sma
Simple Moving Average.
Moving Averages are used to smooth the data in an array to help eliminate noise and identify trends. The Simple Moving Average is literally the simplest form of a moving average. Each output value is the average of the previous n values. In a Simple Moving Average, each value in the time period carries equal weight, and values outside of the time period are not included in the average. This makes it less responsive to recent changes in the data, which can be useful for filtering out those changes.
Example:
from openbb import obb
stock_data = obb.equity.price.historical(symbol="TSLA", start_date="2023-01-01", provider="fmp")
sma_data = obb.technical.sma(data=stock_data.results,target="close",length=50,offset=0)
Parameters
- Standard
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | List[Data] | List of data to be used for the calculation. | None | False |
| target | str | Target column name. | close | True |
| index | str | Index column name to use with data, by default "date". | date | True |
| length | int | Number of periods to be used for the calculation, by default 50. | 50 | True |
| offset | int | Offset from the current period, by default 0. | 0 | True |
Returns
The calculated data.