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Add screener and insider commands using Finviz API
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didier
61
fundamental_analysis/finviz_api.py
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61
fundamental_analysis/finviz_api.py
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import finviz
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import argparse
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from stock_market_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="""Gives 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, Shs Outstand, Perf Week,
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Market Cap, Forward P/E, EPS next Y, Insider Trans, Shs Float, Perf Month, Income, EPS next Q,
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Inst Own, Short Float, Perf Quarter, Sales, P/S, EPS this Y, Inst Trans, Short Ratio, Perf Half Y,
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Book/sh, P/B, ROA, Target Price, Perf Year, Cash/sh, P/C, ROE, 52W Range, Perf YTD, P/FCF,
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EPS past 5Y, ROI, 52W High, Beta, Quick Ratio, Sales past 5Y, Gross Margin, 52W Low, ATR, Employees,
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Current Ratio, Sales Q/Q, Oper. Margin, RSI (14), Volatility, Optionable, Debt/Eq, EPS Q/Q,
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Profit Margin, Rel Volume, Prev Close, Shortable, LT Debt/Eq, Earnings, Payout, Avg Volume,
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Price, Recom, SMA20, SMA50, SMA200, Volume, Change. [Source: Finviz API]""")
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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}")
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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("ERROR!\n")
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return
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# ---------------------------------------------------- INSIDER ----------------------------------------------------
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def insider(l_args, s_ticker):
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parser = argparse.ArgumentParser(prog='insider',
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description="""Gives information about inside traders. The following fields are expected:
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Date, Relationship, Transaction, #Shares, Cost, Value ($), #Shares Total, Insider Trading,
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SEC Form 4. [Source: Finviz API]""")
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parser.add_argument('-n', "--num", action="store", dest="n_num", type=check_positive, default=10, help='Number of latest inside traders')
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try:
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(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
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if l_unknown_args:
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print(f"The following args couldn't be interpreted: {l_unknown_args}")
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d_finviz_insider = finviz.get_insider(s_ticker)
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df_fa = pd.DataFrame.from_dict(d_finviz_insider)
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df_fa.set_index("Date", inplace=True)
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df_fa = df_fa[['Relationship', 'Transaction', '#Shares', 'Cost', 'Value ($)', '#Shares Total', 'Insider Trading', 'SEC Form 4']]
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print(df_fa.head(n=ns_parser.n_num))
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print("")
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except:
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print("ERROR!\n")
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return
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@@ -12,6 +12,7 @@ from pandas.io.json import json_normalize
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from fundamental_analysis import alpha_vantage_api as av_api
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from fundamental_analysis import financial_modeling_prep_api as fmp_api
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from fundamental_analysis import finviz_api as f_api
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# -----------------------------------------------------------------------------------------------------------------------
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@@ -43,12 +44,15 @@ def print_fundamental_analysis(s_ticker, s_start, s_interval):
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print(" quote quote of the company")
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print(" enterprise enterprise value of the company over time")
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print(" dcf discounted cash flow of the company over time")
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print(" income income statements of the company")
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print(" balance balance sheet of the company")
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print(" cash cash flow of the company")
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print(" inc income statements of the company")
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print(" bal balance sheet of the company")
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print(" cashf cash flow of the company")
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print(" metrics key metrics of the company")
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print(" ratios financial ratios of the company")
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print(" growth financial statement growth of the company")
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print("\nFinviz API")
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print(" screener screen info about the company")
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print(" insider insider trading of the company")
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print("")
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@@ -146,13 +150,13 @@ def fa_menu(fa_parser, s_ticker, s_start, s_interval):
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fmp_api.discounted_cash_flow(l_args, s_ticker)
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# Financial statement:
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elif ns_known_args.fa == 'income':
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elif ns_known_args.fa == 'inc':
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fmp_api.income_statement(l_args, s_ticker)
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elif ns_known_args.fa == 'balance':
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elif ns_known_args.fa == 'bal':
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fmp_api.balance_sheet(l_args, s_ticker)
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elif ns_known_args.fa == 'cash':
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elif ns_known_args.fa == 'cashf':
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fmp_api.cash_flow(l_args, s_ticker)
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# Ratios:
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@@ -165,6 +169,13 @@ def fa_menu(fa_parser, s_ticker, s_start, s_interval):
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elif ns_known_args.fa == 'growth':
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fmp_api.financial_statement_growth(l_args, s_ticker)
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# -------------------------------------------------- FINVIZ -----------------------------------------------
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elif ns_known_args.fa == 'screener':
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f_api.screener(l_args, s_ticker)
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elif ns_known_args.fa == 'insider':
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f_api.insider(l_args, s_ticker)
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# ------------------------------------------------------------------------------------------------------------
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else:
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print("Command not recognized!")
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@@ -62,9 +62,10 @@ def main():
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# Add list of arguments that the fundamental analysis parser accepts
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fa_parser = argparse.ArgumentParser(prog='fundamental_analysis', add_help=False)
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fa_parser.add_argument('fa', choices=['info', 'help', 'q', 'quit',
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'overview', 'key', 'profile', 'rating', 'quote', 'enterprise', 'dcf', # details
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'income', 'balance', 'cash', 'earnings', # financial statement
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'metrics', 'ratios', 'growth']) # ratios
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'overview', 'key', 'income', 'balance', 'cash', 'earnings', # AV
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'profile', 'rating', 'quote', 'enterprise', 'dcf', # FMP
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'inc', 'bal', 'cashf', 'metrics', 'ratios', 'growth', # FMP
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'screener', 'insider']) # Finviz
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# Add list of arguments that the technical analysis parser accepts
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ta_parser = argparse.ArgumentParser(prog='technical_analysis', add_help=False)
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@@ -133,7 +134,7 @@ def main():
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print("Hope you made money today. Good bye my lover, good bye my friend.\n")
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return
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else:
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print_help(s_ticker, s_start, s_interval, b_is_stock_market_open())
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cmd.print_help(s_ticker, s_start, s_interval, b_is_stock_market_open())
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# -------------------------------------------- TECHNICAL ANALYSIS ----------------------------------------------
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elif ns_known_args.opt == 'ta':
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@@ -143,7 +144,7 @@ def main():
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print("Hope you made money today. Good bye my lover, good bye my friend.\n")
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return
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else:
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print_help(s_ticker, s_start, s_interval, b_is_stock_market_open())
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cmd.print_help(s_ticker, s_start, s_interval, b_is_stock_market_open())
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# ------------------------------------------------ PREDICTION --------------------------------------------------
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