kc
Calculate the Keltner Channels.
Keltner Channels are volatility-based bands that are placed on either side of an asset's price and can aid in determining the direction of a trend.The Keltner channel uses the average true range (ATR) or volatility, with breaks above or below the top and bottom barriers signaling a continuation.
Examples
from openbb import obb
# Get the Keltner Channels.
stock_data = obb.equity.price.historical(symbol='TSLA', start_date='2023-01-01', provider='fmp')
kc_data = obb.technical.kc(data=stock_data.results, length=20, scalar=20, mamode='ema', offset=0)
obb.technical.kc(length=2, data='[{'date': '2023-01-02', 'open': 110.0, 'high': 120.0, 'low': 100.0, 'close': 115.0, 'volume': 10000.0}, {'date': '2023-01-03', 'open': 165.0, 'high': 180.0, 'low': 150.0, 'close': 172.5, 'volume': 15000.0}, {'date': '2023-01-04', 'open': 146.67, 'high': 160.0, 'low': 133.33, 'close': 153.33, 'volume': 13333.33}, {'date': '2023-01-05', 'open': 137.5, 'high': 150.0, 'low': 125.0, 'close': 143.75, 'volume': 12500.0}, {'date': '2023-01-06', 'open': 132.0, 'high': 144.0, 'low': 120.0, 'close': 138.0, 'volume': 12000.0}]')
Parameters
- standard
data
: list[openbb_core.provider.abstract.data.Data]
The data to use for the Keltner Channels calculation.
• Optional: False
index
: str
Index column name to use with data
, by default 'date'
• Default: date
• Optional: True
length
: int
The length of the Keltner Channels, by default 20
• Default: 20
• Optional: True
scalar
: float
The scalar to use for the Keltner Channels, by default 20
• Default: 20
• Optional: True
mamode
: Literal['ema', 'sma', 'wma', 'hma', 'zlma']
The moving average mode to use for the Keltner Channels, by default 'ema'
• Default: ema
• Optional: True
offset
: int
The offset to use for the Keltner Channels, 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.