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所在平台: Udemy |
课程主页: https://www.udemy.com/course/algorithmic-trading-with-python-complete-course/
课程评论：没有评论
课程名称：完整的Python算法交易课程 课程概述：欢迎来到我们最全面的课程“使用Python进行算法交易”，在这里您将踏上探索算法交易世界的变革之旅。本课程旨在为初学者和有经验的开发者提供扎实的Python编程基础和算法交易策略知识。 课程开始于对Python面向对象编程（OOP）的详细探讨，为您装备必要的算法交易技能。您将深入数据分析，熟练掌握使用Pandas对金融数据的操作。通过使用Numpy和Matplotlib等库，您将提升数值计算和数据可视化的能力。 课程内容包括数据归一化和金融收益计算，这是开发稳健交易策略的关键步骤。您还将了解金融和投资概念，以理解市场的微妙之处。 学习如何通过Python代码与经纪人API进行通信，使用Selenium实现自动登录。利用Zerodha Kite Connect API无缝实施您的策略。在算法交易领域，实时数据至关重要。您将学习如何流式传输实时tick数据，以及高效下载和清理历史金融数据。 课程涵盖订单管理，包括下单、修改、取消、下单和追踪止损订单。还包括API相关的常见问题和先决条件。使用MySQL数据库存储和访问数据，并通过静态文件进行数据的导入和导出。 技术指标在交易决策中发挥着重要作用。本课程将帮助您使用Python开发移动平均线、布林带、真实波动范围（ATR）、相对强弱指数（RSI）、MACD、超趋势和Renko等指标。 将您的技能提升到新水平，通过学习在虚拟私人服务器上部署交易机器人，使其在用户友好的网页上可访问。达到自动化的巅峰，开发一个完全自动的交易机器人，随时进入金融市场。 本课程提供所有工作代码的Jupyter笔记本，资源部分可用。无论您是寻求全面介绍的新手，还是希望提高算法交易技能的经验开发者，这门课程都提供了在动态算法交易世界中获得成功所需的知识和实践经验。加入我们，开启这一激动人心的旅程，释放算法交易在金融市场中的潜力。
Welcome to our most comprehensive course, "Algorithmic Trading using Python," where you will embark on a transformative journey into the world of algorithmic trading. This course is designed to provide you with a solid foundation in both Python programming and algorithmic trading strategies, catering to beginners and experienced developers alike.The course begins with a thorough exploration of Python's Object Oriented Programming (OOP) to equip you with the essential skills for algorithmic trading. You will delve into data analysis using Pandas, mastering the manipulation of financial data with ease. Utilizing libraries such as Numpy and Matplotlib, you will gain proficiency in numerical computations and data visualization.The course covers data normalization and the calculation of financial returns, essential steps in developing robust trading strategies. Dive into finance and investment concepts to understand the intricacies of the market.Learn to communicate with broker API using Python code. Automation Login using Selenium. Harness the potential of Zerodha Kite Connect API to implement your strategies seamlessly. In the realm of algorithmic trading, real-time data is paramount. Learn to stream live tick data and efficiently download and clean historical financial data. Order Management - Placing orders, modifying, canceling, placing & trail stop loss orders. This course includes frequently asked questions & prerequisites for the API.Use MySQL Database to save and access Data. Import and export data using static files.Technical indicators play a pivotal role in trading decisions. This course empowers you to develop indicators like Moving Averages, Bollinger Bands, ATR, Relative Strength, MACD, Supertrend, and Renko using Python.Take your skills to the next level by learning to deploy your trading bot on a Virtual Private Server, accessible through a user-friendly web page. Achieve the pinnacle of automation as you develop a fully automatic trading bot, ready to navigate the financial markets.The course has all working code Jupyter notebooks available in the resources section. Whether you're a novice seeking a comprehensive introduction or an experienced developer aiming to enhance your algorithmic trading prowess, this course provides the knowledge and hands-on experience needed to succeed in the dynamic world of algorithmic trading using Python. Join us on this exciting journey and unlock the potential of algorithmic trading in the financial markets.
