Stock Screener: SEC Analysis

The app teaches by having you handle real market data rather than sample data. Flash cards cover the concepts, and guides explain what P/E, P/B, RSI, MACD, ROE and thirty-odd other metrics actually mean, in language that assumes no prior finance training.

A built-in filing browser opens real 10-K, 10-Q and 8-K documents from S&P 500 companies, so the numbers being explained can be traced to the page they came from.

Custom screeners let you practise the actual skill: build a filter across valuation, quality, technical and growth metrics and see which companies come back. The app is explicit that it is educational, that data is largely end-of-day, and that it gives no buy or sell recommendations.

• Flash cards and guides for more than thirty valuation, quality and technical metrics
• A browser for real 10-K, 10-Q and 8-K filings from S&P 500 companies
• Custom screeners across valuation, quality, technical and growth criteria
• Available in seventeen languages
• Stated plainly as educational, with no buy or sell recommendations

Investing apps optimise for the trade, and learning apps use invented data that behaves nothing like a market. Stock Screener sits in between deliberately: real filings, real ratios, no order button. The disclaimers are unusually prominent for a finance app because the product only works if nobody mistakes an education tool for advice.

The developer has been writing native Apple software since the first public iPhone SDK in 2008. He works from Rennes, France, under SAS Corvaisier, and has published 24 apps across 7 platforms, from iPhone and iPad through to Apple Watch, Mac, Apple TV, Android, Fire TV and Roku. Everything is built natively, one platform at a time, with no cross-platform wrapper in between.