Quant Strategy Simulator

Goal: Demonstrate strategy development, backtesting, and analytics.

Stack: Python, FastAPI, Plotly, pandas, SQLite or PostgreSQL

Key Features:

• Load historical tick/minute data
• Run backtests (mean reversion, momentum, VWAP)
• Compute metrics: Sharpe, Sortino, drawdown, win ratio
• Interactive performance charts
• Export trade logs & plots
• Optional “Paper Trading Mode” using Alpaca API or Binance Testnet