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15d1870194
* Re-solve the dependencies for optimization extras * Remove unused reportlab helpers * Update install from source and troubleshooting docs * Fix typos found by cspell * Prevent po menu from launching when optimization toolkit not installed * Add optimization dependencies to default requirements.txt for the CI * Add optimization toolkit installation to the CI * Fix markdown linting * Update CI test dependency installation for matrix tests * Fix markdown linting * Update source installation docs * Clean up ToC in the main readme * Update the SDK documentation * Fix markdown linting after making readme sections linkable * Fix more markdown linting * Fix more markdown linting * Update secrets detection with exclusion rules * Bump detect-secrets configuration * Tune secret detector * Fix more markdown linting * Add optimization toolkit install to installer GH actions * Add optimization toolkit install to docker build * Fix typos * Add "all" extras setting to install torch and riskfolio * Move forecasting dependencies to pyproject.toml * Update CI build configs * Update documentation to feature the "all" extra * Lint markdown * Update docs to specify requirement of having a C compiler * Added log Id to codesigning steps in inteel Macos workflow * Changed disk for the m1 macos build * Changed disk for the m1 macos build * Changed disk for the intel macos build * taking out sigtool removal line * Remove dev version number from pyproject.toml * removing sigtool from all build steps * changes to m1 build and commenting test_report_economy * more m1 build changes * testing exit on conda setup * some more * changing shell to bash to setup conda * bash on lines * bash on all lines * small bash removals * intel fix and test_crypto int test * upgrading setupminiconda version * adding back in intel conda init and reset * intel removal of init * taking bash back out from m1 * removing old codesign lines * adding codesign specific binaries * ssl fix for all terminal * removing if installer * various ssl fixes across commands * fixing ssl mistake * integration test changes * Linting + remove comment * Update poetry.lock * Update requirements * Update the docs to mention that PO is not working on arm arch * Update deps to pin setuptools * Disable reports on pyinstaller packaged version * Update reports * small grammar change for forecast report message * Pin grpcio following introduced regression in 1.51.0 * Update docs to reflect changes in how optimization is installed Co-authored-by: Luqman Bello <lb@Luqmans-MacBook-Pro.local> Co-authored-by: James Simmons <simmonsj330@gmail.com> Co-authored-by: James Simmons <53658028+simmonsj330@users.noreply.github.com> Co-authored-by: James Maslek <jmaslek11@gmail.com> Co-authored-by: Chavithra <chavithra@gmail.com>
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
""" Relative Strength Percentile Model """
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__docformat__ = "numpy"
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import logging
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from typing import Tuple
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import pandas as pd
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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 get_rsp(
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s_ticker: str = "",
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) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame, pd.DataFrame]:
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"""Relative strength percentile [Source: https://github.com/skyte/relative-strength]
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Currently takes from https://github.com/soggyomelette/rs-log in order to get desired output
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Parameters
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----------
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s_ticker : str
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Stock Ticker
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Returns
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-------
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Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame, pd.DataFrame]
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Dataframe of stock percentile, Dataframe of industry percentile,
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Raw stock dataframe for export, Raw industry dataframe for export
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"""
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df_stock_p = pd.read_csv(
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"https://raw.githubusercontent.com/soggyomelette/rs-log/main/output/rs_stocks.csv"
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)
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df_industries_p = pd.read_csv(
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"https://raw.githubusercontent.com/soggyomelette/rs-log/main/output/rs_industries.csv"
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)
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rsp_stock = pd.DataFrame()
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rsp_industry = pd.DataFrame()
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if s_ticker != "":
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rsp_stock = df_stock_p[df_stock_p["Ticker"].str.match(s_ticker)]
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for i in range(len(df_industries_p)):
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if s_ticker in df_industries_p.iloc[i]["Tickers"]:
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rsp_industry = df_industries_p.iloc[[i]]
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return (rsp_stock, rsp_industry, df_stock_p, df_industries_p) # type: ignore
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