Researching Market Chaos

Sergey Okun  This article was written by Sergey Okun – Senior Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • The Chaos theory is an alternative to the Theory of Probability which does not consider tossing a coin for making investment decisions.
  • One of the approaches to analyzing multidimensional nonlinear data series is to imitate the behavior of participants in the stock market.
  • I Know First provides stock market forecasts based on chaos theory approaches.

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Artificial Neural Network (ANN): Why You Should Care

Yu YaoThis Artificial Neural Network (ANN) article was written by Yu Yao – Financial Analyst at I Know First.

Summary

  • Understand what is Artificial Neural Network (ANN) and how it works.
  • What are the applications of ANN in the real world.
  • How I Know First implements ANN and find the most promising investment opportunities.

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I Know First Weekly Review Algorithmic Performance: July 8th, 2021


I Know First Weekly Newsletter
Investment Selection Using AI Predictive Algorithm
July 8th, 2021

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Deep Learning Finance: Revolutionizing The Market Today

This article was written by David Shabotinsky, a Financial Analyst at I Know First, and enrolled at the undergraduate Finance program at the Interdisciplinary Center, Herzliya.

Deep Learning Finance

Summary

  • How Deep Learning developed from AI
  • The evolution of Deep Learning in the market
  • How the finance sector has begun to further take advantage of Deep learning
  • I Know First implementation of Deep Learning to better forecast financial markets

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Neural Networks Pave a Way in Finance

This article was written by Megan Gomberg, a student at the University of Illinois.

When I think of neural networks, I typically begin to picture a stream of fast-moving neurons all around the brain. How these neurons interact with each other and the surrounding cells effect our everyday constant decisions and actions taken each day. The neural network system that relates to finance consists of a certain artificial intelligence sequence that attempts to mimic the human brain. 

Source: Pixabay.com

What it is: 

Neural Networks are computing systems with interconnected nodes that work

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How Deep Learning Works In The Stock Market And How to Utilize It for Investment Decisions

 

 

The article was written by Yutian Fang, a Financial Analyst at I Know First and Master of Science in Finance candidate at Brandeis International Business School

 

Summary

  • To make informed investment is always what investors are concerned about
  • Solutions saw their limitations and improvements as techniques developed
  • What Deep Learning can do
    -Deep Networks for Unsupervised or Generative Learning
    -Deep Networks for Supervised Learning
    -Hybrid Deep Networks
  • How I Know First utilized Deep Learning for investment decisions

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Stock Market Prediction: AI And Chaos Theory

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

Rationality and Chaos

There have been many attempts to model the inner workings that make markets tick the way they do, starting from those as fundamental as the Smithsonian unseen hand correcting all the wrongs. However, when it comes to things less abstract and academic, one of the main questions on everybody’s minds is whether market, and, more specifically, stock market predictions are a possibility or not.

stock market predictions
(Source: Pixabay.com)

In extreme cases, both a simple “Yes” and “No” seem to equally contradict the reality on the ground. On the one hand, the famous Efficient

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Bayesian Neural Networks: Bayes’ Theorem Applied to Deep Learning

 

The article was written by Amber Zhou, a Financial Analyst at I Know First.

Highlights:

  • Vanilla Deep Learning Method: Multilayer Perceptron (MLP)
  • Introduction to Bayes’ Theorem
  • Application of Bayes’ Theorem: Bayesian Inference
  • Combination: Bayesian Neural Networks
  • How I Know First Utilizes Bayesian Neural Networks for Forecasting

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