atr
Calculate the Average True Range.
Used to measure volatility, especially volatility caused by gaps or limit moves. The ATR metric helps understand how much the values in your data change on average, giving insights into the stability or unpredictability during a certain period. It's particularly useful for spotting trends of increase or decrease in variations, without getting into technical trading details. The method considers not just the day-to-day changes but also accounts for any sudden jumps or drops, ensuring you get a comprehensive view of movement.
Example
from openbb import obb
stock_data = obb.equity.price.historical(symbol='TSLA', start_date='2023-01-01', provider='fmp')
atr_data = obb.technical.atr(data=stock_data.results)
Parameters
- standard
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | List[Data] | List of data to apply the indicator to. | False | |
| index | str | Index column name, by default "date" | date | False |
| length | int | It's period, by default 14 | 14 | False |
| mamode | Literal['rma', 'ema', 'sma', 'wma'] | Moving average mode, by default "rma" | rma | False |
| drift | int | The difference period, by default 1 | 1 | False |
| offset | int | How many periods to offset the result, by default 0 | 0 | False |
Returns
OBBject
results : List[Data]
List of data with the indicator applied.