I originally intended to post images with simple comments. However, after writing a few sentences, I realized this issue might be too complex to explain in just a few words, so I decided to write an article instead.
Of course, if you only look at the conclusions, nothing is too complex to be expressed in a few lines. For example:
TL;DR
In today's workflow, a data error occurred where [Market Performance] used data from the previous trading day. The underlying cause is actually a fundamental issue with the Transformer architecture: a lack of temporal and spatial awareness.
We have a range of established methods to ensure data accuracy, such as using two or more third-party APIs and cross-referencing them. However, exploring methods and workflows to ensure high accuracy in the AI era is more meaningful.