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.
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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.
36 фрилансеров(-а) в среднем готовы выполнить эту работу за $1360
https://www.freelancer.com/projects/Python/Qualitative-Comparative-Study-Face-13933384/ Have done many A.I and ML projects, you can check the reviews. Let's chat to discuss more.
Hi there, I have checked the details I have great experience with Algorithm, Azure, Machine Learning, Python, Statistical Analysis, Statistics. Please start the chat so we can discuss this job more in detail. Thanks