Backtesting is one of AI-based analytical tools.  Any trading strategy, whether it is offered by AITrading or developed by the user, specifies its parameters manually and goes through backtesting. As a result, the strategy is given a risk parameter that determines the statistical probability of the achievement of the set goal, the loss of funds (level of loss can be set manually).
If the probability of not achieving the goal is high and even more so if it leans towards a likely loss of money, AITrading will alert the user and will offer alternative strategies.
Backtesting has one more function: after the AI built the hypotheses and assessed the statistical probabilities regarding a specific stock, the ML block registers the actual stock performance, checking and adjusting its initial hypotheses and with new potential rules and regularities.
Apart from the automatic strategy backtesting, the user can backtest any strategy manually as well as formulate a query and receive results regarding the historical behaviour of any available stock.