sma
Calculate the Simple Moving Average (SMA).
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.
Parameters
- standard
data
: list[openbb_core.provider.abstract.data.Data]
list of data to be used for the calculation.
• Optional: False
target
: str
Target column name.
• Default: close
• Optional: True
index
: str
Index column name to use with data
, by default 'date'.
• Default: date
• Optional: True
length
: int
Number of periods to be used for the calculation, by default 50.
• Default: 50
• Optional: True
offset
: int
Offset from the current period, by default 0.
• Optional: True
Returns
results
: list[Data]
Serializable results.
provider
: None
Provider name.
warnings
: Optional[list[Warning_]]
list of warnings.
chart
: Optional[Chart]
Chart object.
extra
: dict[str, Any]
Extra info.