A stock trading bot with signal generation and automated trading capabilities through Alpaca Markets(paper only/fake money, you can make it for real money just plug in your live trading API key and secret key from alpaca).

• Main Interface: auto_interface.py - The primary GUI application with both signal generation and automated trading abilities
• Command Line Auto Trader: auto_trader.py - Command line version of the automated trading system
• API Integration: trader.py - Connects to Alpaca Markets API for order execution

• Data Fetching: Retrieves historical stock data using yfinance
• Advanced Trading Strategies:
  • Enhanced Moving Average Crossover
  • RSI Strategy with dynamic thresholds
  • Momentum Strategy with volume confirmation
  • Breakout Strategy (requires 30+ data bars)
  • Mean Reversion Strategy (requires 30+ data bars)
  • Dual Strategy System
• Visualizations: Generates charts with trading signals
• Automated Trading: Executes trades through Alpaca Markets API
• Strategy Selection: Automatically picks the best strategy based on market conditions
• Risk Management: Position sizing, maximum positions limit, stop losses

1. Clone the repository:

git clone https://github.com/yourusername/StockTradingBot.git
cd StockTradingBot

2. Install dependencies:

pip install -r requirements.txt
pip install alpaca-trade-api

3. Set up your Alpaca API credentials in a .env file:

ALPACA_API_KEY=your_api_key_here
ALPACA_SECRET_KEY=your_secret_key_here
ALPACA_BASE_URL=https://paper-api.alpaca.markets

Launch the GUI interface with all features:

python auto_interface.py

This provides:

• Dashboard tab for viewing signals
• Auto-Trading tab for configuring and monitoring automated trading
• Charts tab for viewing visualizations
• Settings tab for configuration
• Logs tab for monitoring activity

Run the automated trader from the command line:

python auto_trader.py --symbols AAPL MSFT --interval 1h --period 3mo --market-regime auto

Options:

• --symbols: List of stock symbols to trade
• --interval: Data interval (1d, 1h, 5m)
• --period: Data period (1mo, 3mo, 6mo, 1y)
• --update-interval: Time between updates
• --no-trade: Run in signal-only mode
• --market-regime: Strategy bias (trending, ranging, auto)
• --risk-percent: Portfolio percentage to risk per trade
• --max-positions: Maximum number of active positions

1. Data Requirements:

   • Breakout and Mean Reversion strategies require at least 30 bars of data
   • Use longer periods (3mo or 6mo) with shorter intervals (1h) for sufficient data points
   • Initially disable complex strategies in Settings → Strategy Selection

2. Starting Settings:

   • Interval: 1h
   • Period: 3mo
   • Risk %: 0.5-2%
   • Enabled Strategies: MA Crossover, RSI, Momentum (initially)

See AUTO_TRADING_GUIDE.md for comprehensive instructions on setting up automated trading.

This bot is for educational purposes only. Don't use it for real trading without proper testing and validation. The author is not responsible for any financial losses.