> 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/risk-adjusted-performance/multi-asset-monthly-returns-heatmap/faqs.md).

# FAQs

<details>

<summary><strong>Why is the heatmap not loading or showing a timeframe error?</strong></summary>

The indicator requires your chart to be set to the 1M (Monthly) timeframe to accurately pull and calculate the monthly data for all 28 assets. Please switch your chart to the 1M timeframe.

</details>

<details>

<summary><strong>Can I change the assets displayed in the heatmap?</strong></summary>

Yes, all 28 assets are fully customizable. You can change the ticker symbol and the display name for each slot in the indicator's settings menu.

</details>

<details>

<summary><strong>What does the "Calc Mode" setting do?</strong></summary>

The Calc Mode determines which statistical metric is calculated and displayed for each month. For example, "Mean" shows the average historical return for that month, while "Max" shows the single highest return ever recorded for that month.

</details>

<details>

<summary><strong>Why do the color intensities change when I switch Calc Modes?</strong></summary>

The indicator features dynamic heatmap scaling. Because different metrics have different typical ranges (e.g., the 'Sum' of all returns will be much larger than the 'Mean'), the indicator automatically adjusts its color intensity thresholds so the heatmap remains visually readable and useful.

</details>

<details>

<summary><strong>Does this indicator slow down TradingView?</strong></summary>

Because it pulls historical data for up to 28 different assets simultaneously and performs complex statistical calculations, it can take a moment to load upon initial application or when changing settings. This is normal and expected behavior for heavy data-aggregation scripts.

</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/risk-adjusted-performance/multi-asset-monthly-returns-heatmap/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.