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There are several models for predicting Bitcoin and Ethereum prices, including:
Technical Analysis: Based on historical price data and market trends, using indicators like moving averages, RSI, and MACD.
Fundamental Analysis: Focuses on network metrics, adoption rates, and technological advancements (e.g., Ethereum 2.0).
Machine Learning Models: Algorithms like regression, neural networks, and decision trees are used to predict price based on large datasets.
Stock-to-Flow (S2F): A popular model for Bitcoin, correlating its price with the scarcity factor of the asset.
Sentiment Analysis: Analyzing social media and news to gauge market sentiment and predict price trends.
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