Virtualization

Need of Virtual Trading Environment

Most trading organizations need to test their electronic trading processes, strategies and interfacing specifications in the real-time and external trading environment before implementing them. However the testing every feature in the real-time environment requires a lot of investment as well as an ability to sustain financial losses during the testing process. Often there is a need to test specific test cases in specific market situations. It is difficult to wait until such situations arise in the market and it is unlikely that such situations, if at all they arise, can sustain until the testing completes.

Instead of risking money, efforts, time and other resources in testing the products and solutions in the actual market scenario, it is always beneficial to electronically simulate the market environment and then perform the testing in a risk free manner. One needs a flexible virtual trading environment for such simulations.

Simulating the Trading Workflow

To help clients to perform different test cases in different market scenarios, FFS has come up with virtualization solutions for exchange and market trend simulation. We are able to render different test cases for all types of market scenarios just as the clients require them.

These virtualization solutions are intended to serve all primary testing needs, avoid real-time market risks and save costs. After the successful primary testing, client can confidently go for the real-time testing. We can also provide the simulation for a specific exchange on demand. The commonly available simulation features include:

• Support for setting date/time, different order types and other trading interface parameters
• Client connectivity management
• Simulation of the trading workflow, spanning over all stages from the order initiation to order execution report and covering complete fills, partial fills, modifications and cancellations
• Support for creating the test case scenarios for testing trading algorithms
• Simulating extreme market behaviors
• Simulating market data feeds of different types
• Controlled market environment for balanced and risk free testing