mlfinpy and fin-ml
These are ecosystem siblings within the financial ML space—mlfinpy provides a specialized ML toolbox for finance implementation, while fin-ml offers broader data science blueprints and patterns that could incorporate or complement mlfinpy's algorithms.
About mlfinpy
baobach/mlfinpy
Mlfin.py is an advance Machine Learning toolbox for financial applications in Python.
This tool helps financial professionals apply advanced machine learning techniques to market data for strategy development. It takes raw financial data (like tick data) and transforms it into structured datasets for analysis, enabling the creation of robust trading algorithms. Quantitative researchers, algorithmic traders, and data scientists in finance are the primary users.
About fin-ml
tatsath/fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
This project provides practical, ready-to-use examples for applying machine learning and data science techniques to financial challenges. It takes financial datasets as input and demonstrates various analytical outputs, such as portfolio optimization, risk assessment, or trading strategies. Financial analysts, quantitative traders, and portfolio managers will find these blueprints useful for enhancing their decision-making processes.
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