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Algorithmic trading, or so-called algo trading, utilizes computer programs to automatically execute trades based on predefined rules and parameters. This helps to reduce the risk of human error and emotional biases, which often lead to poor trading decisions. Additionally, algo trading can be tested on historical data and optimized for optimal performance. Another advantage is the ability to mitigate the risk of losses due to market volatility, as systems can take market conditions into account and make appropriate decisions.

Algo trading involves implementing various trading rules in a program structure and then applying it for successful trading. It's worth noting the presence of certain coding rules, among which simple market intuition is the first distinguishing feature from AI trading. Modern artificial intelligence-based programs first study the structure of data and then make their verdict or predictions. Algo trading entails more technological analysis and calculation, while fully-fledged AI trading products have not yet been invented. Nevertheless, the science does not give up hope of developing the perfect AI program for trading.

The key advantages and strengths of the popular algorithmic trading today lie in the ability to instantly react to fluctuations in market sentiments, full automation of the trading process, minimization of the risk of human errors, and the ability to thoroughly test and optimize strategies on historical data.