Quantitative Trading Simulator

Overview

Developed an algorithmic trading simulator in Python using Pandas & NumPy to backtest multi asset strategies on historical data.

Technical Details

Integrated REST APIs for live market feeds and visualized results with Plotly to track performance metrics like Sharpe ratio & drawdown. Optimized portfolio allocation via Monte Carlo simulations, improving expected returns under risk constraints.

Technologies