macd
Calculate the Moving Average Convergence Divergence (MACD) oscillator.
Examples
from openbb import obb
# MACD(12,26,9) on daily TSLA.
data = obb.equity.price.historical(symbol='TSLA', start_date='2023-01-01', provider='fmp').results
macd = obb.technical.macd(data=data, fast=12, slow=26, signal=9)
# MACD with short windows for mock data.
obb.technical.macd(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}], fast=2, slow=3, signal=1)
Parameters
- standard
data: Data | DataFrame | Series | dict | list | list[DataFrame] | list[Data] | list[Series] | ndarray
Input price series.
target: str
Default: close
Column to compute MACD on.
index: str
Default: date
Index column name in data.
fast: int
Default: 12
Fast EMA window.
slow: int
Default: 26
Slow EMA window.
signal: int
Default: 9
Signal-line EMA window.
chart: bool
Default: False
Whether to create a chart or not, by default False.
Returns
results: list[MacdData]
Serializable results.
provider: str
Provider name.
warnings: Optional[list[Warning_]]
List of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard
date: date | datetime | str
Observation date.
macd: float
MACD line — fast EMA minus slow EMA.
signal: float
Signal line — EMA of MACD.
histogram: float
MACD minus signal.