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adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

afml

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

afml-mlfinance

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

barter-rs

Open-source Rust framework for building event-driven live-trading & backtesting systems

but-today-group.github.io

finance_ml

Advances in Financial Machine Learning

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

fincl

Advancing in Financial Machine Learning

fold

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour.

fracdiff

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

hft-market-making

Implementation of HFT backtesting simulator and Stoikov strategy

mizar-labs

Python library for building financial machine learning models.

mizar-labs-1

Python library for building financial machine learning models.

mizar-studio

Mizar studio provides a template for the development of new strategies

nautilus_trader

A high-performance algorithmic trading platform and event-driven backtester

research

Notebooks based on financial machine learning.

research-1

Notebooks based on financial machine learning.

timeseriescv

Scikit-learn style cross-validation classes for time series data