charliedream1/ai_quant_trade
Ai Quant Trade
ai_quant_trade is an AI-driven quantitative trading platform that enables the development, backtesting, and deployment of trading strategies powered by machine learning and artificial intelligence. It provides a complete local environment for quantitative research, simulation, and automated live trading through brokerage APIs, supporting both historical backtesting and real-time paper trading without capital risk.
The platform distinguishes itself through a modular, event-driven architecture that separates strategy logic from execution, allowing rule-based and machine learning models to be composed and swapped without altering the trading pipeline. It includes an NLP sentiment integration that ingests news and financial reports, applying pre-trained language models to extract sentiment scores for trading signals, and a reinforcement learning training pipeline that trains agents on market data using reward signals from simulated environments. A unified data abstraction layer provides consistent access to historical and real-time market data from multiple providers, while an interactive dashboard framework lets users build custom monitoring panels with charts, metrics, and alerts. The platform also supports factor discovery and a library of known factor calculations to enhance trading signals, and an automated broker deployment tool for running custom strategies on live brokerage accounts.
Additional capabilities include predictive factor discovery, financial sentiment analysis, and tools for implementing classic rule-based strategies such as moving average crossovers. The platform covers the full lifecycle of quantitative trading—from strategy development and backtesting to paper trading and live execution—all within a single, integrated environment.