Stars
workshop materials to build intelligent solutions on Open AI
This repository hosts the code behind the online book, Coding for Economists.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Github Pages template for personal, portfolio-based websites; forked from mmistakes/minimal-mistakes
ThetaGang is an IBKR bot for collecting money
A package to work with SEC data. Incorporates datamule endpoints.
The official Python client library for the Polygon REST and WebSocket API.
Python code to download and process FDIC Summary of Deposits
Replication package for “Real-Time Inequality” (Blanchet, Saez and Zucman, 2022)
A minimalist, responsive portfolio theme with Bootstrap, jQuery and much more
Matplotlib styles for scientific plotting
Automates IB Gateway start, stopping and restarting.
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Python sync/async framework for Interactive Brokers API (replaces ib_insync)
Python training for business analysts and traders
py-econometrics / stargazer
Forked from StatsReporting/stargazerPython implementation of the R stargazer multiple regression model creation tool
Julia Tutorial for Finance and Econometrics Students
Empirical Finance Course (PhD, Julia code)
A PhD course in Applied Econometrics and Panel Data
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
High dimensional fixed effect absorption with Python 3