I need an an application that supports determining the risks of using certain trading signals for a trading strategy using a so-called Monte Carlo method.
Note: A Zip file for code for your system - excluding libraries that will merely bloat the zip file.
A core of Python code is provided for this approach, within this document, and that Python code must be used for the application created. The approach involves identifying trading signals in financial time series and capturing the risk associated to these. Such an assessment might support a subsequent evaluation of a trading strategy.

Requirements: You must use: (i) Google App Engine, (ii) AWS Lambda, and (iii) one of the other scalable services in AWS: Elastic Compute Cloud (EC2), Elastic MapReduce (EMR) or – should you wish to explore – EC2 Container Service (ECS). Subsequent mentions of scalable services in this document mean Lambda plus your choice of (EC2 or EMR or ECS). ii. Your system must offer a persistent front-end through which the user will initialise (create or ‘warm up’, as necessary) and terminate (as necessary to remove any possible continuous cost) scalable services, and be able to undertake and see the results of analysis related to the selections they have made. iii. The scalable services, and not Google App Engine, must calculate risk values – Google App Engine can be used to collect and average respective risk values.

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