Stock Forecast Based On a Predictive Algorithm | I Know First |algorithmic trading Archives - Page 5 of 92 - Stock Forecast Based On a Predictive Algorithm

I Know First Weekly Review Algorithmic Performance: November 2nd, 2020

November 4, 2020

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Investment Selection Using AI Predictive Algorithm
November 2, 2020

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Artificial Intelligence Stock Trading – Now And in The Future

October 15, 2020

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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Algorithmic Articles

I Know First Weekly Review Algorithmic Performance: August 24th, 2020

August 24, 2020

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Investment Selection Using AI Predictive Algorithm
August 24, 2020

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I Know First Weekly Review Algorithmic Performance: August 20th, 2020

August 20, 2020

I Know First Weekly Newsletter
Investment Selection Using AI Predictive Algorithm
August 20, 2020

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Algorithmic Trading Using AI – From Backtesting to Execution

August 13, 2020

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

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