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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-and-probability-for-quantitative-finance/
课程评论：没有评论
课程名称：量化金融的统计与概率 课程概述：如果您已经具备金融知识，并希望进一步深化以实现盈利和多样化，或者您对量化交易/金融感兴趣，甚至只是出于好奇想要了解这一领域，欢迎您参加本课程。本课程所有应用将使用Python进行，初学者无需担心，因为我们提供了免费的Python速成课程以帮助您掌握Python。在本课程中，您将学习如何利用统计学和概率论来增强交易策略。您将学习量化分析师使用的统计方法，以确定最佳止损和盈利点，并进行风险分析（VaR）。通过运用条件概率，您将提升成功交易的概率至70%。通过具体案例，您将深入理解投资组合经理和专业交易者所使用的多种统计与概率概念，包括描述性统计（均值、方差、标准差、协方差、相关性、偏度、峰度等）、概率论（随机变量、并集、交集、独立性、条件概率等）以及假设检验（理解过程、学生t检验、ad-fuller检验等）。 为什么选择这门课程？这不是一门编程课、交易课或统计课，而是一门将编程和统计应用于交易的课程。课程由数学与经济学专业的硕士生制作，专注于将数学应用于金融领域。您还可以通过注册我们的免费Discord论坛提问或阅读我们的量化金融相关文章。不妨把握这个机会，利用30天满意退款保证，提升您对这一迷人领域的知识。
You already have knowledge in finance and you want to go deeper to monetize and diversify your knowledge?You already have some trading knowledge and you want to learn about quantitative trading/finance?You are simply a curious person who wants to get into this subject?If you answer at least one of these questions, I welcome you to this course. All the applications of the course will be done using Python. However, for beginners in Python, don't panic! There is a FREE python crash course included to master Python. In this course, you will learn how to use statistics and probability to make your strategies stronger. You will learn the statistical methods used by the quantitative analyst to find the optimal stop loss and take profit and to perform a risk analysis (VaR). You will use the power of conditional probability to increase the beneficial trade to 70%.Through this example, you will learn and understand a lot of statistic and probability concepts used by portfolio managers and professional traders: Descriptive statistics: mean, variance, standard deviation, covariance, correlation, skewness, kurtosis,...Probability: random variable, union, intersection, independence, conditional probability,...Hypothesis Test: understand the process, student test, ad-fuller test,...Why this course and not another?This is not a programming course nor a trading course or a statistic course. It is a course in which programming and statistic are used for trading.This course is not created by a data scientist but by a degree in mathematics and economics specializing in mathematics applied to finance.You can ask questions or read our quantitative finance articles simply by registering on our free Discord forum.Without forgetting that the course is satisfied or refunded for 30 days. Don't miss an opportunity to improve your knowledge of this fascinating subject.
