I Know First Weekly Review Algorithmic Performance: December 23rd, 2020
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Investment Selection Using AI Predictive Algorithm
December 23, 2020
Machine Learning Trading, Stock Market, and Chaos
Tali 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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Stock Market Prediction: AI And Chaos Theory
This 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.
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
Machine Learning Trading: Highest Return of 41.07% in 7 days
Package Name: Stocks Under 10 DollarsForecast Length: 7 days (06/21/2016 - 06/28/2016)
I Know First Average: 5.84% (long); 5.46% (short)
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Machine Learning Trading: Highest Return of 15.10% in 14 Days
Package Name: Brazil Stock ForecastRecommended Positions: Long
Forecast Length: 14 Days (06/03/16 – 06/17/16)
I Know First Average: 7.27%
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