Methodology

EquityScore starts with market and company data, turns that into comparable scores, and then surfaces the clearest results as grades, summaries, and alerts.

1. Data comes in first, and freshness is checked

We load end-of-day market and fundamentals data, standardize it, and run automated checks before the rest of the analysis is treated as healthy.

2. Scores are combined into grades

The platform combines predefined scoring rules and threshold bands into a simpler grade. The grade is a quick summary of current quality and risk context, not a prediction of future returns.

3. Context matters, not just the stock in isolation

Stocks are easier to understand when you compare them with sectors, watchlists, and portfolios. That context helps the raw signals feel more useful and less abstract.

4. Alerts appear only after meaningful changes

We do not want alerts to become noise. The platform only surfaces alerts and summaries after confidence and significance checks so the feed stays focused on changes that deserve a second look.

Important limitation

EquityScore is a research tool. It is not personalized investment advice, a shortcut around judgment, or a promise that a stock will behave a certain way.