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所在平台: Udemy |
课程主页: https://www.udemy.com/course/your-trading-control-reinforcement-learning/
课程评论：没有评论
课程名称：懒惰交易第4部分：通过强化学习进行交易控制 课程概述：“这是关于一个能够控制其他机器人的机器人！” 懒惰交易系列课程旨在结合算法交易的迷人体验，学习计算机和数据科学。课程特别关注构建决策支持系统，帮助自动化与交易相关的许多乏味过程，并学习数据科学。在所有7门课程中，通过实际案例展示如何构建一个能够在没有大量人工输入的情况下自动进化的综合系统。 课程内容： - 设置自动化风险管理软件。 - 第四部分将实现多个算法交易系统的自动风险管理。算法将能够识别最佳和最差的交易系统，从而自动化决定何时启动或停止交易机器人。 - 该课程提供多种实现方法和功能，适用于交易外的任何情况。 我们将学习以下数据和计算机科学概念： - 使用R程序进行数据分析和结果输出 - 导入文件数据、清洗和选择数据 - 在R中编写和使用函数及‘for’循环 - 使用‘pipe’运算符和‘dplyr’包进行数据操作 - 将数据写入文件，计算R中的利润因子 - 在R中使用强化学习，创建自适应强化学习系统 - 自动化和调度任何R代码 本课程的特别之处在于：应用强化学习算法从第一观察开始学习！ 该项目包含多门课程，旨在帮助您管理自动化交易系统，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 - 阅读新闻和情感分析 - 使用人工智能检测市场状态 - 构建AI交易系统 - 专用R包“lazytrade”已在CRAN发布，以促进代码共享和改善文档。 重要说明：所有课程以实践为主，关注特定主题，并仅提供必要的理论解释。这些课程将帮助您通过自动化乏味但重要的交易过程来专注于制定策略。 除了交易，您将学习： - 使用决策支持系统的实践 - 使用版本控制和自动统计分析进行有条理和系统化的学习 - 使用R进行数据读取、操作和机器学习（包括深度学习） - 数据可视化技巧 - 情感分析和网络抓取 - 学习Shiny快速部署数据项目 - 提高生产力的技巧 - 自动化R程序及其调度 - 可扩展的MQL4和R代码示例 课程不包括的内容： - “圣杯”或自动交易黑箱 - 不会详细讲解特定的编程概念 - 不教授数据科学或交易的基础知识 - 不保证程序无错误 免责声明：交易有风险。本课程不应被视为财务建议或服务。过去的表现结果不保证未来的结果。
"This is about a Robot that can control Robots!"About 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 Decision Support System that can help to automate a lot of boring processes related to Trading and also learn Data Science. Several algorithms will be built by performing basic data cycle 'data input-data manipulation - analysis -output'. Provided examples throughout all 7 courses will show how to build very comprehensive system capable to automatically evolve without much manual input.About this Course: Set up Automated Risk Management SoftwareThe fourth part of this series will enable automatic risk management of multiple Algorithmic Trading Systems. Algorithm will be capable to identify best and worse Trading Systems. This will allow to automate decision to start or stop Trading Robots. Course is featuring several methods of achieving this goal, provides functions allowing to apply or adapt this method for any situation including outside of trading.We will learn these Data and Computer Science concepts:Use R program to perform data analysis and generating output resultImport data from filesClean and select dataWriting and using functions in R'for' loopsData manipulation using 'pipe' operator and 'dplyr' package in RWrite data to filesCalculate Profit Factor in RUsing Reinforcement Learning in RReinforcement Learning ExampleCreating Adaptive Reinforcement Learning systemAutomating and Scheduling any R code"What is that ONE thing very special about this course?"- Application of Reinforcement Learning algorithm that is learning from very first observation!This project is containing several courses focused to help you managing 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 systemDedicated R package 'lazytrade' is now published on CRAN to facilitate code sharing and improve code documentationIMPORTANT: all courses are very practical focusing to one specific topic with only essential theoretical explanations. These courses will help 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 R programs and scheduling themGet expandable examples of MQL4 and R codeWhat these courses are not:'Holy grail' or Automatic Trading Black BoxThese 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 performance results are not guarantee for the future.
