Skip to content
View muMAJJI's full-sized avatar
๐Ÿ‘‹
welcome to my profile
๐Ÿ‘‹
welcome to my profile

Block or report muMAJJI

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
muMAJJI/README.md

Hi there ๐Ÿ‘‹, I'm Mustafa MAJJI

About Me:

  • Iโ€™m a quantitative researcher passionate about portfolio optimization, trading, data science, and risk management. Right now, Iโ€™m working on building and refining my own trading strategies.
  • If you're into algorithmic trading and looking for a partner, reach out to me โ€” let's build a solid team.

๐Ÿ“ช Contact

For any information, feedback or questions, please contact me

Thanks for visiting me

Popular repositories Loading

  1. Trading---CUSUM-FILTER Trading---CUSUM-FILTER Public

    CUSUM (Cumulative Sum) filter for detecting structural shifts in financial time series, implemented in Python

    Jupyter Notebook 3

  2. Portfolio-Optimization---Markowitz-Model-Regularization Portfolio-Optimization---Markowitz-Model-Regularization Public

    Markowitz portfolio optimization with regularized parameters, implemented in Python

    Jupyter Notebook 1

  3. Portfolio-optimization---Risk-Parity-Model Portfolio-optimization---Risk-Parity-Model Public

    Risk Parity portfolio construction in Python, emphasizing balanced risk allocation instead of equal weighting

    Jupyter Notebook 1

  4. Trading---LSTM-in-Trading Trading---LSTM-in-Trading Public

    Predicting financial time series with Long Short-Term Memory (LSTM) networks.

    Jupyter Notebook 1

  5. Portfolio-Optimization---MAD-MDD Portfolio-Optimization---MAD-MDD Public

    Robust portfolio optimization in Python using Mean Absolute Deviation and Maximum Drawdown criteria for risk control.

    Jupyter Notebook 1

  6. Trading---Pair-Trading Trading---Pair-Trading Public

    Pairs trading strategy based on statistical arbitrage and cointegration, implemented in Python.

    Jupyter Notebook 1