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The strength of AI programming tools in trading strategy development has recently gained new insights. Some friends used Claude Code to build a cross-exchange arbitrage system, and the project completion level was surprising. The entire architecture is divided into two key modules: one is the automatic identification mechanism for arbitrage targets, and the other is real-time market comparison between Binance and Bybit. Judging solely from code quality and logical rigor, AI applications in quantitative trading are already quite mature. This solution involves market data collection, data processing, trading signal generation, and other steps, covering the complete process of arbitrage trading. For those interested in getting started with quantitative trading or optimizing existing strategies, this AI-assisted development approach is indeed worth referencing.