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所在平台: Udemy |
课程主页: https://www.udemy.com/course/your-trading-journal/
课程评论：没有评论
课程名称：懒惰交易 第三部分：设置您的自动化交易日志 课程概述： 本课程是“懒惰交易”系列的第三部分，主要讲解如何设置您的自动化交易日志。在课程结束时，您将拥有一个易于使用的自动化交易日志，能够快速分析成千上万的交易，包括我们的交易策略和笔记。 课程内容包括： - 在几秒钟内对所有交易系统进行视觉分析 - 学习使用R Shiny，这是一个用于部署数据科学项目的有用工具 - 设置版本控制项目 - 从金融资产收集和记录数据 - 获取并适应代码 - 进一步定制模板 - 成为决策支持系统的一部分 懒惰交易课程系列旨在结合算法交易的迷人体验，同时学习计算机和数据科学的知识。重点是建立决策支持系统基础，帮助自动化许多与交易相关的繁琐过程。该项目包括多个短课程，专注于帮助管理自动化交易系统，内容包括： - 设置家庭交易环境 - 设置交易策略机器人 - 设置自动化交易日志 - 统计自动化交易控制 - 阅读新闻和情绪分析 - 使用人工智能检测市场状态 - 建立AI交易系统 更新：为方便代码共享而创建的专用R包“lazytrade”。 重要提示： 所有课程都将是短小的，聚焦于特定主题，避免让您迷失在复杂的章节和深奥的理论解释中。这些课程旨在通过自动化繁琐但重要的交易过程，帮助您专注于策略的开发。 除了交易，您还将学到： - 使用决策支持系统的实践经验 - 组织有序，使用版本控制和自动化统计分析 - 学习使用R进行数据读取、处理和机器学习（包括深度学习） - 数据可视化的学习与实践 - 情绪分析和网络爬虫 - 学习Shiny以在数小时内部署任何数据项目 - 提高生产力的技巧 - 自动化任务及其调度 - 扩展的MQL4和R代码示例 课程不包括： - 详细解释特定编程概念 - 数据科学或交易基础知识的教学 - 无法保证无错误编程 免责声明：交易具有风险。本课程不应被视为财务建议或服务，往绩不代表未来结果的保证。
About this Course: Set up your Automated Trading JournalThe third part of this series will cover setting up your Trading Journal. At the end of this course we will have our own easy to use Automated Trading Journal containing our strategies, notes with possibility to visually analyse thousands of trades in seconds:Perform visual analysis of all your trading systems in secondsLearn to use R Shiny - useful tool to deploy any data science projectSetting up Version Control ProjectCollect and record data from Financial Asset to the FileGet and adapt the codeFurther customize templatePart of our Decision Support SystemAbout the Lazy Trading Courses:This series of courses is designed to to combine fascinating experience of Algorithmic Trading and at the same time to learn Computer and Data Science! Particular focus is made on building foundation of Decision Support System that can help to automate a lot of boring processes related to Trading.This project is containing several short courses focused to help you managing your Automated Trading Systems:Set up your Home Trading EnvironmentSet up your Trading Strategy RobotSet up your automated Trading JournalStatistical Automated Trading ControlReading News and Sentiment AnalysisUsing Artificial Intelligence to detect market statusBuilding an AI trading systemUpdate: dedicated R package 'lazytrade' was created to facilitate code sharing among different coursesIMPORTANT: all courses will be short focusing to one specific topic. You will not get lost in various sections and deep theoretical explanations. These courses will help you to focus on developing strategies by automating boring but important processes for a trader.What will you learn apart of trading:While completing these courses you will learn much more rather than just trading by using provided examples:Learn and practice to use Decision Support SystemBe organized and systematic using Version Control and Automated Statistical AnalysisLearn using R to read, manipulate data and perform Machine Learning including Deep LearningLearn and practice Data VisualizationLearn sentiment analysis and web scrappingLearn Shiny to deploy any data project in hoursGet productivity hacksLearn to automate your tasks and scheduling themGet expandable examples of MQL4 and R codeWhat these courses are not:These courses will not teach and explain specific programming concepts in detailsThese courses are not meant to teach basics of Data Science or TradingThere is no guarantee on bug free programmingDisclaimer:Trading is a risk. This course must not be intended as a financial advice or service. Past results are not guaranteed for the future.
