AI quantitative algorithms can combine the data factors and encrypted derivative data generated by each node on the chain into a brand-new trading decision-making factor library as a new technology based on blockchain and artificial intelligence technology. Multi-level and multi-perspective analysis of node data is carried out using PB quantification, multi-factor currency selection, turtle trading system, cross-currency arbitrage, sector rotation, arbitrage analysis and statistics, grid trading, high-frequency trading, double moving average, and other models, and trading decisions are made based on probabilistic calculations, resulting in a more secure, transparent, decentralized, and efficient asset management experience. With the growing popularity of decentralized finance around the world, AI quantitative trading has gained the support of many leading international investment firms.