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所在平台: Udemy |
课程主页: https://www.udemy.com/course/algorithmic-trading-with-python-and-machine-learning/
课程评论：没有评论
课程名称：全面的算法交易A-Z，使用Python、机器学习与AWS 课程概述： 欢迎来到最全面的算法交易课程。这是第一门100%数据驱动的交易课程！本课程已经在2024年11月进行了全面修订和更新，新增或更新讲座超过100个。你知道75%的散户交易者在日内交易中亏损吗？（一些来源甚至统计超过95%）作为数据科学家和经验丰富的金融专业人士，这并不令人惊讶。日内交易者通常不了解或不遵循日内交易的五项基本规则。本课程将详细覆盖这些规则！ 1. **了解日内交易业务** 如果你不熟悉买卖差价、点数、杠杆、保证金要求等术语，就不要开始交易。本课程的第一部分全面讲解了与Oanda、Interactive Brokers和FXCM等经纪商相关的日内交易的基本概念、术语和规则，涵盖外汇、股票、指数、商品等。 2. **使用强大且独特的交易策略** 你需要有一个交易策略。依赖直觉或灵感在长期内难以成功（至少在99.9%的情况下如此）。依靠简单的技术规则同样行不通，因为每个人都在使用它们。你将学习如何使用Python开发更复杂和独特的交易策略，结合简单和复杂的技术指标，并创建基于机器学习和深度学习的策略。课程将从零开始教授所需的编码技能（Python、Numpy、Pandas、Matplotlib、scikit-learn、Keras、Tensorflow）。 3. **在投资真实资金之前测试策略（回测/前向测试）** 你的交易策略是否盈利？在“上线”之前要严格测试你的策略。本课程是你能找到的最全面和严格的回测/前向测试课程。你将学习如何应用向量化回测技术、事件驱动的迭代回测技术、使用模拟资金的实时测试等。我将解释回测与前向测试的区别，并展示何时使用哪种方法。 4. **考虑交易成本 - 一切都与交易成本有关！** “零佣金交易？太好了！”但仍然存在买卖差价，即便2点看似很低也不然！本课程演示了在考虑交易成本之后找到盈利策略的难度。学习如何将交易成本纳入策略及其回测/前向测试中，并且最重要的是，学习如何控制和减少交易成本。 5. **自动化交易** 手动交易容易出错、耗时，并且容易受到情绪影响。本课程将教你如何使用Python、强大的经纪商API和亚马逊云服务（AWS）自动化你的交易策略。创建自己的交易机器人，在AWS云中完全自动化和安排你的交易会话！ 最后，这不仅仅是关于自动化日内交易的课程：所覆盖的技术和框架同样适用于长期投资。这是一门深入的Python课程，超越了典型课程的内容。创建软件并在虚拟服务器（AWS）上实时运行，利用机器学习和深度学习算法处理实时数据，并在实时中采取基于ML/DL的行动！你还在等什么？立即加入我们，30天无风险退款保证让你无后顾之忧！期待在课程中见到你！
Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course!*** Course fully revised and updated in November 2024 with 100+ new or updated Lectures***Did you know that 75% of retail Traders lose money with Day Trading? (some sources say >95%)For me as a Data Scientist and experienced Finance Professional this is not a surprise. Day Traders typically do not know/follow the five fundamental rules of (Day) Trading. This Course covers them all in detail!1. Know and understand the Day Trading BusinessDon´t start Trading if you are not familiar with terms like Bid-Ask Spread, Pips, Leverage, Margin Requirement, Half-Spread Costs, etc.Part 1 of this course is all about Day Trading A-Z with the Brokers Oanda, Interactive Brokers, and FXCM. It deeply explains the mechanics, terms, and rules of Day Trading (covering Forex, Stocks, Indices, Commodities, Baskets, and more).2. Use powerful and unique Trading StrategiesYou need to have a Trading Strategy. Intuition or gut feeling is not a successful strategy in the long run (at least in 99.9% of all cases). Relying on simple Technical Rules doesn´t work either because everyone uses them.You will learn how to develop more complex and unique Trading Strategies with Python. We will combine simple and also more complex Technical Indicators and we will also create Machine Learning- and Deep Learning- powered Strategies. The course covers all required coding skills (Python, Numpy, Pandas, Matplotlib, scikit-learn, Keras, Tensorflow) from scratch in a very practical manner. 3. Test your Strategies before you invest real money (Backtesting / Forward Testing)Is your Trading Strategy profitable? You should rigorously test your strategy before 'going live'.This course is the most comprehensive and rigorous Backtesting / Forward Testing course that you can find.You will learn how to apply Vectorized Backtesting techniques, Iterative Backtesting techniques (event-driven), live Testing with play money, and more. And I will explain the difference between Backtesting and Forward Testing and show you what to use when. The backtesting techniques and frameworks covered in the course can be applied to long-term investment strategies as well! 4. Take into account Trading Costs - it´s all about Trading Costs!"Trading with zero commissions? Great!".Well, there is still the Bid-Ask-Spread and even if 2 Pips seem to be very low, it isn´t! The course demonstrates that finding profitable Trading Strategies before Trading Costs is simple. It´s way more challenging to find profitable Strategies after Trading Costs! Learn how to include Trading Costs into your Strategy and into Strategy Backtesting / Forward Testing. And most important: Learn how you can control and reduce Trading Costs. 5. Automate your TradesManual Trading is error-prone, time-consuming, and leaves room for emotional decision-making. This course teaches how to implement and automate your Trading Strategies with Python, powerful Broker APIs, and Amazon Web Services (AWS). Create your own Trading Bot and fully automate/schedule your trading sessions in the AWS Cloud! Finally.this is more than just a course on automated Day Trading:the techniques and frameworks covered can be applied to long-term investing as well.it´s an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time on a virtual Server (AWS)!we will feed Machine Learning & Deep Learning Algorithms with real-time data and take ML/DL-based actions in real-time! What are you waiting for? Join now. As always, there is no risk for you as I provide a 30-Days-Money-Back Guarantee!Thanks and looking forward to seeing you in the Course!
