How to Track Unusual Options Activity with the Mboum API
A flow monitor that scans every strike by hand will miss the contracts where volume is large relative to open interest.
A flow monitor that scans every strike by hand will miss the contracts where volume is large relative to open interest.
A research card that collects each analyst note by hand will lag the consensus target, range, and rating split for AAPL.
A quote job that fires every weekday morning will still run on a holiday if it only checks the wall clock.
A dashboard that already quotes equities still needs bitcoin's price, market cap, volume, and percent change from the same provider.
A fundamentals panel that scrapes filings by hand will stall the first time the page layout changes, so AAPL's statements should come from one request.
A symbol page that shows only a last price still leaves the AAPL overview card missing exchange, sector, market cap, P/E, EPS, and yield.
An autocomplete box that takes the first symbol starting with AA will often attach the wrong listing to a watchlist.
A scanner that only knows yesterday's leaderboard is already late when you need today's most-active, advanced, and declined stocks in one payload.
A watchlist that refreshes through the morning still needs the latest AAPL headline, and scraping a news site for that story is the step that breaks first.
Learn how to programmatically track Dividends, Stock Splits, and IPOs using the Mboum API. A comprehensive guide for developers building financial applications.