Do correlation & regression testing on (stock) data sets
- or -
Post a project like this$$$
- Posted:
- Proposals: 11
- Remote
- #2111132
- Expired
13012461910244145104522843251737828233752219165062212680130097122878991036932
Description
Experience Level: Expert
We are developing automatic stock trading strategies. Therefore, we are looking for a creative data savvy freelancer to (i) come up with and (ii) perform correlation & regression analyses on data sets influencing stock prices.
So for example “the correlation between the number of warm sunny days and the stock price of an ice cream maker” or “the correlation between the oil price and an oil company like Shell” (these are very simple examples, but they are used here to clarify what we need)
Your job is to come up with data set(s) that strongly correlate with specific public stock companies. And perform analysis on the level of correlation/regression.
Other requirements:
- we need to be able to actually ACT on the strategies. This means that we are looking for events (= data sets) which happen on T = t which have a high probability of predicting what happens to the stock price between T = t and T = t+1.
- you have to come up with data sets (both from the stock price as well as the variables which influence the stock price)
- the deliverable will be (a couple of) sets of variables on the one hand and a particular stock on the other hand which correlate very well and further regression analysis on these variables so that we can start the predict the future stock price based on these variables
So for example “the correlation between the number of warm sunny days and the stock price of an ice cream maker” or “the correlation between the oil price and an oil company like Shell” (these are very simple examples, but they are used here to clarify what we need)
Your job is to come up with data set(s) that strongly correlate with specific public stock companies. And perform analysis on the level of correlation/regression.
Other requirements:
- we need to be able to actually ACT on the strategies. This means that we are looking for events (= data sets) which happen on T = t which have a high probability of predicting what happens to the stock price between T = t and T = t+1.
- you have to come up with data sets (both from the stock price as well as the variables which influence the stock price)
- the deliverable will be (a couple of) sets of variables on the one hand and a particular stock on the other hand which correlate very well and further regression analysis on these variables so that we can start the predict the future stock price based on these variables
Susan S.
100% (142)Projects Completed
96
Freelancers worked with
107
Projects awarded
15%
Last project
2 May 2024
United Kingdom
Susan's other projects
New Proposal
Login to your account and send a proposal now to get this project.
Log inClarification Board Ask a Question
-
There are no clarification messages.
We collect cookies to enable the proper functioning and security of our website, and to enhance your experience. By clicking on 'Accept All Cookies', you consent to the use of these cookies. You can change your 'Cookies Settings' at any time. For more information, please read ourCookie Policy
Cookie Settings
Accept All Cookies