Developing a Real-Time Automated Trading Platform with Python

Explore the development of a real-time automated trading platform using Python in this EuroPython 2016 conference talk. Dive into the creation of a general-purpose multiagent-system module utilizing Pyro and ZeroMQ, and learn how to build a platform for developing automated trading strategies with tools like Numpy, Numba, and Theano. Discover the implementation of specialized agents such as Feeder, Router, Brain, and Trader, and their roles in managing real-time market data and executing trades. Get insights into visualizing real-time market data using PyQtGraph and Qt, and understand how this Python-based ecosystem can be leveraged to create a powerful, broker-independent automated trading system.