Ali Khabazian
@Alikhabazian0M.S. Student in Physics of Complex Systems - Econophysics - Application of methods from Statistical Physics to Finance - Science of Networks
Language Breakdown
Lines of code distribution across 13 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
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Repos
14
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Denny Britz
@dennybritz
Max Margenot
@mmargenot
Matt Adereth
@adereth
Michael Halls-Moore
@mhallsmoore
Philippe Rémy
@philipperemy
Top Repositories
Quant research pipeline for XAUUSD regime classification using macroeconomic features, Random Forest, Temporal Convolutional Networks (TCN), walk-forward validation, and trading-system backtesting.
Production-style Persian RAG system with BGE-M3 retrieval, ChromaDB, FastAPI, Streamlit, Gemini API, Docker Compose, and retrieval evaluation.
AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews.
A repo for quant experience
we gathered #xauuud data from twitter. both live and past tweets from 2020.
in this project we use logistic regression, catboost, random farest, LightGBM and TCN on intraday Gold prices to detect market classes. we used resampled data other methods to compare these models.
This project applies three statistical models—ARIMA, ARIMA-GARCH, and GARCH—to analyze Bitcoin price dynamics. The implementation is inspired by An Introduction to Econophysics: Correlations and Complexity in Finance by Rosario N. Mantegna and H. Eugene Stanley (Chapter 10).
Open Source Impact
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