CryptoForecaster – AI-powered cryptocurrency forecasting with local processing

Summary: CryptoForecaster uses LSTM neural networks via TensorFlow.js to analyze historical cryptocurrency data and generate BUY, SELL, and HOLD signals with detailed confidence metrics. It runs entirely in the browser, ensuring data privacy by processing locally without servers or tracking.

What it does

It forecasts prices for BTC, ETH, and top 20 cryptocurrencies using machine learning models that provide transparent metrics like Accuracy, Precision, Recall, and forecast-related statistics. Users can customize candle periods, forecast horizons, thresholds, and fees.

Who it's for

Designed for users interested in exploring AI-driven crypto forecasting on various devices for educational or experimental purposes.

Why it matters

It enables private, transparent analysis of market patterns without relying on external servers or data collection.