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Multivariate Statistical analysis for prediction

I have an historic sqlite database file, with 100 tables.

Each table has more than 10000 registers.

Registers include price and timestamp (Example 1 register each minute)

Each register have about 20 indicators that will help to predict if price will go UP or DOWN.

I need a model for prediction of price direction using data of these indicators

Will be a Python script to show stats receiving the file and a probability as minimum example:

python3 [login to view URL] [login to view URL] UP 0.8

- Results for each table and general results (using 100tables of data)

0< indicator 1 <0.1

0.23 < indicator 2 < 0.42

0.9 < indicator 3 < 2.0

...

- # of positive cases in table and in general.

You will use a python statistics package or AI model...

If you understood say "Hello eduardb" in your bid.

Ideally explain in private chat your experience and way to solve that.

Edit: Example of a single table attached

Habilidades: Python, Estatísticas, Análise estatística, SciPy, Machine Learning (ML)

Sobre o Cliente:
( 21 comentários ) NYC, Chile

ID do Projeto: #33961955

39 freelancers estão ofertando em média $218 nesse trabalho

(135 Comentários)
7.6
Fazeennazar

*** "Hello eduardb" *** I read your project description very carefully. I have a deep understanding and experience in the areas of python that you mentioned. I've previously worked on so many projects for other employ Mais

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7.0
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7.1
saubhagyamweb

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6.6
suyashdhoot

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WycOj

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nrajuu07

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5.9
fastlabindia

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5.8
sramireddy065

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5.5
mykhailodew

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5.3
techplusintl

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5.6
KolaPeters

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braincenter

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saba106

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4.5
pyanskiy

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