Algo-Trading using Python

Benefits

Develop strategies in Python & R with supported technology(features, libraries, indicators, charts etc)

Libraries

Pre-built advanced libraries for using and implementing strategies and backesting with historical data.

Bridge

High performance bridge that talk to servers directly over web-socket in-process, inter-process or multiprocessors.

Server

PUSH/PULL pattern for sending and receiving information from teh server to clients for exchanging data on demand.

Integrated libraries

numPy

Scipy

Pandas

Quantdsl

Statistics

pyfin

Vollib

QuantPy

Ffn

Pynance

Backtesting& trading

TA-Lib

Trade

Zipline

Analyzer

Backtrader

Pybacktest

Finmarketpy

Risk analysis

Pyfolio

Qfrm

Empyrical

VisualPortfolio