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Relative Strength Index (RSI)

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
RSI adaptive zones [AdaptiveRSI]This script introduces a unified mathematical framework that auto-scales oversold/overbought and support/resistance zones for any period length. It also adds true RSI candles for spotting intrabar signals. Built on the Logit RSI foundation, this indicator converts RSI into a statistically normalized space, allowing all RSI lengths to share the same mathematical footing. What was once based on experience and observation is now grounded in math. ✦ ✦ ✦ ✦ ✦ 💡 Example Use Cases RSI(14): Classic overbought/oversold signals + divergence Support in an uptrend using RSI(14) Range breakouts using RSI(21) Short-term pullbacks using RSI(5) ✦ ✦ ✦ ✦ ✦ THE PAST: RSI Interpretation Required Multiple Rulebooks Over decades, RSI practitioners discovered that RSI behaves differently depending on trend and lookback length: • In uptrends, RSI tends to hold higher support zones (40–50) • In downtrends, RSI tends to resist below 50–60 • Short RSIs (e.g., RSI(2)) require far more extreme threshold values • Longer RSIs cluster near the center and rarely reach 70/30 These observations were correct — but lacked a unifying mathematical explanation. ✦ ✦ ✦ ✦ ✦ THE PRESENT: One Framework Handles RSI(2) to RSI(200) Instead of using fixed thresholds (70/30, 90/10, etc.), this indicator maps RSI into a normalized statistical space using: • The Logit transformation to remove 0–100 scale distortion • A universal scaling based on 2/√(n−1) scaling factor to equalize distribution shapes As a result, RSI values become directly comparable across all lookback periods. ✦ ✦ ✦ ✦ ✦ 💡 How the Adaptive Zones Are Calculated The adaptive framework defines RSI zones as statistical regimes derived from the Logit-transformed RSI . Each boundary corresponds to a standard deviation (σ) threshold, scaled by 2/√(n−1), making RSI distributions comparable across periods. This structure was inspired by Nassim Nicholas Taleb’s body–shoulders–tails regime model: Body (±0.66σ) — consolidation / equilibrium Shoulders (±1σ to ±2.14σ) — trending region Tails (outside of ±2.14σ) — rare, high-volatility behavior Transitions between these regimes are defined by the derivatives of the position (CDF) function : • ±1σ → shift from consolidation to trend • ±√3σ → shift from trend to exhaustion Adaptive Zone Summary Consolidation: −0.66σ to +0.66σ Support/Resistance: ±0.66σ to ±1σ Uptrend/Downtrend: ±1σ to ±√3σ Overbought/Oversold: ±√3σ to ±2.14σ Tails: outside of ±2.14σ ✦ ✦ ✦ ✦ ✦ 📌 Inverse Transformation: From σ-Space Back to RSI A final step is required to return these statistically normalized boundaries back into the familiar 0–100 RSI scale. Because the Logit transform maps RSI into an unbounded real-number domain, the inverse operation uses the hyperbolic tangent function to compress σ-space back into the bounded RSI range. RSI(n) = 50 + 50 · tanh(z / √(n − 1)) The result is a smooth, mathematically consistent conversion where the same statistical thresholds maintain identical meaning across all RSI lengths, while still expressing themselves as intuitive RSI values traders already understand. ✦ ✦ ✦ ✦ ✦ Key Features Mathematically derived adaptive zones for any RSI period Support/resistance zone identification for trend-aligned reversals Optional OHLC RSI bars/candles for intrabar zone interactions Fully customizable zone visibility and colors Statistically consistent interpretation across all markets and timeframes Inputs RSI Length — core parameter controlling zone scaling RSI Display : Line / Bar / Candle visualization modes ✦ ✦ ✦ ✦ ✦ 💡 How to Use This indicator is a framework , not a binary signal generator. Start by defining the question you want answered, e.g.: • Where is the breakout? • Is price overextended or still trending? • Is the correction ending, or is trend reversing? Then: Choose the RSI length that matches your timeframe Observe which adaptive zone price is interacting with Interpret market behavior accordingly Example: Long-Term Trend Assesment using RSI(200) A trader may ask: "Is this a long term top?" Unlikely, because RSI(200) holds above Resistance zone , therefore the trend remains strong. ✦ ✦ ✦ ✦ ✦ 👉 Practical tip: If you used to overlay weekly RSI(14) on a daily chart (getting a line that waits 5 sessions to recalculate), you can now read the same long-horizon state continuously : set RSI(70) on the daily chart (~14 weeks × 5 days/week = 70 days) and let the adaptive zones update every bar . Note: It won’t be numerically identical to the weekly RSI due to lookback period used, but it tracks the same regime on a standardized scale with bar-by-bar updates. ✦ ✦ ✦ ✦ ✦ Note: This framework describes statistical structure, not prediction. Use as part of a complete trading approach. Past behavior does not guarantee future outcomes. framework ≠ guaranteed signal --- Attribution & License This indicator incorporates: • Logit transformation of RSI • Variance scaling using 2/√(n−1) • Zone placement derived from Taleb’s body–shoulders–tails regime model and CDF derivatives • Inverse TANH(z) transform for mapping z-scores back into bounded RSI space Released under CC BY-NC-SA 4.0 — free for non-commercial use with credit. © AdaptiveRSI
Pine Script® indicator
by AdaptiveRSI
17
RSI Divergence Pro | Instant & Confirmed RSI Divergence Pro 是一个专为实盘交易打造的专业级背离系统，它的设计目标很明确：更快、更准、更稳定。在长期交易美股、A 股与加密货币的过程中，我发现市面上大多数背离指标都有明显缺陷：传统背离确认太慢，动不动延迟 3～8 根 K；快速背离虽然及时，但基本都重绘，复盘好看、实盘没法用；复杂的背离工具则逻辑混乱，视觉杂乱，很难在实盘中形成稳定的执行体系。因此，我希望创建一个真正能反映市场动能变化、适用于实盘、且结构清晰的背离系统。最终形成了 RSI Divergence Pro：即时背离（预测模型）与确认背离（零重绘）双引擎架构。 这个指标由两个核心引擎构成。第一个是即时背离，它基于 RSI 的二阶动能变化来捕捉拐点，无需等待枢轴成型，因此信号非常提前。它能在 K 线创新低但 RSI 不再同步时提醒你，也能在市场动能逐渐衰竭的早期阶段发出信号。即时背离以虚线呈现，可能重绘，但这种“重绘本质上是预判”，可以让你比传统背离提前 1～5 根 K 观察到趋势反转的可能性。第二个是确认背离，它采用“左宽右窄”的不对称枢轴结构：左端保持足够的结构宽度，确保信号含金量；右端使用极窄宽度，让确认信号比传统枢轴快很多。同时确认背离完全不重绘，非常适合实盘与策略回测，所有信号都以实线表现，稳定可靠。 除了核心结构，RSI Divergence Pro 提供了清晰直观的视觉呈现：背离连线、可选文字标签、右端短尾增强设计，使得信号的方向性更明确。它支持所有周期，从 1 分钟到周线都可以使用，同时包含四种提醒触发（即时多、即时空、确认多、确认空），适合自动化或半自动化交易体系。它的逻辑充分考虑了实际交易中“反应速度”与“信号可靠性”的平衡，因此尤其适用于短线交易者、波段交易者、结构分析者以及基于 RSI 建模的量化策略用户。 它带来的价值并不仅仅是“画背离线”，而是在帮助交易者理解市场深层的动能变化。无论是避免追高杀跌、确认趋势衰竭、识别顶部底部结构，还是减少情绪化操作——背离在交易系统中扮演的是风险过滤器和反转预警器的角色。即时背离让你看到别人看不到的早期信号，而确认背离为执行提供可靠依据，从而形成一个可复制、可执行的交易框架。 需要强调的是，即时背离属于预测模型，会因为动能变化而重绘，这是正常的；确认背离则完全不重绘，可以放心用于实盘与回测。背离是信号，不是指令，需结合趋势与结构判断使用。 总结来说，RSI Divergence Pro 的核心价值在于“快、稳、清晰、专业”。它不是为了炫技，而是为了让你在市场结构变化的关键位置更早、更准地获得信息。如果你长期依赖 RSI 或动能分析，它会成为一个真正值得加入工具库的专业级指标。 RSI Divergence Pro is a professional-grade divergence system designed specifically for real trading. Its purpose is simple: to be faster, more accurate, and more stable than traditional divergence tools. After years of trading equities and crypto, I realized that most divergence indicators share the same major weaknesses: classic divergence signals come far too late, often 3–8 bars after the structure forms; fast divergence tools repaint heavily, making them unsuitable for live trading; and more complex indicators are visually cluttered and difficult to execute in real time. I wanted a tool that reveals momentum shifts clearly, works in live markets, and helps traders build a consistent execution framework. That led to the creation of RSI Divergence Pro, a dual-engine system that combines predictive divergence with fully confirmed, non-repainting divergence. The first engine is Instant Divergence. It is built on RSI momentum inflection rather than pivot structures, allowing signals to appear far earlier. It detects moments when price makes a new low but RSI no longer follows, or when momentum begins to weaken before it becomes visually obvious. Instant signals are drawn with dashed lines and may repaint, because they are predictive by design. This enables early detection 1–5 bars ahead of traditional divergence tools, giving traders an informational edge in momentum reversal scenarios. The second engine is Confirmed Divergence. It uses an asymmetric pivot model with a wider left side and a narrow right side. The left width preserves structural integrity, while the small right width accelerates signal confirmation, making it significantly faster than standard pivot divergence. All confirmed divergences are fully non-repainting and displayed with solid lines, making them ideal for both live trading and backtesting. Beyond the core logic, RSI Divergence Pro includes clean and intuitive visual elements: divergence lines, optional labels, and mini stub extensions to highlight direction and momentum. It supports all timeframes—from 1-minute scalping to weekly swing analysis—and provides four types of alert conditions (instant bull, instant bear, confirmed bull, confirmed bear). It is especially suitable for scalpers, swing traders, structural traders, and quantitative traders who rely on RSI-based momentum modeling. The true value of this tool is not simply drawing divergence lines. It helps traders understand deeper momentum shifts within market structure. It prevents chasing tops and bottoms, identifies trend exhaustion, provides context for reversals, and reduces emotional trading. Instant divergence shows what most traders cannot see, while confirmed divergence provides stable validation, forming a consistent and repeatable execution framework. It is important to clarify that instant divergence repaints by design—this is part of its predictive nature. Confirmed divergence does not repaint at all and is safe for strategy testing. Divergence is a signal, not a command, and should be interpreted alongside market structure and trend context. In summary, RSI Divergence Pro focuses on what matters: speed, stability, clarity, and professional-level reliability. It is not built to be flashy but to help traders receive actionable information at the exact moments when momentum and structure begin to shift. For traders who rely on RSI or momentum analysis, this indicator is a powerful addition to any serious trading toolkit.
Pine Script® indicator
by LeverKing-Crypto-Jaywei
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure. Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model. Originality and usefulness Adaptive Trend Mapper (ATM) does not replicate any one indicator. It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators: They represent directional pressure on a 0–100 scale , not momentum. They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine. They can be optionally step-compressed , making the movement easier to read on fast or small charts. The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart. All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place. How the Indicator Works 1. Bull & Bear Pressure Indices: These indices measure directional imbalance: Bull Index = ADX strength weighted against inverse-RSI Bear Index = ADX strength weighted against normal RSI This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate. You can optionally smooth these using: SMA / EMA / WMA / RMA via the “Smoothing Settings” panel. 2. Squeeze & Compression Detection: A squeeze is detected when: ADX stays below a user-defined threshold Bull–Bear Index difference shrinks Average difference is falling (convergence) This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels . 3. Adaptive Trend Curve (SuperSmoother Engine) The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA. The slope color flips between bullish and bearish and is displayed using: A thin SuperSmoother curve A thicker band for visual context 4. EMA-50 Trend Context: An optional EMA-50 helps identify broad directional bias . 5. Step-Based Scaling You can quantize the Bull/Bear indices using custom step intervals. This makes the indicator easier to read on noisy intraday charts. How to Use the Indicator 1. Trend Analysis A rising Bull Index shows strengthening upward pressure A rising Bear Index shows strengthening downward pressure Wide divergence between the indices signals a strong trend 2. Compression / Squeeze Analysis Yellow background = volatility compression + pressure convergence Breakouts from this zone often precede directional expansion 3. Trendline Reading SuperSmoother line color flip = micro trend shift EMA-50 slope gives macro-trend direction Perfect for combining trend and momentum maps on the same chart 4. Visual Interpretation Cyan/teal → strong bullish pressure Purple/red/orange → various levels of bearish control Neutral/teal background → weak ADX Yellow background → squeeze zone Open-Source Notes This script uses: TradingView built-in RSI, ADX/DMI, and smoothing functions A SuperSmoother implementation based on known DSP filter coefficients All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO . The script is published open-source to comply with TradingView’s reuse policy. Disclaimer This tool is for educational and analytical purposes only. It does not generate buy or sell signals. Always use proper risk management. Happy Trading (ARJO)
Pine Script® indicator
by ARJO_2019