Stock Market Data Analysis & Visualization w/ Python & More

Learn how to do Stock Market Data Analysis & Visualization with Python

3.10 (25 reviews)

Udemy

platform

English

language

Investing & Trading

What you will learn

Calculate leading stock technical indicators or oscillators such as average directional movement index, commodity channel index, and more!

Define multiple technical indicators based stock trading occasions through price crossovers confirmed by bands crossovers.

Assess stock trading strategies performance by comparing their annualized return, standard deviation and Sharpe ratio against buy and hold

Compute lagging stock technical indicators or overlays such as moving averages, Bollinger bands, parabolic stop and reverse.

Why take this course?

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 Python

Read 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.

Reviews

Captain

April 12, 2022

Very disappointing. This is essentially a Python class (the very large proportion of the course), with a bit of unexplained data analysis and visualization sprinkled on top. In that small portion of the course that is actually relevant to the title, we're just following along the code, without getting actual explanations on what the visualizations mean. This class would more aptly be named "Python for beginners with some stock data visualization and analysis without explanations". The instructor does great in the little that is actually done, but this course needs a lot more information. So disappointed.

Marty

January 2, 2022

The relevant part of the course (retrieving prices and visualizing) was just over 1 hour long, whereas the intro was almost 5 hours long. The proportion is awful; 1/6 core topic, 5/6 intro. The intro included topics like classes and objects which were not at all used in the 'main' portion of the course. Also, some functions used in the main portion of the course were not explained and just used in the code. I can (and have) of course look all of this up on the net, but it feels the course was just thrown together to 'make another course,' without much regard for quality.

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