---
title: cusum
description: Learn to use the Cumulative Sum Algorithm (CUSUM) to effortlessly detect
  abrupt changes in your data. Understand parameters like threshold and drift to improve
  your data analysis.
keywords:
- cumulative sum algorithm
- CUSUM
- abrupt changes detection
- data analysis
- threshold
- drift
---

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

<HeadTitle title="stocks/qa/cusum - Reference | OpenBB Terminal Docs" />

Cumulative sum algorithm (CUSUM) to detect abrupt changes in data

### Usage

```python
cusum [-t THRESHOLD] [-d DRIFT]
```

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## Parameters

| Name | Description | Default | Optional | Choices |
| ---- | ----------- | ------- | -------- | ------- |
| threshold | threshold | 0.0 | True | None |
| drift | drift | 0.0 | True | None |

![cusum](https://user-images.githubusercontent.com/46355364/154306207-d68f53f4-2f9a-4c1a-8e0e-b83d49938759.png)

---