FAQ

chevron-rightWhich stock exchanges and securities are supported?hashtag

Yahoo Finance covers most major global exchanges, including NYSE, NASDAQ, LSE, TSX, and many others. You can pull prices for stocks, ETFs, mutual funds, indices (e.g., ^GSPC for the S&P 500), and cryptocurrencies (e.g., BTC-USD). Use the exact ticker format shown on Yahoo Finance's website.

chevron-rightHow far back does historical data go?hashtag

Select max as your date range to get the full available history. For large-cap US stocks this can go back several decades. For newer listings, IPOs, or crypto, the history may be shorter. Pair max with a 1mo or 1wk interval to keep row counts manageable.

chevron-rightCan I pull data for multiple tickers in one data flow?hashtag

Yes. Enter your tickers as a comma-separated list in the Stock tickers field (e.g., AAPL, GOOGL, MSFT). All tickers will be returned in a single dataset with a Ticker column so you can filter or pivot by symbol at the destination.

chevron-rightWhat's the difference between Close and Adjusted Close?hashtag

Close is the raw price at which the last trade occurred during the session. Adjusted Close is modified retroactively to account for stock splits and dividend payments, making it the more accurate field for calculating historical returns across time.

chevron-rightCan I use Yahoo Finance Price data in AI tools?hashtag

Yes. Coupler.io supports AI destinations including ChatGPT, Claude, Gemini, Perplexity, Cursor, and OpenClaw. You can send your price data directly to these tools to ask questions, generate summaries, or build models based on the data.

chevron-rightWhy do I get empty results even though the data flow runs without errors?hashtag

The most common cause is an incompatible interval and date range combination. For example, 1m interval only works with very short date ranges (typically 7 days or less). Check the interval/range pairing and refer to the notes in the Data Overview article for supported combinations.

chevron-rightCan I combine Yahoo Finance Price data with other sources?hashtag

Absolutely. Use Coupler.io's Join transformation to merge price data with internal datasets (e.g., transaction records, portfolio holdings). Use Append to combine price histories from multiple tickers or API keys into one table. Use Aggregate to compute summary metrics like average price or total volume over a period.

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For details on available fields and supported interval/range combinations, see the Data Overview article. For help with API key errors, missing data, or rate limits, see Common Issues.

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