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https://github.com/OpenBB-finance/OpenBB.git
synced 2026-10-27 12:40:35 +00:00
Improve research menu
This commit is contained in:
didier
@@ -2,10 +2,16 @@ import argparse
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import webbrowser
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# -----------------------------------------------------------------------------------------------------------------------
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def print_research():
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def print_research(s_ticker, s_start, s_interval):
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""" Print help """
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s_intraday = (f"Intraday {s_interval}", "Daily")[s_interval == "1440min"]
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if s_start:
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print(f"\n{s_intraday} Stock: {s_ticker} (from {s_start.strftime('%Y-%m-%d')})")
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else:
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print(f"\n{s_intraday} Stock: {s_ticker}")
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print("\nResearch Mode:")
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print(" help show this fundamental analysis menu again")
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print(" q quit this menu, and shows back to main menu")
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@@ -33,8 +39,7 @@ def print_research():
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print("")
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# ---------------------------------------------------- MENU ----------------------------------------------------
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def res_menu(s_ticker):
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def res_menu(s_ticker, s_start, s_interval):
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# Add list of arguments that the research parser accepts
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res_parser = argparse.ArgumentParser(prog="discovery", add_help=False)
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res_parser.add_argument(
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@@ -64,7 +69,7 @@ def res_menu(s_ticker):
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],
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)
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print_research()
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print_research(s_ticker, s_start, s_interval)
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# Loop forever and ever
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while True:
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@@ -80,7 +85,7 @@ def res_menu(s_ticker):
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try:
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if ns_known_args.cmd == "help":
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print_research()
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print_research(s_ticker, s_start, s_interval)
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elif ns_known_args.cmd == "q":
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# Just leave the RES menu
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@@ -90,116 +95,80 @@ def res_menu(s_ticker):
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# Abandon the program
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return True
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "macroaxis":
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webbrowser.open(f"https://www.macroaxis.com/invest/market/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "yahoo":
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webbrowser.open(f"https://finance.yahoo.com/quote/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "finviz":
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webbrowser.open(f"https://finviz.com/quote.ashx?t={s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "marketwatch":
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webbrowser.open(
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f"https://www.marketwatch.com/investing/stock/{s_ticker}"
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)
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "fool":
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webbrowser.open(f"https://www.fool.com/quote/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "businessinsider":
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webbrowser.open(
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f"https://markets.businessinsider.com/stocks/{s_ticker}-stock/"
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)
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "fmp":
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webbrowser.open(
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f"https://financialmodelingprep.com/financial-summary/{s_ticker}"
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)
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "fidelity":
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webbrowser.open(
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f"https://eresearch.fidelity.com/eresearch/goto/evaluate/snapshot.jhtml?symbols={s_ticker}"
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)
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "tradingview":
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webbrowser.open(f"https://www.tradingview.com/symbols/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "marketchameleon":
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webbrowser.open(f"https://marketchameleon.com/Overview/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "stockrow":
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webbrowser.open(f"https://stockrow.com/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "barchart":
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webbrowser.open(
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f"https://www.barchart.com/stocks/quotes/{s_ticker}/overview"
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)
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "grufity":
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webbrowser.open(f"https://grufity.com/stock/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "fintel":
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webbrowser.open(f"https://fintel.io/s/us/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "zacks":
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webbrowser.open(f"https://www.zacks.com/stock/quote/{s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "macrotrends":
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webbrowser.open(
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f"https://www.macrotrends.net/stocks/charts/{s_ticker}/{s_ticker}/market-cap"
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)
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "newsfilter":
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webbrowser.open(f"https://newsfilter.io/search?query={s_ticker}")
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print("")
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# ------------------------------------------------------------------------------------------------------------
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elif ns_known_args.cmd == "resources":
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# webbrowser.open(f"https://www.tradinganalysisresources.com/2020/05/free-references-and-resources.html")
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webbrowser.open(
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"https://moongangcapital.com/free-stock-market-resources/"
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)
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print("")
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# ------------------------------------------------------------------------------------------------------------
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else:
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print("Command not recognized!")
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print("")
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except SystemExit:
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print("")
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return False
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@@ -127,7 +127,7 @@ def main():
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b_quit = sm.sen_menu(s_ticker, s_start)
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elif ns_known_args.opt == "res":
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b_quit = rm.res_menu(s_ticker)
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b_quit = rm.res_menu(s_ticker, s_start, s_interval)
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elif ns_known_args.opt == "fa":
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b_quit = fam.fa_menu(s_ticker, s_start, s_interval)
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@@ -163,7 +163,9 @@ def main():
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if s_interval == "1440min":
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b_quit = pm.pred_menu(df_stock, s_ticker, s_start, s_interval)
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# If stock data is intradaily, we need to get data again as prediction
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# techniques work on daily adjusted data
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# techniques work on daily adjusted data. By default we load data from
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# Alpha Vantage because the historical data loaded gives a larger
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# dataset than the one provided by quandl
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else:
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try:
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ts = TimeSeries(
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