Real-time autonomous trading system

Abstract In this research we implemented a real-time trading system for trading the fluctuations in price of stocks in the stock market by using the technical analysis. The system uses trading strategies written in Python programming language to gauge the current sentiment of the stock market by various technical analysis methodologies. The developed trading system uses state-of-the art technologies like Web Sockets, PostgreSQL, Ruby on Rails Framework , Redis etc. for achieving low latency ∼ 90ms. The implemented trading system is very flexible to work with multiple and independently programmed strategies by extending a secure RESTful Application Programming Interface.