SMFT-2 is a New Stock Market Prediction Software

SMFT-2 (Stock Market Forecast Tools) is a new integrated system by Addaptron Software. It is the next generation of the software that intended to replace older SMFT-1 version. As a result of a few recent development projects, the new version is based on new advanced methods, provides more accurate prediction, and is easier to use.

Prediction modules is built with back-test calculation to estimate the accuracy of forecast within the recent performance periods. Additionally, the back-testing computations is important if more than one method is used. It allows estimating the weight of each method in a composed result; the weights that are proportional to the ability of the methods to predict the price.

SMFT-2 currently includes five major modules:

TA Predictor - prediction for day or week period based on Technical Analysis, pattern recognition and Neural Networks (generates composite result). Back-analysis models optimization and batch calculation for comparative analysis included.

Waves - Elliott Wave model: back-test optimization, up to 10 waves forecast.

Cycles - prediction based on cycle analysis.

Week day - search for maximum performance using price behavior depending on week day. It allows discovering the best entry/exit days of week; batch calculation included.

Month day - search for maximum performance using price behavior depending on month day. It allows discovering the best entry/exit days of month; batch calculation included.

The implemented methods are statistically proven and widely used. All modules share the same EOD (end-of-day) input data. The software is provided with a free Downloader that allows downloading EOD historical quotes files from the Internet for free. A fully-functional software SMFT-2 is free during initial 30-day period. The software and associated documentation are delivered via download links over the Internet. For technical requirements, installation instruction, and download link, visit SMFT-2 download page.

June 2011: SP-500 Might Not Touch 1250, At Least For Now

One of the popular ideas now is that until S&P-500 index touch 1250 number, it is too early to buy or sell. However, on the assumption that currently many market participants are looking at charts and use technical analysis to make their buy-sell decisions, the index might not move down too much, at least for now.

If almost everyone is considering that it is not good time yet to sell (or go short) and waiting for this magic number, this move might not happen. The reason is that there will be no sellers but mostly holders that are waiting. It can be a typical situation when an expectation affects the market. The index might stall for a while and then move up. Also a statistical cycle analysis method based on action-reaction idea indicate that such reverse will happen after June 15-17 and before reaching 1250 value:

Chart has been calculated using cycles predictor

2010 Stock Market Strength Might Propagate Into 2011

S&P-500 index has grown 12.78% during 2010 and it is ending on a positive note. The US corporate profits continue improving and companies have a lot of cash that provide opportunities for business optimization, better dividends, and make stocks more attractive. Also during the last several months the stock market became more predictable from the technical analysis point of view.

Many experts believe that the corporate earnings will grow further in 2011. Evidently, the prices of most shares will move in a natural cyclical manner with dynamical responds to unexpected news, as it was before. In average, major indexes are expected to perform around the same as in 2010. Anything can happen but, as always, extremes have less probability than averages.

Wishing You

Hopefully, 2011 will be a better year with many new opportunities for stock investors and traders!

Predicting Stock Market Using Expert Method

The more methods and information are taken into consideration, the more precise an investment-related solution and, consequently, the more profitable is investing. One of the forecasting methods that uses a collective wisdom is an expert method. This method can be explained by following. As example, an experimentalist shows a pen and asks about 40 people to write down their estimate of the length. Then he collects notes and calculates the average number - normally it is almost 100% accurate. Why it works? Everyone makes errors in different directions so that averaging gives a precise result.

An example of simplified expert method forecast in stock forecasting can be analysts' opinions that collected and averaged. Such information can be found, for instance, on Yahoo Finance webpage "Analyst Opinion" for each stock, it is called "Recommendation Summary". If mean recommendation is equal or close to 1, experts predict strong performance because "1" means "strong buy". If mean recommendation is equal or close to 5, experts predict stock decline because "5" means "sell". It is natural to assume that the more experts express their opinions, the better should be the result of prediction.

Another example of expert forecast could be using your own research of different factors that can contribute certain "opinions" in composed forecast. You can assign different weight for each factor and build an estimation based on weighted averaging. For instance, fundamental analysis may be one the most influential factors, then news factor, technical analysis prediction factor, seasonal price fluctuation factor, etc. All these factors should be added with different weight coefficients. Then the result should be divided by total amount of all weights.

One more idea is to read different current news, analytical articles, blogs, investor forums and draw a summarized conclusion from all opinions, positive and negative predictions. To make this process more automatic, it can be possible to participate on-line polls. There are some websites where you can participate in building a collective forecast for S&P-500 index. You can share your opinion by voting and see the result of composite forecast. If you use more than one method, approach, or tool for prediction, it could be reasonable to give a vote for each one. All participants may benefit from building a simple average forecast. However, do not put too much trust in any method alone - make your own conclusion.

Link to: useful resources

© Alex Shmatov. Published with permission of the copyright owner. Further reproduction strictly prohibited without permission.