Mipham Quant
AI-powered quantitative trading platform. Intelligent strategy research, backtesting, and execution with multi-model AI assistance — built for individual quants and professional traders.
Platform Capabilities
AI Strategy Engine
Multi-model AI assists in designing, optimizing, and validating trading strategies. Leverage LLM reasoning for factor discovery and signal generation.
High-Fidelity Backtesting
Event-driven backtesting engine with realistic slippage, commission, and market impact modeling. Validate strategies across historical data before live deployment.
Real-Time Execution
Low-latency order execution with smart routing. Connect to major brokers and exchanges via standardized APIs with built-in risk controls.
Risk Management
Comprehensive risk analytics including VaR, CVaR, stress testing, and scenario analysis. Real-time position monitoring with automated stop-loss and take-profit rules.
Multi-Asset Coverage
Trade equities, futures, options, forex, and digital assets from a unified interface. Cross-asset correlation analysis and portfolio optimization.
Data Pipeline
Ingest and normalize market data from multiple sources. Clean, store, and serve historical and real-time data for model training and live trading.
Tech Stack
Python 3.12+ · FastAPI backend · Polars/Arrow data pipeline · PyTorch ML · Event-driven backtesting engine · Redis caching · PostgreSQL time-series · Docker + Kubernetes deployment · Grafana monitoring