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39 lines
2.2 KiB
Python
39 lines
2.2 KiB
Python
import finviz
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import argparse
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from helper_funcs import *
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import pandas as pd
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# ---------------------------------------------------- SCREENER ----------------------------------------------------
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def screener(l_args, s_ticker):
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parser = argparse.ArgumentParser(prog='screener',
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description="""Print several metrics about the company. The following fields are expected:
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Company, Sector, Industry, Country, Index, P/E, EPS (ttm), Insider Own,
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Shs Outstand, Perf Week, Market Cap, Forward P/E, EPS next Y, Insider Trans,
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Shs Float, Perf Month, Income, EPS next Q, Inst Own, Short Float, Perf Quarter,
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Sales, P/S, EPS this Y, Inst Trans, Short Ratio, Perf Half Y, Book/sh, P/B, ROA,
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Target Price, Perf Year, Cash/sh, P/C, ROE, 52W Range, Perf YTD, P/FCF, EPS past 5Y,
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ROI, 52W High, Beta, Quick Ratio, Sales past 5Y, Gross Margin, 52W Low, ATR,
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Employees, Current Ratio, Sales Q/Q, Oper. Margin, RSI (14), Volatility, Optionable,
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Debt/Eq, EPS Q/Q, Profit Margin, Rel Volume, Prev Close, Shortable, LT Debt/Eq,
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Earnings, Payout, Avg Volume, Price, Recom, SMA20, SMA50, SMA200, Volume, Change.
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[Source: Finviz]""")
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try:
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(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
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if l_unknown_args:
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print(f"The following args couldn't be interpreted: {l_unknown_args}\n")
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return
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d_finviz_stock = finviz.get_stock(s_ticker)
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df_fa = pd.DataFrame.from_dict(d_finviz_stock, orient='index', columns=['Values'])
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df_fa = df_fa[df_fa.Values != '-']
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print(df_fa.to_string(header=False))
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print("")
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except:
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print("")
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return
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