|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/algorithmic-trading-for-beginners-from-zero-to-hero/
课程评论:没有评论
课程名称:初学者的算法交易:从零到英雄 课程概述:您想创建算法交易策略吗?您已经对交易有所了解,希望学习定量交易/金融吗?或者您只是对这一领域充满好奇,想将其变现并丰富自己的知识?如果您对以上问题中的任意一个回答是肯定的,那么欢迎您参加本课程。本课程将全程使用Python进行应用,但对于Python初学者也无需担心,因为我们提供了一个免费的Python速成课程,帮助您掌握Python。 在本课程中,您将学习如何利用技术分析创建稳健的交易策略。课程将进行定量分析,以发现数据中的模式。一旦您掌握了多种盈利策略,我们将学习如何进行矢量回测。接着,您还将应用投资组合和风险管理技术,以降低回撤并最大化回报。课程内容包括: - 建模:学习使用技术分析(如移动平均、相对强弱指标)和条件组合。 - 回测:如何正确地进行回测,减少错误并优化计算时间(矢量回测)。 - 风险管理:管理回撤(止损),合理组合策略(策略投资组合)。 为何选择本课程?本课程并不是单纯的编程课程、交易课程或机器学习课程,而是综合了统计学、编程与金融理论的交易课程。课程由一位数学和经济学学位教师授课,专注于金融应用数学。您可以通过注册我们的免费Discord论坛提出问题或阅读我们的定量金融文章。此外,课程提供30天满意退款保证,不容错过提升您对这一迷人主题知识的机会。
Do you want to create algorithmic trading strategies?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 to monetize and diversify your knowledge?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 technical analysis to create robust strategies. You will perform quantitative analysis to find patterns in the data. Once you will have many profitable strategies, we will learn how to perform vectorized backtesting. Then you will apply portfolio and risk management techniques to reduce the drawdown and maximize your returns.You will learn and understand quantitative analysis used by portfolio managers and professional traders: Modeling: Technical analysis (Moving average, RSI) and condition combination.Backtesting: Do a backtest properly without error and minimize the computation time (Vectorized Backtesting).Risk management: Manage the drawdown(Stop loss), combine strategies properly (Strategies portoflio).Why this course and not another?This is not a programming course nor a trading course or a machine learning course. It is a course in which statistics, programming and financial theory 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.