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Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear) Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style) This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays: ✅ Williams %R (10-period) – Yellow Line This oscillator measures the market's position relative to recent highs and lows. It plots on a 0% to 100% scale, where: 80–100% → Overbought region 20–0% → Oversold region 50% → Momentum equilibrium Williams %R helps identify exhaustion, trend strength, and potential reversal zones. ✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars %B shows where price is trading relative to the Bollinger Bands: Above 50% → Price is in the upper half of the band (bullish pressure) Below 50% → Price is in the lower half (bearish pressure) Near 100% → Price pushing upper band (possible breakout) Near 0% → Price testing lower band (possible breakdown) The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength. 🎯 Why This Combination Works Together, Williams %R and Bollinger %B reveal: Momentum direction Overbought/oversold conditions Volatility compression & expansion Trend continuation vs reversal zones High-probability inflection points Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands. The combination helps identify whether momentum supports the current trend or is weakening. 🔍 Use Cases Detect early trend reversals Validate breakouts and breakdowns Spot momentum failure in price extremes Confirm pullbacks and continuation setups Time entries and exits with higher precision 💡 Best For Swing traders Momentum traders Trend-followers Options traders (for timing premium decay or volatility expansion)
Индикатор Pine Script®
от gadielvasquez1988
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
Индикатор Pine Script®
от indexrate
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
Стратегия Pine Script®
от Hash_Capital
Triple 9 Bias filter Triple 9 Bias – Precision Multi-Timeframe Directional Filter Technical Overview The Triple 9 Bias is a precision multi-timeframe directional filter built exclusively for 5-minute (and lower) trading. It stacks three EMA-9 trend directions (4H + 1H + 15m) as Primary confluence and uses only the 4H RSI-14 as Secondary confirmation. Integrity Check: Zero repaint · Zero lookahead · Works identically on any chart timeframe. The Trading Rule (Simple) Long Trades: Only trade longs when all three EMA-9s are UP + 4H RSI > 50 Short Trades: Only trade shorts when all three EMA-9s are DOWN + 4H RSI < 50 Otherwise — stand aside. Display Components A. Plotted Higher-Timeframe EMAs (No Repainting) All values are pulled from closed higher-timeframe bars. 4H EMA 9 (Red step-line) 1H EMA 9 (Purple step-line) 15m EMA 9 (Orange step-line) B. Locked Dashboard (Bottom-Right) Clean table split into Primary and Secondary sections for instant bias reading. Colour Logic: 🟢 Lime = UP / BUY 🔴 Red = DOWN / SELL Background Logic: Full Green: Only when all three EMA-9s are UP Full Red: Only when all three EMA-9s are DOWN Gray: Otherwise = no trade Indicator Breakdown 3.1. Primary Confluence – EMA 9 Slope 4H EMA 9 direction (compared 10 bars back) 1H EMA 9 direction (compared 6 bars back) 15m EMA 9 direction (compared 6 bars back) 3.2. Secondary Confluence 4H RSI-14 vs 50 level (BUY if >50, SELL if <50) High-Probability Signal: When Primary = all three “UP” and Secondary = “BUY” → highest-probability bullish bias (and vice-versa for bearish).
Индикатор Pine Script®
от djdickenson82
Squeeze Momentum Strategy [PickMyTrade]Squeeze Momentum Strategy Overview This strategy is a complete trading system built upon John Carter's renowned "TTM Squeeze" momentum indicator, as featured in his book "Mastering the Trade". The PickMyTrade team has transformed this popular indicator into a fully automated strategy with an additional trend filter for improved accuracy. What Makes This Different? While the original TTM Squeeze indicator helps identify volatility contractions and momentum direction, our strategy adds a critical enhancement: 50-Period MA Trend Filter – We only take trades in the direction of the dominant trend: Long trades: Only when momentum crosses above zero AND price is above the 50 MA Short trades: Only when momentum crosses below zero AND price is below the 50 MA This simple addition helps filter out counter-trend signals and improves the win rate significantly. How It Works The Squeeze Detection Black crosses = Squeeze is ON (Bollinger Bands compressed inside Keltner Channel) – Market is coiling, preparing for a breakout Gray crosses = Squeeze is OFF – Volatility is normal Blue crosses = No Squeeze condition Momentum Histogram Green/Lime bars = Bullish momentum (above zero) Red/Maroon bars = Bearish momentum (below zero) Color intensity shows momentum strength increasing/decreasing Entry Signals Long Entry (Green Triangle): Momentum crosses above zero + Price > 50 MA Short Entry (Red Triangle): Momentum crosses below zero + Price < 50 MA Key Features Automatic position management (closes opposite positions before new entries) Visual entry markers on chart Histogram color-coding for quick momentum assessment Trend filter to avoid choppy, counter-trend trades Prop firm friendly (conservative approach) Works on all timeframes Recommended Settings Timeframes: 15M, 1H, 4H, Daily (higher timeframes produce more reliable signals) Markets: Works best on trending markets (Forex, Crypto, Stocks, Indices) Risk Management: Default 10% of equity per trade – adjust based on your risk tolerance Input Parameters BB Length (20): Bollinger Bands calculation period BB MultFactor (2.0): Bollinger Bands standard deviation multiplier KC Length (20): Keltner Channel calculation period KC MultFactor (1.5): Keltner Channel ATR multiplier Use TrueRange: Use True Range for KC calculation (recommended: ON) MA Filter Length (50): Trend filter moving average period Usage Tips Wait for the squeeze release (first gray cross after black crosses) for the most explosive moves Combine with higher timeframe confirmation for better trade quality Consider exit strategies: Exit when histogram changes color OR use fixed stop-loss/take-profit Best on trending markets: Avoid ranging/choppy conditions Credits Original TTM Squeeze concept: John Carter ("Mastering the Trade") Strategy enhancement & development: PickMyTrade Team About PickMyTrade Strategy Automation: If you like automation, you can use pickmytrade.io for automating your stock, crypto, futures, and options trading Supported brokers: Rithmic, TradeStation, TradeLocker, Interactive Brokers, ProjectX For Tradovate broker automation, visit pickmytrade.trade Transform your TradingView strategies into fully automated trading systems with real-time execution. Disclaimer This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and test thoroughly on a demo account before live trading. Developed by PickMyTrade Team
Стратегия Pine Script®
от pickmytrade_io
Tactical Deviation🎯 TACTICAL DEVIATION - Volume-Backed VWAP Deviation Analysis What Makes This Different? Unlike basic VWAP indicators, Tactical Deviation combines: • Multi-timeframe VWAP deviation bands (Daily/Weekly/Monthly) • Volume spike intelligence - signals only appear with volume confirmation • Pivot reversal detection at deviation extremes • Optional multi-VWAP confluence system • Smart defaults for quality over quantity This unique combination filters weak setups and identifies high-probability entries at extreme price deviations from fair value. 📊 DEFAULT SETTINGS (Ready to Use) ✅ Daily VWAP with ±2σ deviation bands ✅ Volume spike detection (1.5x average required) ✅ 2σ minimum deviation for signals ❌ Weekly/Monthly VWAPs (enable for multi-timeframe) ❌ Pivot reversal requirement (enable for stronger signals) ❌ Fill zones (optional visual enhancement) Why: Daily VWAP is most relevant for intraday trading. 2σ bands catch meaningful moves. Volume spikes ensure conviction. Clean chart focuses on what matters. 🚀 HOW TO USE BASIC USAGE: • Green triangles (below bars) = Long signals at oversold deviations • Red triangles (above bars) = Short signals at overbought deviations SIGNAL QUALITY: • Normal size, bright colors = Volume spike (best quality) • Small size, lighter colors = Volume momentum • Tiny size = No volume confirmation DEVIATION ZONES: • ±2σ = Extreme deviation (signals appear here) • ±1σ to ±2σ = Extended but not extreme • Within ±1σ = Normal range TRADING APPROACHES: Mean Reversion: → Enter when price reaches ±2σ with volume spike → Target: Return to VWAP or opposite band → Stop: Beyond extreme deviation Trend Continuation: → Use bands to identify pullbacks → Enter pullback to VWAP in trending market → Volume confirms continuation Reversal Trading: → Enable "Require Pivot Reversal" for stronger signals → Signals only when deviation + pivot reversal occur → Higher probability, fewer signals ⚙️ EXPLORE SETTINGS FOR FULL USE VWAP SETTINGS: • Show Weekly/Monthly VWAP = Multi-timeframe context • Show ±1σ Bands = Normal deviation range • Show ±3σ Bands = Extreme extremes (rare but powerful) SIGNAL SETTINGS: • Min Deviation: 1σ (more signals) | 2σ (default) | 3σ (fewer, extreme only) • Require Pivot Reversal: OFF (default) | ON (stronger but fewer) • Volume Spike Threshold: 1.5x (default) | 2.0x+ (major spikes) | 1.2x (more signals) CONFLUENCE SETTINGS: • Require Multi-VWAP Confluence: OFF (default) | ON (2+ VWAPs must agree) • Min VWAPs: 2 (Daily + Weekly/Monthly) | 3 (all must agree) VISUAL SETTINGS: • Show Fill Zones = Shaded areas between bands • Fill Opacity = Transparency adjustment • Line Widths = Customize thickness 💡 PRO TIPS 1. Start with defaults, then enable features as you learn 2. Volume spike requirement filters weak moves - keep it enabled 3. Enable Weekly/Monthly VWAPs for higher timeframe context 4. Enable confluence for swing trading setups 5. Pivot reversals: ON for reversals, OFF for continuations 6. Check top-right info table for current deviation levels 🎨 VISUAL GUIDE • Cyan Line = Daily VWAP (fair value) • Cyan Bands = Daily deviation zones • Orange Line = Weekly VWAP (if enabled) • Purple Line = Monthly VWAP (if enabled) • Green Triangle = Long signal (oversold) • Red Triangle = Short signal (overbought) ⚠️ IMPORTANT Educational purposes only. Always use proper risk management. Signals are based on statistical deviation, not guarantees. Volume confirmation improves quality but doesn't guarantee outcomes. Combine with your own analysis. The unique combination of VWAP deviation analysis, volume profile confirmation, pivot identification, and multi-timeframe confluence in a single clean interface makes Tactical Deviation different from basic VWAP indicators. Happy Trading! 📈
Индикатор Pine Script®
от RickyTSpanish
Average Directional Index infoAverage Directional Index (ADX) is a technical indicator created by J. Welles Wilder that measures trend strength (not direction!). Values range from 0 to 100. This indicator is a supplementary tool for assessing whether trend strategies are worthwhile, monitoring changes in trend strength and avoiding weak, choppy movements Value Interpretation: 0-25: Weak trend or sideways market 25-50: Moderate to strong trend 50-75: Very strong trend 75-100: Extremely strong trend (rare) Important: ADX does not indicate trend direction (up/down), only its strength! This script indicator includes additional features: 1. ADX Plot (purple line) Basic ADX value showing current trend strength. 2. ADX Trend Analysis (arrows) The script compares current ADX with its 10-period moving average with ±5% tolerance: ↑ (green): ADX rising → trend strengthening ↓ (red): ADX falling → trend weakening ⮆ (gray): ADX stable → trend strength unchanged 3. Information Table Displays current ADX value with trend arrow in the top-right corner. Parameters to Configure Smoothing (default: 14) - Indicator smoothing period Lower values (e.g., 7): more sensitive, more signals Higher values (e.g., 21): more stable, less noise Indicator Length (default: 14) - Period for calculating directional movement (+DI/-DI) Wilder's standard value is 14 Trend Length (default: 10) - Period for moving average to analyze ADX dynamics Determines how quickly changes in trend strength are detected Practical Application ✅ Strategy 1: Trend Strength Filter 1. ADX > 25 → look for positions aligned with the trend 2. ADX < 25 → avoid trend strategies, consider oscillators ✅ Strategy 2: Entries on Strengthening Trend 1. ADX crosses above 25 + arrow ↑ → trend gaining momentum 2. Combine with other indicators (e.g., EMA) for direction confirmation ✅ Strategy 3: Exhaustion Warning 1. ADX > 50 + arrow ↓ → strong trend may be exhausting 2. Consider profit protection or trailing stop
Индикатор Pine Script®
от Jawortrader
[CASH] Crypto And Stocks Helper (MultiPack w. Alerts)ATTENTION! I'm not a good scripter. I have just learned a little basics for this project, stolen code from other public scripts and modified it, and gotten help from AI LLM's. If you want recognition from stolen code please tell me to give you the credit you deserve. The script is not completely finished yet and contains alot of errors but my friends and family wants access so I made it public. _________________________________________________________________________________ CASH has multiple indicators (a true all-in-one multipack), guides and alerts to help you make better trades/investments. It has: - Bitcoin Bull Market Support Band - Dollar Volume - 5 SMA and 5 EMA - HODL Trend (a.k.a SuperTrend) indicator - RSI, Volume and Divergence indicators w. alerts More to come as well, like Backburner and a POC line from Volume Profile. Everything is fully customizable, appearance and off/on etc. More information and explainations along with my guides you can find in settings under "Input" and "Style".
Индикатор Pine Script®
от SenorBufoAlvarius
Momentum Tide [Alpha Extract]A sophisticated momentum-based trend identification system that measures normalized price deviation from an EMA baseline using ATR scaling and hyperbolic tangent smoothing for precise trend state classification. Utilizing advanced signal processing with configurable neutral bands and slope sensitivity adjustments, this indicator delivers institutional-grade momentum analysis with continuous strength measurement and visual trend confirmation. The system's three-state classification (bullish, bearish, neutral) combined with dynamic color intensity scaling provides comprehensive market momentum assessment across varying volatility conditions. 🔶 Advanced Baseline Deviation Framework Implements EMA-based baseline calculation with ATR-normalized deviation measurement to create volatility-adjusted momentum signals. The system calculates raw price deviation from the baseline, scales by ATR and slope sensitivity factor, then applies exponential smoothing for stable signal generation with reduced noise and false transitions. // Core Momentum Calculation Baseline = ta.ema(close, Baseline_Length) ATR_Value = ta.atr(ATR_Length) Raw_Deviation = (close - Baseline) / (ATR_Value * Slope_Scaler) Signal = ta.ema(Raw_Deviation, Signal_Smoothing) 🔶 Hyperbolic Tangent Normalization Engine Features sophisticated tanh transformation that clamps raw deviation signals into normalized -1 to +1 range for consistent interpretation across all market conditions. The system applies safe exponential calculations with value capping to prevent overflow while maintaining signal sensitivity, creating bounded momentum readings suitable for systematic threshold analysis. // Tanh Normalization Clamped_Signal = tanh(Signal) // Bounded to Strength = abs(Clamped_Signal) // Momentum intensity 🔶 Three-State Classification System Implements intelligent trend state determination using configurable neutral band thresholds to reduce whipsaw signals during ranging conditions. The system classifies market as bullish (+1) when momentum exceeds upper neutral band, bearish (-1) below lower neutral band, and neutral (0) within the band, providing clear directional bias with built-in consolidation recognition. 🔶 Dynamic Color Intensity Architecture Provides advanced visual feedback through momentum strength-based color intensity modulation, where stronger trends display more opaque colors and weaker trends show increased transparency. The system dynamically adjusts color alpha values based on absolute momentum strength, creating intuitive visual representation of trend conviction across baseline, candles, and bars. 🔶 Trend Strength Meter Visualization Features innovative horizontal gradient meter displaying real-time momentum position across bear-to-bull spectrum with 24-segment resolution. The system creates smooth color transitions from bearish red through neutral gray to bullish green, with arrow indicator showing precise momentum location for instant trend strength assessment without cluttering the price chart. 🔶 Intelligent Flip Detection System Generates transition markers when trend state changes from neutral/bearish to bullish or neutral/bullish to bearish, with duplicate signal suppression to prevent marker clustering. The system tracks previous signal states and only plots new markers on genuine trend reversals, providing clean entry signal visualization for systematic trading approaches. snapshot 🔶 Configurable Neutral Band Framework Implements adjustable neutral zone width using ATR percentage parameters to optimize signal frequency for different trading styles and market conditions. Wider bands reduce flip frequency for position trading while tighter bands increase sensitivity for active trading strategies, enabling customization without code modification. 🔶 Slope Sensitivity Adjustment Features slope scaler parameter that modulates ATR normalization factor, controlling signal smoothness versus responsiveness trade-off. Higher values create smoother momentum readings with fewer transitions while lower values increase snappiness for faster reaction to price changes, allowing optimization across different volatility regimes and timeframes. 🔶 Comprehensive Visual Integration Provides multi-dimensional trend visualization through color-coded baseline overlay, momentum-synchronized candle coloring, and bar color modification with configurable display toggles. The system includes optional flip markers and strength meter with position control for complete chart integration without visual overload. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized table management for strength meter updates and minimal computational overhead for real-time momentum processing. The system includes intelligent state tracking and safe mathematical operations to prevent errors during extreme market conditions while maintaining consistent performance. 🔶 Why Choose Momentum Tide ? This indicator delivers sophisticated momentum-based trend analysis through normalized deviation measurement and intelligent three-state classification. Unlike traditional momentum oscillators that operate in separate windows, Momentum Tide integrates directly with price action through baseline overlay and candle coloring while providing the analytical depth of bounded momentum measurement. The system's combination of tanh normalization, configurable neutral bands, dynamic color intensity, and innovative strength meter makes it essential for traders seeking adaptive trend-following approaches with clear visual feedback across cryptocurrency, forex, and equity markets. The three-state system naturally filters ranging periods while the momentum strength measurement enables position sizing and confidence assessment for systematic trading strategies.
Индикатор Pine Script®
от AlphaExtract
1
HTF BIAS FILTER🧭HTF Bias Filter Indicator: 5 in 1 indicator Technical Overview The Bias Filter is a comprehensive multi-timeframe tool designed to confirm directional bias using five key indicators before entering a trade. It plots higher-timeframe Moving Averages directly on the chart and provides an immediate status summary via a static dashboard. The more confluence on the dashboard, the greater the probability of the direction of the trade. 1. 📊 Display Components A. Plotted Lines The indicator uses the request.security function to draw Moving Averages from higher timeframes onto your current chart: 1H EMA 21 (Purple): The 21-period Exponential Moving Average calculated on the 1-Hour (60 min) chart. Plotted using a step-line style. 4H EMA 50 (Red): The 50-period Exponential Moving Average calculated on the 4-Hour (240 min) chart. Plotted using a step-line style. B. Directional Dashboard A fixed-position summary table is anchored to the bottom-right corner of the chart, providing a quick glance at the current status of all five filters. 2. 🎨 Colour Logic Each of the five indicators is assigned a colour based on its current directional signal. The more indicators that show the same colour (confluence), the stronger the signal and the higher the likelihood of a high-probability trade. 🟢 Green indicators are signaling UP/BUY (Bullish momentum or trend). 🔴 Red indicators are signaling DOWN/SELL (Bearish momentum or trend). ⚫ Gray indicators are signaling Mixed or flat directions (neutral or undecided). Note: The dashboard's main header color is determined by a strict confluence logic (All four 4H filters must align for Green/Red), while individual indicator colors follow the simple rules above. 3. 📋 Indicator Breakdown and Logic The dashboard provides the direction of five different filters. 3.1. Higher-Timeframe (HTF) Trend Indicators These two signals determine the immediate slope and direction of the primary Moving Averages: 4H EMA 50: Timeframe: 4-Hour (240 min) Logic: Compares the current EMA value to the value two bars ago on the 4H chart. Output: UP ↑, DOWN ↓, or FLAT ⏸ 1H EMA 21: Timeframe: 1-Hour (60 min) Logic: Compares the current EMA value to the value two bars ago on the 1H chart. Output: UP ↑, DOWN ↓, or FLAT ⏸ 3.2. 4-Hour Confluence Filters These three indicators provide supplementary confirmation on Volume, Price Position, and Momentum, all calculated on the 4-Hour (240 min) chart: 4H OBV (Smoothed): Timeframe: 4-Hour (240 min) Logic: Direction is based on the current value of the 21-bar smoothed On-Balance Volume (OBV) compared to its value nine bars ago. Output: UP ↑, DOWN ↓, or FLAT ⏸ 4H ATR DIR (EMA Proxy): Timeframe: 4-Hour (240 min) Logic: Determines the price position by comparing the current Close price against the 4H EMA 50. Output: BUY 🟢 (Close > EMA 50), SELL 🔴 (Close < EMA 50), or FLAT ⏸️ (Close = EMA 50). 4H RSI (14): Timeframe: 4-Hour (240 min) Logic: Momentum check comparing the 14-period Relative Strength Index (RSI) value against the 50 level. Output: BUY 🟢 (RSI > 50), SELL 🔴 (RSI < 50), or FLAT ⏸️ (RSI = 50).
Индикатор Pine Script®
от djdickenson82
200SMA Distance OscillatorThe oscillator measures the percentage deviation of closing price x from SMA200. The idea behind the oscillator was preceded by an analysis of how often MAs in the index hold/bounce or are broken through. Basically, the idea was about index analysis, i.e., the macro picture of a market. Who wants to buy individual stocks when the overall market is plummeting ;-) Or in other words: How long are you long in a market? When is it time to take profits? After the analysis of the stability of SMAs in the index was rather modest (ratio of just under 6:4 for bounce to breakout – overall in 20, 50, 100, and 200 frames from 2020 to 2025), it was noticeable that the percentage over- or underperformance was scalable, especially in indices. And since indices generally move upwards, there were fixed limits for over- and underestimations – especially in the longer term (SMA200) – unlike with individual stocks. It is therefore more a question of macro trends and less of short-term movements, e.g., in day trading. It was now interesting to see at what percentage range counter-movements were likely – particularly in the positive range for profit-taking, but of course also in the negative range for entry into sold-off markets. If, for example, closing prices around +25% above SMA200 were reached in the NDX, the probability is very high that the market has overreacted and an interim correction will follow – so the theory goes. On the other hand, continuous levels of +5 to +10% are a product of healthy positive development in a bull market and do not necessarily require action. The oscillator was specifically designed for the NDX, but can also be used for the SPX and others. The style was based on the RSI, so that the color level rises from 10% to 20% (overbought/oversold principle). Based on manually examined movements, the criteria were set as follows: +/-10% = flow / no color background > +/-10% = border areas / color background The center line represents the 252 average of the percentage deviations and could also be used as a trigger, provided it has been historically examined and is valid. The oscillator is very interesting because it behaves completely differently from one financial instrument to another and, as a result, also in the timeframes (4h, D, W). It would probably make sense to change the flow and border levels in the code when using it outside of indices. The fact is that the oscillator must be “adjusted” to each instrument in order to achieve its goal of providing the best possible prediction. “Adjusting” refers to the analysis of the levels at which an instrument/asset usually reacts. As with all indicators and oscillators, it is advisable to take other indicators and, in particular, macro news into account when analyzing this development. If I find any substantial correlations with other indicators, I will be happy to provide an update. The idea came from me, the code from Grok. The code is not 100% perfect, but the data (percentage deviation, color background) is correct according to initial analysis. In the settings, you can make the lines of the plots invisible. This makes the oscillator clearer. You can also adjust the settings for the average line.
Индикатор Pine Script®
от MajorTom111
Flux-Tensor Singularity [FTS]Flux-Tensor Singularity - Multi-Factor Market Pressure Indicator The Flux-Tensor Singularity (FTS) is an advanced multi-factor oscillator that combines volume analysis, momentum tracking, and volatility-weighted normalization to identify critical market inflection points. Unlike traditional single-factor indicators, FTS synthesizes price velocity, volume mass, and volatility context into a unified framework that adapts to changing market regimes. This indicator identifies extreme market conditions (termed "singularities") where multiple confirming factors converge, then uses a sophisticated scoring system to determine directional bias. It is designed for traders seeking high-probability setups with built-in confluence requirements. THEORETICAL FOUNDATION The indicator is built on the premise that market time is not constant - different market conditions contain varying levels of information density. A 1-minute bar during a major news event contains far more actionable information than a 1-minute bar during overnight low-volume trading. Traditional indicators treat all bars equally; FTS does not. The theoretical framework draws conceptual parallels to physics (purely as a mental model, not literal physics): Volume as Mass: Large volume represents significant market participation and "weight" behind price moves. Just as massive objects have stronger gravitational effects, high-volume moves carry more significance. Price Change as Velocity: The rate of price movement through price space represents momentum and directional force. Volatility as Time Dilation: When volatility is high relative to its historical norm, the "information density" of each bar increases. The indicator weights these periods more heavily, similar to how time dilates near massive objects in physics. This is a pedagogical metaphor to create a coherent mental model - the underlying mathematics are standard financial calculations combined in a novel way. MATHEMATICAL FRAMEWORK The indicator calculates a composite singularity value through four distinct steps: Step 1: Raw Singularity Calculation S_raw = (ΔP × V) × γ² Where: ΔP = Price Velocity = close - close V = Volume Mass = log(volume + 1) γ² = Time Dilation Factor = (ATR_local / ATR_global)² Volume Transformation: Volume is log-transformed because raw volume can have extreme outliers (10x-100x normal). The logarithm compresses these spikes while preserving their significance. This is standard practice in volume analysis. Volatility Weighting: The ratio of short-term ATR (5 periods) to long-term ATR (user-defined lookback) is squared to create a volatility amplification factor. When local volatility exceeds global volatility, this ratio increases, amplifying the raw singularity value. This makes the indicator regime-aware. Step 2: Normalization The raw singularity values are normalized to a 0-100 scale using a stochastic-style calculation: S_normalized = ((S_raw - S_min) / (S_max - S_min)) × 100 Where S_min and S_max are the lowest and highest raw singularity values over the lookback period. Step 3: Epsilon Compression S_compressed = 50 + ((S_normalized - 50) / ε) This is the critical innovation that makes the sensitivity control functional. By applying compression AFTER normalization, the epsilon parameter actually affects the final output: ε < 1.0: Expands range (more signals) ε = 1.0: No change (default) ε > 1.0: Compresses toward 50 (fewer, higher-quality signals) For example, with ε = 2.0, a normalized value of 90 becomes 70, making threshold breaches rarer and more significant. Step 4: Smoothing S_final = EMA(S_compressed, smoothing_period) An exponential moving average removes high-frequency noise while preserving trend. SIGNAL GENERATION LOGIC When the tensor crosses above the upper threshold (default 90) or below the lower threshold (default 10), an extreme event is detected. However, the indicator does NOT immediately generate a buy or sell signal. Instead, it analyzes market context through a multi-factor scoring system: Scoring Components: Price Structure (+1 point): Current bar bullish/bearish Momentum (+1 point): Price higher/lower than N bars ago Trend Context (+2 points): Fast EMA above/below slow EMA (weighted heavier) Acceleration (+1 point): Rate of change increasing/decreasing Volume Multiplier (×1.5): If volume > average, multiply score The highest score (bullish vs bearish) determines signal direction. This prevents the common indicator failure mode of "overbought can stay overbought" by requiring directional confirmation. Signal Conditions: A BUY signal requires: Extreme event detection (tensor crosses threshold) Bullish score > Bearish score Price confirmation: Bullish candle (optional, user-controlled) Volume confirmation: Volume > average (optional, user-controlled) Momentum confirmation: Positive momentum (optional, user-controlled) A SELL signal requires the inverse conditions. INPUTS EXPLAINED - Core Parameters: Global Horizon (Context): Default 20. Lookback period for normalization and volatility comparison. Higher values = smoother but less responsive. Lower values = more signals but potentially more noise. Tensor Smoothing: Default 3. EMA period applied to final output. Removes "quantum foam" (high-frequency noise). Range 1-20. Singularity Threshold: Default 90. Values above this (or below 100-threshold) trigger extreme event detection. Higher = rarer, stronger signals. Signal Sensitivity (Epsilon): Default 1.0. Post-normalization compression factor. This is the key innovation - it actually works because it's applied AFTER normalization. Range 0.1-5.0. Signal Interpreter Toggles: Require Price Confirmation: Default ON. Only generates buy signals on bullish candles, sell signals on bearish candles. Reduces false signals but may delay entry. Require Volume Confirmation: Default ON. Only signals when volume > average. Critical for stocks/crypto, less important for forex (unreliable volume data). Use Momentum Filter: Default ON. Requires momentum agreement with signal direction. Prevents counter-trend signals. Momentum Lookback: Default 5. Number of bars for momentum calculation. Shorter = more responsive, longer = trend-following bias. Visual Controls: Colors: Customizable colors for bullish flux, bearish flux, background, and event horizon. Visual Transparency: Default 85. Master control for all visual elements (accretion disk, field lines, particles, etc.). Range 50-99. Signals and dashboard have separate controls. Visibility Toggles: Individual on/off switches for: Gravitational field lines (trend EMAs) Field reversals (trend crossovers) Accretion disk (background gradient) Singularity diamonds (neutral extreme events) Energy particles (volume bursts) Event horizon flash (extreme event background) Signal background flash Signal Size: Tiny/Small/Normal triangle size Signal Offsets: Separate controls for buy and sell signal vertical positioning (percentage of price) Dashboard Settings: Show Dashboard: Toggle on/off Position: 9 placement options (all corners, centers, middles) Text Size: Tiny/Small/Normal/Large Background Transparency: 0-50, separate from visual transparency VISUAL ELEMENTS EXPLAINED 1. Accretion Disk (Background Gradient): A three-layer gradient background that intensifies as the tensor approaches extremes. The outer disk appears at any non-neutral reading, the inner disk activates above 70 or below 30, and the core layer appears above 85 or below 15. Color indicates direction (cyan = bullish, red = bearish). This provides instant visual feedback on market pressure intensity. 2. Gravitational Field Lines (EMAs): Two trend-following EMAs (10 and 30 period) visualized as colored lines. These represent the "curvature" of market trend - when they diverge, trend is strong; when they converge, trend is weakening. Crossovers mark potential trend reversals. 3. Field Reversals (Circles): Small circles appear when the fast EMA crosses the slow EMA, indicating a potential trend change. These are distinct from extreme events and appear at normal market structure shifts. 4. Singularity Diamonds: Small diamond shapes appear when the tensor reaches extreme levels (>90 or <10) but doesn't meet the full signal criteria. These are "watch" events - extreme pressure exists but directional confirmation is lacking. 5. Energy Particles (Dots): Tiny dots appear when volume exceeds 2× average, indicating significant participation. Color matches bar direction. These highlight genuine high-conviction moves versus low-volume drifts. 6. Event Horizon Flash: A golden background flash appears the instant any extreme threshold is breached, before directional analysis. This alerts you to pay attention. 7. Signal Background Flash: When a full buy/sell signal is confirmed, the background flashes cyan (buy) or red (sell). This is your primary alert that all conditions are met. 8. Signal Triangles: The actual buy (▲) and sell (▼) markers. These only appear when ALL selected confirmation criteria are satisfied. Position is offset from bars to avoid overlap with other indicators. DASHBOARD METRICS EXPLAINED The dashboard displays real-time calculated values: Event Density: Current tensor value (0-100). Above 90 or below 10 = critical. Icon changes: 🔥 (extreme high), ❄️ (extreme low), ○ (neutral). Time Dilation (γ): Current volatility ratio squared. Values >2.0 indicate extreme volatility environments. >1.5 = elevated, >1.0 = above average. Icon: ⚡ (extreme), ⚠ (elevated), ○ (normal). Mass (Vol): Log-transformed volume value. Compared to volume ratio (current/average). Icon: ● (>2× avg), ◐ (>1× avg), ○ (below avg). Velocity (ΔP): Raw price change. Direction arrow indicates momentum direction. Shows the actual price delta value. Bullish Flux: Current bullish context score. Displayed as both a bar chart (visual) and numeric value. Brighter when bullish score dominates. Bearish Flux: Current bearish context score. Same visualization as bullish flux. These scores compete - the winner determines signal direction. Field: Trend direction based on EMA relationship. "Repulsive" (uptrend), "Attractive" (downtrend), "Neutral" (ranging). Icon: ⬆⬇↔ State: Current market condition: 🚀 EJECTION: Buy signal active 💥 COLLAPSE: Sell signal active ⚠ CRITICAL: Extreme event, no directional confirmation ● STABLE: Normal market conditions HOW TO USE THE INDICATOR 1. Wait for Extreme Events: The indicator is designed to be selective. Don't trade every fluctuation - wait for tensor to reach >90 or <10. This alone is not a signal. 2. Check Context Scores: Look at the Bullish Flux vs Bearish Flux in the dashboard. If scores are close (within 1-2 points), the market is indecisive - skip the trade. 3. Confirm with Signals: Only act when a full triangle signal appears (▲ or ▼). This means ALL your selected confirmation criteria have been met. 4. Use with Price Structure: Combine with support/resistance levels. A buy signal AT support is higher probability than a buy signal in the middle of nowhere. 5. Respect the Dashboard State: When State shows "CRITICAL" (⚠), it means extreme pressure exists but direction is unclear. These are the most dangerous moments - wait for resolution. 6. Volume Matters: Energy particles (dots) and the Mass metric tell you if institutions are participating. Signals without volume confirmation are lower probability. MARKET AND TIMEFRAME RECOMMENDATIONS Scalping (1m-5m): Lookback: 10-14 Smoothing: 5-7 Threshold: 85 Epsilon: 0.5-0.7 Note: Expect more noise. Confirm with Level 2 data. Best on highly liquid instruments. Intraday (15m-1h): Lookback: 20-30 (default settings work well) Smoothing: 3-5 Threshold: 90 Epsilon: 1.0 Note: Sweet spot for the indicator. High win rate on liquid stocks, forex majors, and crypto. Swing Trading (4h-1D): Lookback: 30-50 Smoothing: 3 Threshold: 90-95 Epsilon: 1.5-2.0 Note: Signals are rare but high conviction. Combine with higher timeframe trend analysis. Position Trading (1D-1W): Lookback: 50-100 Smoothing: 5-7 Threshold: 95 Epsilon: 2.0-3.0 Note: Extremely rare signals. Only trade the most extreme events. Expect massive moves. Market-Specific Settings: Forex (EUR/USD, GBP/USD, etc.): Volume data is unreliable (spot forex has no centralized volume) Disable "Require Volume Confirmation" Focus on momentum and trend filters News events create extreme singularities Best on 15m-1h timeframes Stocks (High-Volume Equities): Volume confirmation is CRITICAL - keep it ON Works excellently on AAPL, TSLA, SPY, etc. Morning session (9:30-11:00 ET) shows highest event density Earnings announcements create guaranteed extreme events Best on 5m-1h for day trading, 1D for swing trading Crypto (BTC, ETH, major alts): Reduce threshold to 85 (crypto has constant high volatility) Volume spikes are THE primary signal - keep volume confirmation ON Works exceptionally well due to 24/7 trading and high volatility Epsilon can be reduced to 0.7-0.8 for more signals Best on 15m-4h timeframes Commodities (Gold, Oil, etc.): Gold responds to macro events (Fed announcements, geopolitical events) Oil responds to supply shocks Use daily timeframe minimum Increase lookback to 50+ These are slow-moving markets - be patient Indices (SPX, NDX, etc.): Institutional volume matters - keep volume confirmation ON Opening hour (9:30-10:30 ET) = highest singularity probability Strong correlation with VIX - high VIX = more extreme events Best on 15m-1h for day trading WHAT MAKES THIS INDICATOR UNIQUE 1. Post-Normalization Sensitivity Control: Unlike most oscillators where sensitivity controls don't actually work (they're applied before normalization, which then rescales everything), FTS applies epsilon compression AFTER normalization. This means the sensitivity parameter genuinely affects signal frequency. This is a novel implementation not found in standard oscillators. 2. Multi-Factor Confluence Requirement: The indicator doesn't just detect "overbought" or "oversold" - it detects extreme conditions AND THEN analyzes context through five separate factors (price structure, momentum, trend, acceleration, volume). Most indicators are single-factor; FTS requires confluence. 3. Volatility-Weighted Normalization: By squaring the ATR ratio (local/global), the indicator adapts to changing market regimes. A 1% move in a low-volatility environment is treated differently than a 1% move in a high-volatility environment. Traditional indicators treat all moves equally regardless of context. 4. Volume Integration at the Core: Volume isn't an afterthought or optional filter - it's baked into the fundamental equation as "mass." The log transformation handles outliers elegantly while preserving significance. Most price-based indicators completely ignore volume. 5. Adaptive Scoring System: Rather than fixed buy/sell rules ("RSI >70 = sell"), FTS uses competitive scoring where bullish and bearish evidence compete. The winner determines direction. This solves the classic problem of "overbought markets can stay overbought during strong uptrends." 6. Comprehensive Visual Feedback: The multi-layer visualization system (accretion disk, field lines, particles, flashes) provides instant intuitive feedback on market state without requiring dashboard reading. You can see pressure building before extreme thresholds are hit. 7. Separate Extreme Detection and Signal Generation: "Singularity diamonds" show extreme events that don't meet full criteria, while "signal triangles" only appear when ALL conditions are met. This distinction helps traders understand when pressure exists versus when it's actionable. COMPARISON TO EXISTING INDICATORS vs. RSI/Stochastic: These normalize price relative to recent range. FTS normalizes (price change × log volume × volatility ratio) - a composite metric, not just price position. vs. Chaikin Money Flow: CMF combines price and volume but lacks volatility context and doesn't use adaptive normalization or post-normalization compression. vs. Bollinger Bands + Volume: Bollinger Bands show volatility but don't integrate volume or create a unified oscillator. They're separate components, not synthesized. vs. MACD: MACD is pure momentum. FTS combines momentum with volume weighting and volatility context, plus provides a normalized 0-100 scale. The specific combination of log-volume weighting, squared volatility amplification, post-normalization epsilon compression, and multi-factor directional scoring is unique to this indicator. LIMITATIONS AND PROPER DISCLOSURE Not a Holy Grail: No indicator is perfect. This tool identifies high-probability setups but cannot predict the future. Losses will occur. Use proper risk management. Requires Confirmation: Best used in conjunction with price action analysis, support/resistance levels, and higher timeframe trend. Don't trade signals blindly. Volume Data Dependency: On forex (spot) and some low-volume instruments, volume data is unreliable or tick-volume only. Disable volume confirmation in these cases. Lagging Components: The EMA smoothing and trend filters are inherently lagging. In extremely fast moves, signals may appear after the initial thrust. Extreme Event Rarity: With conservative settings (high threshold, high epsilon), signals can be rare. This is by design - quality over quantity. If you need more frequent signals, reduce threshold to 85 and epsilon to 0.7. Not Financial Advice: This indicator is an analytical tool. All trading decisions and their consequences are solely your responsibility. Past performance does not guarantee future results. BEST PRACTICES Don't trade every singularity - wait for context confirmation Higher timeframes = higher reliability Combine with support/resistance for entry refinement Volume confirmation is CRITICAL for stocks/crypto (toggle off only for forex) During major news events, singularities are inevitable but direction may be uncertain - use wider stops When bullish and bearish flux scores are close, skip the trade Test settings on your specific instrument/timeframe before live trading Use the dashboard actively - it contains critical diagnostic information Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Индикатор Pine Script®
от DskyzInvestments
RSI Ensemble Confidence [CHE]RSI Ensemble Confidence — Measures RSI agreement across multiple lengths and price sources Summary This indicator does not just show you one RSI — it shows you how strongly dozens of different RSI variants agree with each other right now. The Confidence line (0–100) is the core idea: - High Confidence → almost all RSIs see the same thing → clean, reliable situation - Low Confidence → the RSIs contradict each other → the market is messy, RSI signals are questionable How it works (exactly as you wanted it described) 1. Multiple RSIs instead of just one The indicator builds a true ensemble: - 4 lengths (default 8, 14, 21, 34) - 6 price sources (Close, Open, High, Low, HL2, OHLC4 – individually switchable) → When everything is enabled, up to 24 different RSIs are calculated on every single bar. These 24 opinions form a real “vote” about the current market state. 2. Mean and dispersion From all active RSIs it calculates: - rsiMean → the average opinion of the entire ensemble (orange line) - rsiStd → how far the individual RSIs deviate from each other Small rsiStd = they all lie close together → strong agreement Large rsiStd = they are all over the place → contradiction 3. Confidence (0–100) The standard deviation is compared to the user parameter “Max expected StdDev” (default 20): - rsiStd = 0 → Confidence ≈ 100 - rsiStd = maxStd → Confidence ≈ 0 - Everything in between is scaled linearly If only one RSI is active, Confidence is automatically set to ~80 for practicality. What you see on the chart 1. Classic reference RSI – blue line (Close, length 14) → your familiar benchmark 2. Ensemble mean – orange line → the true consensus RSI ±1 StdDev band (optional) → shows dispersion directly: - narrow band = clean, consistent setup - wide band = the RSIs disagree → caution 3. Confidence line (aqua, 0–100) → your quality meter for any RSI signal 4. StdDev histogram (optional, fuchsia columns) → raw dispersion if you prefer the unscaled value 5. Background coloring - Greenish ≥ 80 → high agreement - Orange 60–80 → medium - Reddish < 40 → strong disagreement - Transparent below that 6. Two built-in alerts - High Confidence (crossover 80) - Low Confidence (crossunder 40) Why this indicator is practically useful 1. Perfect filter for all RSI strategies Only trade overbought/oversold, divergences, or failures when Confidence ≥ 70. Skip or reduce size when Confidence < 40. 2. Protection against overinterpretation You immediately see whether a “beautiful” RSI hook is confirmed by the other 23 variants — or whether it’s just one outlier fooling you. 3. Excellent regime detector Long periods of high Confidence = clean trends or clear overbought/oversold phases Constantly low Confidence = choppy, noisy market → RSI becomes almost useless 4. Turns gut feeling into numbers We all sometimes think “this setup somehow doesn’t feel right”. Now you have the exact number that says why. 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. 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. Best regards and happy trading Chervolino
Индикатор Pine Script®
от chervolino
Institution Radar Institution Radar Institution Radar compares Price RSI with Volume-Delta RSI to show when price moves are real (backed by volume) or fake (moving without volume). This helps reveal two powerful concepts: Absorption (Bullish or Bearish) Absorption happens when a large limit order is sitting in the order book. Market orders hit it over and over, but the level doesn't break. This usually means: Strong players are absorbing the aggressive orders Price is likely to move in the opposite direction The next candle often reacts immediately Can lead to a full reversal or just a short 1–2 candle move Exhaustion (Bullish or Bearish) Exhaustion happens when institutions pull their limit orders away. There is no real volume behind the move, so price drifts up or down easily. This usually means: The current move is weak A slowdown, pullback, or reversal is likely Often shows up right before a flip in direction 📌 What the Signals Mean Green signal → next candles often push upward Red signal → next candles often push downward These can mark trend reversals or temporary 1–2 candle reactions 🎚️ Sensitivity Setting You can adjust how strict the signals are: Lower sensitivity = more signals, more noise Higher sensitivity = fewer signals, but more accurate and stronger A higher sensitivity is recommended if you only want the cleanest institutional moments.
Индикатор Pine Script®
от ebecihalil
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator? The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K. Stochastic helps identify: Overbought and oversold conditions Bullish and bearish crossovers Momentum shifts before price reversals It is widely used in both trending and ranging markets. 💡 What Makes This Suite Different? This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including: ✅ Core Features: - Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality. - Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20). - %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram. - Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas). 🔍 Divergence Detection (Optional): - Bullish Divergence: Price makes lower lows while %K makes higher lows. - Bearish Divergence: Price makes higher highs while %K makes lower highs. - Customizable pivot lookbacks and range filters to control divergence strictness. - Visual divergence labels plotted directly on the oscillator. 🎛️ Fully Toggleable Visuals: Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes. 🔔 Alerts: Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies. ⚙️ Use Cases - Spot exhaustion in overbought/oversold zones - Confirm or filter entries with divergence signals - Monitor multiple timeframes without switching charts - Use as a signal tool in confluence with price action or volume indicators ⚠️ Disclaimer This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
Индикатор Pine Script®
от RWCS_LTD