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所在平台: Udemy |
课程主页: https://www.udemy.com/course/algorithmic-trading-from-a-to-z-using-python/
课程评论：没有评论
课程名称：使用Python进行从A到Z的算法交易 课程概述： 本课程旨在教授如何创建算法交易策略，适合已有一定交易知识的人士，或对量化交易/金融感兴趣的初学者，以及希望通过学习来实现知识多元化的好奇者。课程采用Python进行所有实际应用，并为Python初学者提供了免费的速成课程，帮助掌握Python基础。 在本课程中，您将学习如何利用技术分析、价格行为和机器学习来创建强健的交易策略，并通过量化分析找出数据模式。课程将指导您如何进行矢量化回测，以评估多种有效的策略，并学习组合技术以减少风险并最大化收益。 您将掌握专业投资组合经理和交易员所使用的量化分析方法，包括： - 建模：技术分析（移动平均、相对强弱指标）、价格行为（支撑、阻力）以及机器学习（线性回归）。 - 回测：学习如何有效进行回测，减少计算时间（矢量化回测）。 - 投资组合管理：合理组合策略（策略投资组合）。 为何选择本课程而非其他课程？本课程不仅仅是编程、交易或机器学习的学习，而是将统计学、编程与金融理论结合实施交易。课程由一名拥有数学和经济学学位、专注于金融应用数学的讲师设计。您可以通过注册我们的免费Discord论坛提出问题或阅读我们的量化金融文章。此外，本课程提供30天满意或退款的保证。不要错过提升您在这一迷人领域知识的机会。
Do you want to create algorithmic trading strategies?You already have some trading knowledge and you want to learn about quantitative trading/finance?You are simply a curious person who wants to get into this subject to monetize and diversify your knowledge?If you answer at least one of these questions, I welcome you to this course. All the applications of the course will be done using Python. However, for beginners in Python, don't panic! There is a FREE python crash course included to master Python. In this course, you will learn how to use technical analysis, price action, machine learning to create robust strategies. You will perform quantitative analysis to find patterns in the data. Once you will have many profitable strategies, we will learn how to perform vectorized backtesting. Then you will apply portfolio techniques to reduce the drawdown and maximize your returns.You will learn and understand quantitative analysis used by portfolio managers and professional traders: Modeling: Technical analysis (Moving average, RSI), price action (Support, resistance) and Machine Learning (Linear regression).Backtesting: Do a backtest properly without error and minimize the computation time (Vectorized Backtesting).Portfolio management: Combine strategies properly (Strategies portfolio).Why this course and not another?This is not a programming course nor a trading course or a machine learning course. It is a course in which statistics, programming and financial theory are used for trading.This course is not created by a data scientist but by a degree in mathematics and economics specializing in mathematics applied to finance.You can ask questions or read our quantitative finance articles simply by registering on our free Discord forum.Without forgetting that the course is satisfied or refunded for 30 days. Don't miss an opportunity to improve your knowledge of this fascinating subject.
