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所在平台: Udemy |
课程主页: https://www.udemy.com/course/multi-strategy-quant-systems-from-scratch-with-python-code/
课程评论：没有评论
课程概述： 《多策略量化系统 - Python算法交易入门》是由HangukQuant提供的一门课程。该课程并非Python教程，直接进入实践，采用直截了当的编码方式。尽管课程时长只有7小时，但内容较为密集。课程没有基础介绍，期望学生积极参与、提问，并在“问题区”我们将会整理学生的问题。可下载的代码将包含在检查点讲座中。 在课程中，您将观看到量化交易者如何在Python中实现一个简单的交易系统，从数据管道到订单管理，快速构建稳健和灵活的模块化系统，并带回专业设置以进行调整和改进。您将学习如何从零开始在Python中实现多策略量化系统，同时了解构建稳健框架以实现阿尔法信号和资本配置。 此外，课程还将教授行业标准的风险管理技术，如波动率目标策略和技术多样化。您将通过模块化的方法来编写算法交易系统，并能够快速切换不同经纪商，所有这些都可以在同一代码基础上完成。课程内容并不适合初学者，要求学生具备金融知识和编程方法论，能够独立理解代码，或至少能够学习理解数千行中等规模代码系统的能力。 课程首次录制后进行了加速并配有选定段落的配音，以满足Udemy课程要求。您还可以选择无音频编程，主要依靠文本解释。由于课程为高级中级水平，可能会遇到一些困难，因此建议反复观看某些讲座，并在“问题区”积极提问。没有编程经验的学生建议先学习Python、编程方法论或金融数据科学课程。 请注意，该课程不属于Udemy优惠计划，亦无Udemy促销活动。我们相信课程内容极具价值，因此在量化之旅中的学习成本较低。
Multi-Strategy Quant Systems in Python from Scratch - A First Course in Algorithmic Trading by HangukQuant.As this is not a Python tutorial, we get right down to business and adopt a no-nonsense coding approach. It is advised that you slow down the pace of the course to your own needs. Even though only 7 hours of lectures have been distilled, the material within is fairly heavy. It is a walkthrough without the introductory explanations - since there are no explanations within the lecture walkthroughs, all students are expected to be hands-on and actively participate by asking questions; which we will compile in the Questions Section. Code is downloadable in Checkpoint Lectures.Watch a (sped-up) live recording of a quant implementing a shoestring trading system for non-HFT in Python, from data pipelines to order management. Build robust and flexible modular systems + take home a professional setup to adapt and improve.HangukQuant is the author of the quant trading blog on Substack- Mathematics, Finance and Their Babies, with many years of experience in quant trading.Implement a Multi Strategy Quantitative System in Python from Scratch, while learning how to build robust frameworks for implementation of alpha signals and capital allocation. Learn industry standards in risk management, such as volatility targeting schemes and technical diversification. Code along an algorithmic trading system with modular approaches to integrate with multiple brokerages and switch between them in a matter of seconds, all with the same code.Build diagnostic tools to analyse your trading system.Integrate with multiple brokerages in a single code base.Learn industry standards in risk management, such as volatility targeting schemes and technical diversification.Take back with you the final product - Your Very Own, Robust Quant Systems to hone and develop!Build quantitative strategies implementing factor premia and be given guidance for serious students of the market.This course is not a beginner course; financial literacy, and programming methodology is expected. Students are expected to be able to understand code without being prompted, or at least learn how to comprehend medium-sized code systems of thousands of lines of code. The course was first recorded and then sped up and voiced over chosen sections to meet Udemy course requirements. You may also choose to code along without the audio as the textual explanations should be primarily useful. As the course is an Advanced-Intermediate level, do note that you may face some difficulties along the way. It is expected that you would need to rewatch some of the lectures, and please do ask away in the Questions Section.Those without programming experience are encouraged to first undergo courses in Python / Programming Methodology / Data Science for Finance courses.Note that this course is not part of the Udemy Deals program, and no Udemy promotions are available. We believe that the material within is highly valuable and the cost price is cost de minimis in your quant journey.
