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This whitepaper introduces DolphinDB's comprehensive solution for cryptocurrency trading. Leveraging our extensive experience serving financial institutions, we've crafted a tailored approach that addresses key challenges of quantitative crypto trading in data access and storage, strategy development, and real-time computation. By implementing DolphinDB's solution, trading institutions can unlock unprecedented performance, dramatically boost development efficiency, and significantly reduce operational costs.

This whitepaper introduces Shark GPLearn, an advanced solution for quantitative factor discovery in financial markets, seamlessly integrated into the DolphinDB ecosystem. By leveraging CPU-GPU heterogeneous computing and genetic algorithms, Shark GPLearn addresses critical limitations of traditional methods and Python frameworks. This solution offers accelerated computational capabilities, enhanced algorithmic flexibility, and robust support for high-dimensional financial data.

This whitepaper introduces Octopus Complex Event Processing (CEP) engine for real-time event analysis. Unlike other streaming engines that focus on isolated event streams with the same type, Octopus CEP solution combines and analyzes multiple data streams, enabling comprehensive pattern recognition and correlation analysis. This helps you gain deeper insights from complex event relationships, make more informed decisions, and unlock new capabilities in real-time event processing.