Event-Drıven Trading System using Python

Event-Driven Trading System using Python This project implements an Event-Driven Trading System using Python, designed to simulate essential operations involved in trading, including price updates, buy/sell orders, and stop-loss executions. The system models a cryptocurrency exchange platform with active traders who place orders and manage their investments.

Features of the Project: Price Updates 📈 The system generates random price updates for cryptocurrency assets and keeps the market dynamic. Traders receive real-time price changes that help them make trading decisions.

Trading Operations 📊 Traders can place buy/sell orders for different cryptocurrencies. The system processes these orders and updates the trade history accordingly.

Stop-Loss System ⛔ To minimize losses, traders can set stop-loss orders. If the price drops below a set threshold, the system automatically triggers a sell order to prevent further loss.

Trade History 📜 The system keeps track of all executed trades and stores the transaction history for future reference. Traders can view their past trades and analyze their performance.

How to Run the Project: To run the Event-Driven Trading System on your local machine, follow the steps below:

https://github.com/Akiff2834/edp-trading-system

Conclusion: This project demonstrates how an event-driven architecture can be applied in the world of trading. The system handles dynamic price updates and trading orders efficiently, making it a useful prototype for building more complex financial systems in the future.

Feel free to fork the repository, contribute, and make improvements to the project. If you have any questions or suggestions, feel free to open an issue on the GitHub page