TFW-1 2011.10

Forecast: The comparative analysis of simulations shows that systems based on predicted entry-exit signals in average generate a better profit in around 70% cases than random-entry trading systems. TFW-1 enables forecasts to help to increase a trading profit. Predicted ETF shares prices are expressed in percentages - a relative change from the last trading day of the previous week. The prediction is provided by cloud computing. It is calculated on server-side by a robust artificial intelligence system.

Simulation (back-testing) and risk management: TFW-1 simulation allows testing generated predictions combined with buy-sell signals. Since sometimes predictions can fail, to preserve capital (principal amount) in a volatile market, the software enables simulating different risk management approaches.

To optimize strategy in a particular case, the software enables testing a given idea or/and finding automatically the best set of algorithms - depending on the character of particular trading shares and current market condition, some ideas can work better than others. It is especially important for exit points to minimize losses (and ultimately maximize an overall profit). Each algorithm may have customizable parameters that can also be optimized. All optimizations can be done either automatically by scanning 64 possible logical combinations and adjusting numerical parameters (if applicable) or manually.

Forward testing and assets management: TFW-1 allows monitoring the simulated or actual completed transactions, reflecting total trading activity, and evaluating the success of trading in overall. It enables working with many separate data files that is convenient in case of managing multiple assets and keeping the archives of older activities.

Requirements:	No special requirements
Release Date:	October 01, 2011
Platforms:	Windows 2000, Windows XP , Win7 x32,Win7 x64,WinServer,WinVista,WinVista x64
Keyword:	Algorithms,  Cloud Computing,  Etfs,  Forecast,  Simulation,  Software For Trading
Users rating:	0/10