & RVOL ➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity"). ➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier." ➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode. 🟡 ADX & RSI This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral"). ➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing. ➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode. 🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively. 🟡 Volume Spikes ➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity. ➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike. 🟡 Divergences (Volume Divergence Detection) ➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals. ➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0). 🟡 Adaptive Stop-Loss (ATR) ➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier 🟡 Alerts for trend direction changes in the Info Panel: ➤ Triggers notifications when the trend shifts to Bullish (when +DI crosses above -DI) or Bearish (when +DI crosses below -DI), helping you stay informed about key market shifts. How to use: Set alerts in Trading View for “Trend Changed to Bullish” or “Trend Changed to Bearish” with “Once Per Bar Close” for reliable signals. 🟡 Settings (Inputs) ➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters: Show Info Panel: Enables/disables the information panel (default: enabled). Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled). Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency). Show Divergence: Enables/disables the display of divergence labels (default: enabled). Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity). Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing). RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20). RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14). Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency). Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency). Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume). 🟡 This indicator is created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
Indicador Pine Script®
por ToCoMi
BK AK-SILENCER (P8N)🧩 BK AK-SILENCER (P8N) CVD Bollinger Band Engine | Dynamic Flash | Structure Zones | Divergence Panel 🧠 Introduction This is the second half of the AK-SILENCER system: BK AK-SILENCER (P8N) — a standalone CVD panel that amplifies stealth detection with volatility-based bands, dynamic flash alerts, and smart structural analysis. This panel works on its own, but was engineered to pair perfectly with BK AK-SILENCER overlay. 🔎 What “P8N” Means P8N = Precision. 8 Dimensions. Noise-filtered. 8 represents balance, cycles, infinite feedback, and control — all concepts deeply tied to Gann, geometry, and institutional rhythm. This engine reads volume through volatility — not price. It detects shifts where real moves begin — quietly. ⚙️ Core Weapon Systems ✅ CVD Line + MA + Fill Logic See the cumulative volume delta with trend tracking and real-time color fills. ✅ Bollinger Bands Standard deviation bands built around the signal line — not price. Shows real overbought/oversold based on volume movement. ✅ Dynamic Flash Backgrounds When CVD pressure reaches extremes, the background flashes — silently warning of potential pivots or continuation. ✅ Divergence Detection Automatic structural divergence plotted between price and CVD — with configurable pivot logic. ✅ Structure Lines (optional) Visual anchors: session opens, POC, deviation bands, value zones, and structural support/resistance pivots. 🎯 How to Use It Flash + CVD breaches upper band = momentum continuation Flash + divergence = prepare for mean-reversion Divergence + POC/value area = sniper entry Combine with BK AK-SILENCER overlay bar colors = full market read 💡 Perfect For Momentum traders who wait for pressure confirmation Reversal traders looking for structure + volume misalignment Pattern and time traders syncing Gann, Elliott, and Fib setups Swing traders seeking multi-layered confirmation 🔧 Customize It. Share It. Grow It. No tool is perfect out of the box — it must fit your flow. 🛠️ Test your BB deviation values. Adjust dynamic flash settings. Tune pivot logic. 💬 Then share your favorite combos in the comments. What worked for you might unlock clarity for someone else. If this helped you — return the favor. Drop your blueprint. 🔗 Works Best With ➡️ BK AK-SILENCER Together, they detect what price alone cannot. One sees aggression. One sees intent. Overlay + Panel = Total Edge. 🙏 Pay It Forward This was built through the lessons of a mentor who gave selflessly — and the blessing of Gd who gave structure to the chaos. If this gave you insight: 🔹 Teach someone 🔹 Post your best settings 🔹 Share what you've learned 🔹 Help the next person trade with discipline We’re not here just to win. We’re here to evolve — and bring others with us. To my mentor — A.K. — this is yours. To Gd — the source of wisdom — this is for Your glory. — Silent. Steady. Strategic. 🎯 BK AK-SILENCER (P8N) — See what others miss. Gd bless your precision, purpose, and patience. 🙏
Indicador Pine Script®
por Ki11a_B
TASC 2025.07 Laguerre Filters█ OVERVIEW This script implements the Laguerre filter and oscillator described by John F. Ehlers in the article "A Tool For Trend Trading, Laguerre Filters" from the July 2025 edition of TASC's Traders' Tips . The new Laguerre filter utilizes the UltimateSmoother filter in place of an exponential moving average (EMA) in its calculation, offering improved responsiveness and reduced lag. █ CONCEPTS As Ehlers explains in his article, the Laguerre filter is a form of transversal filter . A transversal filter calculates an output signal using a tapped delay line . It creates multiple delayed versions of an input signal, applies weight to each delay, and then calculates their sum to generate the filtered result. The Laguerre filter's structure relies on Laguerre polynomials — solutions to a differential equation solved by Edmond Laguerre in the 1800s. When Ehlers analyzed the formula for these polynomials on discrete systems (e.g., financial time series), he found that the first term's expression corresponds to an EMA response, and all subsequent terms correspond to an all-pass response. In contrast to other filter types, an all-pass filter produces phase shift (i.e., delay) in an input signal's components without affecting its amplitude. Ehlers observed that these characteristics of Laguerre polynomials make them suitable for use in a transversal filter structure, and thus the Laguerre filter was born. However, he notes that EMAs are not great filters in general. As such, to improve on the Laguerre filter's design, Ehlers modified it by replacing the EMA term with his UltimateSmoother filter. The resulting Laguerre filter has significantly reduced lag, achieving a tighter response to market fluctuations while maintaining smoothness. Ehlers suggests that traders can analyze crossings between the UltimateSmoother and this Laguerre filter, or those between two Laguerre filters of different order, for helpful buy and sell signals. In addition to the Laguerre filter, Ehlers derived a smooth, low-lag oscillator based on the difference between the first and second terms in the modified filter structure, scaled by the root mean square (RMS). The resulting oscillator provides an alternative filtered representation of market data, which can help traders identify swing and mean-reversion signals. █ USAGE This indicator calculates both the Laguerre filter and the Laguerre oscillator described in Ehlers' article. It displays the Laguerre filter on the main chart pane and the oscillator in a separate pane. Users can control the behavior of the filter and oscillator with the inputs in the "Settings/Inputs" tab: The "Period" input defines the critical period of the UltimateSmoother used in the Laguerre filter and oscillator calculations. Its default value is 30. The "Gamma" input determines the weighting behavior of the Laguerre filter and oscillator. It accepts a positive value between 0 and 1. Use a lower value for quicker responsiveness to market changes, and a higher value for trends. The default value is 0.5. The "RMS length" input determines the length of the RMS calculation for oscillator normalization. The default value is 100 bars.
Indicador Pine Script®
por PineCodersTASC
3
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS) THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures. 1. Grothendieck-Teichmüller Theory: Deforming Market Structure The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces. Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts. 2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency. Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty. 3. Tropical Geometry: Simplifying Complexity The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication. Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly. 4. Motivic Cohomology & Non-Commutative Geometry The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces. Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements. 5. Perfectoid Spaces & Homotopy Type Theory The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics. Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis. The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains. 🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision. Grothendieck-Teichmüller Theory Inputs 🧬 Deformation Depth (Absolute Galois) : What It Is : Controls the depth of Galois group deformations analyzed in market structure. How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries. Optimization : Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D). Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min). Timeframes : Scalping (1-5min) : 3-6 for quick local shifts. Day Trading (15min-1H) : 8-12 for balanced analysis. Swing Trading (4H-1D) : 12-20 for deep structural trends. Sectors : Stocks : Use 8-12 for stable trends. Crypto : 3-8 for volatile, short-term moves. Forex : 12-15 for smooth, cyclical patterns. Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity. 🗼 Teichmüller Tower Height : What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection. How It Works : Builds modular levels to identify nested market patterns. Optimization : Higher Values (6-8) : Detects complex fractals, ideal for swing trading. Lower Values (2-4) : Focuses on primary patterns, faster for scalping. Timeframes : Scalping : 2-3 for speed. Day Trading : 4-5 for balanced patterns. Swing Trading : 5-8 for deep fractals. Sectors : Indices : 5-8 for robust, long-term patterns. Crypto : 2-4 for rapid shifts. Commodities : 4-6 for cyclical trends. Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware. 🔢 Galois Prime Base : What It Is : Sets the prime base for Galois field computations. How It Works : Defines the field extension characteristic for market analysis. Optimization : Prime Characteristics : 2 : Binary markets (up/down). 3 : Ternary states (bull/bear/neutral). 5 : Pentagonal symmetry (Elliott waves). 7 : Heptagonal cycles (weekly patterns). 11,13,17,19 : Higher-order patterns. Timeframes : Scalping/Day Trading : 2 or 3 for simplicity. Swing Trading : 5 or 7 for wave or cycle detection. Sectors : Forex : 5 for Elliott wave alignment. Stocks : 7 for weekly cycle consistency. Crypto : 3 for volatile state shifts. Pro Tip : Use 7 for most markets; 5 for Elliott wave traders. Topos Theory & Sheaf Cohomology Inputs 🏛️ Temporal Site Size : What It Is : Defines the number of time points in the topological site. How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness. Optimization : Higher Values (30-50) : Smoother cohomology, better for trends in swing trading. Lower Values (5-15) : Responsive, ideal for reversals in scalping. Timeframes : Scalping : 5-10 for quick responses. Day Trading : 15-25 for balanced analysis. Swing Trading : 25-50 for smooth trends. Sectors : Stocks : 25-35 for stable trends. Crypto : 5-15 for volatility. Forex : 20-30 for smooth cycles. Pro Tip : Match site size to your average holding period in bars for optimal coherence. 📐 Sheaf Cohomology Degree : What It Is : Sets the maximum degree of cohomology groups computed. How It Works : Higher degrees capture complex topological obstructions. Optimization : Degree Meanings : 1 : Simple obstructions (basic support/resistance). 2 : Cohomological pairs (double tops/bottoms). 3 : Triple intersections (complex patterns). 4-5 : Higher-order structures (rare events). Timeframes : Scalping/Day Trading : 1-2 for simplicity. Swing Trading : 3 for complex patterns. Sectors : Indices : 2-3 for robust patterns. Crypto : 1-2 for rapid shifts. Commodities : 3-4 for cyclical events. Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection. 🌐 Grothendieck Topology : What It Is : Chooses the Grothendieck topology for the site. How It Works : Affects how local data integrates into global patterns. Optimization : Topology Characteristics : Étale : Finest topology, captures local-global principles. Nisnevich : A1-invariant, good for trends. Zariski : Coarse but robust, filters noise. Fpqc : Faithfully flat, highly sensitive. Sectors : Stocks : Zariski for stability. Crypto : Étale for sensitivity. Forex : Nisnevich for smooth trends. Indices : Zariski for robustness. Timeframes : Scalping : Étale for precision. Swing Trading : Nisnevich or Zariski for reliability. Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets. Unified Field Configuration Inputs ⚛️ Field Coupling Constant : What It Is : Sets the interaction strength between geometric components. How It Works : Controls signal amplification in the unified field equation. Optimization : Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets. Lower Values (0.001-0.1) : Subtle signals for trending markets. Timeframes : Scalping : 0.5-0.8 for quick, strong signals. Swing Trading : 0.1-0.3 for trend confirmation. Sectors : Crypto : 0.5-1.0 for volatility. Stocks : 0.1-0.3 for stability. Forex : 0.3-0.5 for balance. Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets. 📐 Geometric Weighting Scheme : What It Is : Determines the framework for combining geometric components. How It Works : Adjusts emphasis on different mathematical structures. Optimization : Scheme Characteristics : Canonical : Equal weighting, balanced. Derived : Emphasizes higher-order structures. Motivic : Prioritizes arithmetic properties. Spectral : Focuses on frequency domain. Sectors : Stocks : Canonical for balance. Crypto : Spectral for volatility. Forex : Derived for structured moves. Indices : Motivic for arithmetic cycles. Timeframes : Day Trading : Canonical or Derived for flexibility. Swing Trading : Motivic for long-term cycles. Pro Tip : Start with Canonical; experiment with Spectral in volatile markets. Dashboard and Visual Configuration Inputs 📋 Show Enhanced Dashboard, 📏 Size, 📍 Position : What They Are : Control dashboard visibility, size, and placement. How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality . Optimization : Scalping : Small size, Bottom Right for minimal chart obstruction. Swing Trading : Large size, Top Right for detailed analysis. Sectors : Universal across markets; adjust size based on screen setup. Pro Tip : Use Large for analysis, Small for live trading. 📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow : What They Are : Toggle visual elements representing mathematical calculations. How They Work : Provide intuitive representations of market dynamics. Optimization : Timeframes : Scalping : Enable Morphism Flow and Spectral Flow for momentum. Swing Trading : Enable all for comprehensive analysis. Sectors : Crypto : Emphasize Morphism Flow and Future Projection for volatility. Stocks : Focus on Cohomology Bands for stable trends. Pro Tip : Disable non-essential visuals in fast markets to reduce clutter. 🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme : What They Are : Adjust visual clarity, complexity, and color. How They Work : Enhance interpretability of visual elements. Optimization : Transparency : 30-50 for balanced visibility; lower for analysis. Recursion Depth : 6-8 for balanced detail; lower for older hardware. Color Scheme : Purple/Blue : Analytical focus. Green/Orange : Trading momentum. Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading. ⏱️ Minimum Bars Between Signals : What It Is : Minimum number of bars required between consecutive signals. How It Works : Prevents signal clustering by enforcing a cooldown period. Optimization : Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading. Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping. Timeframes : Scalping : 0-2 bars for rapid signals. Day Trading : 3-5 bars for balance. Swing Trading : 5-10 bars for stability. Sectors : Crypto : 0-3 for volatility. Stocks : 5-10 for trend clarity. Forex : 3-7 for cyclical moves. Pro Tip : Increase in choppy markets to filter noise. Hardcoded Parameters Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence). Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets. 🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions. Motivic Cohomology Bands : What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance. Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals. How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups. Morphism Flow (Webbing) : What It Is : White particle streams visualizing market momentum. Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation. How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts. Future Projection Web (Fractal Grid) : What It Is : Fibonacci-period fractal projections of support/resistance. Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies. How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups. Holographic Mesh & Spectral Flow : What They Are : Visuals of harmonic interference and spectral energy. How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement. 📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL The Dashboard translates complex mathematics into actionable intelligence. Unified Field & Signals : FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations. RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves. SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups. Geometric Components : What They Are : Breakdown of seven mathematical engines. How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening. Signal Performance : What It Is : Tracks indicator signal performance. How to Use : Assesses real-time performance to build confidence and understand system behavior. 🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series. Why This Is Unlike Anything Else : Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools. Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field . Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice. Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding. The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos. " Where there is matter, there is geometry. " - Johannes Kepler — Dskyz , Trade with insight. Trade with anticipation.
Indicador Pine Script®
por DskyzInvestments
4
Adaptive RSI Oscillator📌 Adaptive RSI Oscillator This indicator transforms the classic RSI into a fully adaptive, self-optimizing oscillator — normalized between -1 and 1, dynamically smoothed, and enhanced with divergence detection. 🔧 Key Features Self-Optimizing RSI: Automatically selects the optimal RSI lookback length based on return stability (no hardcoded periods). Dynamic Smoothing: Adapts to market conditions using a fraction of the optimized length. Normalized Output : Converts traditional RSI to a consistent scale across all assets and timeframes. Divergence Detection: Compares RSI behavior vs. price percentile ranks and scales the signal accordingly. Gradient Visualization: Color-coded background and plot lines reflect the strength and direction of the signal with soft transitions. Neutral Zone Adaptation: Dynamically widens or narrows the zone of inaction based on volatility, reducing noise. 🎯 Use Cases Identify extreme momentum zones without relying on fixed 70/30 RSI levels Detect divergences early with adaptive filtering Highlight potential exhaustion or continuation ⚠️ Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult a licensed financial advisor before making investment decisions. Use at your own risk.
Indicador Pine Script®
por RWCS_LTD
RSI of RSI Deviation (RoRD)RSI of RSI Deviation (RoRD) - Advanced Momentum Acceleration Analysis What is RSI of RSI Deviation (RoRD)? RSI of RSI Deviation (RoRD) is a insightful momentum indicator that transcends traditional oscillator analysis by measuring the acceleration of momentum through sophisticated mathematical layering. By calculating RSI on RSI itself (RSI²) and applying advanced statistical deviation analysis with T3 smoothing, RoRD reveals hidden market dynamics that single-layer indicators miss entirely. This isn't just another RSI variant—it's a complete reimagining of how we measure and visualize momentum dynamics. Where traditional RSI shows momentum, RoRD shows momentum's rate of change . Where others show static overbought/oversold levels, RoRD reveals statistically significant deviations unique to each market's character. Theoretical Foundation - The Mathematics of Momentum Acceleration 1. RSI² (RSI of RSI) - The Core Innovation Traditional RSI measures price momentum. RoRD goes deeper: Primary RSI (RSI₁) : Standard RSI calculation on price Secondary RSI (RSI²) : RSI calculated on RSI₁ values This creates a "momentum of momentum" indicator that leads price action Mathematical Expression: RSI₁ = 100 - (100 / (1 + RS₁)) RSI² = 100 - (100 / (1 + RS₂)) Where RS₂ = Average Gain of RSI₁ / Average Loss of RSI₁ 2. T3 Smoothing - Lag-Free Response The T3 Moving Average, developed by Tim Tillson, provides: Superior smoothing with minimal lag Adaptive response through volume factor (vFactor) Noise reduction while preserving signal integrity T3 Formula: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3 Where e1...e6 are cascaded EMAs and c1...c4 are volume-factor-based coefficients 3. Statistical Z-Score Deviation RoRD employs dual-layer Z-score normalization : Initial Z-Score : (RSI² - SMA) / StDev Final Z-Score : Z-score of the Z-score for refined extremity detection This identifies statistically rare events relative to recent market behavior 4. Multi-Timeframe Confluence Compares current timeframe Z-score with higher timeframe (HTF) Provides directional confirmation across time horizons Filters false signals through timeframe alignment Why RoRD is Different & More Sophisticated Beyond Traditional Indicators: Acceleration vs. Velocity : While RSI measures momentum (velocity), RoRD measures momentum's rate of change (acceleration) Adaptive Thresholds : Z-score analysis adapts to market conditions rather than using fixed 70/30 levels Statistical Significance : Signals are based on mathematical rarity, not arbitrary levels Leading Indicator : RSI² often turns before price, providing earlier signals Reduced Whipsaws : T3 smoothing eliminates noise while maintaining responsiveness Unique Signal Generation: Quantum Orbs : Multi-layered visual signals for statistically extreme events Divergence Detection : Automated identification of price/momentum divergences Regime Backgrounds : Visual market state classification (Bullish/Bearish/Neutral) Particle Effects : Dynamic visualization of momentum energy Visual Design & Interpretation Guide Color Coding System: Yellow (#e1ff00) : Neutral/balanced momentum state Red (#ff0000) : Overbought/extreme bullish acceleration Green (#2fff00) : Oversold/extreme bearish acceleration Orange : Z-score visualization Blue : HTF Z-score comparison Main Visual Elements: RSI² Line with Glow Effect Multi-layer glow creates depth and emphasis Color dynamically shifts based on momentum state Line thickness indicates signal strength Quantum Signal Orbs Green Orbs Below : Statistically rare oversold conditions Red Orbs Above : Statistically rare overbought conditions Multiple layers indicate signal strength Only appear at Z-score extremes for high-conviction signals Divergence Markers Green Circles : Bullish divergence detected Red Circles : Bearish divergence detected Plotted at pivot points for precision Background Regimes Green Background : Bullish momentum regime Grey Background : Bearish momentum regime Blue Background : Neutral/transitioning regime Particle Effects Density indicates momentum energy Color matches current RSI² state Provides dynamic market "feel" Dashboard Metrics - Deep Dive RSI² ANALYSIS Section: RSI² Value (0-100) Current smoothed RSI of RSI reading >70 : Strong bullish acceleration <30 : Strong bearish acceleration ~50 : Neutral momentum state RSI¹ Value Traditional RSI for reference Compare with RSI² for acceleration/deceleration insights Z-Score Status 🔥 EXTREME HIGH : Z > threshold, statistically rare bullish ❄️ EXTREME LOW : Z < threshold, statistically rare bearish 📈 HIGH/📉 LOW : Elevated but not extreme ➡️ NEUTRAL : Normal statistical range MOMENTUM Section: Velocity Indicator ▲▲▲ : Strong positive acceleration ▼▼▼ : Strong negative acceleration Shows rate of change in RSI² Strength Bar ██████░░░░ : Visual power gauge Filled bars indicate momentum strength Based on deviation from center line SIGNALS Section: Divergence Status 🟢 BULLISH DIV : Price making lows, RSI² making highs 🔴 BEARISH DIV : Price making highs, RSI² making lows ⚪ NO DIVERGENCE : No divergence detected HTF Comparison 🔥 HTF EXTREME : Higher timeframe confirms extremity 📊 HTF NORMAL : Higher timeframe is neutral Critical for multi-timeframe confirmation Trading Application & Strategy Signal Hierarchy (Highest to Lowest Priority): Quantum Orb + HTF Alignment + Divergence Highest conviction reversal signal Z-score extreme + timeframe confluence + divergence Quantum Orb + HTF Alignment Strong reversal signal Wait for price confirmation Divergence + Regime Change Medium-term reversal signal Monitor for orb confirmation Threshold Crosses Traditional overbought/oversold Use as alert, not entry Entry Strategies: For Reversals: Wait for Quantum Orb signal Confirm with HTF Z-score direction Enter on price structure break Stop beyond recent extreme For Continuations: Trade with regime background color Use RSI² pullbacks to center line Avoid signals against HTF trend For Scalping: Focus on Z-score extremes Quick entries on orb signals Exit at center line cross Risk Management: Reduce position size when signals conflict with HTF Avoid trades during regime transitions (blue background) Tighten stops after divergence completion Scale out at statistical mean reversion Development & Uniqueness RoRD represents months of research into momentum dynamics and statistical analysis. Unlike indicators that simply combine existing tools, RoRD introduces several genuine innovations : True RSI² Implementation : Not a smoothed RSI, but actual RSI calculated on RSI values Dual Z-Score Normalization : Unique approach to finding statistical extremes T3 Integration : First RSI² implementation with T3 smoothing for optimal lag reduction Quantum Orb Visualization : Revolutionary signal display method Dynamic Regime Detection : Automatic market state classification Statistical Adaptability : Thresholds adapt to market volatility This indicator was built from first principles, with each component carefully selected for its mathematical properties and practical trading utility. The result is a professional-grade tool that provides insights unavailable through traditional momentum analysis. Best Practices & Tips Start with default settings - they're optimized for most markets Always check HTF alignment before taking signals Use divergences as early warning , orbs as confirmation Respect regime backgrounds - trade with them, not against Combine with price action - RoRD shows when, price shows where Adjust Z-score thresholds based on market volatility Monitor dashboard metrics for complete market context Conclusion RoRD isn't just another indicator—it's a complete momentum analysis system that reveals market dynamics invisible to traditional tools. By combining momentum acceleration, statistical analysis, and multi-timeframe confluence with intuitive visualization, RoRD provides traders with a sophisticated edge in any market condition. Whether you're scalping rapid reversals or positioning for major trend changes, RoRD's unique approach to momentum analysis will transform how you see and trade market dynamics. See momentum's future. Trade with statistical edge. Trade with insight. Trade with anticipation. — Dskyz, for DAFE Trading Systems
Indicador Pine Script®
por DskyzInvestments
4
[Smith] VWAP Deviation + VWAP Deviation + Short Description: Advanced VWAP indicator with deviation bands, smart signal filtering, and session-based performance tracking. Features log-space scaling, RSI confirmation, volume filters, and market regime detection. Full Description: The VWAP Deviation + is a comprehensive trading indicator that combines Volume Weighted Average Price (VWAP) analysis with advanced signal filtering to identify high-probability trade opportunities. This indicator goes beyond basic VWAP by incorporating multiple confirmation layers and intelligent market analysis. 🎯 Key Features Core VWAP Analysis: - Custom volume-weighted mean calculation with deviation bands (2σ and 3σ) - Optional log-space scaling for proportional price movements - Real-time VWAP line with customizable visibility Smart Signal Detection: - RSI confirmation for all trade signals - Volume filter requiring above-average trading activity - Market regime detection (trending vs ranging markets) - Optional RSI divergence analysis Advanced Filtering: - Multi-condition signal validation - Session-based performance tracking (Asian, London, NY) - Real-time win rate calculation - Strong vs regular signal classification Visual Features: - Clean, professional interface with customizable colors - Optional signal shapes and annotations - Performance statistics table - Filled deviation bands for easy visualization 📊 How It Works The indicator identifies trade opportunities when: 1. Price touches VWAP deviation bands (2σ or 3σ) 2. RSI confirms oversold/overbought conditions 3. Volume exceeds the specified threshold 4. Market regime conditions are favorable Signal Types: - LONG : Price at lower bands + RSI oversold + volume confirmation - SHORT : Price at upper bands + RSI overbought + volume confirmation - STRONG : Same conditions but at 3σ bands for higher conviction trades ⚙️ Customization Options Core Settings: - VWAP length and source selection - Adjustable deviation multipliers - Log-space scaling toggle Signal Filters: - RSI length and threshold levels - Volume filter with customizable multiplier - Market type filtering options Advanced Features: - Session statistics tracking - RSI divergence detection - Market regime analysis Visual Controls: - Show/hide individual components - Custom color schemes - Signal display toggles 🔔 Alert System Built-in alerts for: - Long and short trade opportunities - Strong signal confirmations - RSI divergence signals 💡 Best Practices - Use higher timeframes (15m+) for more reliable signals - Combine with additional confirmation indicators - Pay attention to session statistics for timing optimization - Monitor market regime indicators for context This indicator is suitable for day traders, swing traders, and anyone looking to improve their VWAP-based trading strategies with advanced filtering and market analysis.
Indicador Pine Script®
por SmithTradesBitcoin
4