Stars
Python client for the Polymarket CLOB
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…
Collection of algorithms for online portfolio selection
Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
Algorithmic Trading in Python with Machine Learning
Portfolio optimization and back-testing.
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Trading Technologies Brokerage Plugin
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
LSTM neural networks for nowcasting economic data.
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
A Langchain app that allows you to chat with multiple PDFs
Backtest asset allocation strategies in Python with only a background in pandas necessary
PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Leveraging BERT to Improve the FEARS Index for Stock Forecasting
Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.
Fast and scalable construction of risk parity portfolios
Python package to estimate factors and information criteria of of the FRED-MD dataset. Builds and deploys to pip using github actions.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Download market data from Yahoo! Finance's API
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)