> For the complete documentation index, see [llms.txt](https://docs.coupler.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coupler.io/sources/category/finance-and-accounting/yahoo-finance-price/faq.md).

# FAQ

<details>

<summary>Which stock exchanges and securities are supported?</summary>

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.

</details>

<details>

<summary>How far back does historical data go?</summary>

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.

</details>

<details>

<summary>Can I pull data for multiple tickers in one data flow?</summary>

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.

</details>

<details>

<summary>What's the difference between Close and Adjusted Close?</summary>

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.

</details>

<details>

<summary>Can I use Yahoo Finance Price data in AI tools?</summary>

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.

</details>

<details>

<summary>Why do I get empty results even though the data flow runs without errors?</summary>

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.

</details>

<details>

<summary>Can I combine Yahoo Finance Price data with other sources?</summary>

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.

</details>

{% hint style="info" %}
For details on available fields and supported interval/range combinations, see the [Data Overview](/sources/category/finance-and-accounting/yahoo-finance-price/data-overview.md) article. For help with API key errors, missing data, or rate limits, see [Common Issues](/sources/category/finance-and-accounting/yahoo-finance-price/common-issues.md).
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.coupler.io/sources/category/finance-and-accounting/yahoo-finance-price/faq.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
