DBSMRS 1.0 — Data-Based Stock Market Ranking System

Go to Portfolio & Live Prices →
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MarketMetrics Performance Dashboard

Rules-based asset value and performance screener \u2014 built as a separate tool, now folded in here and reading from the same database as the Screener tab below. Connect a file there and this updates too.

$350

\u25B2 Best Performing Stocks

ROE above 15% and net margin above 10%, ranked by ROE.

SymbolCompanyPriceROERisk

\u25C6 Best Value Buys

PEG ratio between 0 and 1.1, ranked by PEG (lower first).

SymbolCompanyPricePEGRisk

Find best buys

Ranked purely from what's in your database above — nothing is fetched. Scores use the same rules-based method throughout this project: ROE, margin, growth, PEG, and 52-week position, weighted, with missing data points simply excluded rather than counted against a stock.

$ \u2013

No results yet Add some data above, then rank it.

Retail demand signal: cardboard box index

Your database

Connect a real database file on your computer below (opens/saves automatically from then on), or import a file exported from the MarketMetrics Claude.ai artifact, or build this up entirely by hand. Nothing here is ever stored in this browser — only in the file you connect.

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Everything in the database

TickerCompanyCategoryPriceSource

Add a stock by hand

Missing data points are simply left out of scoring for that stock — nothing here is required except a ticker and a price.

Portfolio

Tracks value using the prices stored in this database \u2014 not live quotes, since this file has no server of its own and can\u2019t call a pricing API from a browser. For real live prices and this exact same portfolio updating in real time, use the connector artifact below.

Open live-price Portfolio & Stock Picker \u2192

Add a holding

SymbolCompanySharesPrice (stored)Value52w range