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Göreceli Güç Endeksi (RSI)

Advanced RSI with Divergence RCT This indicator provides a comprehensive RSI analysis tool by combining the classic Relative Strength Index (RSI) with a smoothing Simple Moving Average (SMA), clearly defined overbought/oversold zones, and an advanced divergence detection engine. --- Key Features --- 1. RSI with SMA: Plots the standard RSI along with a user-defined SMA of the RSI. This helps to smooth out price action and confirm the underlying trend, identifying potential buy/sell signals on crossovers. 2. Overbought/Oversold Levels: Highlights the extreme zones with dotted horizontal lines at 80 (overbought) and 20 (oversold), providing clear visual cues for potential market reversals. 3. Advanced Divergence Detection: Automatically identifies and plots both regular and hidden divergences (bullish and bearish) directly on the chart. This helps traders spot potential reversals that are not obvious from price action alone. --- How to Use --- - Trend Confirmation: When the RSI crosses above its SMA, it can signal a strengthening bullish trend. A cross below can signal a strengthening bearish trend. - Reversal Zones: When the RSI enters the overbought zone (>80) or oversold zone (<20), traders may watch for a reversal in price. - Divergence Signals: - A Bullish Divergence (green label 'R') occurs when the price makes a lower low, but the RSI makes a higher low, suggesting downward momentum is fading. - A Bearish Divergence (red label 'R') occurs when the price makes a higher high, but the RSI makes a lower high, suggesting upward momentum is fading. - Hidden Divergences ('H' labels) can indicate the continuation of an existing trend. --- Disclaimer --- This script is for informational and educational purposes only. It is not financial advice. Past performance is not indicative of future results. Always do your own research before making any trading decisions.
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CARLOSVIZCARRA17 tarafından
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
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DCAUT tarafından
🐬RSI_CandleRSI_Candle Calculates the RSI based on the open, high, low, and close prices, and displays it in the form of candles. The overbought and oversold zones are highlighted with background colors, which become darker as the RSI value approaches 100 or 0. ----- RSI_Candle RSI를 시가, 고가, 저가, 종가로 계산하여 캔들로 보여줍니다. 과매수/과매도 구간에서 배경색으로 보여주며, 100/0에 가까울수록 배경색이 짙어집니다. -----
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BossOfDolphinGang_ tarafından
RSI Bars - OnlyFlowThis indicator applies the RSI (Relative Strength Index) to candle coloring so that bar colors reflect momentum conditions instead of a fixed scheme. RSI Logic: Bars shift color when RSI values move into overbought or oversold regions, with intensity scaled by how far RSI extends beyond the thresholds. Gradient / Step Mode: Choose between a smooth gradient or a 3-step palette to visualize strength. Directional Neutral Colors: Neutral zones can follow candle direction for clearer trend context. Customization: Overbought/oversold levels and color palettes are user-configurable. Optional RSI Panel: An RSI plot with overbought/oversold lines can be enabled in a separate pane if desired. This tool is meant to give traders a more intuitive view of RSI conditions directly on price bars, helping to quickly see momentum extremes without needing to glance away from the chart.
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ofderk tarafından
Smooth Cloud Trend Filter (20/50 EMA)The Smooth Cloud indicator visualizes market trend direction using two Exponential Moving Averages (EMAs): a Fast EMA (20-period) and a Slow EMA (50-period). The area between these averages forms a shaded cloud that changes color according to the trend bias: 🟢 Green Cloud: Fast EMA is above the Slow EMA → Bullish trend. 🔴 Red Cloud: Fast EMA is below the Slow EMA → Bearish trend. On this chart, the cloud remains green for most of the period, reflecting a strong and persistent uptrend. During minor pullbacks, the transitions stay smooth, showing that the trend filter reacts steadily without excessive noise. Price action consistently holds above the cloud from late September through early October, indicating sustained buyer control and bullish momentum. This view focuses solely on the trend structure provided by the Smooth Cloud. While other modules of the full system (such as the RSI Liquidity Spectrum and Zig Zag++ Volume Profile) add momentum and liquidity context, the Smooth Cloud alone highlights clear directional bias and trend strength. When the price trades above a green cloud, traders often look for long opportunities on pullbacks or RSI confirmations. A red cloud flip would signal a possible trend reversal or weakening momentum, suggesting short setups instead. The thickness of the cloud also offers visual insight — thicker clouds indicate stronger trend momentum, while thinner ones suggest consolidation or indecision.
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Jaxon007 tarafından
Relative Strength index 2xRelative Strength Index 2× The RSI*2 by AZly is an advanced dual-RSI indicator that allows traders to analyze momentum from two distinct perspectives — short-term and medium-term — on a single chart. It combines RSI precision with multi-timeframe flexibility, giving a clear view of both immediate and underlying momentum trends. ⚙️ How It Works This indicator calculates and plots two fully independent RSI lines, each with customizable settings: RSI 1 (Main RSI) : Captures medium-term momentum, ideal for trend and context. RSI 2 (Fast RSI) : Reacts quickly to short-term moves, identifying overbought and oversold conditions. Both RSIs include: Custom timeframe, source, and smoothing method (SMA, EMA, WMA, VWMA, HMA, SMMA). Gradient zones to visualize momentum strength and reversals. Adjustable levels and colors for clear chart presentation. 📘 Andrew Cardwell Zones (RSI 1) RSI 1 uses Andrew Cardwell’s “range rules” to distinguish bullish and bearish momentum phases: Bullish Range: RSI holds between 40–80, finding support around 40–45. Bearish Range: RSI stays between 20–60, with rallies capped near 55–60. A breakout from one range into another often signals a trend phase transition — marking potential trend beginnings or endings. ⚡ Overbought/Oversold Zones (RSI 2) RSI 2 is designed for fast reactions and reversal detection: 95–100: Extreme overbought zone — potential exhaustion and short setup. 5–0: Extreme oversold zone — potential exhaustion and long setup. Crossing these levels highlights short-term momentum exhaustion , often preceding pullbacks or strong price reversals. 💡 Why It’s Better Compared to traditional RSI indicators, this version provides superior control and insight: Dual independent RSIs with separate timeframes and smoothing. Cardwell-style range recognition for better context of trend strength. Extreme bands for fast RSI 2 to time entries with precision. Dynamic gradient zones for intuitive visual interpretation. Multi-timeframe flexibility that adapts to any trading style. 🎯 Trading Concepts Trend Confirmation: RSI 1 above 50 (bullish range) confirms uptrend bias; below 50 (bearish range) confirms downtrend. Reversal Setup: RSI 2 hitting extreme zones (above 95 or below 5) while RSI 1 stays steady often signals exhaustion and reversal setups. Divergence Confirmation: When RSI 2 diverges from price and RSI 1 supports the direction, it strengthens reversal probability. Range Transition: A shift in RSI 1’s range (from bearish to bullish or vice versa) confirms a major change in market structure. 🕒 Trade Timing (Entry Ideas) Timing is one of the indicator’s strongest features. Wait for RSI 2 to reach an extreme zone (above 95 or below 5). Then confirm the direction with RSI 1 — trades are most effective when RSI 1’s range aligns with the anticipated move. Buy Setup: RSI 1 in bullish range + RSI 2 rebounds upward from the 5 zone. Sell Setup: RSI 1 in bearish range + RSI 2 turns down from the 95 zone. Best Timing: Enter when RSI 2 crosses back inside the 10–90 range in the same direction as RSI 1’s trend. This captures momentum just as it resumes — avoiding early or late entries. 🔷 M & W Patterns (RSI 2) RSI 2 also reveals short-term exhaustion structures: “ M ” Formation: Two RSI peaks near 95–100 — bearish reversal setup. “ W ” Formation: Two RSI troughs near 0–5 — bullish reversal setup. These shapes often appear before price reversals, offering early momentum clues. ⚠️ Important Trading Guidance It is strongly recommended not to trade against the prevailing trend or attempt to pick exact tops or bottoms. The indicator works best when used in alignment with trend direction. Counter-trend entries carry higher risk and lower probability. 📊 Recommended Use Ideal for momentum traders, scalpers, and multi-timeframe analysts seeking precise timing and context. Works on all markets — forex, crypto, stocks, indexes, and commodities.
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YunakAZly tarafından
Katana_Fox RSI Pro - Advanced Momentum Indicator with Clear BUOverview: Connors RSI Pro is a sophisticated enhancement of the classic Connors RSI indicator, designed for traders who demand professional-grade tools. This premium version combines multiple momentum components with intelligent signaling and beautiful visualization to give you an edge in the markets. Key Features: 🎯 Clear BUY/SELL Signal System BUY signals in green when CRSI crosses above oversold level SELL signals in red when CRSI crosses below overbought level Clean, professional labels that are easy to read Customizable overbought/oversold levels (70/30 default) 🎨 Professional Visualization Modern color scheme that adapts to market conditions Customizable background fills for better readability Smooth, easy-to-read line plotting ⚡ Enhanced Calculations Triple-component momentum analysis (RSI, UpDown RSI, Percent Rank) EMA smoothing for reduced noise and false signals Configurable lengths for each component 🔔 Advanced Alert System 4 distinct alert conditions for various market scenarios Compatible with TradingView's native alert system Perfect for automated trading strategies Input Parameters: RSI Length (3): Period for standard RSI calculation UpDown Length (2): Period for UpDown RSI component ROC Length (100): Period for Rate of Change percentile ranking Signal Alerts: Toggle BUY/SELL signals on/off Custom Colors: Choose between classic and modern color schemes Trading Signals: BUY (Green Label): Bullish signal when CRSI crosses above oversold level SELL (Red Label): Bearish signal when CRSI crosses below overbought level Background Colors: Visual zones indicating momentum strength Ideal For: Swing traders seeking momentum reversals Day traders looking for overbought/oversold conditions Algorithmic traders needing reliable signals Technical analysts wanting multi-timeframe confirmation How to Use: Oversold Bounce: Enter long when CRSI shows BUY signal above 30 Overbought Rejection: Enter short when CRSI shows SELL signal below 70 Trend Confirmation: Use the 50-level crossover for trend direction Divergence Trading: Look for price/indicator divergences at extremes Upgrade your trading arsenal with Connors RSI Pro - where professional analytics meet clear trading signals!
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Katana_Fox tarafından
FirstStrike Long 200 - Daily Trend Rider [KedArc Quant]Strategy Description FirstStrike Long 200 is a disciplined, long-only momentum strategy designed for daily "strike-first" entries in trending markets. It scans for RSI momentum above a customizable trigger (default 50), confirmed by EMA trend filters, and limits you to *exactly one trade per day* to avoid overtrading. It uses ATR for dynamic risk management (1.5x stop, 2:1 RR target) and optional trailing stops to ride winners. Backtested with realistic commissions and sizing, it prioritizes low drawdowns (<1% max in tests) over aggressive gains—ideal for swing traders seeking quality setups in bull runs. Why It's Different from Other Strategies Unlike generic RSI crossover bots or EMA ribbon mashups that spam signals and bleed in chop, FirstStrike enforces a "one-and-done" daily gate, blending precision momentum (RSI modes with grace/sustain) with robust filters (volume, sessions, rearm dips). How It Helps Traders - Reduces Emotional Trading: One entry/day forces discipline—miss a setup? Wait for tomorrow. Perfect for busy pros avoiding screen fatigue. - Adapts to Regimes: Switch modes for trends ("Cross+Grace") vs. ranges ("Any bar")—boosts win rates 5-10% in backtests on high-beta names like . - Risk-First Design: ATR scales stops to vol capping DD at 0.2% while targeting 2R winners. Trailing option locks +3-5% runs without early exits. - Quick Insights: Labels/alerts flag entries with RSI values; bgcolor highlights signals for visual scanning. Helps spot "first-strike" edges in uptrends, filtering ~60% noise. Why This Is Not a Mashup This isn't a Frankenstein of off-the-shelf indicators—while it uses standard RSI/EMA/ATR (core Pine primitives), the innovation lies in: - Custom Trigger Engine: Switchable modes (e.g., "Cross+Grace+Sustain" requires post-cross hold) prevent perpetual signals, unlike basic `ta.crossover()`. - Daily Rearm Gate: Resets eligibility only after a dip (if enabled), tying momentum to mean-reversion—original logic not found in common scripts. - Per-Day Isolation: `var` vars + `ta.change(time("D"))` ensure zero pyramiding/overlaps, beyond simple session filters. All formulae are derived in-house for "first-strike" (early RSI pops in trends), not copied from public repos. Input Configurations Let's break down every input in the FirstStrike Long 200 strategy. These settings let you tweak the strategy like a dashboard—start with defaults for quick testing, then adjust based on your asset or timeframe (5m for intraday). They're grouped logically to keep things organized, and most have tooltips in the script for quick reminders. RSI / Trigger Group: The Heart of Momentum Detection This is where the magic starts—the strategy hunts for "upward energy" using RSI (Relative Strength Index), a tool that measures if a stock is overbought (too hot) or oversold (too cold) on a 0-100 scale. - RSI Length: How many bars (candles) back to calculate RSI. Default is 14, like a 14-day window for daily charts. Shorter (e.g., 9) makes it snappier for fast markets; longer (21) smooths out noise but misses quick turns. - Trigger Level (RSI >= this): The key RSI value where the strategy says, "Go time!" Default 50 means enter when RSI crosses or holds above the neutral midline. Why is this trigger required? It acts as your "green light" filter—without it, you'd enter on every tiny price wiggle, leading to endless losers. RSI above this shows building buyer power, avoiding weak or sideways moves. It's essential for quality over quantity, especially in one-trade-per-day setups. - Trigger Mode: Picks how strict the RSI signal must be. Options: "Cross only" (exact RSI crossover above trigger—super precise, fewer trades); "Cross+Grace" (crossover or within a grace window after—gives a second chance); "Cross+Grace+Sustain" (crossover/grace plus RSI holding steady for bars—best for steady climbs); "Any bar >= trigger" (looser, any bar above—more opportunities but riskier in chop). Start with "Any bar" for trends, switch to "Cross only" for caution. - Grace Window (bars after cross): If mode allows, how many bars post-RSI-cross you can still enter if RSI dips but recovers. Default 30 (about 2.5 hours on 5m). Zero means no wiggle room—pure precision. - Sustain Bars (RSI >= trigger): In sustain mode, how many straight bars RSI must stay above trigger. Default 3 ensures it's not a fluke spike. - Require RSI Dip Below Rearm Before Any Entry?: A yes/no toggle. If on, the strategy "rearms" only after RSI dips below a low level (like a breather), preventing back-to-back signals in overextended rallies. - Rearm Level (if requireDip=true): The dip threshold for rearming. Default 45—RSI must go below this to reset eligibility. Lower (30) for deeper pullbacks in volatile stocks. For the trigger level itself, presets matter a lot—default 50 is neutral and versatile for broad trends. Bump to 55-60 for "strong momentum only" (fewer but higher-win trades, great in bull runs like tech surges); drop to 40-45 for "early bird" catches in recoveries (more signals but watch for fakes in ranges). The optimize hint (40-60) lets you test these in TradingView to match your risk—higher presets cut noise by 20-30% in backtests. Trend / Filters Group: Keeping You on the Right Side of the Market These EMAs (Exponential Moving Averages) act like guardrails, ensuring you only long in uptrends. - EMA (Fast) Confirmation: Short-term EMA for price action. Default 20 periods—price must be above this for "recent strength." Shorter (10) reacts faster to intraday pops. - EMA (Trend Filter): Long-term EMA for big-picture trend. Default 200 (classic "above the 200-day" rule)—price above it confirms bull market. Minimum 50 to avoid over-smoothing. Optional Hour Window Group: Timing Your Strikes Avoid bad hours like lunch lulls or after-hours tricks. - Restrict by Session?: Yes/no for using exact market hours. Default off. - Session (e.g., 0930-1600 for NYSE): Time string like "0930-1600" for open to close. Auto-skips pre/post-market noise. - Restrict by Hour Range?: Fallback yes/no for simple hours. Default off. - Start Hour / End Hour: Clock times (0-23). Defaults 9-15 ET—focus on peak volume. Volume Filter Group: No Volume, No Party Confirms conviction—big moves need big participation. - Require Volume > SMA?: Yes/no toggle. Default off—only fires on above-average volume. - Volume SMA Length: Periods for the average. Default 20—compares current bar to recent norm. Risk / Exits Group: Protecting and Profiting Smartly Dynamic stops based on volatility (ATR = Average True Range) keep things realistic. - ATR Length: Bars for ATR calc. Default 14—measures recent "wiggle room" in price. - ATR Stop Multiplier: How far below entry for stop-loss. Default 1.5x ATR—gives breathing space without huge risk - Take-Profit R Multiple: Reward target as multiple of risk. Default 2.0 (2:1 ratio)—aims for twice your stop distance. - Use Trailing Stop?: Yes/no for profit-locking trail. Default off—activates after entry. - Trailing ATR Multiplier: Trail distance. Default 2.0x ATR—looser than initial stop to let winners run. These inputs make the strategy plug-and-play: Defaults work out-of-box for trending stocks, but tweak RSI trigger/modes first for your style. Always backtest changes—small shifts can flip a 40% win rate to 50%+! Outputs (Visuals & Alerts): - Plots: Blue EMA200 (trend line), Orange EMA20 (price filter), Green dashed entry price. - Labels: Green "LONG" arrow with RSI value on entries. - Background: Light green highlight on signal bars. - Alerts: "FirstStrike Long Entry" fires on conditions (integrates with TradingView notifications). Entry-Exit Logic Entry (Long Only, One Per Day): 1. Daily Reset: New day clears trade gate and (if required) rearm status. 2. Filters Pass: Time/session OK + Close > EMA200 (trend) + Close > EMA20 (price) + Volume > SMA (if enabled) + Rearmed (dip below rearm if toggled). 3. Trigger Fires: RSI >= trigger via selected mode (e.g., crossover + grace window). 4. Execute: Enter long at close; set daily flag to block repeats. Exit: - Stop-Loss: Entry - (ATR * 1.5) – dynamic, vol-scaled. - Take-Profit: Entry + (Risk * 2.0) – fixed RR. - Trailing (Optional): Activates post-entry; trails at Close - (ATR * 2.0), updating on each bar for trend extension. No shorts or hedging—pure long bias. Formulae Used - RSI: `ta.rsi(close, rsiLen)` – Standard 14-period momentum oscillator (0-100). - EMAs: `ta.ema(close, len)` – Exponential moving averages for trend/price filters. - ATR: `ta.atr(atrLen)` – True range average for stop sizing: Stop = Entry - (ATR * mult). - Volume SMA: `ta.sma(volume, volLen)` – Simple average for relative strength filter. - Grace Window: `bar_index - lastCrossBarIndex <= graceBars` – Counts bars since RSI crossover. - Sustain: `ta.barssince(rsi < trigger) >= sustainBars` – Consecutive bars above threshold. - Session Check: `time(timeframe.period, sessionStr) != 0` – TradingView's built-in session validator. - Risk Distance: `riskPS = entry - stop; TP = entry + (riskPS * RR)` – Asymmetric reward calc. FAQ Q: Why only one trade/day? A: Prevents revenge trading in volatile sessions . Backtests show it cuts losers by 20-30% vs. multi-entry bots. Q: Does it work on all assets/timeframes? A: Best for trending stocks/indices on 5m-1H. Test on crypto/forex with wider ATR mult (2.0+). Q: How to optimize? A: Use TradingView's optimizer on RSI trigger (40-60) and EMA fast (10-30). Aim for PF >1.0 over 1Y data. Q: Alerts don't fire—why? A: Ensure `alertcondition` is enabled in script settings. Test with "Any alert() function calls only." Q: Trailing stop too loose? A: Tune `trailMult` to 1.5 for tighter; it activates alongside fixed TP/SL for hybrid protection. Glossary - Grace Window: Post-RSI-cross period (bars) where entry still allowed if RSI holds trigger. - Rearm Dip: Optional pullback below a low RSI level (e.g., 45) to "reset" eligibility after signals. - Profit Factor (PF): Gross profit / gross loss—>1.0 means winners outweigh losers. - R Multiple: Risk units (e.g., 2R = 2x stop distance as target). - Sustain Bars: Consecutive bars RSI stays >= trigger for mode confirmation. Recommendations - Backtest First: Run on your symbols (/) over 6-12M; tweak RSI to 55 for +5% win rate. - Live Use: Start paper trading with `useSession=true` and `useVol=true` to filter noise. - Pairs Well With: Higher TF (daily) for bias; add ADX (>25) filter for strong trends (code snippet in prior chats). - Risk Note: 10% sizing suits $100k+ accounts; scale down for smaller. Not financial advice—past performance ≠ future. - Publish Tip: Add tags like "momentum," "RSI," "long-only" on TradingView for visibility. Strategy Properties & Backtesting Setup FirstStrike Long 200 is configured with conservative, realistic backtesting parameters to ensure reliable performance simulations. These settings prioritize capital preservation and transparency, making it suitable for both novice and experienced traders testing on stocks. Initial Capital $100,000 Standard starting equity for portfolio-level testing; scales well for retail accounts. Adjust lower (e.g., $10k) for smaller simulations. Base Currency Default (USD) Aligns with most US equities (e.g., NASDAQ symbols); auto-converts for other assets. Order Size 1 (Quantity) Fixed share contracts for simplicity—e.g., buys 1 share per trade. For % of equity, switch to "Percent of Equity" in strategy code. Pyramiding 0 Orders No additional entries on open positions; enforces strict one-trade-per-day discipline to avoid overexposure. Commission 0.1% Realistic broker fee (e.g., Interactive Brokers tier); factors in round-trip costs without over-penalizing winners. Verify Price for Limit Orders 0 Ticks No slippage delay on TPs—assumes ideal fills for historical accuracy. Slippage 0 Ticks Zero assumed slippage for clean backtests; real-world trading may add 1-2 ticks on volatile opens. These defaults yield low drawdowns (<0.3% max in tests) while capturing trend edges. For live trading, enable slippage (1-3 ticks) to mimic execution gaps. Always forward-test before deploying! ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script® stratejisi
kedarcquant tarafından
RSI: chart overlay This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30. By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window. The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms. Key components and calculation breakdown: Wilder’s EMA Used as the anchor point for measuring price position. myEMA = ta.rma(close, Length) Volatility Unit Derived from the EMA of absolute close-to-close price changes. CC_vol = ta.rma(math.abs(close - close ), Length) Normalization Factor Scales the volatility unit to align with the RSI formula’s structure. normalization_factor = 1 / (Length - 1) Upper and Lower Boundaries Defines price bands corresponding to selected RSI threshold values. up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor) down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor) Inputs RSI length Upper boundary – RSI level above 50 Lower boundary – RSI level below 50 ON/OFF toggle for 50-point line (EMA of close prices) ON/OFF toggle for overbought/oversold coloring (use with line chart) Interpretation: Each band on the chart represents a chosen RSI level. When price touches a band, RSI is at that threshold. The distance between moving average and bands adjusts automatically with volatility and your selected RSI length. All calculations remain fully consistent with standard RSI values. Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.
Pine Script® göstergesi
AdaptiveRSI tarafından
6
RSI Cloud v1.0 [PriceBlance] RSI Cloud v1.0 — Ichimoku-style Cloud on RSI(14), not on price. Recalibrated baselines: EMA9 (Tenkan) for speed, WMA45 (Kijun) for stability. Plus ADX-on-RSI to grade strength so you know when momentum persists or fades. 1. Introduction RSI Cloud v1.0 applies an Ichimoku Cloud directly on RSI(14) to reveal momentum regimes earlier and cleaner than price-based views. We replaced Tenkan with EMA9 (faster, more responsive) and Kijun with WMA45 (slower, more stable) to fit a bounded oscillator (0–100). Forward spans (+26) and a lagging line (−26) provide a clear framework for trend bias and transitions. To qualify signals, the indicator adds ADX computed on RSI—highlighting whether strength is weak, strong, or very strong, so you can decide when to follow, fade, or stand aside. 2. Core Mapping (Hook + Bullets) At a glance: Ichimoku on RSI(14) with recalibrated baselines for a bounded oscillator. Source: RSI(14) Tenkan → EMA9(RSI) (fast, responsive) Kijun → WMA45(RSI) (slow, stable) Span A: classic Ichimoku midline, displaced +26 Span B: classic Ichimoku baseline, displaced +26 Lagging line: RSI shifted −26 3. Key Benefits (Why traders care) Momentum regimes on RSI: position vs. Cloud = bull / bear / transition at a glance. Cleaner confirmations: EMA9/WMA45 pairing cuts noise vs. raw 30/70 flips. Earlier warnings: Cloud breaks on RSI often lead price-based confirmations. 4. ADX on RSI (Enhanced Strength Normalization) Grade strength inside the RSI domain using ADX from ΔRSI: ADX ≤ 20 → Weak (transparency = 60) ADX ≤ 40 → Strong (transparency = 15) ADX > 40 → Very strong (transparency = 0) Use these tiers to decide when to trust, fade, or ignore a signal. 5. How to Read (Quick rules) Bias / Regime Bullish: RSI above Cloud and RSI > WMA45 Bearish: RSI below Cloud and RSI < WMA45 Neutral / Transition: all other cases 6. Settings (Copy & use) RSI Length: 14 (default) Tenkan: EMA9 on RSI · Kijun: WMA45 on RSI Displacement: +26 (Span A/B) · −26 (Lagging) Theme: PriceBlance Dark/Light Visibility toggles: Cloud, Baselines, Lagging, labels/panel, Overbought/Oversold, Divergence, ADX-on-RSI (via transparency coloring) 7. Credits & License Author/Brand: PriceBlance Version: v1.0 (Free) Watermark: PriceBlance • RSI Cloud v1.0 Disclaimer: Educational content; not financial advice. 8. CTA If this helps, please ⭐ Star and Follow for updates & new tools. Feedback is welcome—comment what you’d like added next (alerts, presets, visuals).
Pine Script® göstergesi
priceblancetrading tarafından
Relative Performance Indicator - TrendSpider StyleRelative Performance Indicator - TrendSpider Style 📈 Overview This Relative Performance (RP) indicator measures how your stock is performing compared to a benchmark index, displayed as a percentile ranking from 0-100. Based on TrendSpider's methodology, it answers the critical question: "Is this stock a leader or a laggard?" Unlike simple ratio charts, this indicator uses percentile ranking to normalize relative performance, making it easy to identify when a stock is showing exceptional strength (>80) or concerning weakness (<20) compared to its historical relationship with the benchmark. ✨ Key Features Three Calculation Modes: Quarterly: 3-month relative performance for swing trading Yearly: Weighted 4-quarter performance for position trading TechRank: Composite of 6 technical indicators for multi-factor analysis Clean Visual Design: Green fills above 80 (strong outperformance) Red fills below 20 (significant underperformance) Dotted median line at 50 for quick reference Current value label for instant reading Flexible Benchmarks: Compare against major indices (SPY, QQQ, IWM) Sector ETFs for within-sector analysis Custom symbols for specialized comparisons Built-in Alerts: Strong performance zone entry (>80) Weak performance zone entry (<20) Median crossovers (50 level) 📊 How To Use Buy Signals: RP crosses above 80: Stock entering leadership status RP holding above 60: Maintaining relative strength RP rising while price consolidating: Accumulation phase Sell/Avoid Signals: RP drops below 50: Losing relative strength RP below 20: Significant underperformance RP falling while price rising: Bearish divergence Sector Rotation: Compare multiple assets to find strongest sectors Rotate into high RP assets (>70) Exit low RP positions (<30) 🎯 Reading The Values 80-100: Exceptional outperformance - Strong buy/hold 60-80: Moderate outperformance - Hold positions 40-60: Market perform - No edge 20-40: Underperformance - Caution/reduce 0-20: Severe underperformance - Avoid/exit ⚙️ Calculation Method Calculates percentage performance of both your stock and the benchmark Finds the performance differential Ranks this differential against historical values using percentile analysis Normalizes to 0-100 scale for easy interpretation This percentile approach adapts to different market conditions and volatility regimes, providing consistent signals whether in trending or choppy markets. 💡 Pro Tips For Growth Stocks: Use quarterly mode with QQQ as benchmark For Value Stocks: Use yearly mode with SPY as benchmark For Small Caps: Compare against IWM, not SPY For Sector Analysis: Use sector ETFs (XLK, XLF, XLE, etc.) Combine with Price Action: High RP + price breakout = powerful signal ⚠️ Important Notes RP is relative, not absolute - stocks can fall with high RP if the market falls harder Choose appropriate benchmarks for meaningful comparisons Best used in conjunction with price action and volume analysis Historical lookback period affects sensitivity (adjustable in settings) 🔧 Customization Fully customizable visual settings, thresholds, calculation periods, and smoothing options. Adjust the normalization lookback period (default 252 days) to fine-tune sensitivity to your trading timeframe. 📌 Credit Inspired by TrendSpider's Relative Performance implementation, adapted for TradingView with enhanced customization options and Pine Script v6 optimization. Tags to include: relativeperformance, relativestrength, percentile, ranking, sectorrotation, benchmark, outperformance, trendspider, marketbreadth, strengthindicator Category: Momentum Indicators / Trend Analysis Feel free to modify this description to match your style or add any specific points you want to emphasize!
Pine Script® göstergesi
nippe678 tarafından
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization Summary BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips. Motivation: Why this design? Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked. What’s different vs. standard approaches? Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers. Architecture differences: Four fixed RSI lengths with strict ordering and a spacing tolerance. Optional requirement that all RSI values stay above or below the midline for bull or bear regimes. Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate. Dispersion measurement across the four RSIs with a percent-rank diagnostic. Gradient coloring of candles and wicks driven by stack magnitude. A last-bar statistics table with counts, wins, win rate, dispersion, and priors. Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon. How it works (technical) The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline. For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small. Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane. Parameter Guide Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior. Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback. Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries. Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution. Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly. Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples. Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on. Show consensus RSI — Weighted combination of the four RSIs. Default: on. Show OB/OS zones — Draw overbought, oversold, and midline. Default: on. Background regime — Pane background tint during bull or bear stacks. Default: on. Overlay regime markers — Entry markers on price when a stack forms. Default: on. Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on. Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals. Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost. Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more. Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones. Gradient and wick transparency — Visual opacity controls. Defaults: zero. Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs. Fallback neutral candles — Directional coloring when gradients are off. Default: off. Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three. Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty. Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small. Reading & Interpretation RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment. Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference. Zones: Overbought, oversold, and midline provide context rather than standalone triggers. Background tint: Indicates active bull or bear stack. Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms. Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment. Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering. Practical Workflows & Combinations Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes. Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal. Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data. Behavior, Constraints & Performance Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future. HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design. Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead. Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period. Sensible Defaults & Quick Tuning Start with the shipped defaults. Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period. Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates. Sparse samples: Extend the rolling window or increase priors to stabilize P(win). Visual overload: Disable gradient squares or wick coloring, or raise transparency. What this indicator is—and isn’t This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process. Metadata - Pine version: v6 - Overlay: false (price overlays are drawn via forced overlay where applicable) - Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table - Inputs with defaults: See Parameter Guide - Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts - Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping - Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls - Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context - Compatibility: Works across assets and timeframes that support RSI - Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy - Diagnostics: Statistics table, dispersion percent rank, gradient intensity Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Pine Script® göstergesi
chervolino tarafından