Predicting Bitcoin's Price -RNN LSTM - Jan1 - April 16, 2023

 Using an RNN model, I tried to predict Bitcoin's price from January 1, 2023 - April 16, 2023. Overall, I followed the same format as my past price predictions; however, in this model, I only ran 75 epochs as opposed to 100. The mean square error was higher but I don't believe this made much of a difference with the price predictions.


Here is the info:

Recurrent Neural Network (LSTM)

Training on 60 days of past price

Predicting 1 day out

Training data: June 20, 2021 - Dec 31, 2022

Training epochs: 75

Training mean square error: loss: 0.0027

Testing data: January 1, 2023 - April 16, 2023

Data source: Coingecko.com


Here is the chart detailing the actual Bitcon's price with the RNN predictions.






Comments

Popular posts from this blog

Coingecko Error: Exceded Rate Limit

Reducing my request from Conigecko

Is Solana dead? Thoughts from ChatGPT.