Machine Learning Trading, Stock Market, and Chaos

taliTali Soroker is a Financial Analyst at I Know First.


Summary
  • There is a notable difference between chaos and randomness making chaotic systems predictable, while random ones are not
  • Modeling chaotic processes are possible using statistics, but it is extremely difficult
  • Machine learning can be used to model chaotic processes more effectively
  • I Know First has employed artificial intelligence and machine learning in order to make predictions in the stock market
  • Definitions for underlined words can be found in the Glossary at the end of the article

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I Know First Weekly Review Algorithmic Performance: April 9th, 2020


I Know First Weekly Newsletter
Investment Selection Using AI Predictive Algorithm
April 9, 2020

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Stock Market Forecast: Creating a Model for Chaos Mapping and Predictions

taliTali Soroker is a Financial Analyst at I Know First.


Summary
  • Chaotic systems revisited – see original article here
  • Understanding the stock market as a chaotic process
  • What is a model and what is a multivariate time series?
  • How is machine learning used to create an efficient/effective model For stock market forecast
  • Considering higher dimension data sets and time complexity

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The New Workforce: The Impact of AI on Human Investors

The Impact of AI on Human Investors

Our intelligence is what makes us human, and AI is an extension of that quality.” – Yann LeCun

Summary:

  • A growing fear in the financial sector is that robots will soon replace quantitative hedge fund managers and traders.
  • Potential uses for AI within the financial sector include ‘Algo-trading’ and portfolio management.
  • To date very few financial institutions are confident to grant full managerial control to a machine.
  • The I Know First Market Prediction System models and predicts the flow of money between the markets.

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