Live AI Powered Stock Picking During I Know First Webinar
Last Thursday, June 30, 2022, I Know First organized a special webinar with the CEO and the head of advisory services. We discussed how the AI-Powered Predictive Algorithm works and how you can use it on a daily basis to identify investment opportunities in the stock market.
As a live exercise, we showed the forecast that was generated by the AI Powered Algorithm on that day for the 3 days time horizon. Below you can see the results of those predictions!
For the long positions, BLDR was the top-performing prediction with a return of 9.09% and LII followed with a return of 4.63%. For the short position, the algorithm successfully predicted the movement of CUK, with a return of 0.56%. The four stock picks saw an overall yield of 3.51% versus the S&P 500’s return of 0.17% implying a market premium of 3.34%!
The full Top 10 stock picks for this 3 days time horizon saw an overall yield of 2.22% versus the S&P 500’s return of 0.17%. This forecast is part of the Top 10 Stocks Package, as one of I Know First’s systematic trading tools.
Stock Market Forecast: I Know First’s Machine Learning Algorithm
I Know First is a leading company that has been effectively using machine learning and AI-based algorithms to provide daily forecasts and facilitate trading for over 13,500 financial instruments. More importantly, I Know First’s algorithm does not depend on any human-derived assumptions except for the mathematical framework initially presented, meaning that it is more reliable and accurate than using technical indicators which involve a lot of human judgment. The algorithms present patterns based on data inputs, testing the performance on years of market data, and validating them on the most recent data, which prevents overfitting. If an input does not improve the model, it is “rejected”, and another input can be submitted. I Know First provides different forecast packages based on the AI algorithm which allows us to select the most promising stocks (you can access them here)
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Please note-for trading decisions use the most recent forecast.