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SMFT-2 for Windows

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Editors’ Review

Download.com staff
This system uses five modules with neural networks to analyze market data. It predicts stock prices by identifying patterns, waves, and market cycles to inform trading decisions based on back-testing historical data.
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SMFT-2 0/1

  • Pros

    • Back-tests technical indicators for predictive ability.
    • Uses neural networks to forecast from indicator signals.
    • Scans historical data for correlated patterns.
    • Predicts price and date extremes using wave analysis.
    • Includes a free downloader for historical EOD data.

  • Cons

    • Does not support real-time or intraday data.
    • Lacks fundamental analysis of company financials.
    • No direct integration with trading brokerage accounts.
    • Analysis is limited to stock market data.
    • Requires technical knowledge for effective use.
Icon of program: SMFT-2

SMFT-2 for Windows

Download now

Used SMFT-2 for Windows?

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Full Specifications

GENERAL
Release
Latest update
Version
2015.09
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 8
  • Windows XP
  • Windows 2003
  • Windows Server
  • Windows 2000
  • Windows 7
  • Windows 10
  • Windows Vista
Additional Requirements
.NET Framework 2.0
POPULARITY
Total Downloads
110
Downloads Last Week
0
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Developer’s Description

By Addaptron Software
Analyze and predict stock market prices.
Comprehensive system for stock market traders and investors, consists of the 5 modules. Technical indicators processor determines which indicator should be trusted more for particular market conditions and specific shares using back-testing simulation. It composes the forecast from indicators signals with weights accordingly to predictive ability of each indicator using Neural Network (NN). The pattern similarity module searches for the best matches by scanning all historical data and ranks them on the basis of maximum correlation and minimum deviation within given period using EOD prices and volume data. NN is used to apply candlesticks pattern to predict the next candlestick (day or week in width).

Module Waves analyzes waves and predicts a future high or low price similar to Elliott Wave theory of recurrent stock market price structures; the software takes into consideration all extracted waves. Due to employing NN it enables identifying both the price and date of extremes.

Cycle predicting module is designed to reveal cycles, build forecast, and find optimal timing to buy and sell. Additional analysis includes such cycles as, month of year, day of month, and day of week. It operates automatically when creating the NN, training it, and mapping to classify a new input vector. The software provided with free data Downloader, as well as, input data can be downloaded for free.

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