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):
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Best regards Chris
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Hi I am Ibrahim, and I am a data scientist, I can help you with statistical analysis and deep learning, please share what type of ML DL and stats model do you want me to apply. Regards, Ibrahim Anjum
I have worked on varied data , hence I beleive this is the project is best suited with the skills,do give me the opportunity to work ,I will do my [login to view URL] you