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Statistical Analysis, Deep Learning, Machine Learning. Financial Data, CSV Dataset is given

I need somebody to analyse a given dataset with a very own approach of statistical analysis, deep learning or maschine learning.

The dataset contains reportings of 166 hedgefunds.

Each hedgefund reports entries like the one i uploaded.

How does amount of cusip per date(if more hedgefunds report the stock this number will rise ), changes in pieces, changes in price(value/price), changes in put-pieces (put options are marked with put/call: -1), changes in call pices(put options are marked with put/call: 0) of the past will affect the price of a stock in the future?

Try to train a model which can predict the price of stocks in future.

Can you find any dependency? I have done this task already and need to compare my results.

I used Mongo DB with Python, but you can choose the tool you prefer.

The Dataset(appr. 200 MB):

[login to view URL]

Best regards Chris

Beceriler: İstatistik, Machine Learning (ML), Veri Madenciliği, İstatistiksel Analiz, SPSS İstatistik

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( 9 değerlendirme ) Biebertal, Germany

Proje NO: #30225705

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