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aryanbonigala/README.md

Hi 👋, I'm Aryan Bonigala

Quant Finance & AI — building systematic trading strategies

🚀 About Me

  • 🔭 Currently building Pairs Trading Algorithms & backtesting frameworks
  • 📈 Passionate about Quantitative Finance, Algorithmic Trading, and AI
  • 🎯 Actively seeking Quant Research (QR) & Quant Trading (QT) opportunities for Summer 2026
  • 🌱 Learning Stochastic Calculus & Machine Learning for Trading
  • 📫 Contact me: ab12242@nyu.edu
  • ⚡ Fun fact: I’m a competitive tennis player 🎾

🌐 Connect With Me

LinkedIn

🛠 Languages & Tools

Python Java NumPy Pandas Matplotlib

📂 Highlighted Projects

  • 🔹 FluxBT – A modular backtesting engine with vectorized execution, custom signal integration, and support for multi-strategy analysis.
  • 🔹 Pairs Trading Strategy – Statistical arbitrage framework with cointegration testing, hedge ratio estimation, and z-score mean-reversion signals.
  • 🔹 SMU Final Trading Project – End-to-end trading system prototype combining strategy research, backtesting, and reporting for academic evaluation.

📊 GitHub Stats

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  1. FluxBT FluxBT Public

    Python

  2. Pairs-Trading Pairs-Trading Public

    Python

  3. Traders-SMU/traders-smu-final-project-submission-aryanbonigala Traders-SMU/traders-smu-final-project-submission-aryanbonigala Public

    traders-smu-final-project-submission-aryanbonigala created by GitHub Classroom

    Python