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fib

Create Fibonacci Retracement Levels.

This method draws from a classic technique to pinpoint significant price levels that often indicate where the market might find support or resistance. It's a tool used to gauge potential turning points in the data by applying a mathematical approach rooted in nature's patterns. Is used to get insights into where prices could head next, based on historical movements.

Examples​

from openbb import obb
# Get the Bollinger Band Width.
stock_data = obb.equity.price.historical(symbol='TSLA', start_date='2023-01-01', provider='fmp')
fib_data = obb.technical.fib(data=stock_data.results, period=120)
obb.technical.fib(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​

data: list[openbb_core.provider.abstract.data.Data]

list of data to apply the indicator to.

• Optional: False

index: str

Index column name, by default 'date'

• Default: date

• Optional: True

period: int

Period to calculate the indicator, by default 120

• Default: 120

• Optional: True

close_column: Literal['close', 'adj_close']

• Default: close

• Optional: True

start_date: str

• Optional: True

end_date: str

• 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.

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