Stock Forecast Methods

Stock Market Trading and Investing

Until the Middle of November S&P-500 Might Be Still Good

The stock market during a month ahead might be driven by a few expected fundamental news. Nevertheless, technical factors can give some additional momentum for the market. In October, S&P-500 gained more than 3%. The last four weeks, S&P-500 weekly performance was 1.65%, 0.95%, 0.59%, and 0.02%. The trend does not look optimistic. However, according to a cycle analysis, October’s uptrend cycle can be still intact. The chart shows a possible resumption of uptrend until November 11:

Until the Middle of November S&P-500 Might Be Still Good

The forecast was calculated using software tool SMAP-3. A cycle prediction is based on the hypothesis that statistically revealed cycles may be repeatable in the future and, therefore, they can be used to build the summarized curve of future movements.

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October 31, 2010 Posted by | Stock Market Forecast | , , , , , , , | Leave a comment

Stocks’ Forecast for the Last Two Weeks of October 2010

The chart below shows S&P-500 index forecast for October 18-29, 2010. It has been calculated using pattern recognition forecasting and indicates some move down and then up.

Stocks' Forecast for the Last Two Weeks of October 2010

This time most technical indicators do not signal any significant move – neither up, nor down. However, a big fluctuation can be expected due to the third quoter reporting season. Statistically, in most cases, it is a “bumpy road” from one to another day. At this an unbalanced stage, any particular overly good or bad news may drive stocks in any direction significantly. And it can be an opportunity for skilled traders.

October 16, 2010 Posted by | Stock Market Forecast | , , , , , , , | Leave a comment

Technically S&P-500 May Be More Green than Red for the Next Two Weeks

Technically, S&P-500 index expected to be bullish during the period of October 4-15, 2010. According to the results of two different software tools for stock market, the behavior of the index is predicted as somehow between uptrend and sideways. However, technical predictions may be overwritten by changed fundamental-based expectations. The technical indicators are built on a historical predisposition and may work well if other informational factors are unavailable or new information still keeps the existing balance of future expectations. Technical methods are unable to predict most fundamental news, for example, the numbers of GDP or unemployment rate that will be announced.

October 3, 2010 Posted by | Stock Market Forecast | , , , , , , , | Leave a comment

Stock Market Forecast for August 16-27 by Pattern Similarity

A pattern recognition system is to classify data based on statistical information excerpted from the data. Normally, a pattern recognition system consists of data input, converter, an extraction processor to classify accordingly to descriptive scheme, and output grouped data. The statistical classification of patterns assumes that the patterns are generated by a probabilistic system.

Some patterns can be repeatable in the future, therefore, we can use selected present patterns to predict the future pattern. Investment Analyzer InvAn-4 (IA) by Addaptron Software has an extra feature to predict stock or index prices using pattern similarity. The prediction period can be chosen within a range 1..60 trading days; the period of historical data that used for matching recommended in 4..16 times longer than prediction period. IA searches for the best matches by scanning all historical data from the internal database.

IA ranks all possible matches on the basis of maximum correlation and minimum deviation within given historical period. IA performs pattern matching using open, high, low, and close prices and volume data. When scanning is completed, IA composes forecast using several best matched patterns (top ranked). Since the statistical regularities of the patterns help to create more stable picture, IA allows adding up many top-rated patterns. The composite result is built as a weighted average with weights proportionally pattern ranks.

The chart below shows S&P-500 Index forecast for August 16-27, 2010 by Investment Analyzer. The forecast is a small uptrend and then a bigger downtrend:

Stock Market Forecast for August 16-27 by Pattern Similarity

Nothing in this piece or blog should be construed as investment advice in any way. Always do our own research or/and consult a qualified investment advisor. It is wise to analyze data from multiple sources and draw your own conclusions based on the soundest principles. Be aware of the risks involved in stock investments

August 14, 2010 Posted by | Stock Market Forecast, Stock Market Software | , , , , , , , , , , | Leave a comment

S&P-500 Forecast for the First Two Weeks of August on the Basis of Technical Indicators Signals

There are many technical indicators. And there are many interpretations of each indicator’s signal. Some stock investors and traders use particular favorite indicators and insist on own interpretation. Who is right? What if to allow a computer program to decide using back-testing which indicator should be trusted more and another less for particular market conditions and a specific stock?

One of computer programs that enables to compose the forecast with weights accordingly to predictive ability of each technical indicator is Investment Analyzer InvAn-4. It performs a short-term (10 trading days) forecast using Neural Network. The chart below shows an example of such forecast. It is S&P-500 forecast for the first two weeks of August, 2010.

S&P-500 Forecast for the First Two Weeks of August on the Basis of Technical Indicators Signals

Nothing in this piece or blog should be construed as investment advice in any way. Always do our own research or/and consult a qualified investment advisor. It is wise to analyze data from multiple sources and draw your own conclusions based on the soundest principles. Be aware of the risks involved in stock investments

August 3, 2010 Posted by | Stock Market Forecast, Stock Market Software | , , , , , , , , , , , , | Leave a comment