Stock Market Predictions: Sector Rotation Strategy

I Know First Research Team LogoThis article "Stock market prediction: Sector Rotation Strategy" was written by the I Know First Research Team.

I Know First provides investment solutions for institutional investors with a competitive advantage utilizing our advanced self-learning algorithm. I Know First provides an individual approach for institutional clients to improve their investment process based on their needs and preferences. We have reviewed the performance of the Sector Rotation strategy during the period from January 21 to June 26. Visit our website for more details about I Know First solutions for institutional investors.

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Performance Report of I Know First’s AI-Predictive System for ETF Universe – Beating SPY

Early upon the launch of I Know First’s forecasting algorithm, we implemented our AI-based ranking and forecasting model for a selection of 100 ETFs in the U.S. market. Since then, I Know First began to issue ETF forecasts for our global subscribed investors.

According to our forecast evaluation results, the predictions generated returns greatly surpassing that of the benchmark we have utilized, namely, the SPDR S&P 500 Trust ETF (NYSE: SPY) which tracks the S&P 500 stock market index.

For each covered ETF, the forecasts are generated daily for 5 main time horizons, expressed in calendar days or months: 3 days, 7 days, 14 days, 1 month and 3 months.

The daily updated forecast consists of two numbers: the signal which indicates the predicted direction and strength of the ETF’s movement in the respective time frame, and the predictability which indicates how predictable the algorithm considers the ETF’s movements to be.

Currently, I Know First’s AI-based forecasting system covers 100 ETFs in total in the U.S. market, which are shown in the table below by their tickers.

Table 1: I Know First’s ETF Coverage


AI Added Value to the Investors

The predictive AI system can be used by investors/traders to make smarter investment decisions by:

Identifying promising opportunities in the U.S

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