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所在平台: Udemy |
课程主页: https://www.udemy.com/course/your-trading-robot/
课程评论：没有评论
课程名称：懒惰交易第二部分：设置和部署交易系统 课程概述： 本课程的第二部分将围绕设置我们的专家顾问或交易机器人展开。课程结束时，我们将拥有一个完整且可用的算法交易系统，此系统将与我们的决策支持系统集成。主要内容包括： - 编程环境设置 - 版本控制项目设置 - 机器人功能概述 - 自定义以针对市场低效 - 将机器人与决策支持系统集成（通过外部命令启动/停止交易系统） - 自定义并记录交易结果 - 滚动优化、自动机器人回测 本课程将使用同一个机器人模板，以便在“懒惰交易”系列的其他课程中继续应用。 懒惰交易课程介绍： 这一系列课程旨在结合算法交易的引人入胜的体验，同时学习计算机和数据科学！特别强调建立决策支持系统的基础，以帮助自动化交易中许多繁琐的流程。该项目包含多个简短课程，专注于帮助您管理自动化交易系统： - 设置家庭交易环境 - 设置和部署交易系统 - 设置自动化交易日志 - 统计自动交易控制 - 阅读新闻和情感分析 - 使用人工智能检测市场状态 - 构建AI交易系统 更新：已创建专用R包“lazytrade”，以方便不同课程之间的代码共享。 重要说明：所有课程均为简短课程，重点关注特定主题。您不会迷失于各种部分和深奥的理论解释中。这些课程将帮助您专注于通过自动化繁琐但重要的交易流程来发展策略。 除了交易，您还将学习到： - 使用决策支持系统的实践 - 使用版本控制和自动化统计分析保持条理和系统性 - 学习使用R进行数据读取、处理和机器学习，包括深度学习 - 学习和实践数据可视化 - 学习情感分析和网络爬虫 - 学习Shiny以在几小时内部署任何数据项目 - 获取提高生产力的技巧 - 学习自动化任务和调度 - 获取可扩展的MQL4和R代码示例 这些课程不包括： - 详细讲解特定编程概念 - 针对数据科学或交易基础的课程 - 对无错误编程的保证 免责声明：交易存在风险。本课程不应被视为金融建议或服务。过去的结果不能保证未来的表现。
About this Course: Setting up and deploying Trading SystemThe second part of this series will cover setting up our Expert Advisor or Trading Robot. At the end of this course we will have complete and ready to be used Algorithmic Trading System integrated with our Decision Support System: Programming environmentSetting up Version Control ProjectOverview of robot functionsHow to customize to target market inefficiencyIntegrate robot with Decision Support System (start/stop trading system from external commands)Customize and record trades resultsRolling Optimization, automatic robot backtestThe same robot template will be used in other courses of the Lazy Trading SeriesAbout 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 EnvironmentSetting up and deploying Trading SystemsSet 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.
