GRID - Data Collection & Trading Infrastructure

This repository contains two main projects for stock market data and trading:

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📊 Stock Data Collection System (Root Level)

A production-ready, enterprise-grade system for collecting and managing stock market data from multiple sources.

Quick Start

# Docker deployment
docker-compose up -d

# Check health
curl http://localhost:8000/health

# Access monitoring
# Grafana: http://localhost:3000
# Prometheus: http://localhost:9090

Key Features

• Multi-source data collection (Alpha Vantage, yfinance)
• PostgreSQL-backed state persistence
• Prometheus metrics & Grafana dashboards
• Automated backups and recovery
• Health check endpoints
• Production-ready containerization

Documentation

• Production Deployment Guide - Complete deployment instructions
• Production Readiness Checklist - Pre-launch verification
• Production README - Features and operations guide

Directory Structure

GRID/
├── continuous_data_collection/    # Main data collection package
│   ├── api/                       # Health check & metrics API
│   ├── core/                      # Core collection logic
│   ├── collectors/                # Data source collectors
│   ├── storage/                   # Data persistence layers
│   ├── monitoring/                # System monitoring
│   └── utils/                     # Utility functions
├── config/                        # Configuration files
├── monitoring/                    # Prometheus & Grafana configs
├── scripts/                       # Deployment & maintenance scripts
├── tests/                         # Test suite
├── data/                          # Data storage (gitignored)
├── logs/                          # Log files (gitignored)
├── Dockerfile                     # Container image
├── docker-compose.yml             # Multi-service orchestration
└── requirements.txt               # Python dependencies

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🤖 Trading Bot (projects/TradingBOT/)

An AI-powered automated trading system with advanced features for stock market trading.

Location

All trading bot code is in: projects/TradingBOT/

Features

• AI/ML-based trading strategies
• Multi-model ensemble approach
• Real-time market data integration
• Risk management systems
• Backtesting framework
• Performance monitoring

Navigate to Trading Bot

cd projects/TradingBOT
# See TradingBOT/README.md for more info

Trading Bot Structure

projects/TradingBOT/
├── src/                           # Source code
│   ├── ai/                        # AI models & strategies
│   ├── data_collection/           # Market data collection
│   ├── trading/                   # Trading execution
│   ├── risk_management/           # Risk controls
│   └── monitoring/                # System monitoring
├── tests/                         # Test suite
├── config/                        # Configuration
├── models_archive/                # Trained AI models
├── artifacts/                     # Training artifacts
└── README.md                      # Trading bot documentation

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🗂️ Project Organization

Root Level (GRID/)

Purpose: Production stock data collection infrastructure

Use Cases:

• Collecting historical stock data
• Building data pipelines
• Maintaining clean, quality stock data
• Providing data to downstream systems

projects/TradingBOT/

Purpose: AI-powered trading system

Use Cases:

• Automated trading strategies
• Portfolio management
• Risk management
• Performance analysis

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🚀 Getting Started

For Data Collection

# 1. Configure environment
cp .env.example .env
nano .env  # Add API keys

# 2. Start services
docker-compose up -d

# 3. Monitor collection
docker-compose logs -f collector

For Trading Bot

# Navigate to trading bot
cd projects/TradingBOT

# Follow trading bot specific README
cat README.md

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📋 System Requirements

Data Collection System

• Python 3.11+
• Docker & Docker Compose
• PostgreSQL 15+
• 8GB+ RAM, 4+ CPU cores
• 100GB+ storage

Trading Bot

• Python 3.10+
• GPU recommended for AI models
• Real-time market data access
• See projects/TradingBOT/README.md for details

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🔧 Development

Data Collection Development

# Install dependencies
pip install -r requirements.txt

# Run tests
pytest tests/

# Run locally
python -m continuous_data_collection.main

Trading Bot Development

cd projects/TradingBOT
# See TradingBOT README for dev setup

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📊 Monitoring

Data Collection Monitoring

• Health: http://localhost:8000/health
• Metrics: http://localhost:8000/metrics
• Grafana: http://localhost:3000
• Prometheus: http://localhost:9090

Trading Bot Monitoring

• See projects/TradingBOT/ for monitoring setup

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🤝 Contributing

1. Choose the appropriate project:
   • Data collection: Root level
   • Trading: projects/TradingBOT/
2. Create a feature branch
3. Make changes with tests
4. Submit pull request

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📝 License

MIT License - See LICENSE file for details

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📞 Support

• Issues: GitHub Issues
• Documentation: See README files in each project
• Email: support@yourcompany.com

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Last Updated: 2025-10-29 Version: 2.0.0 (Reorganized Structure)