Do correlation & regression testing on (stock) data sets
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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.
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3 Jun 2018
United Kingdom
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