Automated Trading Systems, also known as trading robots, are programs that execute transactions on financial markets independently, without direct human intervention. They operate based on pre-defined algorithms developed using historical data and the expertise of experienced traders.

It is important to emphasize that the results obtained by such systems in backtesting are purely historical and in no way guarantee similar outcomes in the future.

Trading robots can simultaneously analyze and operate across multiple markets, such as currencies, stocks, cryptocurrencies and others. This enables diversification of an investment portfolio, which may help reduce risk — for example, by offsetting potential losses in one market with profits in another. Automated trading is also characterized by high speed, precision, and the elimination of emotional influence on investment decisions.

These systems offer a wide range of configurations — from more conservative settings, which in historical tests indicated potential annual returns of 30–100%, to aggressive strategies that, in the same tests, reached even 100–200% or more in annual returns. However, it must be clearly stated that these results were obtained solely based on historical data and do not guarantee similar performance in real, current trading.

Moreover, higher potential profitability always comes with increased risk, including the possibility of partial or total loss of invested capital.

In practice, it is possible to use from a few to even several dozen financial instruments simultaneously, allowing the investment portfolio to be flexibly adapted to the individual needs and preferences of the investor. Nevertheless, one must always keep in mind that market volatility is an inherent feature of financial markets, and past performance does not guarantee future results.