Requirements:

Each trader can only attempt to load trade data based on the following conditions

Daily data:
    -   Upto 3 load attempts with a total USD value of 5K. Other currencies will follow soon!

Weekly data:
    - No limit on load attempts with a total USD of 20K.

Solution design:

A Rest API in Golang. This API will perform a data load based on the input file as per the requirement.

There are also two simple clients - one using HTML and another using TypeScript.

Below are the components in the system:

Rest API: Data Models -> Controller -> Service -> Redis Layer -> Redis (on cloud)
	Data Models:
		- We have input and output data models. 
		- Input data model has fields used for loading data and an additional field to keep track of number of transactions for a day.
		- Output data model has fields used for demonstrating the output. This doesnt have any extra fields than the template.

	Controller:
		- API endpoints are defined here that would map to a function. This function passes on the request to service which will operate on the input data.

	Service:
		- The entire business logic for data processing and loading resides here.

	Redis Layer:
		- The persistence / key-value store chosen for this solution is Redis. Service layer passes the information on to this which has a template for the required Redis operations.

	Redis (on cloud):
		- Redis instance chosen for this solution is on cloud.

	Further, there are two supporting packages to hold constants and utilities for this solution.

Client:
	HTML Client 
		-   A simple html page that can be used to upload the input file. This will call the data load API and will fetch the results of the load status
		-   To load the client, just navigate to the project root and launch the file in the browser: index.html