About

About Stock Market Words

Stock Market Words is an educational stock research project by Andrew Allbright. It started with a simple question: how often do valid stock ticker symbols hide inside normal English text, and can that pattern become a useful way to explore a market dataset?

The answer turned into two related products:

  1. A ticker extraction tool that finds stock symbols hidden in words and phrases.
  2. A research site that scores those symbols across five strategy lenses using market and technical data.

Last updated: March 13, 2026

Who runs this site?

My name is Andrew Allbright. I built this site and maintain the code, data pipeline, and Hugo front end.

This project is intentionally transparent: the source code is public, the methodology is documented, and the site clearly distinguishes between raw data, filtered data, and opinionated strategy scores.

What makes this site different?

There are plenty of stock screeners on the internet. This site is different in three ways:

1. It starts with text, not a watchlist

Most investing tools assume you already know which stocks you want to analyze. Stock Market Words starts with a block of text and asks a different question: which real ticker symbols are hiding in this text?

That means the homepage is not just a stock screener. It is a symbol-discovery tool with a custom extraction algorithm.

2. It shows the data pipeline openly

This site exposes:

  • the raw NASDAQ source universe
  • the filtered ticker universe
  • the strategy-specific datasets
  • the individual ticker detail pages

That transparency matters. You can see what was filtered out, what remained, and why a ticker appears in one strategy but not another.

3. It uses strategy scores as an educational lens

The five strategies on this site are not recommendations or promises. They are simplified lenses for learning how different market characteristics interact:

  • Dividend Daddy — yield + lower volatility
  • Moon Shot — high beta + room to run
  • Falling Knife — oversold + below trend
  • Over-Hyped — stretched momentum
  • Institutional Whale — large-cap quality / liquidity

The point is not to tell you what to buy. The point is to make the dataset easier to reason about.

What data does the site use?

The site combines:

  • daily symbol and reference data from NASDAQ
  • price and market metrics used by the project pipeline
  • computed technical values such as RSI, moving averages, and beta
  • site-specific strategy scores

For a full breakdown, see the Methodology page.

What this site is for

This site is for:

  • investors who like exploring stock ideas from unusual angles
  • developers interested in data pipelines and text parsing
  • readers who want a plain-English bridge between finance terms and actual market examples

It is not a brokerage, an investment adviser, or a replacement for full due diligence.

Editorial approach

I am trying to make this site more useful than a generic database dump. That means:

  • publishing explanatory articles alongside the tools
  • documenting the scoring logic and data limitations
  • linking data pages back to methodology and glossary pages
  • being explicit about what the site can and cannot tell you

If you want to understand how the extraction engine works, start with How Ticker Extraction Works.

If you want to understand the tradeoffs in the strategy pages, start with How to Read the Five Strategies.

Contact

Questions, bug reports, and corrections are welcome. Visit the Contact page.

Disclaimer: This site is for educational and informational purposes only. Nothing on Stock Market Words is investment advice.