###Trading Bot for Webull - ReadMe
Overview
This trading bot is designed to automate trading on Webull using an EMA crossover strategy with stop loss and trailing stop loss features. The bot continuously fetches market data, calculates indicators, generates trade signals, and executes trades based on predefined rules.
Features
Fetching Historical Data The fetch_historical_data function retrieves historical price data for the specified ticker and interval (1-minute chart).
Calculating EMAs The calculate_ema function calculates the 9, 50, 113, and 200 period EMAs.
Generating Signals The generate_signals function generates buy and sell signals based on the EMA crossover strategy specified. It includes logic for taking profits.
Executing Trades The execute_trade function executes buy or sell orders based on the generated signals. It handles both opening new positions and closing existing ones.
Main Function The run_bot function ties everything together and executes the bot for the specified ticker and parameters.
Customization
Parameters Adjust ticker, interval, count, and windows parameters in the run_bot function call as needed.
Order Quantity Customize the quantity in the execute_trade function.
Strategy Adjust the signal generation logic in the generate_signals function as per your strategy requirements.
Note
This example assumes you have basic knowledge of trading and using APIs. Ensure to test the bot thoroughly with a paper trading account or in a controlled environment before using real money. Implement proper error handling, logging, and risk management for production use. By following these steps, you should have a basic, customizable trading bot that you can integrate with Webull and modify as needed. Version 2.0 Enhancements
Logging The logging module is used to record significant events, errors, and trade executions. This helps in tracking the bot's activity and debugging issues.
Error Handling Each function includes a try-except block to catch and log exceptions without crashing the bot.
Continuous Execution The while True loop ensures the bot runs continuously, fetching new data and executing trades every minute.
Next Steps
Environment Variables Use environment variables for sensitive information like login credentials.
Advanced Risk Management Implement more sophisticated risk management techniques tailored to your trading strategy.
Monitoring and Alerts Set up real-time monitoring and alerts (e.g., via email or SMS) for critical events or anomalies.
Backtesting Backtest your strategy with historical data to ensure its viability before live trading.
By following these steps and considering the enhancements, you can create a robust and safer trading bot to automate your trading strategy with Webull.
Version 3.0 Key Enhancements
Stop Loss Implements a maximum stop loss of 3.50 points from the entry price.
Trailing Stop Loss Implements a trailing stop loss that activates once the profit is at least 3 points above the entry price. The trailing stop loss is set at 5 points from the current price.
Continuous Execution The bot runs continuously, fetching new data and making trading decisions every minute.
Logging Detailed logging of all significant events, including order placements and stop loss adjustments.
Error Handling Error handling is in place to log and manage unexpected issues without crashing the bot.
Notes
Risk Management This example demonstrates basic risk management. You should further refine and backtest the strategy to suit your specific needs.
API Limits Be aware of Webull API rate limits and ensure your bot operates within those limits to avoid getting blocked.
Environment Variables Consider using environment variables or secure methods to store sensitive information like API credentials.
By incorporating these features, the bot can manage trades more effectively, minimizing losses and locking in profits based on the defined stop loss and trailing stop loss strategies.