> For the complete documentation index, see [llms.txt](https://docs.candelacharts.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.candelacharts.com/investing/market-structure-and-rotation/investor-tool/faqs.md).

# FAQs

<details>

<summary>How is the MA length computed across different timeframes?</summary>

`ma_length = years × bars_per_year`, where bars/year adapts to the chart: Daily≈365, Weekly≈52, Monthly≈12, Intraday≈252. Your “2 years” remains time-comparable across TFs.

</details>

<details>

<summary>Do WVAPs repaint?</summary>

They’re **cumulative within the active anchor** and **reset at the new anchor** (e.g., new Month/Quarter/Year). They update as new bars arrive but don’t revise completed anchor history after the bar closes.

</details>

<details>

<summary>My WVAP didn’t reset—why?</summary>

Resets occur only when the platform detects a true boundary via `timeframe.change(...)`. If your anchor is Year but you’re on a custom/time-compressed dataset, ensure the chart has full calendar continuity and that the selected anchor granularity is supported on that symbol.

</details>

<details>

<summary>Can I use this on symbols with little or no volume (indices, some CFDs, synthetics)?</summary>

Yes—**Investor MA** and **bands** work normally because they use price only. However, **WVAPs** depend on volume; on symbols without reliable volume they may be `na` or noisy. In that case, disable WVAPs and rely on MA + bands (and anchors on higher-quality proxies, if needed).

</details>

<details>

<summary>Do the MA and bands repaint or change after the bar closes?</summary>

No. The MA (`ta.sma`) and bands (`± multiplier × stdev`) use only past data and **do not repaint** once a bar closes. They will look different when you **change timeframe** because `bars_per_year` adjusts (Daily≈365, Weekly≈52, etc.), and early bars can be `na` until the lookback fills—both expected behavior, not repainting.

</details>


---

# 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.candelacharts.com/investing/market-structure-and-rotation/investor-tool/faqs.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.