abu追求的是一句话就能够说明的智能策略 abu能够帮助用户自动完善策略，主动分析策略产生的交易行为，智能拦截策略生成的容易失败的交易单。
现阶段的量化策略还是人工编写的代码，abu量化交易系统的设计将会向着由计算机自动实现整套流程的方向迈进，包括编写量化策略本身。
我们对未来的期望是：abupy用户只需要提供一些简单的种子策略，计算机在这些种子基础上不断自我学习、自我成长，创造出新的策略，并且随着时间序列数据不断智能调整策略的参数。
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We found that abupy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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