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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cryptocurrency-trading-using-machine-learning-with-r/
课程评论：没有评论
课程名称：使用R进行比特币交易的机器学习 课程概述： 本课程旨在教授如何为重要资产类别开发定量交易策略，特别是比特币交易策略。讲师将分享经过多年的研究和实际资金测试后开发的盈利交易思路，帮助学员掌握在金融市场上成功交易所需的实用技术。与许多其他课程不同，本课程专注于实际应用而非基础理论，强调数据分析和机器学习的结合。 在本课程中，学员将使用R语言开发BTC-ema交易策略，重点在于代码的深度讲解和实践应用。学生将能够按照讲解自己进行策略开发，而不是简单复制粘贴代码。同时，课程提供代码下载以供进一步学习。 学习内容包括： - 比特币及区块链基础 - 加密货币交易所介绍 - 如何获取加密市场数据 - 使用Binance API - 使用Quantmod包绘制市场数据 - 开发和回测交易策略 - 无监督机器学习 本课程适合希望开发比特币（适用于莱特币和以太坊）原创交易理念的人士。 免责声明： 本课程仅用于教育目的，不构成交易或投资建议。所有内容、教学材料和代码仅供分享和学习，无法保证其准确性或完整性。过往表现并不代表未来表现，课程中的交易策略基于假设和历史回测。交易期货、外汇和期权具有损失风险，学员需谨慎考虑是否适合自身财务状况，仅使用可承受损失的风险资本。 目标受众： - 对加密货币交易感兴趣的投资专业人士 - 寻找创新投资思路的专业人士和学生 - 任何想要开发定量交易策略的人 - R语言爱好者 - 数据分析/分析爱好者
DescriptionFinally, a series of courses that will teach how to develop quantitative trading strategies for important asset classes. This course is a way to share with you some of my profitable trading ideas, that you can always take forward, modify as you please and even increase its profitability.There are many courses out there that teach the use of R or Python for finance even trading, but only on that theory and the strategy they show are merely basic and are not of good value to people looking to find profitable trading ideas/strategies. I want to reverse that trend by teaching and sharing with you my profitable trading ideas which I have developed after many years of investigation, research and putting real funds on the line. These strategies make use of data analytics and machine learning.In this course, we are to develop the BTC-ema trading strategy using the statistical programming language R.This course aims at being focus on the development of the trading strategy and will go in-depth with coding along lectures, where the student has the ability to follow and develop the strategy himself instead of copying and pasting the codes from a document. Nevertheless the codes will be made available on files for downloading purposes.What will you learn?Bitcoin and the BlockchainCryptocurrency exchangesWhere to find crypto market dataBinance APIPlotting Market Data using the Quantmod packageDevelop and backtest the trading strategyUnsupervised machine learningIf you are looking for a course where you learn to develop and original trading idea for bitcoin (Applicable to Litcoin and Ethereum), this is your course.DisclaimerThis course is for educational purpose and does not constitute trading or investment advice. All content, teaching material and codes are presented with sharing and learning purpose and with no guarantee of exactness or completeness.No past performance is indicative of future performance and the trading strategies presented here are based on hypothetical and historical backtesting. Trading futures, forex and options involves the risk of loss. Please consider carefully if trading is appropriate to your financial situation. Only risk capital you can afford to lose, and the risk of loss being substantial, you should consider carefully the inherent risksWho is the target audience?Investment professionals who is interested in the cryptocurrency trading spaceInvestment professionals and students who would are sourcing innovative investment ideasAnyone looking for ideas and the development of quantitative trading strategyAny R enthusiastAny data analysis/analytics enthusiast
