Quant Trading Python Packages

jupyter-quant

A dockerized Jupyter quant research environment.

tick-vault

Python library for downloading and processing Dukascopy historical tick data (Forex, crypto, metals). Supports resume-capable downloads, automatic gap detection, proxy rotation, and efficient pandas integration for backtesting and quantitative analysis.

screamer

Screamingly fast streaming indicators with C++ performance and Python simplicity.

darwinexapis

Python wrapper for Darwinex APIs

volatility-trading

Systematic Volatility Research and Backtesting for equity options

quanttrader

Backtest and live trading in Python

openctp-client

Clients of openctp-ctp