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  • Katowice, Poland

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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BlazejRadzik/README.md

LinkedIn Kaggle Codeforces ORCID

About Me

  • Undergraduate student in Finance & Digital Technologies at University of Economics in Katowice (Expected 2028).
  • Undergraduate student in Theoretical Mathematics at University of Silesia in Katowice (Expected 2029).

Current Focus

  • Competitive Programming: Solving daily problems on CodeForces (Current rating 1400, targeting 2000) and automating LeetCode solutions to GitHub.
  • IQC 2026: 1st place in Poland and Top 0.5% globally in Stage 1 and Stage 2 (Alpha Building).
  • IMC Prosperity 4: Ranked 646th globally out of over 18,800 teams (Top 1 manual trader in Round 1).

Publications

  • Breakdown of Market Dependence Structures Under Polycrisis Conditions: Analysis of Dynamic Correlations and Regime Instability ISBN: 978-83-973400-6-0 p.36
  • Comparative Analysis of Bi-LSTM Neural Networks and Econometric Models in Volatility Estimation ISBN: 978-83-67620-66-6 p.43
  • Hybridization of the Black-Scholes Model and Monte Carlo Simulation in the Variance Reduction Process of Option Pricing for WIG20 Index Instruments ISBN:978-83-69008-07-3 p.390

GitHub Analytics

GitHub Streak GitHub Summary

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  1. QuantRiskEngine QuantRiskEngine Public

    Risk engine with C++ Monte Carlo core and hybrid GARCH-LSTM volatility modeling.

    Python 1

  2. BiLSTM-HAR-Volatility BiLSTM-HAR-Volatility Public

    Bi-LSTM + Attention vs HAR — comparative study of deep learning and econometric models in realized volatility forecasting (SPY, EWG, EPOL, EEM)

    Jupyter Notebook 1

  3. LeetCode LeetCode Public

    A collection of LeetCode questions to ace the coding interview! - Created using [LeetHub v2](https://github.com/arunbhardwaj/LeetHub-2.0)

    C++

  4. Q-Fin-Portfolio Q-Fin-Portfolio Public

    Python