I Know First To Democratize AI-Driven Stock Predictions For All

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

Summary:

  • Artificial intelligence is being widely used by pig players on the investment scene.
  • While the technology has a lot to offer, advanced models trained by top investment banks are likely to stay out of the reach of broader audience.
  • It is up to ambitious startups like I Know First to democratize AI for all.

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Stock Picking Algorithms: The Machine Advantage

Tomer Solel is a Financial Analyst at I Know First. He graduated from Cal Poly Pomona with a bachelor's degree in applied mathematics. Stock Picking Algorithms

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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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