Artificial Intelligence Stock Trading – Now And in The Future

This article was written by Maria Grishaev, Analyst at I Know First.

Executive Summary

In the last decade, the usage of machine learning and artificial intelligence based trading algorithms grew with the rapid development of computational powers. It makes everyone to wonder - do we take the maximum advantage technology gives us or not. In this article I’m going to discuss the current trend of usage and what are the challenges we are going to need to overcome in order to utilize all the benefits of this advanced technology.

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Can a Machine Beat the Stock Market?

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

Executive Summary

Recently, several articles expressed opinion that artificial intelligence and machine learning will never beat the stock market. According to a report published by Allied Market Research, the global neural network market was valued at $7.03 billion in 2016, and is estimated to reach at $38.71 billion by 2023. The rapid development of computational powers and the fast pace of changes in the stock market forces investors to wonder whether they should trust machines to predict the stock market or continue to use old-fashioned methods.

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Options Trading Strategies Forecasts and Risk Modeling

This article was written by:

dr roitmanDr. Lipa Roitman, Co-Founder & CTO at I Know First..



Michael Shpits, Financial Analyst at I Know First.



Summary:

  • Introduction to risk modeling and forecasting options with machine learning.
  • New Implied Volatility package from I Know First Predictive Algorithm.
  • Options trading strategies for optimal returns and risk mitigation.
  • Algorithmic performance analysis of Implied Volatility package.

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Algorithmic Trading Using AI – From Backtesting to Execution

This algorithmic trading software article was written by Erica McGillicuddy, Analyst at I Know First.

Summary

  • Algorithmic trading platforms such as Quantopian offer modules that ease the coding process
  • Backtesting is an essential part of the algorithmic trading process that allows for tweaks to your code that improve its success
  • Backtesting offers a variety of performance metrics including alpha, beta, the Sharpe ratio, net exposure, and drawdown

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Quantitative Trading: Quantitative AI Equity Funds Rebirth

The article was written by Dmitry Podretskiy, a Financial Analyst at I Know First.

Quantitative Trading: Quantitative AI Equity Funds Rebirth

Summary

  • AI transforms investment strategies
  • Pre-crisis market overview
  • Quantitative strategies meltdown
  • Goldman's QIS renaissance
  • I Know First implementing AI

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Algorithmic Trading Software – Empower Your Investment With AI

This algorithmic trading software article was written by Erica McGillicuddy, Analyst at I Know First.

Summary

  • Algorithmic trading software automatically takes a variety of factors into account to determine what stocks to buy and sell
  • Algorithmic trading software platforms such as Quantopian help users learn about writing algorithms, and give them a variety of tools including the ability to backtest
  • I Know First indicators can contribute to an algorithm so that it accounts for traditional stock statistics as well as I Know First algorithmic forecasts

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Volatility Trading: Are You Ready to Beat The Crowd with I Know First?

Chloe PengThe article was written by Chloe Peng, Analyst at I Know First., Master of Science of Finance candidate at Brandeis University.

Summary:

  • Trading volume can indicate market trends and potential price movements.
  • Regulations on private exchanges, or dark pool trading, tightens and exchange trading regains market share.
  • I Know First is launching the new forecasting service on trading volume to help you make better decisions.

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Algorithmic Trading: Trade Professionally With Implied Volatility

Chloe PengThe article was written by Chloe Peng, Analyst at I Know First., Master of Science of Finance candidate at Brandeis University.

Summary:

  • Implied volatility reflects the forecasted likelihood of certain price movements and thus can be used to evaluate option prices.
  • Buy when options are traded at lower implied volatility and sell when they are traded at higher implied volatility.
  • I know first’s volatility forecast package helps professional option traders to better decide on their positions.

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