I Know First Takes Center Stage as Winner of Fintech Competition in Investment World

As part of the conference "Fintech technologies and digital solutions in the investment world - the future is already here" held this morning (Tuesday, 1/24/23) by the innovation community - Fintech.IL and the Harel Center for Capital Market Research, at the Kohler Faculty of Management at Tel Aviv University, the startup companies were announced - App that won a competition in the field of fintech solutions for the investment world.

Yaron Golgher CEO of I Know First in an Interview on Channel 14’s Economics Program about the Effects of the CHAT GPT and Artificial Intelligence Technology on Academia.

Yaron Golgher, CEO of I Know First and lecturer in fintech entrepreneurship at Reichman University, in an interview on Channel 14's economics program: during the interview, Golgher spoke about the CHAT GPT and artificial intelligence technology, the opportunities and challenges and how it affects the field of education and investments. How will the CHAT GPT affect academia? Is the fear of artificial intelligence justified?

AI Stock Forecast: Fighting the Irrational Crowd by Investing Through AI

This article was written by:

dr roitman Dr. Lipa Roitman, Co-Founder & CTO at I Know First, Ph.D from the Weizmann Institute of Science.


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

Summary:

  • Why do investors tend to irrational decisions?
  • Improving decisions making with AI.
  • Investing with AI for everyone.

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Three Ways of Using I Know First AI for Finding Top Stock Picks

I Know First Research Team LogoThis article was written by the I Know First Research Team.

Summary:

  • The use of mathematics and algorithms eliminates a big problem that all of us share, being emotional.
  • IKF provides an efficient AI algorithm for finding promising financial assets.
  • There are several tips that allow us to correctly interpret the output of the IKF algorithm

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Why Stocks Are So Hard To Predict?

Yu YaoThis article about Why Stocks Are So Hard To Predict was written by Justin Cohen - Financial Analyst at I Know First

Summary

  • Stocks and the Overall Market are Often Difficult to Predict.
  • Two Vastly Different Forecasts for Tesla, Inc. (TSLA).
  • Using I Know First - AI Predictive Algorithm for Stock Picking

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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.

Summary:

  • 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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Special Webinar with the CEO and the head of advisory services of I Know First

I Know First organizes the webinar with the CEO and the head of advisory services of I Know First at 10 am (EST) on June 30, 2022.

In this webinar, we will be discussing the following areas:

  • How does the AI-Powered Predictive Algorithm work?
  • How can you use it on a daily basis to identify investment opportunities in the stock market?
  • What are the Top Stock Picks for July 2022 using an Algorithmic Forecast?

Click Here to Register Now

Keep Calm & Trust Your Data: AI And Stock Market Irrationality

I Know First Research Team LogoThis article was written by the I Know First Research Team.

One of the most common themes you find in many mythologies across the globe is that of order and chaos. The world as we know it, in all its orderly (or at least more orderly than not) glory, is emerging from the state of complete and utter entropy. This can be seen as a metaphor for many things, from organic life coming into existence in the primordial broth to the way the first humans explored their environment, rationalizing their experiences in ways that made sense in the existing system of knowledge. Rationalizing is the keyword here: it does not take a stretch of the imagination to view

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