预测性连续时间神经网络在证券市场交易操作中的集成
Integration of a Predictive, Continuous Time Neural Network into Securities Market Trading Operations
摘要：
本文介绍了最近的发展和测试实施的连续时间递归神经网络，已被配置为预测证券的变化率。它介绍了流行的技术分析指标的背景下的结果，并强调了持续预测能力对证券市场交易业务的潜在影响。
英文摘要：
This paper describes recent development and test implementation of a continuous time recurrent neural network that has been configured to predict rates of change in securities. It presents outcomes in the context of popular technical analysis indicators and highlights the potential impact of continuous predictive capability on securities market trading operations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
