Files
OpenBB/bots/stocks/dark_pool_shorts/dpotc.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

209 lines
5.6 KiB
Python

import plotly.graph_objects as go
import yfinance as yf
from plotly.subplots import make_subplots
import bots.config_discordbot as cfg
from bots.config_discordbot import logger
from bots import helpers
from gamestonk_terminal.stocks.dark_pool_shorts import finra_model
def dpotc_command(ticker: str = ""):
"""Dark pools (ATS) vs OTC data [FINRA]"""
# Debug user input
if cfg.DEBUG:
logger.debug("dps-dpotc %s", ticker)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
ticker = ticker.upper()
stock = yf.download(ticker, progress=False)
if stock.empty:
raise Exception("Stock ticker is invalid")
# Retrieve data
ats, otc = finra_model.getTickerFINRAdata(ticker)
# Debug user output
if cfg.DEBUG:
logger.debug(ats.to_string())
logger.debug(otc.to_string())
# Output data
title = f"Stocks: [FINRA] Dark Pools (ATS) vs OTC {ticker}"
if ats.empty and otc.empty:
raise Exception("Stock ticker is invalid")
fig = make_subplots(
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.4, 0.6],
specs=[[{"secondary_y": True}], [{"secondary_y": False}]],
)
if not ats.empty and not otc.empty:
fig.add_trace(
go.Bar(
x=ats.index,
y=(ats["totalWeeklyShareQuantity"] + otc["totalWeeklyShareQuantity"]),
name="ATS",
opacity=0.8,
),
row=1,
col=1,
secondary_y=False,
)
fig.add_trace(
go.Bar(
x=otc.index,
y=otc["totalWeeklyShareQuantity"],
name="OTC",
opacity=0.8,
yaxis="y2",
offset=0.0001,
),
row=1,
col=1,
)
elif not ats.empty:
fig.add_trace(
go.Bar(
x=ats.index,
y=(ats["totalWeeklyShareQuantity"] + otc["totalWeeklyShareQuantity"]),
name="ATS",
opacity=0.8,
),
row=1,
col=1,
secondary_y=False,
)
elif not otc.empty:
fig.add_trace(
go.Bar(
x=otc.index,
y=otc["totalWeeklyShareQuantity"],
name="OTC",
opacity=0.8,
yaxis="y2",
secondary_y=False,
),
row=1,
col=1,
)
if not ats.empty:
fig.add_trace(
go.Scatter(
name="ATS",
x=ats.index,
y=ats["totalWeeklyShareQuantity"] / ats["totalWeeklyTradeCount"],
line=dict(color="#fdc708", width=2),
opacity=1,
showlegend=False,
yaxis="y2",
),
row=2,
col=1,
)
if not otc.empty:
fig.add_trace(
go.Scatter(
name="OTC",
x=otc.index,
y=otc["totalWeeklyShareQuantity"] / otc["totalWeeklyTradeCount"],
line=dict(color="#d81aea", width=2),
opacity=1,
showlegend=False,
),
row=2,
col=1,
)
else:
fig.add_trace(
go.Scatter(
name="OTC",
x=otc.index,
y=otc["totalWeeklyShareQuantity"] / otc["totalWeeklyTradeCount"],
line=dict(color="#d81aea", width=2),
opacity=1,
showlegend=False,
),
row=2,
col=1,
)
fig.update_xaxes(showspikes=True, spikesnap="cursor", spikemode="across")
fig.update_yaxes(showspikes=True, spikethickness=2)
fig.update_layout(
margin=dict(l=20, r=0, t=10, b=20),
template=cfg.PLT_CANDLE_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=f"Dark Pools (ATS) vs OTC (Non-ATS) Data for {ticker}",
title_x=0.5,
yaxis3_title="Shares per Trade",
yaxis_title="Total Weekly Shares",
xaxis2_title="Weeks",
yaxis=dict(
fixedrange=False,
side="left",
nticks=20,
),
yaxis2=dict(
fixedrange=False,
showgrid=False,
overlaying="y",
anchor="x",
layer="above traces",
),
yaxis3=dict(
fixedrange=False,
nticks=10,
),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
showspikes=True,
nticks=20,
),
legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
barmode="group",
bargap=0.5,
bargroupgap=0,
dragmode="pan",
hovermode="x unified",
spikedistance=1000,
hoverdistance=100,
)
config = dict({"scrollZoom": True})
imagefile = "dps_dpotc.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = helpers.uuid_get()
fig.write_html(f"in/dpotc_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/dpotc_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
imagefile = helpers.image_border(imagefile, fig=fig)
return {
"title": title,
"description": plt_link,
"imagefile": imagefile,
}