Stars
cryo is the easiest way to extract blockchain data to parquet, csv, json, or python dataframes
Building a integration between Claude AI and LaTeX editors using Anthropic's Model Context Protocol (MCP)
Full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning.
Claude Code explaining itself through Induced Introspection.
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Stocknews integrates Dash and LangChain to create an interactive dashboard for querying LLM models about stock market events.
Python framework for TradingView's Lightweight Charts JavaScript library.
A simple trade journal app built with Python Flask.
ogpf is Object based interface to GnuPlot from Fortran 2003, 2008 and later
Source code of the article Trading Cup and Handles With MarketSmith Pattern Recognition
ThinkorSwim scripts/indicators shared on https://usethinkscript.com/
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Historical data used by the Auquan backtesting toolbox
Ipython notebooks for math and finance tutorials
Pairs Trading Strategy Simulated on Russell 3000
N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.
web-based technical screener for candlestick patterns using Python and Flask
a collection of open source server components and Python libraries for financial data projects and automated trading
Candlestick Pattern Recognition with Python and TA-Lib
Candlestick Pattern Detection using Python