用于学习期权/交易所交易技术的书籍或资源
我想从软件工程师的角度开始学习“期权/交易所交易技术”。有人可以给我有关书籍或资源的建议吗?
谢谢
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我想从软件工程师的角度开始学习“期权/交易所交易技术”。有人可以给我有关书籍或资源的建议吗?
谢谢
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您可能还想将这个问题发布到致力于量化金融的 http://quant.stackexchange.com 上。
这是一篇很好的文章,涵盖了基础知识以及书籍和其他资源的链接:http://www.selectorweb。 com/algorithmic_trading.html
我可以告诉你,此类事情的最高级别热门技术是大规模并行计算,因为时间至关重要。 F# 是一种需求量很大的语言,英国伦敦目前似乎处于世界领先地位。另一种流行的语言是 Haskell。
许多公司雇佣了多名博士,数学工作变得异常激烈。正如你可以想象的那样,拥有数百万美元风险的公司会尽一切努力来获得优势。
此博客文章http: //blogs.msdn.com/b/dsyme/archive/2011/04/15/some-f-jobs-in-london.aspx有最近的一些工作列表该领域的职位空缺以及薪资。
我将尝试为您提供一些学习资源的具体链接,但正如您可以想象的那样,公司倾向于将最好的算法保留给自己。在 interium 中,您可能会发现两个有用的链接:
http://blogs.msdn.com/b/dsyme/archive/2011/01/12/f-for-energy-trading-and-energy-portfolio-optimization.aspx
<一个href="http://cashforlifetv.com/repo/index.php?option=com_content&view=article&id=135%3af-how-it-performs-in-hft-high-Frequency-trading-latency-& ;catid=1%3alatest-news&Itemid=75" rel="nofollow">http://cashforlifetv.com/repo/index.php?option=com_content&view=article&id=135:f-how-it-performs-in-hft-high-Frequency-trading-延迟-&catid=1:latest-news&Itemid=75
You may want to also post this question on http://quant.stackexchange.com which is devoted to quantitative finance.
Here is a good post that covers the basics with links to books and other resources: http://www.selectorweb.com/algorithmic_trading.html
I can tell you that the hot technology for this sort of thing at the highest levels is massively parallel computing as time is of the essence. F# is a language in high demand and London, England would seem to be leading the world right now. Another popular language is Haskell.
The mathematics get extremely intense with many of the firms employing multiple phds. As you can imagine with millions of dollars at stake firms do everything they can to get an edge.
This blog post http://blogs.msdn.com/b/dsyme/archive/2011/04/15/some-f-jobs-in-london.aspx has a recent list of some of the job openings in this area along with salaries.
I will attempt to get you some specific links to learning resources, but as you can well imagine firms tend to keep the best algorithms to themselves. In the interium here are two links you may find useful:
http://blogs.msdn.com/b/dsyme/archive/2011/01/12/f-for-energy-trading-and-energy-portfolio-optimization.aspx
http://cashforlifetv.com/repo/index.php?option=com_content&view=article&id=135:f-how-it-performs-in-hft-high-frequency-trading-latency-&catid=1:latest-news&Itemid=75