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1. Stock market options. Become a patron. Stock market options is creating the best stock alerts in the game! Select a membership level. 1 month subscription.
2. The Stock Market Game (SMG) gives Minnesota students in grades 4-12 the opportunity to invest a virtual $100,000 in stocks, mutual funds, and bonds. Educators incorporate SMG into their curriculum to teach their students business, math, economics, financial literacy, and critical thinking skills as they research and collaborate to make smart.

Can investors master chart patterns just by playing stock market games?

What led to the creation of the ChartZero stock market game was reading a Scientific American article about transcranial stimulation. In that article, author R. Douglas Fields explained how one of the most difficult tasks facing the Air Force is the intense training involved in teaching drone pilots to be able to look at a complex radar image, and pick out targets.

One might ask, 'Couldn't a computer just spot targets from these images?' It turns out the answer is no; you need a human.

Simply put, no computer can parse through these patterns and make a reliable up/down judgment as to what is a target. But the amazing human brain can.

As theoretical physicist Michio Kaku, author of 'The Future of the Mind,' described in a recent television interview, 'Realize that what sits on your shoulders is the most complex object in the known universe.'

Asked about using computers to essentially create a fake brain, i.e. a virtual computer-based system to reach the same computational power as the human brain, Kaku answered, 'We would have to build a computer the size of a city block, cooled by a river, and energized by a nuclear power plant, to mimic the computational power of your brain — which does it for 20 watts.'

Where computers fail when it comes to identifying targets from those radar images, the astounding human brain can be trained to be able to study a radar image and reliably pick out the patterns that point to something being a target. So the only answer for the Air Force is to train human pilots through countless hours of video simulators — effectively playing a game repeatedly — during which the trainees are shown real image data from the past, and then asked to make a prediction. The trainee sometimes identifies a target correctly, and sometimes not, learning the answer from the simulation game after they have made their prediction. By repetitively going through this exercise over and over again, their brains slowly begin to learn the patterns.

According to the Scientific American article, the biggest bottleneck for the Air Force in deploying new drones is the shortage of trained pilots, given that the number of training sessions necessary before the brain is able to reliably pick out targets, is extremely high.

This got us to thinking about patterns in the stock market, as expressed in charts. Patterns like the 50-day moving average crossing the 200-day moving average and then diverging; patterns like increasing levels of volume during a strong stock move; patterns like the slope of the Relative Strength Index (RSI) at the same time other patterns appear. And countless others, potentially too complex for a computer to ever be able to absorb the way a human brain can.