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Diegotistical/README.md

Diego Urdaneta

  • M2 Research QR / Co-Founder
  • Accounting & Finance Student

About Me

  • Undergraduate at Universidad de La Laguna (Spain)
  • Learning Low-latency C++ systems and Math
  • Interested in HFT, Market Microstructure, ML and Volatility Modeling

Currently Working On

  • Preparing for Graduate School

Math. Code. Markets.

Let's Connect

Feel free to reach out to me at diego@achong.com

Connect with me:

diego-urdaneta-achong

Languages and Tools:

pandas python seaborn

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  1. OptionsLab OptionsLab Public

    A modular Python toolkit for advanced options pricing, volatility modeling, Greeks computation, and risk analysis. Includes Monte Carlo and Black-Scholes models, machine learning volatility surface…

    Python 2 1

  2. stochastic-control-portfolio stochastic-control-portfolio Public

    This repository implements a high-performance Merton Portfolio Problem solver developed for quantitative finance. Built from a modular PDE engine, this repo optimizes investment strategies under un…

  3. portfolio-optimization-toolkit portfolio-optimization-toolkit Public

    Portfolio Optimization Toolkit is a Python library for optimizing and backtesting portfolio strategies. It provides tools for asset allocation, risk management, and performance analysis.

    Python

  4. NeetCode150 NeetCode150 Public

    A repository for Leetcode solutions using the NeetCode 150 roadmap

    Python

  5. Learnings Learnings Public

    Here I document my learnings in my quantitative finance journey

    Jupyter Notebook

  6. CrohnsModeling CrohnsModeling Public

    CrohnsModeling is a research-driven simulation project focused on modeling the dynamics of chronic intestinal inflammation and its downstream effects using mechanistic mathematics, stochastic proce…

    Python