Multivariate Statistical analysis for prediction
Бюджет $30-250 USD
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
39 фрилансеров(-а) готовы выполнить эту работу в среднем за $218
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hello eduardb Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data fro Больше
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Hello eduardb ★★★ Machine Learning (ML) / Python / C++ Expert ★★★ 10+ Years of Experience ★★★ I've read requirements and ready to build a model for prediction of price direction . We are a team of professional members Больше
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