# US_rates_4_forex # US Rates WFO: Beta-Driven Forex Strategy ## Overview **US_Rates_WFO** is a quantitative Expert Advisor (EA) for MetaTrader 5. It trades major currency pairs (EURUSD, USDJPY, etc.) by analyzing their statistical relationship with the US Bond Market (using **TLT** as a proxy for US Treasury yields). Unlike static strategies, this EA utilizes **Walk-Forward Optimization (WFO)**. Before every trade, it runs an internal simulation on recent price history to determine the optimal statistical lookback period for the current market regime. ## Key Features * **Intermarket Analysis:** Trades Forex based on the flows of the US Treasury Bond market. * **Self-Optimizing (WFO):** Automatically adjusts its `Beta_Period` daily to fit the most recent market behavior. * **Statistical Filtering:** Filters trades based on Correlation coefficients and Economic Theory (optional). * **Volatility-Based Risk:** Stops and Targets are dynamic, based on the Average True Range (ATR). * **Darwinex Ready:** Uses `ORDER_FILLING_IOC` for compatibility with institutional liquidity pools. ## Strategy Logic ### 1. The Core Hypothesis The strategy assumes that currency pairs react to changes in US Interest Rates. * **TLT (20+ Year Treasury Bond ETF)** is used as the proxy. * **Theory:** When TLT falls, Yields rise -> USD often strengthens. When TLT rises, Yields fall -> USD often weakens. ### 2. The Mechanics 1. **Data Gathering:** Every day at `Open_Hour` (default 02:00 Server Time), the EA fetches price history for the FX pair and TLT. 2. **Walk-Forward Optimization:** * The EA looks back `Opt_Lookback_Days` (default 40 days). * It simulates the strategy using Beta periods ranging from 10 to 40 days. * It selects the specific Beta period that would have been most profitable over this recent window. 3. **Signal Generation:** * It calculates the **Beta** (sensitivity) and **Correlation** using the optimized period. * It measures the previous day's return of TLT. * **Forecast = Beta × TLT_Return**. 4. **Execution:** If the forecast direction is strong and correlation is high, a trade is opened. ## Input Parameters ### Asset Proxies * `Bond_Symbol`: The ticker for the bond ETF. **Must be in Market Watch**. Default: `TLT`. ### Self-Optimization (WFO) * `Do_Self_Optimize`: If `true`, the EA ignores the fixed `Beta_Period` and finds the best one dynamically. * `Opt_Lookback_Days`: The "Training Window" size. How far back to test parameters (e.g., 40 days). * `Opt_Beta_Start` / `End`: The range of parameters to test (e.g., test lookbacks between 10 and 40 days). ### Risk Management * `Risk_Percent`: Percentage of Account Equity to risk per trade. * `SL_ATR_Mult` / `TP_ATR_Mult`: Size of Stop Loss and Take Profit relative to daily volatility. ## Requirements 1. **MetaTrader 5 Platform.** 2. **Data:** You must have the **TLT** symbol (iShares 20+ Year Treasury Bond ETF) available in your broker's Market Watch. 3. **Liquidity:** Designed for major pairs (EURUSD, USDJPY, GBPUSD, AUDUSD, USDCAD, USDCHF). ## Installation 1. Download the `.mq5` file to your `MQL5/Experts` folder. 2. Compile in MetaEditor. 3. Ensure `TLT` is added to your Market Watch in the terminal. 4. Attach the EA to a chart (Timeframe does not matter, logic is D1-based). ## Disclaimer *This software is for educational purposes only. Past performance (even with WFO) does not guarantee future results. Trading Forex involves substantial risk.*