divergences
Detect regular and hidden divergences between price swings and an oscillator.
Examples
from openbb import obb
# RSI divergences on daily SPY.
data = obb.equity.price.historical(symbol='SPY', start_date='2022-01-01', provider='yfinance').results
events = obb.technical.divergences(data=data, indicator='rsi')
obb.technical.signals.divergences(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}], indicator='rsi')
Parameters
- standard
data: Data | DataFrame | Series | dict | list | list[DataFrame] | list[Data] | list[Series] | ndarray
OHLC price series.
indicator: str
Oscillator paired with price for divergence detection.
index: str
Default: date
Index column name in data.
indicator_length: int
Default: 14
Lookback length used inside the oscillator.
target: str
Default: close
Price column used for swings.
lookback: int
Default: 60
Number of recent bars in which to search for swing pairs.
min_swing_distance: int
Default: 5
Minimum number of bars separating two swing points. Also doubles as the half-window for local-extreme detection.
Returns
results: list[DivergenceEvent]
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
confirmation_date: date | datetime | str
Bar of the later (confirming) swing.
prior_swing_date: date | datetime | str
Bar of the earlier swing in the pair.
kind: str
regular_bullish / regular_bearish flag reversal signals; hidden_* flag trend-continuation signals.
price_at_prior: float
Target-column price at prior_swing_date.
price_at_confirmation: float
Target-column price at confirmation_date.
indicator_at_prior: float
Oscillator value at prior_swing_date.
indicator_at_confirmation: float
Oscillator value at confirmation_date.
strength: float
0-1 score combining the relative price and indicator displacements. Higher means a wider, more emphatic divergence.