Create an Algorithm to detect Strong Pattern instruments

I Would like to create an algorithm that detects and categorizes the price anomalies or patterns for specific instruments or financial securities. Each of the instruments identified should be categorized as Random (if no pattern is identified), Mean Regression (range pattern), Trend or Momentum (trend pattern). With a number that tells how strong the pattern or predictability is for each of the instrument.

The input should only be the historical prices.

More about the project, please read before sending a proposal!

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I would like the project to be written in Python is it can be easier integrated with platforms already in the market, but anything could work. I do not mind if Google ML or Microsoft Azure is used as well.

Квалификация: Алгоритмы, Azure, Machine Learning (ML), Python, Статистический анализ, Статистика

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О работодателе:
( 22 отзыв(-а, -ов) ) Panama, Panama

ID проекта: #18810371



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