jonahhill

arctic

High performance datastore for time series and tick data

backtrader

Python Backtesting library for trading strategies

benchmark

Equal-weighted and dollar-volume-weighted benchmark strategies for Moonshot

blpapi-python

Bloomberg Python API

bqplot

Plotting library for IPython/Jupyter Notebooks

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

easy-move-resize

Adds "modifier key + mouse drag" move and resize to OSX

findatapy

Python library to download market data via Bloomberg, Quandl, Yahoo etc.

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

global-equities-eod-ib

Data collection tutorial for end-of-day global equities data from IB. Covers 18 countries.

global-market-profiles

Comparative analysis of stock market characteristics for 17 countries, including number of listings, short sale availability, volatility, distribution of sectors, etc.

handcalcs

Python library for converting Python calculations into rendered latex.

ib-trading-calendars

Trading calendars for Interactive Brokers-supported exchanges. Based on quantopian/trading_calendars.

ibapi

jonahhill

Config files for my GitHub profile.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

moonchart

Performance tear sheets and backtest analysis for Moonshot

moonshot

Vectorized backtester and trading engine for QuantRocket

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

quantrocket-client

Command line interface and Python client for QuantRocket

qval

Value strategy for US stocks modeled on Alpha Architect's QVAL ETF, using enterprise multiple and Piotroski F-Score to target cheap, high-quality stocks. Utilizes Sharadar fundamental and price data. Runs in Moonshot.

shap

A game theoretic approach to explain the output of any machine learning model.

TT_Samples

Sample code for using TT's APIs and FIX applications

vmot

Value/Momentum/Trend strategy modeled on Alpha Architect's VMOT ETF.

wsl-autostart

Support for starting the Linux services in Windows Subsystem for Linux (WSL) on Windows startup

xbbg

Bloomberg data toolkit for humans

xone

Frequently used functions for python time series analysis

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

zipline

Zipline, a Pythonic Algorithmic Trading Library