NEW Cryptos / Cryptocurrencies trading course 2024!

所在平台: Udemy

课程主页: https://www.udemy.com/course/trader-at-elite-hedge-fund-crypto-pairs-rv-trading-strategy/

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课程简介

课程名称:2024年新数字货币/加密货币交易课程! 课程概述:本课程将为您展示世界上一些顶尖对冲基金如何交易不同的金融工具和资产类别。我在全球最著名的基金前台角色中度过了大部分职业生涯,我的目标是利用我在Bluecrest Capital和Brevan Howard资产管理公司的经验,教导零售交易者机构交易者如何思考和交易金融市场。零售交易者和对冲基金交易者的成功差距显著,这主要归因于双方之间的信息不对称。零售交易者往往依赖于技术分析,而机构交易者虽然也会使用技术分析,但这只是他们交易过程中的一小部分。他们更注重运用数学和统计技术来识别市场中的错误定价,并试图利用这些不对称机会。 本课程将向您介绍我认为最好的加密货币交易策略之一,采用市场中性的方法。课程将教学生该策略的工作原理、核心组成部分、如何在Python中实现该策略以及如何利用该策略生成交易创意。接下来,我们将专注于回测以及探索该策略进一步发展的其他方法。到课程结束时,学生们应能够在市场提供的情况下充分利用具有统计显著性的相对价值交易机会。

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课程详情

This course will give you exposure to how some of the best hedge funds on the planet trade different instruments and asset classes. 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 strategies (in my opinion) for trading cryptocurrencies from a market neutral perspective. The course will teach students 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 backtesting as well as exploring additional ways the strategy can be further developed. By the end of the course, students should be able to take advantage of statistically significant Relative Value trading opportunities when presented by the market.

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