Blockchain Forecast
Stock market prediction, especially for cryptocurrency, is challenging due to noise and volatility. This product uses a deep learning framework for financial time series, integrating stacked autoencoders and long-short-term memory (LSTM), a type of recurrent neural network suitable for learning from experience to predict time series with arbitrary time steps. It supports predictions for tokens like Bitcoin (BTC), Ethereum (ETH), ZCash (ZEC), Stellar (XLM), Ripple (XRP), Bitcoin Cash (BCH), Dash, Litecoin (LTC), and Monero (XMR). More details and code are available on the application page and GitHub account.