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Everything run by human psychology is bound to be beset with complexities beyond idiom, especially when money is involved. It pains one to visualize the inner workings of something like the stock market, especially now that the world is besieged by global economic and financial recession. Many companies are struggling to be rid of the vise grip of the crisis that has already claimed many others, not just any companies, but known ones. With such influential organizations rising and falling, stock traders need all the help they can get trying to make sense of stock market figures that might some might even try their luck in automated trading via trading software.

The World Wide Web spawns as many useful things as it does subterfuges, and taking advantage of a computer’s forte of data gathering and analysis, stock software are today common tools in a trader’s repertoire. Such software range from simple observational systems that collect and organize data to analysis programs that analyze the collected figures to decision making software that forecasts trends in the market and buys and sells accordingly based on the gathered and analyzed data. The data observation and gathering plus the analysis parts make such stock market trading software virtual assistants to stock traders and are quite accurate and useful. But the part where it makes its own decision is doubtful.

While it is true that a computer program is the best suited to analyze such figures as stock market data, and also quite suited to perform according to a predefined set of principles like using technical or fundamental analysis, the stock market—like any other man-made and man-run complexity, can at times be drastically irrational. The 1987 stock market crash for example; until now, no probable cause has ever been proven to cause a drop of 22. 6% in the Dow Jones Index. No logical explanation was found. Even if today’s computers had been there, they could not have been able to foretell such an event happening. This is still the case today. Even if trends do occur in Gaussian distribution, no computer can accurately pinpoint an outlier possibility and thus make use of it. And then there’s Professor Eugene Fama’s Efficient Market Hypothesis that directly contradicts a computer’s potential to outperform the market. Stating that it is not possible to consistently outperform the market from information from the market, though the hypothesis has its drawbacks and contenders, is sound enough to ring true for the case of a stock investing software.

Finally, there is the psychological aspect wherein a computer can’t predict human over or under reaction that can cause over or under pricing. All in all, with regards to data, computers and programs are excellent observers and analysts, but all calls are still best left to Homo sapiens.