Stock market simulator

From Wikipedia, the free encyclopedia

A stock market simulator is a program or application that attempts to reproduce or duplicate some or all features of a live stock market on a computer so that a player may practice trading stocks without financial risk.

Contents

[edit] Types

Stock market simulators can be broken down into two major categories - financial market simulators, and fantasy simulators.

[edit] Financial simulators

Financial market simulators allow users to generate a portfolio based on real stock entries, but with fantasy money. Most of the currently active financial simulators use a delayed data feed of between 15 and 20 minutes to ensure that users cannot use their data to trade actively on a competing system. The purpose behind such a system is to let a person practice with fantasy funds in a real-world context so they can determine whether or not they would gain money investing by themselves.

[edit] Fantasy simulators

Fantasy simulators trade shares or derivatives of real world items or objects that normally would not be listed on a commodities or market exchange, such as movies or television shows. Some simulators focus on sports and have been linked to active betting and wager based systems.

[edit] Technology and implementation

Most of the online stock simulators run on either Java, JavaScript, ASP or php with a mysql database. Some of them are open source, and others are proprietary with the code being sold as valuable prediction market software. Such is the example with the HSX Virtual Specialist. This technology has been sold to major film studios such as MGM and Lion's Gate Films, as well as to the Popular Science team for use in their PPX system.[1]

Stock Market simulator engines can also be customized for other functions than just basic stock information tracking. The HSX engine has been modified to track popular science trends and also to track Youtube videos. Other applications that can be implemented with this software include popularity tracking and ranking from a set scale rather than an actual numerical value.

[edit] References

  1. ^ The Science behind PPX