Predicting price behavior

Artificial intelligence is used to predict price behavior based on fundamentals, technical indicators, and other data. It does this by using machine learning algorithms that process large amounts of data and identify patterns and trends that may indicate future price movements in the market.

Fundamentals such as the overall state of the economy, the level of participation in projects, developer activity, and many other factors can affect the price of a cryptocurrency. Analyzing this data can help AI determine which projects are in good shape and can expect price growth in the future.

Technical indicators such as trading volumes, price changes at different timeframes and other technical indicators can also be used by SkyNET to identify future price movements. The use of this data can help AI identify price trends and patterns which may indicate possible future price movements.