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Stock Prediction Based on Price Patterns for Windows

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Used Stock Prediction Based on Price Patterns for Windows?

Editors’ Review

Download.com staff
This application, powered by MATLAB, analyzes stock price patterns to predict market trends. It identifies patterns like rising, falling, or horizontal movements, aiding in the recognition of trend continuations or reversals for informed investment decisions.

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  • Pros

    • Determines stock price patterns (rise, fall, horizontal).
    • Identifies patterns associated with trend continuation.
    • Recognizes patterns associated with trend reversal.
    • Provides full Matlab source code.
    • Aids in stock prediction analysis.

  • Cons

    • Requires Matlab software installation.
    • Lacks compiled executable for direct use.
Icon of program: Stock Prediction Based on…

Stock Prediction Based on Price Patterns for Windows

Download now

Used Stock Prediction Based on Price Patterns for Windows?

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Full Specifications

GENERAL
Release
Latest update
Version
1
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows Vista
  • Windows NT
  • Windows 98
  • Windows XP
  • Windows 2000
  • Windows 3
  • Windows 10
  • Windows ME
  • Windows 95
Additional Requirements
Windows 3.x/95/98/Me/NT/2000/XP/2003 Server/Vista, Matlab, Matlab Financial Toolbox
POPULARITY
Total Downloads
2,818
Downloads Last Week
0
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User Reviews

1/5

3 User Votes

Developer’s Description

By Luigi Rosa
Determine price patterns of stocks.

Stock Prediction Based on Price Patterns 1.0 - Matlab source code. Investors determine price patterns -which rise, fall and sometimes move horizontally -with buying enthusiasm in a bull market, driving prices higher, and create a bear market with strong selling, sending prices lower.

A rising price pattern is developed in the market or an individual stock by having more buyers than sellers, so the price or index rises, creating an uptrend. Price patterns frequently associated with the continuation or reversal of trends are recognizable. Requirements: Matlab installed.

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