CS222_Automated Stocks Trading Bot

Summary

This project proposes the creation of an Automated Trading Bot that will use a trading algorithm designed in Python to make trades based on market data. The bot will connect to the Alpaca API to gather the necessary data and make trades on behalf of the user. The results of the trades will be displayed on a web interface designed using Streamlit for users to monitor the performance of the bots.

Technical Architecture

Trading Algorithm (Developed by Yunfan Hu):

• API Class: This class handles the login and logout process and provides functions to manage the trading bot.
• Execution Class: This class is responsible for creating and managing instances of the trading bot, as well as handling trading activities.
• Events Class: This class handles log-related tasks, such as displaying and deleting logs.
• BOT Class: The core trading bot class that implements the trading strategy, interacts with the Alpaca API, and performs trading operations.
• Alpaca API: The Alpaca trading platform API that your application interacts with to fetch market data, submit orders, and manage positions.
• Logging Module: A module for logging messages and events related to the trading bot's activities.
• Data Storage: Represents the storage for log data.

Web-UI Interface (Developed by Jingyan Hu and Xinyi Ye):

• Constructed with Streamlit API, intergrating all needed functionalities from the backend and making them user friendly.
• Represents real-time interactive stock trends with TradingView's graph feature
• Allows users to view trading status and adjust bot settings in a simplified manner

Alpaca API (Developed by Alpaca):

• Gathers real-time market data for the trading algorithm
• Interactable with the trading algorithem through HTTP requests

Installation Instruction

• Clone this repository into your machine with appropriate python environment installed (Python 3.10.6 is recommended)
• Install all required packages with pip install -r ./src/candle/requirement.txt
• Follow the instruction to install Ta-Lib
• To run the application: python3 -m streamlit run .\src\web\st_gui.py or streamlit run .\src\web\st_gui.py

Group Members

• Tass Hu: working on most of the backend part, including the algorithm of trading bot, fastAPI, and Alpaca API connections
• Chaoxiong Liang: working on data visualizations of the performance of algos, creating real-time, interactive graphs based on streaming data
• Jingyan Hu: working on the web interface, gui design, and design of overall structure of the web, integrating functionalities that require user access
• Xinyi Ye: working on the web interface, integrating functionalities that require user access