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Relative Strength Index (RSI)

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.
Pine Script® indicator
by captain_ua
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. ---
Pine Script® indicator
by WinningCircle300
1
RSI_RDRSI_RD - RSI Divergence Detector (Ryan DeBraal) This script plots a standard RSI along with advanced automatic divergence detection. It identifies four types of divergences using pivot logic and configurable lookback windows. Signals appear directly on the RSI line as plotted marks and labels. FEATURES - Standard RSI with user-defined length and source. - Midline (50), overbought (70), and oversold (30) levels with shaded background. - Automatic detection of: • Regular Bullish Divergence • Regular Bearish Divergence • Hidden Bullish Divergence • Hidden Bearish Divergence - Each divergence type can be toggled on/off individually. - Pivot-based detection using left/right lookback lengths. - Range filter (bars since pivot) to avoid stale or invalid divergences. - Colored markers and labels placed exactly on pivot points. - Alerts for all four divergence conditions. PURPOSE This indicator makes RSI divergence trading systematic and visual. It highlights when price action disagrees with RSI momentum — often signaling exhaustion, reversal setups, or continuation opportunities depending on the divergence type. Ideal for combining with trend filters, VWAP, or ORB structures.
Pine Script® indicator
by ryandebraal
RSI Risk | AlgoFy TraderRSI Risk | AlgoFy Trader Overview The RSI Risk | AlgoFy Trader is a trading system that combines RSI-based entry signals with automated capital management. This strategy identifies potential momentum shifts while controlling risk through calculated position sizing. Key Features Dynamic Risk Management: Fixed Risk Per Trade: Users set maximum risk percentage per trade. Automatic Position Sizing: Calculates position size based on stop-loss distance. Capital Protection: Limits each trade's risk to user-defined percentage. RSI Entry System: Momentum Detection: Uses RSI crossovers above/below defined thresholds. Clear Signals: Provides long/short entries on momentum transitions. Multiple Exit Layers: Dynamic Stop Loss: Stop based on recent price structure. Fixed Safety Stop: Optional percentage-based stop loss. Partial Take Profit: Optional early profit-taking. Trailing Stop: Optional dynamic profit protection. Performance Tracking: Trade Statistics: Tracks win/loss streaks and performance metrics. Monthly Dashboard: Shows monthly/yearly P&L with equity views. Trade Details: Displays risk percentage and position size. How It Works Signal Detection: Monitors RSI for crossover events. Risk Calculation: Determines stop-loss based on recent volatility. Position Sizing: Calculates exact position to match risk percentage. Example: Account: $10,000 | Risk: 2% ($200 max) Stop loss at 4% distance Position size: $5,000 Result: 4% loss on $5,000 = $200 (2% of account) Recommended Settings Risk: 1-2% per trade Enable fixed stop at 3-4% Consider trailing stop activation This script provides disciplined RSI trading with automated risk control, adjusting exposure while maintaining strict risk limits.
Pine Script® strategy
by AlgoFyTrader
4
Relative Strength vs Index - Joe v2This Indicator compares the relative strength of a ticker versus a reference index (QQQ/SPY), offering different calculation modes to capture performance or momentum differences. Calculation Modes Each mode analyzes the ticker’s performance against the index in a different way: 1. Moving Averages #1 (DEFAULT) Compares the performance of the ticker relative to the index using the percentage distance from the moving average. This absolute deviation method may result in larger swings when price is far from the MA, offering a more sensitive view of divergence. 2. Moving Averages #2 Compares the performance of the ticker relative to the index using the ratio of price to moving average. This relative ratio method provides a smoother, proportional comparison and tends to produce stable values even when prices are far from the moving average. 3. % Based Compares the percentage change in price since the session’s start time (adjustable) for both the ticker and the index. Use case: Quick, simple snapshot of relative performance. 4. % Based - Bar-By-Bar It compares the percentage change of the ticker from the previous bar to the percentage change of the index from the previous bar, and expresses the result as a relative strength percentage. It essentially answers: "Did the ticker move more (up or down) than the index in this bar?" 5. Rate of Change (ROC) Compares the rate of change over a user-defined period. Optionally normalizes using ATR ratios to adjust for volatility. Use case: Measures price momentum relative to the index. 6. RSI (Relative Strength Index) Compares the RSI values of the ticker and index. Effect: Highlights differences in momentum strength, expressed as a percentage difference. ------------------------------------------------------------------- ATR Normalization (Very Important) You can normalize the results of any mode using the Daily ATR of the ticker. This adjusts the output to account for the ticker's volatility, helping distinguish between meaningful moves and normal noise. This is very important as every ticker have its own daily Average True Range (Typically movement in any given day) ------------------------------------------------------------------- Trading Ideas This indicator should not be used as the sole signal to enter trades; it works best when combined with your other trading signals. As shown on the chart, at the open, the ticker was stronger than the index and initially moved upward. However, this strength eventually turned into weakness, and the ticker trended downward. Always keep a chart of the index open to monitor overall market behavior alongside your ticker. It is well known that stocks generally follow the index. However, if a stock has news or specific reasons to move independently, knowing whether it is stronger or weaker than the index provides valuable insight. Tip: If a stock is trading stronger than the index while the index is moving downward, once the index reverses and moves upward, the stock is likely to move with even greater strength, assuming it remains correlated with the index. Monitoring both the index and the stock together helps identify these opportunities. ------------------------------------------------------------------- Important Companion Indicator: Correlation Tracker - Jv2 (Available From my Scripts) The Correlation Tracker is a powerful tool designed to measure, visualize, and classify the correlation between a symbol and a reference index (QQQ/SPY). It provides an intuitive and customizable way to understand whether a ticker moves with, against, or independently from the market. It classifies correlation strength into seven categories (from strong negative to strong positive) and highlights them using color-coded visuals, labels, meters, and optional background zones. It is another part of the same puzzle and both should be used at the same time. One measuring relative strength, and the other correlation.
Pine Script® indicator
by flamingstudios
Real Relative Strength Indicator### What is RRS (Real Relative Strength)? RRS is a volatility-normalized relative strength indicator that shows you – in real time – whether your stock, crypto, or any asset is genuinely beating or lagging the broader market after adjusting for risk and volatility. Unlike the classic “price ÷ SPY” line that gets completely fooled by volatility regimes, RRS answers the only question that actually matters to professional traders: “Is this ticker moving better (or worse) than the market on a risk-adjusted basis right now?” It does this by measuring the excess momentum of your ticker versus a benchmark (SPY, QQQ, BTC, etc.) and then dividing that excess by the average volatility (ATR) of both instruments. The result is a clean, centered-around-zero oscillator that works the same way in calm markets, crash markets, or parabolic bull runs. ### How to Use the RRS Indicator (Aqua/Purple Area Version) in Practice The indicator is deliberately simple to read once you know the rules: Positive area (aqua) means genuine outperformance. Negative area (purple) means genuine underperformance. The farther from zero, the stronger the leadership or weakness. #### Core Signals and How to Trade Them - RRS crossing above zero → one of the highest-probability long signals in existence. The asset has just started outperforming the market on a risk-adjusted basis. Enter or add aggressively if price structure agrees. - RRS crossing below zero → leadership is ending. Tighten stops, take partial or full profits, or flip short if you trade both sides. - RRS above +2 (bright aqua area) → clear leadership. This is where the real money is made in bull markets. Trail stops, add on pullbacks, let winners run. - RRS below –2 (bright purple area) → clear distribution or capitulation. Avoid new longs, consider short entries or protective puts. - Extreme readings above +4 or below –4 (background tint appears) → rare, very high-conviction moves. Treat these like once-a-month opportunities. - Divergence (not plotted here, but easy to spot visually): price making new highs while the aqua area is shrinking → distribution. Price making new lows while the purple area is shrinking → hidden buying and coming reversal. #### Best Settings by Style and Asset Class For stocks and ETFs: keep benchmark as SPY (or QQQ for tech-heavy names) and length 14–20 on daily/4H charts. For crypto: change the benchmark to BTCUSD (or ETHUSD) immediately — otherwise the reading is meaningless. Length 10–14 works best on 1H–4H crypto charts because volatility is higher. For day trading: drop length to 10–12 and use 15-minute or 5-minute charts. Signals are faster and still extremely clean. #### Highest-Edge Setups (What Actually Prints Money) - RRS crosses above zero while price is still below a major moving average (50 EMA, 200 SMA, etc.) → early leadership, often catches the exact bottom of a new leg up. - RRS already deep aqua (+3 or higher) and price pulls back to support without RRS dropping below +1 → textbook add-on or re-entry zone. - RRS deep purple and suddenly turns flat or starts curling up while price is still falling → hidden accumulation, usually the exact low tick. That’s it. Master these few rules and the RRS becomes one of the most powerful edge tools you will ever use for rotation trading...
Pine Script® indicator
by EMA34TRADER
RSI-ma Wave Sensor (Free ver.)RSI-ma Wave Sensor is a 3-line RSI-based oscillator (Main / Middle / Wave) that shows trend direction, momentum and higher timeframe context in a single pane. Compared with many classic MA/RSI tools it aims to: • react with very low lag (almost real-time feeling) • detect trend direction early • avoid “overbought/oversold sticking” so you can hold calmly until the trend really starts to end This Free version is a DAY trade preset for the 15m chart: • Main = 14, Middle = EMA 9, Wave = EMA 28 • 1h higher timeframe wave sensor included • good for learning / testing how to read trends with RSI waves
Pine Script® indicator
by DuccaFX
1
RSI cyclic smoothed ProCyclic Smoothed Relative Strength Indicator - Pro Version The cyclic smoothed RSI indicator is an enhancement of the classic RSI, adding additional smoothing according to the market vibration, adaptive upper and lower bands according to the cyclic memory and using the current dominant cycle length as input for the indicator. The cRSI is used like a standard indicator. The chart highlights trading signals where the signal line crosses above or below the adaptive lower/upper bands. It is much more responsive to market moves than the basic RSI. The indicator uses the dominant cycle as input to optimize signal, smoothing and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Chapter 4 "Fine tuning technical indicators" of the book "Decoding the Hidden Market Rhythm, Part 1" available at your favorite book store. Info: Pro Version This is the actively maintained and continuously enhanced edition of my free, open-source indicator “RSI Cyclic Smoothed v2” which was recognized with a TradingView Editors’ Pick. The Pro Version will remain fully up to date with the latest Pine Script standards and will receive ongoing refinements and feature improvements, all while preserving the core logic and intent of the original tool. The legacy version will continue to be available for code review and educational purposes, but it will no longer receive updates. The legacy open-source version is here Pro Features V1: 1) Leveraging multi-timeframe analysis Indicator can be used on one chart by using different time frames at the same time. Read more on TradingView here . 2) Scoring feature added for scanning and filtering This indicator now provides four distinct scoring states for both bullish and bearish conditions, making it fully compatible with the TradingView Screener . Each score reflects a specific market phase based on RSI behavior, slope, and crossover signals. Bullish States (Positive Scores) +1 – Bull Exhaustion: Price is above the upper threshold and still rising (upsloping). +2 – Bull Fatigue: Price is above the upper threshold but losing momentum (downsloping). +3 – Bull Exit: A fresh downward crossover has occurred. +4 – Recent Bull Exit: A downward crossover occurred within the recent lookback window. Bearish States (Negative Scores) –1 – Bear Exhaustion: Price is below the lower threshold and still declining (downsloping). –2 – Bear Fatigue: Price is below the lower threshold but starting to turn upward (upsloping). –3 – Bear Exit: A fresh upward crossover has occurred. –4 – Recent Bear Exit: An upward crossover occurred within the recent lookback window. The scoring states are shown in the indicator status panel when plotting the indicator on the chart. For a Screener run, use a generic cycle length setting. How to determine the current active cycle length? You can use the following additional tools to fine-tune the current dominant cycle length: 1. The advanced dyanmic Cycle Spectrum Scanner 2. The free Detremded Market Rhythm Oscillator
Pine Script® indicatorPaid script
by StockMarketCycles
Volume Trabar Rank PRO🔑 Key Concept The indicator uses a rank-based system that counts the number of timeframe periods (lengths) where price has exceeded standard deviation thresholds. The higher the absolute rank value, the more extreme the market condition — indicating stronger potential reversal zones. ⚙️ How The Indicator Works The indicator operates on a unique multi-length Bollinger Band analysis system: 📏 Multiple Length Analysis 📊 Rank Calculation Counts how many bands the price has broken through to generate a rank value from -18 to +18 🎨 Visual Coding Color-coded histogram and threshold lines for quick visual interpretation Ranking System Explained : Rank Value Signal Strength Typical Action +8 to +18 Very Strong Consider Selling / Taking Profit +7 Strong Watch for reversal signals +4 to +6 Moderate Caution for new longs +1 to +3 Weak Monitor market conditions 0 Neutral No extreme condition -1 to -3 Weak Monitor market conditions -4 to -6 Moderate Look for entry opportunities -7 Strong Strong buy signal -8 to -18 Very Strong High probability buy zone Advanced Features ✅Filter #1: Volume Weighting ✅Filter #2: Outlier Filtering (IQR) ✅Filter #3: Anti-Repaint Logic ⏰ Multi-Timeframe Analysis The indicator can simultaneously monitor up to 4 different timeframes (default: 1m, 5m, 15m, 30m), allowing traders to: Identify confluence zones where multiple timeframes show the same signal Spot divergences between timeframes for better timing Generate "READY" signals when all MTF conditions align 🎯 MTF Ready Signal READY BUY: Triggers when MTF #1, #2, and #3 all show oversold ranks ≤ -5 READY SELL: Triggers when MTF #1, #2, and #3 all show overbought ranks ≥ +5 These signals indicate strong multi-timeframe alignment, providing high-probability trading opportunities. You can see here : 🛠️ How This Indicator Was Created Accuracy Improvements (v3.0) Volume Weighting: Replaced SMA with VWMA for better accuracy Outlier Filtering: Added IQR-based filtering to remove false signals from price spikes ✨ Key Advantages 🚫 No Repainting Anti-repaint logic ensures signals don't disappear or change after bar closure, providing reliable backtesting and live trading signals. 📊 Multi-Timeframe Simultaneously monitor up to 4 timeframes, identifying confluence and divergence for better timing and higher probability trades. 🎯 Volume-Weighted Uses actual volume data to weight calculations, making signals more representative of true market sentiment and participation. 🔬 Outlier Filtered IQR-based filtering removes false signals from flash crashes, spikes, and other anomalous price action that doesn't represent real conditions. ⚡ Performance Optimized Carefully tuned to balance accuracy with speed. Default settings optimize for the top 10% extreme conditions without lag. 🎨 Highly Customizable Over 30 input parameters allow complete customization of lengths, thresholds, colors, and display options to match your trading style. I just also add : 5M SCALPING OPTIMAL SETTINGS Alert 🔥 Extreme Signal (Buy/Sell) - Priority HIGH and ⭐ Mid-Term Signal (Buy/Sell) - Priority NORMAL MTF Blending Options ( 8 Blending Modes ) Rank Occurrences Table. Bull and Bear divergence ------- To get access to this script you have to be a member, or DM on TradingView.
Pine Script® indicator
by tbdanielhr
1
Trendforduló Radar STRAT v4.1.3Trend Reversal Radar is a proprietary indicator that examines potential turning points in market trends. It combines data from multiple time frames, support and resistance levels, and volume movements to provide visual signals to traders. Its purpose is not to provide trading advice, but to complement technical analysis and provide more confident decision support.- A Trendforduló Radar egy saját fejlesztésű indikátor, amely a piaci trendek lehetséges fordulópontjait vizsgálja. Több idősík adatait, támasz–ellenállás szinteket és volumenmozgásokat kombinálva ad vizuális jelzést a kereskedőnek. A célja nem a kereskedési tanácsadás, hanem hogy kiegészítse a technikai elemzést és magabiztosabb döntéstámogatást adjon.
Pine Script® strategy
by Adimadi
Marumaroo's RSI + MFI (가격과 거래량의 이중 체크)매매할 때 RSI랑 MFI를 같이 보는데, 지표창 두 개 띄우기 귀찮아서 하나로 합쳤습니다. RSI(가격)만 보면 가짜 반등에 속을 때가 많은데, MFI(거래량)랑 같이 보면 다이버전스나 휩소 걸러내기가 훨씬 수월합니다. 특징: 보기 편함: RSI는 빨강, MFI는 회색입니다. 배경색 알림: 과매수(80 이상) 구간은 빨간 배경, 과매도(20 이하) 구간은 초록 배경이 뜹니다. 한눈에 파악하기 좋습니다. 복잡한 기능 다 빼고 깔끔하게 만들었으니 필요하신 분 쓰세요. I combined RSI and MFI into a single chart to save screen space and filter out fake signals. Checking Money Flow (MFI) alongside Price Action (RSI) helps in spotting divergences and avoiding traps. Features: Clean Look: RSI is Red, MFI is Gray. Background Colors: automatically highlights Overbought (>80) zones in Red and Oversold (<20) zones in Green. Simple and lightweight script. Hope it helps!
Pine Script® indicator
by xici3077
Relative Strength Heatmap [BackQuant]Relative Strength Heatmap A multi-horizon RSI matrix that compresses 20 different lookbacks into a single panel, turning raw momentum into a visual “pressure gauge” for overbought and oversold clustering, trend exhaustion, and breadth of participation across time horizons. What this is This indicator builds a strip-style heatmap of 20 RSIs, each with a different length, and stacks them vertically as colored tiles in a single pane. Every tile is colored by its RSI value using your chosen palette, so you can see at a glance: How many “fast” versus “slow” RSIs are overbought or oversold. Whether momentum is concentrated in the short lookbacks or spread across the whole curve. When momentum extremes cluster, signalling strong market pressure or exhaustion. On top of the tiles, the script plots two simple breadth lines: A white line that counts how many RSIs are above 70 (overbought cluster). A black line that counts how many RSIs are below 30 (oversold cluster). This turns a single symbol’s RSI ladder into a compact “market pressure gauge” that shows not only whether RSI is overbought or oversold, but how many different horizons agree at the same time. Core idea A single RSI looks at one length and one timescale. Markets, however, are driven by flows that operate on multiple horizons at once. By computing RSI over a ladder of lengths, you approximate a “term structure” of strength: Short lengths react to immediate swings and very recent impulses. Medium lengths reflect swing behaviour and local trends. Long lengths reflect structural bias and higher timeframe regime. When many lengths agree, for example 10 or more RSIs all above 70, it suggests broad participation and strong directional pressure. When only a few fast lengths stretch to extremes while longer ones stay neutral, the move is more fragile and more likely to mean-revert. This script makes that structure visible as a heatmap instead of forcing you to run many separate RSI panes. How it works 1) Generating RSI lengths You control three parameters in the calculation settings: RS Period – the base RSI length used for the shortest strip. RSI Step – the amount added to each successive RSI length. RSI Multiplier – a global scaling factor applied after the step. Each of the 20 RSIs uses: RSI length = round((base_length + step × index) × multiplier) , where the index goes from 0 to 19. That means: RSI 1 uses (len + step × 0) × mult. RSI 2 uses (len + step × 1) × mult. … RSI 20 uses (len + step × 19) × mult. You can keep the ladder dense (small step and multiplier) or stretch it across much longer horizons. 2) Heatmap layout and grouping Each RSI is plotted as an “area” strip at a fixed vertical level using histbase to stack them: RSI 1–5 form Group 1. RSI 6–10 form Group 2. RSI 11–15 form Group 3. RSI 16–20 form Group 4. Each group has a toggle: Show only Group 1 and 2 if you care mainly about fast and medium horizons. Show all groups for a full spectrum from very short to very long. Hide any group that feels redundant for your workflow. The actual numeric RSI values are not plotted as lines. Instead, each strip is drawn as a horizontal band whose fill color represents the current RSI regime. 3) Palette-based coloring Each tile’s color is driven by the RSI value and your chosen palette. The script includes several palettes: Viridis – smooth green to yellow, good for subtle reading. Jet – strong blue to red sequence with high contrast. Plasma – purple through orange to yellow. Custom Heat – cool blues to neutral grey to hot reds. Gray – grayscale from white to black for minimalistic layouts. Cividis, Inferno, Magma, Turbo, Rainbow – additional scientific and rainbow-style maps. Internally, RSI values are bucketed into ranges (for example, below 10, 10–20, …, 90–100). Each bucket maps to a unique colour for that palette. In all schemes, low RSI values are mapped to the “cold” or darker side and high RSI values to the “hot” or brighter side. The result is a true momentum heatmap: Cold or dark tiles show low RSI and oversold or compressed conditions. Mid tones show neutral or mid-range RSI. Warm or bright tiles show high RSI and overbought or stretched conditions. 4) Bull and bear breadth counts All 20 RSI values are collected into an array each bar. Two counters are then calculated: Bull count – how many RSIs are above 70. Bear count – how many RSIs are below 30. These are plotted as: A white line (“RSI > 70 Count”) for the overbought cluster. A black line (“RSI < 30 Count”) for the oversold cluster. If you enable the “Show Bull and Bear Count” option, you get an immediate reading of how many of the 20 horizons are stretched at any moment. 5) Cluster alerts and background tagging Two alert conditions monitor “strong cluster” regimes: RSI Heatmap Strong Bull – triggers when at least 10 RSIs are above 70. RSI Heatmap Strong Bear – triggers when at least 10 RSIs are below 30. When one of these conditions is true, the indicator can tint the background of the chart using a soft version of the current palette. This visually marks stretches where momentum is extreme across many lengths at once, not just on a single RSI. What it plots In one oscillator window, the indicator provides: Up to 20 horizontal RSI strips, each representing a different RSI length. Color-coded tiles reflecting the current RSI value for each length. Group toggles to show or hide each block of five RSIs. An optional white line that counts how many RSIs are above 70. An optional black line that counts how many RSIs are below 30. Optional background highlights when the number of overbought or oversold RSIs passes the strong-cluster threshold. How it measures breadth and pressure Single-symbol breadth Breadth is usually defined across a basket of symbols, such as how many stocks advance versus decline. This indicator uses the same concept across time horizons for a single symbol. The question becomes: “How many different RSI lengths are stretched in the same direction at once?” Examples: If only 2 or 3 of the shortest RSIs are above 70, bull count stays low. The move is fast and local, but not yet broadly supported. If 12 or more RSIs across short, medium and long lengths are above 70, the bull count spikes. The move has broad momentum and strong upside pressure. If 10 or more RSIs are below 30, bear count spikes and you are in a broad oversold regime. This is breadth of momentum within one market. Market pressure gauge The combination of heatmap tiles and breadth lines acts as a pressure gauge: High bull count with warm colors across most strips indicates strong upside pressure and crowded long positioning. High bear count with cold colors across most strips indicates strong downside pressure and capitulation or forced selling. Low counts with a mixed heatmap indicate neutral pressure, fragmented flows, or range-bound conditions. You can treat the strong-cluster alerts as “extreme pressure” signals. When they fire, the market is heavily skewed in one direction across many horizons. How to read the heatmap Horizontal patterns (through time) Look along the time axis and watch how the colors evolve: Persistent hot tiles across many strips show sustained bullish pressure and trend strength. Persistent cold tiles across many strips show sustained bearish pressure and weak demand. Frequent flipping between hot and cold colours indicates a choppy or mean-reverting environment. Vertical structure (across lengths at one bar) Focus on a single bar and read the column of tiles from top to bottom: Short RSIs hot, long RSIs neutral or cool: early trend or short-term fomo. Price has moved fast, longer horizons have not caught up. Short and long RSIs all hot: mature, entrenched uptrend. Broad participation, high pressure, greater risk of blow-off or late-entry vulnerability. Short RSIs cold but long RSIs mid to high: pullback in a higher timeframe uptrend. Dip-buy and continuation setups are often found here. Short RSIs high but long RSIs low: countertrend rallies within a broader downtrend. Good hunting ground for fades and short entries after a bounce. Bull and bear breadth lines Use the two lines as simple, numeric breadth indicators: A rising white line shows more RSIs pushing above 70, so bullish pressure is expanding in breadth. A rising black line shows more RSIs pushing below 30, so bearish pressure is expanding in breadth. When both lines are low and flat, few horizons are extreme and the market is in mid-range territory. Cluster zones When either count crosses the strong threshold (for example 10 out of 20 RSIs in extreme territory): A strong bull cluster marks a broadly overbought regime. Trend followers may see this as confirmation. Mean-reversion traders may see it as a late-stage or blow-off context. A strong bear cluster marks a broadly oversold regime. Downtrend traders see strong pressure, but the risk of sharp short-covering bounces also increases. Trading applications Trend confirmation Use the heatmap and breadth lines as a trend filter: Prefer long setups when the heatmap shows mostly mid to high RSIs and the bull count is rising. Avoid fresh shorts when there is a strong bull cluster, unless you are specifically trading exhaustion. Prefer short setups when the heatmap is mostly low RSIs and the bear count is rising. Avoid aggressive longs when a strong bear cluster is active, unless you are trading reflexive bounces. Mean-reversion timing Treat cluster extremes as exhaustion zones: Look for reversal patterns, failed breakouts, or order flow shifts when bull count is very high and price starts to stall or diverge. Look for reflexive bounce potential when bear count is very high and price stops making new lows or shows absorption at the lows. Use the palette and counts together: hot tiles plus a peaking white line can mark blow-off conditions, cold tiles plus a peaking black line can mark capitulation. Regime detection and risk toggling Use the overall shape of the ladder over time: If upper strips stay warm and lower strips stay neutral or warm for extended periods, the market is in an uptrend regime. You can justify higher risk for long-biased strategies. If upper strips stay cold and lower strips stay neutral or cold, the market is in a downtrend regime. You can justify higher risk for short-biased strategies or defensive positioning. If colours and counts flip frequently, you are likely in a range or choppy regime. Consider reducing size or using more tactical, short-term strategies. Multi-horizon synchronization You can think of each RSI length as a proxy for a different “speed” of the same market: When only fast RSIs are stretched, the move is local and less robust. When fast, medium and slow RSIs align, the move has multi-horizon confirmation. You can require a minimum bull or bear count before allowing your main strategy to engage. Spotting hidden shifts Sometimes price appears flat or drifting, but the heatmap quietly cools or warms: If price is sideways while many hot tiles fade toward neutral, momentum is decaying under the surface and trend risk is increasing. If price is sideways while many cold tiles climb back toward neutral, selling pressure is decaying and the tape is repairing itself. Settings overview Calculation Settings RS Period – base RSI length for the shortest strip. RSI Step – the increment added to each successive RSI length. RSI Multiplier – scales all generated RSI lengths. Calculation Source – the input series, such as close, hlc3 or others. Plotting and Coloring Settings Heatmap Color Palette – choose between Viridis, Jet, Plasma, Custom Heat, Gray, Cividis, Inferno, Magma, Turbo or Rainbow. Show Group 1 – toggles RSI 1–5. Show Group 2 – toggles RSI 6–10. Show Group 3 – toggles RSI 11–15. Show Group 4 – toggles RSI 16–20. Show Bull and Bear Count – enables or disables the two breadth lines. Alerts RSI Heatmap Strong Bull – fires when the number of RSIs above 70 reaches or exceeds the configured threshold (default 10). RSI Heatmap Strong Bear – fires when the number of RSIs below 30 reaches or exceeds the configured threshold (default 10). Tuning guidance Fast, tactical configurations Use a small base RS Period, for example 2 to 5. Use a small RSI Step, for tight clustering around the fast horizon. Keep the multiplier near 1.0 to avoid extreme long lengths. Focus on Group 1 and Group 2 for intraday and short-term trading. Swing and position configurations Use a mid-range RS Period, for example 7 to 14. Use a moderate RSI Step to fan out into slower horizons. Optionally use a multiplier slightly above 1.0. Keep all four groups enabled for a full view from fast to slow. Macro or higher timeframe configurations Use a larger base RS Period. Use a larger RSI Step so the top of the ladder reaches very slow lengths. Focus on Group 3 and Group 4 to see structural momentum. Treat clusters as regime markers rather than frequent trading signals. Notes This indicator is a contextual tool, not a standalone trading system. It does not model execution, spreads, slippage or fundamental drivers. Use it to: Understand whether momentum is narrow or broad across horizons. Confirm or filter existing signals from your primary strategy. Identify environments where the market is crowded into one side. Distinguish between isolated spikes and truly broad pressure moves. The Relative Strength Heatmap is designed to answer a simple but powerful question: “How many versions of RSI agree with what I am seeing on the chart?” By compressing those answers into a single panel with clear colour coding and breadth lines, it becomes a practical, visual gauge of momentum breadth and market pressure that you can overlay on any trading framework.
Pine Script® indicator
by BackQuant
3
Magic Equity Trend & PivotsMagic Equity Trend & Pivots is a robust technical analysis engine designed specifically for equity and index traders. It serves as a comprehensive "Trend & Level" companion, combining institutional Pivot Points with a proprietary EMA trend filtering system to identify high-probability setups. How the Magic Works This indicator simplifies complex market data into a clear visual workflow: 1. The Magic Equity Trend (Trend Identification) The script uses a weighted system to determine the dominant market direction: Bullish Trend: Price holds above the primary Trend SMA + a Volatility Buffer (Green Zone). Bearish Trend: Price is rejected below the Trend SMA - Buffer (Red Zone). No-Trade Zone: When the price is trapped inside the buffer (Gray Channel), the trend is considered weak or ranging. 2. Institutional Pivot Points Price often reacts at hidden levels. This tool calculates and overlays these levels automatically: Multi-Type Support: Choose between Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla pivots. Timeframe Smart-Switching: Use fixed timeframes (e.g., Weekly Pivots on a Daily chart) or let the "Auto" mode decide the best reference period for your current view. Historical Mode: Unlike standard pivots, these can be back-tested visually to see how prices respected levels in the past. 3. Precision Entry & Exit Logic Trade signals are not random; they are based on a strict confluence of "Magic" factors: Entry Signal: Requires Trend Alignment + Fast/Slow EMA Crossover + RSI Strength (>60) + Relative Volume Spike. Top-Up (Add-on): Detects low-risk opportunities to add to a position when price pulls back to the EMA10/20 during a strong trend. Two-Stage Exit: Secures profits using either an ATR Trailing Stop or an Intraday RSI Breakdown, depending on your settings. 4. Divergence & Momentum RSI Divergence: Automatically plots Regular Bullish and Bearish divergences to warn of potential reversals at tops or bottoms. Darvas Boxes: Visualizes consolidation ranges to help identify breakouts. 5. Performance Dashboard A data table provides a snapshot of the asset's health: Mean Reversion: Measures the % distance from key EMAs (10, 20, 50). RVOL & ADR: Displays Relative Volume and Average Daily Range to gauge volatility. Performance Tracker: A theoretical summary table showing how the trend signals have performed over the last 1W, 1M, and 1Y periods. Settings & Customization Visuals: Fully customizable colors for the Trend Cloud, Pivots, and Backgrounds. Filters: Toggle specific filters (Volume, RSI, Trend Buffer) to adapt the sensitivity to different asset classes. Disclaimer: This tool is for educational purposes and technical analysis assistance only. Past performance displayed in the dashboard does not guarantee future results.
Pine Script® indicator
by rajupp
Magic Swing Suite: Trend, Pullback & Risk DashboardMagic Swing Suite: Trend, Pullback & Risk Dashboard This indicator is a complete Swing Trading System designed to identify high-probability trend continuation setups. It combines classic trend-following principles with a unique "3-Bar Retest" logic and provides a real-time Strategy Dashboard to help you manage positions without needing a separate strategy script. How it Works: The system looks for a "Confluence" of factors before generating a signal. It scores every bar out of 140 points based on the following criteria: Trend Alignment: Price must be above EMA 10, and EMA 10 must be above EMA 20. Momentum (RSI): RSI must be in the "Bullish Control Zone" (60-80) and above its SMA. Volume: Volume must be significantly higher than the average (1.5x by default). The "Magic" Retest: The script checks the last 2-5 bars to see if the price has pulled back to "kiss" the EMA 10. This ensures we are buying a dip in a trend, not chasing a top. Breakout Confirmation: Checks for Darvas Box breakouts and price position relative to Pivot R1. Features: 🎯 Virtual Strategy Dashboard: A table that mimics a strategy tester. It tracks Entry, Stop Loss (Trailing), Target 1, and Target 2 in real-time. 📊 Confluence Scorecard: A detailed table showing exactly why a signal was (or wasn't) generated (Trend, Retest, RSI, Volume, etc.). 🛡️ Risk Management: automatically calculates a Trailing Stop (EMA 10) and fixed Risk:Reward targets based on recent highs. 📉 Multi-Layered Overlays: Includes Auto-Pivots (Traditional, Fib, Woodie, etc.) and Darvas Boxes to identify support/resistance levels. How to Use: Wait for a Signal: "FULL BUY SIGNAL" (Green): All conditions are met, including a recent retest of the EMA. This is the highest probability setup. "BUY - NO RETEST" (Orange): Trend and momentum are strong, but price hasn't pulled back recently. Use caution, as this may be a breakout trade. Monitor the Dashboard: Once a trade is active, the dashboard will change to "IN POSITION." Follow the "Action" row. If the trend weakens, the Trailing Stop (EMA 10) will move up to protect profits. Targets: T1: Previous Swing High (or 5% if no high found). T2: 1:1.6 Risk/Reward extension. Settings: Volume Spike Factor: Adjust how much volume is needed to confirm a move. Default is 1.2. Retest Tolerance: Adjust how close the price needs to get to the EMA 10 to count as a "retest." Dashboard Toggles: You can hide the tables if you prefer a clean chart. Pivot Timeframes: customizable lookback for S/R levels. FAQ: Does this repaint? No. All signals trigger only on confirmed bars. Can I use this intraday? Yes. Works great from 5m to 1D. Are exits manual or automated? The indicator tracks SL, T1, and T2, and marks them on the chart. Does retest affect the buy signal? Retest is optional. The buy logic does not require it, but adds weight to the score. Disclaimer: This tool is for educational purposes only. The "Strategy Dashboard" is a simulation based on script calculations and does not execute real trades. Always manage your own risk.
Pine Script® indicator
by rajupp
Momentum Market Structure ProThis first indicator in the Beyond Market Structure Suite gives you clear market structure at a glance, with adaptive support & resistance zones. It's the only SMC-style indicator built from momentum highs & lows, as far as I know. It creates dynamic support & resistance zones that change strength and resize intelligently, and gives you timely alerts when price bounces from support/rejects from resistance. You’re free to use the provided entry and exit signals as a ready-to-use, self-contained strategy, or plug its structure into your existing system to sharpen your edge :  • Market structure bias may help improve a compatible system's win rate by taking longs only in bullish bias and shorts in bearish structure.  • Support/resistance can help trend traders identify inflection points, and help range traders define ranges. 🟩  HIGHLIGHTS  ⭐ Unique market structure with different characteristics than purely price-based models.  ⭐ Support and resistance created from only the extreme levels.  ⭐ Support & resistance zones adapt to remain relevant. Zones are deactivated when they become too weak.  ⭐ Long and short signals for a bounce from support/rejection from resistance. 🟩  WHY "MARKET STRUCTURE FIRST, ALWAYS"? "There is only one side to the stock market; and it is not the bull side or the bear side, but the right side." — Jesse Livermore, Reminiscences of a Stock Operator (1923) If the market is structurally against your trade, you're gonna have a bad time. So you must know what the market structure is before you plan your trade. The more precise and relevant your definition of market structure, the better. 🟩  HOW TO TRADE USING THIS INDICATOR (SIMPLE)  • Directional filter : The prevailing bias background can be used for any kind of trades you want to take. For example, you can long a bounce from support in a bullish market structure bias, or short a rejection from resistance in bearish bias.  • Entries : For more conservative entries, you could wait for a Candle Trend flip after a reaction from your chosen zone (see below for more about Candle Trend).  • Stops : The included running stop-loss level based on Average True Range (ATR) can be used for a stop-loss — set the desired multiplier, and use the level from the bar where you enter your trade.  • Take-profit : Similarly, you can set a Risk:Return-based take-profit target. Support and resistance zones can also be used as full or partial take-profit targets. See the Advanced section below for more ideas. 🟩  SIGNALS ⭐ ENTRIES You can enable signals and alerts for bounces from support and rejections from resistance (you'll get more signals using Adaptive mode). You can filter these by requiring corresponding market structure bias (it uses the bias you've already set for the background), and by requiring that Candle Trend confirm the move. I've slipped in my all-time favourite creation to this indicator: Candle Trend. When price makes a Simple Low pivot, the trend flips bullish. When price then makes a Simple High pivot, the trend flips bearish (see my Market Structure library for a full explanation). This tool is so simple, yet I haven't noticed it anywhere else. It shows short-term trends beautifully. I use it mainly as confirmation of a move. You can use it to confirm ANY kind of move, but here we use it for bounces from support/rejections from resistance. Note that the pivots and Zigzags are structure, not signals. ⭐ STOPS You can use the supplied running ATR-based stop level to find a stop-loss level that suits your trading style. Set the desired multiplier, and use the level from the bar where you enter your trade. ⭐ TAKE-PROFIT Similarly, you can set a take-profit target based on Risk:Return (R:R). If this setting is enabled, the indicator calculates the distance between the closing price and your configured stop, then multiplies that by the configured R:R factor to calculate an appropriate take-profit level. Note that while the stop line is reasonably smooth, the take-profit line varies much more, reflecting the fact that if price has moved away from your stop, the trade requires a greater move in order to hit a given R:R ratio. Since the indicator doesn't know where you were actually able to enter a position, add a ray using the drawing tool and set an alert if you want to be notified when price reaches your stop or target. 🟩  WHAT'S UNIQUE ABOUT THIS INDICATOR ⭐ MOMENTUM PIVOTS Almost all market structure indicators use simple Williams fractals. A very small number incorporate momentum, either as a filter or to actually derive the highs and lows. However, of those that derive pivots from momentum, I'm not aware of any that then create full market structure from it. ⭐ SUPPORT & RESISTANCE Some other indicators also adjust S/R zones after creation, some use volume in zone creation, some increase strength for overlap, a few merge zones together, and many use price interactions to classify zones. But my implementation differs from others, as far as I can tell after looking at many many indicators, in seven specific ways: + Zones are *created* from purely high-momentum pivots, not derived or filtered from simple Williams pivots (e.g. `ta.pivothigh()`). + Zones are *weakened* dynamically as well as strengthened. Many people know that S/R gets stronger if price rejects from it, but this is only half the story. Different price patterns strengthen *or weaken* zones. + We use *conviction-weighted candle patterns* to adjust strength. Not simply +1 for price touching the zone, but a set of single-bar and multi-bar patterns which all have different effects. + The rolling strength adjustments are all *moderated by volume*. The *relative volume* forms a part of each adjustment pattern. Some of our patterns reward strong volume, some punish it. + We do our own candle modelling, and the adjustment patterns take this into account. + We *resize* zones as a result of certain candle patterns ("indecision erodes, conviction defends"). + We shrink overlapping zones to their sum *and* add their strengths. 🟩  HOW TO TRADE USING THIS INDICATOR (ADVANCED) In addition to the ideas in the How to Trade Using This indicator (Simple) section above, here are some more ideas. You can use the market structure:  • As a bias for entries given by more reactive momentum resets, or indeed other indicators and systems.  • You could use a change in market structure to close a long-running trend-following position. You can use the distance from a potential entry to the CHoCH line as a filter to choose higher-potential trades in ranging assets. Confluence between market structure and your favourite trend indicator can be powerful. Multi timeframe analysis This is a bit of a rabbit hole, but you could use a split screen with this indicator on a higher timeframe (HTF) view of the same asset:  • If the 1D structure turns bullish, the next time that the 1H structure also flips bullish might be a good entry.  • Rejection from a HTF zone, confirmed by lower timeframe (LTF) structure, could be a good entry. None of this is advice. You need to master your own system, and especially know your own strengths and weaknesses, in order to be a successful trader. An indicator, no matter how cool, is not going to one-shot that process for you. In Adaptive mode, a skillful trader will be able to spot more opportunities to classify and use support and resistance than any algorithm, including mine, now that they've been automatically drawn for you. If you are doing historical analysis, note that the "Calculated bars" setting is set to a reasonably small number by default, which helps performance. Either increase this number (setting to zero means "use all the bars"), or use Bar Replay to examine further back in the chart's history. If you encounter errors or slow loading, reduce this number. 🟩  SUPPORT & RESISTANCE A support zone is an area where price is more likely to bounce, and a resistance zone is an area where price is more likely to reject. Marking these zones up on the chart is extremely helpful, but time-consuming. We create them automatically from only high-momentum areas, to cut noise and highlight the zones we consider most important. In Simple mode, we simply mark S/R zones from momentum and Implied pivots. We don't update them, just deactivate them if price closes beyond them. Use this mode if you're interested in only recent levels. In Adaptive mode, zones persist after they're traversed. Once the zones are created, we adjust them based on how price and volume interact with them. We display stronger zones with more opaque fills, and weaker zones with more transparent fills. To calculate strength, we first preprocess candles to take into account gaps between candles, because price movement after market is just as important in its own way. The preprocessing also redefines what constitutes upper and lower wicks, so as to better account for order flow and commitment. We use these modelled candle values, as well as their relative amplitude historically, rather than the raw OHLC for all calculations for interactions of price and zones. It's important to understand, when trying to figure out why the indicator strengthened or weakened a zone, that it sees fundamental price action in a different way to what is shown on standard chart candles (and in a way that can't easily be represented accurately on chart candles). Then, we strengthen or weaken , and resize support and resistance zones dynamically using different formulas for different events, based on principles including these:  • The close is the market's "vote", the momentum shift anchor.  • Defended penetrations reveal validated liquidity clusters.  • Markets contract to defended levels.  • "The wick is the fakeout, but the close tells you if institutions held the level." — ICT (Inner Circle Trader) Adaptive mode is more powerful, but you might need to tweak some of the Advanced Support & Resistance settings to get a comfortable number of zones on the chart. 🟩  MOMENTUM PIVOTS The building blocks of market structure are Highs and Lows — places where price hits a temporary extreme and reverses. All the indicators I could find that create full market structure do so from basic price pivots — Williams fractals, being the highest/lowest candle wick for N candles backwards and forwards (there are some notable first attempts on TradingView to use momentum to define pivots, but no full structure). "Highest/lowest out of N bars" is the almost universal method, but it also picks up somewhat arbitrary price movements. Recognising this, programmers and traders often use longer lookbacks to focus on the more significant Highs and Lows. This removes some noise, but can also remove detail. My indicator uses a completely different way of thinking about High and Low pivots. A High is where *momentum* peaks and falls back, and a low is where it dips and then recovers. While this is happening, we record the extremes in price, and use those prices as the High or Low pivot zones. This deliberately picks out different, more meaningful pivots than any purely price-based approach, helping you focus on the swings that matter. By design, it also ignores some stray wicks and other price action that doesn't reflect significant momentum. Price action "purists" might not like this at first, but remember, ultimately we want to trade this. Check and see which levels the market later respects. It's very often not simply the numerically higher/lower local maxima and minima, but the levels that held meaning, interpreted here through momentum. The first-release version uses the humble Stochastic as the structural momentum metric. Yes, I know — it's overlooked by most people, but that's because they're using it wrong. Stochastic is a full-range oscillator with medium excursions, unlike RSI, say, which is a creeping oscillator with reluctant resets. This makes Stoch (at the default period of 14) not quite reactive enough for on-the-ball momentum reset entry signals, but close to perfect (no metric is 100%) for structural pivots. Stochastic is also a solid choice for structure because divergences are rare and not usually very far away in terms of price. More reactive momentum metrics such as Stochastic RSI produce very noisy structure that would take a whole extra layer of interpreting (see Further Research, below). For these reasons, I may or may not add other options for momentum. In the initial release, I've added smoothed RSI as an alternative just to show it's possible, which takes even longer than Stochastic to migrate from one extreme to another, creating an interesting, longer-term structure. 🟩  IMPLIED PIVOTS We want pivots to mark important price levels so that we can compute market direction and support & resistance zones from them. In this context, we see that some momentum metrics, and Stochastic in particular, tend to give multiple consecutive resets in the same direction. In other words, we get High followed by High, or Low followed by Low, which does not give us the chance to create properly detailed structure. To remedy this, we simply take the most extreme price action between two same-direction pivots, and create an Implied pivot out of it, after the second same-direction pivot is created. Obviously these pivots are created very late. Recalling why we wanted them, we realise that this is fine. By definition , price has not exceeded the Implied Pivot level when they're created. So they show us an interesting level that is yet untested. Implied Pivots are thus created indirectly by momentum but defined directly by price. They are for structure only. We choose not to give them a Dow type (HH, HL, LH, LL) and not to include them in the Main Zigzag to emphasise their secondary nature. However, Implied Pivots are not "internal" or "minor" pivots. There is no such concept in the current Momentum Market Structure model. If you want less responsive, more long-term structure, you can turn Implied Pivots off. 🟩  DOW STRUCTURE Dow structure is the simplest form of market structure — Higher Highs (HHs) and Higher Lows (HLs) is an uptrend (showing buyer dominance), and vice-versa for a downtrend. We label all Momentum (not Implied) Pivots with their Dow qualifier. You can also choose to display the background bias according to the Dow trend. There is an input option to enable a "Ranging" Dow state, which happens when you get Lower Highs in an uptrend or Higher Lows in a downtrend. 🟩  SMC-STYLE STRUCTURE (BOS, CHOCH) The ideas of trend continuation after taking out prior highs/lows and looking for early signs of possible reversal go back to Dow and Wyckoff, but have been popularised by SMC as Break Of Structure (BOS) and Change of Character (CHoCH). BOS can be used as a trigger: for example: • Wait for a bullish break of structure • Then attempt to buy the pullback • Cancel if structure breaks bearish (meaning, we get a bearish CHoCH break) How to buy the pullback? This is the trillion-dollar question. First, you need solid structure. Without structure, you got nothin'. Then, you want some identified levels where price might bounce from. If only we incorporated intelligent support and resistance into this very indicator 😍 Creating and maintaining correct BOS and CHoCH continuously , without resetting arbitrarily when conditions get difficult, is technically challenging. I believe I've created an implementation of this structure that is at least as solid as any other available. In general, BOS is fully momentum‑pivot‑driven; CHoCH is anchored to momentum pivots but maintained mainly by raw price extremes relative to those anchors (breaks are obviously pure price). This means that the exact levels will sometimes differ from your previous favourite market structure indicator. We have made some assumptions here which may or may not match any one person's understanding of the "correct" way to do things, including: BOS is not reset on wicks because, for us, if price cannot close beyond the BOS there is no BOS break, therefore the previous wick level is still important. The candidate for CHoCH on opposing CHoCH break *is* reset on a wick, because we want to be sure to overcome the leftover liquidity at that new extreme before calling a Change of Character. The CHoCH is moved on a BOS break. For a bullish BOS break, the new CHoCH is the lowest price *since the last momentum pivot was confirmed, creating the BOS that just broke*, and vice-versa for bearish. If there's a stray wick before that, which doesn't shift momentum, we don't care about it. 🟩  ZIGZAG The Major Swing Zigzag dynamically connects momentum highs and lows (e.g., from a Higher Low to the latest Higher High), adjusting as new extremes form to reveal the overall trend leg. The Implied Structure Zigzag joins momentum pivots and Implied pivots, if enabled. 🟩  REPAINTING It's really important to understand two things before asking "Does it repaint?":  1. ALL structure indicators repaint, in the sense of drawing things into the past or notifying you of things that happened in past bars, because by definition, structure needs some kind of confirmation, which takes at least one bar, usually several. This is normal.  2. Almost all indicators of ANY kind repaint in that they display unconfirmed values until the current bar closes. This is also normal. Most features of this indicator repaint in the ordinary, intended ways described above: the pivots (Implied doubly so), BOS and CHoCH lines, and formation of S/R zones. The Zigzags, by design, adjust themselves to new pivots. The active lines often change and attach themselves to new anchors. This is a form of repainting. It's important to note that the Zigzags are not signals. They're there to help visualise market structure, and structure does change. Therefore, I prioritised clearly explaining what price did rather than preserving its history. One of the "bad" kinds of repainting is if a signal is printed when the bar closes, but then on a later bar that "confirmed" signal changes. This is a fundamental issue with some high timeframe implementations. It's bad because you might already have entered a trade and now the indicator is pretending that it never signalled it for you. My indicators do not do this (in fact I wrote an entire library to help other authors avoid this). If you are ever in any doubt, play with an indicator in Bar Replay mode to see exactly what it does. To understand repainting, see the official docs: www.tradingview.com 🟩  FURTHER RESEARCH I've attempted to answer two of the tricky problems in technical analysis in Pine: how to do robust and responsive market structure, and how to maintain support and resistance zones once created. However, this just opens up more possibilities. Which momentum metrics are suitable for structure? Can more reactive metrics be used, and how do we account for divergences in a structural model based on key horizontal levels? Which sets of rules give the best results for maintaining support and resistance? Does the market have a long or a short memory? Is bar decay a natural law or a coping mechanism? 🟩  CREDITS ❤️ I'd like to thank my humble trading mentor, whose brilliant ideas inspire me to garble out code. Thanks are also due to @Timeframe_Titans for guidance on the finer points of market structure (all mistakes and distortions are my own), and to @NJPorthos for feedback and encouragement during the months in the wilderness.
Pine Script® indicatorPaid script
by SimpleCryptoLife
5
RSI Forecast Colorful [DiFlip]RSI Forecast Colorful Introducing one of the most complete RSI indicators available — a highly customizable analytical tool that integrates advanced prediction capabilities. RSI Forecast Colorful is an evolution of the classic RSI, designed to anticipate potential future RSI movements using linear regression. Instead of simply reacting to historical data, this indicator provides a statistical projection of the RSI’s future behavior, offering a forward-looking view of market conditions. ⯁ Real-Time RSI Forecasting For the first time, a public RSI indicator integrates linear regression (least squares method) to forecast the RSI’s future behavior. This innovative approach allows traders to anticipate market movements based on historical trends. By applying Linear Regression to the RSI, the indicator displays a projected trendline n periods ahead, helping traders make more informed buy or sell decisions. ⯁ Highly Customizable The indicator is fully adaptable to any trading style. Dozens of parameters can be optimized to match your system. All 28 long and short entry conditions are selectable and configurable, allowing the construction of quantitative, statistical, and automated trading models. Full control over signals ensures precise alignment with your strategy. ⯁ Innovative and Science-Based This is the first public RSI indicator to apply least-squares predictive modeling to RSI calculations. Technically, it incorporates machine-learning logic into a classic indicator. Using Linear Regression embeds strong statistical foundations into RSI forecasting, making this tool especially valuable for traders seeking quantitative and analytical advantages. ⯁ Scientific Foundation: Linear Regression Linear regression is a fundamental statistical method that models the relationship between a dependent variable y and one or more independent variables x. The general formula for simple linear regression is: y = β₀ + β₁x + ε where: y  = predicted variable (e.g., future RSI value) x  = explanatory variable (e.g., bar index or time) β₀ = intercept (value of y when x = 0) β₁ = slope (rate of change of y relative to x) ε   = random error term The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the RSI projection based on recent trends. ⯁ Least Squares Estimation To minimize the error between predicted and observed values, we use the formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Linear Regression in Machine Learning Linear regression is a foundational component of supervised learning. Its simplicity and precision in numerical prediction make it essential in AI, predictive algorithms, and time-series forecasting. Applying regression to RSI is akin to embedding artificial intelligence inside a classic indicator, adding a new analytical dimension. ⯁ Visual Interpretation Imagine a time series of RSI values like this: Time → RSI    → The regression line smooths these historical values and projects itself n periods forward, creating a predictive trajectory. This projected RSI line can cross the actual RSI, generating sophisticated entry and exit signals. In summary, the RSI Forecast Colorful indicator provides both the current RSI and the forecasted RSI, allowing comparison between past and future trend behavior. ⯁ Summary of Scientific Concepts Used Linear Regression: Models relationships between variables using a straight line. Least Squares: Minimizes squared prediction errors for optimal fit. Time-Series Forecasting: Predicts future values from historical patterns. Supervised Learning: Predictive modeling based on known output values. Statistical Smoothing: Reduces noise to highlight underlying trends. ⯁ Why This Indicator Is Revolutionary Scientifically grounded: Built on statistical and mathematical theory. First of its kind: The first public RSI with least-squares predictive modeling. Intelligent: Incorporates machine-learning logic into RSI interpretation. Forward-looking: Generates predictive, not just reactive, signals. Customizable: Exceptionally flexible for any strategic framework. ⯁ Conclusion By combining RSI and linear regression, the RSI Forecast Colorful allows traders to predict market momentum rather than simply follow it. It's not just another indicator: it's a scientific advancement in technical analysis technology. Offering 28 configurable entry conditions and advanced signals, this open-source indicator paves the way for innovative quantitative systems. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What Is RSI? The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder. It measures the velocity and magnitude of recent price movements to identify overbought and oversold conditions. The RSI ranges from 0 to 100 and is commonly used to identify potential reversals and evaluate trend strength. ⯁ How RSI Works RSI is calculated from average gains and losses over a set period (commonly 14 bars) and plotted on a 0–100 scale. It consists of three key zones: Overbought: RSI above 70 may signal an overbought market. Oversold: RSI below 30 may signal an oversold market. Neutral Zone: RSI between 30 and 70, indicating no extreme condition. These zones help identify potential price reversals and confirm trend strength. ⯁ Entry Conditions All conditions below are fully customizable and allow detailed control over entry signal creation. 📈 BUY 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 RSI (Crossover) Upper 🧲 RSI (Crossunder) Upper 🧲 RSI (Crossover) Lower 🧲 RSI (Crossunder) Lower 🧲 RSI (Crossover) Middle 🧲 RSI (Crossunder) Middle 🧲 RSI (Crossover) MA 🧲 RSI (Crossunder) MA 🧲 MA (Crossover)Upper 🧲 MA (Crossunder)Upper 🧲 MA (Crossover) Lower 🧲 MA (Crossunder) Lower 🧲 RSI Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 📉 SELL 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 RSI (Crossover) Upper 🧲 RSI (Crossunder) Upper 🧲 RSI (Crossover) Lower 🧲 RSI (Crossunder) Lower 🧲 RSI (Crossover) Middle 🧲 RSI (Crossunder) Middle 🧲 RSI (Crossover) MA 🧲 RSI (Crossunder) MA 🧲 MA (Crossover)Upper 🧲 MA (Crossunder)Upper 🧲 MA (Crossover) Lower 🧲 MA (Crossunder) Lower 🧲 RSI Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill
Pine Script® indicator
by DiFlip
2