Skip to content

Keystone AI & ML is a cutting-edge AI-powered trading system integrating deep learning, reinforcement learning, and quantum AI for fully autonomous trading. It features real-time market analysis, predictive modeling, and self-optimizing AI, supporting stocks, forex, crypto, and options trading across Alpaca, MT5, and NinjaTrader. πŸš€

License

Notifications You must be signed in to change notification settings

kalihatreese/KeyStone-Ai-and-ML

Repository files navigation

KeyStone-Ai-and-ML

Keystone AI & ML is a cutting-edge AI-powered trading system integrating deep learning, reinforcement learning, and quantum AI for fully autonomous trading. It features real-time market analysis, predictive modeling, and self-optimizing AI, supporting stocks, forex, crypto, and options trading across Alpaca, MT5, and NinjaTrader. πŸš€ πŸ“Œ Keystone AI & ML Building the Archways of Artificial Intelligence and Trade

πŸš€ Overview Keystone AI & ML is a next-generation AI-powered trading system designed for fully autonomous trading, market intelligence, and financial decision-making. It integrates deep learning, reinforcement learning, and quantum AI to ensure high accuracy, adaptability, and profitability in stocks, forex, crypto, and options trading.

This AI-driven suite includes: βœ” Keystone Trading Bot – AI-powered automated trading. βœ” Keystone Overlord AI – Reinforcement learning for strategy optimization. βœ” Financial Knowledge Graph – Real-time market intelligence. βœ” Quantum AI Execution Engine – High-speed predictive modeling. βœ” AI Sentiment Analysis – Market psychology and sentiment tracking. βœ” Multi-Platform Trading Integration – MT5, Alpaca, NinjaTrader, Pocket Option.

πŸ› οΈ Technologies Used πŸ”Ή AI & ML: TensorFlow, PyTorch, Reinforcement Learning (DQN). πŸ”Ή Data Analysis: Pandas, NumPy, Yahoo Finance API, Web Scraping. πŸ”Ή Quantum AI (Future Integration): IBM Qiskit, Google Sycamore. πŸ”Ή Trading Platforms: Alpaca API, MetaTrader 5 (MT5), NinjaTrader. πŸ”Ή Cloud & Deployment: Google Cloud, Docker, Kubernetes, GitHub Actions.

πŸ“‚ Project Structure bash Copy Edit πŸ“ keystone-trading-bot/ # AI-powered trading models πŸ“ keystone-overlord/ # Reinforcement learning optimizer πŸ“ quantum-ai-engine/ # Quantum AI predictive models πŸ“ data-scraper/ # Financial data aggregation πŸ“ market-analysis/ # AI-driven sentiment analysis πŸ“ backtesting/ # Automated strategy testing πŸ“ cloud-deployment/ # Deployment scripts for Google Cloud πŸ’» Installation & Setup 1️⃣ Clone the Repository bash Copy Edit git clone https://github.com/your-repo/keystone-ai-ml.git cd keystone-ai-ml 2️⃣ Install Dependencies bash Copy Edit pip install -r requirements.txt 3️⃣ Set Up API Keys Create a .env file and add your credentials:

bash Copy Edit ALPACA_API_KEY=your_api_key ALPACA_SECRET_KEY=your_secret_key 4️⃣ Run the Trading Bot bash Copy Edit python keystone-trading-bot/main.py πŸ›£οΈ Roadmap βœ… Phase 1: AI Trading Bot Development βœ… Phase 2: Reinforcement Learning & Optimization πŸš€ Phase 3: Quantum AI & Market Intelligence πŸš€ Phase 4: Multi-Platform Trading Expansion πŸš€ Phase 5: Full Automation & Institutional Deployment

βš–οΈ License Keystone AI & ML is proprietary software owned by ReeseLimitedLLC. Unauthorized redistribution, modification, or resale is strictly prohibited.

πŸ“œ Full licensing terms: LICENSE.md πŸ“§ For commercial licensing, contact: [email protected]

πŸ“’ Contributing We welcome contributions!

Report bugs via GitHub Issues. Fork the repo and submit pull requests. Suggest new AI strategies. πŸ“ž Contact For inquiries, partnerships, or enterprise licensing: πŸ“§ [email protected] 🏒 ReeseLimitedLLC, Goldsboro, NC

About

Keystone AI & ML is a cutting-edge AI-powered trading system integrating deep learning, reinforcement learning, and quantum AI for fully autonomous trading. It features real-time market analysis, predictive modeling, and self-optimizing AI, supporting stocks, forex, crypto, and options trading across Alpaca, MT5, and NinjaTrader. πŸš€

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published