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b71abcfbf4
* quick econ fix * black * keys and feature flags * terminal name 👀 * some more replacements * some more replacements * edit pyproject * gst -> openbb * add example portfolios back to git * Update api from gst * sorry. skipping some tests * another round of names * another round of test edits * Missed some .gst refs and update timezone * water mark stuff * Fixing Names in terminal.spec and name of GTFF_DEFAULTS to OBBFF_DEFAULTS * fix more GST to OpenBB Terminal * Logging : merge conflicts with main * Revert wrong files Co-authored-by: Andrew <andrew.kenreich@gmail.com> Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt> Co-authored-by: Chavithra PARANA <chavithra@gmail.com>
88 lines
1.7 KiB
Python
88 lines
1.7 KiB
Python
"""Trend Indicators Technical Analysis Model"""
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__docformat__ = "numpy"
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import logging
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import pandas as pd
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import pandas_ta as ta
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from openbb_terminal.decorators import log_start_end
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def adx(
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high_values: pd.Series,
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low_values: pd.Series,
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close_values: pd.Series,
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length: int = 14,
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scalar: int = 100,
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drift: int = 1,
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):
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"""ADX technical indicator
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Parameters
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----------
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high_values: pd.Series
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High prices
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low_values: pd.Series
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Low prices
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close_values: pd.Series
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close prices
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length: int
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Length of window
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scalar: int
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Scalar variable
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drift: int
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Drift variable
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Returns
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-------
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pd.DataFrame
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DataFrame with adx indicator
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"""
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return pd.DataFrame(
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ta.adx(
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high=high_values,
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low=low_values,
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close=close_values,
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length=length,
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scalar=scalar,
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drift=drift,
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).dropna()
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)
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@log_start_end(log=logger)
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def aroon(
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high_values: pd.Series, low_values: pd.Series, length: int = 25, scalar: int = 100
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) -> pd.DataFrame:
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"""Aroon technical indicator
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Parameters
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----------
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high_values: pd.Series
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High prices
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low_values: pd.Series
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Low prices
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length : int
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Length of window
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scalar : int
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Scalar variable
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Returns
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-------
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pd.DataFrame
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DataFrame with aroon indicator
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"""
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return pd.DataFrame(
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ta.aroon(
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high=high_values,
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low=low_values,
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length=length,
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scalar=scalar,
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).dropna()
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)
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