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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-an-investment-trading-system-in-python/
课程评论：没有评论
课程名称：在Python中构建投资交易系统 课程概述：本课程旨在教授学员如何在Python中构建真实的投资交易系统，借助一位拥有25年投资经验并管理过20亿加元投资组合的专业人士的实用技术。课程将指导您逐步了解从分析财务数据、计算Z-score、添加波动率覆盖到运行简单回测的整个过程，使用真实的历史市场数据。您无需具备高级数学知识或昂贵的软件，基本的Python技能和免费的Google Colab就足够了。您将学习如何设计适应市场变化的策略。 在学习过程中，您还将掌握使用关键财务指标（如Sharpe比率、累计回报率和样本外验证）评估策略表现的能力，这些技能是专业投资组合经理日常使用的。课程的重点是务实的、真实世界的应用，而非纯理论。您将直接与实时市场数据进行互动，构建您能理解、测试和改进的策略。 无论您是希望自动化交易理念的交易员、寻求现实项目的Python学习者，还是对系统策略感兴趣的投资者，这门课程都将为您提供坚实的实用基础。课程结束时，您将有信心独立构建、测试和完善自己的交易系统，并了解专业人士用于管理市场风险的关键技术。 如果您认真想要将Python应用于真实投资，而不仅仅是进行学术练习，这门课程非常适合您。今天就来注册，开始构建更智能的交易策略吧！
Learn to build a real investment trading system in Python with the practical techniques used by a 25-year investment veteran who managed a $2B CAD portfolio.This course will guide you through every step - from analyzing financial data, calculating Z-scores, and adding a volatility overlay, to running a simple backtest - using real historical market data.You don't need advanced math or expensive software. With just basic Python skills and Google Colab (free), you'll learn how to design strategies that adapt to changing market conditions.Along the way, you'll develop the ability to evaluate strategy performance using key financial metrics like Sharpe ratios, cumulative returns, and out-of-sample validation - skills professional portfolio managers use daily.This course focuses on practical, real-world applications - not theory. You will work directly with live market data, building strategies you can understand, test, and improve.Whether you're a trader looking to automate your ideas, a Python learner seeking real-world projects, or an investor curious about systematic strategies, this course will provide a strong, practical foundation.By the end, you'll have the confidence to build, test, and refine your own trading systems independently - and you'll understand the key techniques that professionals use to manage market risks.If you're serious about applying Python to real investments, not just running academic exercises, this course is for you.Enroll today and start building smarter trading strategies!
