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Starkl7/README.md

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About

CS from IIT Roorkee. Two years validating credit scoring models at Wells Fargo.
Currently pursuing Financial Mathematics at NC State - mostly focused on market microstructure and systematic strategies.
Looking for quant trading and research roles for 2027.

What I Work On

  • Futures microstructure — ES calendar spread mean-reversion using Databento nanosecond order book; fair-value decomposition via SOFR + dividend yield
  • ML-enhanced equity strategies — XGBoost 4-quadrant L/S momentum reclassifier on Russell 2000; 10-member ensemble on 19 cross-sectional features; regime diagnostics via feature importance rotation
  • Derivatives pricing — Heston calibration, Carr-Madan FFT, options market making frameworks (Avellaneda-Stoikov / GLFT), stochastic optimal control
  • Competition — IMC Prosperity 4: ranked 42nd globally in Phase 1 (~18k teams), finished in overall top 5%

Skills

Languages: Python, SQL, SAS, R
Libraries: NumPy, Pandas, SciPy, Statsmodels, Scikit-learn, XGBoost, QuantLib, Vollib
Platforms: QuantConnect, Databento (MBP-10), Bloomberg Terminal
Methods: Time series, Monte Carlo, numerical optimization, stochastic calculus, microstructure analysis

Contact

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  1. Futures_Roll_Over Futures_Roll_Over Public

    ES futures calendar spread mean-reversion research - signal development, regime gate engineering, and IS/OOS backtest evaluation across four quarterly roll windows (Sep 2024 - Jun 2025).

    Jupyter Notebook

  2. Options_analysis Options_analysis Public

    Jupyter Notebook

  3. DeepMomentum DeepMomentum Public

    Russell 2000 long-short equity strategy: 12-1 momentum baseline extended with XGBoost quadrant reclassification, walk-forward validated 2012–2024.

    Python