I Know First Live Forecast Evaluation Report For Under 10 Dollars Stocks Package

This performance evaluation for the Under 10 Dollars stocks package was written by Diana Na Kyoung Lee, an Applied Math-Computer Science student at Brown University.

Executive Summary

In this forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for stocks from the Stocks Under 10 Dollars Package, which is sent to our customers on a daily basis. Our analysis covers the time period from 1 April 2018 to 31 May 2019. We will start with an introduction to our asset picking and benchmarking methods and then apply it to the stock universe of all of the stocks covered by us in the Under 10 Dollars Package. We will then compare returns based on our algorithm with the benchmark performance over the same period.

Stock Forecast Evaluation Report For US Stock Market – Significantly Beating S&P 500 Index

Executive Summary

In this stock forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for the US stock market and sent to our customers on a daily basis. Our analysis covers time period from January 1, 2019 to May 23, 2019.

  • Top 5 signals provided the most predictable stocks with a return of 10.42% in a 3-month investment horizon, beating the benchmark by 1.61%.
  • There is a clear correlation between increasing time horizons and investment return.
  • The benchmark was over-performed in the top 10 and 5 signal classes.

The above results were obtained based on the stock forecast evaluation over the specific time period using consecutive filtering approach – by predictability, then by signal, to give general overview of the forecasting capabilities of the algorithm for specific stock universe. The following sections of this study will develop

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I Know First Live Forecast Evaluation Report For Indian Stock Market – Significantly Beating Nifty200 Index And India Stock Market Benchmarks

Executive Summary

In this live forecast evaluation report we will examine the performance of the forecasts generated by the I Know First AI Algorithm for the Indian stock market and sent to our customers on a daily basis. Our analysis covers time period from March 1, 2018 to August 24, 2018.We will start with an introduction to our stock picking and benchmarking methods and then apply it to the stock universe of the Nifty 200 index as well as all of the stocks covered by us in the “Indian Stocks” Package.

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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