QuantRocket

moonshot

Vectorized backtester and trading engine for QuantRocket

ibpythonic

IbPy-like interface for the Interactive Brokers Python API

moonchart

Performance tear sheets and backtest analysis for Moonshot

quantrocket-client

Command line interface and Python client for QuantRocket

zipline

Zipline, a Pythonic Algorithmic Trading Library

ibapi-grease

Monkey patches to grease the Interactive Brokers Python API

zipline-extensions

Zipline Extensions for QuantRocket

ib-trading-calendars

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

codeload-demo

Demo configuration files and strategy code for QuantRocket

alphalens

Performance analysis of predictive (alpha) stock factors

ibapi

pyfolio

Portfolio and risk analytics in Python

backtrader

Python Backtesting library for trading strategies

byon-dockerhub

Bring Your Own Node to automated testing on Docker Hub

research_public

Quantitative research and educational materials

auth0-discourse-plugin

Discourse plugin to authenticate with auth0.

exchange_calendars

Calendars for various securities exchanges.

jupyterlab_quantrocket_ibgui

quantrocket-trading-calendars

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

trading-calendars

Calendars for various securities exchanges.

empyrical

Common financial risk and performance metrics. Used by zipline and pyfolio.

leather

Python charting for 80% of humans.

metalsmith-broken-link-checker

Metalsmith plugin to check for internal broken links

noVNC

VNC client using HTML5 (Web Sockets, Canvas) with encryption (wss://) support.

qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

alpaca-trade-api-python

Python client for Alpaca's trade API

bcolz

A columnar data container that can be compressed.

IBC

Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest

python-bdateutil

Adds business day logic and improved data type flexibility to python-dateutil