…Tibshirani , Tom Mitchell, or Bishop PRML. And learn finance from its own classics you can find in any "financial engineering" curriculum. There is one I liked though because of hands-on approach: "Machine Learning for Algorithmic Trading" https://www.amazon.com/Machine-Learning-Algorithmic-Trading-... just assume its listed "strategies" are a sort of primitive "hello world"
……Peterson 的《Algorithmic Trading》、Ernest P. Chan 的《Algorithmic Trading and DMA》、Barry Johnson 的《Trading Systems》、Emilio Tomasini 和 Urban Jaekle 的《Evidence-Based Technical Analysis》、David R. Aronson 的……Stefan Jansen 的《Machine Learning for Algorithmic Trading》
…Peterson - Algorithmic Trading, Ernest P. Chan - Algorithmic Trading and DMA, Barry Johnson - Trading Systems, Emilio Tomasini & Urban Jaekle - Evidence-Based Technical Analysis, David R. Aronson - Machine Learning for Algorithmic Trading, Stefan Jansen
我建议根据你自己的直觉去搞一个。我觉得这是个极好的实践方式。你会惊讶地发现它们其实可以非常简单。另外我也推荐几本书：- Stefan Jansen 的《Hands on Machine Learning for Algorithmic Trading》（Packt 出版社）- Eryk Lewinson 的《Python for Finance Cookbook》（Packt 出版社）。祝好！
I would recommend creating one from your own intuition. That's an awesome practice i think. You would be amazed on how simple they can be. Also some books i would recommend are: - Hands on Machine Learning for Algorithmic Trading, Stefan Jansen, Packt - Python for Finance Cookbook, Eryk Lewinson, Packt Cheers!
……恭喜。Packt 还有其他什么好书推荐吗？我同意，Packt 的质量确实比其他出版社差得多。按经验我一般都绕着走，但偶尔也能淘到宝。我一直在看《Machine Learning for Algorithmic Trading》。感觉就像是维基百科的粗暴搬运，加上一堆代码写得糙烂的 jupyter notebooks。我拿不准费劲啃完这堆烂摊子到底值不值。https://www.amazon.com/Machine-Learning-Algorithmic-Trading-...
…Congrats. Any other suggestions for good Packt books? I agree, Packt’s quality is much lower than other publishers. As a rule of thumb I stay away but occasionally there’s a gem. I’ve been looking at “Machine Learning for Algorithmic Trading”. It feels like a dump of wikipedia and a bunch of jupyter notebooks with sloppy code. I cannot decide if it’s worth the pain if slogging through that mess. https://www.amazon.com/Machine-Learning-Algorithmic-Trading-...
……Tibshirani、Tom Mitchell，或者 Bishop 的 PRML。至于金融，去任何“金融工程”课程里找经典教材学就行。不过有一本我挺喜欢的，因为偏实战：《Machine Learning for Algorithmic Trading》https://www.amazon.com/Machine-Learning-Algorithmic-Trading-... 权当书里列的那些“策略”是某种原始的“hello world”就好
…Tibshirani , Tom Mitchell, or Bishop PRML. And learn finance from its own classics you can find in any "financial engineering" curriculum. There is one I liked though because of hands-on approach: "Machine Learning for Algorithmic Trading" https://www.amazon.com/Machine-Learning-Algorithmic-Trading-... just assume its listed "strategies" are a sort of primitive "hello world"
……Peterson 的《Algorithmic Trading》、Ernest P. Chan 的《Algorithmic Trading and DMA》、Barry Johnson 的《Trading Systems》、Emilio Tomasini 和 Urban Jaekle 的《Evidence-Based Technical Analysis》、David R. Aronson 的……Stefan Jansen 的《Machine Learning for Algorithmic Trading》
…Peterson - Algorithmic Trading, Ernest P. Chan - Algorithmic Trading and DMA, Barry Johnson - Trading Systems, Emilio Tomasini & Urban Jaekle - Evidence-Based Technical Analysis, David R. Aronson - Machine Learning for Algorithmic Trading, Stefan Jansen
我建议根据你自己的直觉去搞一个。我觉得这是个极好的实践方式。你会惊讶地发现它们其实可以非常简单。另外我也推荐几本书：- Stefan Jansen 的《Hands on Machine Learning for Algorithmic Trading》（Packt 出版社）- Eryk Lewinson 的《Python for Finance Cookbook》（Packt 出版社）。祝好！
I would recommend creating one from your own intuition. That's an awesome practice i think. You would be amazed on how simple they can be. Also some books i would recommend are: - Hands on Machine Learning for Algorithmic Trading, Stefan Jansen, Packt - Python for Finance Cookbook, Eryk Lewinson, Packt Cheers!
……恭喜。Packt 还有其他什么好书推荐吗？我同意，Packt 的质量确实比其他出版社差得多。按经验我一般都绕着走，但偶尔也能淘到宝。我一直在看《Machine Learning for Algorithmic Trading》。感觉就像是维基百科的粗暴搬运，加上一堆代码写得糙烂的 jupyter notebooks。我拿不准费劲啃完这堆烂摊子到底值不值。https://www.amazon.com/Machine-Learning-Algorithmic-Trading-...
…Congrats. Any other suggestions for good Packt books? I agree, Packt’s quality is much lower than other publishers. As a rule of thumb I stay away but occasionally there’s a gem. I’ve been looking at “Machine Learning for Algorithmic Trading”. It feels like a dump of wikipedia and a bunch of jupyter notebooks with sloppy code. I cannot decide if it’s worth the pain if slogging through that mess. https://www.amazon.com/Machine-Learning-Algorithmic-Trading-...