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+# XAUUSD ONNX Model Training and Backtesting Guide
+
+This guide will help you train an ONNX model for XAUUSD and backtest it.
+
+## Step 1: Install Dependencies
+
+Make sure you have all required packages installed:
+
+```bash
+cd ai
+pip install -r requirements.txt
+```
+
+If you encounter issues, install individually:
+```bash
+pip install tensorflow onnx onnxruntime tf2onnx scikit-learn pandas numpy MetaTrader5
+```
+
+## Step 2: Train the Model
+
+Train an ONNX model for XAUUSD:
+
+```bash
+python train_onnx_model.py --symbol XAUUSD --timeframe H1 --lookback 60 --epochs 30
+```
+
+**Parameters:**
+- `--symbol XAUUSD`: Trading symbol (Gold)
+- `--timeframe H1`: 1-hour timeframe
+- `--lookback 60`: Use 60 bars for prediction
+- `--epochs 30`: Training epochs (adjust based on your needs)
+
+**Expected Output:**
+- Model: `models/XAUUSD_H1_model.onnx`
+- Scaler: `models/XAUUSD_H1_scaler.pkl`
+
+**Training Time:** 5-15 minutes depending on your hardware and data availability.
+
+## Step 3: Run Backtest
+
+After training, backtest the model:
+
+```bash
+python run_xauusd_backtest.py
+```
+
+Or use the combined script:
+
+```bash
+python train_and_backtest_xauusd.py
+```
+
+## Step 4: Review Results
+
+The backtest will generate:
+- Performance summary in console
+- Equity curve chart
+- Drawdown chart
+- Monthly returns chart
+- Trades CSV file
+
+All files are saved in `onnx_xauusd_backtest/` directory.
+
+## Model Configuration
+
+The trained model uses:
+- **Input**: 60 bars × 12 features
+- **Features**: OHLC, volume, RSI, EMA, ATR, price changes, ratios
+- **Output**: Predicted next close price
+- **Architecture**: LSTM(128) → LSTM(64) → LSTM(32) → Dense layers
+
+## Backtest Strategy Parameters
+
+Default backtest parameters:
+- **Prediction Threshold**: 0.01% (minimum price change to trade)
+- **Min Confidence**: 30%
+- **Lot Size**: 0.1
+- **Stop Loss**: 50 pips
+- **Take Profit**: 100 pips
+
+You can adjust these in `run_xauusd_backtest.py`.
+
+## Troubleshooting
+
+### "Model not found"
+- Make sure you've trained the model first
+- Check that the model file exists in `models/` directory
+
+### "MT5 initialization failed"
+- Ensure MetaTrader 5 is running
+- Log into your account
+- Check that XAUUSD symbol is available
+
+### "Insufficient data"
+- Make sure you have historical data downloaded in MT5
+- Check the date range in the backtest script
+- Verify symbol name is correct
+
+## Next Steps
+
+After successful backtesting:
+1. Review performance metrics
+2. Optimize prediction threshold and confidence levels
+3. Adjust stop loss/take profit if needed
+4. Test on demo account before live trading
+5. Consider using the model in `ONNX_EA.mq5` for live trading
+
+## Files Created
+
+- `models/XAUUSD_H1_model.onnx`: Trained ONNX model
+- `models/XAUUSD_H1_scaler.pkl`: Feature scaler for normalization
+- `onnx_xauusd_backtest/`: Backtest results directory