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Adaptive Trend Envelope [BackQuant]Adaptive Trend Envelope Overview Adaptive Trend Envelope is a volatility-aware trend-following overlay designed to stay responsive in fast markets while remaining stable during slower conditions. It builds a dynamic trend spine from two exponential moving averages and surrounds it with an adaptive envelope whose width expands and contracts based on realized return volatility. The result is a clean, self-adjusting trend structure that reacts to market conditions instead of relying on fixed parameters. This indicator is built to answer three core questions directly on the chart: Is the market trending or neutral? If trending, in which direction is the dominant pressure? Where is the dynamic trend boundary that price should respect? Core trend spine At the heart of the indicator is a blended trend spine: A fast EMA captures short-term responsiveness. A slow EMA captures structural direction. A volatility-based blend weight dynamically shifts influence between the two. When short-term volatility is low relative to long-term volatility, the fast EMA has more influence, keeping the trend responsive. When volatility rises, the blend shifts toward the slow EMA, reducing noise and preventing overreaction. This blended output is then smoothed again to form the final trend spine, which acts as the structural backbone of the system. Volatility-adaptive envelope The envelope surrounding the trend spine is not based on ATR or fixed percentages. Instead, it is derived from: Log returns of price. An exponentially weighted variance estimate. A configurable multiplier that scales envelope width. This creates bands that automatically widen during volatile expansions and tighten during compression. The envelope therefore reflects the true statistical behavior of price rather than an arbitrary distance. Inner hysteresis band Inside the main envelope, an inner band is constructed using a hysteresis fraction. This inner zone is used to stabilize regime transitions: It prevents rapid flipping between bullish and bearish states. It allows trends to persist unless price meaningfully invalidates them. It reduces whipsaws in sideways conditions. Trend regime logic The indicator operates with three regime states: Bullish Bearish Neutral Regime changes are confirmed using a configurable number of bars outside the adaptive envelope: A bullish regime is confirmed when price closes above the upper envelope for the required number of bars. A bearish regime is confirmed when price closes below the lower envelope for the required number of bars. A trend exits back to neutral when price reverts through the trend spine. This structure ensures that trends are confirmed by sustained pressure rather than single-bar spikes. Active trend line Once a regime is active, the indicator plots a single dominant trend line: In a bullish regime, the lower envelope becomes the active trend support. In a bearish regime, the upper envelope becomes the active trend resistance. In neutral conditions, price itself is used as a placeholder. This creates a simple, actionable visual reference for trend-following decisions. Directional energy visualization The indicator uses layered fills to visualize directional pressure: Bullish energy fills appear when price holds above the active trend line. Bearish energy fills appear when price holds below the active trend line. Opacity gradients communicate strength and persistence rather than binary states. A subtle “rim” effect is added using ATR-based offsets to give depth and reinforce the active side of the trend without cluttering the chart. Signals and trend starts Discrete signals are generated only when a new trend regime begins: Buy signals appear at the first confirmed transition into a bullish regime. Sell signals appear at the first confirmed transition into a bearish regime. Signals are intentionally sparse. They are designed to mark regime shifts, not every pullback or continuation, making them suitable for higher-quality trend entries rather than frequent trading. Candle coloring Optional candle coloring reinforces regime context: Bullish regimes tint candles toward the bullish color. Bearish regimes tint candles toward the bearish color. Neutral states remain visually muted. This allows the chart to communicate trend state even when the envelope itself is partially hidden or de-emphasized. Alerts Built-in alerts are provided for key trend events: Bull trend start. Bear trend start. Transition from trend to neutral. Price crossing the trend spine. These alerts support hands-off trend monitoring across multiple instruments and timeframes. How to use it for trend following Trend identification Only trade in the direction of the active regime. Ignore counter-trend signals during confirmed trends. Entry alignment Use the first regime signal as a structural entry. Use pullbacks toward the active trend line as continuation opportunities. Trend management As long as price respects the active envelope boundary, the trend remains valid. A move back through the spine signals loss of trend structure. Market filtering Periods where the indicator remains neutral highlight non-trending environments. This helps avoid forcing trades during chop or compression. Adaptive Trend Envelope is designed to behave like a living trend structure. Instead of forcing price into static rules, it adapts to volatility, confirms direction through sustained pressure, and presents trend information in a clean, readable form that supports disciplined trend-following workflows.
Индикатор Pine Script®
от BackQuant
6
Apex ICT: Proximity & Delivery FlowThis indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
Индикатор Pine Script®
от garethsteadman47
ICT CISD+FVG+OBThis script is a high-performance ICT suite designed for traders who want a professional, "noise-free" chart. It identifies core institutional patterns—Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD)—across multiple timeframes. The script features a proprietary Proximity Cleanup Engine that automatically deletes old or broken levels, keeping your workspace focused only on price action that is currently tradeable. It strictly follows directional delivery rules for CISD and includes a 50-candle "freshness" limit to ensure you never have to manually clear old data from your past bars. Core Features Intelligent CISD: Only triggers Bullish CISD on green candles and Bearish CISD on red candles. Proximity Filter: Automatically wipes away any levels that are "miles away" from the current price. Clean Workspace: Removes broken session highs/lows and mitigated zones instantly. Full Customization: Toggle visibility and colors for every component via the settings menu.
Индикатор Pine Script®
от garethsteadman47
Q# ML Logistic Regression Indicator [Lite] Q TechLabs MLLR Lite — Machine Learning Logistic Regression Trading Indicator © Q# Tech Labs 2025 Developed by Team Q TechLabs Overview Q# MLLR Lite is an open-source, lightweight TradingView indicator implementing a logistic regression model to generate buy/sell signals based on engineered price features. This “lite” version is designed for broad community access and serves as a foundation for the upcoming Pro version with advanced features and integration. Features Logistic Regression-based buy/sell signal generation Customizable price source input (Open, High, Low, Close, HL2, HLC3, OHLC4) Adjustable signal threshold and smoothing parameters Signal confidence plotted in a separate pane Alert conditions for buy and sell signals Fully documented, clean Pine Script (v6) code for easy customization Installation Open TradingView and navigate to the Pine Script editor Create a new script and paste the full content of the Q# MLLR Lite Pine Script Save and add to chart Configure inputs as needed for your trading style Licensing Q# MLLR Lite is provided under the MIT License, promoting open use, modification, and community collaboration with attributi Q# MLLR Lite — Machine Learning Logistic Regression Trading Indicator © Q# Tech Labs 2025 — Developed by Team Q# Overview Q# MLLR Lite is an open-source, lightweight TradingView indicator implementing a logistic regression model to generate buy/sell signals based on engineered price features. This “lite” version is designed for broad community access and serves as a foundation for the upcoming Pro version with advanced features and integration. Features Logistic Regression-based buy/sell signal generation Customizable price source input (Open, High, Low, Close, HL2, HLC3, OHLC4) Adjustable signal threshold and smoothing parameters Signal confidence plotted in a separate pane Alert conditions for buy and sell signals Fully documented, clean Pine Script (v6) code for easy customization Installation Open TradingView and navigate to the Pine Script editor Create a new script and paste the full content of the Q# MLLR Lite Pine Script Save and add to chart Configure inputs as needed for your trading style Licensing Q# MLLR Lite is provided under the MIT License, promoting open use, modification, and community collaboration with attribution. Copyright (c) 2025 Q# Tech Labs Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Индикатор Pine Script®
от QTechLabsInfo
Ranking de activosThis script is a real-time performance monitor designed for TradingView, which automatically organizes a list of assets according to their percentage performance during the current trading day. Key Features: Dynamic Ranking: The script calculates the percentage change of up to 17 assets simultaneously. It constantly reorders them (with each price movement), placing the fastest-rising assets at the top and the slowest-rising assets at the bottom. Flexible Asset Management: * Allows you to choose any symbol from the TradingView database (Crypto, Indices, Gold, Forex). Includes toggles (checkboxes) to enable or disable individual assets, allowing the table to automatically resize. Minimalist Interface: Automatically removes the exchange name (e.g., from "BINANCE:BTCUSDT" it leaves only "BTC") to avoid visual clutter. Color Coding: Percentages are automatically highlighted in green if the performance is positive and in red if it is negative.
Индикатор Pine Script®
от Icy_penguin-T
[ElThibZ] - Futures Lot Size CalculatorI’m sharing a simple script to calculate position size for futures. You only need to enter: the risk in USD you’re willing to take the stop-loss distance in ticks The script will automatically calculate the correct position size (number of contracts) and display it in the table. This tool is designed to avoid sizing mistakes, especially on futures where contract multipliers and tick values can easily lead to incorrect risk calculations. I hope it will be as useful to you as it has been for me.
Индикатор Pine Script®
от ElThibZ
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.
Библиотека Pine Script®
от Fractalyst
3
FX Rate Bias US vs EU 2YFX Rate Bias – US vs EU (2Y) This indicator provides a macro bias framework for FX markets by tracking the 2-year government bond yield differential between the United States and Germany. Rather than displaying the spread as a raw calculation, the script translates interest-rate expectations into a clear directional bias, helping traders understand which currency currently holds a rate advantage. The 2Y segment of the yield curve is highly sensitive to: Central bank expectations Forward guidance Shifts in short-term monetary policy outlook How to use Positive spread → USD rate advantage Negative spread → EUR rate advantage Designed to be used as a contextual macro tool, this indicator helps align technical setups with broader monetary conditions. It is not intended as a standalone entry or signal generator.
Индикатор Pine Script®
от emiurz
MADZ - Moving Average Deviation Z-ScoreMADZ - Moving Average Deviation Z-Score MADZ is a powerful valuation oscillator that measures how far the current price has deviated from a user-selected moving average, expressed in statistical terms as a Z-Score. This normalization makes it easier to identify overvalued and undervalued conditions across different assets, timeframes, and market environments. Overview The indicator works by: Calculating the percentage deviation of price from a customizable moving average (SMA, EMA, WMA, VWMA, HMA, or RMA). Applying a Z-Score transformation to this deviation over a chosen lookback period — showing how many standard deviations the current deviation is from its historical average. Smoothing the result for a clean, responsive oscillator centered around zero. Positive values indicate price is trading above the moving average (potentially overvalued), while negative values suggest price is below (potentially undervalued). The further from zero, the greater the relative valuation extreme. Key Features Customizable base moving average (type and length) Z-Score normalization for statistically meaningful readings Final smoothing for reduced noise Static overbought/oversold levels (default ±1.5) — line changes color when crossed (red above, green below) Dynamic extreme bands (±3σ) — optional display of bands calculated from the oscillator’s own volatility over a user-defined period Extreme zone highlighting — background shading activates only during truly rare valuation events Extreme Zone Highlighting Explained The highlighted extreme zones (background shading) are not based on the fixed static levels. Instead, they signal statistically significant outliers using dynamic bands: Overbought extreme zone (red background): Triggered when MADZ rises above the upper dynamic band (+3 standard deviations of the MADZ line itself over the dynamic length period). Oversold extreme zone (green background): Triggered when MADZ falls below the lower dynamic band (-3 standard deviations). These ±3σ bands adapt to the recent behavior of the oscillator. Because they represent three standard deviations from the mean of MADZ, crossings are rare and often precede major reversals or trend accelerations — making them valuable for spotting potential turning points in valuation extremes. How to Use Use zero-line crosses for trend changes or mean-reversion setups. Watch static level crossings (±1.5 default) for early overbought/oversold warnings. Pay special attention to extreme zone shading — these highlight high-conviction valuation dislocations that may offer superior risk/reward opportunities. Designed on the BTC chart, but can be used on other assets. Settings Moving Average Settings: Type, length, source Z-Score & Smoothing: Lookback period and smoothing length Threshold Levels: Static overbought/oversold thresholds Display Options: Toggle dynamic bands and extreme background highlighting This is an educational tool designed to aid in valuation analysis. The information provided is not financial advice. Always conduct your own research and consider multiple factors before making trading decisions. Trade at your own risk.
Индикатор Pine Script®
от MiesOnCharts
FIBOtomgoodcar v1Fibonacci Levels, Code Names, Usage Strategies, Colors 78.6% (fib_786_buy) 💰 Buy Trap (78.6%) A very important entry point (Buy Trap). Considered the deepest level of the consolidation before the uptrend continues. Blue 61.8% (fib_618_buy) 💰 Buy Trap (61.8%) The most common entry point (Buy Trap). When the price consolidates in an uptrend: Green 50.0% 50.00% Mid-trend consolidation level. Yellow 127.2% (fib_1272_sell) 🎯 127.2% target (sell trap) Profit target (Target/Sell Trap) for uptrend trading after the price breaks through the previous High. Orange 161.8% (fib_1618_sell) 🎯 161.8% target (sell trap) Profit target (Target/Sell Trap) The most important and popular for Fibonacci extensions. Red I created this indicator to help traders who know nothing about trading. It might be worthless if you don't use it. Only 200 baht for this amazing indicator.
Индикатор Pine Script®
от tomgoodcarkhonsan
Institutional Intermarket Score PRO V3.3 (Presets)This indicator is built on an unusual, non-traditional intermarket concept and is designed to provide market context rather than trading signals. Institutional Intermarket Score – Indicator Description Overview The Institutional Intermarket Score is a contextual market indicator designed to provide a macro and intermarket perspective on the current market environment. It aggregates information from multiple user-selected correlated and inversely correlated assets to determine whether the broader market context favors risk-on, risk-off, or neutral conditions. This indicator is not a buy or sell signal. It does not attempt to predict short-term price movements, entries, or exits. Its sole purpose is to help the trader understand the broader market context before making any trading decisions. Core Concept Markets do not move in isolation. Institutional participants continuously monitor multiple related markets to assess risk, liquidity, and conviction before deploying capital. This indicator replicates that process by: Monitoring several correlated assets (assets that tend to move in the same direction) Monitoring several inversely correlated assets (assets that typically move in the opposite direction) Combining their behavior into a single, normalized intermarket score The result is a context filter, not a trading system. Asset Groups The indicator supports up to: 5 correlated assets 5 inversely correlated assets All assets are fully configurable by the user and can be enabled or disabled individually. Only active assets are included in all calculations. Market State Evaluation Each asset is evaluated using a Price vs VWAP relationship: Price above VWAP → bullish state Price below VWAP → bearish state This binary state is used consistently across all assets to maintain clarity and robustness. Intermarket Score ---------------------- The Intermarket Score represents the average directional alignment of all active assets and is normalized between -1 and +1. Positive values indicate a risk-on environment Negative values indicate a risk-off environment Values near zero indicate balance, rotation, or uncertainty The score is smoothed to reduce noise and highlight regime persistence rather than short-term fluctuations. Confirmation Metric (X / Y) ---------------------------------- In addition to the score, the indicator calculates a confirmation ratio: Y = total number of active assets X = number of assets aligned with the current regime Alignment is evaluated relative to the current regime: In bullish regimes, assets above VWAP confirm In bearish regimes, assets below VWAP confirm This metric reflects the quality and conviction of the intermarket consensus. High confirmation indicates broad agreement across markets. Low confirmation indicates divergence, uncertainty, or fragile conditions. Heatmap ----------- A compact heatmap visually displays the state of each individual asset: Green indicates alignment with the regime Red indicates opposition Neutral indicates inactive assets This allows immediate identification of: Which markets are confirming Which markets are diverging Whether consensus is broad or fragmented Intended Use ---------------- This indicator is designed to be used: Before evaluating trade setups As a filter, not a trigger In combination with price action, structure, and risk management Typical applications include: Avoiding trades against the broader market context Distinguishing strong trends from fragile moves Identifying periods of institutional alignment or hesitation What This Indicator Is Not It is not a buy or sell indicator It does not provide entry or exit signals It does not predict price direction on its own It does not guarantee profitable trades Any trading decisions remain entirely the responsibility of the user. Summary The Institutional Intermarket Score provides a high-level market image based on assets selected by the user. It reflects context, alignment, and conviction, not timing. Used correctly, it helps traders avoid low-quality trades, understand when markets are aligned or fragmented, and make decisions with greater awareness of the broader environment. It is a decision support tool, not a trading system. This indicator, is still evolving and its structure will continue to develop as new insights are tested...
Индикатор Pine Script®
от ueuito
NY Opening Range [LuckyAlgo] This custom ORM (Opening Range Move) indicator is designed as a tool for traders who focus not just on where a range is, but on the magnitude of the expansion following the initial morning volatility. Here is a summary of the indicator and how it differentiates itself from standard Opening Range Breakout (ORB) tools. Indicator Summary The script captures the high and low of the market during the first 30 minutes of the NY session (09:30–10:00 AM EST). Once this range is set, it tracks the "Expansion Move" - the point distance from the range's boundary to the current session's high or low. It visualizes this through color-coded zones, dynamic labels at the session extremes, and a statistical table that benchmarks today's volatility against the recent past. What specific questions does this indicator answer? While most indicators tell you "the range is broken," this indicator answers quantitative questions vital for trade management: 1. "How far has the market stretched relative to the breakout?" The indicator provides the exact point distance (+/-) from the range high/low. This helps you determine if the move is just beginning or if it has already extended significantly. 2. "Is the current move 'normal' or an outlier?" By using the Stats Table, you can see if the current 40-point move on NQ is typical or if the average move over the last 10 days is actually 80 points. This prevents you from "fading" a move that still has average room to grow, or taking a "pro-trend" trade when the market is already exhausted. 3. "Where is the session extreme located?" The inclusion of the dashed High of Day (HOD) and Low of Day (LOD) lines with attached labels tells you exactly where the "Move" calculation is peaking. If the HOD line hasn't moved for two hours, you know the bullish expansion has stalled. 4. "When is the data no longer relevant?" Because of the 17:00 EST reset logic, the indicator answers the "end of day" question for futures traders. It stops measuring at the settlement/close of the electronic session, ensuring your charts are clean for the overnight (Globex) session or ready for the next morning. Technical Advantage Most scripts use a single "point in time" to reset. This script uses a Trading Window logic, which is much more robust. If a bar is missing at exactly 17:00 due to low volume or a data glitch, the indicator won't "break" or keep drawing old lines - it understands the entire window of time it is allowed to exist in. Credit to @LuxAlgo for his initial Opening Range Breakout indicator used as a base to develop this version.
Индикатор Pine Script®
от LuckyAlgo
RAPF Plus - Forecast Cones - Payoff Greeks - Calibration HarnessRAPF+ Manual (v2.2 — “variable ↔ chart label” clarified) RAPF+ — Forecast Cones + Payoff Greeks + Calibration Harness ────────────────────────────────────────────────────────────────────────────── 0) What this indicator is ────────────────────────────────────────────────────────────────────────────── RAPF+ is a forecast-and-score system: it predicts a future price range, then later checks whether that prediction was accurate — and only generates signals whenthe conditions are trustworthy. Core idea (the “lightbulb moment”): You’re not trading a static band. You’re trading “today’s range that was predicted h bars ago.” ────────────────────────────────────────────────────────────────────────────── 1) Mental Model (Non-Quant Friendly) ────────────────────────────────────────────────────────────────────────────── Weather Forecast Analogy - Bollinger Bands are like looking out the window to see if it’s raining now. - RAPF+ is like checking the forecast made 3 days ago for today, then grading it. Interpretation: - If the forecast said “normal range” and the price stays inside the cone: → forecast held → “hold/trend environment” - If price breaks outside the cone: → forecast failed → “breakout shock” or “overextension” (depends on mode) Why this matters: RAPF+ is about whether the *old forecast* was correct, not just where the price is now. ────────────────────────────────────────────────────────────────────────────── 2) What You See on the Chart (and what the internal variables are called) ────────────────────────────────────────────────────────────────────────────── Important: Variable names like aUp/aDn/aMid are INTERNAL to the code. On the chart and in the Data Window, you’ll see them by their PLOT NAMES. How to read exact values: - Hover a candle → open TradingView “Data Window” → find this indicator → read plot values. - Or hover the plotted line to see its value. - Or enable “Indicators Values” on the right scale to see last values. A) Forecast Cones (future projections) These are projected to the right of current candles (offset by H1/H2/H3). Code variables (forecast for each horizon): - mid1 / up1 / dn1 = forecast median/upper/lower at Horizon H1 (projected right) - mid2 / up2 / dn2 = forecast median/upper/lower at Horizon H2 (projected right) - mid3 / up3 / dn3 = forecast median/upper/lower at Horizon H3 (projected right) Chart plot names (what users will see): - “P50 H1”, “Upper H1”, “Lower H1” - “P50 H2”, “Upper H2”, “Lower H2” - “P50 H3”, “Upper H3”, “Lower H3” Use forecast cones for planning (expectations, targets), NOT direct signal triggers. B) Density Fan (optional) Layered confidence bands (50–95%) for a selected horizon. Code variables: - upDen50/dnDen50 … upDen95/dnDen95 (selected density horizon) Chart plot names: - “Den Up 50”, “Den Dn 50”, … “Den Up 95”, “Den Dn 95” (usually hidden; fills visible) C) Applied Cone (the tradeable one) This is the cone that actively interacts with the CURRENT candle. The Applied Cone is a “prediction made h bars ago, applied to today.” It uses “old” cone values (shifted buffers) and then selects one horizon. Internal variables (used by signals): - aMid = applied median line for the selected Signal Horizon (H1/H2/H3) - aUp = applied upper bound for the selected Signal Horizon - aDn = applied lower bound for the selected Signal Horizon Chart plot names (what users will see): - aMid → “Applied Mid” - aUp → “Applied Up” - aDn → “Applied Dn” Trading cue: - Signals are generated by price crossing the Applied Cone (aUp/aDn), meaning price broke outside the range that was predicted h bars ago for today. Visual cue (important): - Applied Cone = the one interacting with current candles (now). - Forecast Cones = projected to the right into the future. ────────────────────────────────────────────────────────────────────────────── 3) The Stats Table (How to Trust It) ────────────────────────────────────────────────────────────────────────────── The table grades the model across H1/H2/H3: Coverage (most important) - “How often did realized price land inside the predicted cone?” - Target ≈ conf (e.g., 80%) Interpretation: - Coverage below target: cones too tight OR regime changed - Coverage above target: cones conservative (wider than needed) Dir Acc (Direction Accuracy) - “How often was the direction of the forecast correct?” - Compares sign(forecast mid - old spot) vs sign(realized move) MAE (Mean Absolute Error) - Average miss from the predicted midline (lower is better) Avg Width - Average cone width (how “expensive” the forecast is in range terms) Warm-up note (important) - Stats use warmupBars (default 50) to avoid early-history spikes. - If you see dashes/empty values on load, wait for more bars to load/scroll back. Horizon selection tip Pick the horizon that best balances: - Coverage near/above target - Dir Acc acceptable - MAE low - Width reasonable ────────────────────────────────────────────────────────────────────────────── 4) The Risk Gate (When Signals Matter) ────────────────────────────────────────────────────────────────────────────── RAPF+ has an explicit “stand down” filter. Signals are considered valid only when okRisk = YES, based on: - Trust ≥ Min Trust - RegimeRisk ≤ Max RegimeRisk - Coverage(selected horizon) ≥ Min Coverage - Enough bars have elapsed for that horizon HUD labels (what users see) vs code variables: - “RegimeRisk” in HUD = regimeRisk in code - “Trust” in HUD = trustTrend in code - “μ(bar)” in HUD = muBar in code - “σ(bar)” in HUD = sigmaBar in code - “okRisk YES/no” = okRisk boolean in code If okRisk = NO: DEFAULT ACTION = HOLD / reduce risk / stay flat This is “no signal.” It is a “low-quality environment.” What RegimeRisk/Trust mean (simple) - RegimeRisk rises when volatility is high and/or unstable. - Trust = 1 − RegimeRisk - Drift (μ) is damped when Trust is low. ────────────────────────────────────────────────────────────────────────────── 5) Buy / Sell / Hold Playbooks ────────────────────────────────────────────────────────────────────────────── All rules below assume okRisk = YES. A) Breakout Mode (continuation/trend) Signal logic: - BUY/LONG when price crosses above Applied Upper: • internal: close crosses above aUp • chart: close crosses above “Applied Up” - SELL/SHORT when price crosses below Applied Lower: • internal: close crosses below aDn • chart: close crosses below “Applied Dn” Drift direction filter (recommended ON): - Longs require μ > 0 (muBar > 0) - Shorts require μ < 0 (muBar < 0) Management / Hold: - Long bias while price is above aMid (“Applied Mid”) - Short bias while price is below aMid (“Applied Mid”) Exit ideas (choose your style): - Conservative: exit if price re-enters inside the cone (failed breakout) - Balanced: exit on cross back through aMid - Hard stop: exit on cross opposite band Best conditions for Breakout: - Coverage at/above target - Dir Acc decent - Trust healthy (RegimeRisk contained) B) Fade Mode (mean reversion/overextension) Signal logic (opposite philosophy): - SHORT when price breaks above aUp (“Applied Up”) - LONG when price breaks below aDn (“Applied Dn”) Profit logic: - aMid (“Applied Mid”) is the “magnet” / mean reversion target - Many traders scale out toward aMid Re-entry circles (what they mean): - When the price was outside, then it crossed back INSIDE the Applied Cone. - In code: reenterFromAbove / reenterFromBelow - On the chart: small yellow circles near the candle Use as confirmation that the “shock” is fading and/or as take-profit prompts. Best conditions for Fade: - Dir Acc mediocre/low (choppy drift) - Coverage struggling vs target (more violations) - RegimeRisk higher (but still within your maxRisk gate) C) Auto (Cal Error) Mode (adaptive behavior) If Signal Mode = Auto (Cal Error): - If realized coverage ≥ target → uses Breakout - If realized coverage < target → uses Fade Plain English: “If my cones are behaving well, ride continuation. If they’re failing, mean-revert the brakes.” ────────────────────────────────────────────────────────────────────────────── 6) What HOLD Means (3 distinct cases) ────────────────────────────────────────────────────────────────────────────── Hold Type 1: No-trade hold (risk gate fails) - If Trust too low OR RegimeRisk too high OR Coverage too low: → HOLD / reduce risk / stand down Hold Type 2: Inside-cone hold (normal noise) - Inside the Applied Cone is often “business as usual.” - Breakout traders: wait, avoid impulsive adds - Fade traders: take profit / don’t overstay Hold Type 3: Midline bias hold - aMid (“Applied Mid”) acts like “forecast fair value” - Above aMid: bullish bias - Below aMid: bearish bias - Frequent flips around aMid: chop → prefer Fade or no-trade ────────────────────────────────────────────────────────────────────────────── 7) Setup Checklist (Practical Defaults) ────────────────────────────────────────────────────────────────────────────── Step 0 — Select Your Timeframe (avoid noise first) - Daily (1D): Recommended for most crypto assets. Best balance of signal stability + trend capture. - Weekly (1W): Use for macro trend bias (Drift check). Great for direction context, but signals are slower/fewer. - Intraday (1H/4H): Advanced users only. Noisier; typically requires: • Higher confidence (e.g., 0.90+) • Stricter risk gates (higher Min Trust, higher Min Coverage, lower Max RegimeRisk) • Patience with calibration stability Step 1 — Pick Signal Horizon - H1: quick swing - H2: typical swing - H3: position-style Step 2 — Calibrate Coverage (don’t guess) - Coverage below target → increase Cone Width Multiplier - Coverage above target → decrease Cone Width Multiplier - Optional: enable Auto-calibrate Cone Width (servo toward conf + margin) Important: Use Cone Width Multiplier for coverage tuning (that’s what it’s for). Avoid “fixing” coverage by changing cycle settings. Step 3 — Set risk gates (reasonable baseline) - Min Trust ≈ 0.45 - Max RegimeRisk ≈ 0.70 - Min Coverage ≈ 0.55+ (raise for fewer, higher-quality trades) Step 4 — Keep Drift Filter ON (recommended) Prevents trading against μ (drift direction). ────────────────────────────────────────────────────────────────────────────── 8) Optional: Payoff + Greeks (Advanced Layer) ────────────────────────────────────────────────────────────────────────────── (Note: The Greeks engine is disabled by default to save performance. You must enable it in indicator settings to see these metrics.) If enabled, RAPF+ estimates the expected payoff for Straddle/Call/Put under the model distribution (with optional fat-tail mixture) plus Δ / Γ / ν / Θ. Use cases: - Assess convexity vs mean reversion preference - Spot/vol sensitivity awareness - Horizon comparisons for “optionality-like” behavior If you’re a spot-only trader, you can ignore this section. ────────────────────────────────────────────────────────────────────────────── 9) One-Page Rules Card ────────────────────────────────────────────────────────────────────────────── PRE-CHECK - Choose timeframe (prefer 1D for most crypto) - Choose signal horizon (H1/H2/H3) - Prefer horizon with good Coverage and acceptable Dir Acc - Trade only if okRisk = YES BREAKOUT MODE - Buy on cross above “Applied Up” (aUp) (μ>0 if drift filter ON) - Sell/short on cross below “Applied Dn” (aDn) (μ<0 if drift filter ON) - Hold while aligned with “Applied Mid” (aMid) - Exit on re-entry / aMid cross / opposite band (your style) FADE MODE - Short on break above “Applied Up” (aUp) - Long on break below “Applied Dn” (aDn) - Target “Applied Mid” (aMid) as the mean reversion magnet - Re-entry circles confirm the “shock fade” STAND DOWN - If okRisk = NO → HOLD / reduce risk / no-trade ────────────────────────────────────────────────────────────────────────────── Quick Glossary ────────────────────────────────────────────────────────────────────────────── H1/H2/H3: Forecast horizons in bars conf: Desired coverage probability (e.g., 0.80) Coverage: % of times realized price stayed inside the cone Dir Acc: % of times direction was correct MAE: Avg error vs forecast midline Width: Avg cone width (upper-lower)/spot RegimeRisk: Combined “vol high/unstable” score Trust: 1 − RegimeRisk (how much to trust drift) μ(bar): Estimated per-bar drift (directional bias) σ(bar): Estimated per-bar volatility Applied Cone (present, tradeable): - aMid / aUp / aDn are internal variables - On the chart/Data Window, they appear as: aMid = “Applied Mid” aUp = “Applied Up” aDn = “Applied Dn” Forecast Cones (future projections): - mid1/up1/dn1 (H1), mid2/up2/dn2 (H2), mid3/up3/dn3 (H3) - On the chart, they appear as: “P50 H1/Upper H1/Lower H1”, etc.
Индикатор Pine Script®
от actemplet
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.
Индикатор Pine Script®
от CustomQuantLabs
1
QuantLabs Mega Multi-Asset DashboardTransform 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.
Индикатор Pine Script®
от CustomQuantLabs