Used TFW1 for Windows?


Editors’ Review

Download.com staff
TFW-1 is a stock market trading system designed to maximize profit and minimize risk. It uses server-side AI and cloud computing for ETF price predictions, offering back-testing and robust risk management simulations.
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TFW1 0/1
  • Pros

    • AI system provides predicted entry-exit signals.
    • Cloud computing delivers server-side predictions.
    • Robust artificial intelligence system calculates forecasts.
    • Simulates generated predictions with buy-sell signals.
    • Enables simulating different risk management approaches.
  • Cons

    • Prediction accuracy averages 70%, with potential failures.
    • Predictions focus exclusively on ETF shares prices.
    • Forecasts express relative weekly percentage change only.

Used TFW1 for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
2011.10
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 7
  • Windows Server
  • Windows Vista
  • Windows XP
  • Windows 10
  • Windows 2000
  • Windows NT
  • Windows 2003
Additional Requirements
Microsoft .NET Framework 2.0
POPULARITY
Total Downloads
2,435
Downloads Last Week
0

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Developer’s Description

Maximize profit and minimize risk while trading in a stock market.
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.

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