Just messing around with Google's AI. I wanted to see how well it does with coding, and honestly, it’s gotten better, but there's still room for improvement.
If you have some programming knowledge, it can actually be a decent tool to help brainstorm ideas.
So, as a little experiment, I whipped up this script to share here.
The idea is to make our predictions and share the details, so we can check who gets it closest to the mark.
The sentiment bar starts in the middle by default, which means it's neutral. If you lean towards the critical area, your sentiment turns negative, indicating a drop. On the flip side, if you move towards the optimistic area, your sentiment gets more positive, suggesting a rise.
Just a heads up, this isn’t to be taken seriously because of how volatile the market is, AND IT SHOULD NOT BE USED FOR REAL DECISIONS.
All you need to do is put in your estimated time, the sentiment percentage, and share the outcomes.
Requirements:
- Python
Code:
BtcTalk_forecast.py:
Here’s my take:
Both SARIMA and Prophet are popular models for forecasting Bitcoin prices.
Research shows that SARIMA is better for daily price predictions, while Prophet does a better job with monthly forecasts:
A Comparative Study between the Facebook Prophet Model and SARIMA for Bitcoin Price Prediction
This script grabs Bitcoin's historical data using yfinance.
A speculative look at Bitcoin
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The prediction that is approaching reality was as follows: $104,710.00 USD current price on June 3.
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