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https://github.com/OpenBB-finance/OpenBB.git
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fae93c67ad
* First commit * Renamed to bot * change from discordbot to bots imports * refractor cmds + autocomplete helpers + updated dps plots/candle + quote cmd * isort fix * Update helpers.py * Added first refactor * Added commands and refactor * Added description handler * Through grains * ta + image border helper * Added indices * merged * Finished econ * options refactor * dark_pool_shorts, candle, quote done * pagination/dropdown logic to helpers + fixes * dd/disc/insider done + add image logic to helpers * linting * removed plt style * Almost done with Gov * fixing conflicts * Finished gov (excpect ones mentioned) * screener done * Test bug refactor * Store changes to switch * Finished refactor * Fixed error * Delete ::40 * Fixed issue * Fixed black * finished * fixes Co-authored-by: teh_coderer <me@tehcoderer.com> Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
from datetime import datetime, timedelta
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from matplotlib import pyplot as plt
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import bots.config_discordbot as cfg
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import bots.helpers
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from bots.config_discordbot import logger
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from gamestonk_terminal.config_plot import PLOT_DPI
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from gamestonk_terminal.helper_funcs import plot_autoscale
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from gamestonk_terminal.stocks.due_diligence import business_insider_model
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def pt_command(ticker: str = "", raw: bool = False, start=""):
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"""Displays price targets [Business Insider]"""
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# Debug
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if cfg.DEBUG:
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logger.debug("dd-pt %s", ticker)
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# Check for argument
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if ticker == "":
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raise Exception("Stock ticker is required")
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if start == "":
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start = datetime.now() - timedelta(days=365)
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else:
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start = datetime.strptime(start, cfg.DATE_FORMAT)
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if raw not in [True, False]:
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raise Exception("raw argument has to be true or false")
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df_analyst_data = business_insider_model.get_price_target_from_analysts(ticker)
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stock = bots.helpers.load(ticker, start)
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title = f"Stocks: [Business Insider] Price Targets {ticker}"
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if df_analyst_data.empty or stock.empty:
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raise Exception("Enter valid ticker")
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# Output Data
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if raw:
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df_analyst_data.sort_index(ascending=False)
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report = "```" + df_analyst_data.to_string() + "```"
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output = {
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"title": title,
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"description": report,
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}
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else:
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plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
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if start:
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df_analyst_data = df_analyst_data[start:]
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plt.plot(stock.index, stock["Adj Close"].values, lw=3)
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plt.plot(df_analyst_data.groupby(by=["Date"]).mean())
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plt.scatter(df_analyst_data.index, df_analyst_data["Price Target"], c="r", s=40)
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plt.legend(["Closing Price", "Average Price Target", "Price Target"])
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plt.title(f"{ticker.upper} (Time Series) and Price Target")
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plt.xlim(stock.index[0], stock.index[-1])
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plt.xlabel("Time")
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plt.ylabel("Share Price")
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plt.grid(b=True, which="major", color="#666666", linestyle="-")
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plt.savefig("ta_pt.png")
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imagefile = bots.helpers.image_border("ta_pt.png")
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output = {
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"title": title,
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"imagefile": imagefile,
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}
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return output
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