Forex Trading Algorithm

This algorithm uses a combination of volume, OBV, and CMF indicators to execute trades in the EUR/USD market. It is designed to run on Python 3.8 and requires the following libraries: pandas, numpy, backtrader, ta, and pyyaml.

Getting Started

1. Install the required libraries by running pip install -r requirements.txt in your terminal.

2. Create a config.yml file with your desired parameters, including your trading strategy, time frame, and risk management.

3. Run main.py to start trading live, or run backtest.py to backtest your strategy on historical data.

Configuration

The config.yml file contains the following parameters:

• strategy: The trading strategy to use. Options include MA_cross, RSI, and MACD.
• timeframe: The time frame to trade on. Options include 1m, 5m, 15m, 1h, and 1d.
• risk_management: The risk management parameters. Options include fixed or dynamic, and include the stop_loss and take_profit parameters.

Backtesting

To backtest your trading strategy, run backtest.py in your terminal. The results will be saved to a backtest_results.csv file.

Live Trading

To start trading live, run main.py in your terminal. Make sure to adjust the config.yml parameters to suit your needs, and monitor the trading activity closely.

Disclaimer

Trading forex carries a high level of risk and may not be suitable for all investors. The algorithm provided is for educational purposes only and should not be considered financial advice. Always do your own research before making any investment decisions.