Daily Stock Market Forecast Based on Self-Learning Predictive Algorithm. The Predictive Algorithm Is Based On Artificial Intelligence, Machine Learning, Artificial Neural Networks And Genetic Algorithms.

This stock market forecast evaluation report published recently by I Know First presents the performance of the stock market predictions generated by the I Know First AI Algorithm for Brazilian stock market, which showed significant results during 2019 and is expected to further grow by some 15% in 2020. The evaluation used two models - the Global Model which was sent only to institutional investors and the Daily Forecast Model which was daily delivered to both individual and institutional investors. The I Know First AI Algorithm picks top stocks to buy from Brazilian market by terms of their signal and predictability providing the user with the best Brazilian stocks set. The algorithm provides a selection of stocks identified as the most promising market opportunities and also indicates the reliability of asset-specific predictions. Global Model is a recently developed stock-picking method providing an alternative approach to investment selection process using more sophisticated filtering, in comparison to the company's Daily Forecast Model.

The deep learning predictive AI algorithm developed by I Know First has shown an accuracy of up to 95% in its predictions for Facebook (FB). The deep learning predictive AI algorithm developed by I Know First, a Fintech company that provides state of the art self-learning AI-based algorithmic stock market forecast solutions to uncover the best investment opportunities, has shown an accuracy of up to 95% in its predictions for Facebook (FB). That is according to aFacebook stock forecastevaluation report published by the company on August 25, 2019. The algorithm has demonstrated a higher accuracy rate for longer-term forecasts, as is often the case for predictive AI. "We provide AI-based forecasts for different time horizons. Machine learning algorithms do better on longer time horizons: the longer the time period, the greater the statistical significance and the greater the accuracy." said I Know First CEO Yaron Golgher. "The algorithm is able to identify the trend, and to filter out the background noise.

Common fallacies about markets claim markets are unpredictable. However, chaos theory together with powerful algorithms proves such statements are wrong. Markets are chaotic systems with complex dynamics, yet to a certain extent we can make valid stock market forecasts. Using these forecasts generated by cutting-edge predictive algorithms together with a careful risk management strategy may give a trader a significant competitive advantage. Looking at the common fallacies about stock markets, we can see two major groups.

Tali Soroker is a Financial Analyst at I Know First. Ask any person on the street if something is random or chaotic and they may assume the two are synonymous. However, there is a very important distinction between the two types of processes, making it possible to make predictions for chaos while for randomness we cannot. Chaotic systems have the important property that each future event depends on past and current events. Using this, we can create models of chaotic systems in order to make predictions about future events.