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FlorentYigbe/README.md

Hi, I'm Florent !

Business Mathematics student at the University of Mannheim. Still learning, already building.

I built Quantitative-Portfolio-Optimizer, a Python-based multi-asset portfolio optimization engine spanning equities, fixed income, and commodities, and VaR-CVaR-Simulator, a risk simulation tool for portfolio tail-risk analysis.

I'm currently running a live paper-trading portfolio on Interactive Brokers using allocations generated by my own optimization models.

Fun fact: I'm just as passionate about literature as I'm about quantitative finance !

📫 Reach me: yigbekofi@gmail.com | LinkedIn


🛠️ Tech Stack

Python Jupyter Pandas NumPy Spicy Matplotlib Seaborn

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  1. Quantitative-Portfolio-Optimizer Quantitative-Portfolio-Optimizer Public

    A quantitative portfolio optimizer

    Jupyter Notebook 1

  2. VaR-CVaR-Simulator VaR-CVaR-Simulator Public

    Monte Carlo simulation estimating a portfolio's Value at Risk and Conditional Value at Risk at 95% confidence.

    Python 1

  3. European-Call-Option-Pricing European-Call-Option-Pricing Public

    Prices an European call option using Monte Carlo simulation, validated against the Black-Scholes closed-form formula.

    Python 1