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C: \ Business \ Investment Tools \ NNSTP-2 2011.04
NNSTP-2 2011.04 - Detailed Description Page
Click to view NNSTP-2 2011.04 screenshot
Program ID: 78138
Author: Addaptron Software Inc     All programs by this author
Downloads: 38801
License: Shareware [?]
Cost: $49.00 US
Operating Systems: win2000 winxp winvista winvistax64 win7x32 win7x64
Size: 222K
Release Status: new
Last Updated: 2011-04-14
Our Rating: Not rated yet...
Users Rating: not rated yet     (total votes: 0)
Feedback: Report broken download     Report spyware [?]
Download NNSTP-2 2011.04

NNSTP-2 iconNeural networks can discover patterns in data that humans might not notice and successfully predict the future trend. Addaptron Software has developed NNSTP-2, neural network computer tool, to help stock traders in predicting stock prices for short terms. NNSTP-2 predicts future share prices or their percentage changes (can be chosen in settings menu) using Fuzzy Neural Network (FNN). It operates automatically when creating the FNN, training it, and mapping to classify a new input vector.

Recommended forecasting horizon is 1-60 trading days. The software predicts closing price or weighted one (can be chosen in settings menu). Input data are weighted closing price of the stock and the volume traded. The input data transformed to characteristic matrices before training FNN. The forecasting is based on automatic scan of different inputs periods to define accuracy of each one by back testing. Then the final forecast is built on weighted averaging of all forecasts. Each weight is proportional to the accuracy of a certain input period forecast.

NNSTP-2 has a user-friendly easy-to-use interface. The software is intended for traders with a basic knowledge in stock analysis. The latest version is a part of integrated system SMFT-1.


Keywords: neural network, short-term forecast, stock traders, stock trend predictor, best timing,

Recent Changes: upgraded, integrated

Install Support: Install and Uninstall

Supported Languages: English

Additional Requirements:



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