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 Forecast for March 2010 Stock Market Performance

According to neural network forecast, SP-500 price behavior for March 2010 expected to be fluctuating without significant advances. The chart below has been calculated using Neural Network Stock Trend Predictor NNSTP-2.



Neural 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). Input data are weighted closing price of the stock and the volume traded (EOD csv-files). It operates automatically when creating the FNN, training it, and mapping to classify a new input vector. NNSTP-2 has a user-friendly easy-to-use interface. Historical stock price data are downloaded automatically from the Internet free-of-charge (US and worldwide stock exchanges). The software is intended for traders with a basic knowledge in stock analysis.

See also:
Weekly stock market forecast
Tools to predict stock market

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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.