Computer Stocks: AI Beats the S&P500 by 36.87%


  • The highest average return is 47.48% for the Top 5 Signals on a 1-year time horizon.
  • The average return across all signal and horizon groups is positive.
  • Predictions reach up to an 87% hit ratio regardless of economic conditions.

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Machine Learning Methods in Stock Price Prediction

Yuxiao YangThis article was written by Yuxiao Yang – Financial Analyst at I Know First.


  • Machine Learning Methods help us find patterns from historical data and then apply them to predictions and algorithmic trading strategies.
  • Major Machine Learning Methods in Stock Price Prediction can be divided into Traditional Machine Learning Methods such as regression methods, Deep Learning methods, Time Series Analysis methods, and Graph-Based methods.
  • The I Know First AI algorithm provides us with the tool to select the most promising stocks.

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Artificial Intelligence: Road to the Smart Future

Kemy Huang  This article was written by Kemy Huang – Research Analyst at I Know First


  • Earlier times, AI had been particularly slow to develop with periodic booms in research. However over the past decade, due to the digital world transforming into the data world, the promising leaps to surpass traditional computing power, and some businesses start to make fortune from the technique. Based on those reasons lead to the AI boom
  • The innovation in the AI area shows the great potential of how powerful it could be. Nowadays, the example in AlphaGo showed the milestone of AI that it doesn't need to be constrained by the limits of human knowledge
  • The technique of Artificial intelligence can bring a fortune to the market. I Know First the promising company that could upgrade investment decisions by providing effective forecasting solutions for the investors

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Machine Learning: Hedge Funds and Quantitative Trading

The article was written by Jordan Klotnick, a Financial Analyst at I Know First. He graduated from Monash University with a Bachelor's in Business - Majoring in Marketing.

Machine Learning


  • Artificial Intelligence and Hedge Funds
  • Hedge Funds Train Computers To Think Like Humans
  • Deep Learning Difficulties
  • Artificial Intelligence
  • I Know First and Hedge Funds

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The Conceptual Framework of Applying ML and AI Models to Analyze and Forecast Financial Assets

This article was written by:

Sergey Okun  Sergey Okun – Financial Analyst at I Know First, Ph.D. in Economics.

Eugen KalaidinEugene Kalaidin – Professor, Dept. of Mathematics and Computer science, The Financial University under the Government of the Russian Federation, Ph.D., D. Sci. (Habilitation) in Physics and Mathematics.


  • Knowledge significantly decreases the speculative risk of investment
  • ML and AI technologies allow us to get relevant knowledge about the financial market
  • Information asymmetry is a key factor in getting the arbitrage return
  • Models of nonlinear dynamic systems allow correctly to evaluate financial assets by determining the backbone behavior of assets

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I Know First Weekly Review Algorithmic Performance: December 30th, 2020

I Know First Weekly Newsletter
Investment Selection Using AI Predictive Algorithm
December 30, 2020

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Dow Jones Predictions: I Know First Evaluation Report for DJI

Dow Jones Predictions Executive Summary

In this forecast evaluation report, we examine the performance of market indices predictions generated by the I Know First AI Algorithm for the Dow Jones Index (DJI) with time horizons ranging from 3 days to 3 months, which were delivered daily to our clients. Our analysis covers the time period from 1 January 2019 to 9 August 2019. Below, we present our key takeaways for checking hit ratios of our DJI predictions in the market.


  • 82% Hit Ratio for 3-months time period for DJI predictions allowing our clients to be able to invest their money with significant less risk
  • Predictions consistently hit above 54% accuracy despite volatile market conditions

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