> 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/calmar-ratio/faqs.md).

# FAQs

Calmar Ratio FAQs

<details>

<summary>How is the CAGR calculated in this tool?</summary>

It uses the exact number of seconds elapsed between the start of the lookback period and the current bar, providing a more accurate annualized figure than simple bar counting.

</details>

<details>

<summary>Why use Calmar instead of the Sharpe Ratio?</summary>

Sharpe uses standard deviation (volatility), which treats "good" upward volatility as risk. Calmar uses drawdown, focusing specifically on the risk of losing capital.

</details>

<details>

<summary>What is a "good" Calmar Ratio?</summary>

Generally, a ratio > 1.0 is considered strong. Exceptional traders or assets often maintain a ratio > 3.0, though this is rare over long periods.

</details>

<details>

<summary>Does the lookback setting affect the calculation?</summary>

Yes. A shorter lookback (e.g., 60 days) captures tactical performance, while the default 252 days (one trading year) provides a comprehensive view of annual efficiency.

</details>

<details>

<summary>What does the "Risk Visuals" setting do?</summary>

It enables a background heatmap where the intensity of the color corresponds to the current drawdown percentage, allowing you to see "pain points" historically.

</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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.candelacharts.com/investing/risk-adjusted-performance/calmar-ratio/faqs.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
