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ค้นหาในสคริปต์สำหรับ "GOLD"

Mod_Capital MA 50 & MA 200 🔥 WHY ARE MA 50 AND MA 200 SO IMPORTANT? These two moving averages are the key reference levels used by institutions, banks, and hedge funds to analyze the market. 📌 MA 50 Represents the medium-term trend Acts as an active trading zone Often holds price during pullbacks and corrections 📌 MA 200 Represents the long-term trend Shows the overall market “health” A major reference level for investors 🟢 Golden Cross & 🔴 Death Cross 🟢 Golden Cross When MA 50 crosses above MA 200 → A long-term bullish signal 🔴 Death Cross When MA 50 crosses below MA 200 → A long-term bearish signal
อินดิเคเตอร์ Pine Script®
โดย Suhrop_Trade
[ST] Flow CandlesThis indicator does not generate buy or sell signals. It translates the current market state into colors, allowing for fast and clean visual reading. The logic is simple: RSI + slope → show how the market is moving right now (flow). Relative volume → indicates how much conviction is behind that movement. LSVI (relative volatility) → defines when continuation is allowed, avoiding entries during chaotic volatility expansions. Color interpretation: Gray → neutral market / no clear asymmetry. Neon green → strong bullish trend, confirmed by volume. Strong red → strong bearish trend, confirmed by volume. Gold → continuation allowed after a spike (volatility compression + flow still active). This indicator was designed to work alongside SMC, Liquidity and FVG, acting as a flow and timing reader, not as an automatic entry system. SMC shows where. Volume shows effort. Colors show flow. Gold shows timing.
อินดิเคเตอร์ Pine Script®
โดย cfsumbach
Ichimoku With GradingDescription: This indicator is an enhanced version of the classic Ichimoku Kinko Hyo, designed to provide traders with an objective, quantitative assessment of trend strength. By breaking down the complex Ichimoku system into specific conditions, this script calculates a "Total Score" to help visualize the confluence of bullish or bearish signals. How It Works The core of this script is a 7-Point Grading System. Instead of relying on a single crossover, the script evaluates 7 distinct Ichimoku conditions simultaneously. The Grading Criteria: Tenkan > Kijun: Checks for the classic TK Cross (1 point if Bullish, -1 if Bearish). Price vs TK/KJ: Checks if the Close is above both the Tenkan and Kijun (Bullish) or below both (Bearish). Future Cloud: Analyzes the Kumo (Cloud) projected 26 bars ahead. If Senkou Span A > Senkou Span B, it is bullish. Chikou Span: The Lagging Span validation. It compares the current Close to the Highs, Lows, and Cloud levels of 26 bars ago to ensure there are no obstacles. Close > Tenkan: Checks immediate short-term momentum. Close > Current Senkou Span A: Checks if price is above the current cloud's Span A. Close > Current Senkou Span B: Checks if price is above the current cloud's Span B. Total Score & Signals: Maximum Score (+7): When all 7 conditions are met, a Green Triangle is plotted above the bar, indicating a strong trend confluence. Minimum Score (-7): When all 7 conditions are negative, a Red Triangle is plotted below the bar. Neutral/Mixed: Scores between -6 and +6 indicate a mixed trend or consolidation phase. Dashboard Features A table is displayed in the top-right corner to provide real-time data: Score Breakdown: Shows the status of every individual metric (1 or -1). Total Score: The sum of all metrics. Distance to Tenkan %: This calculates the percentage distance between the Close and the Tenkan-sen. Usage: Traders often use the Tenkan-sen as a trailing stop-loss level. This percentage helps gauge how extended the price is from the mean; a high percentage may indicate an overextended move, while a low percentage indicates a tight consolidation. How to Use Ichimoku Lines Beyond the grading system, this indicator plots the standard Ichimoku lines, which are powerful tools for price action analysis: Support & Resistance: The Tenkan-sen (Conversion Line) and Kijun-sen (Base Line) act as dynamic support and resistance levels. In a strong trend, price will often respect the Tenkan-sen. In a moderate trend, it may pull back to the Kijun-sen before continuing. The Kumo (Cloud): The edges of the current cloud (Senkou Span A and B) act as major support and resistance zones. A thick cloud represents strong S/R, while a thin cloud is easily broken. Trend Identification: Generally, if the price is above the Cloud, the trend is bullish. If below, it is bearish. If the price is inside the Cloud, the market is considered to be in a noise/ranging zone. Screenshots 1. Bitcoin Daily View: Here you can see the dashboard in action. The grading system helps filter out noise by requiring all conditions to align before generating a signal. 2. Gold (XAUUSD) Example: An example of a bearish confluence where the score hit -7, triggering a sell signal as the price broke through all Ichimoku support levels. 3. Euro (EURUSD) Mixed State: This example shows a market in transition. While some metrics are positive (Green), others are negative (Red), resulting in a score of 4. This prevents premature entries during choppy market conditions. Settings Lengths: All Ichimoku periods (Tenkan, Kijun, Senkou B, Displacement) are fully customizable in the settings menu to fit your preferred timeframe or trading style (e.g., Doubled settings for crypto). Disclaimer: This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk.
อินดิเคเตอร์ Pine Script®
โดย abgthecoder
First Opening Price of the YearOverview This indicator identifies and plots the opening price of the first trading session of the calendar year. The "Yearly Open" is a significant psychological level for traders and institutions, often serving as a major pivot point for the entire year's trend. How it Works The script utilizes Pine Script v5's persistent variables to track the year change. Detection: It compares the current bar's year (year) with the previous bar's year (year ). Storage: When a discrepancy is found (indicating a new year has started), the script captures the open price of that specific bar. Persistence: Using the var keyword, this price is stored in memory and carried forward for every subsequent bar of the year without being recalculated. Visualization: The price is plotted as a series of blue crosses (style_cross) to clearly mark the level on the chart. Chart Analysis & Examples The following examples demonstrate how this simple level dictates market structure across different assets: Historical Pivot Points (S&P 500): This chart demonstrates how the Yearly Open acts as a critical pivot. Notice in 2022 how price struggled around the open before dropping, while in 2023 and 2024, the yearly open provided a solid base for the subsequent rallies. Trend Confirmation (Bitcoin): In strong trending markets, the Yearly Open serves as a trailing support. As seen in this Bitcoin example, price maintaining its position above the blue line confirms a sustained bullish bias for the year, acting as a "floor" for the trend. Market Structure & Bias (Gold): This example highlights the "Line in the Sand" concept. The indicator clearly marks the starting point of the year, allowing traders to instantly gauge if the asset is net positive or negative year-to-date. It filters out the noise and focuses on the macro direction. How to Use Traders can use this indicator to determine the higher-timeframe bias: Bullish Bias: When the current price is trading above the blue crosses, the market is considered to be positive relative to the start of the year. Bearish Bias: When the current price is trading below the blue crosses, the market is negative relative to the start of the year. Settings This script is "plug and play" and requires no manual input adjustments. It automatically detects the timeframe and year changes based on the chart data provided. Disclaimer This tool is for informational purposes only and DOES NOT constitute financial advice. Always manage your risk appropriately.
อินดิเคเตอร์ Pine Script®
โดย abgthecoder
Silver Projection DivergenceSILVER PROJECTION DIVERGENCE Standardized Fair Value Divergence Oscillator OVERVIEW The Silver Projection Divergence oscillator is the companion indicator to the Silver Macro Projection Model. It quantifies the gap between silver's actual price and its projected fair value, displaying this divergence as a standardized z-score. This format makes it easier to identify extreme conditions and time entries/exits based on mean reversion. HOW IT WORKS The oscillator converts raw divergence (Actual Silver - Projected Silver) to a z-score by normalizing against its historical distribution: Z-Score > 0 - Silver trading ABOVE projected value (overvalued) Z-Score < 0 - Silver trading BELOW projected value (undervalued) Z-Score > 2 - Extreme condition (2 standard deviations) VISUAL ELEMENTS Main Plot Green line/histogram - Negative divergence (undervalued) Red line/histogram - Positive divergence (overvalued) Color intensity increases when divergence is expanding Reference Lines +2 sigma / -2 sigma (dashed) - Extreme zones +1 sigma / -1 sigma (dotted) - Moderate deviation Zero line - Fair value equilibrium Signal Markers Green Triangle (bottom) - Z-score crosses below -2 (STRONG BUY) Red Triangle (top) - Z-score crosses above +2 (STRONG SELL) Background Light red background - Extreme overvaluation (Z > 2) Light green background - Extreme undervaluation (Z < -2) SIGNAL INTERPRETATION Z > +2.0 - Extreme Overvaluation - STRONG SELL / Take profits Z +1.0 to +2.0 - Moderate Overvaluation - Caution / Reduce exposure Z -1.0 to +1.0 - Fair Value Range - Neutral / Hold Z -2.0 to -1.0 - Moderate Undervaluation - Accumulate / Scale in Z < -2.0 - Extreme Undervaluation - STRONG BUY signal COMPONENT TABLE The bottom-right table breaks down divergence by factor: Gold Ratio - Deviation from gold-implied fair value M2 Supply - Divergence from monetary-implied value DXY Signal - Dollar strength bullish/bearish indication Equities - Equity market positioning signal OVERALL - Combined signal with Z-score TRADING APPLICATIONS Mean Reversion Strategy Enter LONG when Z < -2 and begins rising Enter SHORT when Z > +2 and begins falling Use zero-line crossings for trend confirmation Trend Following Filter Only take long trades when Z < 0 (undervalued) Only take short trades when Z > 0 (overvalued) Divergence Confirmation Bearish: Price makes new highs while Z-score makes lower highs Bullish: Price makes new lows while Z-score makes higher lows ALERTS Extreme Undervaluation - Z crosses below -2 Extreme Overvaluation - Z crosses above +2 Divergence Turned Positive - Crossed above zero Divergence Turned Negative - Crossed below zero COMBINED USAGE For best results, use both with Silver Macro Projection Model - indicator: Main Indicator - Visual context of actual vs. projected on price chart Divergence Oscillator - Precise measurement for timing decisions The main indicator (Silver Macro Projection Model - ) shows where silver should be; this oscillator shows how extreme the mispricing is and when to act. Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย bigcitytom
Silver Macro Projection ModelSILVER MACRO PROJECTION MODEL Multi-Factor Fair Value Estimation for Silver OVERVIEW The Silver Macro Projection Model estimates silver's fair value based on its historical relationships with key macroeconomic drivers. By synthesizing data from gold, M2 money supply, the US Dollar Index, and major equity indices, this indicator projects where silver should theoretically be trading, helping traders identify potential overvaluation and undervaluation conditions. HOW IT WORKS This indicator employs three complementary projection methodologies: Correlation-Weighted Z-Score Composite (50% weight) - Calculates rolling correlations between silver and each input factor. Factors with stronger correlations receive more influence. Each factor is normalized to a z-score, combined into a composite, then converted back to silver's price scale. Gold/Silver Ratio Mean Reversion (35% weight) - The gold/silver ratio historically exhibits mean-reverting behavior. This component projects silver's implied price based on current gold prices and the historical average ratio. M2 Money Supply Relationship (15% weight) - Silver tracks monetary expansion over long time horizons. This anchors the projection to the fundamental relationship between silver and the monetary base. INPUT FACTORS Gold - Strong Positive - Precious metals move together; silver amplifies gold M2 Supply - Positive - Inflation hedge; expands with monetary base DXY - Negative - Dollar strength pressures commodity prices S&P 500 - Variable - Risk sentiment indicator Dow Jones - Variable - Industrial/economic health proxy Nasdaq 100 - Variable - Growth/risk appetite indicator Russell 2000 - Variable - Small-cap risk sentiment VISUAL ELEMENTS Silver Line (Gray) - Actual silver price Yellow Line - Model's projected fair value Green Fill - Silver trading BELOW projection (potentially undervalued) Red Fill - Silver trading ABOVE projection (potentially overvalued) INFORMATION TABLE The indicator displays a real-time panel showing: Current correlation coefficients for each factor Dynamic weight allocation based on correlation strength Z-scores for each input factor Actual vs. projected silver price Percentage divergence from fair value Signal classification (Strong Buy to Strong Sell) SETTINGS Lookback Settings Correlation Period (default: 60) - Bars used for rolling correlations Regression Period (default: 120) - Bars for z-score normalization Smoothing Period (default: 10) - EMA smoothing on projection Weight Settings Use Auto Correlation Weights - Weights adjust dynamically based on correlation strength Manual Weights - Override with custom factor weights ALERTS Silver Extremely Undervalued (Z < -2) Silver Extremely Overvalued (Z > +2) Price crossed above projection Price crossed below projection BEST PRACTICES Use on daily timeframe for most reliable signals Combine with the companion Divergence Oscillator for timing Extreme divergences (>2 sigma) historically precede mean reversion Consider macro environment as correlations shift during different regimes Longer regression periods (150-250) for investing; shorter (60-90) for trading Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Always use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย bigcitytom
Chainbey Ai - HTF Trend Matrix (Clean)Chainbey Ai – HTF Trend Matrix is a professional, higher-timeframe trend detection indicator designed to give traders a clean, reliable market bias, regardless of the chart timeframe they are trading on. This indicator automatically analyzes multiple higher timeframes (HTFs) and combines: EMA trend direction Trend strength (ADX) Market structure (trend vs range) Trend disagreement across HTFs Reversal probability estimation All results are displayed in a compact table at the bottom-right, making it perfect for scalpers, day traders, and swing traders who need fast, decision-ready information. 🧠 What This Indicator Solves ❌ No more guessing the higher-timeframe trend ❌ No more trading against the main market bias ❌ No more confusion between trend vs range ✅ Clear BULLISH / BEARISH / RANGE bias ✅ Strength score to avoid weak trends ✅ Reversal probability to manage risk 📊 How to Read the Table (User Manual) 🔹 FINAL Row Example: FINAL | BEARISH TREND | -46 Text (BEARISH / BULLISH / RANGE) → Overall market bias Number (-46) → Trend Strength Score Trend Score Guide: Score Meaning 0 to ±20 No trend / Choppy ±20 to ±40 Weak trend ±40 to ±70 Healthy trend ±70+ Very strong / extended trend 📌 Negative = Bearish 📌 Positive = Bullish 🔹 REVERSAL – Possibility (%) Example: REVERSAL | Possibility | 45% This shows the chance of trend exhaustion or reversal. Reversal % Meaning 0–30% Strong trend continuation 30–50% Normal pullback risk 50%+ High reversal probability 70%+ Dangerous to chase trades 📌 Use this to avoid late entries. 🔹 HTF Rows (60 / 240 / D) Each row shows: DIR / STRUCT Direction from EMA trend Market structure (TREND / RANGE) ADX Trend strength STRONG / MEDIUM / CHOP 📌 If multiple HTFs agree → higher confidence 📌 If HTFs conflict → reduce position size or wait 🛠 Recommended Trading Usage ✅ Best Practices Trade in the direction of FINAL trend Enter on pullbacks, not breakouts Use lower timeframes only for entries ❌ Avoid Trading against FINAL bias Chasing trades when reversal % is high Over-leveraging in CHOP conditions 🎯 Ideal For Crypto traders (Spot & Futures) Forex traders Gold / Commodity traders Scalping, Intraday & Swing trading ⚠️ Disclaimer This indicator is a decision-support tool, not financial advice. Always combine it with proper risk management, confirmations, and your trading plan.
อินดิเคเตอร์ Pine Script®
โดย msurubel1
5
Swiss Army Knife Multi-ToolMulti-Tools is a comprehensive trading indicator suite designed to streamline your chart analysis by combining six essential tools into one powerful, customizable package. Whether you're day trading futures, swing trading stocks, or scalping forex, this indicator provides the key reference points and signals you need—all without cluttering your chart. 🎯 Included Tools 1. Big Round Numbers (BRN) Automatically plots psychological price levels that institutions and retail traders alike tend to watch. These levels often act as magnets for price or create support/resistance zones. Customizable increment spacing (100, 50, 25, etc.) Half and quarter level options Adjustable number of levels displayed 2. HTF Moving Averages A complete multi-period moving average suite with trend alignment detection. 5 customizable periods (default: 9, 21, 50, 100, 200) Multiple MA types: EMA, SMA, WMA, VWMA, HMA, DEMA Visual ribbon fill option Golden/Death cross signals Real-time alignment status in dashboard 3. Stop Finder Intelligent stop loss calculation using two methodologies: ATR-Based Stops: Dynamic stops that adapt to current volatility Swing-Based Stops: Stops placed below recent swing lows (longs) or above swing highs (shorts) Customizable ATR period and multiplier 4. Target Finder Risk:Reward-based take profit levels calculated from your stop distance. Three customizable R:R targets (default: 1R, 2R, 3R) Visual plot options (circles, lines, step lines) Real-time calculations in the dashboard 5. Uni Zones (Supply/Demand) Identifies consolidation zones and potential breakout opportunities. Basing bar detection based on body-to-range ratio Breakout signals when price exits the zone Background highlighting during active basing periods 6. Money Flow Index (MFI) Volume-weighted momentum oscillator to identify potential exhaustion points. Overbought/Oversold highlighting Customizable threshold levels Background color alerts for extreme readings 📊 Information Dashboard A clean, customizable dashboard displays real-time values: MA trend alignment status Price position relative to 200 MA Nearest round number and distance Current ATR value in price and ticks Suggested stop loss and take profit levels MFI status and value Active basing zone detection
อินดิเคเตอร์ Pine Script®
โดย Making_Trades_Matter
Chainbey Ai - Swing High/Low Range📈 Chainbey Ai – Swing High / Swing Low Range Chainbey Ai – Swing High / Swing Low Range is a clean and powerful market-structure indicator designed to automatically identify key swing levels and visualize the active price range on any chart. This tool helps traders clearly see where price is reacting, consolidating, or preparing for a breakout. 🔹 What This Indicator Does ✔ Automatically detects the latest confirmed Swing High ✔ Automatically detects the latest confirmed Swing Low ✔ Draws horizontal levels for both swings ✔ Labels levels clearly as “Swing High” and “Swing Low” ✔ Highlights the range between swings using a background fill ✔ Updates dynamically as new market structure forms 🔹 Why It’s Useful Identify support & resistance without manual drawing Visualize consolidation zones instantly Spot breakout and fake-out areas faster Ideal for range trading, breakout trading, and trend confirmation Works perfectly with price action, volume, and order-flow concepts 🔹 Best Use Cases Crypto (Spot & Futures) Forex Indices Commodities (Gold, Silver, Oil) Timeframes: Works on all timeframes (especially strong on 15M, 30M, 1H) 🔹 How to Trade With It Buy bias when price holds above Swing Low inside the range Sell bias when price rejects from Swing High Breakout confirmation when price closes strongly outside the range Combine with volume, momentum, or liquidity concepts for higher accuracy 🔹 Customization Adjust Swing Length to control sensitivity Enable/disable range background fill Customize colors and transparency Extend swing levels to the right for forward guidance ⚠️ Disclaimer This indicator is a technical analysis tool, not financial advice. Always manage risk and confirm signals with your own strategy. 🔗 Built by Chainbey Ai Smart Structure • Clean Levels • Clear Ranges 🚀
อินดิเคเตอร์ Pine Script®
โดย msurubel1
DeeptestDeeptest: Quantitative Backtesting Library for Pine Script ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ OVERVIEW Deeptest is a Pine Script library that provides quantitative analysis tools for strategy backtesting. It calculates over 100 statistical metrics including risk-adjusted return ratios (Sharpe, Sortino, Calmar), drawdown analysis, Value at Risk (VaR), Conditional VaR, and performs Monte Carlo simulation and Walk-Forward Analysis. █ WHY THIS LIBRARY MATTERS Pine Script is a simple yet effective coding language for algorithmic and quantitative trading. Its accessibility enables traders to quickly prototype and test ideas directly within TradingView. However, the built-in strategy tester provides only basic metrics (net profit, win rate, drawdown), which is often insufficient for serious strategy evaluation. Due to this limitation, many traders migrate to alternative backtesting platforms that offer comprehensive analytics. These platforms require other language programming knowledge, environment setup, and significant time investment—often just to test a simple trading idea. Deeptest bridges this gap by bringing institutional-level quantitative analytics directly to Pine Script. Traders can now perform sophisticated analysis without leaving TradingView or learning complex external platforms. All calculations are derived from strategy.closedtrades.* , ensuring compatibility with any existing Pine Script strategy. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY AND USEFULNESS This library is original work that adds value to the TradingView community in the following ways: 1. Comprehensive Metric Suite: Implements 112+ statistical calculations in a single library, including advanced metrics not available in TradingView's built-in tester (p-value, Z-score, Skewness, Kurtosis, Risk of Ruin). 2. Monte Carlo Simulation: Implements trade-sequence randomization to stress-test strategy robustness by simulating 1000+ alternative equity curves. 3. Walk-Forward Analysis: Divides historical data into rolling in-sample and out-of-sample windows to detect overfitting by comparing training vs. testing performance. 4. Rolling Window Statistics: Calculates time-varying Sharpe, Sortino, and Expectancy to analyze metric consistency throughout the backtest period. 5. Interactive Table Display: Renders professional-grade tables with color-coded thresholds, tooltips explaining each metric, and period analysis cards for drawdowns/trades. 6. Benchmark Comparison: Automatically fetches S&P 500 data to calculate Alpha, Beta, and R-squared, enabling objective assessment of strategy skill vs. passive investing. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ KEY FEATURES Performance Metrics Net Profit, CAGR, Monthly Return, Expectancy Profit Factor, Payoff Ratio, Sample Size Compounding Effect Analysis Risk Metrics Sharpe Ratio, Sortino Ratio, Calmar Ratio (MAR) Martin Ratio, Ulcer Index Max Drawdown, Average Drawdown, Drawdown Duration Risk of Ruin, R-squared (equity curve linearity) Statistical Distribution Value at Risk (VaR 95%), Conditional VaR Skewness (return asymmetry) Kurtosis (tail fatness) Z-Score, p-value (statistical significance testing) Trade Analysis Win Rate, Breakeven Rate, Loss Rate Average Trade Duration, Time in Market Consecutive Win/Loss Streaks with Expected values Top/Worst Trades with R-multiple tracking Advanced Analytics Monte Carlo Simulation (1000+ iterations) Walk-Forward Analysis (rolling windows) Rolling Statistics (time-varying metrics) Out-of-Sample Testing Benchmark Comparison Alpha (excess return vs. benchmark) Beta (systematic risk correlation) Buy & Hold comparison R-squared vs. benchmark ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ QUICK START Basic Usage //@version=6 strategy("My Strategy", overlay=true) // Import the library import Fractalyst/Deeptest/1 as * // Your strategy logic fastMA = ta.sma(close, 10) slowMA = ta.sma(close, 30) if ta.crossover(fastMA, slowMA) strategy.entry("Long", strategy.long) if ta.crossunder(fastMA, slowMA) strategy.close("Long") // Run the analysis DT.runDeeptest() ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ METRIC EXPLANATIONS The Deeptest table displays 23 metrics across the main row, with 23 additional metrics in the complementary row. Each metric includes detailed tooltips accessible by hovering over the value. Main Row — Performance Metrics (Columns 0-6) Net Profit — (Final Equity - Initial Capital) / Initial Capital × 100 — >20%: Excellent, >0%: Profitable, <0%: Loss — Total return percentage over entire backtest period Payoff Ratio — Average Win / Average Loss — >1.5: Excellent, >1.0: Good, <1.0: Losses exceed wins — Average winning trade size relative to average losing trade. Breakeven win rate = 100% / (1 + Payoff) Sample Size — Count of closed trades — >=30: Statistically valid, <30: Insufficient data — Number of completed trades. Includes 95% confidence interval for win rate in tooltip Profit Factor — Gross Profit / Gross Loss — >=1.5: Excellent, >1.0: Profitable, <1.0: Losing — Ratio of total winnings to total losses. Uses absolute values unlike payoff ratio CAGR — (Final / Initial)^(365.25 / Days) - 1 — >=10%: Excellent, >0%: Positive growth — Compound Annual Growth Rate - annualized return accounting for compounding Expectancy — Sum of all returns / Trade count — >0.20%: Excellent, >0%: Positive edge — Average return per trade as percentage. Positive expectancy indicates profitable edge Monthly Return — Net Profit / (Months in test) — >0%: Profitable month average — Average monthly return. Geometric monthly also shown in tooltip Main Row — Trade Statistics (Columns 7-14) Avg Duration — Average time in position per trade — Mean holding period from entry to exit. Influenced by timeframe and trading style Max CW — Longest consecutive winning streak — Maximum consecutive wins. Expected value = ln(trades) / ln(1/winRate) Max CL — Longest consecutive losing streak — Maximum consecutive losses. Important for psychological risk tolerance Win Rate — Wins / Total Trades — Higher is better — Percentage of profitable trades. Breakeven win rate shown in tooltip BE Rate — Breakeven Trades / Total Trades — Lower is better — Percentage of trades that broke even (neither profit nor loss) Loss Rate — Losses / Total Trades — Lower is better — Percentage of unprofitable trades. Together with win rate and BE rate, sums to 100% Frequency — Trades per month — Trading activity level. Displays intelligently (e.g., "12/mo", "1.5/wk", "3/day") Exposure — Time in market / Total time × 100 — Lower = less risk — Percentage of time the strategy had open positions Main Row — Risk Metrics (Columns 15-22) Sharpe Ratio — (Return - Rf) / StdDev × sqrt(Periods) — >=3: Excellent, >=2: Good, >=1: Fair, <1: Poor — Measures risk-adjusted return using total volatility. Annualized using sqrt(252) for daily Sortino Ratio — (Return - Rf) / DownsideDev × sqrt(Periods) — >=2: Excellent, >=1: Good, <1: Needs improvement — Similar to Sharpe but only penalizes downside volatility. Can be higher than Sharpe Max DD — (Peak - Trough) / Peak × 100 — <5%: Excellent, 5-15%: Moderate, 15-30%: High, >30%: Severe — Largest peak-to-trough decline in equity. Critical for risk tolerance and position sizing RoR — Risk of Ruin probability — <1%: Excellent, 1-5%: Acceptable, 5-10%: Elevated, >10%: Dangerous — Probability of losing entire trading account based on win rate and payoff ratio R² — R-squared of equity curve vs. time — >=0.95: Excellent, 0.90-0.95: Good, 0.80-0.90: Moderate, <0.80: Erratic — Coefficient of determination measuring linearity of equity growth MAR — CAGR / |Max Drawdown| — Higher is better, negative = bad — Calmar Ratio. Reward relative to worst-case loss. Negative if max DD exceeds CAGR CVaR — Average of returns below VaR threshold — Lower absolute is better — Conditional Value at Risk (Expected Shortfall). Average loss in worst 5% of outcomes p-value — Binomial test probability — <0.05: Significant, 0.05-0.10: Marginal, >0.10: Likely random — Probability that observed results are due to chance. Low p-value means statistically significant edge Complementary Row — Extended Metrics Compounding — (Compounded Return / Total Return) × 100 — Percentage of total profit attributable to compounding (position sizing) Avg Win — Sum of wins / Win count — Average profitable trade return in percentage Avg Trade — Sum of all returns / Total trades — Same as Expectancy (Column 5). Displayed here for convenience Avg Loss — Sum of losses / Loss count — Average unprofitable trade return in percentage (negative value) Martin Ratio — CAGR / Ulcer Index — Similar to Calmar but uses Ulcer Index instead of Max DD Rolling Expectancy — Mean of rolling window expectancies — Average expectancy calculated across rolling windows. Shows consistency of edge Avg W Dur — Avg duration of winning trades — Average time from entry to exit for winning trades only Max Eq — Highest equity value reached — Peak equity achieved during backtest Min Eq — Lowest equity value reached — Trough equity point. Important for understanding worst-case absolute loss Buy & Hold — (Close_last / Close_first - 1) × 100 — >0%: Passive profit — Return of simply buying and holding the asset from backtest start to end Alpha — Strategy CAGR - Benchmark CAGR — >0: Has skill (beats benchmark) — Excess return above passive benchmark. Positive alpha indicates genuine value-added skill Beta — Covariance(Strategy, Benchmark) / Variance(Benchmark) — <1: Less volatile than market, >1: More volatile — Systematic risk correlation with benchmark Avg L Dur — Avg duration of losing trades — Average time from entry to exit for losing trades only Rolling Sharpe/Sortino — Dynamic based on win rate — >2: Good consistency — Rolling metric across sliding windows. Shows Sharpe if win rate >50%, Sortino if <=50% Curr DD — Current drawdown from peak — Lower is better — Present drawdown percentage. Zero means at new equity high DAR — CAGR adjusted for target DD — Higher is better — Drawdown-Adjusted Return. DAR^5 = CAGR if max DD = 5% Kurtosis — Fourth moment / StdDev^4 - 3 — ~0: Normal, >0: Fat tails, <0: Thin tails — Measures "tailedness" of return distribution (excess kurtosis) Skewness — Third moment / StdDev^3 — >0: Positive skew (big wins), <0: Negative skew (big losses) — Return distribution asymmetry VaR — 5th percentile of returns — Lower absolute is better — Value at Risk at 95% confidence. Maximum expected loss in worst 5% of outcomes Ulcer — sqrt(mean(drawdown^2)) — Lower is better — Ulcer Index - root mean square of drawdowns. Penalizes both depth AND duration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ MONTE CARLO SIMULATION Purpose Monte Carlo simulation tests strategy robustness by randomizing the order of trades while keeping trade returns unchanged. This simulates alternative equity curves to assess outcome variability. Method Extract all historical trade returns Randomly shuffle the sequence (1000+ iterations) Calculate cumulative equity for each shuffle Build distribution of final outcomes Output The stress test table shows: Median Outcome: 50th percentile result 5th Percentile: Worst 5% of outcomes 95th Percentile: Best 95% of outcomes Success Rate: Percentage of simulations that were profitable Interpretation If 95% of simulations are profitable: Strategy is robust If median is far from actual result: High variance/unreliability If 5th percentile shows large loss: High tail risk ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WALK-FORWARD ANALYSIS Purpose Walk-Forward Analysis (WFA) is the gold standard for detecting strategy overfitting. It simulates real-world trading by dividing historical data into rolling "training" (in-sample) and "validation" (out-of-sample) periods. A strategy that performs well on unseen data is more likely to succeed in live trading. Method The implementation uses a non-overlapping window approach following AmiBroker's gold standard methodology: Segment Calculation: Total trades divided into N windows (default: 12), IS = ~75%, OOS = ~25%, Step = OOS length Window Structure: Each window has IS (training) followed by OOS (validation). Each OOS becomes the next window's IS (rolling forward) Metrics Calculated: CAGR, Sharpe, Sortino, MaxDD, Win Rate, Expectancy, Profit Factor, Payoff Aggregation: IS metrics averaged across all IS periods, OOS metrics averaged across all OOS periods Output IS CAGR: In-sample annualized return OOS CAGR: Out-of-sample annualized return ( THE key metric ) IS/OOS Sharpe: In/out-of-sample risk-adjusted return Success Rate: % of OOS windows that were profitable Interpretation Robust: IS/OOS CAGR gap <20%, OOS Success Rate >80% Some Overfitting: CAGR gap 20-50%, Success Rate 50-80% Severe Overfitting: CAGR gap >50%, Success Rate <50% Key Principles: OOS is what matters — Only OOS predicts live performance Consistency > Magnitude — 10% IS / 9% OOS beats 30% IS / 5% OOS Window count — More windows = more reliable validation Non-overlapping OOS — Prevents data leakage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ TABLE DISPLAY Main Table — Organized into three sections: Performance Metrics (Cols 0-6): Net Profit, Payoff, Sample Size, Profit Factor, CAGR, Expectancy, Monthly Trade Statistics (Cols 7-14): Avg Duration, Max CW, Max CL, Win, BE, Loss, Frequency, Exposure Risk Metrics (Cols 15-22): Sharpe, Sortino, Max DD, RoR, R², MAR, CVaR, p-value Color Coding 🟢 Green: Excellent performance 🟠 Orange: Acceptable performance ⚪ Gray: Neutral / Fair 🔴 Red: Poor performance ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ IMPLEMENTATION NOTES Data Source: All metrics calculated from strategy.closedtrades , ensuring compatibility with any Pine Script strategy Calculation Timing: All calculations occur on barstate.islastconfirmedhistory to optimize performance Limitations: Requires at least 1 closed trade for basic metrics, 30+ trades for reliable statistical analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ QUICK NOTES ➙ This library has been developed and refined over two years of real-world strategy testing. Every calculation has been validated against industry-standard quantitative finance references. ➙ The entire codebase is thoroughly documented inline. If you are curious about how a metric is calculated or want to understand the implementation details, dive into the source code -- it is written to be read and learned from. ➙ This description focuses on usage and concepts rather than exhaustively listing every exported type and function. The library source code is thoroughly documented inline -- explore it to understand implementation details and internal logic. ➙ All calculations execute on barstate.islastconfirmedhistory to minimize runtime overhead. The library is designed for efficiency without sacrificing accuracy. ➙ Beyond analysis, this library serves as a learning resource. Study the source code to understand quantitative finance concepts, Pine Script advanced techniques, and proper statistical methodology. ➙ Metrics are their own not binary good/bad indicators. A high Sharpe ratio with low sample size is misleading. A deep drawdown during a market crash may be acceptable. Study each function and metric individually -- evaluate your strategy contextually, not by threshold alone. ➙ All strategies face alpha decay over time. Instead of over-optimizing a single strategy on one timeframe and market, build a diversified portfolio across multiple markets and timeframes. Deeptest helps you validate each component so you can combine robust strategies into a trading portfolio. ➙ Screenshots shown in the documentation are solely for visual representation to demonstrate how the tables and metrics will be displayed. Please do not compare your strategy's performance with the metrics shown in these screenshots -- they are illustrative examples only, not performance targets or benchmarks. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW-TO Using Deeptest is intentionally straightforward. Just import the library and call DT.runDeeptest() at the end of your strategy code in main scope. . //@version=6 strategy("My Strategy", overlay=true) // Import the library import Fractalyst/Deeptest/1 as DT // Your strategy logic fastMA = ta.sma(close, 10) slowMA = ta.sma(close, 30) if ta.crossover(fastMA, slowMA) strategy.entry("Long", strategy.long) if ta.crossunder(fastMA, slowMA) strategy.close("Long") // Run the analysis DT.runDeeptest() And yes... it's compatible with any TradingView Strategy! 🪄 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Author: @Fractalyst Font Library: by @fikira - @kaigouthro - @Duyck Community: Inspired by the @PineCoders community initiative, encouraging developers to contribute open-source libraries and continuously enhance the Pine Script ecosystem for all traders. if you find Deeptest valuable in your trading journey, feel free to use it in your strategies and give a shoutout to @Fractalyst -- Your recognition directly supports ongoing development and open-source contributions to Pine Script. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ DISCLAIMER This library is provided for educational and research purposes. Past performance does not guarantee future results. Always test thoroughly and use proper risk management. The author is not responsible for any trading losses incurred through the use of this code.
ไลบรารี Pine Script®
โดย Fractalyst
20
Power Hour Trendlines [LuxAlgo]The Power Hour Trendlines indicator is based on Power Hours detection, and includes up to three displayed trendlines derived from the closing prices of all the bars within the last user-selected Power Hours. Users can edit the time of Power Hours, choose how many sessions to take into account, enable or disable any trendlines, and change their colors. 🔶 USAGE The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders. This tool works under the hypothesis that prices made during power hours (periods with high trading activity) are more relevant when used for the construction of trendlines. An initial trendline is fit using linear regression; prices from power hours located above this initial fit are used for the upper trendline, while the ones below the fit are used for the lower one. As with any trendline, traders can analyze the slope to determine the market's direction: Positive slope: The market is trending up. Negative slope: The market is trending down. No slope: The market is trending sideways. As we can see in the image, Nasdaq and Bitcoin are clearly in downtrends, gold is clearly in an uptrend, and the euro/U.S. dollar is in a sideways market over the last visible sessions. As you can see, the trend lines may or may not be parallel to each other. The wider the area, the more volatile the data. The narrower the area, the less volatile the data. Let's look at an example. In the image, the Dow30 and the euro/U.S. dollar have opposite behaviors. The volatility above the middle trendline is growing in the first case but shrinking in the second. In both cases, the volatility in the bottom area seems steady, so there are no big surprises there. Traders can adjust the number of sessions for calculations, making the tool ideal for analyzing price behavior over different time frames. As the image shows, we can clearly see how the market behaves over different time periods. XLY has been moving down over the last 10, 20, and 40 sessions, with a steeper decline over shorter periods. However, it has been moving sideways over the last 70 sessions. One of the main uses of trendlines is to provide key support and resistance. In the image, SPY is shown with trendlines over the last 20 sessions. These lines provide excellent reference points for trading and observing price behavior in those areas, such as whether prices are accepted or rejected, which may trigger a response from other traders. 🔹 Not Allowed Timeframes For obvious reasons, timeframes larger than 1H are not allowed. The Power Hour is defined as the last hour of the trading session. The tool will display a warning message if the timeframe is longer than 60 minutes. 🔶 SETTINGS Power Hour (NY Time): Choose a custom Power Hour in New York time Sessions Memory: Select how many Power Hours to take into account for calculations. 🔹 Style Top: Enable or disable the top line and choose the line and background colors. Middle: Enable or disable the middle line and choose the line color. Bottom: Enable or disable the bottom line and choose the line and background colors. Background: Enable or disable the background color for top and bottom lines.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
2
Bloomberg Mega Board [v2.5 Fixed]Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto. Key Features 1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System: Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices. Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc. Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY. Crypto Page: Top 10 Cryptocurrencies by volume. Switch pages instantly via the Settings menu. 2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary: Full Bull Trend: Intraday + Daily + Weekly trends are all positive. Strong Rally: Asset is up significantly (>1.25%) on the day. Heavy Sell-off: Asset is down significantly (<-1.25%) on the day. Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry). Consolidating: Market is chopping sideways. 3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average): Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend). Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA. 4. "Terminal" Aesthetic Styled with a dark, high-contrast Bloomberg Terminal look. Uses Amber tickers and Neon status blocks for rapid visual scanning. Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard. How to Use Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard. Open Settings (the gear icon) and find "Select Page". Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities) Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table. 2 hours ago Release Notes Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto. Key Features 1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System: Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices. Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc. Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY. Crypto Page: Top 10 Cryptocurrencies by volume. Switch pages instantly via the Settings menu. 2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary: Full Bull Trend: Intraday + Daily + Weekly trends are all positive. Strong Rally: Asset is up significantly (>1.25%) on the day. Heavy Sell-off: Asset is down significantly (<-1.25%) on the day. Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry). Consolidating: Market is chopping sideways. 3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average): Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend). Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA. 4. "Terminal" Aesthetic Styled with a dark, high-contrast Bloomberg Terminal look. Uses Amber tickers and Neon status blocks for rapid visual scanning. Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard. How to Use Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard. Open Settings (the gear icon) and find "Select Page". Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities) Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table. 2 hours ago Release Notes Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto. Key Features 1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System: Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices. Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc. Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY. Crypto Page: Top 10 Cryptocurrencies by volume. Switch pages instantly via the Settings menu. 2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary: Full Bull Trend: Intraday + Daily + Weekly trends are all positive. Strong Rally: Asset is up significantly (>1.25%) on the day. Heavy Sell-off: Asset is down significantly (<-1.25%) on the day. Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry). Consolidating: Market is chopping sideways. 3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average): Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend). Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA. 4. "Terminal" Aesthetic Styled with a dark, high-contrast Bloomberg Terminal look. Uses Amber tickers and Neon status blocks for rapid visual scanning. Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard. How to Use Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard. Open Settings (the gear icon) and find "Select Page". Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities) Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table. 2 hours ago Release Notes Transform your TradingView chart into a professional-grade command center. Designed for traders who need high-level market awareness without switching tabs, this dashboard provides deep, multi-timeframe analysis across US Sectors, Commodities, Currencies, and Crypto. Key Features 1. Multi-Asset Paging System Pine Script has a limit of 40 security calls, which usually limits how much data you can see. This script bypasses that limitation using a smart Paging System: Sectors Page: Tracks the top 10 US Sectors (SPY, XLK, XLF, etc.) & Indices. Commodities Page: Gold, Silver, Oil, Gas, Copper, Corn, etc. Currencies Page: Major Forex pairs including DXY, EURUSD, USDJPY. Crypto Page: Top 10 Cryptocurrencies by volume. Switch pages instantly via the Settings menu. 2. Smart "News" Headlines Since Pine Script cannot access the live internet for news, this script uses an Algorithmic Headline Generator. It analyzes price action and trend alignment to generate a "Market Status" summary: Full Bull Trend: Intraday + Daily + Weekly trends are all positive. Strong Rally: Asset is up significantly (>1.25%) on the day. Heavy Sell-off: Asset is down significantly (<-1.25%) on the day. Pullback (Buy?): Daily trend is UP, but Intraday is DOWN (potential entry). Consolidating: Market is chopping sideways. 3. Timeframe Trend Matrix Monitor momentum across the curve with a single glance. The "Trend" columns are powered by the 5 EMA (Exponential Moving Average): Intraday: Adapts to your current chart timeframe (e.g., switch your chart to 15m to see the 15m trend). Daily / Weekly / Monthly: These are hard coded to always show the higher timeframe trend, regardless of what chart you are looking at. Trend is determined by price in relation to it's 5 EMA. 4. "Terminal" Aesthetic Styled with a dark, high-contrast Bloomberg Terminal look. Uses Amber tickers and Neon status blocks for rapid visual scanning. Optimized for Full Screen Mode: Hide your main chart candles to turn your monitor into a dedicated data dashboard. How to Use Add the indicator to your chart and move it to "New Lower Indicator" Then repeat 4 times for each dashboard. Open Settings (the gear icon) and find "Select Page". Choose your desired market view (e.g., Sectors, Crypto, Currencies, Commodities) Optional: To replicate the full dashboard look, go to your Chart Settings -> Symbol -> Uncheck "Body" and "Borders" to hide the candles behind the table.
อินดิเคเตอร์ Pine Script®
โดย CustomQuantLabs
1
Trading Sessions + IB [midst]What It Does Displays the three major global trading sessions (Asia, London, New York) with Initial Balance (IB) ranges and extension levels. Automatically detects instrument type (ES, NQ, Gold, Silver) and applies correct IB period. Key Features Session Boxes: Visual high-to-low range for each session Initial Balance: First 60 minutes of session range with IB high/mid/low lines IB Extensions: Automatic calculation of +/-25%, 50%, 100% levels Live IB Tracker: Real-time statistics table showing IB range, analysis, and market structure Fully Customizable: Colors, line styles, labels, and display options Why Use This Identify key support/resistance levels based on session structure Track IB breakouts for high-probability trade setups Use extensions as profit targets or reversal zones Compare session ranges to gauge volatility Spot session overlaps for increased liquidity Default Times (Chicago/Central Time) Asia: 5:00 PM - 2:00 AM London: 2:00 AM - 11:00 AM New York: 7:30 AM - 4:00 PM How To Use Add indicator to your chart (works best on 5-15 minute timeframes) Indicator auto-detects ES, NQ, GC, SI and applies correct 60-minute IB Watch for price action at IB levels and extensions Use IB Tracker table for real-time market analysis Customization Adjust everything: session times, IB period, colors, line styles, labels, table position. Toggle historical sessions, IB boxes, lines, extensions, and more. Supported Instruments: ES/MES, NQ/MNQ, GC/MGC (Gold), SI (Silver) - auto-detection included
อินดิเคเตอร์ Pine Script®
โดย midst
2
Mashrab | Momentum X-RayStop guessing if a stock is strong or weak. The Momentum X-Ray is a professional Heads-Up Display (HUD) that tells you the truth about a stock in seconds. Most indicators just look at price. This dashboard looks at the Context: Relative Strength (The "King of the Hill" Check): It doesn't just compare stocks to the S&P 500. It automatically detects the stock's specific industry (e.g., Semiconductors, Regional Banks, Gold Miners) and compares it against its actual peers. Green = The stock is a Leader (Beating its sector). Red = The stock is a Laggard (Losing to its sector). Fundamental Health (The "Engine" Check): Instantly see Revenue Growth (QoQ and YoY) and Net Profit Margins. Filters out "junk" stocks that are moving up on hype but have no real business growth. Volatility Scanner: Calculates the ADR (Average Daily Range) to help you size your positions correctly. How to Read the Signals: Top Table (Momentum): Look for Double Green. If a stock is beating the SPY and its Sector, it is an "Alpha Leader." Bottom Table (Context): Check the "Industry" row to see exactly which ETF the script is using for comparison (e.g., SMH for Chips, KRE for Banks).
อินดิเคเตอร์ Pine Script®
โดย highstandart9
Trade with TreandThink of this script as a filter and a signal light for trading Gold. It helps you avoid trading in the wrong direction and tells you exactly when the price momentum is shifting. The Three Main Parts The Ultimate Trend (The Filter): This is the big table in the top-right corner. Bullish (Green): Only look for BUY signals. Bearish (Red): Only look for SELL signals. It uses a "300 SMA" (a long-term average) to make sure you aren't "swimming against the tide." The Entry Signals (The Crossover): The script watches two lines on your chart (a 20-period and a 10-period). When they cross, it places a BUY or SELL label on your screen. The 4 Alerts (The Notifications): You don't have to stare at the screen all day. You get a notification for Buy entries, Sell entries, or when the Main Trend flips from Bullish to Bearish (or vice versa). Simple Rules for Trading To be successful with this script, follow these four rules: Rule 1: Check the Table. If it says "Bearish," ignore all "BUY" labels. Rule 2: Wait for the Label. Only enter a trade when a "BUY" or "SELL" label appears and it matches the trend table. Rule 3: Protect Your Money. Look at the last 5 candles. Put your Stop Loss just past the highest or lowest point of those candles. Rule 4: Aim for the Target. Your profit target should be at least double the amount of money you are risking (Risk:Reward 1:2). How to use the Settings When you click the Settings icon on the script, you can change: SMA Filter: Change the "300" if you want the trend to be faster or slower. Trend Gap: Adjust how far the trailing line stays away from the price.
อินดิเคเตอร์ Pine Script®
โดย rishabh22rathi
10
FX Master Confluence v41 (Smart TDI Filter)How to read your new Dashboard: Top Row (The Boss): This is your 8-Hour WaveTrend status. DARK GREEN: Strong Bull (Bias is Up & Above Zero). Aggressively look for buys. LIGHT GREEN: Weak Bull (Bias is Up but Below Zero). Be cautious, could be a deep pullback. DARK RED: Strong Bear (Bias is Down & Below Zero). Aggressively look for sells. LTF Rows (15m - 6h): "GOLDEN ZERO": This is the Holy Grail signal you asked for. The LTF WaveTrend just crossed the Zero line in agreement with the 8H Boss. "REV SETUP": Standard reversal signal (useful, but lower confidence than Golden). "TREND UP/DOWN": No signal right now, but tells you the flow of that specific timeframe.
อินดิเคเตอร์ Pine Script®
โดย xcelteddy
THE ELVINATORTHE ELVINATOR is my trend-following momentum indicator built on the 20 EMA, 50 EMA, and 200 EMA, designed for trading **XAUUSD during the New York session (9:30–17:00 NY time), Monday through Friday**. **How to trade it:** * **Trend filter:** Only take **longs above the 200 EMA** and **shorts below the 200 EMA**. This keeps trades aligned with Gold’s dominant direction. * **Long setups:** A **20 EMA cross above the 50 EMA** signals bullish momentum. Best entries come after a pullback into the 20–50 EMA zone followed by strong continuation candles. * **Short setups:** A **20 EMA cross below the 50 EMA** signals bearish momentum. Look for pullbacks into the EMA zone and rejection before continuation lower. * **Timing:** Focus on NY open and high-volume moves. Avoid choppy conditions and late-session exhaustion. * **Risk & exits:** Place stops beyond recent swings or EMA structure. Targets can be prior highs/lows or scaled with trend continuation. THE ELVINATOR is built for **structure, patience, and disciplined execution**, allowing traders to capitalize on Gold’s volatility without chasing noise.
อินดิเคเตอร์ Pine Script®
โดย ElvinLing
Bar Countdown ClockBar Countdown Clock Description: Displays the remaining time for the current bar on the chart. The countdown label follows the previous EMA5 price to stay stable during high-volatility markets. Font size and label position are fully customizable. Works well on BTC, Gold, Forex, and other trading instruments. How to Use: Add the indicator to your chart. Adjust Clock Color, Font Size, and X Offset to suit your preference. The label will automatically track the previous EMA5 price. The countdown updates in real-time until the current bar closes. Tips: Increase X Offset if the label overlaps the current bar. For high-volatility instruments, the label remains stable by following EMA5. EMA Length can be adjusted to change the anchor point for the label.
อินดิเคเตอร์ Pine Script®
โดย beidou_123
Ultimate Lines Statistical Backtest @MaxMaseratiUltimate lines (MAs/MACD/VWAP,DWA etc..) Statistical Backtest This is a comprehensive statistical backtesting tool that allows traders to objectively measure the performance of 27+ different trading lines across multiple timeframes and sessions. Instead of guessing which moving averages, VWAPs, or volume levels actually work for your trading style, this indicator provides hard data showing exactly how price behaves around each line at specific times of day. The indicator solves a critical problem: most lines create whipsaws in choppy markets, but knowing which lines have the highest continuation rates vs reversal rates at specific session times helps you avoid false signals and focus on setups with proven statistical edges. 🎯 LINES YOU CAN TEST MMM Core Lines: Mid MA: Trend velocity tracker using simple moving average MMPD Line: Premium/Discount change-of-direction indicator Fair Value Golden Ratio: 0.618 equilibrium level between premium and discount zones Volume-Based Lines: VWAP Daily/Weekly: Volume-weighted average price (daily and weekly sessions) Volume POC Multi-TF: Multi-timeframe Point of Control (highest volume price level) Volume POC Weekly: Weekly momentum pivot based on volume distribution Range Midpoints: Range Midpoint 50: 50-period high/low midpoint Range Midpoint 14 TF1/TF2: Configurable timeframe range midpoints with smoothing options Moving Averages (10 MA Types): MACD Fast (12) / Signal (26): Standard MACD moving averages Fast MA 20 / Mid MA 50 / Slow MA 200: Classic trend-following averages Available MA Types: SMA, EMA, WMA, HMA, DEMA, TEMA, LSMA, KAMA, ALMA, VWMA Volatility Indicators: MVM Upper/Lower Bands: Momentum-based volatility bands with adaptive option HVC Bullish/Bearish: High Volume Candle support/resistance levels Ultimate Suite Advanced Lines: DWAP (Delta Weighted Average Price): Directional volume-weighted price with upper/lower bands HVN (High Volume Node): High-frequency trading node detection Hybrid Line: Volume-weighted momentum composite Trend Filter: Two-pole smoothing filter for trend clarity STL Lines: iBuSTL / iBeSTL: Internal Bullish/Bearish Structural Trend Liquidity levels ⚙️ HOW TO TEST Select Lines: Check the boxes for lines you want to analyze (Mid MA, VWAP Daily, Volume POC, etc.) Choose Times: Enable tracking for specific session times (default: 8:30 AM, 9:30 AM, 10:00 AM, Daily Close - EST) Set Lookback: Choose how many days of historical data to analyze (default: 60 days) Enable Pattern Analysis: Turn on "Enable Pattern Analysis" in settings Wait for Data: The indicator needs 20 bars after each signal time to complete analysis Review Statistics: Check the statistics table for detailed breakdowns 📈 STATISTICS EXPLAINED For Each Tracked Time, You'll See: 🟢 Above Selected Lines (X samples): Continued↑: Price stayed above the lines = bullish continuation Reversed↓: Price broke below the lines = reversal/rejection →Kept Going↓: After reversing down, price continued lower (bars 11-20) →Stalled: After reversing down, price came back up (consolidation) Neutral: Price didn't make a clear move either way 🔴 Below Selected Lines (X samples): Continued↓: Price stayed below the lines = bearish continuation Reversed↑: Price broke above the lines = reversal/support bounce →Kept Going↑: After reversing up, price continued higher (bars 11-20) →Stalled: After reversing up, price came back down (consolidation) Neutral: No clear directional move ⭐ Star Ratings: Show which outcome happens most frequently (best probability) 🔬 HYBRID DETECTION SYSTEM (ADVANCED) When enabled, the indicator uses a multi-signal composite scoring system that goes beyond simple percentage movements: Signal A - % Movement Direction (40% weight): Measures the strength and direction of price movement. Strong directional moves (>0.8%) score higher, while opposite-direction moves score negatively. Signal B - Inside Candles (30% weight): Detects true consolidation by counting how many candles close within a defined range. High inside-candle counts indicate choppy, stalled price action rather than clean continuation. Signal C - Successive Closes (30% weight): Tracks momentum persistence by counting consecutive closes in the expected direction. Long streaks (6+ bars) indicate strong follow-through, while breaks in the sequence suggest weakness. Composite Score Classification: ⭐⭐⭐ Strong (75-100 points): All three signals align - high-confidence pattern ⭐⭐ Moderate (50-75 points): Two signals agree - reliable pattern ⭐ Weak (25-50 points): Mixed signals - lower confidence ⚠️ Strong Stalled (0-25 points): Signals show consolidation/reversal This provides nuanced pattern detection that identifies not just IF a pattern succeeded, but HOW STRONGLY it performed. 💡 INTERPRETING RESULTS Good Lines Show: High continuation % when price is above/below (>60% is strong) Clean "Kept Going" patterns after reversals (>50% indicates reliable rejection) Low stalled % (less whipsaw/consolidation) Consistent patterns across multiple times (validates the line's reliability) Poor Lines Show: 50/50 continuation vs reversal (coin flip = no edge) High stalled % (lots of whipsaw/false signals) Inconsistent patterns across different times (unreliable) Example Interpretation: 9:30 AM - VWAP Daily (120 samples) 🟢 Above: Continued↑ 75 (62.5%) ⭐ BEST Reversed↓ 30 (25.0%) Meaning: When price is above VWAP Daily at 9:30 AM, it continues higher 62.5% of the time - this is a statistically strong bullish signal for that session time. 🎯 PRACTICAL VALUE Solves the Whipsaw Problem: Most moving averages and lines work beautifully in trending markets but create endless false signals in choppy, range-bound conditions. By analyzing specific session times and continuation vs reversal patterns, you can: Identify high-probability setups: Focus on lines that show >60% continuation at your preferred trading times Avoid weak signals: Skip lines with high stall rates or 50/50 outcomes Time your entries better: Know which session times produce the cleanest patterns Combine complementary lines: Stack multiple high-scoring lines for confluence Adapt to market conditions: Switch to different lines when market structure changes Real-World Application: Instead of blindly trading VWAP crosses or MA bounces, you'll have objective data showing: "At 9:30 AM on ES, when price is above Mid MA + VWAP Daily + Volume POC, it continues higher 68% of the time with strong momentum (⭐⭐⭐)." This transforms discretionary guesswork into data-driven decision making. ⚙️ LINE DEFINITIONS Moving Averages: Smooth price data over X periods to identify trend direction and dynamic support/resistance. VWAP: Anchored average price weighted by volume - institutional traders' benchmark for "fair value." Volume POC (Point of Control): Price level with the most traded volume - represents maximum market acceptance. Fair Value Golden Ratio: Fibonacci 0.618 level between recent premium (high) and discount (low) - equilibrium zone. DWAP (Delta Weighted): Price average weighted by buying vs selling volume delta - shows directional money flow. Range Midpoints: Geometric center of recent high/low range - mean reversion pivot. Volatility Bands: Envelope around momentum lines showing normal price deviation ranges. HVN (High Volume Node): Automated detection of high-volume price clusters - institutional accumulation/distribution zones. Note: This indicator is purely for statistical analysis and backtesting. It does not generate trade signals or provide entry/exit recommendations. Use the statistics to inform your own trading decisions and strategy development.
อินดิเคเตอร์ Pine Script®
โดย MaxMaserati
BTC - DCA vs HODL Calculator MatrixBTC - DCA vs. HODL Calculator Matrix | RM Overview The BTC - DCA vs. HODL Calculator Matrix is a high-performance telemetry laboratory designed to settle the ultimate debate in Bitcoin accumulation: Is it more efficient to deploy all capital at once ( Lump Sum & HODL ) or utilize a recurring purchase strategy ( DCA )? More importantly, if DCA is the choice, which exact frequency and weekday provides the mathematical edge? The Calculator Matrix was engineered to solve a critical limitation in the current script ecosystem (at least I couldnt find such an indicator): the inability to compare multiple DCA frequencies and specific calendar days simultaneously within a single dashboard. While developing this tool, I found that existing calculators typically only permit testing one strategy at a time (e.g., a generic "Weekly" buy). This script fills that gap by utilizing a high-performance array-based "Telemetry Engine" to rank dozens of variables—including every individual weekday and specific monthly dates—against a HODL benchmark in real-time. This unique simultaneous comparison allows investors to mathematically identify "Weekday Alpha" across any user-defined timeframe. Core Philosophy The script utilizes a Normalized Capital Model . To ensure a true "apples-to-apples" comparison, your total capital (e.g., $10,000) is distributed with mathematical precision across the exact number of entries for each specific strategy. This eliminates the ROI skewing commonly found in basic scripts, ensuring that every strategy is judged on the same total dollar expenditure over the same "Race Track." Key Features & Analytics • The Podium System: An automated ranking algorithm that awards 🥇 Gold, 🥈 Silver, and 🥉 Bronze medals to the top three performing strategies. Spoiler: Regular Winner: 1-time HODL (Lump Sum) • Simultaneous Strategy Testing: Compare Daily, 7 different Weekly days (Mon-Sun), and Monthly dates (1st–28th) all at once. • Risk Telemetry: Integrated Max Drawdown (MDD) sensors for every strategy, revealing the "Emotional Cost" of your accumulation path. • Race Track Visuals: Blue dashed "Green Flag" and "Checkered Flag" lines visually define the boundaries of your backtest. • Dashboard Customization: Use the "Odd/Even" filter to keep the matrix sleek and readable on (nearly) any screen resolution. The Strategies Tested • 1-TIME HODL: The benchmark (Lump sum entry on Day 1 - meaning all the capital is deployed at the start date). • DAILY DCA: High-frequency, day-by-day accumulation (the capital is split amongst the different entries). • WEEKLY (SUN-SAT): Evaluates which specific day of the week historically captures the best entries (e.g., "Weekend Dips").(The capital is split amongst the different entries). • MONTHLY (1-28 + END): Tests monthly date performance to optimize for beginning-of-month or end-of-month cycles. (The capital is split amongst the different entries). Monte Carlo Simulation & Python Research While this tool allows you to manually check any specific timeframe, manual testing is limited by "Start Date Bias." To find the Universal Winner , I have conducted a Monte Carlo Simulation using 100 random entry dates over the last 5 years via Python/Colab. This research reveals the statistical probability of a day (like Saturday) winning the Gold medal across all market conditions. Access the Python Heatmap Research in my substack article (link for substack in Bio). How to Use 1. Set the Race Track: Input Start and End dates in the settings. 2. Fuel the Engine: Set your Total Capital ($). 3. Analyze the Matrix: Compare ROI vs. MAX DD. The goal is not just the highest return, but the best Risk-Adjusted return. Technical Implementation This script utilizes an array-based telemetry engine to handle the simultaneous calculation of 30+ independent investment strategies. To ensure computational efficiency and bypass the limitations of standard security-based backtesting, I implemented a custom-built accumulator logic using array.new_float() and array.set() . The core calculation loop ( if in_race and is_new_day ) processes capital deployment on a per-bar basis, utilizing ta.change(time("D")) to ensure entry synchronization with the Daily UTC close. By decoupling the unit accumulation ( u_weekly , u_monthly ) from the final valuation logic ( f_get_stats ), the script maintains a Normalized Capital Model. This ensures that even with complex comparative logic across varying frequencies, the script provides a mathematically rigorous, reproducible result that matches real-world execution at the Daily UTC Midnight close. Note: All calculations are made on the "close" bar, which means UTC 00:00. By creating a strategy or using the research, make sure to be aware of your time zone Disclaimer: Past performance is not indicative of future results. This tool is for educational and research purposes only. Rob Maths is not liable for any financial losses. Tags: robmaths, Rob Maths, DCA, HODL, Bitcoin, BTC, Backtest, RiskManagement, Investment, Strategy, Statistics
อินดิเคเตอร์ Pine Script®
โดย Rob_Maths
Time-Based Level & Watermark [PTN.Trades]Hello NTA Bros. Let's test my script! Hello Hello TDV said my description is too brief. I have to write something more! ## 3 Ways to Cook Crispy, Fluffy, and Delicious Omelettes Without the Grease Calling all **Egg Lovers**! Today, we’re diving into the "Omelette"—a dish that seems simple but is packed with secret techniques. Everyone has their own signature style, and today, Maggi is sharing 3 different ways to fry an omelette. Whether you’re craving that **extra crispy and fluffy** version you find at restaurants, a **healthy, low-oil** version that isn't greasy, or a **thick and soft** omelette for a full, satisfying bite—we’ve got you covered! --- ### 1. How to Fry a Crispy Omelette **Ingredients:** 1. 1 tsp Maggi Cooking Sauce 2. Cooking oil (about half a pan deep) **Instructions:** 1. Pour oil into the pan and heat until hot. Crack the eggs, season, and beat well. 2. Once the oil is boiling, pour the egg mixture through a **strainer** into the pan to create a fluffy texture. When the egg turns golden brown, flip it over. Fry until cooked through and serve. **Pro-Tips for Crispiness:** * Don't over-beat the eggs until they are too bubbly, or they will flow through the strainer too slowly. * Wait for the oil to get hot, then reduce to medium heat for about 10 seconds before testing a small amount of egg through the strainer. If it fluffs up beautifully, pour the rest through the strainer across the pan. * If using an **electric stove**, use the highest heat. Once the oil is hot, test with a little egg. If it fluffs up, pour the rest in without reducing the heat. * Pouring through a strainer creates small "strands" of egg that fluff up instantly when hitting the hot oil. --- ### 2. The Healthy Version: Low-Oil Omelette **Ingredients:** 1. 2 Eggs 2. 1 tsp Maggi Cooking Sauce 3. A small amount of oil **Instructions:** 1. Crack the eggs, season, and beat well. Heat the pan first, then add a little vegetable oil. 2. Pour the egg into the pan. Once golden brown, flip to the other side and serve. **Pro-Tips for Low-Oil:** * **Heating the pan before adding oil** prevents the egg from sticking, which is crucial since we are using very little oil. * When you pour the egg in, use the edge of your spatula to stir the center quickly. This helps the egg cook faster, makes it easier to flip, and results in a thicker, softer texture. --- ### 3. How to Make a Thick and Soft Omelette **Ingredients:** 1. 4 Eggs 2. 2 tsp Maggi Cooking Sauce 3. Cooking oil **Instructions:** 1. Crack the eggs, season, and beat well. Pour about 3 tbsp of oil into a **pot**. You don't need to wait for the oil to be extremely hot. 2. Pour the egg in and use a fork to stir the center quickly (similar to making scrambled eggs). This helps the egg set fast without spreading too much. Use medium-low heat (or medium heat for electric stoves). 3. Once the egg starts to set, tilt the pot slightly and use a spatula to flip the egg. Add a tiny bit more oil, increase the heat, and wait for a beautiful color. Flip again and use high heat briefly to "push out" any excess oil. Remove, drain the oil, and serve. **Pro-Tips for a Thick & Soft Texture:** * **Frying in a pot** forces the egg to stay thick and shapely. Choose a small pot to make the omelette look taller and fluffier. * Stirring quickly with a fork helps the egg cook and bind together faster, making it much easier to flip. * Using medium-low heat ensures the egg doesn't burn before the thick center is fully cooked. --- So, what do you think? With these 3 different methods, you can choose the style that fits your mood—whether it’s crispy, thick, or healthy. You can easily make these at home and ensure every bite is perfectly seasoned and delicious with **Maggi Cooking Sauce**. --- **Would you like me to adjust the tone to be more formal, or perhaps help you write a catchy title for social media?**
อินดิเคเตอร์ Pine Script®
โดย PatPTN
TGS By ShadTGS Levels — Tesla–W.D. Gann Strategy TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure. This indicator is not a signal generator. It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur. 🔹 Core Concept Markets do not move randomly. They rotate and expand around harmonic price cycles. TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models. 🔹 Level Hierarchy (Very Important) TGS uses four types of levels, each with a different purpose: 🔴 SUPER ANGLE (+45) Primary decision level Price often shows strong rejection or explosive breakout Highest importance level 🟥 MAIN ANGLES (+27, +63, +81) High-probability reaction zones Used for structured pullbacks, rejections, or continuation confirmation 🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90) Context & management levels Expect hesitation, partial profit zones, or stop-tightening areas Not recommended for direct entries 🟡 MICRO LEVELS (+3, +6, +9) Liquidity & compression map Help visualize absorption, stop hunts, and consolidation For structure awareness only 🔹 What This Indicator Is Used For ✔ Identifying where price is likely to react ✔ Understanding market structure and rotation ✔ Distinguishing rejection vs breakout zones ✔ Improving trade timing when combined with: Volatility (ATR) Market structure (HL / LH / BOS) Session timing (London / New York) 🔹 What This Indicator Is NOT ❌ Not a buy/sell signal ❌ Not a prediction tool ❌ Not based on indicators like RSI or MACD TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure. 🔹 Best Use Case Asset: XAUUSD (Gold) Execution Timeframe: M5 Sessions: London & New York Style: Scalping / Intraday structure trading The same logic can be adapted to other instruments by adjusting the cycle size. 🔹 How to Trade With TGS (High-Level) When volatility is low or falling → expect rejections at main/super angles When volatility is expanding → expect breakouts through angles Use oscillators (like Stochastic) only for timing, not direction Always confirm with price behavior at the level 🔹 Final Note TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart. All levels are calculated automatically and update dynamically with price. Levels explain behavior — reactions create opportunity.
อินดิเคเตอร์ Pine Script®
โดย ARAS_KURDY
2
TGS By ShadTGS Levels — Tesla–W.D. Gann Strategy TGS Levels is a price-geometry indicator designed to map algorithmic decision zones on the chart using principles inspired by W.D. Gann price geometry and Tesla 3-6-9 harmonic structure. This indicator is not a signal generator. It provides a structured price map to help traders understand where reactions or breakouts are statistically more likely to occur. 🔹 Core Concept Markets do not move randomly. They rotate and expand around harmonic price cycles. TGS Levels automatically plots a 100-unit price cycle framework (ideal for XAUUSD / Gold) and divides each cycle into hierarchical angles used by institutional and algorithmic trading models. 🔹 Level Hierarchy (Very Important) TGS uses four types of levels, each with a different purpose: 🔴 SUPER ANGLE (+45) Primary decision level Price often shows strong rejection or explosive breakout Highest importance level 🟥 MAIN ANGLES (+27, +63, +81) High-probability reaction zones Used for structured pullbacks, rejections, or continuation confirmation 🟠 SECONDARY ANGLES (+18, +36, +54, +72, +90) Context & management levels Expect hesitation, partial profit zones, or stop-tightening areas Not recommended for direct entries 🟡 MICRO LEVELS (+3, +6, +9) Liquidity & compression map Help visualize absorption, stop hunts, and consolidation For structure awareness only 🔹 What This Indicator Is Used For ✔ Identifying where price is likely to react ✔ Understanding market structure and rotation ✔ Distinguishing rejection vs breakout zones ✔ Improving trade timing when combined with: Volatility (ATR) Market structure (HL / LH / BOS) Session timing (London / New York) 🔹 What This Indicator Is NOT ❌ Not a buy/sell signal ❌ Not a prediction tool ❌ Not based on indicators like RSI or MACD TGS Levels is a price-first framework, designed to be used with price action, volatility, and structure. 🔹 Best Use Case Asset: XAUUSD (Gold) Execution Timeframe: M5 Sessions: London & New York Style: Scalping / Intraday structure trading The same logic can be adapted to other instruments by adjusting the cycle size. 🔹 How to Trade With TGS (High-Level) When volatility is low or falling → expect rejections at main/super angles When volatility is expanding → expect breakouts through angles Use oscillators (like Stochastic) only for timing, not direction Always confirm with price behavior at the level 🔹 Final Note TGS Levels provides a clean, non-repainting price map that stays aligned when zooming or scrolling the chart. All levels are calculated automatically and update dynamically with price. Levels explain behavior — reactions create opportunity.
อินดิเคเตอร์ Pine Script®
โดย ARAS_KURDY
1