August 2022
Intermediate to advanced
394 pages
12h 32m
Chinese
Content preview from 金融人工智能：用Python实现AI量化交易
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
xvi
｜
前言
本书并非就每个主题所涉及的各种观点给出一个中立、全面的看法。书中所展示的内
容主要基于我的个人经验、演示示例和
Python
代码的实践考量。很多示例是为了展示
特定观点和结果而有意选择并做出调整的。因此，难免会被认为存在数据探查和过拟
合的现象
[
关于这些主题的讨论，详见
Hilpisch
（
2020
）的第
4
章
]
。
本书的主要目标是使读者能够使用书中的代码示例作为框架，探索运用人工智能进行
金融交易这一令人兴奋的领域。为实现此目标，本书始终以许多简化的假设为基础，
并且主要采用
金融时间序列数据以及基于此类数据的衍生特征
。在实际应用中，当然
不必局限于金融时间序列数据，也可以使用多种其他数据类型和数据源。本书的特征
衍生方法隐式地假设了金融时间序列及衍生特征显示出的模式至少在一定程度上会随
时间持续存在，并且可以用来预测未来的价格走势。
在此背景下，本书提供的所有示例和代码本质上都是技术性和说明性的，并不代表任
何推荐或投资建议。
对于那些想部署本书中介绍的方法和算法交易策略的读者，我的另一本书
Python for
Algorithmic Trading: From Idea to Cloud Deployment
提供了更多面向过程的技术细节，
它与本书在许多方面是相辅相成的。对于刚开始在金融领域使用
Python
的读者，以及
需要温故知新或者参考资料的读者，我的《
Python
金融大数据分析》这本书完整地涵
盖了在金融领域应用
Python
所涉及的重要主题和基本技能。
排版约定
本书使用如下排版约定。
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.