ETF Data in Excel, 5 metrics most investors never pull before buying

About this tutorial

ETF Data in Excel is the fastest way to move beyond a fund's name and headline return and actually see what you are buying before you commit capital. This live session shows long-term and passive investors how to pull real-time and historical ETF metrics directly into a spreadsheet using MarketXLS, so every decision rests on live numbers, not a fund screener snapshot from last week. What you'll see: - Pulling real-time ETF price, volume, and intraday change with MarketXLS functions like mxETFData and mxQuote, laid out in a clean one-row-per-fund comparison table - Fetching expense ratio, assets under management, and average daily volume for a watchlist of ETFs side by side so you can spot funds that look identical on the surface but carry meaningfully different costs - Building a holdings-concentration check that pulls the top-ten underlying positions and their weight percentages, flagging any fund where a single name represents an outsized slice of the portfolio - Calculating a rolling 52-week return and comparing it against a benchmark ETF in the same category, using a single formula column so the comparison updates automatically every session - Setting a conditional-format rule that highlights any ETF whose bid-ask spread has widened beyond a threshold, a liquidity signal most retail investors skip entirely - Wiring a dividend yield and distribution-frequency column into the same table so income-focused investors can filter for monthly-paying funds without leaving the sheet Why this matters: most investors pick an ETF from a screener, glance at the one-year return, and stop there. That workflow misses expense drag compounding over a decade, concentration risk hiding inside a diversified-sounding name, and liquidity gaps that widen exactly when you need to exit quickly. Pulling ETF data in Excel puts all five of those checks in one place, refreshed live, so you can run the same filter logic on a 5-fund shortlist or a 50-fund watchlist without rebuilding the analysis from scratch each time. The spreadsheet becomes a repeatable process, not a one-off lookup, and that consistency is what separates a disciplined allocation decision from a gut-feel trade dressed up with a little research. Built live in Excel with MarketXLS real-time data during this broadcast. A copy of the template and the MarketXLS function reference used in this session are linked in the description below. If you are evaluating MarketXLS for the first time, a free trial link is also included so you can follow along in your own workbook while the stream runs.