Products
Community
Markets
Brokers
More

Indicators and strategies
Commodities

Commodities

Silver Projection Divergence SILVER 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.

Pine Script® indicator

Silver Macro Projection Model SILVER 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.

Pine Script® indicator

Seasonal Strategies V1 Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset. The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input. Key Features Asset-specific seasonal windows (MMDD-based) Automatic long and short activation Fully time-based entries and exits One position at a time (no pyramiding) Clean chart visualization using subtle background shading No indicators, no filters, no curve fitting Philosophy: This strategy is designed as a structural trading tool, not a forecasting model. It focuses on when a market historically shows seasonal tendencies — not why or how far price might move. Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions. Intended Use: Futures and commodity markets Seasonality research and testing Systematic, calendar-driven strategies Educational and analytical purposes Disclaimer This script is provided for educational and research purposes only. Past seasonal tendencies do not guarantee future performance. Risk management, position sizing, and portfolio decisions are the responsibility of the user.

Pine Script® strategy

Global Macro Scanner & Relative Performance Description: This indicator is an all-in-one Macro Dashboard that allows traders to track money flow across major global asset classes in real-time. It combines a floating data table with a normalized percentage-performance chart. Features: Macro Dashboard (Table): Displays the current value, daily % change, and status (Inflow/Outflow) for 9 key economic sectors: US M2 Supply: Tracks monetary inflation/tightening. DXY (US Dollar): Currency strength. Bonds (AGG): US Aggregate Bond market. Stocks (VT): Total World Stock Index. Real Estate (VNQ): Vanguard Real Estate ETF. Commodities: Oil (WTI), Gold, and Silver. Crypto: Total Crypto Market Cap. Relative Performance Chart (Lines): Instead of plotting raw prices (which have vastly different scales), this script plots the Percentage Return relative to a baseline. Lookback Period: You can set a lookback (default 100 bars). The script sets the price 100 bars ago as "0%" and plots how much each asset has gained or lost since then. Comparison: This allows you to visually see which assets are outperforming or underperforming relative to each other over the same time period. Visual Aids: Dynamic Labels: Each line is tagged with a label at the current candle so you can identify assets without needing a legend. Colors: Each asset has a distinct, fixed color for consistency between the table and the chart. How to use: Add the script to your chart. Adjust the "Lookback" setting in the inputs to change the starting point of the comparison (e.g., set it to the start of the year to see Year-to-Date performance). Use the dashboard to spot daily money flow rotation (e.g., Money moving out of Stocks and into Gold).

Pine Script® indicator

LuxyEnergyIndex The Luxy Energy Index (LEI) library provides functions to measure price movement exhaustion by analyzing three dimensions: Extension (distance from fair value), Velocity (speed of movement), and Volume (confirmation level). LEI answers a different question than traditional momentum indicators: instead of "how far has price gone?" (like RSI), LEI asks "how tired is this move?" This library allows Pine Script developers to integrate LEI calculations into their own indicators and strategies. How to Import //@version=6 indicator("My Indicator") import OrenLuxy/LuxyEnergyIndex/1 as LEI Main Functions `lei(src)` → float Returns the LEI value on a 0-100 scale. src (optional): Price source, default is `close` Returns : LEI value (0-100) or `na` if insufficient data (first 50 bars) leiValue = LEI.lei() leiValue = LEI.lei(hlc3) // custom source `leiDetailed(src)` → tuple Returns LEI with all component values for detailed analysis. = LEI.leiDetailed() Returns: `lei` - Final LEI value (0-100) `extension` - Distance from VWAP in ATR units `velocity` - 5-bar price change in ATR units `volumeZ` - Volume Z-Score `volumeModifier` - Applied modifier (1.0 = neutral) `vwap` - VWAP value used Component Functions | Function | Description | Returns | |-----------------------------------|---------------------------------|---------------| | `calcExtension(src, vwap)` | Distance from VWAP / ATR | float | | `calcVelocity(src)` | 5-bar price change / ATR | float | | `calcVolumeZ()` | Volume Z-Score | float | | `calcVolumeModifier(volZ)` | Volume modifier | float (≥1.0) | | `getVWAP()` | Auto-detects asset type | float | Signal Functions | Function | Description | Returns | |---------------------------------------------|----------------------------------|-----------| | `isExhausted(lei, threshold)` | LEI ≥ threshold (default 70) | bool | | `isSafe(lei, threshold)` | LEI ≤ threshold (default 30) | bool | | `crossedExhaustion(lei, threshold)` | Crossed into exhaustion | bool | | `crossedSafe(lei, threshold)` | Crossed into safe zone | bool | Utility Functions | Function | Description | Returns | |----------------------------|-------------------------|-----------| | `getZone(lei)` | Zone name | string | | `getColor(lei)` | Recommended color | color | | `hasEnoughHistory()` | Data check | bool | | `minBarsRequired()` | Required bars | int (50) | | `version()` | Library version | string | Interpretation Guide | LEI Range | Zone | Meaning | |-------------|--------------|--------------------------------------------------| | 0-30 | Safe | Low exhaustion, move may continue | | 30-50 | Caution | Moderate exhaustion | | 50-70 | Warning | Elevated exhaustion | | 70-100 | Exhaustion | High exhaustion, increased reversal risk | Example: Basic Usage //@version=6 indicator("LEI Example", overlay=false) import OrenLuxy/LuxyEnergyIndex/1 as LEI // Get LEI value leiValue = LEI.lei() // Plot with dynamic color plot(leiValue, "LEI", LEI.getColor(leiValue), 2) // Reference lines hline(70, "High", color.red) hline(30, "Low", color.green) // Alert on exhaustion if LEI.crossedExhaustion(leiValue) and barstate.isconfirmed alert("LEI crossed into exhaustion zone") Technical Details Fixed Parameters (by design): Velocity Period: 5 bars Volume Period: 20 bars Z-Score Period: 50 bars ATR Period: 14 Extension/Velocity Weights: 50/50 Asset Support: Stocks/Forex: Uses Session VWAP (daily reset) Crypto: Uses Rolling VWAP (50-bar window) - auto-detected Edge Cases: Returns `na` until 50 bars of history Zero volume: Volume modifier defaults to 1.0 (neutral) Credits and Acknowledgments This library builds upon established technical analysis concepts: VWAP - Industry standard volume-weighted price measure ATR by J. Welles Wilder Jr. (1978) - Volatility normalization Z-Score - Statistical normalization method Volume analysis principles from Volume Spread Analysis (VSA) methodology Disclaimer This library is provided for **educational and informational purposes only**. It does not constitute financial advice. Past performance does not guarantee future results. The exhaustion readings are probabilistic indicators, not guarantees of price reversal. Always conduct your own research and use proper risk management when trading.

Pine Script® library

MACD Forecast Colorful [DiFlip]MACD Forecast Colorful The Future of Predictive MACD — is one of the most advanced and customizable MACD indicators ever published on TradingView. Built on the classic MACD foundation, this upgraded version integrates statistical forecasting through linear regression to anticipate future movements — not just react to the past. With a total of 22 fully configurable long and short entry conditions, visual enhancements, and full automation support, this indicator is designed for serious traders seeking an analytical edge. ⯁ Real-Time MACD Forecasting For the first time, a public MACD script combines the classic structure of MACD with predictive analytics powered by linear regression. Instead of simply responding to current values, this tool projects the MACD line, signal line, and histogram n bars into the future, allowing you to trade with foresight rather than hindsight. ⯁ Fully Customizable This indicator is built for flexibility. It includes 22 entry conditions, all of which are fully configurable. Each condition can be turned on/off, chained using AND/OR logic, and adapted to your trading model. Whether you're building a rules-based quant system, automating alerts, or refining discretionary signals, MACD Forecast Colorful gives you full control over how signals are generated, displayed, and triggered. ⯁ With MACD Forecast Colorful, you can: • Detect MACD crossovers before they happen. • Anticipate trend reversals with greater precision. • React earlier than traditional indicators. • Gain a powerful edge in both discretionary and automated strategies. • This isn’t just smarter MACD — it’s predictive momentum intelligence. ⯁ Scientifically Powered by Linear Regression MACD Forecast Colorful is the first public MACD indicator to apply least-squares predictive modeling to MACD behavior — effectively introducing machine learning logic into a time-tested tool. It uses statistical regression to analyze historical behavior of the MACD and project future trajectories. The result is a forward-shifted MACD forecast that can detect upcoming crossovers and divergences before they appear on the chart. ⯁ Linear Regression: Technical Foundation Linear regression is a statistical method that models the relationship between a dependent variable (y) and one or more independent variables (x). The basic formula for simple linear regression is: y = β₀ + β₁x + ε Where: y = predicted variable (e.g., future MACD value) x = independent variable (e.g., bar index) β₀ = intercept β₁ = slope ε = random error (residual) The regression model calculates β₀ and β₁ using the least squares method, minimizing the sum of squared prediction errors to produce the best-fit line through historical values. This line is then extended forward, generating a forecast based on recent price momentum. ⯁ Least Squares Estimation The regression coefficients are computed with the following formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Regression in Machine Learning Linear regression is a foundational model in supervised learning. Its ability to provide precise, explainable, and fast forecasts makes it critical in AI systems and quantitative analysis. Applying linear regression to MACD forecasting is the equivalent of injecting artificial intelligence into one of the most widely used momentum tools in trading. ⯁ Visual Interpretation Picture the MACD values over time like this: Time → MACD → A regression line is fitted to recent MACD values, then projected forward n periods. The result is a predictive trajectory that can cross over the real MACD or signal line — offering an early-warning system for trend shifts and momentum changes. The indicator plots both current MACD and forecasted MACD, allowing you to visually compare short-term future behavior against historical movement. ⯁ Scientific Concepts Used Linear Regression: models the relationship between variables using a straight line. Least Squares Method: minimizes squared prediction errors for best-fit. Time-Series Forecasting: projects future data based on past patterns. Supervised Learning: predictive modeling using labeled inputs. Statistical Smoothing: filters noise to highlight trends. ⯁ Why This Indicator Is Revolutionary First open-source MACD with real-time predictive modeling. Scientifically grounded with linear regression logic. Automatable through TradingView alerts and bots. Smart signal generation using forecasted crossovers. Highly customizable with 22 buy/sell conditions. Enhanced visuals with background (bgcolor) and area fill (fill) support. This isn’t just an update — it’s the next evolution of MACD forecasting. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What is the MACD? The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram. ⯁ How to use the MACD? The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line. Here are the primary signals generated by the MACD: • Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal. • Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal. • Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal. • Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI. ⯁ How to use MACD forecast? The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities. Step 1 — Spot Predicted Crossovers: Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move. Step 2 — Confirm with Histogram Projection: Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions. Step 3 — Combine with Multi-Timeframe Analysis: Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast). Step 4 — Set Entry Conditions & Automation: Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts. Step 5 — Trade Ahead of the Market: By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders. 📈 BUY 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 📉 SELL 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill" Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill"

Pine Script® indicator

Gold Thai Compass Gold Thai Compass Indicator Calculates Thai Gold Price (96.5%) by converting XAU/USD with the USD/THB exchange rate in real time Displays the calculated gold_price_thb directly on the chart with a clean right-aligned label for easy price reading Includes customizable reference lines — add, remove, rename, recolor, and adjust each line independently Supports multiple editable lines (e.g., 4 levels) with price labels displayed beside each line Provides user-friendly input settings (e.g., custom price sources, spread/adjustment options) Updates dynamically with live market data — suitable for trading, analysis, and Thai gold price tracking Designed for TradingView (Pine Script) and optimized for clarity and usability Optional visibility controls to show/hide labels and reference lines for a cleaner chart layout

Pine Script® indicator

by stocxadvisor

9/15 EMA Scalper 9/15 EMA Scalper — by uzairbaloch This script is a price-action based scalping system built around the 9 EMA and 15 EMA trend structure. It identifies short-term reversal points where the market pulls back into the EMAs and confirms direction with a strong candle signal. The strategy looks for: • A clear EMA trend (9 above 15 for buys, 9 below 15 for sells) • Pullback into EMA9/EMA15 with candle bodies touching the fast EMA • Strong confirmation candle (engulfing / strong momentum / controlled wick) • Optional slope filter to avoid flat, choppy sessions • Automatic trade labels showing Entry, SL and TP (based on R:R) The script is designed for scalping on gold, indices, and high-volatility FX pairs. It resets trade logic immediately after SL or TP is hit, so it can catch the next valid signal without delay. This tool is meant as an indicator — not a full strategy — and can be used to visually mark high-probability EMA pullback setups with precise levels. Author: uzairbaloch

Pine Script® indicator

Updated

Fear & Greed Oscillator - Risk Sentiment The Fear & Greed Oscillator – Risk Sentiment is a macro-driven sentiment indicator inspired by the popular Fear & Greed Index , but rebuilt from the ground up using real, market-based economic data and statistical normalization. While the traditional Fear & Greed Index uses components like volatility, volume, and social media trends to estimate sentiment, this version is powered by the Copper/Gold ratio — a historically respected gauge of macroeconomic confidence and risk appetite. 📈 Expansion vs. Contraction Theory At the heart of this oscillator is a simple macroeconomic insight: 🟢 Copper performs well during periods of economic expansion and risk-on behavior (industrials, construction, manufacturing growth). 🔴 Gold performs well during periods of economic contraction , as a classic risk-off, capital-preserving asset. By tracking the ratio of Copper to Gold prices over time and converting it into a Z-score , this tool shows when macro sentiment is statistically stretched toward greed or fear — based on how unusually strong one side of the ratio is relative to its historical average. ⚙️ How It Works The script takes two user-defined tickers (default: Copper and Gold) and calculates their ratio. It then applies Z-score normalization over a user-defined period (default: 200 bars). A color gradient line is plotted: 🔴 Z < -2 = Extreme Fear 🟣 -2 to 0 = Mild Fear to Neutral 🔵 0 to 2 = Neutral to Greed 🟢 Z > 2 = Extreme Greed Visual guides at ±1, ±2, ±3 standard deviations give immediate context. Includes alert conditions when the Z-score crosses above +2 (Greed) or below -2 (Fear). 🔔 Alerts “Z-Score has entered the Greed Zone ” when Z > 2 “Z-Score has entered the Fear Zone ” when Z < -2 These are designed to help catch macro sentiment extremes before or during large shifts in market behavior. ⚠️ Disclaimer This indicator is a macro sentiment tool, not a direct trading signal. While the Copper/Gold ratio often reflects economic risk trends, correlation with risk assets (like Bitcoin or equities) is not guaranteed and may vary by cycle. Always use this indicator in conjunction with other tools and contextual analysis.

Pine Script® indicator

Lot Size Calculator Lot Size Calculator for Gold (XAU) This indicator helps traders calculate the proper lot size for Gold (XAU) based on their entry, stop loss, and risk amount in USD. You can set your entry and stop levels directly on the chart, and adjust your dollar risk from the settings panel. The indicator measures the distance between entry and stop to calculate the position size that matches your selected risk. A clean, customizable table displays key values such as Risk, Entry, Stop, Target, Lots, and Pips. You can easily hide specific rows, change colors, and adjust layout options to fit your chart style. Designed specifically for Gold traders, this tool provides a simple and visual way to manage risk directly on the chart.

Pine Script® indicator

Updated

XenoSmooth Predictive Candles - Advanced Heikin Ashi Candles XenoSmooth Predictive Candles Summary in one paragraph A synthetic candle engine for crypto, FX, equities, and futures on intraday to swing timeframes. It reduces noise and flip delay so structure is easier to read. The core novelty is a predictive open with inertia plus slope lead fused with a zero lag body filter and an overshoot based wick model normalized by the real range and capped by ATR. Add it to a clean chart, hide regular candles if desired, and tune lengths. Shapes can move while the bar is open and settle on close. For conservative workflows read on bar close. Scope and intent • Markets. Major FX pairs, index futures, large cap equities, liquid crypto • Timeframes. One minute to daily • Purpose. Faster and smoother visual structure than Heikin Ashi while keeping causality and realistic wicks Originality and usefulness • Unique concept. Predictive open with inertia and slope lead plus selectable zero lag body filter and ATR capped wick overshoot in percent of real range • Failure mode addressed. Late flips in chop and unreal long wicks from raw extremes • Testability. Every control is an input. Users can toggle body method, lengths, clipping, and percent modeling • Portable yardstick. ATR based wick cap and percent of bar range scale across symbols Method overview in plain language Build a robust base price from O, H, L, and extra weight on Close. Smooth it with a chosen filter to produce the synthetic close. Drive a predictive open that follows the synthetic close with tunable inertia and a small lead from the last bar slope. Model wicks as the portion of the real extremes that extends beyond the synthetic body, smooth that overshoot, normalize by the bar range if selected, then cap by ATR to avoid tail spikes. Clamp synthetic values to the real high and low if enabled. Base measures • Range basis. True Range for the ATR cap and High minus Low for percent normalization • Return basis. Not used Components • Body Base Blend. Weighted O H L with a close bias to stabilize the base • Zero Lag Body Filter. ZLEMA or Super Smoother or WMA to set the synthetic close • Predictive Open. Inertial follow of the synthetic close plus a slope lead term • Wick Overshoot Model. Smoothed extension beyond the body, optional percent of real range, ATR cap • Clamp Option. Keeps synthetic open and close inside the real bar range Fusion rule • Synthetic close equals filtered base • Synthetic open equals previous open plus inertia times distance to synthetic close plus slope lead • Wicks equal smoothed overshoot above and below the body, optionally percent of range then converted back to price and capped by ATR Inputs with guidance Setup • Signal timeframe. Uses the chart timeframe • Invert direction. Not applicable • Session windows. Not applicable Logic • Body length. Core smoothing length for the synthetic close. Typical 6 to 14. Higher gives smoother and slower. Lower gives faster flips • Body method. ZLEMA or Super Smoother or WMA. ZLEMA is fastest. Super Smoother is calmest • Close weight in base. 0 to 1. Higher gives stronger emphasis on close and less noise • Open inertia. 0 to 1. Higher makes the open follow the close more tightly • Lead gain. 0 to 1. Higher adds more phase lead. Keep modest to avoid overshoot • Clamp body to real range. On keeps synthetic body inside high and low • Wick smooth length. Typical 4 to 10. Higher reduces jitter • Overshoot as percent. On stabilizes wicks across regimes • ATR length. Typical 10 to 20 for the cap • Max wick equals ATR times. 0 disables. 1.0 to 2.0 contains extreme tails Filters • Efficiency or trend filter. Not used • Micro versus macro range relation. Not used • Location filter. Not used Realism and responsible publication • No performance claims • Intrabar motion reminder. Shapes can move while a bar forms and settle on close • Strategies must use standard candles for signals and orders Honest limitations and failure modes • High impact releases and thin liquidity can distort wicks and produce gaps that any smoother cannot predict • Very quiet regimes can reduce contrast. Consider longer body length • Session time on the chart controls the definition of each bar

Pine Script® indicator

Gold THB per Baht (XAU -> Thai baht gold)What it does This indicator converts international gold prices (XAU) into Thai retail “baht gold” price (THB per 1 baht gold weight) in real time. It multiplies the XAU price (per troy ounce) by USD/THB and converts ounces to Thai baht-weight using the exact gram ratios. Formula THB per baht gold = XAU (USD/oz) × USDTHB × (15.244 / 31.1035) × (1 + Adjustment%) + FlatFeeTHB 1 troy ounce = 31.1035 g 1 Thai baht gold = 15.244 g Conversion factor ≈ 0.490103

Pine Script® indicator

FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL Summary in one paragraph FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close. Scope and intent • Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs • Timeframes. One minute to daily • Default demo used in the publication. SPY on 30min • Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state • Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes • Testability. All windows and gains are inputs • Portable yardstick. Returns use natural log units and range is bar high minus low • Protected scripts. Not used. Method disclosed plainly here Method overview in plain language Base measures • Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion Components • Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized • Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression • Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves • Energy score. Z scores of the above form a single energy that controls the state gain • One bar projection. Current slope extended by one bar for anticipatory checks Fusion rule Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push. Signal rule • Long suggestion and order when close is below trend and the one bar projection is above the trend • Short suggestion and flip when close is above trend and the one bar projection is below the trend • WAIT is implicit when neither condition holds • In position states end on the opposite condition What you will see on the chart • Colored trendline teal for rising red for falling gray for flat • Optional projection line one bar ahead • Optional background can be enabled in code • Alerts on price cross and on slope flips Inputs with guidance Setup • Price source. Close by default Logic • Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips • Vol window. Typical range 30 to 120. Higher calms curvature • Energy window. Typical range 20 to 80. Higher slows regime changes • Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop UI • Show 1 bar projection. Colors for up down flat Properties visible in this publication • Initial capital 25000 • Base currency USD • Commission percent 0.03 • Slippage 5 • Default order size method percent of equity value 3% • Pyramiding 0 • Process orders on close off • Calc on every tick off • Recalculate after order is filled off Realism and responsible publication • No performance claims • Intrabar reminder. Shapes can move while a bar forms and settle on close • Strategy uses standard candles only Honest limitations and failure modes • Sudden gaps and thin liquidity can still produce fast flips • Very quiet regimes reduce contrast. Use larger windows and lower max gain • Session time uses the exchange time of the chart if you enable any windows later • Past results never guarantee future outcomes Open source reuse and credits • None

Pine Script® strategy

Reactive Curvature Smoother Moving Average Indicator Summary in one paragraph RCS MA is a reactive curvature smoother for any liquid instrument on intraday through swing timeframes. It helps you act only when context strengthens by adapting its window length with a normalized path energy score and by smoothing with robust residual weights over a quadratic fit, then optionally blending a capped one step forecast. Add it to a clean chart and watch the single colored line. Shapes can shift while a bar forms and settle on close. For conservative use, judge on bar close. Scope and intent • Markets: major FX pairs, index futures, large cap equities, liquid crypto • Timeframes: one minute to daily • Purpose: reduce lag in trends while resisting chop and outliers • Limits: indicator only, no orders Originality and usefulness • Novelty: adaptive window selection by minimizing normalized path energy with directionality bias, plus Huber weighted residuals and curvature aware penalty, finished with a mintick capped forecast blend • Failure modes addressed: whipsaws from fixed length MAs and outlier spikes that pull means • Testable: Inputs expose all components and optional diagnostics show chosen length, directionality, and energy • Portable yardstick: forecast cap uses mintick to stay symbol aware Method overview in plain language Base measures • Range span of the tested window and a path energy defined as the sum of squared price increments, normalized by span Components Adaptive window chooser: scans L between Min and Max using an energy over trend score and picks the lowest score Robust smoother: fits a quadratic to the last L bars, computes residuals, applies Huber weights and an exponential residual penalty scaled down when curvature is high Forecast blend: projects one step ahead from the quadratic, caps displacement by a multiple of mintick, blends by user weight Fusion rule • Final line equals robust mean plus optional capped forecast blend Signal rule • Visual bias only: color turns lime when close is above the line, red otherwise What you will see on the chart • One colored line that tightens in trends and relaxes in chop • Optional debug overlays for core value, chosen L, directionality, and energy • Optional last bar label with L, directionality, and energy • Reminder: drawings can move intrabar and settle on close Inputs with guidance Setup • Source: price series to smooth Logic • Min window l_min. Typical 5 to 21. Higher increases stability, adds lag • Max window l_max. Typical 40 to 128. Higher reduces noise, adds lag ceiling • Length step grid_step. Typical 1 to 8. Smaller is finer and heavier • Trend bias trend_bias. Typical 0.50 to 0.80. Higher favors trend persistence • Residual penalty lambda_base. Typical 0.8 to 2.0. Higher downweights large residuals more • Huber threshold huber_k. Typical 1.5 to 3.0. Higher admits more outliers • Curvature guard curv_guard. Typical 0.3 to 1.0. Higher reduces influence when curve is tight • Forecast blend lead_blend. 0 disables. Typical 0.10 to 0.40 • Forecast cap lead_limit. Typical 1 to 5 minticks • Show chosen L and metrics show_debug. Diagnostics toggle Optional: enable diagnostics to see length, direction, and energy Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while bars are open and settle on close • Use on standard candles for analysis and combine with your own risk process Honest limitations and failure modes • Very quiet regimes can reduce energy contrast, length selection may hover near the bounds • Gap heavy symbols can disrupt quadratic fit on the window edges • Excessive forecast blend may look anticipatory; use low values and the cap

Pine Script® indicator

Liquidity Swap Detector Ultimate - Cedric Jeanjean Advanced Smart Money Concepts indicator designed to detect high-probability liquidity sweeps and institutional order flow reversals. This professional-grade tool combines multiple ICT (Inner Circle Trader) strategies to identify optimal entry points. ═══════════════════════════════════════════════════════ 📊 KEY FEATURES: ✅ Smart Swing Detection - Identifies confirmed swing highs and lows using adaptive lookback periods - Eliminates false signals through double-confirmation logic - Detects liquidity grabs at key market structure points ✅ Fair Value Gap (FVG) Analysis - Multi-timeframe FVG detection for enhanced accuracy - Filters imbalances by minimum size threshold - Combines current timeframe and higher timeframe FVGs ✅ Advanced Volatility Filter - ATR-based volatility analysis to avoid low-quality setups - Adjustable volatility threshold (default 0.35%) - Ensures entries during optimal market conditions ✅ Precision Signal Generation - LONG signals: Confirmed swing lows + FVG + volatility confirmation - SHORT signals: Confirmed swing highs + FVG + volatility confirmation - Clear visual markers with price labels ✅ Comprehensive Alert System - Three alert types: Simple, Detailed, JSON (for webhooks) - Separate LONG/SHORT alert controls - Compatible with MT5 integration via webhooks - TradingView native alertcondition support ✅ Professional Dashboard - Real-time ATR monitoring - Volatility percentage display - FVG status indicator - Alert status tracker ═══════════════════════════════════════════════════════ ⚙️ CUSTOMIZABLE PARAMETERS: 🔹 Lookback Swing (1-50): Defines swing detection sensitivity 🔹 ATR Multiplier: Controls wick filter strength 🔹 Volatility Filter: Minimum required market volatility (%) 🔹 FVG Filter: Minimum fair value gap size (%) 🔹 FVG Timeframe: Higher timeframe for multi-TF analysis 🔹 Visual Options: Toggle swing marks, FVG zones, labels 🔹 Alert Controls: Enable/disable LONG/SHORT notifications ═══════════════════════════════════════════════════════ 📈 HOW IT WORKS: 1. The indicator scans for confirmed swing points using a robust double-confirmation algorithm 2. Simultaneously analyzes Fair Value Gaps on both current and higher timeframes 3. Validates market volatility to ensure sufficient price movement 4. Generates precise entry signals when all conditions align 5. Triggers customizable alerts for instant notification ═══════════════════════════════════════════════════════ 🎯 BEST PRACTICES: - Use on liquid markets (Forex majors, indices, crypto) - Recommended timeframes: 15m, 1H, 4H - Combine with support/resistance for confirmation - Adjust lookback period based on market volatility - Test alert settings before live trading - Use JSON alerts for automated trading integration ═══════════════════════════════════════════════════════ ⚡ ALERT CONFIGURATION: 1. Click the Alert icon (bell) in TradingView 2. Select "Liquidity Swap Detector Ultimate - TITAN v6" 3. Choose your preferred alert condition: - LONG Signal: Only bullish setups - SHORT Signal: Only bearish setups - ANY Signal: All trading opportunities 4. Set expiration and notification preferences 5. For MT5 integration: Select "JSON" message type and configure webhook URL

Pine Script® indicator

Smart MACD Volume Trader # Smart MACD Volume Trader ## Overview Smart MACD Volume Trader is an enhanced momentum indicator that combines the classic MACD (Moving Average Convergence Divergence) oscillator with an intelligent high-volume filter. This combination significantly reduces false signals by ensuring that trading signals are only generated when price momentum is confirmed by substantial volume activity. The indicator supports over 24 different instruments including major and exotic forex pairs, precious metals (gold and silver), energy commodities (crude oil, natural gas), and industrial metals (copper). For forex and commodity traders, the indicator automatically maps to CME and COMEX futures contracts to provide accurate institutional-grade volume data. ## Originality and Core Concept Traditional MACD indicators generate signals based solely on price momentum, which can result in numerous false signals during low-activity periods or ranging markets. This indicator addresses this critical weakness by introducing a volume confirmation layer with automatic institutional volume integration. **What makes this approach original:** - Signals are triggered only when MACD crossovers coincide with elevated volume activity - Implements a lookback mechanism to detect volume spikes within recent bars - Automatically detects and maps 24+ forex pairs and commodities to their corresponding CME and COMEX futures contracts - Provides real institutional volume data for forex pairs where spot volume is unreliable - Combines two independent market dimensions (price momentum and volume) into a single, actionable signal - Includes intelligent asset detection that works across multiple exchanges and ticker formats **The underlying principle:** Volume validates price movement. When institutional money enters the market, it creates volume signatures. By requiring high volume confirmation and using actual institutional volume data from futures markets, this indicator filters out weak price movements and focuses on trades backed by genuine market participation. The automatic futures mapping ensures that forex and commodity traders always have access to the most accurate volume data available, without manual configuration. ## How It Works ### MACD Component The indicator calculates MACD using standard methodology: 1. **Fast EMA (default: 12 periods)** - Tracks short-term price momentum 2. **Slow EMA (default: 26 periods)** - Tracks longer-term price momentum 3. **MACD Line** - Difference between Fast EMA and Slow EMA 4. **Signal Line (default: 9-period SMA)** - Smoothed average of MACD line **Crossover signals:** - **Bullish:** MACD line crosses above Signal line (momentum turning positive) - **Bearish:** MACD line crosses below Signal line (momentum turning negative) ### Volume Filter Component The volume filter adds an essential confirmation layer: 1. **Volume Moving Average** - Calculates exponential MA of volume (default: 20 periods) 2. **High Volume Threshold** - Multiplies MA by ratio (default: 2.0x or 200%) 3. **Volume Detection** - Identifies bars where current volume exceeds threshold 4. **Lookback Period** - Checks if high volume occurred in recent bars (default: 5 bars) **Signal logic:** - Buy/Sell signals only trigger when BOTH conditions are met: - MACD crossover/crossunder occurs - High volume detected within lookback period ### Automatic CME Futures Integration For forex traders, spot FX volume data can be unreliable or non-existent. This indicator solves this problem by automatically detecting forex pairs and mapping them to corresponding CME futures contracts with real institutional volume data. **Supported Major Forex Pairs (7):** - EURUSD → CME:6E1! (Euro FX Futures) - GBPUSD → CME:6B1! (British Pound Futures) - AUDUSD → CME:6A1! (Australian Dollar Futures) - USDJPY → CME:6J1! (Japanese Yen Futures) - USDCAD → CME:6C1! (Canadian Dollar Futures) - USDCHF → CME:6S1! (Swiss Franc Futures) - NZDUSD → CME:6N1! (New Zealand Dollar Futures) **Supported Exotic Forex Pairs (4):** - USDMXN → CME:6M1! (Mexican Peso Futures) - USDRUB → CME:6R1! (Russian Ruble Futures) - USDBRL → CME:6L1! (Brazilian Real Futures) - USDZAR → CME:6Z1! (South African Rand Futures) **Supported Cross Pairs (6):** - EURJPY → CME:6E1! (Uses Euro Futures) - GBPJPY → CME:6B1! (Uses British Pound Futures) - EURGBP → CME:6E1! (Uses Euro Futures) - AUDJPY → CME:6A1! (Uses Australian Dollar Futures) - EURAUD → CME:6E1! (Uses Euro Futures) - GBPAUD → CME:6B1! (Uses British Pound Futures) **Supported Precious Metals (2):** - Gold (XAUUSD, GOLD) → COMEX:GC1! (Gold Futures) - Silver (XAGUSD, SILVER) → COMEX:SI1! (Silver Futures) **Supported Energy Commodities (3):** - WTI Crude Oil (USOIL, WTIUSD) → NYMEX:CL1! (Crude Oil Futures) - Brent Oil (UKOIL) → NYMEX:BZ1! (Brent Crude Futures) - Natural Gas (NATGAS) → NYMEX:NG1! (Natural Gas Futures) **Supported Industrial Metals (1):** - Copper (COPPER) → COMEX:HG1! (Copper Futures) **How the automatic detection works:** The indicator intelligently identifies the asset type by analyzing: 1. Exchange name (FX, OANDA, TVC, COMEX, NYMEX, etc.) 2. Currency pair pattern (6-letter codes like EURUSD, GBPUSD) 3. Commodity identifiers (XAU for gold, XAG for silver, OIL for crude) When a supported instrument is detected, the indicator automatically switches to the corresponding futures contract for volume analysis. For stocks, cryptocurrencies, and other assets, the indicator uses the native volume data from the current chart. **Visual feedback:** An information table appears in the top-right corner of the MACD pane showing: - Current chart symbol - Exchange name - Currency pair or asset name - Volume source being used (highlighted in orange for futures, yellow for native volume) - Current high volume status This provides complete transparency about which data source the indicator is using for its volume analysis. ## How to Use ### Basic Setup 1. Add the indicator to your chart 2. The indicator displays in a separate pane (MACD) and overlay (signals/volume bars) 3. Default settings work well for most assets, but can be customized ### Signal Interpretation ### Visual Signals **Visual Signals:** - **Green "BUY" label** - Bullish MACD crossover confirmed by high volume - **Red "SELL" label** - Bearish MACD crossunder confirmed by high volume - **Green/Red candles** - Highlight bars with volume exceeding the threshold - **Light green/red background** - Emphasizes signal bars on the chart **Information Table:** A detailed information table appears in the top-right corner of the MACD pane, providing real-time transparency about the indicator's operation: - **Chart:** Current symbol being analyzed - **Exchange:** The exchange or data feed being used - **Pair:** The currency pair or asset name extracted from the ticker - **Volume From:** The actual symbol used for volume analysis - Orange color indicates CME or COMEX futures are being used (automatic institutional volume) - Yellow color indicates native volume from the chart symbol is being used - Hover tooltip shows whether automatic futures mapping is active - **High Volume:** Current status showing YES (green) when volume exceeds threshold, NO (gray) otherwise This table ensures complete transparency and allows you to verify that the correct volume source is being used for your analysis. **Volume Analysis:** - Gray histogram bars = Normal volume - Red histogram bars = High volume (exceeds threshold) - Green line = Volume moving average baseline **MACD Analysis:** - Blue line = MACD line (momentum indicator) - Orange line = Signal line (trend confirmation) - Gray dotted line = Zero line (bullish above, bearish below) ### Parameter Customization **MACD Parameters:** - Adjust Fast/Slow EMA lengths for different sensitivities - Shorter periods = More signals, faster response - Longer periods = Fewer signals, less noise **Volume Parameters:** - **Volume MA Period:** Higher values smooth volume analysis - **High Volume Ratio:** Lower values (1.5x) = More signals; Higher values (3.0x) = Fewer, stronger signals - **Volume Lookback Bars:** Controls how recent the volume spike must be **Direction Filters:** - **Only Buy Signals:** Enables long-only strategy mode - **Only Sell Signals:** Enables short-only strategy mode ### Alert Configuration The indicator includes three alert types: 1. **Buy Signal Alert** - Triggers when bullish signal appears 2. **Sell Signal Alert** - Triggers when bearish signal appears 3. **High Volume Alert** - Triggers when volume exceeds threshold To set up alerts: 1. Click the indicator name → "Add alert on Smart MACD Volume Trader" 2. Select desired alert condition 3. Configure notification method (popup, email, webhook, etc.) ## Trading Strategy Guidelines ### Best Practices **Recommended markets:** - Liquid stocks (large-cap, high daily volume) - Major forex pairs (EURUSD, GBPUSD, USDJPY, AUDUSD, USDCAD, USDCHF, NZDUSD) - Exotic forex pairs (USDMXN, USDRUB, USDBRL, USDZAR) - Cross pairs (EURJPY, GBPJPY, EURGBP, AUDJPY, EURAUD, GBPAUD) - Precious metals (Gold, Silver with automatic COMEX futures mapping) - Energy commodities (Crude Oil, Natural Gas with automatic NYMEX futures mapping) - Industrial metals (Copper with automatic COMEX futures mapping) - Major cryptocurrency pairs - Index futures and ETFs **Timeframe recommendations:** - **Day trading:** 5-minute to 15-minute charts - **Swing trading:** 1-hour to 4-hour charts - **Position trading:** Daily charts **Risk management:** - Use signals as entry confirmation, not standalone strategy - Combine with support/resistance levels - Consider overall market trend direction - Always use stop-loss orders ### Strategy Examples **Trend Following Strategy:** 1. Identify overall trend using higher timeframe (e.g., daily chart) 2. Trade only in trend direction 3. Use "Only Buy" filter in uptrends, "Only Sell" in downtrends 4. Enter on signal, exit on opposite signal or at resistance/support **Volume Breakout Strategy:** 1. Wait for consolidation period (low volume, tight MACD range) 2. Enter when signal appears with high volume (confirms breakout) 3. Target previous swing highs/lows 4. Stop loss below/above recent consolidation **Forex Scalping Strategy (with automatic CME futures):** 1. The indicator automatically detects forex pairs and uses CME futures volume 2. Trade during active sessions only (use session filter) 3. Focus on quick profits (10-20 pips) 4. Exit at opposite signal or profit target **Commodities Trading Strategy (Gold, Silver, Oil):** 1. The indicator automatically maps to COMEX and NYMEX futures contracts 2. Trade during high-liquidity sessions (overlap of major markets) 3. Use the high volume confirmation to identify institutional entry points 4. Combine with key support and resistance levels for entries 5. Monitor the information table to confirm futures volume is being used (orange color) 6. Exit on opposite MACD signal or at predefined profit targets ## Why This Combination Works ### The Volume Advantage Studies consistently show that price movements accompanied by high volume are more likely to continue, while low-volume movements often reverse. This indicator leverages this principle by requiring volume confirmation. **Key benefits:** 1. **Reduced False Signals:** Eliminates MACD whipsaws during low-volume consolidation 2. **Confirmation Bias:** Two independent indicators (price momentum + volume) agreeing 3. **Institutional Alignment:** High volume often indicates institutional participation 4. **Trend Validation:** Volume confirms that price momentum has "conviction" ### Statistical Edge By combining two uncorrelated signals (MACD crossovers and volume spikes), the indicator creates a higher-probability setup than either signal alone. The lookback mechanism ensures signals aren't missed if volume spike slightly precedes the MACD cross. ## Supported Exchanges and Automatic Detection The indicator includes intelligent asset detection that works across multiple exchanges and ticker formats: **Forex Exchanges (Automatic CME Mapping):** - FX (TradingView forex feed) - OANDA - FXCM - SAXO - FOREXCOM - PEPPERSTONE - EASYMARKETS - FX_IDC **Commodity Exchanges (Automatic COMEX/NYMEX Mapping):** - TVC (TradingView commodity feed) - COMEX (directly) - NYMEX (directly) - ICEUS **Other Asset Classes (Native Volume):** - Stock exchanges (NASDAQ, NYSE, AMEX, etc.) - Cryptocurrency exchanges (BINANCE, COINBASE, KRAKEN, etc.) - Index providers (SP, DJ, etc.) The detection algorithm analyzes three factors: 1. Exchange prefix in the ticker symbol 2. Pattern matching for currency pairs (6-letter codes) 3. Commodity identifiers in the symbol name This ensures accurate automatic detection regardless of which data feed or exchange you use for charting. The information table in the top-right corner always displays which volume source is being used, providing complete transparency. ## Technical Details **Calculations:** - MACD Fast MA: EMA(close, fastLength) - MACD Slow MA: EMA(close, slowLength) - MACD Line: Fast MA - Slow MA - Signal Line: SMA(MACD Line, signalLength) - Volume MA: Exponential MA of volume - High Volume: Current volume >= Volume MA × Ratio **Signal logic:** ``` Buy Signal = (MACD crosses above Signal) AND (High volume in last N bars) Sell Signal = (MACD crosses below Signal) AND (High volume in last N bars) ``` ## Parameters Reference | Parameter | Default | Description | |-----------|---------|-------------| | Volume Symbol | Blank | Manual override for volume source (leave blank for automatic detection) | | Use CME Futures | False | Legacy option (automatic detection is now built-in) | | Alert Session | 1530-2200 | Active session time range for alerts | | Timezone | UTC+1 | Timezone for alert sessions | | Volume MA Period | 20 | Number of periods for volume moving average | | High Volume Ratio | 2.0 | Volume threshold multiplier (2.0 = 200% of average) | | Volume Lookback | 5 | Number of bars to check for high volume confirmation | | MACD Fast Length | 12 | Fast EMA period for MACD calculation | | MACD Slow Length | 26 | Slow EMA period for MACD calculation | | MACD Signal Length | 9 | Signal line SMA period | | Only Buy | False | Filter to show only bullish signals | | Only Sell | False | Filter to show only bearish signals | | Show Signals | True | Display buy and sell labels on chart | ## Optimization Tips **For volatile markets (crypto, small caps):** - Increase High Volume Ratio to 2.5-3.0 - Reduce Volume Lookback to 3-4 bars - Consider faster MACD settings (8, 17, 9) **For stable markets (large-cap stocks, bonds):** - Decrease High Volume Ratio to 1.5-1.8 - Increase Volume MA Period to 30-50 - Use standard MACD settings **For forex (with automatic CME futures):** - The indicator automatically uses CME futures when forex pairs are detected - Set appropriate trading session based on your timezone - Use Volume Lookback of 5-7 bars - Consider session-based alerts only - Monitor the information table to verify correct futures mapping **For commodities (Gold, Silver, Oil, Copper):** - The indicator automatically maps to COMEX and NYMEX futures - Increase High Volume Ratio to 2.0-2.5 for metals - Use slightly higher Volume MA Period (25-30) for smoother analysis - Trade during active market hours for best volume data - The information table will show the futures contract being used (orange highlight) ## Limitations and Considerations **What this indicator does NOT do:** - Does not predict future price direction - Does not guarantee profitable trades - Does not replace proper risk management - Does not work well in extremely low-volume conditions **Market conditions to avoid:** - Pre-market and after-hours sessions (low volume) - Major news events (volatile, unpredictable volume) - Holidays and low-liquidity periods - Extremely low float stocks ## Conclusion Smart MACD Volume Trader represents a significant evolution of the traditional MACD indicator by combining volume confirmation with automatic institutional volume integration. This dual-confirmation approach significantly improves signal quality by filtering out low-conviction price movements and ensuring traders work with accurate volume data. The indicator's automatic detection and mapping system supports over 24 instruments across forex, commodities, and metals markets. By intelligently switching to CME and COMEX futures contracts when appropriate, the indicator provides forex and commodity traders with the same quality of volume data that stock traders naturally have access to. This indicator is particularly valuable for traders who want to: - Align their entries with institutional money flow - Avoid getting trapped in false breakouts - Trade forex pairs with reliable volume data - Access accurate volume information for gold, silver, and energy commodities - Combine momentum and volume analysis in a single, streamlined tool Whether you are day trading stocks, swing trading forex pairs, or positioning in commodities markets, this indicator provides a robust framework for identifying high-probability momentum trades backed by genuine institutional participation. The automatic futures mapping works seamlessly across all supported instruments, requiring no manual configuration or expertise in futures markets. --- ## Support and Updates This indicator is actively maintained and updated based on user feedback and market conditions. For questions about implementation or custom modifications, please use the comments section below. **Disclaimer:** This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management before trading.

Pine Script® indicator

by Smart-Day-Trader

Indian Gold Festival Dates Historical Indian Gold Festival Dates (1975-2025) Marks 8 major Indian festivals associated with gold buying over 50 years of historical data. Essential for analyzing seasonal patterns and cultural demand cycles in gold markets. Festivals Included: Dhanteras (Gold) - Most auspicious gold buying day Diwali (Orange) - Festival of Lights Akshaya Tritiya (Green) - "Never-ending" prosperity Dussehra (Red) - Victory and success Makar Sankranti (Cyan) - Solar new year Gudi Padwa (Magenta) - Hindu New Year (Maharashtra) Ugadi (Purple) - Hindu New Year (South India) Navratri (Yellow) - 9-day festival Features: ✓ 408 exact historical dates (1975-2025) ✓ Color-coded vertical lines for easy identification ✓ Toggle individual festivals on/off ✓ Adjustable line width and labels ✓ Works on all timeframes (best on daily/weekly) Perfect for traders analyzing gold seasonality, Indian market sentiment, and cultural demand patterns. Use on XAUUSD, GC1!, or Indian gold futures.

Pine Script® indicator

Aurum DCX AVE Gold and Silver Strategy Summary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.

Pine Script® strategy

Fair Value Lead-Lag Model [BackQuant]Fair Value Lead-Lag Model A cross-asset model that estimates where price "should" be relative to a chosen reference series, then tracks the deviation as a normalized oscillator. It helps you answer two questions: 1) is the asset rich or cheap vs its driver, and 2) is the driver leading or lagging price over the next N bars. Concept in one paragraph Many assets co-move with a macro or sector driver. Think BTC vs DXY, gold vs real yields, a stock vs its sector ETF. This tool builds a rolling fair value of the charted asset from a reference series and shows how far price is above or below that fair value in standard deviation units. You can shift the reference forward or backward to test who leads whom, then use the deviation and its bands to structure mean-reversion or trend-following ideas. What the model does Reference mapping : Pulls a reference symbol at a chosen timeframe, with an optional lead or lag in bars to test causality. Fair value engine : Converts the reference into a synthetic fair value of the chart using one of four methods: Ratio : price/ref with a rolling average ratio. Good when the relationship is proportional. Spread : price minus ref with a rolling average spread. Good when the relationship is additive. Z-Score : normalizes both series, aligns on standardized units, then re-projects to price space. Good when scale drifts. Beta-Adjusted : rolling regression style. Uses covariance and variance to compute beta, then builds a fair value = mean(price) + beta * (ref − mean(ref)). Deviation and bands : Computes a z-scored deviation of price vs fair value and plots sigma bands (±1, ±2, ±3) around the fair value line on the chart. Correlation context : Shows rolling correlation so you can judge if deviations are meaningful or just noise when co-movement is weak. Visuals : Fair value line on price chart with sigma envelopes. Deviation as a column oscillator and optional line. Threshold shading beyond user-set upper and lower levels. Summary table with reference, deviation, status, correlation, and method. Why this is useful Mean reversion framework : When correlation is healthy and deviation stretches beyond your sigma threshold, probability favors reversion toward fair value. This is classic pairs logic adapted to a driver and a target. Trend confirmation : If price rides the fair value line and deviation stays modest while correlation is positive, it supports trend persistence. Pullbacks to negative deviation in an uptrend can be buyable. Lead-lag discovery : Shift the reference forward by +N bars. If correlation improves, the reference tends to lead. Shift backward for the reverse. Use the best setting for planning early entries or hedges. Regime detection : Large persistent deviations with falling correlation hint at regime change. The relationship you relied on may be breaking down, so reduce confidence or switch methods. How to use it step by step Pick a sensible reference : Choose a macro, index, currency, or sector driver that logically explains the asset’s moves. Example: gold with DXY, a semiconductor stock with SOXX. Test lead-lag : Nudge Lead/Lag Periods to small positive values like +1 to +5 to see if the reference leads. If correlation improves, keep that offset. If correlation worsens, try a small negative value or zero. Select a method : Start with Beta-Adjusted when the relationship is approximately linear with drift. Use Ratio if the assets usually move in proportional terms. Use Spread when they trade around a level difference. Use Z-Score when scales wander or volatility regimes shift. Tune windows : Rolling Window controls how quickly fair value adapts. Shorter equals faster but noisier. Normalization Period controls how deviations are standardized. Longer equals stabler sigma sizing. Correlation Length controls how co-movement is measured. Keep it near the fair value window. Trade the edges : Mean reversion idea : Wait for deviation beyond your Upper or Lower Threshold with positive correlation. Fade back toward fair value. Exit at the fair value line or the next inner sigma band. Trend idea : In an uptrend, buy pullbacks when deviation dips negative but correlation remains healthy. In a downtrend, sell bounces when deviation spikes positive. Read the table : Deviation shows how many sigmas you are from fair value. Status tells you overvalued or undervalued. Correlation color hints confidence. Method tells you the projection style used. Reading the display Fair value line on price chart: the model’s estimate of where price should trade given the reference, updated each bar. Sigma bands around fair value: a quick sense of residual volatility. Reversions often target inner bands first. Deviation oscillator : above zero means rich vs fair value, below zero means cheap. Color bins intensify with distance. Correlation line (optional): scale is folded to match thresholds. Higher values increase trust in deviations. Parameter tips Start with Rolling Window 20 to 30, Normalization Period 100, Correlation Length 50. Upper and Lower Threshold at ±2.0 are classic. Tighten to ±1.5 for more signals or widen to ±2.5 to focus on outliers. When correlation drifts below about 0.3, treat deviations with caution. Consider switching method or reference. If the fair value line whipsaws, increase Rolling Window or move to Beta-Adjusted which tends to be smoother. Playbook examples Pairs-style reversion : Asset is +2.3 sigma rich vs reference, correlation 0.65, trend flat. Short the deviation back toward fair value. Cover near the fair value line or +1 sigma. Pro-trend pullback : Uptrend with correlation 0.7. Deviation dips to −1.2 sigma while price sits near the −1 sigma band. Buy the dip, target the fair value line, trail if the line is rising. Lead-lag timing : Reference leads by +3 bars with improved correlation. Use reference swings as early cues to anticipate deviation turns on the target. Caveats The model assumes a stable relationship over the chosen windows. Structural breaks, policy shocks, and index rebalances can invalidate recent history. Correlation is descriptive, not causal. A strong correlation does not guarantee future convergence. Do not force trades when the reference has low liquidity or mismatched hours. Use a reference timeframe that captures real overlap. Bottom line This tool turns a loose cross-asset intuition into a quantified, visual fair value map. It gives you a consistent way to find rich or cheap conditions, time mean-reversion toward a statistically grounded target, and confirm or fade trends when the driver agrees.

Pine Script® indicator

Quantum Flux Universal Strategy Summary in one paragraph Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version. Scope and intent • Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. QQQ on one hour • Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps. • What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise. • Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state. • Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols. Method overview in plain language The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction. Base measures • Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale. • Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop. • Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves. Components • Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner. • Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends. • Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response. • Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance. • Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot. Fusion rule • Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent. • The blend power input scales the driver mix. Zero means fixed spans. One means full driver control. • Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes. Signal rule • Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one. • Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one. • When polarity flips from plus to minus, the strategy closes any long and enters a short. • When flux crosses above the guide, the strategy closes any short. What you will see on the chart • White polarity plot around the zero line • A dotted reference line at zero named Zen • Green background tint for positive polarity and red background tint for negative polarity • Strategy long and short markers placed by the TradingView engine at entry and at close conditions • No table in this version to keep the visual clean and portable Inputs with guidance Setup • Price source. Default ohlc4. Stable for noisy symbols. • Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive. • Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price. Logic • Guide span. Typical range 4 to 12. A small guide smooths without eating turns. • Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing. • Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work. • Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise. • Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve. • Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak. • Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong. • Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline. • Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols. • Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs. Filters • Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends. • Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping. • Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version. Alerts • This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows. Strategy has been currently adapted for the QQQ asset with 30/60min timeframe. For other assets may require new optimization Properties visible in this publication • Initial capital 25000 • Base currency Default • Default order size method percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Honest limitations and failure modes • Past results do not guarantee future outcomes • Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency • Gap heavy symbols may benefit from the MAD Z normalization • Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context • Session time is the exchange time of the chart • If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference Open source reuse and credits • None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank • Method and fusion are original in construction and disclosure Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy add on block Strategy notice Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used. Entries and exits • Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero • Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short • Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed • Tie handling. Not applicable in this version because there are no fixed stops or targets Position sizing • Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice Properties used on the published chart • Initial capital 25000 • Base currency Default • Default order size percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Dataset and sample size • Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour • Trade count in sample 324 on the example chart Release notes template for future updates Version 1.1. • Add alertcondition lines for long, short, and exit short • Add optional table with component readouts • Add optional stop model with a distance unit expressed as ATR or a percent of price Notes. Backward compatibility Yes. Inputs migrated Yes.

Pine Script® strategy

LEGEND IsoPulse Fusion Universal Volume Trend Buy Sell Radar LEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell Radar One line summary LEGEND IsoPulse Fusion reads intent from price and volume together, learns which features matter most on your symbol, blends them into a single signed Fusion line in a stable unit range, and emits clear Buy Sell Close events with a structure gate and a liquidity safety gate so you act only when the tape is favorable. What this script is and why it exists Many traders keep separate windows for trend, volume, volatility, and regime filters. The result can feel fragmented. This script merges two complementary engines into one consistent view that is easy to read and simple to act on. LEGEND Tensor estimates directional quality from five causally computed features that are normalized for stationarity. The features are Flow, Tail Pressure with Volume Mix, Path Curvature, Streak Persistence, and Entropy Order. IsoPulse transforms raw volume into two decaying reservoirs for buy effort and sell effort using body location and wick geometry, then measures price travel per unit volume for efficiency, and detects volume bursts with a recency memory. Both engines are mapped into the same unit range and fused by a regime aware mixer. When the tape is orderly the mixer leans toward trend features. When the tape is messy but a true push appears in volume efficiency with bursts the mixer allows IsoPulse to speak louder. The outcome is a single Fusion line that lives in a familiar range with calm behavior in quiet periods and expressive pushes when energy concentrates. What makes it original and useful Two reservoir volume split . The script assigns a portion of the bar volume to up effort and down effort using body location and wick geometry together. Effort decays through time using a forgetting factor so memory is present without becoming sticky. Efficiency of move . Price travel per unit volume is often more informative than raw volume or raw range. The script normalizes both sides and centers the efficiency so it becomes signed fuel when multiplied by flow skew. Burst detection with recency memory . Percent rank of volume highlights bursts. An exponential memory of how recently bursts clustered converts isolated blips into useful context. Causal adaptive weighting . The LEGEND features do not receive static weights. The script learns, causally, which features have correlated with future returns on your symbol over a rolling window. Only positive contributions are allowed and weights are normalized for interpretability. Regime aware fusion . Entropy based order and persistence create a mixer that blends IsoPulse with LEGEND. You see a single line rather than two competing panels, which reduces decision conflict. How to read the screen in seconds Fusion area . The pane fills above and below zero with a soft gradient. Deeper fill means stronger conviction. The white Fusion line sits on top for precise crossings. Entry guides and exit guides . Two entry guides draw symmetrically at the active fused entry level. Two exit guides sit inside at a fraction of the entry. Think of them as an adaptive envelope. Letters . B prints once when the script flips from flat to long. S prints once when the script flips from flat to short. C prints when a held position ends on the appropriate side. T prints when the structure gate first opens. A prints when the liquidity safety flag first appears. Price bar paint . Bars tint green while long and red while short on the chart to mirror your virtual position. HUD . A compact dashboard in the corner shows Fusion, IsoPulse, LEGEND, active entry and exit levels, regime status, current virtual position, and the vacuum z value with its avoid threshold. What signals actually mean Buy . A Buy prints when the Fusion line crosses above the active entry level while gates are open and the previous state was flat. Sell . A Sell prints when the Fusion line crosses below the negative entry level while gates are open and the previous state was flat. Close . A Close prints when Fusion cools back inside the exit envelope or when an opposite cross would occur or when a gate forces a stop, and the previous state was a hold. Gates . The Trend gate requires sufficient entropy order or significant persistence. The Avoid gate uses a liquidity vacuum z score. Gates exist to protect you from weak tape and poor liquidity. Inputs and practical tuning Every input has a tooltip in the script. This section provides a concise reference that you can keep in mind while you work. Setup Core window . Controls statistics across features. Scalping often prefers the thirties or low fifties. Intraday often prefers the fifties to eighties. Swing often prefers the eighties to low hundreds. Smaller responds faster with more noise. Larger is calmer. Smoothing . Short EMA on noisy features. A small value catches micro shifts. A larger value reduces whipsaw. Fusion and thresholds Weight lookback . Sample size for weight learning. Use at least five times the horizon. Larger is slower and more confident. Smaller is nimble and more reactive. Weight horizon . How far ahead return is measured to assess feature value. Smaller favors quick reversion impulses. Larger favors continuation. Adaptive thresholds . Entry and exit levels from rolling percentiles of the absolute LEGEND score. This self scales across assets and timeframes. Entry percentile . Eighty selects the top quintile of pushes. Lower to seventy five for more signals. Raise for cleanliness. Exit percentile . Mid fifties keeps trades honest without overstaying. Sixty holds longer with wider give back. Order threshold . Minimum structure to trade. Zero point fifteen is a reasonable start. Lower to trade more. Raise to filter chop. Avoid if Vac z . Liquidity safety level. One point two five is a good default on liquid markets. Thin markets may prefer a slightly higher setting to avoid permanent avoid mode. IsoPulse Iso forgetting per bar . Memory for the two reservoirs. Values near zero point nine eight to zero point nine nine five work across many symbols. Wick weight in effort split . Balance between body location and wick geometry. Values near zero point three to zero point six capture useful behavior. Efficiency window . Travel per volume window. Lower for snappy symbols. Higher for stability. Burst percent rank window . Window for percent rank of volume. Around one hundred to three hundred covers most use cases. Burst recency half life . How long burst clusters matter. Lower for quick fades. Higher for cluster memory. IsoPulse gain . Pre compression gain before the atan mapping. Tune until the Fusion line lives inside a calm band most of the time with expressive spikes on true pushes. Continuation and Reversal guides . Visual rails for IsoPulse that help you sense continuation or exhaustion zones. They do not force events. Entry sensitivity and exit fraction Entry sensitivity . Loose multiplies the fused entry level by a smaller factor which prints more trades. Strict multiplies by a larger factor which selects fewer and cleaner trades. Balanced is neutral. Exit fraction . Exit level relative to the entry level in fused unit space. Values around one half to two thirds fit most symbols. Visuals and UX Columns and line . Use both to see context and precise crossings. If you present a very clean chart you can turn columns off and keep the line. HUD . Keep it on while you learn the script. It teaches you how the gates and thresholds respond to your market. Letters . B S C T A are informative and compact. For screenshots you can toggle them off. Debug triggers . Show raw crosses even when gates block entries. This is useful when you tune the gates. Turn them off for normal use. Quick start recipes Scalping one to five minutes Core window in the thirties to low fifties. Horizon around five to eight. Entry percentile around seventy five. Exit fraction around zero point five five. Order threshold around zero point one zero. Avoid level around one point three zero. Tune IsoPulse gain until normal Fusion sits inside a calm band and true squeezes push outside. Intraday five to thirty minutes Core window around fifty to eighty. Horizon around ten to twelve. Entry percentile around eighty. Exit fraction around zero point five five to zero point six zero. Order threshold around zero point one five. Avoid level around one point two five. Swing one hour to daily Core window around eighty to one hundred twenty. Horizon around twelve to twenty. Entry percentile around eighty to eighty five. Exit fraction around zero point six zero to zero point seven zero. Order threshold around zero point two zero. Avoid level around one point two zero. How to connect signals to your risk plan This is an indicator. You remain in control of orders and risk. Stops . A simple choice is an ATR multiple measured on your chart timeframe. Intraday often prefers one point two five to one point five ATR. Swing often prefers one point five to two ATR. Adjust to symbol behavior and personal risk tolerance. Exits . The script already prints a Close when Fusion cools inside the exit envelope. If you prefer targets you can mirror the entry envelope distance and convert that to points or percent in your own plan. Position size . Fixed fractional or fixed risk per trade remains a sound baseline. One percent or less per trade is a common starting point for testing. Sessions and news . Even with self scaling, some traders prefer to skip the first minutes after an open or scheduled news. Gate with your own session logic if needed. Limitations and honest notes No look ahead . The script is causal. The adaptive learner uses a shifted correlation, crosses are evaluated without peeking into the future, and no lookahead security calls are used. If you enable intrabar calculations a letter may appear then disappear before the close if the condition fails. This is normal for any cross based logic in real time. No performance promises . Markets change. This is a decision aid, not a prediction machine. It will not win every sequence and it cannot guarantee statistical outcomes. No dependence on other indicators . The chart should remain clean. You can add personal tools in private use but publications should keep the example chart readable. Standard candles only for public signals . Non standard chart types can change event timing and produce unrealistic sequences. Use regular candles for demonstrations and publications. Internal logic walkthrough LEGEND feature block Flow . Current return normalized by ATR then smoothed by a short EMA. This gives directional intent scaled to recent volatility. Tail pressure with volume mix . The relative sizes of upper and lower wicks inside the high to low range produce a tail asymmetry. A volume based mix can emphasize wick information when volume is meaningful. Path curvature . Second difference of close normalized by ATR and smoothed. This captures changes in impulse shape that can precede pushes or fades. Streak persistence . Up and down close streaks are counted and netted. The result is normalized for the window length to keep behavior stable across symbols. Entropy order . Shannon entropy of the probability of an up close. Lower entropy means more order. The value is oriented by Flow to preserve sign. Causal weights . Each feature becomes a z score. A shifted correlation against future returns over the horizon produces a positive weight per feature. Weights are normalized so they sum to one for clarity. The result is angle mapped into a compact unit. IsoPulse block Effort split . The script estimates up effort and down effort per bar using both body location and wick geometry. Effort is integrated through time into two reservoirs using a forgetting factor. Skew . The reservoir difference over the sum yields a stable skew in a known range. A short EMA smooths it. Efficiency . Move size divided by average volume produces travel per unit volume. Normalization and centering around zero produce a symmetric measure. Bursts and recency . Percent rank of volume highlights bursts. An exponential function of bars since last burst adds the notion of cluster memory. IsoPulse unit . Skew multiplied by centered efficiency then scaled by the burst factor produces the raw IsoPulse that is angle mapped into the unit range. Fusion and events Regime factor . Entropy order and streak persistence form a mixer. Low structure favors IsoPulse. Higher structure favors LEGEND. The blend is convex so it remains interpretable. Blended guides . Entry and exit guides are blended in the same way as the line so they stay consistent when regimes change. The envelope does not jump unexpectedly. Virtual position . The script maintains state. Buy and Sell require a cross while flat and gates open. Close requires an exit or force condition while holding. Letters print once at the state change. Disclosures This script and description are educational. They do not constitute investment advice. Markets involve risk. You are responsible for your own decisions and for compliance with local rules. The logic is causal and does not look ahead. Signals on non standard chart types can be misleading and are not recommended for publication. When you test a strategy wrapper, use realistic commission and slippage, moderate risk per trade, and enough trades to form a meaningful sample, then document those assumptions if you share results. Closing thoughts Clarity builds confidence. The Fusion line gives a single view of intent. The letters communicate action without clutter. The HUD confirms context at a glance. The gates protect you from weak tape and poor liquidity. Tune it to your instrument, observe it across regimes, and use it as a consistent lens rather than a prediction oracle. The goal is not to trade every wiggle. The goal is to pick your spots with a calm process and to stand aside when the tape is not inviting.

Pine Script® indicator

Daytrade Forex Scalper TwinPulse Auction Timer Indicator What this indicator is TwinPulse Auction Timer is a multi component execution aid designed for liquid markets. It looks for two families of opportunities Breakouts that leave a compression area after a fresh sweep Reversals that trigger after a sweep with strong wick polarity It does not try to predict future prices. It measures present auction conditions with transparent rules and shows you when those conditions align. You get a simple table that says LONG SHORT or WAIT, optional session shading, clean entry and exit level visuals, and alerts you can wire to your workflow. Why it is different Most tools show a single signal. TwinPulse combines several independent signals into an Edge Score that you can tune. The components are • Pulse. A signed measure of wick asymmetry with candle body direction • Compression. Current true range compared with an average range • Sweep timer. Bars elapsed since the most recent sweep of a prior high or low • Bias. Direction of a higher timeframe candle • Regime. Efficiency ratio and the relation of micro to macro volatility • Location. Distance from the daily anchored VWAP • Session. London and New York filter by time windows Each component is visible in the inputs and in the table so you can understand why a suggestion appears. The script uses request.security() with lookahead off in all calls so it does not peek into the future. Shapes may move while a bar is open since price is still forming. They stop moving when the bar closes. What you will see on the chart • L and S shapes on entry bars • An Exit shape at the price where a stop or the runner target would have been hit • Four horizontal lines while a trade is active Entry Stop TP1 at one R TP2 at the runner target expressed in R • Labels anchored to each line so you can instantly read Entry SL TP1 and TP2 with current values • Optional shading during your session windows • Optional daily VWAP line The table in the top right shows Action LONG SHORT IN LONG IN SHORT or WAIT Session ON or OFF Bias UP DOWN or FLAT Pulse value Compression value Edge L percent and Edge S percent How it works in detail Pulse For each bar the script measures up wick minus down wick divided by range and multiplies that by the sign of the candle body. The result is averaged with pulse_len. Positive numbers indicate aggressive buying. Negative numbers indicate aggressive selling. You control the minimum absolute value with pulse_thr. Compression Compression is the ratio of current range to an average range. You can choose the range basis. HL SMA uses simple high minus low smoothed by range_len. ATR uses classic True Range smoothed by atr_len. Values below comp_thr indicate a coil. Sweeps and the timer A sweep occurs when price trades beyond the highest high or lowest low seen in the previous sweep_len bars. A strict sweep requires a close back inside that prior range. The timer measures how many bars have elapsed since the last sweep. Breakout setups require the timer to exceed timer_thr. Bias on a confirmation timeframe A higher timeframe candle is read with confirm_tf. If close is above open bias is UP. If close is below open bias is DOWN. This keeps breakouts aligned with the prevailing drift. Regime filters Efficiency ratio measures the straight line change over the sum of absolute bar to bar changes over er_len. It rises in trendy conditions and falls in noise. Minimum efficiency is controlled by er_min. Micro to macro volatility ratio compares a short lookback average range with a longer lookback average range using your chosen basis. For breakouts you usually want micro volatility to be near or above macro hence mvr_min. For reversals you often want micro volatility that is not overheated relative to macro hence mvr_max_rev. VWAP distance gate Daily anchored VWAP is rebuilt from the open of each session. The script computes the absolute distance from VWAP in units of your average range and requires that distance to exceed vwap_dist_thr when use_vwap_gate is true. This keeps entries away from the mean. Edge Score Each gate contributes a weight that you control. The script sums weights of the satisfied gates and divides by the sum of all weights to produce an Edge percent for long and an Edge percent for short. You can then require a minimum Edge percent using edge_min_pct. This turns the indicator into a step by step checklist that you can tune to your taste. Using the indicator step by step Choose markets and timeframes The logic is designed for liquid instruments. Major currency pairs, index futures and cash index CFDs, and the most liquid crypto pairs work well. On intraday use one to fifteen minutes for signals and fifteen to sixty minutes for confirmation. On swing use one hour to one day for signals and one day for confirmation. Decide on entry mode Breakouts require a compression area and a sweep timer. Reversals require a strict sweep and a strong pulse. If you are unsure leave the default which allows both. Pick a range basis For FX and crypto HL SMA is often stable. For indices and single name equities with gaps ATR can adapt better. If results look too reactive increase the window. If results are too slow reduce it. Tune regime filters If you trade trend continuation raise er_min and mvr_min. If you trade counter rotation lower them and rely on the reversal path with the strict sweep condition. Set the VWAP gate Enabling it helps you avoid entries at the mean. Push the threshold higher on range bound days. Reduce it in strong trend days. Table driven decision Watch Action and the Edge percents. If the script says WAIT you can read Pulse and Compression to see what is missing. Often the best trades appear when both Edge percents are well separated and your session switch is ON. Use the visuals When a suggestion triggers you will see entry stop and targets. You can mirror the levels in your own workflow or use alerts. Consider bar close Signals are computed in real time. For a strict process you can wait until the bar closes to reduce noise. Inputs explained with quick guidance Setup Signal TF chooses where the logic is computed. Leave blank to use the chart. Confirm TF sets the higher timeframe for bias. Session filter restricts signals to the London and New York windows you specify. Invert flips long and short. It is useful on inverse instruments. Logic options Entry mode allows Breakouts Reversals or Both. Average range basis selects HL SMA or ATR. ATR length is used when ATR is selected. Pulse source can be Regular OHLC or Heikin Ashi. Heikin Ashi smooths noisy series, but the script still runs on regular bars and you should publish and use it on standard candles to respect the platform guidance. Core numeric settings Sweep lookback controls the size of the liquidity pool targeted by the sweep condition. Pulse window smooths the wick polarity measure. Average range window controls your base range when you use HL SMA. Pulse threshold sets the minimum polarity required. Compression threshold sets the maximum current range relative to average to consider the market coiled. Expansion timer bars sets how much time has passed since the last sweep before you allow a breakout. Regime filters Efficiency ratio length and minimum value keep you out of aimless drift. Micro and Macro range lengths feed the micro to macro ratio. Minimum micro to macro for breakouts and maximum micro to macro for reversals steer the two entry families. VWAP gate and distance threshold keep you away from the mean. Levels and trade management visuals Runner target in R sets TP2 as a multiple of initial risk. Stop distance as average range multiple sets initial risk size for the visuals. Move stop to entry after one R touch turns on break even logic once price has traveled one risk unit. Trail buffer as R fraction uses the last sweep as an anchor and keeps a dynamic stop at a chosen fraction of R beyond it. Cooldown after exit prevents immediate re entries. Edge Score Weights for pulse compression timer bias efficiency ratio micro to macro VWAP gate and session let you align the checklist with your style. Minimum Edge percent to suggest applies a final filter to LONG or SHORT suggestions. UI Table and markers switch the compact dashboard and the shapes. TP and SL lines and labels draw and name each level. TP1 partial label percent is printed in the TP1 label for clarity. Session shading helps with focus. Daily VWAP line is optional. Alerts The script provides alerts for Long Short Exit and for Edge percent crossing the threshold on either side. Use them to drive notifications or to sync with webhooks and your broker integration. Alerts trigger in real time and will repaint during a bar. For conservative use trigger on bar close. Recommended presets Intraday trend continuation Confirm TF fifteen minutes Entry mode Breakouts Range basis HL SMA Pulse threshold near 0.10 Compression threshold near 0.60 Timer around 18 Minimum efficiency ratio near 0.20 Minimum micro to macro near 1.00 VWAP gate enabled with distance near 0.35 Edge minimum 50 or higher Intraday mean reversion at sweeps Entry mode Reversals Pulse source Regular OHLC Compression threshold can be a little higher Maximum micro to macro near 1.60 Efficiency ratio minimum lower near 0.12 VWAP gate enabled Edge minimum 40 to 60 Swing trend continuation Signal TF one hour Confirm TF one day Range basis ATR ATR length around 14 Average range window 20 to 30 Efficiency ratio minimum near 0.18 Micro to macro windows 12 and 60 Edge minimum 50 to 70 These are starting points only. Your instrument and timeframe will require small adjustments. Limitations and honest warnings No indicator is perfect. TwinPulse will mark attractive conditions that do not always lead to profitable trades. During economic releases or very thin liquidity the assumptions behind compression and sweeps may fail. In strong gap environments the HL SMA basis may lag while ATR may overreact. Heikin Ashi pulse can help in choppy markets but it will lag during sharp reversals. Session times use the exchange time of your chart. If you switch symbol or exchange verify the windows. Edge percent is not a probability of profit. It is the fraction of satisfied gates with your chosen weights. Two traders can set different weights and see different Edge readings on the same bar. That is the design. The score is a guide that helps you act with discipline. This indicator does not place orders or manage real risk. The lines and labels show a model entry a model stop and two model targets built from the average range at entry and from recent swing points. Use them as references and not as hard rules. Always test on historical data and demo first. Past results do not guarantee anything in the future. Credits and originality All code in this publication is original and written for this indicator. The concept of the efficiency ratio originates from Perry Kaufman. The use of a daily anchored volume weighted average price is a standard industry tool. The specific combination of pulse from wick polarity strict sweep timing compression and the tunable Edge Score is unique to this script at the time of publication. If you reuse parts of the open source code in your own work remember to credit the author and contribute meaningful improvements. How to read the table at a glance Action reflects your current state. IN LONG or IN SHORT appears while a trade is active. LONG or SHORT appears when conditions for entry are met and the Edge threshold is satisfied. WAIT appears when at least one gate is missing. Session shows ON during your chosen windows. Bias shows the color of the confirmation candle. Pulse is the smoothed polarity number. Comp shows current range divided by the average range. Values below one mean compression. Edge L percent and Edge S percent show the long and short checklists as percents. Final thoughts Markets move because orders accumulate at certain prices and at certain times. The indicator tries to measure two things that often matter at those turning points. One is the existence of a hidden imbalance revealed by wick polarity and by sweeps of prior extremes. The other is the presence of energy stored in a coil that can release in the direction of a drift. Neither force guarantees profit. Together they can improve your selection and your timing. Use the defaults for a few days so you learn the personality of the signals. After that adjust one group at a time. Start with the session filter and the Edge threshold. Then tune compression and the timer. Finally adjust the regime filters. Keep notes. You will learn which weights matter for your market and timeframe. The result is a process you can apply with consistency. Disclaimer This script and description are for education and analysis. They are not investment advice and they do not promise future results. Use at your own risk. Test thoroughly on historical data and in simulation before considering any live use.

Pine Script® indicator

Updated

WASDE Dates Overview WASDE Dates — a small, focused event indicator that displays confirmed USDA WASDE release dates for 2025 on the chart and marks each release day. The indicator is designed to be a lightweight timing tool for traders who want clean visual reminders and optional alerts around USDA WASDE publications. Features • Shows official WASDE release dates for 2025 in a compact chart table. • Draws on-chart markers and a dotted vertical line on WASDE release days. • Two alert conditions you can enable in TradingView: "WASDE Day Alert" and "WASDE 24h Reminder". • Simple table position control (Top/Bottom, Left/Right) in the indicator settings. • Minimal, self-contained code — no external data feeds or permissions required. How to use 1. Apply the indicator to any chart and timeframe. 2. Use the indicator settings to choose table position. 3. Enable Alerts (if desired) via TradingView Alerts → choose “WASDE Day Alert” or “WASDE 24h Reminder”. 4. This version contains 2025 confirmed dates only — verify dates for live trading and enable alerts as needed. Design & rationale This indicator is intentionally not a technical trading signal. It is an event scheduler focused on clarity and low overhead: combine it with your existing setup to avoid being surprised by WASDE publications and to quickly inspect price action around these event dates. Limitations & disclaimer • This script shows **confirmed 2025** WASDE dates only. It does not provide trading advice or entry/exit signals. Use at your own risk. • Double-check official USDA publishing times before executing trades. • No external links or contact information are included in this description to comply with TradingView publishing rules. Feature outlook (V2) Planned V2 (future release): enhanced countdown (days → hours/minutes), optional inclusion of estimated 2026 dates marked as (TBC), and an invite-only/protected advanced version with reaction overlays (T+1/T+3) and extended alert options. V2 will be announced on this script page when ready. Changelog v1 — public release: 2025 confirmed dates, release markers, alerts, table position control.

Pine Script® indicator

11 22 33 44 55 66 77 88 99

Select market data provided by ICE Data Services. Select reference data provided by FactSet. Copyright © 2026 FactSet Research Systems Inc.Copyright © 2026, American Bankers Association. CUSIP Database provided by FactSet Research Systems Inc. All rights reserved. SEC fillings and other documents provided by Quartr.© 2026 TradingView, Inc.

More than a product

Supercharts

Screeners

Stocks
ETFs
Bonds
Crypto coins
CEX pairs
DEX pairs
Pine

Heatmaps

Stocks
ETFs
Crypto coins

Calendars

Economic
Earnings
Dividends

More products

Yield Curves
Options
Macro Maps
News Flow
Pine Script®

Apps

Mobile
Desktop

Community

Social network
Wall of Love
Refer a friend
House Rules
Moderators

Ideas

Trading
Education
Editors' picks

Pine Script

Indicators & strategies
Wizards
Freelancers

Tools & subscriptions

Features
Pricing
Market data
Gift plans

Trading

Overview
Top brokers
Brokers comparison

Special offers

CME Group futures
Eurex futures
US stocks bundle

About company

Who we are
Space mission
Blog
Careers
Media kit

Merch

TradingView store
Tarot cards for traders
The C63 TradeTime

Policies & security

Terms of Use
Disclaimer
Privacy Policy
Cookies Policy
Accessibility Statement
Security tips
Bug Bounty program
Status page

Business solutions

Widgets
Charting libraries
Lightweight Charts™
Advanced Charts
Trading Platform

Growth opportunities

Advertising
Brokerage integration
Partner program
Education program

Community

Social network
Wall of Love
Refer a friend
House Rules
Moderators

Ideas

Trading
Education
Editors' picks

Pine Script

Indicators & strategies
Wizards
Freelancers

Business solutions

Widgets
Charting libraries
Lightweight Charts™
Advanced Charts
Trading Platform

Growth opportunities

Advertising
Brokerage integration
Partner program
Education program