Which is better than SVM?

As an expert in cryptocurrency and finance, I often encounter various machine learning algorithms used to analyze market trends and predict future outcomes. SVM, or Support Vector Machine, has been a popular choice for its effectiveness in classification tasks. But I'm curious, which algorithm or approach stands out as a better alternative to SVM in terms of accuracy, efficiency, and versatility, especially when applied to the complex and dynamic world of cryptocurrency and financial markets? Could you elaborate on the advantages of this alternative and how it might outperform SVM in specific use cases within our field?