mirror of
https://github.com/OpenBB-finance/OpenBB.git
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b5e807b188
* fix conversion error str to float by replacing commas in numeric columns * fix conversion error str to float by replacing commas in numeric columns * adds -d as default arg if a date is provided * fixe order of parameters * fixed the check on the emptiness of the trading view recommendation * added more screeners * changed if in order to avoid result used before assignment exception Co-authored-by: James Maslek <jmaslek11@gmail.com>
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
"""Tradingview view"""
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__docformat__ = "numpy"
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import logging
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import os
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import pandas as pd
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from openbb_terminal.decorators import log_start_end
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from openbb_terminal.helper_funcs import export_data, print_rich_table
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from openbb_terminal.stocks.technical_analysis import tradingview_model
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from openbb_terminal.rich_config import console
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def print_recommendation(
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symbol: str,
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screener: str = "america",
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exchange: str = "",
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interval: str = "",
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export: str = "",
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):
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"""Print tradingview recommendation based on technical indicators
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Parameters
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----------
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symbol : str
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Ticker symbol to get tradingview recommendation based on technical indicators
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screener : str
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Screener based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
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exchange: str
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Exchange based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
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interval: str
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Interval time to check technical indicators and correspondent recommendation
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export: str
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Format of export file
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"""
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recom = tradingview_model.get_tradingview_recommendation(
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symbol, screener, exchange, interval
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)
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if (isinstance(recom, pd.DataFrame) and recom.empty) or (
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not isinstance(recom, pd.DataFrame) and not recom
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):
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console.print("[red]The API did not return any recommendations.[/red]\n")
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return
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export_data(
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export,
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os.path.dirname(os.path.abspath(__file__)),
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"recom",
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recom,
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)
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print_rich_table(
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recom,
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headers=list(recom.columns),
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title="Ticker Recommendation",
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show_index=True,
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)
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