Trade forecasts of Stocks, Futures, Forex, and ETFs. Moreover, to create better forecasts, we use methods of probability theory and mathematical statistics. In addition, we adapt our own methods, which are based on the machine learning and soft-sets theory.
First of all, our task is to offer a full range of trade forecasts algorithms to form the best set of methods for the chosen index. Also, for ease of further use, we provide the ability to save the fused method and adjust it to changing market conditions.
Above all, by tracking changes in quotes and comparing them with trade forecasts obtained from the best forecasting algorithms at a given time interval, the user will quickly get information for playing the stock market.
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