🔗Data collection and merging

The dataset consists of the daily 'open, high, low, close' prices of Solana (SOL/USDT) in the futures market. Additionally, the input variables include 45 technical indicators that can be categorized into 6 types, such as momentum indicators, trend-following indicators, strength indicators, volatility indicators, candlestick patterns, and various price divergence structures. Other features are derived from the similarity of market movements and the interdependence of SOL/USDT with other cryptocurrencies, especially Bitcoin (BTC/USDT). Each sample comprises 54 variables. Unlike rule-based Machine Learning models, neural networks are not sensitive to different scales of measurement, thus the data is provided in raw form and not standardized.