Empiece

RSI estocástico (STOCH RSI)

Stoch RSI Background + MTF Cross SignalsThis indicator combines higher timeframe context with precision entry signals using Stochastic RSI, helping traders align with momentum while timing entries more effectively. 🔹 Key Features 1. Higher Timeframe Bias (Background) Displays market bias using a configurable timeframe Background turns: 🟢 Green when Stoch RSI moves bullish from oversold 🔴 Red when Stoch RSI turns bearish from overbought Fully customizable overbought / oversold levels (independent from signals) 2. Precision Entry Signals Generates Buy/Sell signals based on Stoch RSI crossovers: Buy → Blue line crosses above red line below oversold level Sell → Blue line crosses below red line above overbought level Ensures signals only appear at key extremes, reducing noise 3. Multi-Timeframe Confirmation (1 Minute Filter) Optional lower timeframe filter for added confirmation: Longs only trigger if 1m Stoch RSI < 50 Shorts only trigger if 1m Stoch RSI > 50 Helps align entries with short-term momentum 4. Customisable Signal Display Choose how signals appear on the chart: Labels (BUY / SHORT) Dots (minimal) Triangles (clean and clear) Flags Designed to keep charts clean and readable 5. Fully Custom Thresholds Separate settings for: Background levels Signal trigger levels Allows flexibility across different markets and strategies
Indicador Pine Script®
por grazzeee
AGNI MOMENTUM - Ultimate Swing StrategyThe AGNI MOMENTUM is a high-performance swing trading system developed by The Stock Yogi. Designed specifically for the 1-Hour, 4-Hour, and Daily timeframes, this strategy is built to identify and ride major market waves while maintaining professional-grade risk controls. Why "AGNI" Momentum? In the Indian markets, catching a trend at the right moment is like capturing fire. This strategy uses a triple-layered approach to ensure you only enter when the "spark" is confirmed and the trend has the fuel to continue. Technical Pillars: The Institutional Anchor (VWAP): We only look for Long opportunities when the price is trading above the Volume Weighted Average Price, ensuring we are on the side of institutional money. The Momentum Trigger (Stochastic RSI): A precision-tuned oscillator that identifies overextended markets and triggers entries exactly as momentum shifts in our favor. The Volatility Shield (ATR): Instead of fixed-point stops, we use Average True Range. This allows your stop loss to adjust automatically based on market "Garam-Hawa" (volatility), preventing unnecessary stop-outs. The Trailing Sentinel: A built-in trailing stop follows the price, protecting your "Kamai" (earnings) as the trade progresses. Key Features: Optimized for Indian Markets: Defaulted to IST (GMT+5:30) with customizable session windows. Aggressive Reward: Set to a default 1:3 Risk-to-Reward ratio to ensure long-term profitability. Clean Visuals: Thick Target/SL lines and "AGNI Stickers" ($) make the trade status clear at a glance. Toggle Flexibility: Easily switch off Sell trades to focus on a "Buy Only" trending market. How to Use: Preferred Timeframes: 1H, 4H for aggressive swings, 1D for structural wealth building. Assets: Optimized for Nifty, BankNifty, and high-volume Blue-chip stocks.
Estrategia Pine Script®
por The_Stock_Yogi
Stoch RSI Background Signals - RSI Cross StateThis indicator visualises momentum shifts by changing the chart background based on Stochastic RSI (K line) crossing custom overbought and oversold levels. The background can also be pinned to a higher timeframe, allowing you to view broader market bias while trading on a lower timeframe. Green background → momentum turning bullish (K crossing above key levels) Red background → momentum turning bearish (K crossing below key levels) The indicator reacts dynamically to both entries into and exits from the defined zones, meaning it updates as momentum flips around your chosen thresholds, not just at extremes. Key Features: Custom levels: Set your own overbought/oversold thresholds (default 75 / 25) State-based colouring: Background persists until a new opposing signal occurs Multi-timeframe support: Lock signals to a higher timeframe for cleaner bias Alert-ready: Get notified on all key level cross events
Indicador Pine Script®
por grazzeee
Stoch RSI Cross Signals (Custom TF + Filter Levels)📊 Stoch RSI Cross Signals (Custom TF + Filter Levels) This indicator identifies Stochastic RSI crossover signals with advanced filtering and the ability to calculate signals on a custom timeframe, independent of the chart. 🔧 Key Features 🔹 Custom Timeframe (MTF Support) Set Stoch RSI to any timeframe (e.g. 5m, 15m, 1H, 4H) Leave blank to use the current chart timeframe Perfect for multi-timeframe analysis and aligning entries with higher timeframe momentum ⚡ Flexible Signal Filtering Choose how crossover signals are filtered using adjustable levels: No Filter → All crossover signals Inside Zone → Only signals between oversold & overbought levels Outside Zone → Only signals in extreme conditions Exit Zone (recommended) → Longs when momentum exits oversold Shorts when momentum exits overbought 📈 Adjustable Overbought / Oversold Levels Fully customizable threshold values Adaptable to different markets and volatility conditions 🎯 Optional Midline Filter (50 Level) Long signals only when Stoch RSI is below 50 Short signals only when above 50 Helps align trades with directional bias 🏷 Clear Visual Signals LONG labels for bullish crossovers SHORT labels for bearish crossovers Easy to spot entries directly on the chart 🔔 Built-in Alerts Bullish crossover alerts Bearish crossover alerts 🧠 How to Use Use a higher timeframe Stoch RSI (e.g. 1H–4H) for directional bias Execute trades on a lower timeframe chart (e.g. 1m–15m) Apply Exit Zone mode for cleaner, higher-quality signals Combine with structure, support/resistance, or trendlines for best results 💡 Ideal For Multi-timeframe trading strategies Momentum-based entries Filtering noisy market conditions Scalping with higher timeframe confirmation ⚠️ Notes Signals are based on closed candle data from the selected timeframe Using lower timeframes with higher timeframe signals may produce repeated labels across multiple candles
Indicador Pine Script®
por grazzeee
Stoch RSI Background Signals (Pinned HTF + Filter Modes)📊 Stoch RSI Background Signals (Pinned HTF + Filter Modes) This indicator visualises market bias using Stochastic RSI crossover signals, with the ability to pin calculations to a higher timeframe (HTF) while viewing any chart. 🔧 Key Features 🔹 Higher Timeframe (HTF) Bias Select any timeframe (e.g. 1H, 4H, Daily) to drive the background Works on lower timeframes (e.g. 1m, 5m) for multi-timeframe analysis Uses closed candles only for consistency across charts 🎨 Background Trend Visualisation 🟢 Green → Bullish momentum (long bias) 🔴 Red → Bearish momentum (short bias) Background resets automatically when momentum weakens ⚡ Flexible Signal Filtering Choose how crossover signals are filtered: No Filter → All Stoch RSI crosses Inside Zone → Only crosses between oversold & overbought Outside Zone → Only crosses in extreme areas Exit Zone → Longs when leaving oversold Shorts when leaving overbought (cleanest signals) 📈 Custom Levels Fully adjustable overbought / oversold thresholds Adaptable to different assets and trading styles 🔔 Alerts Included Bullish crossover alerts Bearish crossover alerts 🧠 How to Use This indicator is best used as a bias and confirmation tool: Set a higher timeframe (e.g. 4H) for overall direction Use lower timeframes (e.g. 1m–15m) for entries Trade in the direction of the background colour 💡 Ideal For Multi-timeframe trading strategies Momentum-based systems Filtering out choppy market conditions Traders using Stoch RSI for timing entries ⚠️ Notes Background reflects the last confirmed signal, not every bar When using HTF mode, signals update only after the higher timeframe candle closes
Indicador Pine Script®
por grazzeee
SHK CCI+RSI Merged | Dual Divergence | Pine v6━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔷 SHK CCI+RSI MERGED — CLEAN 2-LINE OSCILLATOR Built with Pine Script v6 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Why run two oscillators when one can do more? This indicator intelligently merges CCI and RSI into a single blended line — reducing chart noise while combining the strengths of both indicators into one clean, actionable signal. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 THE BLEND — HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 — RSI is normalized to the CCI scale: RSI 50 → 0 (zero / neutral line) RSI 70 → +100 (overbought boundary) RSI 30 → -100 (oversold boundary) Step 2 — Both are averaged: Blended = ( CCI + Normalized RSI ) / 2 The ±100 levels now act as the unified overbought and oversold zone for BOTH CCI and RSI together. When RSI is disabled → falls back to pure CCI. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 WHAT YOU SEE — JUST 2 LINES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● LINE 1 — CCI+RSI Blended (thick line) Color reflects momentum state in real time: 🟢 Bright Green → above MA + above zero (strong bull) 🟢 Faded Green → above MA + below zero (weak bull) 🔴 Bright Red → below MA + below zero (strong bear) 🔴 Faded Red → below MA + above zero (weak bear) ● LINE 2 — Signal MA (yellow line) EMA / SMA / WMA of the blended line. Acts as the dynamic trend filter and crossover trigger. ● HISTOGRAM — Strength Bars Plotted behind both lines. Color intensity shows how deep into overbought / oversold territory the blended line has moved. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📉 DUAL DIVERGENCE DETECTION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Two independent engines detect divergences simultaneously: 🟩 CCI+RSI Divergence (solid lines) Blended oscillator pivots compared to price pivots: • Lime solid line + "Bull Div" → Bullish divergence • Red solid line + "Bear Div" → Bearish divergence 🟦 RSI-Only Divergence (dashed lines) Raw RSI pivots detected, drawn at normalized scale: • Aqua dashed + "RSI Bull Div" → RSI bullish divergence • Orange dashed + "RSI Bear Div" → RSI bearish divergence Lookback and threshold are independently adjustable for both engines — tune to your trading style. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ ZERO LINE CROSS MARKERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔼 Green triangle (bottom) → blended crossed above 0 🔽 Red triangle (top) → blended crossed below 0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎨 EXTREME ZONE BACKGROUND ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Background shading activates at strong momentum zones: 🟢 Green shade → blended > +100 and above MA 🔴 Red shade → blended < -100 and below MA ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 ALERTS — 14 CONDITIONS READY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Strong Bullish (blended > +100 & above MA) ✅ Strong Bearish (blended < -100 & below MA) ✅ Zero cross — bullish ✅ Zero cross — bearish ✅ Blended crossed above +100 ✅ Blended crossed below -100 ✅ Overbought zone entry ✅ Oversold zone entry ✅ Exit overbought zone ✅ Exit oversold zone ✅ RSI crossed overbought level ✅ RSI crossed oversold level ✅ RSI crossed above midline (50) ✅ RSI crossed below midline (50) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ FULL SETTINGS REFERENCE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CCI Settings ├─ Length (default: 20) ├─ Source (default: HLC3) ├─ Signal MA Type (EMA / SMA / WMA) └─ Signal MA Length (default: 14) CCI Levels ├─ Overbought (default: +100) ├─ Oversold (default: -100) ├─ Upper Level (default: +100) └─ Lower Level (default: -100) RSI Settings ├─ Enable RSI blend (toggle on/off) ├─ RSI Length (default: 14) ├─ RSI Source (default: Close) ├─ RSI Overbought (default: 70) └─ RSI Oversold (default: 30) Features (each individually toggleable) ├─ Show CCI+RSI Divergences ├─ Show RSI-Only Divergences ├─ Show Trend Strength Bars ├─ Show Zero Line Cross Markers └─ Highlight Extreme Zone Background Divergence Settings ├─ Lookback bars (1–20, default: 5) ├─ CCI Divergence Threshold (default: 10) └─ RSI Divergence Threshold (default: 3) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 BEST USED WITH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Support / Resistance levels on price chart • VWAP or Volume Profile for zone confluence • Higher timeframe trend bias • Supply & Demand or Order Block frameworks • Works on all markets and all timeframes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This script is published for EDUCATIONAL and INFORMATIONAL purposes only. ❌ NOT financial advice. ❌ NOT a buy or sell recommendation. ❌ Past performance does NOT guarantee future results. Trading stocks, futures, forex, commodities and cryptocurrencies involves SUBSTANTIAL RISK OF LOSS and is not suitable for all investors or traders. The author — SHK — is NOT responsible for any trading losses or financial damages resulting from the use or misuse of this indicator. All trading decisions are SOLELY YOUR RESPONSIBILITY. You agree to use this tool entirely at YOUR OWN RISK. Consult a qualified financial advisor before making any investment or trading decisions. By using this indicator you fully accept all risks and release the author from any and all liability. 📌 TRADE SMART. MANAGE YOUR RISK. PROTECT YOUR CAPITAL. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Indicador Pine Script®
por Syed_Hussain_K
Weighted Stoch RSI + RSI MTF HybridThis indicator is a high-performance trend-following oscillator that combines Stoch RSI and Standard RSI across five different timeframes (5m, 15m, 30m, 1h, 2h). By using a weighted moving average of multiple timeframes, it filters out market noise and provides a clean, professional "Trend Matrix." How it Works: Weighted MTF Synergy: Synchronizes 5 separate timeframes. Higher timeframes (60m, 120m) are weighted more heavily to keep you on the right side of the main trend. Momentum vs. Strength: It plots the Weighted Stoch RSI (Momentum) against the Weighted RSI (Trend Strength). The interaction between these two reveals if the price action is genuinely supported by volume or just a temporary spike. The Magnet Effect: Monitor the gap between the Current RSI (Red) and the Weighted RSI (Orange). Large deviations often signal an upcoming "Mean Reversion" or a sharp correction. ---------------------------------------------------------------------------- Bu gösterge, Stoch RSI ve Standart RSI verilerini beş farklı zaman diliminde (5dk, 15dk, 30dk, 1sa, 2sa) harmanlayan yüksek performanslı bir trend takip osilatörüdür. Çoklu zaman dilimlerinin ağırlıklı ortalamasını kullanarak piyasa gürültüsünü süzer ve temiz, profesyonel bir "Trend Matrisi" sunar. Özellikler: Ağırlıklı MTF Sinerjisi: 5 farklı zaman dilimini senkronize eder. Büyük periyotlara (60dk, 120dk) verilen yüksek ağırlık sayesinde ana trendin yönünden kopmamanızı sağlar. Momentum vs. Güç: Ağırlıklı Stoch RSI (Momentum) ile Ağırlıklı RSI (Trend Gücü) arasındaki ilişkiyi ekrana taşır. Bu iki çizgi arasındaki etkileşim, fiyat hareketinin gerçek bir güçle mi desteklendiğini yoksa geçici bir sıçrama mı olduğunu netleştirir. Mıknatıs Etkisi: Mevcut RSI (Kırmızı) ile Ağırlıklı RSI (Turuncu) arasındaki makas aralığını takip ederek, fiyatın ortalamasından aşırı uzaklaştığı "tepki" noktalarını erkenden yakalar.
Indicador Pine Script®
por sselmantr
1
EagleEye-DashboardIndicator Description & Disclaimer This indicator has been developed independently for educational and personal learning purposes, based on hands-on trading experience and continuous research into multi-timeframe analysis. What this indicator does: This tool consolidates three of the most widely used technical indicators — MACD, RSI, and Stochastic Oscillator — into a single, clean dashboard view. Rather than switching between multiple charts and timeframes manually, traders can now see the status and alignment of all three indicators across multiple timeframes (MTF) at a single glance. This helps in quickly identifying trend confluence, momentum shifts, and potential entry/exit zones without cluttering your chart. Key features: Multi-Timeframe (MTF) dashboard view in one unified panel Real-time status display for MACD, RSI, and Stochastic Designed for clarity, speed, and ease of interpretation Suitable for indices, equities, forex, and crypto markets Disclaimer: This indicator is strictly developed for learning and informational purposes only. It does not constitute financial advice, investment recommendation, or a solicitation to buy or sell any financial instrument. Past performance of any signal generated by this indicator does not guarantee future results. Trading in financial markets involves substantial risk, and you may lose more than your initial investment. Always conduct your own due diligence, apply proper risk management, and consult a certified financial advisor before making any trading decisions. The author holds no responsibility for any trading losses incurred through the use of this indicator. Use at your own risk. Future Roadmap: This indicator is actively being refined. Upcoming versions will aim to improve signal accuracy, add additional confirmation layers, and expand timeframe flexibility based on user feedback and ongoing research. Developed with passion for the trading community. Regards, Ramesh Vaishya Independent Trader & Indicator Developer
Indicador Pine Script®
por Chandrandra
Crucible Convergence Engine [JOAT]Crucible Convergence Engine Introduction The Crucible Convergence Engine is an open-source multi-module convergence strategy that requires alignment across five independent analytical engines before entering a trade. It fuses a Regime Arbiter (market state classification), Directional Helix (trend direction), Pressure Reactor (volume-weighted momentum), Deviation Lattice (statistical band filter), and Fortress Grid (dynamic S/R levels) into a unified convergence scoring system. Entries only fire when all required modules agree — regime confirms a trending state, trend direction aligns, momentum confirms, price is not at a statistical extreme, and volume exceeds its gate threshold. Exits are managed through ATR-based stops and targets, an optional trailing shield, regime flip detection, lattice extreme reversal, and rail interaction exits. This strategy exists because most trading systems rely on one or two confirmation layers. A moving average crossover with an RSI filter, for example, still enters trades in ranging markets, against macro trends, or at statistical extremes. CCE addresses this by requiring convergence across five fundamentally different analytical dimensions before committing capital. The trade-off is fewer trades — but each trade has multi-dimensional confirmation behind it. Module Architecture Module 1: Regime Arbiter The Regime Arbiter classifies the market into four states using ATR percentile ranking, custom directional movement scoring, and EMA trend alignment: Kinetic Ascent: ATR percentile above the kinetic threshold, positive directional bias, fast EMA above slow EMA Kinetic Descent: Same volatility conditions but with negative directional bias Turbulence: ATR percentile above the turbulence threshold — high volatility without clear direction Equilibrium: Low volatility, no strong directional bias — ranging market A two-bar confirmation filter prevents single-bar regime flicker. When the Regime Gate is active (default), the strategy only enters trades during Kinetic Ascent or Kinetic Descent — it sits out during Turbulence and Equilibrium, avoiding the choppy conditions that destroy most trend-following systems. Module 2: Directional Helix A fast and slow moving average (EMA or SMA, configurable) determine trend direction. The strategy requires the helix to agree with the regime — a long entry needs both the regime in Kinetic Ascent AND the fast MA above the slow MA. Module 3: Pressure Reactor Volume-weighted momentum is calculated using the same logarithmic volume impact function found in the Ferrum Pressure Gauge indicator: float vwM = pChg * math.log(1 + vR * momVolSens) float mF = ta.ema(vwM, momFast) float mS = ta.ema(vwM, momSlow) float mIdx = ta.ema(mF - mS, 5) The Pressure Reactor must confirm the trade direction — bullish momentum for longs, bearish momentum for shorts. This ensures that volume-weighted price action supports the entry, not just trend direction. Module 4: Deviation Lattice A statistical band system (mean +/- standard deviation * multiplier) acts as an extreme filter. The strategy will NOT enter a long if price is already at or above the upper band (overbought), and will NOT enter a short if price is at or below the lower band (oversold). This prevents chasing extended moves that are statistically likely to revert. Module 5: Volume Gate A simple but effective filter requiring short-term volume to exceed a configurable multiple of average volume (default 1.1x). This ensures entries occur during periods of meaningful market participation, not during thin, unreliable conditions. Convergence Scoring Each module contributes a weighted score to the overall convergence percentage: Regime Arbiter: 25 points (trending state confirmed) Directional Helix: 25 points (trend direction aligned) Pressure Reactor: 25 points (momentum confirmed) Deviation Lattice: 15 points (not at statistical extreme) Volume Gate: 10 points (sufficient market participation) The convergence score is classified as FULL LOCK (90%+), STRONG (70%+), PARTIAL (50%+), or WEAK (below 50%). The dashboard displays this score in real-time so you can see how close the market is to triggering an entry even before it fires. Entry conditions require ALL modules to align simultaneously. Entries are edge-triggered — they fire only on the transition from non-convergent to convergent, preventing re-entry on the same signal. Risk Architecture ATR Shield (Stop Loss): Initial stop placed at entry price minus ATR * Shield Multiple (default 2.0x ATR). This adapts stop distance to current volatility. ATR Objective (Take Profit): Target placed at entry price plus ATR * Objective Multiple (default 3.0x ATR). The default 1:1.5 risk-reward ratio (2.0 stop vs 3.0 target) provides positive expectancy even with moderate win rates. Trailing Shield: When enabled, an ATR-based trailing stop ratchets in the direction of the trade. For longs, the trail is set at close minus ATR * Trail Multiple, and it only moves up, never down. This locks in profits during extended moves. Regime Flip Exit: If the Regime Arbiter flips to the opposite state (e.g., from Kinetic Ascent to Kinetic Descent while in a long), the position is closed immediately. This is a structural exit — the market environment that justified the entry no longer exists. Lattice Extreme Exit: If price reaches the opposite statistical extreme (upper band for longs, lower band for shorts), the position is closed. This captures profits at statistically extended levels. Rail Interaction Exit: If price enters the proximity zone of the opposing Fortress Grid rail (ceiling for longs, floor for shorts), the position is closed. This respects dynamic support/resistance levels. Strategy Default Properties These are the default settings used in the strategy's Properties dialog: Initial Capital: TradingView default Order Size: 10% of equity per trade (percent_of_equity) Pyramiding: 0 (no stacking — one position at a time) Commission: Not set by default — users should configure realistic commission for their instrument Slippage: Not set by default — users should add realistic slippage for their instrument Margin: margin_long=0, margin_short=0 (v5-equivalent behavior) Calc on Every Tick: false (confirmed bars only) Process Orders on Close: true Important: Users should set realistic commission AND slippage values in the strategy Properties before evaluating backtest results. The default results without commission/slippage will overstate performance. A commission of 0.04-0.1% per side and 1-3 ticks of slippage is reasonable for most liquid instruments. Command Panel (Dashboard) A 13-row monospace dashboard displays the complete strategy state: SCORE: Convergence classification with percentage (FULL LOCK / STRONG / PARTIAL / WEAK) REGIME: Current market state (Kinetic Ascent, Kinetic Descent, Turbulence, Equilibrium) HELIX: Trend direction (Ascent / Descent) PRESSURE: Momentum direction (Ascent / Descent) LATTICE: Band filter state (Clear / Ceiling Hit / Floor Hit) Z-SCORE: Current statistical deviation from mean VOL GATE: Volume gate status with current ratio (Open / Closed) POSITION: Current trade status (Long / Short / Flat) AGE: Bars since entry SHIELD: Current ATR-based stop distance TRAIL: Current trailing stop price (if active) DIR BIAS: Raw directional movement bias score Input Parameters Regime Arbiter: Dispersion Epoch / Rank Horizon / Kinetic Threshold / Turbulence Threshold / Regime Gate Active Directional Helix: Lead Filament / Anchor Filament / Filament Type (EMA or SMA) Pressure Reactor: Ignition Cycle / Sustain Cycle / Flux Epoch / Flux Amplifier Deviation Lattice: Lattice Depth / Sigma Aperture / Lattice Extreme Exit toggle Fortress Grid: Grid Anchor / Grid Increment / Proximity Radius / Rail Interaction Exit toggle Risk Architecture: Shield Multiple (stop) / Objective Multiple (target) / Risk Epoch (ATR period) / Trailing Shield toggle / Trail Multiple Volume Gate: Require Volume Confirmation / Volume Gate Threshold How to Use This Strategy Start by setting realistic commission and slippage in the strategy Properties before evaluating any backtest results. Adjust the Grid Increment in the Fortress Grid module to match your instrument (500-1000 for BTC, 50-100 for stocks, etc.). Monitor the Convergence Score in the dashboard — it shows how close the market is to triggering an entry. STRONG readings (70%+) that haven't yet reached FULL LOCK often precede entries by a few bars. The Regime Gate is the most impactful filter. Disabling it will produce more trades but in lower-quality market conditions. Keep it enabled unless you have a specific reason to trade ranging/volatile markets. Experiment with the Shield and Objective multiples to find the risk-reward ratio that matches your trading style. Higher Objective multiples produce fewer but larger winners; lower multiples produce more frequent but smaller wins. The Trailing Shield is most valuable in trending markets where moves extend beyond the initial target. In choppy markets, it may give back profits. Consider disabling it if the instrument tends to mean-revert quickly. Limitations and Honest Assessment Multi-module convergence produces fewer trades. On some instruments and timeframes, the strategy may go extended periods without a signal. This is by design — it prioritizes quality over quantity. Backtest results are hypothetical and do not account for real-world execution challenges including partial fills, requotes, and market impact. The strategy uses process_orders_on_close=true, which means orders execute at the close of the signal bar. In live trading, you would need to enter at the open of the next bar, which introduces slippage. Past performance shown in backtests does not guarantee future results. Market conditions change, and strategies that worked historically may underperform in different regimes. The default settings are not optimized for any specific instrument or timeframe. Users should test across multiple datasets and adjust parameters to their specific use case. The Regime Arbiter and all other modules use lagging indicators. Entries will always occur after a trend has begun, not at the exact bottom or top. No strategy works in all market conditions. CCE is designed for trending markets and will underperform during extended ranging or highly volatile periods. Originality Statement This strategy is original in its five-module convergence architecture. While individual components (ATR regime classification, MA crossovers, volume-weighted momentum, statistical bands, EMA-derived levels) are established concepts, CCE is justified because: The five-module convergence scoring system requires alignment across fundamentally different analytical dimensions (volatility regime, trend, momentum, statistics, structure) before entering — a more rigorous entry filter than typical dual-confirmation systems. The weighted convergence score provides a quantified readiness metric that communicates how close the market is to a valid entry, even when not all conditions are met. Four distinct exit mechanisms (ATR stop/target, trailing shield, regime flip, lattice extreme, rail interaction) provide layered risk management that adapts to different exit scenarios. The Regime Arbiter gate prevents trading during Turbulence and Equilibrium states, addressing the primary failure mode of trend-following strategies. Edge-triggered entries with two-bar regime confirmation prevent re-entry on the same signal and eliminate single-bar flicker. The comprehensive 13-row dashboard provides full transparency into every module's state, the convergence score, and the current risk parameters. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Backtest results are hypothetical, do not represent actual trading, and do not guarantee future performance. Past results in no way guarantee future results. Commission, slippage, and other real-world costs will reduce actual performance below what backtests show. Always use proper risk management, including position sizing appropriate for your account and risk tolerance. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this strategy. -Made with passion by officialjackofalltrades
Estrategia Pine Script®
por officialjackofalltrades
Stoch RSI Cross Signals (Simple)Stoch RSI Cross Signals (with Midline Filter) This indicator generates buy and sell signals based on Stochastic RSI crossovers. A LONG signal appears when the K line crosses above the D line, and a SHORT signal appears when K crosses below D. An optional Stoch RSI 50 midline filter helps refine signals: Long signals only trigger when momentum is below 50 Short signals only trigger when momentum is above 50 This reduces noise and aligns entries with directional momentum, making signals cleaner and more reliable.
Indicador Pine Script®
por grazzeee
Stoch RSI Background Signals (Simple)Stoch RSI Background Signals (Simple) This indicator visualises market direction using Stochastic RSI crossovers. When the fast line (K) crosses above the slow line (D), the chart background turns green, signalling bullish momentum. When K crosses below D, the background turns red, indicating bearish momentum. The background colour persists until the next opposing crossover, providing a clear and continuous view of trend bias without cluttering the chart with labels.
Indicador Pine Script®
por grazzeee
Stochastic Divergence (live) AAWhat it does: This script detects live regular bullish and bearish divergence between price and a smoothed Stochastic D line. It uses confirmed fractal swing highs and lows on price to define the first anchor point of the divergence, and those pivot settings can be adjusted in the UI. The first pivot is confirmed, but the second pivot is live, so the script can identify divergence as it is forming rather than waiting for a second confirmed swing. A bullish divergence is found when price makes a lower low while the Stochastic D makes a higher low. A bearish divergence is found when price makes a higher high while the Stochastic D makes a lower high. The oscillator used here is a double-smoothed Stochastic D built from TradingView’s built-in stochastic calculation. Instead of using the close as the source, it uses ohlc4, which helps reduce some of the wick-driven noise that can make divergence readings less consistent. If you want to compare or debug the signals against TradingView’s built-in Stochastic, make sure to change its source from close to ohlc4 so the readings line up properly. This script uses a double invalidation model. A divergence setup is cleared not only when the Stochastic D loses its side of the 50 line, but also when price breaks the structure of the latest anchor pivot bar in the opposite direction. That combination helps reset the setup faster, keeps stale divergence from lingering, and makes the active signals more structurally relevant. How to use: Use this script as a price-action context tool, not as a blind entry or exit trigger. Bullish divergences tend to matter most when they appear after an extended move down and line up with support, liquidity sweeps, equal lows, demand zones, or other signs of downside exhaustion. Bearish divergences tend to matter most when they appear after an extended move up and line up with resistance, equal highs, trapped breakouts, supply zones, or other signs of upside exhaustion. The Pivot Left and Pivot Right settings control how strict the first anchor pivot is, with higher values giving fewer but more confirmed structures and lower values making the script more reactive. The Min and Max Bar Distance settings control how far apart the anchor point and the live opposing price extreme can be, which helps filter out weak or overly stretched divergence structures. It works best when combined with structure, location, and real price behavior around an important level, rather than used in isolation. These are my own takes on widely used market calculations and are not meant to be a standalone trading system. If you found this useful, leave a like 🚀 and follow for more. Thanks, and good luck on your trading journey.
Indicador Pine Script®
por Alex_Algo
RSI + Stoch RSI Arrows (AND / OR Toggle)Get a BUY signal (green arrow) when Stoch RSI & RSI is low to enter trades at a discount. Get a SELL signal (red arrow) when Stoch RSI & RSI is high to exit trades at a premium. Fully adjustable. - Can use Stoch RSI AND/OR RSI values for signals. - Can adjust values for Stoch RSI and RSI conditions. For example, high momentum stocks may require a higher RSI value to enter trades during pull backs. - Can adjust for timeframes. For example, lower timeframes are more volatile and appropriate for scalping and entries. Higher timeframes can be used for swing trading.
Indicador Pine Script®
por woodro87
Sol 3m scalping wunder botsThis script is a scalping trader useful for Solana 3M charts. It integrates well with Wunder bots. Please use SOLUSDT.P. Risk Management Capital ($) — Default: 1000 Your total trading capital in USD. This is the base number used to calculate position sizes. If you have $5,000 allocated to this strategy, set it to 5000. The strategy uses this value to determine how much to risk per trade — it does not automatically detect your exchange balance. Risk per Trade (%) — Default: 1.0% The maximum percentage of your capital you're willing to lose on a single trade. At default settings ($1,000 capital, 1% risk), each trade risks a maximum of $10. The strategy calculates position size backward from this: it measures the distance from entry to stop loss, then sizes the position so that if the stop is hit, you only lose this percentage. This is the single most important risk parameter — professional traders typically recommend 1-2%. Example: Capital = $1,000, Risk = 1%, ATR stop distance = 2% from entry. Position size = $10 / 0.02 = $500. Risk:Reward Ratio — Default: 2.0 Determines your take profit distance relative to your stop loss. At 2.0, your TP is always 2x the distance of your SL. If your stop loss is $50 away from entry, your take profit is $100 away. Higher values mean bigger wins but lower win rate; lower values mean more frequent wins but smaller. A 2:1 ratio means you can be wrong 60% of the time and still be profitable. Leverage — Default: 5x The leverage multiplier sent to WunderTrading via JSON. This does not affect the TradingView backtest (backtests are unleveraged), but when the alert fires to WunderTrading, this value is included in the JSON payload so your exchange position opens at the specified leverage. On platforms like Hyperliquid or dYdX, this directly controls your margin. Max Daily Loss (%) — Default: 3.0% A circuit breaker. If your cumulative realized losses for the current day exceed this percentage of capital, the strategy stops opening new positions for the rest of that day. At defaults, if you've lost $30 today (3% of $1,000), no more trades until midnight UTC reset. This prevents tilt/revenge trading during losing streaks. Max Open Positions — Default: 5 The maximum number of trades that can be open simultaneously. If you have 5 positions open and a new signal fires, it's ignored until one of the existing positions closes (hits TP or SL). Setting this higher increases potential profit but also increases total capital at risk. With 5 positions at 1% risk each, your maximum simultaneous risk is 5%. This script is provided for educational purposes only. Do not think of this as a money-making machine. Please leave lots of comments.
Estrategia Pine Script®
por WW_AM-WANG
Stochastic RSI with alerts - Danny GeeStochastic RSI — Zone Signal Edition The classic Stoch RSI with visual alerts built in so you never miss a key momentum shift. Features: Standard Stoch RSI (K & D lines) with configurable lengths and smoothing Zone entry candle colouring — price candles colour the moment K enters overbought (>80) or oversold (<20), so you see the signal on the main chart without watching the indicator pane Zone exit candle colouring — separate colour fires when K crosses back out of the zone, flagging the potential momentum reversal point BUY/SELL arrows plotted inside the indicator pane on zone entry for extra visibility All colours fully customisable and independently toggleable Signals: 🔴 Candle + SELL arrow — K enters overbought zone (>80) — look for sell FVG 🟢 Candle + BUY arrow — K enters oversold zone (<20) — look for buy FVG 🟠 Candle — K exits overbought — momentum fading, potential move beginning 🩵 Candle — K exits oversold — momentum fading, potential move beginning Alerts included for all four conditions.
Indicador Pine Script®
por DJG9911
QTP - Stochastic RSIQTP - Stochastic RSI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 Overview The QTP Stochastic RSI applies a Stochastic oscillator to RSI values rather than raw price — producing a faster, more sensitive momentum reading that catches overbought and oversold conditions earlier than either indicator alone. Designed with a high-contrast dark panel and electric blue/hot pink color scheme for instant visual clarity during fast-moving markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ How It Works The indicator first calculates a standard RSI over a configurable period, then runs a Stochastic calculation on that RSI output. This double-processing amplifies momentum shifts — the Stochastic RSI reaches 0 and 100 far more frequently than a standard RSI, making it more responsive to turning points. The %K line (electric blue) represents the smoothed Stochastic of RSI. The %D line (hot pink) is a moving average of %K, acting as a signal line. Crossovers between %K and %D at overbought or oversold extremes mark potential reversal zones. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Key Features ◆ RSI-Based Stochastic — Stochastic calculation applied to RSI values instead of price, producing a more sensitive and earlier-reacting oscillator ◆ Independent Length Controls — RSI Length and Stochastic Length are configured separately, giving full control over the indicator's responsiveness and smoothing ◆ Smoothed %K and %D Lines — Adjustable K and D smoothing factors to tune signal quality from aggressive (low smoothing) to conservative (high smoothing) ◆ High-Contrast Dark Panel — Black background fill between the OB/OS bands creates a clean, high-visibility display that stands out on any chart theme ◆ Electric Blue / Hot Pink Color Scheme — Purpose-chosen colors that are visually distinct from each other and from standard chart elements, reducing eye strain during extended sessions ◆ Configurable Levels — Upper band, lower band, and middle reference line are all adjustable inputs — not hardcoded — so you can fine-tune thresholds to match your trading style ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 How To Use Add the indicator to your chart — it appears in a separate lower panel with a dark background for contrast. Watch for %K (blue) crossing above %D (pink) below the lower band — this signals a potential bullish reversal from oversold conditions. Watch for %K (blue) crossing below %D (pink) above the upper band — this signals a potential bearish reversal from overbought conditions. Crossovers in the middle zone (20-80) indicate momentum shifts but carry less conviction than crosses at the extremes. For scalping and intraday, lower the RSI Length and Stochastic Length (e.g. 7/7) for faster signals. For swing trading, keep the defaults (14/14) or increase for smoother readings. Adjust the K and D smoothing to control noise — lower values (1-2) give raw, fast signals while higher values (5-7) produce cleaner but slower crossovers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Settings Overview ◆ K Smoothing — Smoothing applied to the raw Stochastic of RSI (default: 3) ◆ D Smoothing — Signal line smoothing applied to %K (default: 3) ◆ RSI Length — Lookback period for the underlying RSI calculation (default: 14) ◆ Stochastic Length — Lookback period for the Stochastic applied to RSI (default: 14) ◆ RSI Source — Price source for RSI calculation (default: close) ◆ Upper Band — Overbought threshold (default: 80) ◆ Middle Band — Neutral reference line (default: 50) ◆ Lower Band — Oversold threshold (default: 20) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool designed to assist with market analysis. It does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and perform your own due diligence before making trading decisions.
Indicador Pine Script®
por QTP-CB
Alpha Relative Strength & Performance [Pineify]Alpha Relative Strength & Performance The Alpha Relative Strength & Performance (Alpha RSP) indicator is a dual-metric relative strength analysis tool that measures both an asset's outperformance ratio and its momentum trajectory against a user-defined benchmark — providing a complete, four-quadrant classification of relative strength state. Inspired by the Relative Rotation Graph (RRG) methodology developed by Julius de Kempenaer, Alpha RSP distills the two-dimensional RRG framework into a single-pane oscillator that traders can apply to any asset and any benchmark. Instead of simply comparing price returns, the indicator computes a double-smoothed RS Ratio (where the asset sits relative to its own trend of outperformance) and an RS Momentum reading (whether that outperformance is accelerating or decelerating). Together, these two metrics classify the asset into one of four states — Strong, Improving, Weakening, or Weak — with color-coded plotting, area fills, crossover signals, and a real-time dashboard table. This gives traders an objective, quantitative framework for sector rotation, pair trading, and relative performance timing. Key Features Double-smoothed RS Ratio oscillator — uses two layers of Weighted Moving Average (WMA) smoothing on the raw price ratio to produce a stable, noise-resistant measure of relative outperformance centered around the 100 equilibrium line. RS Momentum (second derivative) — calculates the rate of change of the RS Ratio itself, revealing whether outperformance is accelerating or decelerating before the RS Ratio line visually turns. Four-quadrant state classification — categorizes the asset into Strong (Leading), Improving, Weakening, or Weak (Lagging) based on the combination of RS Ratio and RS Momentum relative to 100, mirroring the proven RRG quadrant system. Momentum-confirmed crossover signals — bullish entry signals require the RS Ratio to cross above 100 with pre-confirmed positive momentum; bearish exit signals require a cross below 100 with pre-confirmed negative momentum, filtering out low-conviction transitions. Net Performance delta — independently calculates bar-by-bar alpha (asset return minus benchmark return) as a supplementary metric displayed in the info table. Real-time dashboard table — a four-row info panel displays the current quadrant state, RS Ratio value, RS Momentum value, and net performance percentage, all color-coded for instant visual assessment. Flexible benchmark selection — compare against any symbol available on TradingView (SPY, QQQ, BTCUSD, sector ETFs, etc.), making the indicator applicable to equities, crypto, forex, and commodities. Built-in alert conditions — four configurable alerts cover bullish entries, bearish exits, and sustained strong/weak state detection for hands-free monitoring. How It Works The indicator follows a multi-stage calculation pipeline that transforms a raw price ratio into a classified relative strength state: Benchmark data sourcing: The benchmark's closing price is fetched using request.security() with a one-bar lookback and lookahead enabled. This ensures only confirmed (already closed) benchmark data is used, preventing repainting. A validity check guards against missing data, falling back to neutral values (1.0 for ratios, 100 for normalized metrics) when the benchmark is unavailable. Relative Strength (RS) calculation: The raw RS is computed as Asset Close / Benchmark Close. A rising RS means the asset is gaining value faster (or losing value slower) than the benchmark. This raw ratio is then smoothed with a Weighted Moving Average (WMA) of configurable length to establish the asset's trend of relative performance. RS Ratio normalization: The RS Ratio measures where the current RS sits relative to its own WMA trend: RS_Ratio = WMA(RS / WMA_RS) × 100. Values above 100 indicate the asset is outperforming its own recent relative trend (leading); values below 100 indicate underperformance (lagging). The double WMA smoothing — first on the raw RS, then on the ratio — significantly reduces noise while preserving responsiveness. RS Momentum derivation: RS Momentum is the rate of change of the RS Ratio: RS_Mom = RS_Ratio / WMA(RS_Ratio) × 100. This "second derivative" of relative strength reveals whether the RS Ratio is accelerating (above 100) or decelerating (below 100). Momentum turns often precede RS Ratio turns, providing an early warning of quadrant transitions. State classification and signal generation: The combination of RS Ratio and RS Momentum relative to the 100 baseline classifies the asset into one of four quadrants. Crossover signals are generated when the RS Ratio crosses the 100 line with momentum confirmation from the previous bar, ensuring entries and exits occur only during high-conviction quadrant transitions. Trading Ideas and Insights Sector rotation timing: Apply Alpha RSP to sector ETFs (XLK, XLF, XLE, etc.) against SPY as the benchmark. Assets in the Strong quadrant (green) are the current market leaders — favor long positions in these sectors. Assets in the Weak quadrant (red) are lagging — avoid or consider short positions. The quadrant rotation (Strong → Weakening → Weak → Improving → Strong) follows a predictable clockwise pattern that can be used to anticipate sector leadership changes. Pair trading confirmation: When comparing two correlated assets, use Alpha RSP on one asset with the other as the benchmark. A sustained Strong state suggests going long the asset and short the benchmark; a sustained Weak state suggests the reverse. The crossover signals provide specific entry and exit timing for the pair trade. Momentum-based entries: The bullish entry signal (green circle) fires when the RS Ratio crosses above 100 with positive momentum — this is the moment the asset transitions into the Strong quadrant. Historically, assets entering the Strong quadrant tend to continue outperforming for multiple bars, making this a high-probability entry point for relative outperformance trades. Early warning via momentum divergence: Monitor the RS Momentum independently. When an asset is in the Strong quadrant but RS Momentum drops below 100, it transitions to Weakening (yellow) — outperformance is decelerating even though the asset still leads. This early warning allows traders to tighten stops or reduce position size before the RS Ratio itself crosses below 100. Benchmark-relative alpha tracking: The Net Performance row in the info table shows the bar-by-bar return difference between the asset and benchmark. Use this to monitor whether your holdings are generating positive alpha on each bar, independent of the smoothed RS calculations. How Multiple Indicators Work Together Alpha RSP integrates several analytical components into a unified relative strength assessment system, each serving a distinct purpose: Weighted Moving Average smoothing (trend extraction): WMA is applied twice in the calculation chain — first to smooth the raw RS ratio, then to normalize the RS Ratio and compute RS Momentum. WMA was chosen over SMA or EMA because its linear weighting scheme provides a good balance between responsiveness and smoothness. The double application creates a cascading filter that removes short-term noise while preserving the medium-term trend of relative performance. RS Ratio (position measurement): The RS Ratio answers the question "is the asset currently outperforming or underperforming its own recent relative trend?" By normalizing the raw RS against its WMA, the indicator creates a mean-reverting oscillator centered at 100 that is comparable across different assets and timeframes — regardless of the absolute price levels of the asset and benchmark. RS Momentum (direction measurement): The RS Momentum answers the question "is the relative outperformance getting better or worse?" This second derivative adds the critical directional dimension that the RS Ratio alone cannot provide. An asset can be above 100 (leading) but with momentum below 100 (weakening) — meaning it still outperforms but is losing its edge. This distinction is what enables the four-quadrant classification. Crossover signals with momentum confirmation (timing mechanism): Raw crossovers of the RS Ratio above/below 100 would generate signals at every quadrant boundary. By requiring momentum confirmation from the previous bar, the signal filter ensures that only transitions into the Strong quadrant (bullish) or Weak quadrant (bearish) generate signals — skipping the ambiguous transitions into Improving or Weakening states. The synergy is hierarchical: raw price ratio → WMA-smoothed trend → normalized RS Ratio (position) → RS Momentum (direction) → four-quadrant classification → momentum-confirmed crossover signals. Each layer adds a dimension of analysis, and the final signals require alignment across all layers — the asset must cross the outperformance threshold AND have confirmed momentum direction to trigger. Unique Aspects RRG methodology in a single pane: Traditional Relative Rotation Graphs require a two-dimensional scatter plot with RS Ratio on the x-axis and RS Momentum on the y-axis. Alpha RSP condenses this into a standard oscillator pane by plotting the RS Ratio as the primary line and encoding the momentum dimension through color (four-quadrant coloring). This makes the RRG framework accessible within TradingView's standard indicator layout without losing the quadrant classification. Double WMA smoothing architecture: Most relative strength indicators use a single smoothing pass (e.g., SMA or EMA of the price ratio). Alpha RSP's double WMA approach — smoothing the raw RS, then smoothing the normalized ratio — creates a more stable oscillator that filters out short-term noise while remaining responsive to genuine trend changes in relative performance. Non-repainting benchmark data: The indicator fetches benchmark data with a one-bar offset (close ) and lookahead enabled, ensuring that only confirmed historical data is used. This prevents the common repainting issue where indicators using request.security() produce different historical signals depending on when they are loaded. Momentum-confirmed signals: Unlike simple ratio crossover systems, Alpha RSP requires the previous bar's momentum to confirm the direction of the crossover. This dual-condition filter significantly reduces false signals during choppy, mean-reverting relative performance periods where the RS Ratio oscillates around 100 without establishing a clear trend. How to Use Add the indicator to your chart. It appears in a separate pane below the price chart, displaying the RS Ratio line, a dashed equilibrium baseline at 100, and a color-coded area fill. Set the Benchmark Symbol to the index or asset you want to compare against. Use SPY for broad US equity comparison, QQQ for tech-weighted comparison, BTCUSD for crypto relative analysis, or any other symbol relevant to your trading universe. Adjust the Calculation Window based on your trading timeframe. The default of 14 works well for daily charts. Use shorter values (7–10) for intraday or short-term swing trading; use longer values (21–50) for position trading or weekly charts. Monitor the line color for the current quadrant state: green = Strong (outperforming with rising momentum), blue = Improving (underperforming but momentum turning positive), yellow = Weakening (outperforming but momentum fading), red = Weak (underperforming with falling momentum). Watch for green circle signals — these mark Bullish Entry points where the RS Ratio crosses above 100 with confirmed positive momentum, indicating the asset is entering the Strong quadrant. Consider initiating or adding to long positions relative to the benchmark. Watch for red circle signals — these mark Bearish Exit points where the RS Ratio crosses below 100 with confirmed negative momentum, indicating the asset is entering the Weak quadrant. Consider reducing exposure or exiting positions. Check the info table in the bottom-right corner for a real-time summary of the current state, RS Ratio, RS Momentum, and net performance values. Set up alerts using the four built-in alert conditions to receive notifications for bullish entries, bearish exits, or sustained strong/weak states without watching the chart. Customization Benchmark Symbol (default: SPY): The reference asset for relative strength comparison. Choose a benchmark that represents the market or sector you want to measure outperformance against. For equity traders, SPY or a sector ETF is typical. For crypto traders, BTCUSD provides a relative strength reading against the dominant cryptocurrency. Calculation Window (default: 14): Controls the WMA smoothing period for both the RS Ratio and RS Momentum calculations. Lower values (7–10) produce a more volatile, responsive oscillator that captures short-term relative strength shifts — suitable for active trading. Higher values (21–50) produce a smoother oscillator that focuses on medium-term relative trends — suitable for position trading and sector rotation strategies. Quadrant Colors: All four quadrant colors are fully customizable. The default scheme (green/blue/yellow/red) follows the standard RRG color convention, but you can adjust these to match your chart theme or personal preference. Colors are applied to the RS Ratio line, area fill, signal markers, and info table simultaneously. Conclusion The Alpha Relative Strength & Performance indicator brings the proven Relative Rotation Graph methodology into a streamlined, single-pane oscillator format. By computing both an RS Ratio (where the asset stands relative to its benchmark trend) and an RS Momentum (whether that standing is improving or deteriorating), it provides a complete four-quadrant classification of relative strength that goes far beyond simple price ratio comparison. The double WMA smoothing architecture delivers clean, noise-resistant readings, while momentum-confirmed crossover signals filter out low-conviction transitions. Whether you are timing sector rotations, managing pair trades, or simply tracking whether your holdings are generating alpha relative to a benchmark, Alpha RSP provides an objective, quantitative framework for relative performance analysis across any market and timeframe.
Indicador Pine Script®
por Pineify
1
Nifty Alpha Swing BotIt is the trading bot designed to work with nifty with perameter set for Nifty for swing trading with ideal time frames as 1 Hr and/or 3 Hr. Startgy is defiend with Entry logic, Stop loss logic and traile logic once the trade becomes +ve. It considers fast ema-fEma (50) and slow ema-sEma (200) in a perticular time frame, Daily EMA 50, Stock RSI, ADX etc. Bull or Bear entry logic is defined as follows. trendBull = fEma > sEma and adx > adxThreshold and (not useDailyFilter or dailyBull) trendBear = fEma < sEma and adx > adxThreshold and (not useDailyFilter or dailyBear) Long or Short signals are defined as follows (It considers StockRSI crossover longSignal = inSession and trendBull and stochCrossOver and stochK < stochLevel shortSignal = inSession and trendBear and stochCrossUnder and stochK > (100 - stochLevel) Once the trade is placed, it then puts SL defined by multiplier x ATR and once the trade becomes +ve above offset level, it will start trailing the SL. NoReco-just sharing for learning and backtesting.
Estrategia Pine Script®
por Kru-KB
2