Tradenet A Collaborative Stock Trading System

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within the network through a machine algorithm or through manual …… “Applications of Reinforcement Learning in Online Stock Trading Systems” …

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Tradenet: A Collaborative Stock Trading System
Ali Hisham Malik Alexander G. Gray
College of Computing College of Computing
Georgia Institute Georgia Institute
of Technology of Technology
hisham@cc.gatech.edu agray@cc.gatech.edu
Abstract
Development of semi- and fully- automated trading systems is becoming increasingly
popular in the financial market. Our aim is to develop a scalable lightweight distributed
trading system that is self-configuring, self-healing, and provides fast execution of trades
with high availability. We used a peer-to-peer (P2P) platform which would allow for the
flexibility of non-static nodes dispersed across the globe to securely communicate with
each other and configure accordingly. A P2P network also allows machines in the
network to discover available services. In such a domain, the machines in the network
can be fine-tuned to heal from faults in the network, the most damaging being the
network partitioning issue. These features were found very useful for development of our
trading system.
1 Introduction
The Internet has had a significant impact on the financial markets. Several stock brokers provide API
connectivity for executing trades using a trading software. This has led to a strong interest in developing an
automated…