[Scanr.ai] Eoin

Everything you need to know about the scanner

Scanner

Screen on financial data from SEC filings — with filing-period options and fundamental-to-fundamental comparisons.

How the scanner is organised — the filter types you can screen with, and where to find the shared reference tables.

Screen on a stock's own market and profile data — price, volume, shares, sector, 52-week range and earnings dates.

Screen with calculated price and volume studies — set conditions, compare studies against each other, and apply modifiers.

Screen with pre-computed relative-strength and regime indicators — where a stock stands versus the market, its peers, and its sector/thematic ETF.

Every fundamental metric available across scanner filters and stock pages — grouped by financial statement.

The data sources a technical study can run on — price series, volume, trade data, microstructure and cross-sectional inputs.

Every technical study available to the scanner and charts — grouped by type, with its shorthand notation and parameters.

What each performance metric measures — risk-adjusted returns, drawdowns, win rates and more.

What a time horizon means on the performance dashboard, and how each bucket is computed.

The two-part lookback and interval model behind the candlestick chart.

<p>Scanr.ai features under consideration, planned, in-progress, and done.</p>