Stock Forecast Methods

Stock Market Trading and Investing

New Improved Version of SMFT-1 Released

Addaptron Software released a new version of Stock Market Forecast Tools SMFT-1. The software includes several improvements: models optimization, more different input file formats, and optional free Downloader. SMFT-1 is an integrated system that includes three major software modules: FTA-2 – a modified version of InvAn-4 that is a comprehensive tool used by serious investors for many years, the most popular software program SMAP-3 for stock market cycles analysis and forecast, and Neural Network Stock Trend Predictor NNSTP-2.

New Improved Version of SMFT-1 Released

FTA-2 itself consists of six major modules:

  • “Technical analysis” – more than 50 popular technical indicators; chart analysis; indicators (each separately or all) used as input for Neural Network (NN) to build 10-day price forecast. The forecasts from all indicators result into a single forecast – each forecast added with the weight proportionally to the current ability of the indicator to predict prices.
  • “Waves” – Elliott Wave NN forecast.
  • “Candles” – candlestick pattern NN forecast model.
  • “Pattern recognition” – pattern-recognition filter and predictor.
  • “Correlation” – correlation analysis tool to perform analysis and evaluate the future trend using a mutually-correlated pair (or in opposite correlation) with time shift.
  • “Comprehensive 3-month fundamental-technical ratings model” – analyzing-predicting model that is based on key fundamental ratios and technical parameters reflecting a company-stock state and dynamics.

SMAP-3 is able not only to extract basic cycles of the stock market (indexes, sectors, or well-traded shares) but also 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. Additionally, SMAP-3 enables finding optimal timing to buy/sell by analyzing months of year, days of month, and days of week (the calculation is based on statistical analysis).

NNSTP-2 is to help stock traders in predicting stock prices for short terms. It 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.

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April 27, 2013 Posted by | Stock Market Software | , , , , , , , , , | Leave a comment

Information Age: Stock Prediction Became More Complicated

These days, the stock market investors make many mistakes trying to predict the next move of a stock. What happened to some classical ideas of investing in the stock market and why old-time approaches do not work? Is stock market the same or it changed? How the age of worldwide economical integration, new technologies, and global problems affect the stock market investing? No doubt, in the last decade stock investing changed. Among the major changes are: (1) Globalization (strong economical dependencies, accessible global stock exchanges). (2) Technologies (instant delivering news, fast-triggered automatic trading systems). (3) Investors’ psychology (high sensitivity to news, more irrational behavior)… read more
© Alex Shmatov. Published with permission of the copyright owner. Further reproduction strictly prohibited without permission.

February 17, 2010 Posted by | Stock Market Forecast | , , , , , | Leave a comment