The epidemic of covida-19 and the subsequent introduction of measures to contain the spread of the coronavirus has led to many jobs being lost overnight, especially in the service sector. A large part of the public was therefore attracted by the possibility of making money online, not by producing and selling products, but by buying and selling shares or cryptocurrencies. I therefore decided to identify the five most popular technical strategies in the literature and automate them in the Python programming language. I then tested all five algorithms on the daily share prices of the S&P 500 index from 2001-2021. I found that three of the strategies were successful under certain conditions, while the other two lost their initial investment capital in one way or another. Hence the conclusion that technical strategies are not eternal, but only work over a certain period of time, that it is necessary to constantly monitor what is happening on the world markets and not leave all the decisions to the computer, and that it is necessary to prepare and follow one's own risk management strategy to the letter.
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