# Returns

### Contents

* [ROI, percent](#roi)

## ROI

### Definition

The return on investment for the asset assuming a purchase 12 months prior.[<br>](https://docs.coinmetrics.io/info/metrics/ROI1yr)

| Name         | MetricID | Unit          | Interval      |
| ------------ | -------- | ------------- | ------------- |
| ROI, 1 Year  | ROI1yr   | Dimensionless | 1 day, 1 hour |
| ROI, 30 Days | ROI30d   | Dimensionless | 1 day, 1 hour |

### Details

Calculated as PriceUSD Change/PriceUSD Previous\*100

### Release History

* Released in the 1.0 release of NDP

### Availability for Assets

{% embed url="<https://coverage.coinmetrics.io/asset-metrics/ROI1yr>" %}

### API Endpoints

Exchange Deposits metrics can be accessed using these endpoints:

* `timeseries/asset-metrics`

and by passing in the metric ID's `ROI*` in the `metrics` parameter.

<mark style="color:blue;">`GET`</mark> `undefined/timeseries/asset-metrics`

{% tabs %}
{% tab title="Shell" %}

```shell
curl --compressed "https://api.coinmetrics.io/v4/timeseries/asset-metrics?metrics=ROI1yr&assets=btc&pretty=true&api_key=<your_key>"
```

{% endtab %}

{% tab title="Python" %}

```python
import requests
response = requests.get('https://api.coinmetrics.io/v4/timeseries/asset-metrics?metrics=ROI1yr&assets=btc&pretty=true&api_key=<your_key>').json()
print(response)
```

{% endtab %}

{% tab title="Python Client" %}

```python
from coinmetrics.api_client import CoinMetricsClient

api_key = "<API_KEY>"
client = CoinMetricsClient(api_key)

print(
    client.get_asset_metrics(
        metrics="ROI1yr", 
        assets="btc",
    ).to_dataframe()
)
```

{% endtab %}
{% endtabs %}


---

# Agent Instructions: 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:

```
GET https://gitbook-docs.coinmetrics.io/network-data/network-data-overview/market/returns.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.