About CrazyEarnings

Welcome! Salvador here, a Data Engineer at SAS and a part-time MS in Finance student at the University of Colorado in Denver.

I developed TheCrazyEarnings as a personal project after realizing that I had accumulated over 400 Python Jupyter notebooks during my academic journey. With a strong interest in day trading as a hobby and a passion for data analysis, this website was built to serve as a valuable tool for exploring and analyzing stock data, particularly around earnings call schedules.

About Regular BETAs and TCE ETF-based BETA

On TheCrazyEarnings, I calculate beta, a key measure of stock volatility, in two different ways:

1. Regular Beta: For most stocks, I calculate beta against the SPY ETF, which tracks the S&P 500. This provides a general market comparison and is a common way to assess a stock's relative risk to the broader market.

2. TCE ETF-based Beta: For certain stocks that I have taken a personal interest in, I calculate a custom beta based on a specific ETF that I have found to better reflect the stock's volatility and market behavior. This custom beta is clearly labeled across the site, providing more accurate insights for those particular stocks.

For now is one or the other.

In the future, I may incorporate both betas to give users a broader perspective, but for now, you'll see the TCE ETF-based beta for stocks where I believe it provides a more precise risk measurement.

What's Next for This Website?

In short, I’m not entirely sure. I’ll keep an eye on how people use the site and fix any bugs that are found.

Currently, as of November 2024, I have three main items on my development shortlist:

1. Calculation of implied move: I have a working prototype, but I’m encountering issues with making the formula work consistently across all tickers. This is crucial for options traders, as it helps calculate earnings call risk more accurately.

2. Improving the time series graph in the company scorecard: I believe I can extend it significantly to display more useful information.

3. Extending analysis of ETFs: This intrigues me, especially with a focus on risk-based optimization.

Beyond these points, there are a few items that are very low in the priority list and may or may not be fully developed like small cap stocks, penny stocks, fully functioning Dark Mode and real-time scorecard generation.

Who Is This Site For?

This site is designed for people interested in day trading (preferably as a hobby) who are looking for insights into earnings calls and the volatility they can create. While there are great sites out there that cover a wide range of information, I suggest trusting their data over mine, as I rely on public sources.

When dealing with significant amount of money, I recommend exploring Tech ETFs rather than individual stocks. In the end, it is highly unlikely that individual day traders beat Technology ETFs in a regular basis. Year over year, those ETF beat the SPY by a lot. Now you understand number 3 in the previous section.

Disclaimer

This site is currently in BETA and only supports tickers from US-based companies. And due to way the FED through EDGAR provides ticker information, companies based out-of the US may never be supported.

There may be bugs, and the information provided is for informational purposes only. Please do your own research before making any trading decisions. The content on this site does not constitute financial advice, and I cannot be held liable for any investment decisions made based on this information.

This site is not related in any way with SAS or with the University of Colorado.