Building a Price Prediction Model in Python: A Step-by-Step…
By Damilola Esebame
AI summary of the source article
Python libraries such as scikit-learn and yfinance are standard tools for developing cryptocurrency price prediction models. Studies show that sequential models like LSTM outperform baseline Linear Regression in capturing Bitcoin price dynamics.
Key facts
- A 2024 study published in the Dinda Journal found LSTM significantly outperformed Linear Regression for Bitcoin price prediction, where Linear Regression achieved an F1 Score of 0.88.
- The yfinance Python package downloads historical open, high, low, close, and volume data for crypto pairs listed on Yahoo Finance.
- Common feature engineering for crypto price models includes moving averages over 7, 14, and 30 days, lagged returns, and the Relative Strength Index.
Source excerpt · FinanceFeeds
KEY TAKEAWAYS Python's scikit-learn library provides accessible Linear Regression and other machine learning models that serve as baseline tools for cryptocurrency price prediction using historical data. The yfinance package downloads historical price data for any crypto pair listed on Yahoo Finance, providing the raw dataset needed to train and test prediction models. A 2024 research paper compar…