A neural network is a computational model inspired by the way human brains work. It consists of layers of interconnected nodes, or neurons, that process information. In the context of cryptocurrency, neural networks can be used for various tasks, like price prediction, fraud detection, and market analysis.These models learn from historical data, identifying patterns and trends that might not be obvious to humans. By adjusting the strengths of connections between neurons based on input data, the network becomes better at making predictions over time. In trading, for instance, neural networks can analyze vast amounts of market data to forecast price movements, helping investors make informed decisions. Additionally, they play a role in enhancing the security of blockchain systems by identifying unusual transaction patterns that could indicate fraudulent activity.Overall, neural networks contribute to the efficiency and safety of financial activities, allowing for smarter decision-making in a rapidly evolving space.