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paired time series correlation

I'm looking for a python expert who can run docker compose v 2.5 or greater on their computer.

we need to find high correlations between two 4-6 month time sereies samples aggregated from all stocks in time in the s&p 500

I represent a data science company and can provide you a few contracts.

please select a time here [login to view URL]

please have these answers during interview

1. are you quick with docker-compose and docker?

2. are you quick with python libraries such as pandas

3. do you python asynchronous or multiprocessing to speed up a thorough ranking analysis

4. what type of table do you need to find an aggregate correlation coefficient sum for a time in s&p so that we find the highest correlation between today and another bear market

5. learn this first [login to view URL]

6. do you know git and have a bitbucket account?

7. are you okay to earn a bonus for finishing this project in 2 weeks worth 25$

for ~41$ per milestone

1. function which returns data from db or online time series

1.1. particularly stock_name_for_embedding, date_for_embedding and ohlcv for each stock in the s&p 500

1.2. my current code base will make this easier

2. mycorrelation function which returns correlation coefficient for 2 time series parameters with same candle type and length in time series

3. create correlation_ranker(backwards_from_now=True, time_length, candle length) which returns a ranking of time series matches

Skills: Python, Software Architecture, Linux, Machine Learning (ML), Statistics

About the Client:
( 13 reviews ) Carrollton, United States

Project ID: #34010394

18 freelancers are bidding on average $204 for this job

(45 Reviews)
7.4
(187 Reviews)
7.5
saubhagyamweb

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(40 Reviews)
6.7
letshappy

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$240 USD in 7 days
(48 Reviews)
6.2
borutflis

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(38 Reviews)
5.9
sajjadtaghvaeifr

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5.9
fastlabindia

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6.1
bondarenkov

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4.2
datacode0023

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4.1
maurineted5

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0.8
TMBS

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bazilioserhii

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DigimartUSLTD

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0.0