#BTCPrediction Predicting Bitcoin (BTC) prices is a complex endeavor due to the cryptocurrency's inherent volatility, market sentiment, and external factors.

🔍 Key Prediction Models and Techniques

Ensemble Learning Method (ELM)

MRC-LSTM Hybrid Model

CNN–LSTM with Feature Selection

By combining CNNs and LSTMs with feature selection techniques like Boruta, this model achieved an accuracy of 82.44% in predicting BTC price directions. Backtesting trading strategies based on these predictions yielded annual returns exceeding 6,600%.

Multi-LSTM-Sentiment Model

Incorporating Twitter sentiment scores with historical BTC data, this model utilized a three-layer LSTM architecture to predict price movements. It demonstrated improved accuracy by integrating social media sentiment.

Gated Recurrent Unit (GRU) Ensemble

A recent study found that combining the 'Low' price feature with a GRU-based ensemble model enhanced directional accuracy in BTC forecasting. This approach emphasizes the importance of specific time series features.

📊 Current Bitcoin Price Snapshot

As of May 7, 2025, the current Bitcoin price is $97,380 USD, reflecting a 3.27% increase from