# Sliding Slope

Calculates the linear slope on a given row, looking backwards for a user-defined window of periods.

Pass in a partition\_col, an order\_col, and a lookback window size.

NOTE: Your data should be a properly formatted timeseries dataset before applying this transformation. In other words, each period should only appear once, and periods considered zero should be imputed with 0 already. NOTE: Slope calculations are notoriously sensitive to large outliers, especially with smaller windows.

Example use case: On daily stock data, calculate SLOPE by TICKER, with a 14-period lookback window.

## Parameters

| Name           | Type   | Description                                                                                   | Is Optional |
| -------------- | ------ | --------------------------------------------------------------------------------------------- | ----------- |
| partition\_col | column | Grouping column to calculate the slope within.                                                |             |
| order\_col     | column | Column to order rows by when calculating the agg window. Slope automatically sorts ascending. |             |
| value\_col     | column | Column to calulate slope for.                                                                 |             |
| window         | int    | Number of periods to use as a lookback period, to calculate slope.                            |             |

## Example

```python
ds = rasgo.get.dataset(fqtn="RASGOCOMMUNITY.PUBLIC.ZEPL_DAILY_STOCK_FEATURES")

ds2 = ds.sliding_slope(partition_col = 'TICKER', 
              order_col = 'DATE', 
              value_col = 'CLOSE', 
              window = 14)

```

## Source Code

{% embed url="<https://github.com/rasgointelligence/RasgoTransforms/blob/main/rasgotransforms/rasgotransforms/transforms/sliding_slope/snowflake/sliding_slope.sql>" %}


---

# 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://docs.rasgoml.com/rasgo-docs/rasgo-0.1/all-transforms/sliding_slope.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.