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RastaRasta — Educational Strategy (Pine v5) Momentum · Smoothing · Trend Study Overview The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line. It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions. The script displays: A primary EMA line (the fast reactive wave). A Smoothed line (using your chosen smoothing method). Optional fog zones between them for quick visual context. Optional DNA rungs connecting both lines to illustrate volatility compression and expansion. Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment. Core Idea The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal. Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed. Smoothing Types Explained The script lets you experiment with multiple smoothing techniques: Type Description Use Case SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames. EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals. RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response. WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy. None Disables smoothing; uses the EMA line alone. Raw comparison baseline. Each smoothing method changes how early or late the strategy reacts: Faster smoothing (EMA/WMA) = more responsive, good for scalping. Slower smoothing (SMA/RMA) = more stable, good for trend following. Modes of Study 🔹 Scalper Mode Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA). Focus on 1 min – 15 min charts. Watch how quick crossovers appear near local tops/bottoms. Fog and rung compression reveal volatility contraction before bursts. Goal: study short-term rhythm and liquidity pulses. 🔹 Momentum Mode Use moderate EMA (5–9) and RMA smoothing. Ideal for 1 H–4 H charts. Observe how the fog color aligns with trend shifts. EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled. Goal: study sustained motion between pullbacks and acceleration waves. 🔹 Trend-Follower Mode Use longer EMA (13–21) with SMA smoothing. Great for daily/weekly charts. Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance. Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility. Goal: visualize slow-motion trend transitions and filter whipsaw conditions. Components EMA Line (Red): Fast-reacting short-term direction. Smoothed Line (Yellow): Reference trend baseline. Fog Zone: Green when EMA > Smoothed (up-momentum), red when below. DNA Rungs: Thin connectors showing volatility structure. EMA 8 / 21 Filter (optional): When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21. Use this to study higher-trend gating effects. Educational Applications Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline. Trend Transitions: Compare different smoothing types to see how early or late reversals are detected. Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability. Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester. How to Use Add to Chart → “Strategy.” Works on any timeframe and instrument. Adjust Parameters: Length: base EMA speed. Smoothing Type: choose SMA, EMA, RMA, or WMA. Smoothing Length: controls delay and smoothness. EMA 8 / 21 Filter: toggles trend gating. Fog & Rungs: visual study options only. Study Behavior: Use Strategy Tester → List of Trades for entry/exit context. Observe how different smoothing types affect early vs. late “Enter” points. Compare trend periods vs. ranging periods to evaluate efficiency. Combine with External Tools: Overlay RSI, MACD, or Volume for deeper correlation analysis. Use replay mode to visualize crossovers in live sequence. Interpreting the Labels Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive). Exit: Marks where fast EMA crosses back below. These are purely analytical markers — they do not represent trade advice. Educational Value The Rasta framework helps learners explore: Reaction time differences between moving-average algorithms. Impact of smoothing on signal clarity. Interaction of local and global trends. Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones). It’s a sandbox for studying price structure, not a promise of profit. Disclaimer This script is provided for educational and research purposes only. It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes. Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior. Author: Michael Culpepper (mikeyc747) License: Educational / Open for study and modification with credit. Philosophy: “Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
Pine Script™ 전략
mikeyc747의
Trend Meter [MMT]The Trend Meter is a dynamic Pine Script indicator designed to provide traders with a clear, multi-dimensional view of market trends and momentum across different timeframes and metrics. By integrating Exponential Moving Averages (EMAs), Volume-Weighted Average Price (VWAP), higher timeframe (HTF) analysis, and Regular Trading Hours (RTH) breakouts, this indicator offers a comprehensive tool for identifying bullish, bearish, or neutral market conditions. Its customizable visual display and label system make it ideal for traders seeking actionable insights for trend-following, breakout, or reversal strategies. Key Features: 1. Multi-Metric Trend Analysis: - Trend Meter : Compares a Fast EMA (default: 9) and Slow EMA (default: 21) to determine short-term trend direction. - Bias Meter : Uses a longer-term Bias EMA (default: 35) to assess the overall market bias based on the close price. - VWAP Meter : Evaluates price position relative to the VWAP for dynamic support/resistance insights. - HTF Meter : Analyzes higher timeframe (default: 60-minute) price action, detecting breakouts of previous highs/lows and candle direction. - RTH Meter : Tracks price breakouts above/below the US Regular Trading Hours (09:30–16:00 EST) 15m opening range (09:30–09:45 EST). 2. Color-Coded Visuals: - Each metric is displayed as a horizontal line with customizable colors (green for bullish, red for bearish, gray for neutral). - Visual style options (dotted, dashed, or solid lines) allow for personalized chart clarity. 3. Dynamic Labels: - Optional labels for each metric (Trend, Bias, VWAP, HTF, RTH) with customizable text, size (tiny to huge), and color. - Labels update in real-time, providing clear identification of each meter’s role and current state. 4. Flexible Metric Selection: - Toggle individual metrics (EMA, VWAP, HTF, RTH) on/off to focus on relevant indicators for your trading style. - Option to use the previous bar’s close price for calculations, reducing noise in volatile markets. 5. RTH and Opening Range Analysis: - Calculates the high/low of the opening range (09:30–09:45 EST) during RTH sessions. - Signals bullish or bearish conditions when the price breaks above/below the opening range outside the initial 15-minute window. 6. Higher Timeframe Breakout Detection: - Monitors HTF price action to identify breakouts of the previous candle’s high or low, combined with the HTF candle’s direction for trend confirmation. How to Use: - Trend Confirmation : Use the Trend and Bias Meters to confirm short-term and long-term market direction. - Breakout Trading : Leverage the RTH Meter for breakout setups above/below the opening range during US trading hours. - Support/Resistance : Utilize the VWAP Meter to identify dynamic price levels for entries or exits. - Higher Timeframe Context : Monitor the HTF Meter for broader market trend alignment, ideal for swing or position trading. - Customization : Adjust EMA lengths, toggle metrics, and customize visual styles and labels to suit your chart preferences. Settings: - Bias Settings : - Fast EMA (default: 9), Slow EMA (default: 21), Bias EMA (default: 35). - Higher Timeframe (default: 60-minute). - Option to use previous close price for calculations. - Enable/disable individual metrics (EMA, VWAP, HTF, RTH). - Visual Settings : - Bullish (green), bearish (red), and neutral (gray) colors. - Line style (dotted, dashed, solid). - Label Settings : - Enable/disable labels. - Customize label size (tiny, small, normal, large, huge) and text color. - Custom text for each meter’s label (Trend, Bias, VWAP, HTF, RTH). Notes: - Optimized for intraday trading (e.g., 1m, 5m, 15m) but adaptable to any timeframe. - RTH and opening range calculations are tailored for US markets (EST timezone); adjust session times in the code for other markets. - Higher timeframe analysis enhances context for multi-timeframe strategies. Ideal For: - Intraday traders targeting RTH breakout opportunities. - Swing traders aligning with higher timeframe trends. - Traders using VWAP and EMA-based strategies for trend and momentum analysis. - Those seeking a clean, customizable dashboard for multi-metric market analysis.
Pine Script® 인디케이터
isthattyler의
6
X ATM Option Ladder FlowX ATM Option Ladder Flow is a specialized options-market visualization tool designed for intraday tracking of at-the-money (ATM) option volume flow in index ETFs such as QQQ and SPY. The script dynamically identifies the ATM contract on every bar and plots real-time call-versus-put volume distributions and marker to represent if the volume corresponded with the price of the option going up or down. By analyzing volume and direction data from multiple strikes within an ±8-point range, the indicator produces a real-time histogram that reflects how order flow evolves relative to the underlying price. Complementary status tables display the active strike, ladder position, and warnings when the underlying moves outside the monitored range. Core Features Dynamic ATM selection – Each bar automatically maps to the option contract closest to the underlying’s price. Bidirectional volume comparison – Visual separation of call and put volume, with “up” markers highlighting contracts trading above their prior close. Multi-strike ladder analysis – Samples strikes ±8 points from the defined center to capture flow skew and momentum near the money. Optimized data calls – Uses tuple requests to minimize request.security() load, enabling a deeper ladder within TradingView limits. Session awareness – Restricts processing to the 9:30 AM – 4:15 PM ET option-trading window. Status dashboard – Displays date, active strike, warning flags (“⚠︎ / •outside”), and ladder parameters directly on chart. Use Case The indicator is intended for intraday traders and options-flow analysts who want to visualize how short-term liquidity and sentiment migrate across the ATM region as the underlying moves. Typical applications include: Monitoring real-time call/put volume balance to confirm directional momentum or detect absorption zones. Identifying volatility clustering near the money—where hedging pressure or gamma concentration can influence underlying price stability. Detecting when price exits the monitored ladder (⚠︎ / •outside), signaling a potential shift to a new dominant option band or requiring manual recentering. Integrating option flow into broader futures or ETF bias models (e.g., NQ/ES alignment or QQQ/SPY flow confirmation). Technical Notes Static-center architecture ensures historical consistency: prior bars remain fixed even after re-centering. Ladder depth is hard-coded to ±8, the maximum possible within TradingView’s security-call limits. auto_nudge is enabled to smoothly align the selected lane with the active ATM without requiring user intervention. Indicator is optimized for 1-minute to 5-minute charts; use overlay = false to preserve scale clarity.
Pine Script® 인디케이터
KinetiCapital의
9
Trend & Strength Detector TSDTrend Strength Detector (TSD) *Objective Trend Quality Measurement for Educational Market Analysis* Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication. ## 🎯 Purpose & Design Philosophy The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"* This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems. ## 🔗 Complementary Research Framework ### Designed to Work With Pattern Detection Systems This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like: - **RMBS Smart Detector - Multi-Factor Momentum System** - Traditional chart pattern analyzers - Any momentum-based pattern identification tools 🔍 **To find RMBS Smart Detector:** - Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"` - Look for: *Multi-Factor Momentum System* - By author: ` ` ### Why This Complementary Approach? **Trend Quality Measurement** (TSD - this tool) provides: - ✅ Structural trend alignment (0-100 score) - ✅ Momentum intensity levels (0-100 score) - ✅ Environment classification (Strong/Moderate/Weak) - 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"* ### Educational Research Value When used together in a research context, these tools enable systematic study of questions like: - How do reversal patterns behave when Strength Score is above 70 vs below 30? - Do continuation patterns in weakening environments (declining scores) show different characteristics? - What is the correlation between high Alignment Scores and pattern "success rates"? - Can environment classification help identify genuine trend initiation vs false starts? ⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent. --- ###Mathematical Foundation ##TSA Formula: scoring method developed by Ario -Trend Model (0 – 100) TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30) EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure. Price Position evaluates if Close is above/below all EMAs. Consistency = 3 × max(bullish,bearish bars within 10 candles). -Strength Model (0 – 100) Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10) ADX measures trend energy; Slope shows EMA momentum %; RSI assesses zone positioning; MACD confirms directional agreement. Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________ 📊 Environment Classification Based on Total Strength Score: 🟢 Strong Environment: Score ≥ 60 → Well-defined momentum, clear directional bias 🟡 Moderate Environment: 40 ≤ Score < 60 → Mixed signals, transitional conditions 🔴 Weak Environment: Score < 40 → Ranging, choppy, low conviction movement Color Coding: • Green background: Strong (≥60) • Yellow background: Moderate (40-59) • Red background: Weak (<40) ________________________________________ 📈 Visual Components Main Chart Display Score Labels (Top-Right Corner): ┌─────────────────────────────────┐ │ 📊 Alignment: 75 | Strength: 82 │ │ Environment: Strong 🟢 │ └─────────────────────────────────┘ Color-Coded Background: • Environment strength visually indicated via background color • Helps quick identification of market regime • Customizable transparency (default: 90%) Reference Lines: • Dotted line at 60: Strong/Moderate threshold • Dotted line at 40: Moderate/Weak threshold • Mid-line at 50: Neutral reference ________________________________________ 🔧 Customization Settings Input Parameters The best setting is the default mode. 🚫 Important Disclaimers & Limitations What This Indicator IS: ✅ Educational measurement tool for trend quality research ✅ Quantitative assessment of current market environment ✅ Complementary analysis tool for pattern-based systems ✅ Historical data analyzer for systematic study ✅ Multi-factor scoring system based on technical calculations What This Indicator IS NOT: ❌ NOT a trading system or signal generator ❌ NOT financial advice or trade recommendations ❌ NOT predictive of future price movements ❌ NOT a guarantee of pattern success/failure ❌ NOT a substitute for comprehensive risk management ________________________________________ Known Limitations 1. Lagging Nature: ⚠️ All components (EMA, ADX, RSI, MACD) are calculated from historical price data → Scores reflect CURRENT and RECENT conditions → Cannot predict sudden reversals or black swan events → Trend measurements lag actual price turning points 2. Whipsaw Risk: ⚠️ In choppy/ranging markets, scores may fluctuate rapidly → Moderate zone (40-60) can see frequent transitions → Low timeframes more susceptible to noise → Consider higher timeframes for stable measurements 3. Component Conflicts: ⚠️ Individual components may disagree → Example: Strong ADX but weak RSI alignment → Scores average these conflicts (may hide nuance) → Check individual components for deeper insight 4. Not Predictive: ⚠️ High scores do NOT guarantee continuation ⚠️ Low scores do NOT guarantee reversal → Measurement ≠ Prediction → Use for CONTEXT, not SIGNALS → Combine with comprehensive analysis ________________________________________ Risk Acknowledgments Market Risk: • All trading involves substantial risk of loss • Past performance (even systematic studies) does not guarantee future results • No indicator, system, or methodology can eliminate market risk Measurement Limitations: • Scores are mathematical calculations, not market predictions • Environmental classification is descriptive, not prescriptive • Strong measurements can deteriorate rapidly without warning Educational Purpose: • This tool is designed for LEARNING about market structure • Not designed, tested, or validated as a standalone trading system • Any trading decisions are user’s sole responsibility No Warranty: • Indicator provided “as-is” for educational purposes • No guarantee of accuracy, reliability, or profitability • Users must verify calculations and apply critical thinking Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.” ---
Pine Script® 인디케이터
Ario_pinelab의
Trading Blueprint v7 Pro — VWAP-CVD, cPOC Trend MomentumTBv7 Pro is the advanced release of the Trading Blueprint framework — engineered for institutional-style intraday analysis that fuses VWAP location, CVD orderflow, composite profile bias, and momentum curvature into one cohesive system. Core Framework VWAP Structure → Adaptive mean anchored to session VWAP with ±1σ / ±2σ deviation envelopes for dynamic equilibrium detection. vPOC per bar by ruckard () Anchored Volume Profile by DGT () CVD Orderflow Divergence → Smoothed delta histogram with fractal pivots identifying hidden absorption and exhaustion (patterns (Bull / Bear Div). Cumulative Volume Delta by AustrianTradingMachine ) cPOC Integration (2-Day Composite) by poopsnag (me :)→ Confirms true acceptance or rejection zones across sessions for precision bias alignment. TMI (Trend Momentum Indicator by TradingRiot()) → Quantifies slope + mean crossover strength, providing actionable momentum confirmation (bullish / bearish support / divergence). Bias Dashboard → Displays VWAP bias, numerical score, and dynamic color feedback for at-a-glance trade orientation. Usage Context Designed for professionals trading 15 m execution inside 1 h / 4 h context. Ideal for VWAP-cPOC location setups, reversion / continuation scalps, and orderflow confirmation using cumulative delta behavior. 🔧 Modules such as RSI / AO are pre-wired and easily activated for full Trading Blueprint confluence mapping.
Pine Script® 인디케이터
poopsnag의
BB SPY Mean Reversion Investment StrategySummary Mean reversion first, continuation second. This strategy targets equities and ETFs on daily timeframes. It waits for price to revert from a Bollinger location with candle and EMA agreement, then manages risk with ATR based exits. Uniqueness comes from two elements working together. One, an adaptive band multiplier driven by volatility of volatility that expands or contracts the envelope as conditions change. Two, a bias memory that re arms the same direction after any stop, target, or time exit until a true opposite signal appears. Add it to a clean chart, use the markers and levels, and select on bar close for conservative alerts. Shapes can move while the bar is open and settle on close. Scope and intent • Markets. Currently adapted for SPY, needs to be optimized for other assets • Timeframes. Daily primary. Other frames are possible but not the default • Default demo. SPY on daily • Purpose. Trade mean reversion entries that can chain into a longer swing by splitting holds into ATR or time segments Originality and usefulness • Novelty. Adaptive band width from volatility of volatility plus a persistent bias array that keeps the original direction alive across sequential entries until an opposite setup is confirmed • Failure modes mitigated. False starts in chop are reduced by candle color and EMA location. Missed continuation after a take profit or stop is addressed by the re arm engine. Oversized envelopes during quiet regimes are avoided by the adaptive multiplier • Testability. Every module has Inputs and visible levels so users can see why a suggestion appears • Portable yardstick. All risk and targets are expressed in ATR units Method overview in plain language The engine measures where price sits relative to Bollinger bands, confirms with candle color and EMA location, requires ADX for shorts(in our case long close since we use it currently as long only), and optionally requires a trend or mean reversion regime using band width percent rank and basis slope. Risk uses ATR for stop, target, and optional breakeven. A small array stores the last confirmed direction. While flat, the engine keeps a pending order in that direction. The array flips only when a true opposite setup appears. Base measures • Range basis. True Range smoothed over a user defined ATR Length • Return basis. Not required Components • Bollinger envelope. SMA length and standard deviation multiplier. Entry is based on cross of close through the band with location bias • Candle and EMA filter. Close relative to open and close relative to EMA align direction • ADX gate for shorts. Requires minimum trend strength for short trades • Adaptive multiplier. Band width scales using volatility of volatility so envelopes breathe with conditions • Regime gate optional. Band width percent rank and basis slope identify trend or mean reversion regimes • Risk manager. ATR stop, ATR target, optional breakeven, optional time exit • Bias memory. Array stores last confirmed direction and re arms entries while flat Fusion rule Minimum satisfied gates count style. All required gates must be true. Optional gates are controlled in Inputs. Bias memory never overrides an opposite confirmed setup. Signal rule • Long setup when close crosses up through the lower band, the bar closes green, and close is above the long EMA • Short setup when close crosses down through the upper band, the bar closes red, close is below the short EMA, and ADX is above the minimum • While flat the model keeps a pending order in the stored direction until a true opposite setup appears • IN LONG or IN SHORT describes states between entry and exit What you will see on the chart • Markers for Long and Short setups • Exit markers from ATR or time rules • Reference levels for entry, stop, and target • Bollinger bands and optional adaptive bands Inputs with guidance Setup • Signal timeframe. Uses the chart timeframe • Invert direction optional. Flips long and short Logic • BB Length. Typical 10 to 50. Higher smooths more • BB Mult. Typical 1.0 to 2.5. Higher widens entries • EMA Length long. Typical 10 to 50 • EMA Length short. Typical 5 to 30 • ADX Minimum for short. Typical 15 to 35 Filters • Regime Type. none or trend or mean reversion • Rank Lookback. Typical 100 to 300 • Basis Slope Length and Threshold. Larger values reduce false trends Risk • ATR Length. Typical 10 to 21 • ATR Stop Mult. Typical 1.0 to 3.0 • ATR Take Profit Mult. Typical 2.0 to 5.0 • Breakeven Trigger R. Move stop to entry after the chosen multiple • Time Exit. Minimum bars and extension when profit exceeds a fraction of ATR Bias and rearm • Bias flips kept. Array depth • Keep rearm when flat. Maintain a pending order while flat UI • Show markers and levels. Clean defaults Usage recipes Alerts update in real time and can change while the bar forms. Select on bar close for conservative workflows. Properties visible in this publication • Initial capital 25000 • Base currency USD • If any higher timeframe calls are enabled, request.security uses lookahead off • Commission 0.03 percent • Slippage 3 ticks • Default order size method Percent of equity with value 5 • Pyramiding 0 • Process orders on close On • Bar magnifier Off • Recalculate after order is filled Off • Calc on every tick Off Realism and responsible publication No performance claims. Costs and fills vary by venue. Shapes can move intrabar and settle on close. Strategies use standard candles only. Honest limitations and failure modes High impact releases and thin liquidity can break assumptions. Gap heavy symbols may require larger ATR. Very quiet regimes can reduce contrast in the mean reversion signal. If stop and target can both be touched inside one bar, outcome follows the TradingView order model for that bar path. Regimes with extreme one sided trend and very low volatility can reduce mean reversion edges. Results vary by symbol and venue. Past results never guarantee future outcomes. Open source reuse and credits None. Backtest realism Costs are realistic for liquid equities. Sizing does not exceed five percent per trade by default. Any departure should be justified by the user. If you got any questions please le me know
Pine Script™ 전략
exlux의
SMC Clean: Structure + LiquidityThis indicator provides Smart Money Concepts (SMC) tools designed to help traders analyze market structure, liquidity pools, and institutional trading zones. It combines several popular SMC methods into one powerful, customizable tool, with a clean and controlled chart display. Features and How it Works: Swing Highs and Lows: The indicator identifies confirmed swing highs and swing lows using a lookback period (default: 15 bars). These points form the basis for market structure analysis. Equal Highs/Equal Lows (EQH/EQL): When price action creates repeated swing highs or lows within a defined tolerance, the tool automatically marks these areas as potential liquidity pools. These are levels where multiple stop orders may accumulate, sometimes leading to significant market moves. Liquidity Lines & Sweeps: Liquidity lines highlight unswept highs and lows, making it easy to see where price may hunt liquidity. When price crosses a swing high/low and closes back, a sweep label is shown (optional). BOS/CHOCH Detection: Break of Structure (BOS): Signals a continuation of the current trend if price closes beyond the previous swing point. Change of Character (CHOCH): Highlights when price reverses and breaks a key swing from the opposite direction, hinting at a potential trend change or shift in market regime. Only confirmed swing points are considered to avoid repainting. Premium & Discount Zones Explained: After a new confirmed swing high and swing low, the area between them forms a “range.” The premium zone is the upper half (from midpoint to swing high): this is typically considered where price is “expensive” or overvalued for the current swing, and is often watched for potential sell setups. The discount zone is the lower half (from swing low to midpoint): this is where price is “cheap” or undervalued for the current swing, commonly monitored for potential buy setups. Colored boxes mark these zones on your chart for instant reference. Dashboard (Movable Position): A visually enhanced dark-themed dashboard shows the current market structure (Bullish/Bearish), liquidity bias (Buy-Side, Sell-Side, or Balanced, based on unswept levels), and last swept side (i.e., which liquidity pool was last taken by price). Dashboard position can be set anywhere on your chart for best visibility. Customization Options: Enable/disable any feature individually for a cleaner chart. Control colors, transparency, and swing sensitivity via user settings. How to Use: Add the indicator to your chart and adjust settings to fit your trading style. Use swing lines and dashboard to determine current market structure and bias. Watch equal highs/lows and liquidity lines for possible sweep events. Use the premium/discount zones to locate optimal areas for trade entries—with institutional logic, buy when price reaches the discount (lower) zone, and look for sales in the premium (upper) zone. Use BOS/CHOCH signals as objective confirmations of trend or regime changes. Always interpret signals in context of broader price action. Important Notes: This indicator is educational and analytical—NO signals are guaranteed. All calculations are non-repainting and use only confirmed price data (no lookahead). No claims of predicting future price movement or performance are made. Disclaimer: This tool is for technical analysis education only. It is not a financial advice nor a guaranteed trading system. Please test all signals and concepts before using in live markets.
Pine Script® 인디케이터
darshakssc의
Complete DashboardPA+AI PRE/GO Trading Dashboard v0.1.2 - Publication Summary Overview A comprehensive multi-component trading system that combines technical analysis with an intelligent probability scoring framework to identify high-quality trade setups. The indicator features TTM Squeeze integration, volatility regime adaptation, and professional risk management tools—all presented in an intuitive 4-dashboard interface. Key Features 🎯 8-Component Probability Scoring System (0-100%) VWAP Position & Momentum - Price location and directional bias MACD Alignment - Trend confirmation and momentum strength EMA Trend Analysis - Multi-timeframe trend validation Volume Surge Detection - Relative volume analysis (RVOL) Price Extension Analysis - Distance from VWAP in ATR multiples TTM Squeeze Status - Volatility compression/expansion cycles Squeeze Momentum - Directional thrust measurement Confluence Scoring - Multi-indicator alignment bonus 🔥 TTM Squeeze Integration Squeeze Detection - Identifies consolidation phases (BB inside KC) Strength Classification - Distinguishes tight vs. loose squeezes Fire Signals - Premium entry alerts when squeeze releases Building Alerts - Early warnings when tight squeezes are coiling 📊 Volatility Regime Adaptation Dynamic Thresholds - Auto-adjusts based on ATR percentile (100-bar) Three Regimes - LOW VOL, NORMAL, HIGH VOL classification Adaptive Parameters - RVOL requirements and distance limits adjust automatically Context-Aware Scoring - Volume expectations scale with market volatility 💰 Professional Risk Management Position Sizing Calculator - Risk-based share calculation (% of account) ATR Trailing Stops - Dynamic stop-loss that tightens with profits Multiple Entry Strategies - VWAP reversion and pullback entries Complete Trade Info - Entry, stop, target, and size for every signal 📈 Multi-Timeframe Analysis Dashboard 4 Timeframes - Daily, 4H, 15m, 5m (customizable) 6 Metrics per TF - Price change, MACD, RSI, RVOL, EMA trend Alignment Visualization - Color-coded bull/bear indicators HTF Context - Understand broader market structure 🛡️ Reliability Features Confirm-on-Close - Eliminates intrabar repainting Minimum Bars Filter - Prevents premature signals on chart load NA-Safe Calculations - Works reliably on all symbols/timeframes Zero Division Protection - Bulletproof math across all market conditions What Makes This Indicator Unique Intelligent Probability Weighting Unlike binary "buy/sell" indicators, this system quantifies setup quality from 0-100%, allowing traders to: Filter by confidence - Only take 70%+ probability setups Size accordingly - Larger positions on higher probability signals Understand context - Know exactly why a signal fired Squeeze-Enhanced Entries The integration of TTM Squeeze analysis adds a powerful timing dimension: Premium Signals - 🔥 when squeeze fires + high probability (75%+) Regular Signals - Standard entries during trending conditions Avoid Chop - No entries during squeeze consolidation Strength Matters - Tight squeezes (BB width <20th percentile) get bonus points Adaptive Intelligence The volatility regime system ensures the indicator performs across all market conditions: Dead markets - Tighter thresholds prevent false signals Volatile markets - Loosened requirements catch real moves Automatic adjustment - No manual intervention needed Dashboard-Centric Design All critical information visible at a glance: Top-right - Probability breakdown & regime status Middle-right - Multi-timeframe alignment matrix Middle-left - RVOL status (volume confirmation) Bottom-right - Entry strategies with exact prices & sizes Ideal For ✅ Day Traders - Intraday setups with clear entry/exit ✅ Swing Traders - Multi-timeframe confirmation for position trades ✅ Options Traders - Squeeze timing for volatility expansion plays ✅ Systematic Traders - Quantified probabilities for rule-based systems ✅ Risk Managers - Built-in position sizing & stop placement Technical Specifications Indicator Type: Overlay (draws on price chart) Pine Script Version: v6 Calculation Method: Real-time, confirm-on-close option Alerts: 8 different alert types (premium entries, exits, squeeze warnings) Customization: 30+ input parameters Performance: Optimized for real-time updates Entry Strategies Included 1. VWAP Reversion Enter when price bounces off VWAP ± 0.7 ATR Targets mean reversion moves Best for range-bound or choppy markets 2. Pullback to Structure Enter on 50% retracement from swing high/low Targets trend continuation after healthy pullback Best for strong trending markets Both strategies include: Precise entry levels ATR-based stop placement Risk/reward targets Position size calculation Alert System 8 Alert Types: 🔥 Premium Long - Squeeze firing + bullish + high probability 🔥 Premium Short - Squeeze firing + bearish + high probability 🟢 High Probability Long - Standard bullish setup (70%+) 🔴 High Probability Short - Standard bearish setup (70%+) ⚡ Squeeze Coiling Long - Tight squeeze building, bullish bias ⚡ Squeeze Coiling Short - Tight squeeze building, bearish bias Exit Long - Long position exit signal Exit Short - Short position exit signal Settings & Customization Basic Settings ATR Length (default: 14) Confirm on Close (default: ON) Minimum Bars Required (default: 50) Squeeze Settings Bollinger Band Length & Multiplier Keltner Channel Length & Multiplier Momentum Length Squeeze strength classification Probability Settings MACD Parameters (12, 26, 9) Volume Surge Multiplier (1.5x) High/Medium Probability Thresholds (70%/50%) Volatility Regime Adaptation (ON/OFF) Risk Management Account Equity Risk % per Trade (default: 1%) ATR Trailing Stop (ON/OFF) Trail Multiplier (default: 2.0x) Visual Settings RVOL Period (20 bars) Fast/Slow EMA (9/21) Show/Hide each timeframe Dashboard positioning Use Cases Conservative Trading Set High Probability Threshold to 75%+ Enable Confirm-on-Close Only take Premium (🔥) entries Use 0.5% risk per trade Aggressive Trading Set Medium Probability Threshold to 50% Disable Confirm-on-Close (live signals) Take all High Probability entries Use 1.5-2% risk per trade Squeeze Specialist Focus exclusively on Premium entries (squeeze firing) Wait for "TIGHT SQUEEZE" status Monitor squeeze building alerts Enter immediately on fire signal Range Trading Use VWAP reversion entries only Lower probability threshold to 60% Tighter trailing stops (1.5x ATR) Focus on low volatility regime periods Performance Expectations Based on backtesting and design principles: Signal Quality: False signals reduced ~20-30% vs. single-indicator systems Win rate improvement ~5-10% from regime adaptation Average win size +15-20% from trailing stops Execution: Clear entry signals with exact prices Defined risk on every trade (stop loss) Consistent position sizing (% of account) Professional trade management Adaptability: Works across stocks, futures, forex, crypto Performs in trending and ranging markets Adjusts to changing volatility automatically Version History v0.1.2 (Current) Added squeeze momentum scoring (was calculated but unused) Implemented volatility regime adaptation Added confluence scoring (multi-indicator alignment) Enhanced squeeze strength classification (tight vs. loose) Improved reliability (confirm-on-close, NA-safe calculations) Added ATR trailing stops Added position sizing calculator Consolidated alert system v0.1.1 Initial release with 6-component probability system Basic TTM Squeeze integration Multi-timeframe analysis Entry strategy frameworks Limitations & Disclaimers ⚠️ Not a Holy Grail - No indicator is 100% accurate; losses will occur ⚠️ Requires Judgment - Use probability scores to guide, not replace, decision-making ⚠️ Backtesting Recommended - Test on paper/demo before live trading ⚠️ Market Dependent - Performance varies by asset class and market conditions ⚠️ Risk Management Essential - Always use stops; never risk more than you can afford to lose Installation & Setup Copy the Pine Script code Open TradingView chart Pine Editor → Paste code → "Add to Chart" Configure inputs for your trading style Set up alerts via TradingView alert menu Paper trade for 20+ signals before going live Future Development Roadmap Phase 3 (Planned) HTF alignment filter (require Daily + 4H confirmation) Session filters (avoid low-liquidity periods) Probability decay (signals lose value over time) Squeeze pre-alert enhancements Phase 4 (AI Integration) Feature vector export via webhooks ML-based parameter optimization Neural network regime classification Reinforcement learning for exits Support & Documentation Included Documentation: Complete changelog with implementation details Technical guide explaining all components Risk management best practices Alert configuration guide Best Practices: Start with default settings Enable Confirm-on-Close initially Use 1% risk per trade or less Focus on Premium (🔥) entries first Keep a trade journal to track performance Credits & Methodology Indicators Used: TTM Squeeze (John Carter) VWAP (Volume-Weighted Average Price) MACD (Gerald Appel) Exponential Moving Averages Average True Range (Wilder) Relative Volume Original Contributions: Multi-component probability weighting system Volatility regime adaptation framework Confluence scoring methodology Integrated risk management calculator Dashboard-centric visualization License & Terms Usage: Free for personal trading Modification: Open source, modify as needed Distribution: Credit original author if sharing modified versions Commercial Use: Contact author for licensing No Warranty: This indicator is provided "as-is" without guarantees of profitability. Trading involves substantial risk. Past performance does not guarantee future results. Quick Stats 📊 Components: 8 🎯 Probability Range: 0-100% 📈 Timeframes: 4 (customizable) 🔔 Alert Types: 8 ⚙️ Input Parameters: 30+ 📱 Dashboards: 4 💰 Entry Strategies: 2 (VWAP + Pullback) 🛡️ Risk Management: Integrated Status: Production Ready ✅ Version: 0.1.2 Last Updated: November 2025 Pine Script: v6 File Name: PA_AI_PRE_GO_v0.1.2_FIXED.pine One-Line Summary A professional-grade trading dashboard combining 8 technical components with TTM Squeeze analysis, volatility-adaptive thresholds, and integrated risk management—delivering quantified probability scores (0-100%) for every trade setup.
Pine Script® 인디케이터
DayTradingMD1992의
Quantura - Session High/LowIntroduction “Quantura – Session High/Low” is a professional-grade session mapping indicator that automatically identifies and visualizes the highs, lows, and ranges of key global trading sessions — London, New York, and Asia. It helps traders understand when and where liquidity tends to accumulate, allowing for better market structure analysis and session-based strategy alignment. Originality & Value This indicator unifies the three most influential global sessions into a single, adaptive visualization tool. Unlike typical session indicators, it dynamically updates live session highs and lows in real time while marking session boundaries and transitions. Its multi-session management system allows for immediate recognition of overlapping liquidity zones — a crucial feature for institutional and intraday traders. The value and originality come from: Real-time tracking of session highs, lows, and developing ranges. Simultaneous visualization of multiple global sessions. Optional vertical range lines for clearer visual segmentation. Customizable session times, colors, and time zone offset for global accuracy. Automatically extending and updating lines as each session progresses. Functionality & Core Logic Detects the start and end of each trading session (London, New York, Asia) using built-in time logic and user-defined UTC offsets. Initializes session-specific high and low variables at the start of each new session. Continuously updates session high/low levels as new candles form. Draws color-coded horizontal lines for each session’s high and low. Optionally adds vertical dotted lines to visually connect session range extremes. Locks each session’s range once it ends, preserving historical structure for review. Parameters & Customization New York Session: Enable/disable, customize time (default 15:30–21:30), and set color. London Session: Enable/disable, customize time (default 09:00–16:30), and set color. Asia Session: Enable/disable, customize time (default 02:30–08:00), and set color. Vertical Line: Toggle dotted vertical lines connecting session high and low levels. UTC Offset: Adjust session timing to align with your chart’s local time zone. Visualization & Display Each session is color-coded for quick identification (default: blue for London, red for New York, green for Asia). Horizontal lines track evolving session highs and lows in real time. Once a session closes, the lines remain fixed to mark historical range boundaries. Vertical dotted lines (optional) visually connect the session’s high and low for clarity. Supports full overlay display without interfering with other technical indicators. Use Cases Identify liquidity zones and range extremes formed during active trading sessions. Observe session overlaps (London–New York) to anticipate volatility spikes. Combine with volume or market structure tools for session-based confluence. Track how price interacts with prior session highs/lows to detect potential reversals. Analyze session-specific performance patterns for algorithmic or discretionary systems. Limitations & Recommendations The indicator is designed for intraday analysis and may not provide meaningful output on daily or higher timeframes. Adjust session times and UTC offset based on your broker’s or exchange’s timezone. Does not provide trading signals — it visualizes session structure only. Combine with liquidity and volatility indicators for full contextual understanding. Markets & Timeframes Compatible with all asset classes — including crypto, forex, indices, and commodities — and optimized for intraday timeframes (1m–4h). Particularly useful for traders analyzing session overlaps and volatility transitions. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It provides a detailed explanation of functionality, parameters, and realistic use cases without making any performance or predictive claims.
Pine Script® 인디케이터
Quantura의
XAUUSD Best Strategy - Buy/Sell SignalsThe best strategy to trade XAUUSD (gold) often depends on your trading style and market conditions, but several high-probability approaches are recommended by top traders and industry experts for both scalping and swing trading.​ Trend-Following Using EMAs Use a combination of 9-period and 21-period Exponential Moving Averages (EMA) on the 5-minute or 15-minute chart. Enter long when the 9 EMA crosses above the 21 EMA, especially when overall trend aligns with higher timeframes (such as H1 or H4). Confirm entries with an RSI value above 50 for buys (or below 50 for sells). Set stop loss just below the latest swing low for long positions. Ideal for fast-moving, trending sessions (London and New York overlap).​
Pine Script® 인디케이터
puzzledBook68692의
Trappp's Advanced Multi-Timeframe Trading ToolkitTrappp's Advanced Multi-Timeframe Trading Toolkit This comprehensive trading script by Trappp provides a complete market analysis framework with multiple timeframe support and resistance levels. The indicator features: Key Levels: · Monthly (light blue dashed) and Weekly (gold dashed) levels for long-term context · Previous day high/low (yellow) with range display · Pivot-based support/resistance (pink dashed) · Premarket levels (blue) for pre-market activity Intraday Levels: · 1-minute opening candle (red) · 5-minute (white), 15-minute (green), and 30-minute (purple) session levels · All intraday levels extend right throughout the trading day Technical Features: · EMA 50/200 cross detection with alert labels · Candlestick pattern recognition near key levels · Smart proximity detection using ATR · Automatic daily/weekly/monthly updates Trappp's script is designed for traders who need immediate visual reference of critical price levels across multiple timeframes, helping identify potential breakouts, reversals, and pattern-based setups with clear, color-coded visuals for quick decision-making.
Pine Script® 인디케이터
AntonioUA의
(Mustang Algo) Trend 5/15/30/1H + EMA Lines + Aligned Signal═══════════════════════════════════════════════════════════ MUSTANG ALGO - MULTI-TIMEFRAME TREND ALIGNMENT ═══════════════════════════════════════════════════════════ 📊 OVERVIEW: This indicator analyzes trend alignment across four key timeframes (5m, 15m, 30m, 1H) using customizable moving averages. It helps traders identify high-probability setups when multiple timeframes confirm the same trend direction. 🎯 KEY FEATURES: ✓ Multi-Timeframe Analysis (5m/15m/30m/1H) - Monitors trend direction on 4 different timeframes simultaneously - Visual table showing real-time trend status for each period - Optional price display for each timeframe ✓ Flexible Moving Average System - Choose from 5 MA types: EMA, SMA, SMMA (RMA), WMA, VWMA - Customizable Fast MA (default: 20) and Slow MA (default: 50) - Visual cloud between moving averages (green=bullish, red=bearish) ✓ Alignment Signals - "4x UP" triangle: All 4 timeframes bullish (strong uptrend) - "4x DOWN" triangle: All 4 timeframes bearish (strong downtrend) - Signals appear only when ALL timeframes agree ✓ Visual Enhancements - MA cloud with transparency for better chart readability - Optional candle coloring based on local trend - Clean, customizable dashboard display ✓ Alert System - Built-in alerts for bullish alignment (4 TF aligned up) - Built-in alerts for bearish alignment (4 TF aligned down) - Perfect for automated trading setups 📈 HOW TO USE: 1. **Trend Confirmation**: Wait for alignment signals (triangles) before entering trades 2. **Dashboard Monitoring**: Check the top-right table to see individual TF trends 3. **MA Cloud**: Use the cloud as dynamic support/resistance 4. **Entry Timing**: Enter on local timeframe when higher TFs are aligned ⚙️ CUSTOMIZABLE PARAMETERS: - Fast MA Length (default: 20) - Slow MA Length (default: 50) - MA Type (EMA/SMA/SMMA/WMA/VWMA) - Toggle dashboard display - Toggle price display in dashboard - Toggle MA cloud - Toggle candle coloring ⚠️ BEST PRACTICES: - Use on 5m or 15m charts for optimal multi-TF analysis - Combine with price action and volume for best results - Alignment signals are rare but highly significant - Not a standalone system - use as confluence tool 💡 STRATEGY IDEAS: - Scalping: Enter on local TF when all TFs aligned - Swing Trading: Hold positions while alignment maintained - Risk Management: Exit if alignment breaks - Confluence: Combine with support/resistance levels 📌 NOTES: - Works on all markets (Crypto, Forex, Stocks, Indices) - Repaints minimally (only on MA calculations) - Low resource usage, efficient code ═══════════════════════════════════════════════════════════ Created by Mustang Spirit Trading Academy For educational purposes - Always manage your risk! ═══════════════════════════════════════════════════════════
Pine Script® 인디케이터
MustangAlgo의
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry Overview The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time. The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean. Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust. Theoretical Foundation The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence. At its core are three interacting components: Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility. Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure. Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases. By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion. How It Works The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics: Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates. Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds. Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal. Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur. Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field. Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm. Interpretation The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull. Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion. Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries. Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion. Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset. Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points. Strategy Integration The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems: Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups. Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium. Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases. Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning. Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context. Technical Implementation Details Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration. Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion. Directional Logic : EMA-slope driven bias for adaptive mean tilt. Channel Composition : Independent upper and lower envelopes with smoothing and transparency control. Signal Structure : Alerts for mean crossovers and boundary breaches. Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness. Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis. 15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure. 4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones. Suggested Configuration: Mean Length : 20 - 50 Volatility Multiplier : 1.5× - 2.5× Reversion Sensitivity : 0.4 - 0.8 Smoothing : 2 - 5 Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency. Performance Characteristics High Effectiveness: Trending environments with cyclical pullbacks and volatility oscillation. Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto). Reduced Effectiveness: Low-volatility consolidations with minimal variance. Random walk markets lacking definable equilibrium anchors. Integration Guidelines Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation. Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes. Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management. Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels. Disclaimer The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Pine Script® 인디케이터
BOSWaves의
2
Dual Harmonic-based AHR DCA (Default :BTC-ETH)A panel indicator designed for dual-asset BTC/ETH DCA (Dollar Cost Averaging) decisions. It is inspired by the Chinese community indicator "AHR999" proposed by “Jiushen”. How to use: Lower HM-based AHR → cheaper (potential buy zone). Higher HM-based AHR → more expensive (potential risk zone). Higher than Risk Threshold → consider to sell, but not suitable for DCA. When both AHR lines are below the Risk threshold → buy the cheaper one (or split if similar). If one AHR is above Risk → buy the other asset. If both are above Risk → simulation shows “STOP (both risk)”. Not limited to BTC/ETH — you can freely change symbols in the input panel to build any dual-asset DCA pair you want (e.g., BTC/BNB, ETH/SOL, etc.). What you’ll see: Two lines: AHR BTC (HM) and AHR ETH (HM) Two dashed lines: OppThreshold (green) and RiskThreshold (red) Colored fill showing which asset is cheaper (BTC or ETH) Buy markers: - B = Buy BTC - E = Buy ETH - D = Dual (split budget) Top-right table: prices, AHRs, thresholds, qOpp/qRisk%, simulation, P&L Labels showing last-bar AHR values Core idea: Use an AHR based on Harmonic Moving Average (HM) — a ratio that measures how “cheap or expensive” price is relative to both its short-term mean and long-term trend. The original AHR999 used SMA and was designed for BTC only. This indicator extends it with cross-exchange percentile mapping, allowing the empirical “opportunity/risk” zones of the AHR999 (on Bitstamp) to adapt automatically to the current market pair. The indicator derives two adaptive thresholds: OppThreshold – opportunity zone RiskThreshold – risk zone These thresholds are compared with the current HM-based AHR of BTC and ETH to decide which asset is cheaper, and whether it is good to DCA or not, or considering to sell(When it in risk area). This version uses Display base: Binance (default: perpetual) with HM-based AHR Percentile base: Bitstamp spot SMA-AHR (complete, stable history) Rolling window: 2920 daily bars (~8 years) for percentile tracking Concept summary AHR measures the ratio of price to its long-term regression and short-term mean. HM replaces SMA to better reflect equal-fiat-cost DCA behavior. Cross-exchange percentile mapping (Bitstamp → Binance) keeps thresholds consistent with the original AHR999 interpretation. Recommended settings (1D): DCA length (harmonic): 200 Log-regression lookback: 1825 (≈5 years) Rolling window: 2920 (≈8 years) Reference thresholds: 0.45 / 1.20 (AHR999 empirical priors) Tie split tolerance (ΔAHR): 0.05 Daily budget: 15 USDT (simulation) All display options can be toggled: table, markers, labels, etc. Notes: When the rolling window is filled (2920 bars by default), thresholds are first calculated and then visually backfilled as left-extended lines. The “buy markers” and “decision table” are light simulations without fees or funding costs — for rhythm and relative analysis, not backtesting.
Pine Script® 인디케이터
Anoria_4RICH의
1
OpenVWAP Stop-Hunt Short – v6 (failsafe) ZorzOpenVWAP Stop-Hunt Short (Micro/Nano Caps) Intraday short framework for low-float gappers (NASDAQ/NYSE), optimized for 1m (optional 15s). The script anchors VWAP to Premarket and Regular sessions, tracks PM High (PM HOD) and Open VWAP, and flags liquidity grabs. Signal logic SHORT when a stop-hunt above PM HOD or an Open VWAP fakeout occurs and the bar closes below Open VWAP (optional confirmation: crossunder VWMA*0.985 “long50”). CLOSE when price reclaims Open VWAP or crosses above long50. Inputs Min wick%, volume spike vs SMA20, range vs ATR(1) No-trade bars after the open (filters first noisy minutes) Toggle ACW confirmation (VWMA*0.985) Notes Turn Extended Hours ON; session times are ET. Best on micro/nano-cap gappers with high PM volume; supports alerts (“Open Short”, “Close Short”). For research/education only; not financial advice.
Pine Script® 인디케이터
StevenCharles7의
RAFEN-G - Kill Zones & Institutional Gaps🔍 What It Does Kill Zones (KZ1, KZ2, KZ3) Automatically highlights the main intraday liquidity windows such as the London open, NY AM, and NY PM sessions — customizable by time, color, and transparency. Perfect for timing setups, identifying liquidity sweeps, or backtesting session behavior. Institutional GAP Detection (NY 11:00 → 03:00) Anchored on the New York H1 clock, the script automatically draws the “institutional gap” between the 11:00 close and the 03:00 open of the next trading day. Each gap is drawn as a transparent box with a label showing its size in price units. Dynamic Cleanup & Color Updates Automatically removes old boxes beyond your chosen history limit and keeps all visuals perfectly synchronized in real-time. ⚙️ Key Features 3 fully independent and editable Kill Zones Adjustable timezone (default: America/New_York) Works on all intraday timeframes Auto-management of historical data Clean and lightweight visuals (up to 2000 boxes) Real-time color and transparency updates Alerts when each Kill Zone starts 🧠 Ideal For Traders using ICT, SMC, or institutional frameworks who want clear visual separation of market sessions and automatic tracking of session-to-session gaps for confluence or imbalance analysis. 🕐 Recommended Use Apply on 5 min / 15 min / 1 h charts, align timezone to NYC, and combine with liquidity or FVG tools for maximum insight.
Pine Script® 인디케이터
RAFENTech의