How can a crypto trading bot make good decisions?
How do crypto trading bots formulate effective decision-making strategies? Do they rely solely on algorithmic analysis of market data, or do they incorporate additional factors like sentiment analysis or news events? Are there any specific algorithms or frameworks that are widely considered to be successful in the realm of crypto trading bots? How do these bots handle volatility and sudden market movements? Do they have the ability to adapt and learn from past experiences to improve their decision-making over time? Understanding the intricacies of how crypto trading bots operate and make decisions is crucial for investors considering utilizing such tools.