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* 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>
102 lines
3.3 KiB
Python
102 lines
3.3 KiB
Python
import numpy as np
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from matplotlib import pyplot as plt
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import bots.config_discordbot as cfg
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from bots.config_discordbot import logger
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from bots.helpers import image_border
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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.government import quiverquant_model
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def qtrcontracts_command(num: int = 20, analysis=""):
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"""Displays a look at government contracts [quiverquant.com]"""
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# Debug user input
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if cfg.DEBUG:
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logger.debug("gov-qtrcontracts %s %s", num, analysis)
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possible_args = ["total", "upmom", "downmom"]
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if analysis == "":
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analysis = "total"
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elif analysis not in possible_args:
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raise Exception(
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"Enter a valid analysis argument, options are: total, upmom and downmom"
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)
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# Retrieve Data
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df_contracts = quiverquant_model.get_government_trading("quarter-contracts")
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if df_contracts.empty:
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raise Exception("No quarterly government contracts found")
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tickers = quiverquant_model.analyze_qtr_contracts(analysis, num)
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# Output Data
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if analysis in {"upmom", "downmom"}:
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description = tickers.to_string()
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fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
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max_amount = 0
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quarter_ticks = []
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for symbol in tickers:
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amounts = (
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df_contracts[df_contracts["Ticker"] == symbol]
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.sort_values(by=["Year", "Qtr"])["Amount"]
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.values
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)
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qtr = (
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df_contracts[df_contracts["Ticker"] == symbol]
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.sort_values(by=["Year", "Qtr"])["Qtr"]
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.values
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)
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year = (
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df_contracts[df_contracts["Ticker"] == symbol]
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.sort_values(by=["Year", "Qtr"])["Year"]
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.values
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)
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ax.plot(np.arange(0, len(amounts)), amounts / 1_000_000, "-*", lw=2, ms=15)
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if len(amounts) > max_amount:
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max_amount = len(amounts)
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quarter_ticks = [
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f"{quarter[0]} - Q{quarter[1]} " for quarter in zip(year, qtr)
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]
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ax.set_xlim([-0.5, max_amount - 0.5])
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ax.set_xticks(np.arange(0, max_amount))
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ax.set_xticklabels(quarter_ticks)
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ax.grid()
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ax.legend(tickers)
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titles = {
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"upmom": "Highest increasing quarterly Government Contracts",
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"downmom": "Highest decreasing quarterly Government Contracts",
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}
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ax.set_title(titles[analysis])
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ax.set_xlabel("Date")
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ax.set_ylabel("Amount ($1M)")
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fig.tight_layout()
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plt.savefig("gov_qtrcontracts.png")
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imagefile = "gov_qtrcontracts.png"
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imagefile = image_border(imagefile)
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output = {
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"title": "Stocks: [quiverquant.com] Government Contracts",
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"imagefile": imagefile,
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"description": description,
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}
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elif analysis == "total":
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tickers.index = [ind + " " * (7 - len(ind)) for ind in tickers.index]
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tickers[:] = [str(round(val[0] / 1e9, 2)) for val in tickers.values]
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tickers.columns = ["Amount [M]"]
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output = {
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"title": "Stocks: [quiverquant.com] Government Contracts",
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"description": tickers.to_string(),
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}
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return output
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