AI-Trade-Bots

AI-Trade-Bots is a Python-based collection of algorithmic trading bots implementing various trading strategies using machine learning principles. Each bot is modularly designed and provides a different perspective on automated trading in financial markets.

Table of Contents

• Features
• Bot Strategies
  • 1. First Trade Bot
  • 2. Buy & Hold Bot
  • 3. Buy on Dip Bot
  • 4. Extreme Trade Bot
• File Structure
• Setup Instructions
• Usage
• Dependencies
• License

Features

• Modular codebase with separate folders for each trading strategy
• Basic and advanced strategies: from "buy & hold" to "extreme condition trading"
• Integration-ready for broker APIs (e.g., Alpaca)
• Easily extendable for more strategies or AI models

Bot Strategies

1. First Trade Bot

A basic template bot that introduces the structure used across other bots. It is useful for understanding how the trading environment is set up.

Files:

• AITradeBot.py: Core logic for decision-making
• TradeBotML.py: Placeholder for potential ML integration
• setup_trading_bot.py: Entry point to initialize and run the bot

2. Buy & Hold Bot

Implements a passive investment strategy that buys and holds an asset regardless of price fluctuations. Ideal for long-term investors.

3. Buy on Dip Bot

Executes trades when there’s a noticeable price dip, aiming to buy assets at a discount and sell once they recover. Includes logic for detecting dips and responding dynamically.

4. Extreme Trade Bot

Targets highly volatile market conditions. This bot may use thresholds or ML models to detect when volatility is unusually high and make trades accordingly.

File Structure

AI-Trade-Bots-main/
│
├── .gitignore
├── LICENSE
├── README.md
│
├── first_trade_bot/
│   ├── AITradeBot.py
│   ├── TradeBotML.py
│   └── setup_trading_bot.py
│
├── buy&hold_trade_bot/
│   ├── AITradeBot.py
│   ├── TradeBotML.py
│   └── setup_trading_bot.py
│
├── buy_on_dip_trade_bot/
│   ├── AiTradeBot.py
│   ├── TradeBotML.py
│   └── setup_trading_bot.py
│
└── extreme_trade_bot/
    ├── AITradeBot.py
    ├── TradeBotML.py
    └── setup_trading_bot.py

Setup Instructions

1. Clone the repository or unzip the project.
2. Navigate into any strategy folder (e.g., cd buy_on_dip_trade_bot).
3. Run the setup_trading_bot.py file to install dependencies and initialize the environment:

python setup_trading_bot.py

4. Creates a .env file in the root of your strategy folder and add your Alpaca API keys:

ALPACA_API_KEY=your_api_key
ALPACA_SECRET_KEY=your_secret_key
ALPACA_BASE_URL=https://paper-api.alpaca.markets/v2

Note: The trading bot is designed to work with Alpaca’s brokerage API. You must create an Alpaca account and generate API keys to connect.

Usage

Each bot runs independently by executing its setup_trading_bot.py file. Trading logic and ML enhancements can be customized in AITradeBot.py and TradeBotML.py.

Dependencies

These are required for most bots. Additional libraries may be needed depending on your modifications.

pip install numpy pandas scikit-learn matplotlib yfinance python-dotenv alpaca-trade-api

License

This project is licensed under the MIT License. See LICENSE for more information.

Disclaimer

This trading bot is provided for educational and informational purposes only. By using this software, you acknowledge and agree that:

• I am not a financial advisor.
• This software does not constitute financial or investment advice.
• You use this software at your own risk.
• I am not responsible or liable for any losses, damages, or consequences resulting from the use of this software.

Always do your own research and consult a licensed financial advisor before making investment decisions.