With the development of machine learning and big data, traditional equity trading system methods can no longer meet the current trading needs, and there are still problems such as low operating efficiency and serious homogeneity. Blockchain technology has the characteristics of decentralization and can also complete transactions through smart contracts, innovating the way of equity system transactions. The purpose of this paper is to build an equity trading system in combination with blockchain in the context of machine learning and big data and provide innovative trading methods, so as to provide reference and reference significance for the construction of my country’s equity market. This article uses literature data method, comparative analysis method, factor analysis method, and other methods to carry out research, in-depth study of machine learning and big data, blockchain-related concepts, system composition, application situation, etc., and discusses the allocation of equity trading market The functions of resources, risk diversification, risk transfer, price determination, etc., have built a blockchain equity trading system, designed a consensus mechanism, block generation protocol, block verification, decentralization, and smart contract platform, and finally conducted a national equity transaction the background of the market is analyzed, and the experimental results, simulation indicators, transaction time, transmission consumption, and other content of the system constructed in this article are analyzed. In the single-node test, the CPU usage of the PoW consensus mechanism algorithm reached 100%, but the improved PBFT consensus mechanism was only 16%, which saved a lot of computing power and improved computing performance.

中文翻译：

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基于机器学习和大数据算法的区块链股权系统交易方法与系统研究

随着机器学习和大数据的发展，传统的股权交易系统方式已经不能满足当前的交易需求，还存在运行效率低、同质化严重等问题。区块链技术具有去中心化的特点，还可以通过智能合约完成交易，创新股权系统交易方式。本文旨在在机器学习和大数据的背景下，结合区块链构建股权交易系统，提供创新的交易方式，为我国股权市场的建设提供借鉴和借鉴意义。本文采用文献资料法、比较分析法、因子分析法等方法进行研究，深入研究机器学习与大数据、区块链相关概念、系统构成、应用情况等，并探讨股权交易市场的配置资源、风险分散、风险转移、价格决定等功能，搭建了区块链股权交易系统，设计了共识机制、区块生成协议、区块验证、去中心化、智能合约平台，最终进行了全国股权交易，分析了市场背景，实验结果、模拟指标、分析了本文构建的系统的交易时间、传输消耗等内容。在单节点测试中，PoW共识机制算法的CPU使用率达到100%，