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Quantitative Research 📈

Quantitative Research 📈

Algorithmic Trading Projects & Tools.

Algorithmic Trading Projects & Tools.

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Explore analytical mastery in quantitative research and algorithmic trading, powered by Python, rigorous backtesting, and the robustness of Excel.

Explore analytical mastery in quantitative research and algorithmic trading, powered by Python, rigorous backtesting, and the robustness of Excel.

Idris Paul Kwaya leverages statistical methods, automation, and data-driven strategies for financial innovation.

Idris Paul Kwaya leverages statistical methods, automation, and data-driven strategies for financial innovation.

Built Tool for Risk Calculation

Build Risk Calculator

Calcualating Risk Management

Calculating Risk Management

Machine Learning(ML)

Built Software for Understanding ML

Built Software for Understanding ML

Backtesting

Algorithm Proofs

Algorithm Proofs

Approach & Tools

Idris Paul Kwaya applies a systematic, data-centric approach to quantitative trading using Python for model development, pandas for data processing, and matplotlib for visualizing performance. Extensive backtesting ensures robust strategies before live deployment.

Excel is used for rapid prototyping, what-if analysis, and as a control panel for strategy tweaks. Automation links spreadsheet workflows with Python scripts for transparency and precision.

Each project showcases reproducible research, clean code, and well-documented processes. You can explore code, backtest results, and even demo select strategies via GitHub or live apps.

Explore all quant projects.

Explore all quant projects.

See full portfolio, code, and results.

See full portfolio, code, and results.

See full portfolio, code, and results.

View Quant Portfolio