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SMAP-3 for Windows

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Editors’ Review

Download.com staff
This software analyzes stock market cycles using spectral analysis to predict optimal buy and sell timing. It employs back testing for accuracy and offers a user-friendly interface.

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SMAP-3 0/1

  • Pros

    • Extracts basic stock market cycles.
    • Predicts optimal stock buy/sell timing.
    • Performs back testing for forecast accuracy.
    • Offers user-friendly interface.
    • Analyzes time of year, day, and week for timing.

  • Cons

    • Requires basic stock investing knowledge.
    • Focuses on historical data for prediction.
Icon of program: SMAP-3

SMAP-3 for Windows

Download now

Used SMAP-3 for Windows?

Explore More

Full Specifications

GENERAL
Release
Latest update
Version
2009.10.07
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 7
  • Windows Server
  • Windows Vista
  • Windows XP
  • Windows 10
  • Windows NT
  • Windows 2000
  • Windows 2003
Additional Requirements
None
POPULARITY
Total Downloads
254
Downloads Last Week
8
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Developer’s Description

By Addaptron Software
Find optimal investing timing.
The stock market has different cycles, such as, four-year presidential cycle, fiscal reporting cycles. In addition, some cycles are defined by intrinsic characteristic properties of the system. The stock market performance curve can be considered as a sum of the cyclical functions with different periods and amplitudes. It is not easy to analyze the repetition of typical patterns using a simple chart analysis because cycles mask themselves - sometimes they overlap to form an abnormal extremum or offset to form a flat period. Stock Market Analyzer-Predictor SMAP-3 is able to extract basic cycles of the stock market (indexes, sectors, or well-traded shares) and to predict an optimal timing to buy or sell stocks. Its calculation mainly based on extracting basic cyclical functions with different periods, amplitudes, and phases from historical quote curve. To detect correctly major cycles, the historical price data are transformed from time domain to frequency domain (spectrum). At the beginning SMAP-3 does a simulation (back testing) of forecast on relevant past data in order to estimate the accuracy of prediction with certain parameters. Then it calculates the prediction for the time period forward using internal optimized parameters. Using back testing also allows user to find an optimal time frame. By selecting data with different historical periods, user can identify the major cycles, which have a dominant effect in a particular time frame. To build an extrapolation (predicted curve), SMAP-3 uses the following two-step approach: (1) applying spectral (time series) analysis to decompose the curve into basic functions, (2) composing these functions beyond the historical data. SMAP-3 also enables finding optimal timing to buy/sell by analyzing month of year, day of month, and day of week (the calculation is based on statistical analysis). SMAP-3 has a user-friendly easy-to-use interface. This software is intended for investors with a basic knowledge in stock investing.
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