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指标和策略

1m Volume Spike vs Last 50 with minimum price and candle rangeThis indicator looks for very strong 1-minute momentum bursts backed by abnormal volume, while filtering out low-priced stocks. It highlights and alerts when a stock: Is trading above $20 Prints a 1-minute volume spike (≥ 10× its recent 1-minute average) Shows strong price conviction, where the current 1-minute candle body is almost as large as the previous candle’s body When all of this happens together, the candle is painted yellow and an alert can fire.
Pine Script®指标
由suparna_datta提供
H1 Liquidity Sweep Tracker🇬🇧 English: H1 Liquidity Sweep Tracker Overview The H1 Liquidity Sweep Tracker is a technical analysis tool designed for TradingView (Pine Script v5). It identifies "Liquidity Sweeps"—market movements where the price briefly breaches a significant level to trigger stop-loss orders before reversing. Core Functions H1 Level Detection: Regardless of your current timeframe (e.g., 1m, 5m, or 15m), the script automatically fetches the High and Low of the previous 1-hour candle. Real-Time Monitoring: It tracks price action relative to these levels to identify failed breakouts. Visual Indicators: Horizontal Lines: Displays the H1 High (Red) and H1 Low (Green) from the previous hour. Sweep Shapes: A triangle appears above/below the candle when a sweep is detected. How it Works (The Logic) A "Sweep" is triggered when the current price moves beyond the H1 boundary but fails to maintain that position: Bullish Sweep: The price drops below the previous H1 Low (collecting sell-side liquidity) but closes back above it. This suggests a potential upward reversal. Bearish Sweep: The price rises above the previous H1 High (collecting buy-side liquidity) but closes back below it. This suggests a potential downward reversal.
Pine Script®指标
由ingoschloemer提供
BTC Swing Plan Levels & ZonesThis indicator visualizes a clean, rules-based Bitcoin swing-trade plan with clearly defined entry, target, and risk zones. 🔹 What it shows • Breakout Entry Level • Multiple Profit Target Zones (T1 → T4) • Primary & Hard Stop Risk Zone • Mid-levels for structure awareness • Optional background highlight when price is above the breakout (plan active) All levels are fully editable from the settings panel, allowing you to adapt the framework to any BTC market regime or timeframe. 🔹 How to use Wait for price to break and hold above the Entry level Manage the trade target-by-target Respect the defined stop zone for risk control Stretch target (T4) is optional and meant for strong trend continuation 🔹 Designed for • Swing traders • Structure-based traders • Risk-managed BTC positioning • Clean chart layouts (no indicators, no noise) This tool is not a signal generator — it is a visual trade-planning framework. Always manage position size and risk responsibly.
Pine Script®指标
由hnourollahi提供
Ultimate Major Contextual Dashboard (Multi-Asset)Overview : The Ultimate Major Dashboard is a performance-optimized market overview tool designed to provide a consolidated snapshot of the 7 major Forex pairs and Gold. It aggregates correlation, trend, momentum, and volatility data into a single, clean table, allowing users to view broader market context without switching charts. Technical Logic & Components : This indicator utilizes a modular function to analyze EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD, and XAUUSD across four key dimensions: Intermarket Correlation (Pearson Coefficient): Uses ta.correlation() to compare each asset against the symbol currently on your main chart. Logic: Values above 0.7 (Dark Green) suggest a strong positive relationship, while values below -0.7 (Dark Red) suggest inverse behavior. This is calculated over a rolling 50-period window to balance stability with current market sensitivity. Trend Bias (EMA-200): Evaluates the long-term trend by checking price position relative to the 200-period Exponential Moving Average. Visuals: An upward arrow (⬆) indicates price is above the EMA; a downward arrow (⬇) indicates it is below. Momentum (RSI-14): Calculates the Relative Strength Index. The dashboard automatically highlights readings above 70 (OB) or below 30 (OS) to help identify potential momentum extremes. Volatility (ATR-14): Displays the Average True Range as a reference for the current active range of each market, helping users compare volatility levels across the majors. How to Interpret the Dashboard Asset Alignment: Correlation values help identify when pairs are moving in "unison" versus when a specific currency is diverging from the group. Directional Context: Combining the Trend (EMA) and Momentum (RSI) columns provides a quick view of whether a market is trending strongly or reaching an exhaustion point. Volatility Benchmarking: The ATR values offer perspective on which pairs are currently the most active, assisting in market comparison based on volatility preference. Data Handling & Customization Multi-Symbol Sync: Data is fetched using request.security(). The calculations are synchronized with the chart's current bar state for real-time accuracy. Dynamic TF: Users can select the analysis timeframe (60, 240, D, W) via the settings menu. Flexibility: The dashboard position can be toggled between all four corners of the chart to avoid overlapping with price action. Disclaimer This tool is provided for analytical and educational purposes only. It does not generate trading signals and should not be considered financial advice.
Pine Script®指标
由HTDFR提供
VWAP + EMA 20/50 Scalping PRO - PRAKASH✅ VWAP + EMA 20/50 SCALPING — PRO RULES 1️⃣ Chart Setup (30 seconds) Timeframe: 1-min or 3-min Indicators: VWAP (Session) EMA 20 EMA 50 Use on Index chart (NIFTY / SENSEX), not option chart 2️⃣ Trend Filter (FIRST CHECK) Condition Market Bias EMA 20 > EMA 50 Bullish EMA 20 < EMA 50 Bearish EMA 20 = EMA 50 (flat) ❌ No trade 👉 Never trade against EMA alignment 3️⃣ VWAP Position = Permission Price vs VWAP Allowed Trade Price above VWAP CE only Price below VWAP PE only Price cutting VWAP ❌ Skip 👉 VWAP decides BUY or SELL side 4️⃣ ENTRY SETUP (MOST IMPORTANT) ✅ CE ENTRY EMA 20 > EMA 50 Price above VWAP Pullback to EMA 20 or VWAP Strong green candle close ✅ PE ENTRY EMA 20 < EMA 50 Price below VWAP Pullback to EMA 20 or VWAP Strong red candle close 5️⃣ STOP LOSS & TARGET (FIXED) Target: 10–15 points SL: Below EMA 20 (CE) Above EMA 20 (PE) Risk : Reward ≥ 1:2 ❌ No SL = no trade 6️⃣ STRIKE SELECTION (OPTION SIDE) Trade ATM or ±1 strike Premium range: ₹80–₹150 Strike must move immediately 7️⃣ DO NOT TRADE WHEN ❌ EMA 20 & 50 flat Price inside VWAP First 5 minutes of market Low volume candles
Pine Script®指标
由preakash15提供
STOP_TRADING_MODE📘 Release Notes STOP_TRADING_MODE — Stable Release Version: 1.0.0 Status: Stable / Production-ready ⸻ 🎯 Purpose This indicator is designed to identify market regimes, not to generate constant trade signals. Its primary goal is to protect the trader from low-quality environments and highlight rare, high-quality interaction points with equilibrium. ⸻ 🧠 Core Concepts • STOP Mode — identifies impulsive, dangerous, or one-sided market conditions • Equilibrium (MID / EQ) — represents the auction balance, not a trend level • MAGNET vs SPRING — distinguishes range behavior from trend behavior • EQ_HOLD — highlights valid reactions at equilibrium only in a range-friendly environment ⸻ ✅ What’s Included 🔴 STOP Mode (Background Only) • Red background marks: • volatility spikes (ATR expansion) • impulsive candles • one-directional movement • No entry signals • Used strictly as a risk-environment filter 🟨 MID (Equilibrium Line) • Calculated as SMA of HL2 • Acts as: • Magnet in ranging markets • Spring in trending markets • Not a trade trigger by itself 🔁 MAGNET / SPRING Regime Detection • Based on: • frequency of MID crossings • time spent near equilibrium • market “trendiness” ratio • Regime labels appear only when the regime changes • Prevents constant label repainting or noise 🟢 EQ_HOLD Signal (Rare by Design) • Triggered only when: • STOP mode is OFF • MID behaves as MAGNET • price reacts cleanly at equilibrium • Designed for micro-scaling / position management, not aggressive entries • Low frequency = high informational value ⸻ 🚫 What Was Removed (By Design) • No STOP / STOP_OFF labels on chart (alerts only) • No constant signal spam • No reliance on trend prediction • No “buy/sell” prompts ⸻ 🎛 UI & Usability Improvements • Clean, minimal visual layout • Color logic aligned with meaning: • 🔴 Risk / danger • 🟨 Balance / structure • 🟢 Action-permitted condition • Optional toggles for regime and EQ_HOLD labels ⸻ 🧪 Known Behavior (Not Bugs) • MID crossing does not immediately change regime • STOP may activate after entry — this signals risk management mode, not exit • EQ_HOLD appears infrequently by intention ⸻ 🧩 Intended Usage • Best suited for: • range-aware traders • scale-in / scale-out strategies • discretionary decision support • Not intended for: • high-frequency trading • signal-following automation • prediction-based entries ⸻ 🧠 Design Philosophy “Silence is a feature.” If the indicator does nothing — the market likely offers nothing worth doing.
Pine Script®指标
由danilita247提供
Fed Balance Sheet (Candles)Fed Balance Sheet (Candles) - TradingView Description 📊 OVERVIEW Fed Balance Sheet (Candles) transforms the Federal Reserve's total assets into an intuitive candlestick visualization, allowing you to track monetary policy changes with the same visual language you use for price action. This indicator pulls real-time data directly from FRED (Federal Reserve Economic Data) and displays the Total Assets of All Federal Reserve Banks as dynamic candles on your chart, making it effortless to correlate central bank liquidity with market movements. 🎯 WHY THIS MATTERS The Federal Reserve's balance sheet is one of the most powerful leading indicators in global markets. When the Fed expands its balance sheet (Quantitative Easing), it injects liquidity into the financial system, historically correlating with: Rising asset prices (stocks, crypto, commodities) Lower volatility Risk-on sentiment Currency devaluation When the Fed contracts its balance sheet (Quantitative Tightening), liquidity drains from markets, often leading to: Asset price pressure Increased volatility Risk-off sentiment Dollar strength By visualizing this as candles, you can instantly see: The pace of change (candle size) The direction (green = expansion, red = contraction) Acceleration or deceleration (consecutive candles in same direction) Pivots in monetary policy (color changes from green to red or vice versa) 🔧 HOW IT WORKS Data Source Source: Federal Reserve Economic Data (FRED) Metric: Total Assets of All Federal Reserve Banks Unit: Displayed in Trillions of USD for easy reading Frequency: Weekly updates (every Wednesday) Candlestick Construction Since balance sheet data is reported as a single number each week (not traditional open-high-low-close), this indicator creates candles by comparing each period to the previous one: Open = Last week's balance sheet value Close = This week's balance sheet value High = The higher of the two values Low = The lower of the two values This captures directional movement and magnitude of change, making it intuitive for traders accustomed to candlestick analysis. Color Scheme 🟢 GREEN CANDLES (Expanding Balance Sheet) When this week's value is higher than last week's Interpretation: Fed is adding liquidity (Quantitative Easing) Historically bullish for risk assets 🔴 RED CANDLES (Contracting Balance Sheet) When this week's value is lower than last week's Interpretation: Fed is removing liquidity (Quantitative Tightening) Historically bearish or neutral for risk assets Value Label A floating label displays the current balance sheet value in trillions (e.g., "$8.75T") so you always know the exact figure at a glance. 📈 PRACTICAL APPLICATIONS 1. Market Regime Identification Strings of green candles = Liquidity-driven bull markets Strings of red candles = Tightening-induced bear markets or corrections Color transitions = Potential market inflection points 2. Correlation Analysis Overlay on stock indices (SPY, QQQ, IWM) Overlay on crypto (BTC, ETH) Overlay on commodities (Gold, Silver) Observe how asset prices react to Fed liquidity changes in real-time 3. Macro Timing Large green candles = Aggressive easing (crisis response) Large red candles = Aggressive tightening (inflation fighting) Small candles = Neutral policy (Fed on hold) 4. Risk Management Shift portfolio allocation based on liquidity environment Reduce leverage during red candle trends Increase exposure during green candle trends Use as confirmation for other technical signals 5. Multi-Timeframe Context Daily charts: See how daily price action relates to weekly Fed data Weekly charts: Perfect alignment with data release frequency Monthly charts: Visualize long-term monetary cycles spanning years ⚙️ SETTINGS Zero configuration needed. Simply add the indicator to any chart and it works immediately. The indicator automatically: Overlays on your main chart Uses the left price scale (won't interfere with asset prices) Updates with the latest Fed data Displays values in trillions for clean readability 🎨 VISUAL DESIGN PHILOSOPHY The indicator uses semi-transparent candle bodies with vibrant borders to maintain visibility without obscuring your price action. The color scheme follows universal chart conventions where green represents growth/expansion and red represents decline/contraction. It's designed to blend seamlessly into any chart theme while providing immediate visual clarity about the Fed's monetary stance. 📚 WHAT YOU NEED TO KNOW Data Availability Historical data available from December 2002 (over 20 years of Fed policy) Updates every Wednesday (Federal Reserve's reporting schedule) Typically published with a 1-week lag How the Data Appears On weekdays: Shows the most recent Wednesday's data On weekends: Shows Friday's data (which is the prior Wednesday's figure) Updates automatically when new data is released Scale Considerations The Fed's balance sheet is measured in trillions, while most assets are priced much lower. The indicator uses the left price scale by default to avoid conflicts with your main asset's price scale. You can easily move it to a separate pane if you prefer. 🧠 INTERPRETATION GUIDE Historical QE Phases (Green Candles) 2008-2014: Financial Crisis Response The Fed's balance sheet expanded from under $1T to ~$4.5T to stabilize markets after the mortgage crisis. 2020: COVID-19 Response Rapid expansion to ~$7T as the Fed stepped in during pandemic lockdowns. 2020-2022: Extended Support Balance sheet reached historic peak of ~$9T. Historical QT Phases (Red Candles) 2017-2019: First Modern QT Attempt The Fed tried to normalize its balance sheet, reducing it from ~$4.5T to ~$3.8T before pivoting. 2022-Present: Inflation-Fighting QT The Fed began shrinking its balance sheet to combat inflation, letting bonds mature without replacement. Key Insights Size matters, but rate of change matters MORE. A $9T balance sheet growing slowly has different implications than a $5T balance sheet growing rapidly. Watch for acceleration. Increasingly large candles (up or down) signal a policy shift that markets will notice. Plateaus mean "wait and see." Tiny candles indicate the Fed is holding steady and watching economic data. Reversals are major events. When candles switch from green to red (or vice versa), the Fed has changed course—these are critical market turning points. 🎓 EDUCATIONAL VALUE This indicator helps you understand: The mechanics of monetary policy through visual learning The lag between Fed actions and market reactions by observing temporal correlation The scale of modern central banking (trillions put into perspective) The relationship between liquidity and asset prices (cause and effect in action) Many traders talk about "don't fight the Fed" but never actually track what the Fed is doing. Now you can see it as clearly as you see price action. 🔗 RELATED CONCEPTS For comprehensive macro analysis, consider also tracking: Fed Funds Rate (short-term interest rates) M2 Money Supply (broader measure of money in circulation) Treasury Yield Curves (bond market expectations) Dollar Index (DXY) (currency strength) VIX (market fear/volatility) The Fed's balance sheet is just one piece of the puzzle, but it's arguably the most important one for understanding liquidity conditions. ⚠️ DISCLAIMER This indicator displays publicly available economic data from the Federal Reserve. It is for informational and educational purposes only and does not constitute financial advice. Important considerations: Past monetary policy does not guarantee future market outcomes Correlation does not equal causation Asset prices are influenced by many factors beyond Fed liquidity Always use proper risk management Consult with qualified financial professionals before making investment decisions Trading involves substantial risk of loss and is not suitable for everyone. 📜 VERSION HISTORY Version 1.0 - Initial Release Fed balance sheet visualized as candlesticks Real-time FRED data integration Automatic display in trillions Dynamic color coding (green/red) Current value label with exact figure 💡 WHY CANDLES? You might wonder: "Why show the Fed's balance sheet as candles instead of a line?" Because candles tell stories that lines can't. A line shows you where we are Candles show you how we got here, how fast we're moving, and what momentum looks like Candles make the Fed's actions feel immediate and tangible Candles connect macro data to the chart language you already speak When you see three big green candles in a row on the Fed balance sheet while your crypto or stock portfolio is rallying, you feel the connection. When you see the candles turn red and shrink, you understand the headwinds forming. It transforms dry economic data into actionable market intelligence. 📞 SUPPORT & FEEDBACK If you find this indicator valuable: ⭐ Like and favorite to help others discover it 📝 Comment with your use cases and insights 🔔 Follow for updates and new macro indicators Your feedback drives improvements and helps build better tools for the trading community. 🚀 THE BOTTOM LINE The Fed's balance sheet is the tide that lifts or lowers all boats. Whether you're trading stocks, crypto, forex, or commodities—whether you're a day trader or long-term investor—understanding the Fed's liquidity operations gives you an edge. This indicator makes that understanding visual, immediate, and actionable. Stop guessing about macro conditions. Start seeing them. "Don't fight the Fed" - Wall Street Wisdom Now you can see exactly what they're doing—in the same language you use to read price action. May your trades ride the tide of liquidity. 🌊📈
Pine Script®指标
由KevinSvenson_提供
[GYTS] Volatility Toolkit Volatility Toolkit 🌸 Part of GoemonYae Trading System (GYTS) 🌸 🌸 --------- INTRODUCTION --------- 🌸 💮 What is Volatility Toolkit? Volatility Toolkit is a comprehensive volatility analysis indicator featuring academically-grounded range-based estimators. Unlike simplistic measures like ATR, these estimators extract maximum information from OHLC data — resulting in estimates that are 5-14× more statistically efficient than traditional close-to-close methods. The indicator provides two configurable estimator slots, weighted aggregation, adaptive threshold detection, and regime identification — all with flexible smoothing options via GYTS FiltersToolkit integration. 💮 Why Use This Indicator? Standard volatility measures (like simple standard deviation) are highly inefficient, requiring large amounts of data to produce stable estimates. Academic research has shown that range-based estimators extract far more information from the same price data: • Statistical Efficiency — Yang-Zhang achieves up to 14× the efficiency of close-to-close variance, meaning you can achieve the same estimation accuracy with far fewer bars • Drift Independence — Rogers-Satchell and Yang-Zhang correctly isolate variance even in strongly trending markets where simpler estimators become biased • Gap Handling — Yang-Zhang properly accounts for overnight gaps, critical for equity markets • Regime Detection — Built-in threshold modes identify when volatility enters elevated or suppressed states ↑ Overview showing Yang-Zhang volatility with dynamic threshold bands and regime background colouring 🌸 --------- HOW IT WORKS --------- 🌸 💮 Core Concept The toolkit groups volatility estimators by their output scale to ensure valid comparisons and aggregations: • Log-Return Scale (σ) — Close-to-Close, Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang. These are comparable and can be aggregated. Annualisable via √(periods_per_year) scaling. • Price Unit Scale ($) — ATR. Measures volatility in absolute price terms, directly usable for stop-loss placement. • Percentage Scale (%) — Chaikin Volatility. Measures the rate of change of the trading range — whether volatility is expanding or contracting. Only estimators with the same scale can be meaningfully compared or aggregated. The indicator enforces this and warns when mixing incompatible scales. 💮 Range-Based Estimator Overview Range-based estimators utilise High, Low, Open, and Close prices to extract significantly more information about the underlying diffusion process than close-only methods: • Parkinson (1980) — Uses High-Low range. ~5× more efficient than close-to-close. Assumes zero drift. • Garman-Klass (1980) — Incorporates Open and Close. ~7.4× more efficient. Assumes zero drift, no gaps. • Rogers-Satchell (1991) — Drift-independent. Superior in trending markets where Parkinson/GK become biased. • Yang-Zhang (2000) — Composite estimator handling both drift and overnight gaps. Up to 14× more efficient. 💮 Theoretical Background • Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53 (1), 61–65. DOI • Garman, M.B. & Klass, M.J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53 (1), 67–78. DOI • Rogers, L.C.G. & Satchell, S.E. (1991). Estimating Variance from High, Low and Closing Prices. Annals of Applied Probability, 1 (4), 504–512. DOI • Yang, D. & Zhang, Q. (2000). Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices. Journal of Business, 73 (3), 477–491. DOI 🌸 --------- KEY FEATURES --------- 🌸 💮 Feature Reference Estimators (8 options across 3 scale groups): • Close-to-Close — Classical benchmark using closing prices only. Least efficient but useful as baseline. Log-return scale. • Parkinson — Range-based (High-Low), ~5× more efficient than close-to-close. Assumes zero drift. Log-return scale. • Garman-Klass — OHLC-optimised, ~7.4× more efficient. Assumes zero drift, no gaps. Log-return scale. • Rogers-Satchell — Drift-independent, handles trending markets where Parkinson/GK become biased. Log-return scale. • Yang-Zhang — Gap-aware composite, most comprehensive (up to 14× efficient). Uses internal rolling variance (unsmoothed). Log-return scale. • Std Dev — Standard deviation of log returns. Log-return scale. • ATR — Average True Range in absolute price units. Useful for stop-loss placement. Price unit scale. • Chaikin — Rate of change of range. Measures volatility expansion/contraction, not level. Percentage scale. Smoothing Filters (10 options via FiltersToolkit): • SMA / EMA — Classical moving averages • Super Smoother (2-Pole / 3-Pole) — Ehlers IIR filter with excellent noise reduction • Ultimate Smoother (2-Pole / 3-Pole) — Near-zero lag in passband • BiQuad — Second-order IIR with configurable Q factor • ADXvma — Adaptive smoothing, flat during ranging periods • MAMA — MESA Adaptive Moving Average (cycle-adaptive) • A2RMA — Adaptive Autonomous Recursive MA Threshold Modes: • Static — Fixed threshold values you define (e.g., 0.025 annualised) • Dynamic — Adaptive bands: baseline ± (standard deviation × multiplier) • Percentile — Threshold at Nth percentile of recent history (e.g., 80th percentile for high) Visual Features: • Level-based colour gradient — Line colour shifts with percentile rank (warm = high vol, cool = low vol) • Fill to zero — Gradient fill intensity proportional to volatility level • Threshold fills — Intensity-scaled fills when thresholds are breached • Regime background — Chart background indicates HIGH/NORMAL/LOW volatility state • Legend table — Displays estimator names, parameters, current values with percentile ranks (P##) 💮 Dual Estimator Slots Compare two volatility estimators side-by-side. Each slot independently configures: • Estimator type (8 options across three scale groups) • Lookback period and smoothing filter • Colour palette and visual style This enables direct comparison between estimators (e.g., Yang-Zhang vs Rogers-Satchell) or between different parameterisations of the same estimator. ↑ Yang-Zhang (reddish) and Rogers-Satchell (greenish) 💮 Flexible Smoothing via FiltersToolkit All estimators (except Yang-Zhang, which uses internal rolling variance) support configurable smoothing through 10 filter types. Using Infinite Impulse Response (IIR) filters instead of SMA avoids the "drop-off artefact" where volatility readings crash when old spikes exit the window. Example: Same estimator (Parkinson) with different smoothing filters Add two instances of Volatility Toolkit to your chart: • Instance 1: Parkinson with SMA smoothing (lookback 14) • Instance 2: Parkinson with Super Smoother 2-Pole (lookback 14) Notice how SMA creates sharp drops when volatile bars exit the window, while Super Smoother maintains a gradual transition. ↑ Two Parkinson estimators — SMA (red mono-colour, showing drop-off artefacts) vs Super Smoother (turquoise mono colour, with smooth transitions) ↑ Garman-Klass with BiQuad (orangy) and 2-pole SuperSmoother filters (greenish) 💮 Weighted Aggregation Combine multiple estimators into a single weighted average. The indicator automatically: • Validates scale compatibility (only same-scale estimators can be aggregated) • Normalises weights (so 2:1 means 67%:33%) • Displays clear warnings when scales differ Example: Robust volatility estimate Combine Yang-Zhang (handles gaps) with Rogers-Satchell (handles drift) using equal weights: • E1: Yang-Zhang (14) • E2: Rogers-Satchell (14) • Aggregation: Enabled, weights 1:1 The aggregated line (with "fill to zero" enabled) provides a more robust estimate by averaging two complementary methodologies. ↑ Yang-Zhang + Rogers-Satchell with aggregation line (thicker) showing combined estimate (notice how opening gaps are handled differently) Example: Trend-weighted aggregation In strongly trending markets, weight Rogers-Satchell more heavily since it's drift-independent: • Estimator 1: Garman-Klass (faster, higher weight in ranging) • Estimator 2: Rogers-Satchell (drift-independent, higher weight in trends) • Aggregation: weights 1:2 (favours RS during trends) 💮 Adaptive Threshold Detection Three threshold modes for identifying volatility regime shifts. Threshold breaches are visualised with intensity-scaled fills that grow stronger the further volatility exceeds the threshold. Example: Dynamic thresholds for regime detection Configure dynamic thresholds to automatically adapt to market conditions: • High Threshold Mode: Dynamic (baseline + 2× std dev) • Low Threshold Mode: Dynamic (baseline - 2× std dev) • Show threshold fills: Enabled This creates adaptive bands that widen during volatile periods and narrow during calm periods. Example: Percentile-based thresholds Use percentile mode for context-aware regime detection: • High Threshold Mode: Percentile (96th) • Low Threshold Mode: Percentile (4th) • Percentile Lookback: 500 This identifies when volatility enters the top/bottom 4% of its recent distribution. ↑ Different threshold settings, where the dynamic and percentile methods show adaptive bands that widen during volatile periods, with fill intensity varying by breach magnitude. Regime detection (see next) is enabled too. 💮 Regime Background Colouring Optional background colouring indicates the current volatility regime: • High Volatility — Warm/alert background colour • Normal — No background (neutral) • Low Volatility — Cool/calm background colour Select which source (Estimator 1, Estimator 2, or Aggregation) drives the regime display. Example: Regime filtering for trade decisions Use regime background to filter trading signals from other indicators: • Regime Source: Aggregation • Background Transparency: 90 (subtle) When the background shows HIGH volatility (warm), consider tighter stops. When LOW (cool), watch for breakout setups. ↑ Regime background emphasis for breakout strategies. Note the interesting A2RMA smoothing for this case. 🌸 --------- USAGE GUIDE --------- 🌸 💮 Getting Started 1. Add the indicator to your chart 2. Estimator 1 defaults to Yang-Zhang (14) — the most comprehensive estimator for gapped markets 3. Keep "Annualise Volatility" enabled to express values in standard annualised form 4. Observe the legend table for current values and percentile ranks (P##). Hover over the table cells to see a little more info in the tooltip. 💮 Choosing an Estimator • Trending equities with gaps — Yang-Zhang. Handles both drift and overnight gaps optimally. • Crypto (24/7 trading) — Rogers-Satchell. Drift-independent without Yang-Zhang's multi-period lag. • Ranging markets — Garman-Klass or Parkinson. Simpler, no drift adjustment needed. • Price-based stops — ATR. Output in price units, directly usable for stop distances. • Regime detection — Combine any estimator with threshold modes enabled. 💮 Interpreting Output • Value (P##) — The volatility reading with percentile rank. "0.1523 (P75)" means 0.1523 annualised volatility at the 75th percentile of recent history. • Colour gradient — Warmer colours = higher percentile (elevated volatility), cooler colours = lower percentile. • Threshold fills — Intensity indicates how far beyond the threshold the current reading is. • ⚠️ HIGH / 🔻 LOW — Table indicators when thresholds are breached. 🌸 --------- ALERTS --------- 🌸 💮 Direction Change Alerts • Estimator 1/2 direction change — Triggers when volatility inflects (rising to falling or vice versa) 💮 Cross Alerts • E1 crossed E2 — Triggers when the two estimator lines cross 💮 Threshold Alerts • E1/E2/Aggr High Volatility — Triggers when volatility breaches the high threshold • E1/E2/Aggr Low Volatility — Triggers when volatility falls below the low threshold 💮 Regime Change Alerts • E1/E2/Aggr Regime Change — Triggers when the volatility regime transitions (High ↔ Normal ↔ Low) 🌸 --------- LIMITATIONS --------- 🌸 • Drift bias in Parkinson/GK — These estimators overestimate variance in trending conditions. Switch to Rogers-Satchell or Yang-Zhang for trending markets. • Yang-Zhang minimum lookback — Requires at least 2 bars (enforced internally). Cannot produce instantaneous readings like other estimators. • Flat candles — Single-tick bars produce near-zero variance readings. Use higher timeframes for illiquid assets. • Discretisation bias — Estimates degrade when ticks-per-bar is very small. Consider higher timeframes for thinly traded instruments. • Scale mixing — Different scale groups (log-return, price unit, percentage) cannot be meaningfully compared or aggregated. The indicator warns but does not prevent display. 🌸 --------- CREDITS --------- 🌸 💮 Academic Sources • Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53 (1), 61–65. DOI • Garman, M.B. & Klass, M.J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53 (1), 67–78. DOI • Rogers, L.C.G. & Satchell, S.E. (1991). Estimating Variance from High, Low and Closing Prices. Annals of Applied Probability, 1 (4), 504–512. DOI • Yang, D. & Zhang, Q. (2000). Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices. Journal of Business, 73 (3), 477–491. DOI • Wilder, J.W. (1978). New Concepts in Technical Trading Systems . Trend Research. 💮 Libraries Used • VolatilityToolkit Library — Range-based estimators, smoothing, and aggregation functions • FiltersToolkit Library — Advanced smoothing filters (Super Smoother, Ultimate Smoother, BiQuad, etc.) • ColourUtilities Library — Colour palette management and gradient calculations
Pine Script®指标
由GoemonYae提供
Shares to Stop Loss📊 Shares to Stop Loss Calculator This indicator automatically calculates the optimal number of shares to trade based on your predefined risk amount and dynamic stop loss levels. 🎯 Key Features: Automatic Position Sizing: Calculates exact number of shares for both LONG and SHORT positions based on your risk tolerance Dynamic Stop Loss Levels: Uses relative highs and lows from a customizable lookback period Visual Reference Lines: Displays horizontal lines showing your stop loss levels on the chart Real-time Updates: Position size adjusts automatically with price movement Clean Interface: Compact table showing all relevant information without cluttering your chart ⚙️ How It Works: For SHORT positions: Stop loss is placed at the relative high (highest price in the lookback period) Calculates shares needed to risk your specified dollar amount For LONG positions: Stop loss is placed at the relative low (lowest price in the lookback period) Calculates shares needed to risk your specified dollar amount 📝 Inputs: Amount for stop loss ($): Your maximum risk per trade in dollars (default: $100) Look back candles for rel. HIGH: Period to calculate the relative high for SHORT stops (default: 20) Look back candles for rel. LOW: Period to calculate the relative low for LONG stops (default: 20) Line colors: Customize the appearance of reference lines 💡 Use Case: Perfect for traders who practice proper risk management and want to maintain consistent dollar risk across different price levels and volatility conditions. Simply set your risk amount once, and the indicator does the math for you on every candle. ⚠️ Note: This indicator calculates position sizes based on technical levels. Always consider liquidity, account size, and broker requirements before entering positions.
Pine Script®指标
由atr1235提供
Multi-timeframe RSI & Stochastic dashboard with visual gradient █ OVERVIEW The MTF RSI + Stochastic Dashboard displays RSI and Stochastic values across 6 customizable timeframes in a compact, visual format. Instead of switching between charts or opening multiple indicator windows, see all your momentum data at a glance. This indicator combines two of the most popular oscillators (RSI and Stochastic) and shows you where they agree—and where they don't. █ FEATURES - 6 Customizable Timeframes — Default: 1m, 5m, 15m, 1H, 4H, Daily (fully adjustable) - Combined RSI + Stochastic Signal — Shows agreement between both indicators - Visual Gradient Meters — Left side = Stochastic, Right side = RSI - Color-Coded Status — OB (Overbought), OS (Oversold), Bull, Bear, S.Bull (Strong Bull), S.Bear (Strong Bear), Mixed - Overall Trend Bias Bar — Shows percentage of timeframes bullish vs bearish - Built-in Alerts — Trigger when all timeframes align or reach 80%+ agreement - Fully Customizable — Colors, position, scale, spacing all adjustable █ HOW TO READ IT ROW 1 - TIMEFRAME Shows which timeframe each column represents. ROW 2 - COMBINED VALUE The average of RSI and Stochastic for that timeframe. Color indicates the current state. ROW 3 - STATUS - OB = Both RSI and Stochastic overbought (>70/80) - OS = Both RSI and Stochastic oversold (<30/20) - Bull = Both indicators bullish (>50) - Bear = Both indicators bearish (<50) - S.Bull = Strong bullish (one OB, one Bull) - S.Bear = Strong bearish (one OS, one Bear) - Mixed = Indicators disagree ROW 4 - GRADIENT METERS Visual representation of RSI (right half) and Stochastic (left half) levels. - Purple/Magenta = Overbought zone - Green = Bullish zone - Yellow/Orange = Neutral zone - Red = Bearish zone - Cyan = Oversold zone BOTTOM BAR - TREND BIAS Shows overall market bias based on all 6 timeframes. - STRONG BULL = 70%+ timeframes bullish - BULL = 55%+ timeframes bullish - STRONG BEAR = 70%+ timeframes bearish - BEAR = 55%+ timeframes bearish - MIXED = No clear direction █ HOW TO USE IT CONFLUENCE TRADING Look for multiple timeframes showing the same status. When 4+ timeframes agree, the signal is stronger. DIVERGENCE SPOTTING If lower timeframes show bearish while higher timeframes show bullish, price may be pulling back in an uptrend—potential buy opportunity. OVERBOUGHT/OVERSOLD EXTREMES When multiple timeframes hit OB or OS together, watch for potential reversals. TREND CONFIRMATION Use the bias bar to confirm your directional bias before entering trades. █ SETTINGS RSI Settings - Length, Source, OB/OS levels Stochastic Settings - %K Length, %K Smoothing, %D Smoothing - Choose to display %K or %D - OB/OS/Mid/Zero levels Timeframes - 6 fully customizable slots Layout - Position offset, scale, box sizing, spacing Colors - Full control over all visual elements █ ALERTS - All Timeframes Bullish — Triggers when all 6 show bullish - All Timeframes Bearish — Triggers when all 6 show bearish - Strong Bullish Alignment — Triggers at 80%+ bullish - Strong Bearish Alignment — Triggers at 80%+ bearish █ BEST WAY TO DISPLAY THIS INDICATOR For optimal viewing, follow these steps: 1. ADD THE INDICATOR • Keep all settings at default — they're optimized for immediate use 2. SCALE YOUR CHART • Right-click on the price scale (right side of chart) • Select "Reset Price Scale" or double-click the price scale • Use your mouse scroll wheel on the price scale to zoom OUT vertically • This enlarges the indicator relative to the price action 3. POSITION ADJUSTMENT (if needed) • Vertical Offset: Increase if indicator overlaps candles • Horizontal Offset: Move left/right to your preference • Overall Scale Size: Increase for larger display (default 2.0) 4. CHART SHIFT (recommended) • Enable "Shift Chart" at the bottom-right of TradingView • This gives the indicator room on the right side of your chart PRO TIP: The indicator scales with your visible price range. Zoom out on the price scale (not the time scale) to make the dashboard larger and easier to read. █ NOTES - Non-repainting: Uses confirmed bar data for calculations - Overlay indicator: Displays directly on your price chart - Compatible with all markets and timeframes - Free to use — part of the XRayTrade indicator collection █ CREDITS Developed by XRayTrade
Pine Script®指标
由XrayTrade_com提供
VIXO - VIX OscillatorVIXO (VIX Oscillator) is a volatility oscillator built from the CBOE Volatility Index (symbol: TVC:VIX). It helps visualize volatility regime shifts by combining a smoothed VIX RSI with a normalized VIX momentum component, plus a VIX histogram that becomes more/less prominent depending on how far VIX is from its moving average. It helps you assess whether market conditions may be approaching rare but powerful squeeze phases. WHAT THIS INDICATOR PLOTS 1) VIX RSI (cyan line) - RSI is calculated on the VIX close and then smoothed (SMA) to reduce noise. - Use it to observe short-term momentum in volatility rather than price. 2) VIX Normalized Momentum (gray line) - Momentum is measured as ROC (rate of change) of the VIX close. - That ROC is normalized to a 0–100 scale using a rolling lookback window: - 50 is the midpoint of the recent momentum range (neutral within the selected window). - Values near 0/100 indicate momentum near the low/high of that lookback window. 3) VIX Value Bars (histogram) - Histogram shows the raw VIX value. - Bar visibility is dynamically adjusted (transparency changes) based on the ratio of VIX to its 21-period SMA: - When VIX is close to its MA, bars are more transparent. - When VIX deviates more from its MA (within a capped range), bars become more visible. - If VIX High is below 30, the script intentionally keeps bars fully transparent to reduce visual clutter. LEVELS (REFERENCE ONLY) The horizontal levels are visual guides to help segment oscillator zones. They are not guarantees and should not be treated as standalone trade signals: - 80: “Panic of Market” - 60: “VIX says BUY” (label only; not financial advice) - 50: “Neutral / Momentum Mid” - 40: “Get Ready” HOW TO USE - Apply VIXO to any chart. The indicator always pulls TVC:VIX data, regardless of the chart symbol. - Typical interpretation: - Rising VIX RSI and/or rising normalized momentum can indicate increasing volatility pressure. - Falling readings can indicate volatility easing. - Compare changes in VIXO with your chart’s price structure, trend filters, or risk management framework. INPUTS - RSI Length: RSI period on VIX close (smoothed afterward). - Momentum Length: ROC period on VIX close. - Momentum Normalization Lookback: window used to scale ROC into 0–100. DATA & BEHAVIOR NOTES - Data source: request.security("TVC:VIX", timeframe.period, OHLC). - The script does not use lookahead to access future data. - On realtime bars, values can update while the current bar is forming; historical bars remain fixed once closed. - Availability of TVC:VIX data depends on your TradingView data access. IMPORTANT DISCLAIMER This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. It does not predict the future, does not guarantee results, and should not be used as the sole basis for any trading decision. Always validate signals with additional analysis and use appropriate risk management.
Pine Script®指标
由emreiletrade提供