Which ETF would you pick? — Image by author.

Wouldn’t it be more poetic to be able to select your next ETF purchase based on shapes and colors rather than endless numbers in a spreadsheet?

Thanks to Shirley Wu and her great book Data Sketches: A Journey of Imagination, Exploration, and Beautiful Data Visualizations [1], artistic data visualizations are now more accessible to us, software nerds.

In this article, I show you in detail how I put one chapter of this book into practice for ETF screening.

The exercise requires a little understanding of Python language and SVG format.

Wait, what is an ETF?

An ETF is an Exchanged Traded Fund, i.e. a sort…


Dr. Micheal Burry (source: https://www.tradingsat.com/)

Have you ever seen the movie “The Big Short”? If so, you should definitely know who is Dr. Michael Burry, one of the main characters who predicted the subprime crisis and shorted the market.

After having stepped back a little bit in 2008, Michael Burry is now back in the game as the CEO of Scion Asset Management LLC.

In this article, I show you how to access easily his portfolio history and any other portfolio history of American hedge funds. The methodology requires a bit of Python coding skills. The limitations will also be discussed.

Disclaimer: This article is…


San Francisco Bay (pexels.com)

Is the Nasdaq 100 index overpriced from a value investor’s point of view? That is a legitimate question to ask yourself before considering buying a Nasdaq 100 ETF or a similar asset.

This article aims to provide a tentative answer to the aforementioned question and, more importantly, to expose a methodology in Python that you might want to reuse for other indices.

If you are only interested in the results, skip to section 4!

Disclaimer

The stock data is scraped from Yahoo! Finance using the yahooquery library and is considered to be correct and accurate without any further verification.

The data…


Figure 1: RSI index of QQQ, a Nasdaq100 ETF (source: tradingview.com)

The Relative Strength Index (RSI) is one of the most popular technical indicators used by private investors. It consists of a momentum oscillator moving between two extremes values: 0 and 100.

An asset is considered overbought when the RSI is above 70 and oversold when the RSI is below 30. These simple rules are pretty attractive and one might find many examples of situations where RSI throws successful BUY or SELL signals.

The question that comes naturally to us is whether it’s possible to be successful with this single tool in the long run.

This article aims to show you…


Have you ever wondered about the correlation between the S&P500 and the economic calendar?

In this article, I show you step by step how to get this correlation. The several steps require a bit of programming skills (Python).

If you are only interested in results, skip to the last paragraphs!

Step 1: Scrape the economic calendar

At this stage, you need two things: an economic calendar accessible free of charge and a tool to easily scrape web pages.

A free economic calendar can be found on https://www.investing.com/economic-calendar/. The website allows you to filter economic data and events by country, by importance, and by dates.

Antoine Dedave

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