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所在平台: Udemy |
课程主页: https://www.udemy.com/course/stock-market-data-analysis-visualization-w-python-more/
课程评论：没有评论
课程名称：股票市场数据分析与可视化（使用Python及更多工具） 课程概述：本课程通过实践性的方法，教授使用Python编程语言进行股票技术分析，利用标准普尔500®指数ETF的历史数据进行回测。课程内容涵盖从基础到高级的核心概念，旨在帮助学员提高学业成绩、发展职业生涯、在职场上应用所学知识，或作为经验丰富的投资者进行研究。学习过程中，将引用领域内最优秀从业者的实践经验，帮助你成为股票技术分析专家。 通过本实用课程，你将能够： - 下载并读取标准普尔500®指数ETF的价格数据，并在Python集成开发环境中进行技术分析。 - 计算滞后性股票技术指标或叠加指标，例如移动平均线、布林带、抛物线止损和反转。 - 计算领先性股票技术指标或振荡器，包括平均方向性运动指数、商品通道指数、移动平均收敛/发散、变化率、相对强弱指数、随机振荡器和威廉指标。 - 确定基于单一技术指标的股票交易机会，通过价格、双重、带、中心线和信号交叉来实现。 - 定义基于多个技术指标的股票交易时机，通过价格交叉确认带交叉来实施。 - 根据单一或多个技术指标的交易信号，概述长期（买入）或短期（卖出）股票交易策略。 - 评估股票交易策略的表现，并将其与买入持有的基准进行比较。 本课程适合希望深入了解股票市场数据分析与可视化的各类学习者，无论是初学者，还是希望进一步提高的投资者，皆能获得实用的知识和技能。
Learn stock technical analysis through a practical course with Python programming language using S & P 500® Index ETF historical data for back-testing. It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work, or do research as an experienced investor. All of this while referencing the best practitioners in the field.Become a Stock Technical Analysis Expert in this Practical Course with PythonRead or download S & P 500® Index ETF prices data and perform technical analysis operations by installing related packages and running code on Python IDE.Compute lagging stock technical indicators or overlays such as moving averages, Bollinger bands, parabolic stop, and reverse.Calculate leading stock technical indicators or oscillators such as average directional movement index, commodity channel index, moving averages convergence/divergence, rate of change, relative strength index, stochastic oscillator, and Williams %R.Determine single technical indicator-based stock trading opportunities through price, double, bands, centerline, and signal crossovers.Define multiple technical indicators based on stock trading occasions through price crossovers confirmed by bands crossovers.Outline long (buy) or short (sell) stock trading strategies based on single or multiple technical indicators trading openings.Evaluate stock trading strategies performances by comparing them against the buy and hold benchmark.
