Python金融分析速成课：从零掌握股票数据处理与可视化

本课程专为初学者设计，2.5小时带您入门Python技术分析。学习获取、清洗股票数据，计算移动平均与布林带，并实现可视化分析，快速掌握金融分析核心技能。

原始标题：The Python For Technical Analysis Crash Course

Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 911.48 MB | Duration: 2h 35m

An Engaging and Focused Course for Learning Financial Analysis in Python

Overview
Section 1: Introduction

Lecture 1 Introduction to Course

Lecture 2 Accessing Python

Lecture 3 Python Primer

Section 2: Getting and Cleaning the Stock Data

Lecture 4 Importing Libraries

Lecture 5 Getting Stock Data, Pt. 1

Lecture 6 Getting Stock Data, Pt. 2

Lecture 7 A Closer Look at the Table

Lecture 8 Deleting and Referencing Columns

Lecture 9 Resetting the Index and Reformatting the Date Column

Lecture 10 Cleaning up the Index and Expanding the Table

Lecture 11 Rounding

Lecture 12 Recap 1

Section 3: Adding New Columns to the Table

Lecture 13 Day-to-Day Price Percentage Change

Lecture 14 20-Day Moving Average

Lecture 15 The np.where() Function

Lecture 16 Bollinger Bands, Pt. 1

Lecture 17 Bollinger Bands, Pt. 2

Lecture 18 Recap 2

Section 4: Analyzing and Visualizing the Data

Lecture 19 The describe() Method, Pt. 1

Lecture 20 The describe() Method, Pt. 2

Lecture 21 The corr() Method

Lecture 22 The groupby() Method

Lecture 23 Matplotlib, Pt. 1

Lecture 24 Matplotlib, Pt. 2

Lecture 25 Plotly

Lecture 26 Exporting the Data to Excel

Section 5: Extra Credit

Lecture 27 A Few Words on the Extra Credit Lessons

Lecture 28 Getting Data for Forex, Futures, and Crypto

Lecture 29 Getting Fundamental Data

Lecture 31 Data Types

Lecture 32 pd.DataFrame()

Lecture 33 The assign() Method

Lecture 34 Troubleshooting

Lecture 35 Fibonacci Retracement Levels

Section 6: Farewell

Lecture 36 Farewell

Students interested in an efficient approach to learning the fundamentals of financial analysis in Python,Excel users looking for a faster and more flexible financial analysis environment,Anyone interested in the learned the basics of data analysis in Python,NOTE: This is a coding and data analytics course, not an investment course. If you’re looking for direct trading advice, this is probably not the course for you.