Stock Market Ups and Downs for the Next Three Months

S&P-500 has increased around 5% during the first decade of July. Evidently, the stock market was uplifted by investors' optimism. One of the most important fundamental factors that causes this uptrend was strong second-quarter earnings reports. Also other positive news factors stopped sliding down S&P-500 index.

From the technical point of view, downs and ups follow each other. Any action normally results a reaction. To discover periods and amplitudes of this natural market fluctuations, some investors use a cycle analysis. The cycle analysis also can be used to predict the further fluctuations. The following chart represents S&P-500 forecast for August-September-October, 2010. The calculation has been performed using Stock Market Predictor SMAP-3.



Possible prediction from the current 1078 value of S&P-500 is the following. It can increase in about 3-5% in the middle of August and then decrease below 1000 level in September. Then it can reverse to an uptrend again. However, as always - such technical prediction may change if something fundamental happens.

Nothing in this piece or blog should be construed as investment advice in any way. Always do your 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

April 2010 Stock Market Outlook

Increase in US employment in March is the biggest increase in the last three years. Bloomberg estimates that the economy probably grew by 2.8% in the first quarter of 2010. Some economists believe that the deepest US recession since the 1930s has ended now.

The recent news about strong improvements in demand at services businesses and in the housing market added to an optimistic mood. White House economic adviser Larry Summers said in a newspaper interview with the Financial Times that the US economy is on the path to achieving self-sustaining growth - read more about this optimistic opinion...

Also read why US stocks look better and better, at least in the short run.

From the technical analysis side, the expectations are also positive, at least in a short run. The chart below represents SP-500 forecast for April calculated by Neural Network Stock Trend Predictor NNSTP-2. Neural Network forecast shows uptrend for April 2010:



The next chart shows Cycle Analysis forecast by Stock Market Analyzer-Predictor SMAP-3. It indicates a small uptrend until the middle of the April. Although it does not look so optimistic as previous one but after some correction at the end of May, the bigger uptrend is predicted again:



Nothing in this piece or in this blog should be construed as investment advice in any way. Always do your 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.

Neural Network vs. Cycle Analysis to Predict the Stock Market

Many stock market experts consider that the last several years show the increasing of general market influence on the behavior of an individual stock. You could find the number around 40% for stock market risk-factor in old books. But now the general market influence is considered almost 85%. That is why it is very important to look at the stock market first and try to predict it before investing in any stock nowadays.

The stock market can be presented by S&P-500 index. It is possible to build its different statistical forecasts using historical data. The purpose of the research was to compare two statistical methods: one that based on Cycle Analysis, another - on Neural Network. We used price and volume data to train this particular Neural Network.

A picture below shows how actual 5-day performance (yellow line) differ from predicted performances by these two methods. The top half is the comparison of Neural Network prediction, bottom half - Cycle Analysis. Green bars mean buy signals, red - sell.



Three major conclusions:
1. Cycle Analysis prediction gives signals too early, Neural Network prediction - too late.
2. In average, Cycle Analysis prediction showed slightly better accuracy than Neural Network prediction for the last six months (from June 2009 to January 2010).
3. It it possible to get a superior prediction by combining these two methods.

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The links where the models' descriptions can be found:
Cycle Analysis
Neural Network

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