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Quantitative Market Analysis Platform: High-Fidelity Equity Simulation
Description
The Quantitative Market Analysis Platform provides a high-fidelity environment where aspiring quantitative analysts can test hypotheses and simulate complex equity trades without financial risk. I built a vectorized state engine using NumPy and Pandas that recalculates portfolio metrics across hundreds of symbols in milliseconds.
I implemented algorithms simulating "Price Impact" — how a large buy order moves the market. The platform includes technical indicators (Moving Averages, RSI, Bollinger Bands) built from scratch for backtesting.
Technologies Used
Python
NumPy
Pandas
Matplotlib
Real-time APIs
How I Did It
I focused on performance by using vectorized operations for all financial calculations and simulated market dynamics like price impact.
Media
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