![]() ![]() Read all the details in the project repository given above.In addition to fixing the API, we completely restructured the API to make it approachable and easy to use and added several additional features like stock sentiment analysis, tweets, custom portfolio management, and many more.We believe that improving this API would have a significant impact on the users of this API. First, open the Yahoo Finance API documentation page. We found a significant number of flaws and challenges in the API which makes it a suitable API to target for improvement. If you already know your API URL, or you want to use the same example URL as us, just skip to Step 4.That said, for non critical use it’s a handy library. Moreover yahoo finance isn’t always 100 correct in my experience. So if they change their backend (which has happens before) the library probably won’t work anymore. yayFinPy, which is short for Yet Another Yahoo Finance Python API improves upon yfinance and part of academic course project at CMU in the course API Design and Implementation - 17780 taught by: Josh Bloch and Charlie Garrod. The catch is that the data comes from yahoo finance.yfinance solved this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance.The dates have to be provided in (in YYYY-MM-DD. ![]() Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working. Below are the input arguments for calling the method, from the modules documentation.Write and run unit tests for your prototype.This can be layered atop the original, broken API, or it can be written atop a lower layer of the system. Implement a working prototype of your fixed API.Once the API is understood and we gained confidence in it, we were to write high quality documentation. ![]()
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