TPO (market profile) stats based on eSignal data

I am looking for someone who can help me with the creation of two "price behavior matrices", based on a TPO (market profile) perspective, pulling data from eSignal. The matrices would show the historical daily behavior of some 500 securities set by the user. An simple example of this could be "What is the average return of security A for the remainder of the day if it trades from POC (point of control) to VL (value low)." The sheets would have some 25 cells with different calculations * N securities. None of the calculations and/or their logic is what I would consider complex. This is more of a task of extracting the data from eSignal efficiently, treating the TPO (market profile) correctly, and displaying the data. My preference is for the matrix not to be displayed within the eSignal platform, but rather as a free standing object that is only pulling the data from eSignal. I am open for suggestions as to what the most reliable/quickest approach/language is to accomplish this.

Previous experience from using eSignal and involvement in trading related projects a big plus.

Skills: Data Processing, Excel, R Programming Language, Statistical Analysis, Statistics

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About the Employer:
( 0 reviews ) Sweden

Project ID: #16500015

4 freelancers are bidding on average kr1964 for this job


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kr1647 SEK in 10 days
(124 Reviews)

Hi, I have done robots for Ninja Trader (Ninja Trader C# Strategy Scripts), and I've done a small research now and found a C# source code for working with eSignal, I want to try this, I like to solve this kind of chall More

kr1882 SEK in 10 days
(6 Reviews)

I read your project and I understood your project. Some days ago I have finished the same task. So your job very easy for me. I am available right now. I am waiting for your reply. Thanks

kr995 SEK in 3 days
(1 Review)

Hi, I understand MarketProfile and its terminologies. I have developed algos for various clients and I will help you pull the data from esignal and analyse it correctly.

kr3333 SEK in 10 days
(0 Reviews)