This project is a trading algorithm designed to understand trends and achieve a good risk to reward ratio. The algorithm is designed to be used with a specific financial instrument, and uses a combination of technical indicators to identify trends and potential entry and exit points.
REQUIREMENTS
Python 3.6 or later Pandas NumPy Matplotlib Ta-Lib Your preferred trading platform's API
INSTALLATION
Clone this repository to your local machine using git clone https://github.com/your-username/trading-algorithm.git Install the required dependencies using pip install -r requirements.txt Configuration
Open the config.py file and update the configuration variables to match your trading platform's API settings. Update the symbol variable with the financial instrument you want to trade. Usage
Run the main.py file to start the trading algorithm. The algorithm will use historical data to identify trends and potential entry and exit points. The algorithm will automatically place trades according to the trading strategy you've defined. Monitor the algorithm's performance and adjust your strategy as needed. Backtesting
Run the backtest.py file to test the algorithm using historical data. The backtesting script will output performance metrics and charts that can be used to refine your trading strategy.
DISCLAIMER
Trading involves risk, and there is no guarantee of profit. This trading algorithm is provided as-is, without any warranty or guarantee of performance. Always use proper risk management techniques and only trade with money you can afford to lose.