WORK IN PROGRESS

Alpaca ML Crypto Stock Analysis

This repository is a group project for CPE-595 that leverages the Alpaca API to fetch cryptocurrency/stock data and uses three different machine learning algorithms to analyze and predict market trends. The project includes data fetching, preprocessing, and training.

Features

• Fetch crypto/stock data using the Alpaca API
• Preprocess data for machine learning
• Train model to predict stock prices
• Visualize actual vs predicted stock prices

Requirements

• Python 3.8+ (please note that this project uses tensorflow and at the time of writing this, only supports Python 3.9-3.12)
• Alpaca API key and secret
• Required Python packages (listed in requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/alpaca-ml-crypto-stock-analysis.git
   cd alpaca-ml-crypto-stock-analysis

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install the required packages:

   pip install -r requirements.txt

4. Create a .env file in the root directory and add your Alpaca API credentials:

   ALPACA_API_KEY=your_api_key
   ALPACA_SECRET_KEY=your_secret_key

Usage

1. Run the main script:

   python main.py

2. The script will fetch cryptocurrency data for BTC/USD, train an LSTM model, and plot the actual vs predicted stock prices.

Project Structure

• main.py: Main script to fetch data, train the model, and visualize results.
• requirements.txt: List of required Python packages.

License

This project is licensed under the MIT License. See the LICENSE file for details.