Files
OpenBB/bots/stocks/dark_pool_shorts/pos.py
Colin Delahunty fae93c67ad Refactor Bot (#1326)
* 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>
2022-02-20 10:36:59 -05:00

114 lines
3.3 KiB
Python

import disnake
import bots.config_discordbot as cfg
from bots.config_discordbot import logger
from bots.menus.menu import Menu
from gamestonk_terminal.stocks.dark_pool_shorts import stockgrid_model
def pos_command(sort="dpp_dollar", num: int = 10):
"""Dark pool short position [Stockgrid]"""
# Debug user input
if cfg.DEBUG:
logger.debug("dps-pos %s %s", sort, num)
# Check for argument
possible_sorts = ("sv", "sv_pct", "nsv", "nsv_dollar", "dpp", "dpp_dollar")
if sort not in possible_sorts:
raise Exception(f"The possible sorts are: {', '.join(possible_sorts)}")
if num < 0:
raise Exception("Number has to be above 0")
# Retrieve data
df = stockgrid_model.get_dark_pool_short_positions(sort, False)
df = df.iloc[:num]
# Debug user output
if cfg.DEBUG:
logger.debug(df.to_string())
# Output data
title = "Stocks: [Stockgrid] Dark Pool Short Position"
dp_date = df["Date"].values[0]
df = df.drop(columns=["Date"])
df["Net Short Volume $"] = df["Net Short Volume $"] / 100_000_000
df["Short Volume"] = df["Short Volume"] / 1_000_000
df["Net Short Volume"] = df["Net Short Volume"] / 1_000_000
df["Short Volume %"] = df["Short Volume %"] * 100
df["Dark Pools Position $"] = df["Dark Pools Position $"] / (1_000_000_000)
df["Dark Pools Position"] = df["Dark Pools Position"] / 1_000_000
df.columns = [
"Ticker",
"Short Vol. (1M)",
"Short Vol. %",
"Net Short Vol. (1M)",
"Net Short Vol. ($100M)",
"DP Position (1M)",
"DP Position ($1B)",
]
future_column_name = df["Ticker"]
df = df.transpose()
df.columns = future_column_name
df.drop("Ticker")
embeds = []
choices = [
disnake.SelectOption(label="Overview", value="0", emoji="🟢"),
]
initial_str = "Overview"
i = 1
for col_name in df.columns.values:
menu = f"\nPage {i}: {col_name}"
initial_str += f"\nPage {i}: {col_name}"
if i < 19:
choices.append(
disnake.SelectOption(label=menu, value=f"{i}", emoji="🟢"),
)
if i == 20:
choices.append(
disnake.SelectOption(label="Max Reached", value=f"{i}", emoji="🟢"),
)
i += 1
reports = [f"{initial_str}"]
embeds.append(
disnake.Embed(
title=title,
description=initial_str,
colour=cfg.COLOR,
).set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
)
for column in df.columns.values:
description = (
"```The following data corresponds to the date: "
+ dp_date
+ "\n\n"
+ df[column].fillna("").to_string()
+ "```",
)
embeds.append(
disnake.Embed(
title=title,
description=description,
colour=cfg.COLOR,
).set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
)
reports.append(f"{description}")
return {
"view": Menu,
"title": title,
"description": reports,
"embed": embeds,
"choices": choices,
}