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所在平台: Udemy |
课程主页: https://www.udemy.com/course/algorithmic-trading-using-price-action-strategies/
课程评论：没有评论
课程名称：使用价格行为策略的算法交易 课程概述： 本课程旨在帮助有一定交易知识且希望学习量化交易或金融的学员，或对这个领域感兴趣并希望通过此知识实现盈利与多元化的学习者。如果你对以上问题中的任何一个有共鸣，本课程欢迎你的加入。所有应用将使用Python进行，但对于Python初学者也不必担心，因为我们提供了一个免费的Python速成课程，帮助你掌握这门技能。 在本课程中，你将学习如何利用价格行为创建稳健的交易策略。你将进行量化分析，以发现数据中的模式。掌握多个盈利策略后，将学习如何进行向量化回测，进而应用组合技术来降低回撤风险并最大化收益。你将理解投资组合管理者和专业交易员使用的量化分析方法，包括价格行为建模（支持、阻力）和交易图形检测。课程将教你如何正确进行回测，减少计算时间，并有效地组合策略。 为什么选择本课程而非其他课程？本课程不同于传统的编程、交易或机器学习课程，它结合了统计学、编程和金融理论的知识，为交易提供支持。课程讲师拥有数学与经济学学位，并在应用金融数学方面具有专业背景。学员可以通过注册我们的免费Discord论坛提问或阅读量化金融相关文章。此外，本课程提供30天满意退款保证，不容错过的机会，让你在这个迷人领域中提升自己的知识水平。
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 price action 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 techniques to reduce the drawdown and maximize your returns.You will learn and understand quantitative analysis used by portfolio managers and professional traders: Modeling: price action (Support, resistance) patterns detection (trading figures detection)Backtesting: Make a backtest properly without error and minimize the computation time (Vectorized Backtesting).Portfolio management: Combine strategies properly (Strategies portfolio).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.
