Bitcoin Daily Data With Market Sentiment

The dataset contains the current market price of bitcoin of that particular day along with the data of previous day's Volume, High and Low.
The volume is the number of bitcoins traded in the previous day.
The price is in dollars.
The change is in percentage.
When I trained this model using a neural network, I got a pretty good accuracy of around 90%. I have even prepared a notebook with the code and the best version of the model has been saved.
I am still a learner, so I don't know why it performs so good. I want some reviews on this so I can improve and learn from the Kaggle community!
Thank You