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FTPM - Institutional Trend Pressure Suite @darshaksscThis indicator provides an informational view of market trend pressure using fractal-based momentum events, smoothed pressure calculations, higher timeframe confirmation, and divergence analysis. It does not produce buy or sell signals. Instead, it presents market context to help traders interpret trend conditions in a structured and data-driven way. The indicator includes the following components: 1). Non-repainting Trend Pressure Engine The pressure line is derived from confirmed fractal events, body-to-range ratios, displacement strength, and a controlled decay factor. The value is normalized to a 0 to 100 scale. A rising pressure value suggests increasing trend strength, while a declining value indicates weakening strength. This is informational only. 2). Pressure Shifts The tool highlights transitions where pressure crosses above or below key thresholds. These labels do not represent entries or exits, but simply indicate contextual changes in momentum. 3). Higher Timeframe Pressure Confirmation Users can compare current timeframe pressure to a selected higher timeframe. When both pressures align in similar regions, it may indicate agreement in broader market structure. This feature is informational only and does not generate trading signals. 4). Divergence Detection Identifies confirmed bullish or bearish divergences between price pivots and pressure pivots. Divergences are simply analytical tools and should not be interpreted as actionable trading signals. 5). Institutional Dashboard A multi-line dashboard summarizes current pressure, regime classification, higher timeframe regime, pressure direction, divergence status, and alignment conditions. The dashboard is informational only. No part of the dashboard should be interpreted as a trade instruction. 6). Dashboard Size Selector Users may switch between Full, Medium, or Thin dashboard layouts to match their screen preferences. This affects only display, not indicator logic. Important Notes This indicator does not forecast future price movement. It does not generate buy, sell, long, or short signals. It does not guarantee profitable outcomes. It is intended purely for visual analysis and market context. All information is derived from confirmed historical data. No part of this script is designed to automate trading decisions. This tool is suitable for traders who want a clear, non-repainting visualization of pressure conditions and structural behavior without violating TradingView House Rules. ====================================================================== HOW TO USE The indicator helps traders observe whether pressure is increasing or decreasing, whether higher timeframe conditions agree with the current chart, and whether divergences are present. All outputs are informational and should be combined with the user's preferred strategy or manual analysis. The indicator is not intended to signal trades or provide recommendations. ====================================================================== DISCLAIMERS This indicator is for educational and informational purposes only. It does not constitute financial advice. It does not provide buy, sell, long, or short signals. It does not predict future price movement. Past performance does not guarantee future results. ======================================================================
Indicador Pine Script®
por darshakssc
RSI Median DeviationRSI Median Deviation Thank you to @QuantumResearch for part of the code and inspiration! Introduction: With my first published indicator i wanted to start simple, so i created a RSI that has no static OB/OS signals and can act as a Momentum-Strength-Gauge. Inspiration came from the Median Deviation Bands indicator by QuantumResearch! TL;DR: Traditional RSI says "70 is overbought" like it's a universal law. Guess what: it's not . This indicator figures out where overbought and oversold actually are for your specific chart and timeframe, using real statistics. What Makes it Different Most RSI indicators slap horizontal lines at 70/30 and call it a day. Problem is, that works great... until it doesn't. In a strong trend, RSI can camp out above 70 for weeks. In choppy markets, it'll ping-pong across those levels. RSI Median Deviation takes a smarter approach: 1. Adaptive zones that move with your data 2. Median + standard deviation bands (the 50th percentile ±2σ) that show where RSI is statistically extreme 3. Rare signals that actually mean something 4. Optional smoothed bands that adapt to current market conditions in real-time Think of it like this: instead of asking "is RSI above 70?", we're asking "is RSI acting weird compared to its recent behavior?" Key Features - Statistical bands built from the RSI's actual median and standard deviation - Multiple MA options (TEMA, WMA, HMA, ALMA, etc.) for smoothing. - Dual detection modes: Pure stats OR MA bands - Background highlighting when something genuinely extreme happens - Diamond markers for ultra-rare RSI readings (<25 or >85) - 9 color themes - Works on all timeframes How to Actually Use This Thing 1. Trend Bias RSI line turns green above 60 (bullish bias), red below 47 (bearish bias). 2. Mean-Reversion Plays Dark green background = RSI dropped below the lower 2σ band → statistically oversold Dark magenta background = RSI spiked above the upper 2σ band → statistically overbought 3. Momentum Strength Gauge Watch the distance between the smoothed RSI and the median line: Wide gap = strong trend in play Converging = momentum dying, consolidation likely 4. Extra Confirmation Those diamond shapes at the top/bottom? That's RSI hitting <25 or >85 – genuinely extreme territory. Recommended Settings: RSI Length: 10 Median Length: 28 SD Length: 27 RSI MA Type: TEMA RSI MA Length: 27 Band MA Type: WMA Band Length: 37 The standard settings are optimized to have maximum use on all assets. Works on everything, especially on daily or 4h charts for swing/position trading. Last words: RSI Median Deviation is the version that only gives signals if the ROC of your data is on the extreme side. It'll give you fewer, better signals based on what's actually happening in the markets. Perfect for traders who'd rather have quality over quantity.
Indicador Pine Script®
por PaulWegelin
BTC1W&2W StochRSI Cross up Cross downUpward Signals (Bottom of the Indicator): Symbol Color Size Meaning ▲ (triangle up) Yellow tiny (1W) / small (2W) Momentum Up: K slope up & K < 40 (early bullish) ▲ (triangle up) Orange tiny (1W) / small (2W) Near Up: K within near distance & slope up (amber) ▲ (triangle up) Green tiny (1W) / small (2W) Cross Up: Confirmed bullish crossover ♦ (diamond) Blue large BOTH 1W & 2W bullish cross alignment (strong buy) Downward Signals (Top of the Indicator): Symbol Color Size Meaning ▼ (triangle down) Yellow tiny (1W) / small (2W) Momentum Down: K slope down & K > 60 (early bearish) ▼ (triangle down) Orange tiny (1W) / small (2W) Near Down: K within near distance & slope down (amber) ▼ (triangle down) Red tiny (1W) / small (2W) Cross Down: Confirmed bearish crossover ♦ (diamond) Red large BOTH 1W & 2W bearish cross alignment (strong sell) Background Colors: Green background — bullish states detected (either 1W or 2W bullish conditions) Red background — bearish states detected (either 1W or 2W bearish conditions) When you get: Small green triangle (2W bullish cross) Blue diamond (both 1W & 2W aligned)
Indicador Pine Script®
por only6greens
Ultimate RSI [captainua]Ultimate RSI Overview This indicator combines multiple RSI calculations with volume analysis, divergence detection, and trend filtering to provide a comprehensive RSI-based trading system. The script calculates RSI using three different periods (6, 14, 24) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes. The script includes optimized configuration presets for instant setup: Scalping, Day Trading, Swing Trading, and Position Trading. Simply select a preset to instantly configure all settings for your trading style, or use Custom mode for full manual control. All settings include automatic input validation to prevent configuration errors and ensure optimal performance. Configuration Presets The script includes preset configurations optimized for different trading styles, allowing you to instantly configure the indicator for your preferred trading approach. Simply select a preset from the "Configuration Preset" dropdown menu: - Scalping: Optimized for fast-paced trading with shorter RSI periods (4, 7, 9) and minimal smoothing. Noise reduction is automatically disabled, and momentum confirmation is disabled to allow faster signal generation. Designed for quick entries and exits in volatile markets. - Day Trading: Balanced configuration for intraday trading with moderate RSI periods (6, 9, 14) and light smoothing. Momentum confirmation is enabled for better signal quality. Ideal for day trading strategies requiring timely but accurate signals. - Swing Trading: Configured for medium-term positions with standard RSI periods (14, 14, 21) and moderate smoothing. Provides smoother signals suitable for swing trading timeframes. All noise reduction features remain active. - Position Trading: Optimized for longer-term trades with extended RSI periods (24, 21, 28) and heavier smoothing. Filters are configured for highest-quality signals. Best for position traders holding trades over multiple days or weeks. - Custom: Full manual control over all settings. All input parameters are available for complete customization. This is the default mode and maintains full backward compatibility with previous versions. When a preset is selected, it automatically adjusts RSI periods, smoothing lengths, and filter settings to match the trading style. The preset configurations ensure optimal settings are applied instantly, eliminating the need for manual configuration. All settings can still be manually overridden if needed, providing flexibility while maintaining ease of use. Input Validation and Error Prevention The script includes comprehensive input validation to prevent configuration errors: - Cross-Input Validation: Smoothing lengths are automatically validated to ensure they are always less than their corresponding RSI period length. If you set a smoothing length greater than or equal to the RSI length, the script automatically adjusts it to (RSI Length - 1). This prevents logical errors and ensures valid configurations. - Input Range Validation: All numeric inputs have minimum and maximum value constraints enforced by TradingView's input system, preventing invalid parameter values. - Smart Defaults: Preset configurations use validated default values that are tested and optimized for each trading style. When switching between presets, all related settings are automatically updated to maintain consistency. Core Calculations Multi-Period RSI: The script calculates RSI using the standard Wilder's RSI formula: RSI = 100 - (100 / (1 + RS)), where RS = Average Gain / Average Loss over the specified period. Three separate RSI calculations run simultaneously: - RSI(6): Uses 6-period lookback for high sensitivity to recent price changes, useful for scalping and early signal detection - RSI(14): Standard 14-period RSI for balanced analysis, the most commonly used RSI period - RSI(24): Longer 24-period RSI for trend confirmation, provides smoother signals with less noise Each RSI can be smoothed using EMA, SMA, RMA (Wilder's smoothing), WMA, or Zero-Lag smoothing. Zero-Lag smoothing uses the formula: ZL-RSI = RSI + (RSI - RSI ) to reduce lag while maintaining signal quality. You can apply individual smoothing lengths to each RSI period, or use global smoothing where all three RSIs share the same smoothing length. Dynamic Overbought/Oversold Thresholds: Static thresholds (default 70/30) are adjusted based on market volatility using ATR. The formula: Dynamic OB = Base OB + (ATR × Volatility Multiplier × Base Percentage / 100), Dynamic OS = Base OS - (ATR × Volatility Multiplier × Base Percentage / 100). This adapts to volatile markets where traditional 70/30 levels may be too restrictive. During high volatility, the dynamic thresholds widen, and during low volatility, they narrow. The thresholds are clamped between 0-100 to remain within RSI bounds. The ATR is cached for performance optimization, updating on confirmed bars and real-time bars. Adaptive RSI Calculation: An adaptive RSI adjusts the standard RSI(14) based on current volatility relative to average volatility. The calculation: Adaptive Factor = (Current ATR / SMA of ATR over 20 periods) × Volatility Multiplier. If SMA of ATR is zero (edge case), the adaptive factor defaults to 0. The adaptive RSI = Base RSI × (1 + Adaptive Factor), clamped to 0-100. This makes the indicator more responsive during high volatility periods when traditional RSI may lag. The adaptive RSI is used for signal generation (buy/sell signals) but is not plotted on the chart. Overbought/Oversold Fill Zones: The script provides visual fill zones between the RSI line and the threshold lines when RSI is in overbought or oversold territory. The fill logic uses inclusive conditions: fills are shown when RSI is currently in the zone OR was in the zone on the previous bar. This ensures complete coverage of entry and exit boundaries. A minimum gap of 0.1 RSI points is maintained between the RSI plot and threshold line to ensure reliable polygon rendering in TradingView. The fill uses invisible plots at the threshold levels and the RSI value, with the fill color applied between them. You can select which RSI (6, 14, or 24) to use for the fill zones. Divergence Detection Regular Divergence: Bullish divergence: Price makes a lower low (current low < lowest low from previous lookback period) while RSI makes a higher low (current RSI > lowest RSI from previous lookback period). Bearish divergence: Price makes a higher high (current high > highest high from previous lookback period) while RSI makes a lower high (current RSI < highest RSI from previous lookback period). The script compares current price/RSI values to the lowest/highest values from the previous lookback period using ta.lowest() and ta.highest() functions with index to reference the previous period's extreme. Pivot-Based Divergence: An enhanced divergence detection method that uses actual pivot points instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and RSI. The pivot-based method uses a tolerance-based approach with configurable constants: 1% tolerance for price comparisons (priceTolerancePercent = 0.01) and 1.0 RSI point absolute tolerance for RSI comparisons (pivotTolerance = 1.0). Minimum divergence threshold is 1.0 RSI point (minDivergenceThreshold = 1.0). It looks for two recent pivot points and compares them: for bullish divergence, price makes a lower low (at least 1% lower) while RSI makes a higher low (at least 1.0 point higher). This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period. When enabled, pivot-based divergence replaces the traditional method for more accurate signal generation. Strong Divergence: Regular divergence is confirmed by an engulfing candle pattern. Bullish engulfing requires: (1) Previous candle is bearish (close < open ), (2) Current candle is bullish (close > open), (3) Current close > previous open, (4) Current open < previous close. Bearish engulfing is the inverse: previous bullish, current bearish, current close < previous open, current open > previous close. Strong divergence signals are marked with visual indicators (🐂 for bullish, 🐻 for bearish) and have separate alert conditions. Hidden Divergence: Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low (current low > lowest low from previous period) but RSI makes a lower low (current RSI < lowest RSI from previous period). Bearish hidden divergence: Price makes a lower high (current high < highest high from previous period) but RSI makes a higher high (current RSI > highest RSI from previous period). These patterns indicate the trend is likely to continue in the current direction. Volume Confirmation System Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 0.1 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired. Volume Climax is detected when volume exceeds: Volume SMA + (Volume StdDev × Multiplier). This indicates potential capitulation moments where extreme volume accompanies price movements. Volume Dry-Up is detected when volume falls below: Volume SMA - (Volume StdDev × Multiplier), indicating low participation periods that may produce unreliable signals. The volume SMA is cached for performance, updating on confirmed and real-time bars. Multi-RSI Synergy The script generates signals when multiple RSI periods align in overbought or oversold zones. This creates a confirmation system that reduces false signals. In "ALL" mode, all three RSIs (6, 14, 24) must be simultaneously above the overbought threshold OR all three must be below the oversold threshold. In "2-of-3" mode, any two of the three RSIs must align in the same direction. The script counts how many RSIs are in each zone: twoOfThreeOB = ((rsi6OB ? 1 : 0) + (rsi14OB ? 1 : 0) + (rsi24OB ? 1 : 0)) >= 2. Synergy signals require: (1) Multi-RSI alignment (ALL or 2-of-3), (2) Volume confirmation, (3) Reset condition satisfied (enough bars since last synergy signal), (4) Additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance). Separate reset conditions track buy and sell signals independently. The reset condition uses ta.barssince() to count bars since the last trigger, returning true if the condition never occurred (allowing first signal) or if enough bars have passed. Regression Forecasting The script uses historical RSI values to forecast future RSI direction using four methods. The forecast horizon is configurable (1-50 bars ahead). Historical data is collected into an array, and regression coefficients are calculated based on the selected method. Linear Regression: Calculates the least-squares fit line (y = mx + b) through the last N RSI values. The calculation: meanX = sumX / horizon, meanY = sumY / horizon, denominator = sumX² - horizon × meanX², m = (sumXY - horizon × meanX × meanY) / denominator, b = meanY - m × meanX. The forecast projects this line forward: forecast = b + m × i for i = 1 to horizon. Polynomial Regression: Fits a quadratic curve (y = ax² + bx + c) to capture non-linear trends. The system of equations is solved using Cramer's rule with a 3×3 determinant. If the determinant is too small (< 0.0001), the system falls back to linear regression. Coefficients are calculated by solving: n×c + sumX×b + sumX²×a = sumY, sumX×c + sumX²×b + sumX³×a = sumXY, sumX²×c + sumX³×b + sumX⁴×a = sumX²Y. Note: Due to the O(n³) computational complexity of polynomial regression, the forecast horizon is automatically limited to a maximum of 20 bars when using polynomial regression to maintain optimal performance. If you set a horizon greater than 20 bars with polynomial regression, it will be automatically capped at 20 bars. Exponential Smoothing: Applies exponential smoothing with adaptive alpha = 2/(horizon+1). The smoothing iterates from oldest to newest value: smoothed = alpha × series + (1 - alpha) × smoothed. Trend is calculated by comparing current smoothed value to an earlier smoothed value (at 60% of horizon): trend = (smoothed - earlierSmoothed) / (horizon - earlierIdx). Forecast: forecast = base + trend × i. Moving Average: Uses the difference between short MA (horizon/2) and long MA (horizon) to estimate trend direction. Trend = (maShort - maLong) / (longLen - shortLen). Forecast: forecast = maShort + trend × i. Confidence bands are calculated using RMSE (Root Mean Squared Error) of historical forecast accuracy. The error calculation compares historical values with forecast values: RMSE = sqrt(sumSquaredError / count). If insufficient data exists, it falls back to calculating standard deviation of recent RSI values. Confidence bands = forecast ± (RMSE × confidenceLevel). All forecast values and confidence bands are clamped to 0-100 to remain within RSI bounds. The regression functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, division-by-zero protection, and bounds checking for all array access operations to prevent runtime errors. Strong Top/Bottom Detection Strong buy signals require three conditions: (1) RSI is at its lowest point within the bottom period: rsiVal <= ta.lowest(rsiVal, bottomPeriod), (2) RSI is below the oversold threshold minus a buffer: rsiVal < (oversoldThreshold - rsiTopBottomBuffer), where rsiTopBottomBuffer = 2.0 RSI points, (3) The absolute difference between current RSI and the lowest RSI exceeds the threshold value: abs(rsiVal - ta.lowest(rsiVal, bottomPeriod)) > threshold. This indicates a bounce from extreme levels with sufficient distance from the absolute low. Strong sell signals use the inverse logic: RSI at highest point, above overbought threshold + rsiTopBottomBuffer (2.0 RSI points), and difference from highest exceeds threshold. Both signals also require: volume confirmation, reset condition satisfied (separate reset for buy vs sell), and all additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance). The reset condition uses separate logic for buy and sell: resetCondBuy checks bars since isRSIAtBottom, resetCondSell checks bars since isRSIAtTop. This ensures buy signals reset based on bottom conditions and sell signals reset based on top conditions, preventing incorrect signal blocking. Filtering System RSI(50) Filter: Only allows buy signals when RSI(14) > 50 (bullish momentum) and sell signals when RSI(14) < 50 (bearish momentum). This filter ensures you're buying in uptrends and selling in downtrends from a momentum perspective. The filter is optional and can be disabled. Recommended to enable for noise reduction. Trend Filter: Uses a long-term EMA (default 200) to determine trend direction. Buy signals require price above EMA, sell signals require price below EMA. The EMA slope is calculated as: emaSlope = ema - ema . Optional EMA slope filter additionally requires the EMA to be rising (slope > 0) for buy signals or falling (slope < 0) for sell signals. This provides stronger trend confirmation by requiring both price position and EMA direction. ADX Filter: Uses the Directional Movement Index (calculated via ta.dmi()) to measure trend strength. Signals only fire when ADX exceeds the threshold (default 20), indicating a strong trend rather than choppy markets. The ADX calculation uses separate length and smoothing parameters. This filter helps avoid signals during sideways/consolidation periods. Volume Dry-Up Avoidance: Prevents signals during periods of extremely low volume relative to average. If volume dry-up is detected and the filter is enabled, signals are blocked. This helps avoid unreliable signals that occur during low participation periods. RSI Momentum Confirmation: Requires RSI to be accelerating in the signal direction before confirming signals. For buy signals, RSI must be consistently rising (recovering from oversold) over the lookback period. For sell signals, RSI must be consistently falling (declining from overbought) over the lookback period. The momentum check verifies that all consecutive changes are in the correct direction AND the cumulative change is significant. This filter ensures signals only fire when RSI momentum aligns with the signal direction, reducing false signals from weak momentum. Multi-Timeframe Confirmation: Requires higher timeframe RSI to align with the signal direction. For buy signals, current RSI must be below the higher timeframe RSI by at least the confirmation threshold. For sell signals, current RSI must be above the higher timeframe RSI by at least the confirmation threshold. This ensures signals align with the larger trend context, reducing counter-trend trades. The higher timeframe RSI is fetched using request.security() from the selected timeframe. All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire. RSI Centerline and Period Crossovers RSI(50) Centerline Crossovers: Detects when the selected RSI source crosses above or below the 50 centerline. Bullish crossover: ta.crossover(rsiSource, 50), bearish crossover: ta.crossunder(rsiSource, 50). You can select which RSI (6, 14, or 24) to use for these crossovers. These signals indicate momentum shifts from bearish to bullish (above 50) or bullish to bearish (below 50). RSI Period Crossovers: Detects when different RSI periods cross each other. Available pairs: RSI(6) × RSI(14), RSI(14) × RSI(24), or RSI(6) × RSI(24). Bullish crossover: fast RSI crosses above slow RSI (ta.crossover(rsiFast, rsiSlow)), indicating momentum acceleration. Bearish crossover: fast RSI crosses below slow RSI (ta.crossunder(rsiFast, rsiSlow)), indicating momentum deceleration. These crossovers can signal shifts in momentum before price moves. StochRSI Calculation Stochastic RSI applies the Stochastic oscillator formula to RSI values instead of price. The calculation: %K = ((RSI - Lowest RSI) / (Highest RSI - Lowest RSI)) × 100, where the lookback is the StochRSI length. If the range is zero, %K defaults to 50.0. %K is then smoothed using SMA with the %K smoothing length. %D is calculated as SMA of smoothed %K with the %D smoothing length. All values are clamped to 0-100. You can select which RSI (6, 14, or 24) to use as the source for StochRSI calculation. RSI Bollinger Bands Bollinger Bands are applied to RSI(14) instead of price. The calculation: Basis = SMA(RSI(14), BB Period), StdDev = stdev(RSI(14), BB Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around RSI that adapt to RSI volatility. When RSI touches or exceeds the bands, it indicates extreme conditions relative to recent RSI behavior. Noise Reduction System The script includes a comprehensive noise reduction system to filter false signals and improve accuracy. When enabled, signals must pass multiple quality checks: Signal Strength Requirement: RSI must be at least X points away from the centerline (50). For buy signals, RSI must be at least X points below 50. For sell signals, RSI must be at least X points above 50. This ensures signals only trigger when RSI is significantly in oversold/overbought territory, not just near neutral. Extreme Zone Requirement: RSI must be deep in the OB/OS zone. For buy signals, RSI must be at least X points below the oversold threshold. For sell signals, RSI must be at least X points above the overbought threshold. This ensures signals only fire in extreme conditions where reversals are more likely. Consecutive Bar Confirmation: The signal condition must persist for N consecutive bars before triggering. This reduces false signals from single-bar spikes or noise. The confirmation checks that the signal condition was true for all bars in the lookback period. Zone Persistence (Optional): Requires RSI to remain in the OB/OS zone for N consecutive bars, not just touch it. This ensures RSI is truly in an extreme state rather than just briefly touching the threshold. When enabled, this provides stricter filtering for higher-quality signals. RSI Slope Confirmation (Optional): Requires RSI to be moving in the expected signal direction. For buy signals, RSI should be rising (recovering from oversold). For sell signals, RSI should be falling (declining from overbought). This ensures momentum is aligned with the signal direction. The slope is calculated by comparing current RSI to RSI N bars ago. All noise reduction filters can be enabled/disabled independently, allowing you to customize the balance between signal frequency and accuracy. The default settings provide a good balance, but you can adjust them based on your trading style and market conditions. Alert System The script includes separate alert conditions for each signal type: buy/sell (adaptive RSI crossovers), divergence (regular, strong, hidden), crossovers (RSI50 centerline, RSI period crossovers), synergy signals, and trend breaks. Each alert type has its own alertcondition() declaration with a unique title and message. An optional cooldown system prevents alert spam by requiring a minimum number of bars between alerts of the same type. The cooldown check: canAlert = na(lastAlertBar) OR (bar_index - lastAlertBar >= cooldownBars). If the last alert bar is na (first alert), it always allows the alert. Each alert type maintains its own lastAlertBar variable, so cooldowns are independent per signal type. The default cooldown is 10 bars, which is recommended for noise reduction. Higher Timeframe RSI The script can display RSI from a higher timeframe using request.security(). This allows you to see the RSI context from a larger timeframe (e.g., daily RSI on an hourly chart). The higher timeframe RSI uses RSI(14) calculation from the selected timeframe. This provides context for the current timeframe's RSI position relative to the larger trend. RSI Pivot Trendlines The script can draw trendlines connecting pivot highs and lows on RSI(6). This feature helps visualize RSI trends and identify potential trend breaks. Pivot Detection: Pivots are detected using a configurable period. The script can require pivots to have minimum strength (RSI points difference from surrounding bars) to filter out weak pivots. Lower minPivotStrength values detect more pivots (more trendlines), while higher values detect only stronger pivots (fewer but more significant trendlines). Pivot confirmation is optional: when enabled, the script waits N bars to confirm the pivot remains the extreme, reducing repainting. Pivot confirmation functions (f_confirmPivotLow and f_confirmPivotHigh) are always called on every bar for consistency, as recommended by TradingView. When pivot bars are not available (na), safe default values are used, and the results are then used conditionally based on confirmation settings. This ensures consistent calculations and prevents calculation inconsistencies. Trendline Drawing: Uptrend lines connect confirmed pivot lows (green), and downtrend lines connect confirmed pivot highs (red). By default, only the most recent trendline is shown (old trendlines are deleted when new pivots are confirmed). This keeps the chart clean and uncluttered. If "Keep Historical Trendlines" is enabled, the script preserves up to N historical trendlines (configurable via "Max Trendlines to Keep", default 5). When historical trendlines are enabled, old trendlines are saved to arrays instead of being deleted, allowing you to see multiple trendlines simultaneously for better trend analysis. The arrays are automatically limited to prevent memory accumulation. Trend Break Detection: Signals are generated when RSI breaks above or below trendlines. Uptrend breaks (RSI crosses below uptrend line) generate buy signals. Downtrend breaks (RSI crosses above downtrend line) generate sell signals. Optional trend break confirmation requires the break to persist for N bars and optionally include volume confirmation. Trendline angle filtering can exclude flat/weak trendlines from generating signals (minTrendlineAngle > 0 filters out weak/flat trendlines). How Components Work Together The combination of multiple RSI periods provides confirmation across different timeframes, reducing false signals. RSI(6) catches early moves, RSI(14) provides balanced signals, and RSI(24) confirms longer-term trends. When all three align (synergy), it indicates strong consensus across timeframes. Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Volume climax detection identifies potential reversal points, while volume dry-up avoidance prevents signals during unreliable low-volume periods. Trend filters align signals with the overall market direction. The EMA filter ensures you're trading with the trend, and the EMA slope filter adds an additional layer by requiring the trend to be strengthening (rising EMA for buys, falling EMA for sells). ADX filter ensures signals only fire during strong trends, avoiding choppy/consolidation periods. RSI(50) filter ensures momentum alignment with the trade direction. Momentum confirmation requires RSI to be accelerating in the signal direction, ensuring signals only fire when momentum is aligned. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades. Divergence detection identifies potential reversals before they occur, providing early warning signals. Pivot-based divergence provides more accurate detection by using actual pivot points. Hidden divergence identifies continuation patterns, useful for trend-following strategies. The noise reduction system combines multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to significantly reduce false signals. These filters work together to ensure only high-quality signals are generated. The synergy system requires alignment across all RSI periods for highest-quality signals, significantly reducing false positives. Regression forecasting provides forward-looking context, helping anticipate potential RSI direction changes. Pivot trendlines provide visual trend analysis and can generate signals when RSI breaks trendlines, indicating potential reversals or continuations. Reset conditions prevent signal spam by requiring a minimum number of bars between signals. Separate reset conditions for buy and sell signals ensure proper signal management. Usage Instructions Configuration Presets (Recommended): The script includes optimized preset configurations for instant setup. Simply select your trading style from the "Configuration Preset" dropdown: - Scalping Preset: RSI(4, 7, 9) with minimal smoothing. Noise reduction disabled, momentum confirmation disabled for fastest signals. - Day Trading Preset: RSI(6, 9, 14) with light smoothing. Momentum confirmation enabled for better signal quality. - Swing Trading Preset: RSI(14, 14, 21) with moderate smoothing. Balanced configuration for medium-term trades. - Position Trading Preset: RSI(24, 21, 28) with heavier smoothing. Optimized for longer-term positions with all filters active. - Custom Mode: Full manual control over all settings. Default behavior matches previous script versions. Presets automatically configure RSI periods, smoothing lengths, and filter settings. You can still manually adjust any setting after selecting a preset if needed. Getting Started: The easiest way to get started is to select a configuration preset matching your trading style (Scalping, Day Trading, Swing Trading, or Position Trading) from the "Configuration Preset" dropdown. This instantly configures all settings for optimal performance. Alternatively, use "Custom" mode for full manual control. The default configuration (Custom mode) shows RSI(6), RSI(14), and RSI(24) with their default smoothing. Overbought/oversold fill zones are enabled by default. Customizing RSI Periods: Adjust the RSI lengths (6, 14, 24) based on your trading timeframe. Shorter periods (6) for scalping, standard (14) for day trading, longer (24) for swing trading. You can disable any RSI period you don't need. Smoothing Selection: Choose smoothing method based on your needs. EMA provides balanced smoothing, RMA (Wilder's) is traditional, Zero-Lag reduces lag but may increase noise. Adjust smoothing lengths individually or use global smoothing for consistency. Note: Smoothing lengths are automatically validated to ensure they are always less than the corresponding RSI period length. If you set smoothing >= RSI length, it will be auto-adjusted to prevent invalid configurations. Dynamic OB/OS: The dynamic thresholds automatically adapt to volatility. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets. Volume Confirmation: Set volume threshold to 1.2 (default) for standard confirmation, higher for stricter filtering, or 0.1 to disable volume filtering entirely. Multi-RSI Synergy: Use "ALL" mode for highest-quality signals (all 3 RSIs must align), or "2-of-3" mode for more frequent signals. Adjust the reset period to control signal frequency. Filters: Enable filters gradually to find your preferred balance. Start with volume confirmation, then add trend filter, then ADX for strongest confirmation. RSI(50) filter is useful for momentum-based strategies and is recommended for noise reduction. Momentum confirmation and multi-timeframe confirmation add additional layers of accuracy but may reduce signal frequency. Noise Reduction: The noise reduction system is enabled by default with balanced settings. Adjust minSignalStrength (default 3.0) to control how far RSI must be from centerline. Increase requireConsecutiveBars (default 1) to require signals to persist longer. Enable requireZonePersistence and requireRsiSlope for stricter filtering (higher quality but fewer signals). Start with defaults and adjust based on your needs. Divergence: Enable divergence detection and adjust lookback periods. Strong divergence (with engulfing confirmation) provides higher-quality signals. Hidden divergence is useful for trend-following strategies. Enable pivot-based divergence for more accurate detection using actual pivot points instead of simple lowest/highest comparisons. Pivot-based divergence uses tolerance-based matching (1% for price, 1.0 RSI point for RSI) for better accuracy. Forecasting: Enable regression forecasting to see potential RSI direction. Linear regression is simplest, polynomial captures curves, exponential smoothing adapts to trends. Adjust horizon based on your trading timeframe. Confidence bands show forecast uncertainty - wider bands indicate less reliable forecasts. Pivot Trendlines: Enable pivot trendlines to visualize RSI trends and identify trend breaks. Adjust pivot detection period (default 5) - higher values detect fewer but stronger pivots. Enable pivot confirmation (default ON) to reduce repainting. Set minPivotStrength (default 1.0) to filter weak pivots - lower values detect more pivots (more trendlines), higher values detect only stronger pivots (fewer trendlines). Enable "Keep Historical Trendlines" to preserve multiple trendlines instead of just the most recent one. Set "Max Trendlines to Keep" (default 5) to control how many historical trendlines are preserved. Enable trend break confirmation for more reliable break signals. Adjust minTrendlineAngle (default 0.0) to filter flat trendlines - set to 0.1-0.5 to exclude weak trendlines. Alerts: Set up alerts for your preferred signal types. Enable cooldown to prevent alert spam. Each signal type has its own alert condition, so you can be selective about which signals trigger alerts. Visual Elements and Signal Markers The script uses various visual markers to indicate signals and conditions: - "sBottom" label (green): Strong bottom signal - RSI at extreme low with strong buy conditions - "sTop" label (red): Strong top signal - RSI at extreme high with strong sell conditions - "SyBuy" label (lime): Multi-RSI synergy buy signal - all RSIs aligned oversold - "SySell" label (red): Multi-RSI synergy sell signal - all RSIs aligned overbought - 🐂 emoji (green): Strong bullish divergence detected - 🐻 emoji (red): Strong bearish divergence detected - 🔆 emoji: Weak divergence signals (if enabled) - "H-Bull" label: Hidden bullish divergence - "H-Bear" label: Hidden bearish divergence - ⚡ marker (top of pane): Volume climax detected (extreme volume) - positioned at top for visibility - 💧 marker (top of pane): Volume dry-up detected (very low volume) - positioned at top for visibility - ↑ triangle (lime): Uptrend break signal - RSI breaks below uptrend line - ↓ triangle (red): Downtrend break signal - RSI breaks above downtrend line - Triangle up (lime): RSI(50) bullish crossover - Triangle down (red): RSI(50) bearish crossover - Circle markers: RSI period crossovers All markers are positioned at the RSI value where the signal occurs, using location.absolute for precise placement. Signal Priority and Interpretation Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups: 1. Multi-RSI Synergy signals (SyBuy/SySell) - Highest priority: Requires alignment across all RSI periods plus volume and filter confirmation. These are the most reliable signals. 2. Strong Top/Bottom signals (sTop/sBottom) - High priority: Indicates extreme RSI levels with strong bounce conditions. Requires volume confirmation and all filters. 3. Divergence signals - Medium-High priority: Strong divergence (with engulfing) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal. 4. Adaptive RSI crossovers - Medium priority: Buy when adaptive RSI crosses below dynamic oversold, sell when it crosses above dynamic overbought. These use volatility-adjusted RSI for more accurate signals. 5. RSI(50) centerline crossovers - Medium priority: Momentum shift signals. Less reliable alone but useful when combined with other confirmations. 6. RSI period crossovers - Lower priority: Early momentum shift indicators. Can provide early warning but may produce false signals in choppy markets. Best practice: Wait for multiple confirmations. For example, a synergy signal combined with divergence and volume climax provides the strongest setup. Chart Requirements For proper script functionality and compliance with TradingView requirements, ensure your chart displays: - Symbol name: The trading pair or instrument name should be visible - Timeframe: The chart timeframe should be clearly displayed - Script name: "Ultimate RSI " should be visible in the indicator title These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels. Performance Considerations The script is optimized for performance: - ATR and Volume SMA are cached using var variables, updating only on confirmed and real-time bars to reduce redundant calculations - Forecast line arrays are dynamically managed: lines are reused when possible, and unused lines are deleted to prevent memory accumulation - Calculations use efficient Pine Script functions (ta.rsi, ta.ema, etc.) which are optimized by TradingView - Array operations are minimized where possible, with direct calculations preferred - Polynomial regression automatically caps the forecast horizon at 20 bars (POLYNOMIAL_MAX_HORIZON constant) to prevent performance degradation, as polynomial regression has O(n³) complexity. This safeguard ensures optimal performance even with large horizon settings - Pivot detection includes edge case handling to ensure reliable calculations even on early bars with limited historical data. Regression forecasting functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, and division-by-zero protection in all mathematical operations The script should perform well on all timeframes. On very long historical data, forecast lines may accumulate if the horizon is large; consider reducing the forecast horizon if you experience performance issues. The polynomial regression performance safeguard automatically prevents performance issues for that specific regression type. Known Limitations and Considerations - Forecast lines are forward-looking projections and should not be used as definitive predictions. They provide context but are not guaranteed to be accurate. - Dynamic OB/OS thresholds can exceed 100 or go below 0 in extreme volatility scenarios, but are clamped to 0-100 range. This means in very volatile markets, the dynamic thresholds may not widen as much as the raw calculation suggests. - Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable. - Higher timeframe RSI uses request.security() which may have slight delays on some data feeds. - Regression forecasting requires at least N bars of history (where N = forecast horizon) before it can generate forecasts. Early bars will not show forecast lines. - StochRSI calculation requires the selected RSI source to have sufficient history. Very short RSI periods on new charts may produce less reliable StochRSI values initially. Practical Use Cases The indicator can be configured for different trading styles and timeframes: Swing Trading: Select the "Swing Trading" preset for instant optimal configuration. This preset uses RSI periods (14, 14, 21) with moderate smoothing. Alternatively, manually configure: Use RSI(24) with Multi-RSI Synergy in "ALL" mode, combined with trend filter (EMA 200) and ADX filter. This configuration provides high-probability setups with strong confirmation across multiple RSI periods. Day Trading: Select the "Day Trading" preset for instant optimal configuration. This preset uses RSI periods (6, 9, 14) with light smoothing and momentum confirmation enabled. Alternatively, manually configure: Use RSI(6) with Zero-Lag smoothing for fast signal detection. Enable volume confirmation with threshold 1.2-1.5 for reliable entries. Combine with RSI(50) filter to ensure momentum alignment. Strong top/bottom signals work well for day trading reversals. Trend Following: Enable trend filter (EMA) and EMA slope filter for strong trend confirmation. Use RSI(14) or RSI(24) with ADX filter to avoid choppy markets. Hidden divergence signals are useful for trend continuation entries. Reversal Trading: Focus on divergence detection (regular and strong) combined with strong top/bottom signals. Enable volume climax detection to identify capitulation moments. Use RSI(6) for early reversal signals, confirmed by RSI(14) and RSI(24). Forecasting and Planning: Enable regression forecasting with polynomial or exponential smoothing methods. Use forecast horizon of 10-20 bars for swing trading, 5-10 bars for day trading. Confidence bands help assess forecast reliability. Multi-Timeframe Analysis: Enable higher timeframe RSI to see context from larger timeframes. For example, use daily RSI on hourly charts to understand the larger trend context. This helps avoid counter-trend trades. Scalping: Select the "Scalping" preset for instant optimal configuration. This preset uses RSI periods (4, 7, 9) with minimal smoothing, disables noise reduction, and disables momentum confirmation for faster signals. Alternatively, manually configure: Use RSI(6) with minimal smoothing (or Zero-Lag) for ultra-fast signals. Disable most filters except volume confirmation. Use RSI period crossovers (RSI(6) × RSI(14)) for early momentum shifts. Set volume threshold to 1.0-1.2 for less restrictive filtering. Position Trading: Select the "Position Trading" preset for instant optimal configuration. This preset uses extended RSI periods (24, 21, 28) with heavier smoothing, optimized for longer-term trades. Alternatively, manually configure: Use RSI(24) with all filters enabled (Trend, ADX, RSI(50), Volume Dry-Up avoidance). Multi-RSI Synergy in "ALL" mode provides highest-quality signals. Practical Tips and Best Practices Getting Started: The fastest way to get started is to select a configuration preset that matches your trading style. Simply choose "Scalping", "Day Trading", "Swing Trading", or "Position Trading" from the "Configuration Preset" dropdown to instantly configure all settings optimally. For advanced users, use "Custom" mode for full manual control. The default configuration (Custom mode) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style. Reducing Repainting: All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy. Signal Quality: Multi-RSI Synergy signals in "ALL" mode provide the highest-quality signals because they require alignment across all three RSI periods. These signals have lower frequency but higher reliability. For more frequent signals, use "2-of-3" mode. The noise reduction system further improves signal quality by requiring multiple confirmations (signal strength, extreme zone, consecutive bars, optional zone persistence and RSI slope). Adjust noise reduction settings to balance signal frequency vs. accuracy. Filter Combinations: Start with volume confirmation, then add trend filter for trend alignment, then ADX filter for trend strength. Combining all three filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance. Volume Filtering: Set volume threshold to 0.1 or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold. RSI Period Selection: RSI(6) is most sensitive and best for scalping or early signal detection. RSI(14) provides balanced signals suitable for day trading. RSI(24) is smoother and better for swing trading and trend confirmation. You can disable any RSI period you don't need to reduce visual clutter. Smoothing Methods: EMA provides balanced smoothing with moderate lag. RMA (Wilder's smoothing) is traditional and works well for RSI. Zero-Lag reduces lag but may increase noise. WMA gives more weight to recent values. Choose based on your preference for responsiveness vs. smoothness. Forecasting: Linear regression is simplest and works well for trending markets. Polynomial regression captures curves and works better in ranging markets. Exponential smoothing adapts to trends. Moving average method is most conservative. Use confidence bands to assess forecast reliability. Divergence: Strong divergence (with engulfing confirmation) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Pivot-based divergence provides more accurate detection by using actual pivot points instead of simple lowest/highest comparisons. Adjust lookback periods based on your timeframe: shorter for day trading, longer for swing trading. Pivot divergence period (default 5) controls the sensitivity of pivot detection. Dynamic Thresholds: Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets. Alert Management: Enable alert cooldown (default 10 bars, recommended) to prevent alert spam. Each alert type has its own cooldown, so you can set different cooldowns for different signal types. For example, use shorter cooldown for synergy signals (high quality) and longer cooldown for crossovers (more frequent). The cooldown system works independently for each signal type, preventing spam while allowing different signal types to fire when appropriate. Technical Specifications - Pine Script Version: v6 - Indicator Type: Non-overlay (displays in separate panel below price chart) - Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results - Performance: Optimized with caching for ATR and volume calculations. Forecast arrays are dynamically managed to prevent memory accumulation. - Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.) - Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Reset conditions and alert cooldowns handle edge cases where conditions never occurred or values are NA. - Reset Logic: Separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) ensure logical correctness. - Input Parameters: 60+ customizable parameters organized into logical groups for easy configuration. Configuration presets available for instant setup (Scalping, Day Trading, Swing Trading, Position Trading, Custom). - Noise Reduction: Comprehensive noise reduction system with multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to reduce false signals. - Pivot-Based Divergence: Enhanced divergence detection using actual pivot points for improved accuracy. - Momentum Confirmation: RSI momentum filter ensures signals only fire when RSI is accelerating in the signal direction. - Multi-Timeframe Confirmation: Optional higher timeframe RSI alignment for trend confirmation. - Enhanced Pivot Trendlines: Trendline drawing with strength requirements, confirmation, and trend break detection. Technical Notes - All RSI values are clamped to 0-100 range to ensure valid oscillator values - ATR and Volume SMA are cached for performance, updating on confirmed and real-time bars - Reset conditions handle edge cases: if a condition never occurred, reset returns true (allows first signal) - Alert cooldown handles na values: if no previous alert, cooldown allows the alert - Forecast arrays are dynamically sized based on horizon, with unused lines cleaned up - Fill logic uses a minimum gap (0.1) to ensure reliable polygon rendering in TradingView - All calculations include safety checks for division by zero and boundary conditions. Regression functions validate that horizon doesn't exceed array size, and all array access operations include bounds checking to prevent out-of-bounds errors - The script uses separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) for logical correctness - Background coloring uses a fallback system: dynamic color takes priority, then RSI(6) heatmap, then monotone if both are disabled - Noise reduction filters are applied after accuracy filters, providing multiple layers of signal quality control - Pivot trendlines use strength requirements to filter weak pivots, reducing noise in trendline drawing. Historical trendlines are stored in arrays and automatically limited to prevent memory accumulation when "Keep Historical Trendlines" is enabled - Volume climax and dry-up markers are positioned at the top of the pane for better visibility - All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization) - Input Validation: Automatic cross-input validation ensures smoothing lengths are always less than RSI period lengths, preventing configuration errors - Configuration Presets: Four optimized preset configurations (Scalping, Day Trading, Swing Trading, Position Trading) for instant setup, plus Custom mode for full manual control - Constants Management: Magic numbers extracted to documented constants for improved maintainability and easier tuning (pivot tolerance, divergence thresholds, fill gap, etc.) - TradingView Function Consistency: All TradingView functions (ta.crossover, ta.crossunder, ta.atr, ta.lowest, ta.highest, ta.lowestbars, ta.highestbars, etc.) and custom functions that depend on historical results (f_consecutiveBarConfirmation, f_rsiSlopeConfirmation, f_rsiZonePersistence, f_applyAllFilters, f_rsiMomentum, f_forecast, f_confirmPivotLow, f_confirmPivotHigh) are called on every bar for consistency, as recommended by TradingView. Results are then used conditionally when needed. This ensures consistent calculations and prevents calculation inconsistencies.
Indicador Pine Script®
por captain_ua
Bullish Volume RatioBullish Volume Ratio (BVR) Indicator The Bullish Volume Ratio (BVR) is a sophisticated momentum oscillator designed to measure the true intensity of buying pressure versus selling pressure in the market. It provides a unique, statistically-driven view of market conviction, making it an essential tool for traders who seek to confirm trend health and anticipate major shifts. BVR achieves its precision by not only assessing net volume but also using proprietary volume weighting logic to gauge the quality of participation in each candle, filtering out market noise to present a clear picture of underlying demand. Key Features Statistically-Driven Conviction: The indicator utilizes a Z-Score to measure how far the current BVR reading deviates from its historical average, providing an objective measure of whether buying or selling is truly exceptional or just noise. Clear Visual Signals: The oscillator plot is designed for clear interpretation on a separate pane, helping you identify regime shifts without cluttering the main price chart. Real-Time Data Dashboard (Optional): A customizable table on the chart displays the current BVR, Z-score, and other critical volume metrics at a glance. Simplified Trading Guide The BVR indicator simplifies volume analysis into clear, actionable signals that can be used for trend confirmation and reversal anticipation. 1. Trend Confirmation Use the BVR to confirm the momentum of an existing trend: Bullish Confirmation: When price is trending up, look for the BVR line to be rising and consistently above the center line. This signals that buyers are in firm control and the uptrend has strong volume conviction. Bearish Confirmation: When price is trending down, look for the BVR line to be falling and deep below the center line. This indicates sellers are dominating the volume profile, confirming the strength of the downtrend. 2. Identifying Trade Entry/Exit Zones The indicator's Z-Score component is key to spotting extremes that often precede a reversal: Potential Long Entry: Look for a sustained negative Z-Score followed by a sharp crossover back towards the center line or into positive territory. This can signal that selling pressure has reached an exhaustion point and accumulation (buying) is beginning. Potential Short Entry: Look for a sustained positive Z-Score followed by a sharp crossover back towards the center line or into negative territory. This suggests that buying momentum is exhausted and distribution (selling) is commencing. 3. The Volume Spike Filter The indicator also alerts you to candles with significantly high volume relative to the recent average. Use this as a filter: Breakout Validation: A price breakout is more likely to be legitimate if it is accompanied by a high volume spike confirmed by a strong BVR reading in the direction of the breakout. Reversal Warning: A high volume spike at a key support or resistance level, particularly one that leads to a sharp turn in the BVR, can strongly signal a climactic reversal in progress.
Indicador Pine Script®
por MarkitTick
Force Pulse█ OVERVIEW Force Pulse is a fast-reacting oscillator that measures the internal strength of market sides by analyzing the aggregated dominance of bulls and bears based on candle size. The indicator normalizes this difference into a 0–100 range, generates signals (OB/OS, midline cross, MA midline cross), and detects divergences between price and the oscillator. It also offers advanced visualization, signal markers, and alerts, making it a versatile tool suitable for many trading styles. █ CONCEPTS Force Pulse was designed as a universal tool that can be applied to various trading strategies depending on its settings: - increasing the period lengths and smoothing transforms it into a momentum/trend indicator, revealing a stable dominance of one market side. - Lowering these parameters turns it into a peak/low detector, ideal for contrarian and mean-reversion strategies. The oscillator analyzes the relationship between the sum of bullish and bearish candles over a selected period, based on: - candle body size, or - average candle body size (AVG Body). Depending on the selected mode, OB/OS levels should be adjusted, as value dynamics differ between modes. The output is normalized to 0–100, where: > 50 – bullish dominance, < 50 – bearish dominance. The additional MA line is derived from smoothed oscillator values and serves as a signal line for midline crosses and as a trend filter. The indicator also detects divergences (HL/LL) between price and the oscillator. █ FEATURES Bull & Bear Strength: - Calculations are based on Body or AVG Body – mode selection requires adjusting OB/OS levels. - Bullish and bearish candle values are summed separately. - All results are normalized to the 0–100 scale. Force Pulse Oscillator: - The main line reflects the current dominance of either market side. Dynamic colors: - Green – above 50, - Red – below 50. Signal MA: - SMA based on oscillator values functions as a signal line. - Helps detect momentum shifts and generates signals via midline crosses. - Can serve as a trend confirmation filter. Overbought / Oversold: - Configurable OB/OS levels, also for the MA line. - Dynamic OB/OS line colors: when the MA line exceeds the defined threshold (e.g., MA > maOverbought or MA < maOversold), OB/OS lines change color (red/green). - This often signals a potential reversal or correction and may act as additional confirmation for oscillator-generated signals. Divergences: - Detection based on swing pivots: - Bullish: price LL, oscillator HL - Bearish: price HH, oscillator LH - Displayed as “Bull” / “Bear” labels. Signals: Supports multiple signal types: - Overbought/Oversold Cross - Midline Cross - MA Midline Cross (based on the signal MA line) - Signals appear as triangles above/below the oscillator. Visualization: - Gradient options for lines and levels. - Full customization of colors, transparency, and line thickness. Alerts available for: - Divergences - OB/OS crossings - Midline crossings - MA midline crossings █ HOW TO USE Add the indicator to your TradingView chart → Indicators → search “Force Pulse” Parameter Configuration Calculation Settings: - Calculation Period (lookback) – defines the strength calculation window. Force Mode (Body / AVG Body): - Body – faster response, higher sensitivity. - AVG Body – more stable output; adjust band levels and periods to your strategy. - EMA Smoothing (smoothLen) – reduces oscillator noise. - MA Length – length of the signal line (SMA). Threshold Levels: - Set Overbought/Oversold levels for both the oscillator and the MA line. - Adjust levels depending on Body / AVG Body mode. Divergence Detection: - Enable/disable divergence detection. - PivotLength affects both delay and signal quality. - Signal Settings: Choose one or multiple signal types. - Style & Colors: Full control over color schemes, gradients, and transparency. Signal Interpretation BUY: - Oscillator leaves oversold (OS crossover). - Midline cross upward. - MA crosses the midline from below. - Bullish divergence. SELL: - Oscillator leaves overbought (drops below OB). - Midline cross downward. - MA crosses the midline from above. - Bearish divergence. Trend / Momentum: -Longer periods and stronger smoothing → stable directional signals. -MA as a trend filter: e.g., signal line above the midline (50) and MA pointing upward indicates continuation of a bullish impulse. Contrarian / Mean Reversion: - Short periods → rapid detection of peaks and troughs; ideal for contrarian signals and pullback entries. █ APPLICATIONS - Trend Trading: Using midline and MA midline crosses to determine direction. - Reversal Trading: OB/OS levels and divergences help identify reversals. - Scalping & Intraday: Short settings + signal line above the midline with bullish MA → shows short-term impulse and continuation. - Swing Trading: Longer MA and higher lookback provide a stable view of market-side dominance. - Momentum Analysis: Force Pulse highlights the strength of the wave before price movement occurs. █ NOTES - In strong trends, the oscillator may stay in extreme zones for a long time — this reflects dominance, not necessarily a reversal signal. - Divergences are more reliable on higher timeframes. - OB/OS levels should be tailored to Body/AVG Body mode and the instrument. - Best results come from combining the indicator with other tools (S/R, market structure, volume).
Indicador Pine Script®
por Uncle_the_shooter
8
Fluxion Oscillator [Kodexius]Fluxion Oscillator is a multi dimensional momentum and flow toolkit designed to highlight exhaustion, reversals and confluence in a very compact way. The script combines a normalized trend oscillator, volume sensitive money movement, a volatility gauge and a visual confluence gauge that all sit in a single pane. Instead of focusing on a single signal, Fluxion looks at the interaction between price, momentum and volume. The core oscillator tracks the relationship between a fast and a slow response of price, then rescales it into a stable 0 to 100 band. A companion flow line tracks how actively price is being supported or pressured by volume. On top of that, a volatility based gauge and an overbought or oversold reversal layer help highlight when moves are stretched and vulnerable. The result is an environment where you can quickly see: -When momentum is expanding or fading -When price swings are supported or rejected by volume -Where local tops or bottoms can be forming through divergence -How strong the current push is in the context of recent volatility -A compact gauge that visually ranks the current state from “minimum” to “maximum” pressure It is not a trading system by itself, but a framework that makes it much easier to build rules and confluence around your own strategy. ⭐ Features Normalized Fluxion Oscillator Core oscillator built from the difference between a fast and a slow smoothing of the chosen source. Automatically normalized into a bounded range so it behaves consistently across symbols and timeframes. Dual line structure: the main line and a signal line, making crossovers easy to read. Dynamic fill that shifts color depending on whether the main line is above or below the signal line. Bullish and Bearish Crosses Visual circles highlighting when the main oscillator crosses its signal line upward or downward. Bullish crosses emphasize potential momentum ignition after downside pressure. Bearish crosses emphasize potential cooling of momentum after upside pressure. Money Flow Layer Separate line that blends price and volume over a configurable lookback. Smoothed to reduce noise and plotted around a central balance level. Colored region that clearly shows whether buying pressure or selling pressure dominates. Divergence Detection Suite Automatic detection of regular bullish and regular bearish divergences between price and the normalized oscillator. Optional hidden bullish and hidden bearish divergences for continuation setups. Uses pivot based swing points so the lines attach to meaningful highs and lows instead of random wiggles. All divergence types can be toggled independently so you can keep the chart as clean as you like. Volatility and Positioning Gauge A compact gauge that evaluates where the current price sits relative to a volume weighted average and its recent typical fluctuation. Colors shift as price moves from neutral to stretched zones in either direction. Background highlighting above and below the oscillator scale to reflect when this gauge is in an extreme region. Helps quickly see whether you are buying into strength after a large extension or stepping in near value. Reversal Signals With Volume Confirmation A higher time sensitivity reversal metric based on a 0 to 100 scale of recent price changes. Signals are only highlighted when there is also a short burst in volume, so quiet market noise is reduced. Bearish reversal markers appear in the upper region, bullish markers in the lower region, giving a clear visual “top” and “bottom” feel. Confluence Gauge Right side grid composed of horizontal bands, from “Min” at the bottom to “Max” at the top. Each band reflects a segment of a smoothed, range based momentum reading that tracks how far price has advanced within its recent 0 to 100 window. The currently active band is highlighted in green for bullish momentum or red for bearish momentum, depending on the relationship between fast and slow lines within that range. A pointer and labels make it obvious where the current environment sits relative to the full range of possible conditions. Divergence Core Users can define the pivot length to control how strict and how far apart swing points should be. High Customization Adjustable lookback lengths for the core oscillator, signal smoothing and normalization. Separate controls for money flow length and smoothing. Optional toggles for each divergence type so you can focus only on the structures you care about. ⭐ Calculations This section explains conceptually how Fluxion works without exposing the full underlying formula details. The goal is to help you understand what each component represents and how it behaves, so you can use it more effectively. Fluxion Oscillator Core The foundation of the indicator is the difference between two smoothed versions of the selected price source. One reacts more quickly to new price information, the other reacts more slowly. When the fast curve is above the slow curve, the oscillator becomes positive, signaling that short term action is advancing faster than the background trend. When the fast curve is below the slow curve, it becomes negative, indicating short term weakness. This raw difference is then normalized over a rolling window. The highest and lowest values in that window are used to rescale the oscillator into a 0 to 100 band. This produces a stable, comparable scale across markets and timeframes. A secondary smoothing of the oscillator creates the signal line. The interaction between the main line and this signal is used to color the fill region and locate cross events. Money Flow Construction The money flow line is based on how price closes within its candle range combined with the traded volume. Up candles with strong closes and high volume contribute positively, while down candles with weak closes and high volume contribute negatively. These contributions are aggregated over a configurable period to create a net “pressure” measure. The result represents how aggressively participants have been positioning over that window, not just whether price went up or down. The line is then smoothed to reduce micro noise and plotted around a central balance level, here set at 50. Values above the balance zone suggest net positive pressure, values below suggest net negative pressure. An additional internal threshold is used to detect when this pressure stays on one side of the balance area long enough to be considered an “overflow,” which helps detect sustained accumulation or distribution phases. Volatility and Positioning Gauge The gauge computes a volume weighted average price over a user defined period. This gives more weight to prices at which more volume was traded. It then evaluates how far the current price is from that volume weighted center, relative to the typical price variation around it. This creates a standardized distance measure that tells you how stretched price is from its recent fair zone. When the distance becomes significantly positive, the market is considered extended upward. When it becomes significantly negative, it is extended downward. Intermediate thresholds are used to create “warning” and “extreme” zones. Background fills at the top and bottom of the panel change based on this standardized distance, visually indicating when the market is moving into overextended territory that often precedes mean reversion or at least slowing of the move. Reversal Metric With Volume Filter A separate 0 to 100 style momentum score is calculated over a mid length window. It evaluates recent gains and losses in price to produce a relative strength measure of the current move. Upper and lower thresholds on this score are used to mark areas where price action is historically stretched to the upside or downside. This alone would generate many signals, so a volume based filter is added. Reversal markers are only displayed when this momentum score is in an extreme area and volume has shown a short term pickup. This combination gives more weight to reversals that occur during active trading, where trapped positions and forced unwinds are more likely. Divergence Engine The divergence logic scans for swing highs and swing lows in the normalized oscillator and in price. Swing points are defined by requiring a certain number of bars on both sides of the pivot, which you can configure via the divergence length input. For regular bullish divergence: Price makes a lower low, indicating apparent weakness. The oscillator makes a higher low over the same general region, indicating that internal momentum is actually improving. If both conditions are met within a valid bar distance, a bullish divergence line is drawn from the prior oscillator pivot to the new one. For regular bearish divergence: Price makes a higher high, suggesting continued strength. The oscillator makes a lower high, showing that underlying momentum is waning. The engine checks that both pivot structures appear within an allowed time frame, then draws a bearish line between the oscillator peaks. Hidden divergences are handled in a similar way, except the direction of price and oscillator swings is reversed, which makes them suitable for trend continuation contexts instead of reversal contexts. Confluence Gauge The grid on the right converts a smoothed, range based momentum reading into ten equal bands. This momentum reading looks at where the current value sits between the lowest and highest readings of a recent window, then rescales it into a 0 to 100 scale. That 0 to 100 value is divided into ten slices of ten points each. For example, 0 to 10 is the lowest band, 90 to 100 is the top band. The algorithm then checks whether the fast component of this reading is above or below its slower companion. If fast is above slow, it is treated as bullish pressure and the active band is colored in green. If fast is below slow, it is treated as bearish pressure and the active band is colored in red. A pointer label is placed alongside the active band and “Max” and “Min” markers are drawn above and below the grid. This creates a compact visual where you can quickly gauge if the current state is closer to the lower boundary of recent conditions or to the upper boundary, along with its directional bias. Normalization And Scaling Several internal components use rolling highest and lowest values to transform raw readings into normalized percentages. This includes the main oscillator and the range based momentum used by the confluence gauge. The key idea is to express conditions relative to what has recently been possible on that instrument and timeframe instead of using absolute fixed thresholds. This makes Fluxion adaptive and more robust when switching between assets with different volatility profiles.
Indicador Pine Script®
por Kodexius
SuperTrend Oscillator MTF█ OVERVIEW SuperTrend Oscillator MTF is a multi-timeframe version of the classic SuperTrend converted into an oscillator. Instead of drawing the SuperTrend line on the price chart, it displays the distance of the close from the SuperTrend line simultaneously for the current timeframe and two additional timeframes. This allows you to instantly see the trend direction and strength across three selected timeframes in a single window. █ CONCEPT The classic SuperTrend value is subtracted from price and normalized so that trend direction can be directly compared across different timeframes without switching charts. - Value above zero = price below SuperTrend line → bearish trend - Value below zero = price above SuperTrend line → bullish trend - The further away from zero, the stronger the trend. █ FEATURES - Three SuperTrend Oscillator lines: current TF, TF1 and TF2 - Automatic detection of 3-timeframe agreement - BUY and SELL labels that appear only when all three timeframes turn in the same direction at the same moment - Circle signals on every zero-line cross of the current timeframe - Configurable soft gradient fill (can be disabled) - Zero line changes color (green/red/gray) depending on 3-TF agreement - Fully customizable colors for each timeframe - Built-in alerts for all signal types █ HOW TO USE Add the indicator to the chart → set two additional timeframes and adjust ATR Period and Factor to suit your trading style. Main settings: - ATR Period → default 10 - Factor → default 3.0 (higher = fewer signals) - TF 1 and TF 2 → any timeframes (e.g. 1H+4H, 4H+D, D+W, etc.) - Enable gradient → turn fill on/off - Show BUY/SELL labels (3 TF agreement) → enable/disable the strongest signals Interpretation: Two types of signals: - Green/red circles → current timeframe changes trend direction (faster signal) - BUY/SELL labels → all three timeframes simultaneously switch to the same direction (strongest confluence) - Additionally, the zero line turns green or red when all three trends are aligned. █ APPLICATIONS Perfect for: - Trend-following with multi-timeframe confirmation - Filtering false breakouts on lower timeframes - Scalping & day trading (use fast circle signals) - Swing & position trading (wait for full 3-TF agreement) Best combined with: - Support/resistance levels and supply/demand zones – enter long after a confirmed breakout and retest of a key level (e.g. Change of Character, Break of Structure, Order Block, 0.618–0.786 Fibonacci) only when the oscillator shows 3-TF agreement or at least a bullish circle. Hold the trade to the next significant resistance/supply zone. - Volume and Volume Profile – confirm move strength with rising volume and high-volume nodes at the breakout level. Declining volume while moving away from zero may signal trend exhaustion. - Classic oscillators (RSI, Stochastic, MACD) – use primarily for spotting divergences and overbought/oversold conditions. One of the safest exits is when a regular or hidden divergence appears on RSI/Stochastic in an extreme zone, even if SuperTrend Oscillator MTF still shows alignment. █ NOTES - Works on all markets and all timeframes - BUY/SELL labels (3-TF agreement) are the cleanest and strongest signals - Circle signals are faster but more prone to noise - Higher ATR Period = fewer signals, higher quality
Indicador Pine Script®
por Uncle_the_shooter
SuperTrend Fusion — Trend + Momentum + Volatility FilterSuperTrend Fusion — Trend + Momentum + Volatility Filter SuperTrend Fusion — ATP is an original, multi-factor trend-filtering tool that enhances the classic SuperTrend by combining three market dimensions in one unified model: 1. Trend direction (SuperTrend) Provides the base trend structure using ATR-based volatility bands. 2. Momentum confirmation (Average Force – adapted) An adapted version of an open-source “Average Force” concept published on TradingView by racer8. This component measures where closing price sits relative to recent highs/lows, smoothed to capture directional pressure. 3. Market condition filtering (Choppiness Index) Filters out sideways, non-trending zones where SuperTrend alone typically produces false flips. Together, these components create a cleaner, more selective system that focuses on higher-quality SuperTrend reversals, avoiding the most common whipsaws that occur during low-momentum or high-choppiness periods. 🔍 How it Works A long signal occurs when: - SuperTrend flips from downtrend to uptrend - Momentum (AF) is positive (optional filter) - The market is trending and not excessively choppy (optional filter) A short signal triggers under the symmetrical conditions. Filtered signals are visually marked with subtle “X” markers so traders can understand when a raw SuperTrend flip was rejected by the filters. The indicator also includes: Enhanced styling for better visibility Colored bars during valid signals Optional background highlight during choppy periods 🎯 What This Indicator Is Designed For This tool aims to: - Improve the quality of SuperTrend entries - Remove many low-probability signals - Help traders visually identify when the market has the momentum and structure required for cleaner trend continuation It is not intended to predict markets or guarantee accuracy; rather, it provides structure and clarity for decision-making based on technical rules. ⚙️ Inputs - ATR Length & Factor (SuperTrend) - Average Force Period & Smoothing - Choppiness Length & Threshold - Option to enable/disable each filter individually 📘 Credits This script includes an adapted version of an open-source “Average Force” function originally published on TradingView by its author, racer8. SuperTrend and Choppiness Index components are derived from classical, public-domain formulas. 📌 Important Notes This indicator is not a strategy and does not guarantee performance. Signals are based on historical calculations only and do not use lookahead. Past performance does not guarantee future results. Always test different assets and timeframes before using in live conditions. 👍 Recommended Usage For a clean experience: - Use on standard candlestick charts - Avoid non-standard chart types (Renko, Heikin Ashi, Kagi, Range) - Combine with your own risk management and trade planning
Indicador Pine Script®
por AlgoTrade_Pro
Hybrid -WinCAlgo/// 🇬🇧 Hybrid - WinCAlgo is a weighted composite oscillator designed to provide a more robust and reliable signal than the standard Relative Strength Index (RSI). It integrates four different momentum and volume metrics—RSI, Money Flow Index (MFI), Scaled CCI, and VWAP-RSI—into a single 0-100 oscillator. This powerful tool aims to filter market noise and enhance the detection of trend reversals by confirming momentum with trading volume and volume-weighted average price action. ⚪ What is this Indicator? The Hybrid Oscillator combines: * RSI (40% Weight): Measures fundamental price momentum. * VWAP-RSI (40% Weight): Measures the momentum of the Volume Weighted Average Price (VWAP), providing strong volume confirmation for trend strength. * MFI (10% Weight): Measures money flow volume, confirming momentum with liquidity. * Scaled CCI (10% Weight): Tracks market extremes and potential trend shifts, scaled to fit the 0-100 range. ⚪ Key Features * Composite Strength: Blends four different market factors for a multi-dimensional view of momentum. * Volume Integration: High weights on VWAP-RSI and MFI ensure that momentum signals are backed by trading volume. * Advanced Divergence: The robust formula significantly enhances the detection of Bullish and Bearish Divergences, often providing an earlier signal than traditional oscillators. * Customizable: Adjustable Lookback Length (N) and Individual Component Weights allow users to fine-tune the oscillator for specific assets or timeframes. * Visual Clarity: Uses 40/60 bands for earlier Overbought/Oversold indications, with a gradient-styled background for intuitive visual interpretation. ⚪ Usage Use Hybrid – WinCAlgo as your primary momentum confirmation tool: * Divergence Signals: Trust the indicator when it fails to confirm new price highs/lows; this signals imminent trend exhaustion and reversal. * Accumulation/Distribution: Look for the oscillator to rise/fall while the price is ranging at a bottom/top; this confirms hidden buying or selling (accumulation). * Overbought/Oversold: Use the 60 band as the trigger for potential selling/shorting signals, and the 40 band for potential buying/longing signals. * Noise Filter: Combine with a higher timeframe chart (e.g., 4H or Daily) to filter out gürültü (noise) and focus only on significant momentum shifts. ---
Indicador Pine Script®
por WinningCircle300
1
Relative Measured Extension (RME)The Relative Measured Extension (RME) indicator is a powerful oscillator that helps traders identify extreme price extensions from a moving average by normalizing historical data on a scale of -100 to +100. This indicator is inspired by the Deepvue RME indicator and brings its powerful methodology to TradingView with full customization options and additional features. What Makes RME Unique? Unlike traditional oscillators, RME dynamically calculates how extended the current price is compared to ALL previous extensions over your chosen lookback period. A reading of +100 means the stock is as far above the moving average as it has EVER been in the lookback window, while -100 indicates the maximum historical extension below the MA. Key Features ✅ Adaptive Scaling - Automatically normalizes to historical extremes ✅ Multiple MA Types - Choose between SMA, EMA, WMA, or VWMA ✅ Visual Zones - Color-coded overbought (70-100) and oversold (-70 to -100) regions ✅ Info Dashboard - Real-time display of RME value, extension %, MA value, and status ✅ Built-in Alerts - Get notified when entering overbought/oversold zones or crossing zero ✅ Fully Customizable - Adjust all parameters to match your trading style Recommended Settings Position Traders: Lookback Period: 250 MA Length: 50 Use for spotting significant trend changes and correction bottoms Swing Traders (Option 1): Lookback Period: 100 MA Length: 20 Faster signals for medium-term swings Swing Traders (Option 2): Lookback Period: 50 MA Length: 10 Most responsive for quick trades on strong momentum stocks How to Interpret +70 to +100 (Red Zone) - Overbought, potential pullback area -70 to -100 (Green Zone) - Oversold, potential reversal area Zero Line Cross - Momentum shift signal RME at 0 in uptrends - Excellent entry points during pullbacks Trading Application Early in Trends: High RME readings can signal strength, though a consolidation may be needed Late in Trends: Extreme readings may indicate exhaustion During Corrections: Use on index ETFs (QQQ, SPY) to identify potential bottoms Pro Tips Compare current extremes to historical extremes in context Strong stocks may hold near overbought zones longer Pullbacks to zero in strong uptrends often provide low-risk entries Works on all timeframes and instruments (stocks, crypto, forex, commodities) Credit: Inspired by the Deepvue Relative Measured Extension indicator
Indicador Pine Script®
por udaryan
EGX30 Advance/Decline Line🇪🇬 EGX30 Advance/Decline & Market Breadth Suite This comprehensive indicator provides a deep dive into the market breadth of the EGX30 index, allowing traders and analysts to monitor underlying buying and selling pressure across its constituents. It offers five distinct metrics for a holistic view of market health, ranging from traditional Advance/Decline analysis to advanced McClellan Oscillators and TRIN (Arms Index) readings. Key Features and Metrics The indicator is selectable via the 'Select Metric' input and can display the following on your chart: 1. Advance/Decline Line: A cumulative measure of the difference between the number of advancing stocks and declining stocks (Advancing Stocks−Declining Stocks). It helps confirm the market's trend strength. 2. McClellan Oscillator: Calculated using the Advance/Decline Ratio (AD Ratio) smoothed by two Exponential Moving Averages (EMAs). It acts as a momentum measure of the A/D Line, highlighting potential overbought/oversold conditions and trend turns. Climax Levels: Horizontal lines are plotted at +0.1 (Buy Climax) and −0.1 (Sell Climax). 3. Arms Index (TRIN): A volume-based indicator that measures the ratio of the Advance/Decline Ratio to the Advancing Volume/Declining Volume Ratio. A value above 1.0 is generally bearish (more volume in declining stocks), while a value below 1.0 is bullish. Bands: Upper and Lower deviation bands are calculated and plotted for advanced analysis of extremes. 4. Total Volume: The raw, aggregated volume of all EGX30 constituent stocks. 5. Total Liquidity (Total Traded Value): The sum of (Price × Volume) for all EGX30 constituent stocks, giving a more accurate representation of capital flow. ⚙️ Customizable & Smart Configuration The indicator is designed for maximum flexibility and accuracy across different chart timeframes: Automatic Timeframe Configuration: When enabled (default), the script automatically selects optimized lookback periods for the Moving Average (MA), McClellan EMAs, and TRIN Lookback based on whether the chart is Intraday, Daily, Weekly, or other. Manual Overrides: Disable the auto-configuration to manually set the MA Length, McClellan Fast/Slow EMAs, and TRIN Lookback/StdDev Multiplier for custom analysis. 📊 Advanced Data Table (Market Breakdown) When the 'Show Table' input is toggled ON, a detailed statistics table appears on the chart's top-right corner, providing real-time market insights. Top Performance (Contributors): Ranks and displays the Top N (customizable) stocks that are contributing the most to the index's movement, calculated as Weight × Percentage Change. Top Liquidity: Ranks and displays the Top N stocks by their current-bar traded value (Price×Volume), expressed as a percentage of the Total Traded Value. Horizontal Stats (Row 3): Provides a comprehensive summary of the current market state: Adv, Decl, Unch: Count of advancing, declining, and unchanged stocks. Net Adv: The difference between advancing and declining stocks. Net Vol / Net Liq: Net Volume/Liquidity as a percentage of Total Volume/Liquidity. Primary Metric/Volume Stats: Depending on the selected metric, it displays the current value of TRIN or the raw Total Volume and Total Liquidity. This tool is indispensable for traders needing a clear, quantified understanding of the EGX30's underlying market dynamics. EGX30 Advance/Decline v1.1 In this improved version, the relative weights of the index components have been adjusted, some stocks have been removed from the index, and new stocks have been added based on the latest update of the Egyptian Exchange's EGX30 index. Some visual improvements have also been made.
Indicador Pine Script®
por MarkitTick
RSI Cascade DivergencesRSI Cascade Divergences is a tool for detecting divergences between price and RSI with an extended cascade-based strength accumulation logic. A “cascade” represents a sequence of multiple divergences linked through RSI pivot points. The indicator records RSI pivots, checks whether a divergence is present, assigns a strength value to each structure, and displays only signals that meet your minimum strength thresholds. How Divergence Logic Works The indicator identifies local RSI extremes (pivots) based on Pivot Length and Pivot Confirm. For every confirmed pivot it stores: the RSI value at the pivot, the corresponding value of the RSI Source price, the pivot’s bar index. How a Divergence Is Formed A divergence is detected when two consecutive RSI pivots of the same type show opposite dynamics relative to the price source defined in RSI Source (default: close), not relative to chart highs/lows. Bearish divergence: the price source value at the second pivot is higher, but RSI forms a lower high. Bullish divergence: the price source value at the second pivot is lower, but RSI forms a higher low. The indicator does not use price highs/lows — only the selected price source at the pivot points. Cascade Strength Calculation Each new pivot is compared only with the previous pivot of the same type. A cascade grows in strength if: divergence conditions are met, the difference in RSI values exceeds Min. RSI Distance, the previous structure already had some strength or the previous pivot was formed in the OB/OS zone. If the divergence occurs as RSI exits OB/OS, strength is additionally increased by +1. Behavior in Strong Trends Divergences may appear repeatedly and even form cascades with high strength. However, if price does not react meaningfully, this indicates strong trend pressure. In such cases, divergences stop functioning as reversal signals: RSI attempts to counter-move, but the dominant trend continues. The indicator accurately reflects this — cascades may form but fail to trigger any reversal, which itself suggests a powerful, persistent trend. Filtering and Context Reset To avoid retaining irrelevant pivots: when RSI is above Overbought → low pivots are cleared; when RSI is below Oversold → high pivots are cleared. This prevents false cascades during extreme RSI conditions. Input Parameters RSI Source — price source used in RSI calculations (close, hl2, ohlc4, etc.). RSI Length — RSI calculation period. Overbought / Oversold — RSI threshold zones. Pivot Length — number of bars to the left required for a pivot. Pivot Confirm — bars to the right required to confirm the pivot. Min. RSI Distance — minimum difference between two pivot RSI values for the divergence to be considered meaningful. Min. Strength (Bull / Bear) — minimum accumulated strength for: confirming the signal, displaying the strength label, triggering alerts. Weaker signals below these thresholds appear as dashed guide structures. Visual Display settings for lines, markers, and colors. These parameters do not affect the indicator logic. Important Divergences — including cascades — should not be used as a standalone trading signal. Always combine them with broader market context, trend analysis, structure, volume, and risk management tools.
Indicador Pine Script®
por Pechka_Rider
1
XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading. The script includes: Dynamic Take Profit & Stop Loss lines Optional EMA trend filter Visual BUY and EXIT markers TradingView alerts for automation or notifications This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
Estrategia Pine Script®
por antishyilma81
DeltaBurst Locator ## DeltaBurst Locator DeltaBurst Locator is a sponsorship detector that divides OBV impulse by price thrust, normalizes the ratio, and cross-checks it against a higher timeframe confirmation stream. The oscillator turns the abstract "is this move real?" question into a precise number, exposing accumulation, distribution, and exhaustion across futures and stocks. HOW IT WORKS OBV Impulse vs. Price Change – Smoothed deltas of On-Balance Volume and price are ratioed, then normalized using a hyperbolic tangent function to prevent single prints from dominating. Signal vs. Confirmation – A short EMA produces the execution signal while a higher-timeframe request.security() feed validates whether broader flows agree. Spectrum Classification – Expansion/compression metrics grade whether current aggression is intense or fading, while ±0.65 bands define exhaust/vacuum zones. Slope Divergences – Linear regression slopes on both price and the ratio expose bullish/bearish sponsorship mismatches before candles reverse. HOW TO USE IT Breakout Validation : Only chase breakouts when both local and higher-timeframe ratios are on the same side of zero; mixed signals suggest liquidity is fading. Absorption Trades : When the histogram spikes beyond ±0.65 but the EMA lags, expect absorption; combine with price structure for pinpoint reversals. News/Event Monitoring : During earnings or macro releases, watch for ratio collapses with price still rising—this flags forced moves driven by hedging rather than real demand. VISUAL FEATURES Color logic: Positive sponsorship fills teal, negative fills crimson against the zero line, making intent obvious at a glance. Optional markers: Burst triangles and divergence dots can be enabled when you need explicit annotations or left off for a minimalist panel. Compression heatmap: Background shading communicates whether the market is coiling (high compression) or erupting (low compression). Dashboard: Displays the live ratio, higher-timeframe ratio, and agreement state to speed up scanning across tickers. PARAMETERS Fast Pulse Length (default: 5): Controls the smoothing window for price change detection. Slow Equilibrium Length (default: 34): Window for expansion/compression calculation. OBV Smooth (default: 8): Smoothing period for OBV impulse calculation. Ratio Ceiling (default: 3.0): Controls how aggressively values saturate; raise for high-volatility tickers. Signal EMA (default: 4): EMA period for the signal line. Confirmation Timeframe (default: 240): Pick a higher anchor (e.g., 4H) to validate intraday moves. Divergence Window (default: 21): Window for slope-based divergence detection. Show Burst Markers (default: disabled): Toggle burst triangles on demand. Show Divergence Markers (default: disabled): Toggle divergence dots on demand. Show Delta Dashboard (default: enabled): Hide when screen space is limited; leave on for desk broadcasts. ALERTS The indicator includes four alert conditions: DeltaBurst Bull: Spotted a bullish liquidity burst DeltaBurst Bear: Spotted a bearish liquidity burst DeltaBurst Bull Div: Detected bullish sponsorship divergence DeltaBurst Bear Div: Detected bearish sponsorship divergence Hope you enjoy!
Indicador Pine Script®
por officialjackofalltrades
RSI Analytic Volume Matrix [RAVM] Overview RSI Analytic Volume Matrix is an overlay indicator that turns classic RSI into a multi-layered market-reading engine. Instead of treating RSI 30 and 70 as simple buy/sell lines, RAVM combines RSI geometry (angle and acceleration), statistical volume analysis, and a 5×5 VSA-inspired matrix to describe what is really happening inside each candle. The script is designed as an educational and analytical tool. It does not generate trading signals. Instead, it helps you read the market context, understand where the pressure is coming from (buyers vs. sellers), and see how price, momentum, and volume interact in real time. Concept & Philosophy RAVM is built around a hierarchical logic and a few core ideas: • Hierarchical State Machine: First, RSI defines a context (where we are in the 0–100 range). Then the geometric engine evaluates the angle-of-turn of RSI using a Z-Score. Only after a meaningful geometric event is detected does the system promote a bar to a potential setup (warning vs. confirmed). • Geometric Primacy: The angle and acceleration of RSI (RSI geometry) are more important than the raw RSI level itself. RAVM uses a geometric veto: if the geometric trigger is not confirmed, the confidence score is capped below 50%, even if volume looks interesting. • RSI Beyond 30 and 70: Being above 70 or below 30 is not treated as an automatic overbought/oversold signal. RAVM treats those zones as contextual factors that contribute only a partial portion of the final score, alongside geometry, total volume expansion, buy/sell balance, and delta power. • Volume Decomposition: Volume is decomposed into total, buy-side, sell-side, and delta components. Each of these is normalized with a Z-Score over a shared statistical window, so RSI geometry and volume live in the same statistical context. • Educational Scoring Pipeline: RAVM builds a 0–100 "Quantum Score" for each detected setup. The score expresses how strong the story is across four dimensions: geometry (RSI angle-of-turn), total volume expansion, which side is driving that volume (buyers vs. sellers), and the power of delta. The score is designed for learning and weighting, not for mechanical trade entries. • VSA Matrix Engine: A 5×5 matrix combines momentum states and volume dynamics. Each cell corresponds to an interpreted VSA-style scenario (Absorption, Distribution, No Demand, Stopping Volume, Strong Reversal, etc.), shown both as text and as a heatmap dashboard on the chart. How RAVM Works 1. RSI Context & Geometry RAVM starts with a classic RSI, but it does not stop at simple level checks. It computes the velocity and acceleration of RSI and normalizes them via a Z-Score to produce an Angle-of-Turn metric (Z-AoT). This Z-AoT is then mapped into a 0–1 intensity value called MSI (Momentum Shift Intensity). The script monitors both classic RSI zones (around 30 and 70) and geometric triggers. Entering the lower or upper zone is treated as a contextual event only. A setup becomes "confirmed" when a significant geometric turn is detected (based on Z-AoT thresholds). Otherwise, the bar is at most a warning. 2. Volume & Statistical Engine The volume engine can work in two modes: a geometric approximation (based on candle structure) or a more precise intrabar mode using up/down volume requests. In both cases, RAVM builds a volume packet consisting of: • Total volume • Buy-side volume • Sell-side volume • Delta (buy – sell) Each of these series is normalized using a Z-Score over the same statistical window that is used for RSI geometry. This allows RAVM to answer questions such as: Is total volume exceptional on this bar? Is the expansion mostly coming from buyers or from sellers? Is delta unusually strong or weak compared to recent history? 3. Scoring System (Quantum Score) For each bar where a setup is active, RAVM computes a 0–100 score intended as an educational confidence measure. The scoring pipeline follows this sequence: A. RSI Geometry (MSI): Measures the strength of the RSI angle-of-turn via Z-AoT. This has geometric primacy over simple level checks. B. RSI Zone Context: Being below 30 or above 70 contributes only a partial bonus to the score, reflecting the idea that these zones are context, not automatic signals. Mildly supportive zones (e.g., RSI below 50 for bullish contexts) can also contribute with lower weight. C. Total Volume Expansion: A normalized Volume Power term expresses how exceptional the total volume is relative to its recent distribution. If there is no meaningful volume expansion, the score remains modest even if RSI geometry looks interesting. D. Which Side Is Driving the Volume: RAVM then checks whether the expansion is primarily on the buy side or the sell side, using Z-Score statistics for buy and sell volume separately. This stage does not yet rely on delta as a power metric; it simply answers the question: "Is this expansion mostly driven by buyers, sellers, or both?" E. Delta as Final Power: Only at the final stage does the script bring in delta and its Z-Score as a measure of how one-sided the pressure really is. A strong negative delta during a bullish context, for example, can highlight absorption, while a strong positive delta against a bearish context can highlight distribution or a buying climax. If a setup is not geometrically confirmed (for example, a simple entry into RSI 30/70 without a strong geometric turn), RAVM caps the final score below 50%. This "Geometric Veto" enforces the idea that RSI geometry must confirm before a scenario can be considered high-confidence. 4. Overlay UI & Smart Labels RAVM is an overlay indicator: all information is drawn directly on the price chart, not in a separate pane. When a setup is active, a smart label is attached to the bar, together with a vertical connector line. Each label shows: • Direction of the setup (bullish or bearish) • Trigger type (classic OS/OB vs. geometric/hidden) • Status (warning vs. confirmed) • Quantum Score as a percentage Confirmed setups use stronger colors and solid connectors, while warnings use softer colors and dotted connectors. The script also manages label placement to avoid overlap, keeping the chart clean and readable. In addition to labels, a dashboard table is drawn on the chart. It displays the currently active matrix scenario, the dominant bias, a short textual interpretation, the full 5×5 heatmap, and summary metrics such as RSI, MSI, and Volume Power. RSI Is Not Just 30 and 70 One of the central design decisions in RAVM is to treat RSI 30 and 70 as context, not as fixed buy/sell buttons. Many traders mechanically assume that RSI below 30 means "buy" and RSI above 70 means "sell". RAVM explicitly rejects this simplification. Instead, the script asks a series of deeper questions: How sharp is the angle-of-turn of RSI right now? Is total volume expanding or contracting? Is that expansion dominated by buyers or sellers? Is delta confirming the move, or is there a hidden absorption or distribution taking place? In the scoring logic, being in a lower or upper RSI zone contributes only part of the final score. Geometry, volume expansion, the buy/sell split, and delta power all have to align before a high-confidence scenario emerges. This makes RAVM much closer to a structured market-reading tool than a classic overbought/oversold indicator. Matrix User Manual – Reading the 5×5 Grid The heart of RAVM is its 5×5 matrix, where the vertical axis represents momentum states (M1–M5) and the horizontal axis represents volume dynamics (V1–V5). Each cell in this grid corresponds to a VSA-style scenario. The dashboard highlights the currently active cell and prints a textual description so you can read the story at a glance. 1. Confirmation Scenarios These scenarios occur when momentum direction and volume expansion are aligned: • Bullish Confirmation / Strong Reversal: Momentum is shifting strongly upward (often from a depressed RSI context), and expanded volume is driven mainly by buyers. Often seen as a strong bullish reversal or continuation signal from a VSA perspective. • Bearish Confirmation / Strong Drop: Momentum is turning decisively downward, and expanded volume is driven mainly by sellers. This maps to strong bearish continuation or sharp reversal patterns. 2. Absorption & Stopping Volume • Absorption: Total volume expands, but the dominant flow is opposite to the recent price move or the geometric bias. For example, heavy selling volume while the geometric context is bullish. This can indicate smart money quietly absorbing orders from the crowd. • Stopping Volume: Exceptionally high volume appears near the end of an extended move, while momentum begins to decelerate. Price may still print new extremes, but the effort vs. result relationship signals potential exhaustion and the possibility of a turn. 3. Distribution & Buying Climax • Distribution: Heavy buying volume appears within a bearish or topping context. Rather than healthy accumulation, this often represents larger players offloading inventory to late buyers. The matrix will typically flag this as a bearish-leaning scenario despite strong upside prints. • Buying Climax: A surge of buy-side volume near the end of a strong uptrend, with momentum starting to weaken. From a VSA point of view, this is often the last push where retail aggressively buys what smart money is selling. 4. No Demand & No Supply • No Demand: Price attempts to rise but does so on low, non-expansive volume. The market is not interested in following the move, and the lack of participation often precedes weakness or sideways action. • No Supply: Price tries to push lower on thin volume. Selling pressure is limited, and the lack of supply can precede stabilization or recovery if buyers step back in. 5. Trend Exhaustion • Uptrend Exhaustion: Momentum remains nominally bullish, but the quality of volume deteriorates (e.g., more effort, less net result). The matrix marks this as an uptrend losing internal strength, often after a series of aggressive moves. • Downtrend Exhaustion: Similar logic in the opposite direction: strong prior downtrend, but increasingly inefficient downside progress relative to the volume invested. This can precede accumulation or a relief rally. 6. Effort vs. Result Scenarios • Bullish Effort, Little Result: Buyers invest notable volume, but price progress is limited. This may reveal hidden selling into strength or a lack of follow-through from the broader market. • Bearish Effort, Little Result: Sellers push volume, but price does not decline proportionally. This can indicate absorption of selling pressure and potential underlying demand. 7. Neutral, Churn & Thin Markets • Neutral / Thin Market: Momentum and volume both remain muted. RAVM marks these as neutral cells where aggressive decision-making is usually less attractive and observing the broader structure is more important. • High Volume Churn / Volatility: Both sides are active with high volume but limited directional progress. This can correspond to battle zones, local ranges, or high volatility rotations where the main message is conflict rather than clear trend. Inputs & Options RAVM includes several input groups to adapt the tool to your preferences: • Localization: Multiple language options for all labels and dashboard text (e.g., English, Farsi, Turkish, Russian). • RSI Core Settings: RSI length, source, and upper/lower contextual zones (typically around 30 and 70). • Geometric Engine: Z-AoT sigma thresholds, confirmation ratios, and normalization window multiplier. These control how sensitive the script is to RSI angle-of-turn events. • Volume Engine: Choice between geometric approximation and intrabar up/down volume, Z-Score thresholds for volume expansion, and related parameters. • Visual Interface: Toggles for smart labels, dashboard table, font sizes, dashboard position, and color themes for bullish, bearish, and warning states. Disclaimer RSI Analytic Volume Matrix is provided for educational and research purposes only. It does not constitute financial advice and is not a signal generator. Any trading decisions you make based on this tool, or any other, are entirely your own responsibility. Always consider your own risk management rules and conduct your own analysis.
Indicador Pine Script®
por ata_sabanci
4
EGX30 Advance/Decline Line 📈 EGX30 Advance/Decline Line Indicator: Overview and Usage The EGX30 Advance/Decline Line indicator is a comprehensive tool designed to analyze the market breadth and sentiment of the EGX30 index by aggregating and visualizing statistics from its 29 component stocks. It goes beyond simple price action to provide deeper insights into the underlying strength or weakness of the index's movers. This script allows users to select from five primary metrics and includes advanced features like automatic parameter configuration based on the chart's timeframe and a detailed information table summarizing the day's market activity. Key Features and Available Metrics You can select one of the following primary metrics from the 'Select Metric' dropdown menu: 1. Advance/Decline Line (A/D Line): Plots the cumulative total of Net Advances (Advancing Issues - Declining Issues). It is used to confirm the index's trend or warn of divergences, where the index is rising but the A/D line is falling (suggesting fewer stocks are participating in the rally). Includes a Zero Line and a configurable Simple Moving Average (SMA). 2. McClellan Oscillator (MCC): A breadth oscillator based on the difference between two Exponential Moving Averages (EMAs) of the Advance/Decline Ratio. It measures the speed and direction of market breadth momentum. Includes a Buy Climax (0.1) and Sell Climax (-0.1) dotted lines to identify overbought/oversold conditions. 3. Arms Index (TRIN - TRading INdex): A volume-based oscillator that compares the ratio of Advancing Issues/Declining Issues to the ratio of Advancing Volume/Declining Volume. A reading above 1.0 (Neutral Level) suggests selling pressure (Declining Volume is relatively high), while a reading below 1.0 suggests buying pressure (Advancing Volume is relatively high). Includes a Neutral Level (1.0) and Upper/Lower Bands based on Standard Deviation to identify Overbought/Oversold extremes. 4. Total Volume: Plots the aggregated total volume for all 29 EGX30 component stocks. Includes a SMA for trend comparison. 5. Total Liquidity: Plots the aggregated total traded value (Price * Volume) for all 29 component stocks. A measure of overall capital movement in the index components. Includes a SMA for trend comparison. ⚙️ Configuration Settings The indicator includes two primary configuration groups: Timeframe Configuration ▶️ Enable Automatic Timeframe Configuration: When enabled (default), the script automatically optimizes the lookback lengths for the Moving Averages (MA), McClellan Oscillator, and TRIN based on whether the chart is set to an Intraday, Daily, or Weekly timeframe. ⚙️ Manual Overrides: Disable the automatic configuration to manually set the lengths for MA Length, McClellan Fast EMA, McClellan Slow EMA, and TRIN Lookback. Table Settings The indicator displays a table in the top-right corner summarizing key market breadth statistics. Number of Top Contributors: Sets the number of top stocks (up to 29) to display in the table. Show Top Contributors (Performance): Shows the stocks with the largest absolute index-weighted contribution to the EGX30's movement. Show Top Contributors (Volume): Shows the stocks with the highest traded value (liquidity), displayed as a percentage of the total traded value. The table also provides a persistent summary of: Advancing, Declining, and Unchanged Issues. Net Advancements (unless TRIN is selected). Net Volume % and Net Liquidity %. Mode-specific statistics like Total Volume/Liquidity or Advancing/Declining Volume.
Indicador Pine Script®
por MarkitTick