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所在平台: Udemy |
课程主页: https://www.udemy.com/course/trader-at-elite-fund-fx-fair-value-trading-strategy/
课程评论：没有评论
课程名称：2024年全新外汇交易课程！ 课程概述：本课程将带您了解全球一些最佳对冲基金是如何进行外汇（FOREX）交易的。讲师在全球一些最具声望的基金中担任前台职务，积累了丰富的经验。通过在Bluecrest Capital和Brevan Howard Asset Management的工作经历，讲师的目标是向零售交易者传授机构交易者在金融市场中的思维方式和交易策略。零售交易者与对冲基金交易者的成功差异明显，主要源于信息的不对称。零售交易者往往倾向于依赖技术分析，而机构交易者尽管也会使用技术分析，但它仅仅是交易过程中的一小部分。机构交易者更加重视数学和统计技术，以识别市场的错误定价，旨在利用这些不对称机会。 本课程将介绍一种被广泛认为是外汇交易中最佳策略之一的方法。您将学习该策略的工作原理、核心组成部分，以及如何在Python中实施该策略并生成交易想法。然后，课程将着重关注不同的策略回测方法，并探索进一步开发和优化该策略的其他途径。到课程结束时，学生应该能够构建多种货币的专有公允价值模型，并利用这些模型识别市场中的不对称机会。
This course will give you exposure to how some of the best hedge funds on the planet trade FX (FOREX). I have spent the vast majority of my career in front office roles at some of the most prestige funds on the planet. My goal is to leverage my experience at Bluecrest Capital and Brevan Howard Asset Management and teach retail traders how institutional traders think about and trade financial markets. There is a clear disparity between the success of retail traders and hedge fund traders, most of this can be attributed to the information asymmetry between the two. Retail traders tend to be very technical analysis driven, whereas, whilst institutional traders incorporate technical analysis it is a small part of their trading process. They focus heavily on mathematical and statistical techniques to identify mis-pricing in markets and aim to take advantage of these asymmetric opportunities.This course will give you exposure to one of the best and most commonly used strategies (in my opinion) for trading FX The course will teach you how the strategy works, the core components of the strategy, how to implement it in python and how to generate trade ideas using the strategy. We will then focus our attention to different ways to backtest the strategy as well as explore additional ways the strategy can be further developed/optimised. By the end of the course, students should be able to construct proprietary Fair Value models for a multitude of currencies and use these models to identify asymmetric opportunities in markets.
