Trading AI

A reinforcement learning-based trading system with real-time market analysis and web dashboard.

Overview

Trading AI uses machine learning models to analyze market patterns and make trading predictions. The system features:

• Real-time market data analysis
• Pattern recognition using neural networks
• Web-based dashboard for monitoring
• Technical indicator calculations
• Performance caching and optimization

Installation

1. Clone the repository:

git clone <repository-url>
cd trading-ai

2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

python main.py

Usage

The system automatically starts trading analysis and provides a web dashboard at http://localhost:5000.

Key Components

• Trading AI: Core reinforcement learning model
• Pattern Recognizer: Identifies market patterns
• Technical Indicators: Calculates market metrics
• Web Server: Provides real-time dashboard
• Performance Cache: Optimizes data processing

Configuration

Default settings:

• Trading symbol: TSLA
• Prediction window: 10 seconds
• Web dashboard port: 5000

Requirements

• Python 3.7+
• Dependencies listed in requirements.txt
• Internet connection for market data