Building a Financial Data Processing System
Budget: $30 – $250 USD
The project aims to build a financial data processing system. The system needs to periodically call a third-party API to retrieve data every 1-3 minutes. The data scale can be described as follows:
There are 200 objects that need to retrieve data.
Each object has 7 data points to retrieve.
Each data point will have from several tens to several hundred data records (called X).
Each data record is very small, consisting of only 7 floating-point numbers.
The retrieved data is stored in a database.
Note about X:
X is a number calculated based on the amount of data currently in the database. When calling the third-party API, X will be a parameter sent along with the request.
The system needs to ensure that data retrieval is completed within 2 minutes. Python is the programming language used, while the database design and language are not yet determined.
There are 200 objects that need to retrieve data.
Each object has 7 data points to retrieve.
Each data point will have from several tens to several hundred data records (called X).
Each data record is very small, consisting of only 7 floating-point numbers.
The retrieved data is stored in a database.
Note about X:
X is a number calculated based on the amount of data currently in the database. When calling the third-party API, X will be a parameter sent along with the request.
The system needs to ensure that data retrieval is completed within 2 minutes. Python is the programming language used, while the database design and language are not yet determined.