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所在平台: Udemy |
课程主页: https://www.udemy.com/course/building-technical-indicators-in-python/
课程评论：没有评论
课程名称：使用Python构建技术指标 课程概述：本课程将为学生提供对股票交易中技术指标和蜡烛图形的全面理解。课程首先涵盖技术指标和蜡烛图形的基础知识，包括如何在策略中使用第三方库。接着，我们将深入探讨技术指标和蜡烛图形的世界。课程将介绍一些最受欢迎的技术指标，包括简单移动平均线（SMA）、指数移动平均线（EMA）、相对强弱指数（RSI）、移动平均收敛散度（MACD）、布林带和斐波那契回撤等。此外，我们还将讲解常见的蜡烛图形如十字星、锤头和流星等。 为了实现这些指标和图形，本课程将使用流行的库，如Talib、pandas TA和tulip。此外，我们还将利用流行的绘图库，诸如matplotlib、plotly和mplfinance。这些库将帮助学生用Python编写代码，计算和绘制这些指标和图形在价格图表上，并使他们能够分析和做出明智的交易决策。课程中还将包括这些指标使用的数学公式，以及自定义代码示例，以便学生开发自己的指标。 课程结束时，学生将全面理解技术指标和蜡烛图形的运作，并能使用它们进行盈利交易。学生还将具备使用Python实现这些指标和图形的必要技能，并能够有效分析市场趋势，做出明智的交易决策。
This course will provide students with a comprehensive understanding of how to use technical indicators and candlestick patterns in stock trading.The course will start by covering the basics of technical indicators, and candlestick patterns including the use of third-party libraries in your strategy. Then, we will dive into the world of technical indicators and candlestick patterns.Some of the most popular technical indicators that we will cover in this course include Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Bollinger Bands, and Fibonacci Retracements. We will also cover popular candlestick patterns such as Doji, Hammer, and Shooting Star.To facilitate the implementation of these indicators and patterns, we will use popular libraries such as Talib, pandas TA, and tulip. We will also use popular charting libraries like matplotlib, plotly & mplfinance. These libraries will enable students to write code in Python to calculate and plot these indicators and patterns on price charts and provide them with the ability to analyze and make informed trading decisions. We will also include mathematical formulas used in these indicators along with custom code in case you want to develop your own indicator.By the end of the course, students will have a strong understanding of how technical indicators and candlestick patterns work and how to use them to make profitable trades. Students will also have the necessary skills to implement these indicators and patterns using Python, and will be well-equipped to analyze market trends and make informed trading decisions.
