async def qtrcontracts_command(ctx, num: int = 20, analysis=""):
"""Displays a look at government contracts [quiverquant.com]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!stocks.gov.qtrcontracts %s %s", num, analysis)
possible_args = ["total", "upmom", "downmom"]
if analysis == "":
analysis = "total"
elif analysis not in possible_args:
raise Exception(
"Enter a valid analysis argument, options are: total, upmom and downmom"
)
# Retrieve Data
df_contracts = quiverquant_model.get_government_trading(
"quarter-contracts")
if df_contracts.empty:
raise Exception("No quarterly government contracts found")
tickers = quiverquant_model.analyze_qtr_contracts(analysis, num)
plt.style.use("seaborn")
# Output Data
if analysis in {"upmom", "downmom"}:
description = tickers.to_string()
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
max_amount = 0
quarter_ticks = []
for symbol in tickers:
amounts = (
df_contracts[df_contracts["Ticker"] == symbol].sort_values(
by=["Year", "Qtr"])["Amount"].values)
qtr = (
df_contracts[df_contracts["Ticker"] == symbol].sort_values(
by=["Year", "Qtr"])["Qtr"].values)
year = (
df_contracts[df_contracts["Ticker"] == symbol].sort_values(
by=["Year", "Qtr"])["Year"].values)
ax.plot(np.arange(0, len(amounts)),
amounts / 1_000_000,
"-*",
lw=2,
ms=15)
if len(amounts) > max_amount:
max_amount = len(amounts)
quarter_ticks = [
f"{quarter[0]} - Q{quarter[1]} "
for quarter in zip(year, qtr)
]
ax.set_xlim([-0.5, max_amount - 0.5])
ax.set_xticks(np.arange(0, max_amount))
ax.set_xticklabels(quarter_ticks)
ax.grid()
ax.legend(tickers)
titles = {
"upmom": "Highest increasing quarterly Government Contracts",
"downmom": "Highest decreasing quarterly Government Contracts",
}
ax.set_title(titles[analysis])
ax.set_xlabel("Date")
ax.set_ylabel("Amount ($1M)")
fig.tight_layout()
plt.savefig("gov_qtrcontracts.png")
imagefile = "gov_qtrcontracts.png"
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image("gov_qtrcontracts.png",
title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = "Stocks: [quiverquant.com] Government contracts"
embed = disnake.Embed(title=title,
description=description,
colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
embed.set_image(url=image_link)
os.remove("gov_qtrcontracts.png")
await ctx.send(embed=embed)
elif analysis == "total":
tickers.index = [
ind + " " * (7 - len(ind)) for ind in tickers.index
]
tickers[:] = [
str(round(val[0] / 1e9, 2)) for val in tickers.values
]
tickers.columns = ["Amount [M]"]
embed = disnake.Embed(
title="Stocks: [quiverquant.com] Government contracts",
description=tickers.to_string(),
colour=cfg.COLOR,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: [quiverquant.com] Government contracts",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def softs_command(ctx):
"""Displays softs futures data [Finviz]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("econ-softs")
# Retrieve data
d_futures = finviz_model.get_futures()
df = pd.DataFrame(d_futures["Softs"])
# Check for argument
if df.empty:
raise Exception("No available data found")
formats = {"last": "${:.2f}", "prevClose": "${:.2f}"}
for col, value in formats.items():
df[col] = df[col].map(lambda x: value.format(x)) # pylint: disable=W0640
# Debug user output
if cfg.DEBUG:
logger.debug(df)
df = df.sort_values(by="ticker", ascending=False)
df = df.fillna("")
df.set_index("label", inplace=True)
df = df[[
"prevClose",
"last",
"change",
]]
df.index.names = [""]
df = df.rename(columns={
"prevClose": "PrevClose",
"last": "Last",
"change": "Change"
})
dindex = len(df.index)
fig = df2img.plot_dataframe(
df,
fig_size=(800, (40 + (40 * dindex))),
col_width=[6, 3, 3],
tbl_cells=dict(
align="left",
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "econ-softs.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = "Economy: [Finviz] Softs Futures"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Economy: [Finviz] Softs Futures",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def hma_command(ctx, ticker="", window="", offset="", start="", end=""):
"""Displays chart with hull moving average [Yahoo Finance]"""
try:
# Debug
if cfg.DEBUG:
logger.debug(
"!stocks.ta.hma %s %s %s %s %s",
ticker,
window,
offset,
start,
end,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
if end == "":
end = datetime.now()
else:
end = datetime.strptime(end, cfg.DATE_FORMAT)
l_legend = [ticker]
if window == "":
window = [20, 50]
else:
window_temp = list()
for wind in window.split(","):
try:
window_temp.append(float(wind))
except Exception as e:
raise Exception("Window needs to be a float") from e
window = window_temp
ticker = ticker.upper()
stock = discordbot.helpers.load(ticker, start)
if stock.empty:
raise Exception("Stock ticker is invalid")
# Retrieve Data
price_df = pd.DataFrame(stock["Adj Close"].values,
columns=["Price"],
index=stock.index)
i = 1
for win in window:
hma_data = overlap_model.hma(values=stock["Adj Close"],
length=win,
offset=offset)
price_df = price_df.join(hma_data)
l_legend.append(f"HMA {win}")
i += 1
# Output Data
start = start.strftime("%Y-%m-%d")
end = end.strftime("%Y-%m-%d")
price_df = price_df.loc[(price_df.index >= start)
& (price_df.index < end)]
fig = go.Figure()
fig.add_trace(
go.Scatter(
name=f"{ticker}",
x=price_df.index,
y=price_df["Price"],
line=dict(color="#fdc708", width=2),
opacity=1,
), )
for i in range(1, price_df.shape[1]):
trace_name = price_df.columns[i].replace("_", " ")
fig.add_trace(
go.Scatter(
name=trace_name,
x=price_df.index,
y=price_df.iloc[:, i],
opacity=1,
), )
fig.update_layout(
margin=dict(l=0, r=0, t=50, b=20),
template=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=f"{ticker} HMA",
title_x=0.5,
yaxis_title="Stock Price ($)",
xaxis_title="Time",
yaxis=dict(fixedrange=False, ),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
),
dragmode="pan",
legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01),
)
config = dict({"scrollZoom": True})
imagefile = "ta_hma.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/hma_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/hma_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
if cfg.DEBUG:
logger.debug("Image: %s", imagefile)
title = "Stocks: Hull-Moving-Average " + ticker
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: Hull-Moving-Average",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def arktrades_command(ctx, ticker: str = "", num: int = 10):
"""Displays trades made by ark [cathiesark.com]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!stocks.dd.arktrades %s", ticker)
if ticker:
ark_holdings = ark_model.get_ark_trades_by_ticker(ticker)
ark_holdings = ark_holdings.drop(
columns=["ticker", "everything.profile.companyName"])
if ark_holdings.empty:
raise Exception(
"Issue getting data from cathiesark.com. Likely no trades found.\n"
)
ark_holdings["Total"] = ark_holdings["Total"] / 1_000_000
ark_holdings.rename(columns={
"direction": "B/S",
"weight": "F %"
},
inplace=True)
ark_holdings.index = pd.Series(
ark_holdings.index).apply(lambda x: x.strftime("%Y-%m-%d"))
df = ark_holdings.head(num)
dindex = len(df.head(num).index)
formats = {"Close": "{:.2f}", "Total": "{:.2f}"}
for col, f in formats.items():
df[col] = df[col].map(lambda x: f.format(x)) # pylint: disable=W0640
title = f"Stocks: [cathiesark.com] {ticker.upper()} Trades by Ark"
embeds: list = []
i, i2, end = 0, 0, 20
df_pg = []
embeds_img = []
dindex = len(df.index)
while i < dindex:
df_pg = df.iloc[i:end]
df_pg.append(df_pg)
fig = df2img.plot_dataframe(
df_pg,
fig_size=(900, (40 + (40 * 20))),
col_width=[5, 10, 4, 4, 3, 4, 5],
tbl_cells=dict(height=35, ),
font=dict(
family="Consolas",
size=20,
),
template="plotly_dark",
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = f"disc-insider{i}.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image(imagefile,
title="something")
image_link = uploaded_image.link
embeds_img.append(f"{image_link}", )
embeds.append(disnake.Embed(
title=title,
colour=cfg.COLOR,
), )
i2 += 1
i += 20
end += 20
os.remove(imagefile)
# Author/Footer
for i in range(0, i2):
embeds[i].set_author(
name=cfg.AUTHOR_NAME,
url=cfg.AUTHOR_URL,
icon_url=cfg.AUTHOR_ICON_URL,
)
embeds[i].set_footer(
text=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
i = 0
for i in range(0, i2):
embeds[i].set_image(url=embeds_img[i])
i += 1
embeds[0].set_footer(text=f"Page 1 of {len(embeds)}")
options = [
disnake.SelectOption(label="Home", value="0", emoji="🟢"),
]
await ctx.send(embed=embeds[0], view=Menu(embeds, options))
except Exception as e:
embed = disnake.Embed(
title=f"ERROR Stocks: [cathiesark.com] {ticker} Trades by Ark",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def unu_command(ctx, num: int = None):
"""Unusual Options"""
try:
# Debug
if cfg.DEBUG:
logger.debug("!stocks.opt.unu %s", num)
# Check for argument
if num is None:
num = 10
pages = np.arange(0, num // 20 + 1)
data_list = []
for page_num in pages:
r = requests.get(
f"https://app.fdscanner.com/api2/unusualvolume?p=0&page_size=20&page={int(page_num)}",
headers={"User-Agent": get_user_agent()},
)
if r.status_code != 200:
logger.debug("Error in fdscanner request")
return pd.DataFrame(), "request error"
data_list.append(r.json())
ticker, expiry, option_strike, option_type, ask, bid, oi, vol, voi = (
[],
[],
[],
[],
[],
[],
[],
[],
[],
)
for data in data_list:
for entry in data["data"]:
ticker.append(entry["tk"])
expiry.append(entry["expiry"])
option_strike.append(float(entry["s"]))
option_type.append("Put" if entry["t"] == "P" else "Call")
ask.append(entry["a"])
bid.append(entry["b"])
oi.append(entry["oi"])
vol.append(entry["v"])
voi.append(entry["vol/oi"])
df = pd.DataFrame({
"Ticker": ticker,
"Exp": expiry,
"Strike": option_strike,
"Type": option_type,
"Vol/OI": voi,
"Vol": vol,
"OI": oi,
})
df = df.replace({"2021-", "2022-"}, "", regex=True)
df.set_index("Ticker", inplace=True)
dindex = len(df.index)
fig = df2img.plot_dataframe(
df,
fig_size=(800, (40 + (40 * dindex))),
col_width=[3, 3, 3, 3, 3, 3, 3],
tbl_cells=dict(
align="left",
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "opt-unu.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = "Unusual Options"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Unusual Options",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def analyst_command(ctx, ticker=""):
"""Displays analyst recommendations [Finviz]"""
try:
# Debug
if cfg.DEBUG:
logger.debug("!stocks.dd.analyst %s", ticker)
# Check for argument
if not ticker:
raise Exception("Stock ticker is required")
df = finviz_model.get_analyst_data(ticker)
df = df.replace(np.nan, 0)
df.index.names = ["Date"]
df = df.rename(
columns={
"category": "Category",
"analyst": "Analyst",
"rating": "Rating",
"target": "Target",
"target_from": "Target From",
"target_to": "Target To",
})
dindex = len(df.index)
fig = df2img.plot_dataframe(
df,
fig_size=(1500, (40 + (40 * dindex))),
col_width=[5, 5, 8, 14, 5, 5, 5],
tbl_cells=dict(height=35, ),
font=dict(
family="Consolas",
size=20,
),
template="plotly_dark",
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "dd-analyst.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = f"Stocks: [Finviz] Analyst Recommendations {ticker.upper()}"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: [Finviz] Analyst Recommendations",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def adosc_command(ctx,
ticker="",
is_open="False",
fast="3",
slow="10",
start="",
end=""):
"""Displays chart with chaikin oscillator [Yahoo Finance]"""
try:
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"!stocks.ta.adosc %s %s %s %s %s",
ticker,
is_open,
fast,
slow,
start,
end,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
if end == "":
end = datetime.now()
else:
end = datetime.strptime(end, cfg.DATE_FORMAT)
if not fast.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
fast = float(fast)
if not slow.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
slow = float(slow)
ticker = ticker.upper()
df_stock = discordbot.helpers.load(ticker, start)
if df_stock.empty:
raise Exception("Stock ticker is invalid")
# Retrieve Data
df_stock = df_stock.loc[(df_stock.index >= start)
& (df_stock.index < end)]
# Output Data
divisor = 1_000_000
df_vol = df_stock["Volume"].dropna()
df_vol = df_vol.values / divisor
df_ta = volume_model.adosc(df_stock, is_open, fast, slow)
df_cal = df_ta.values
df_cal = df_cal / divisor
fig = make_subplots(
rows=3,
cols=1,
shared_xaxes=True,
vertical_spacing=0.06,
row_width=[0.2, 0.2, 0.2],
)
fig.add_trace(
go.Scatter(
name=ticker,
x=df_stock.index,
y=df_stock["Adj Close"].values,
line=dict(color="#fdc708", width=2),
opacity=1,
),
row=1,
col=1,
)
colors = [
"green" if row.Open < row["Adj Close"] else "red"
for _, row in df_stock.iterrows()
]
fig.add_trace(
go.Bar(
x=df_stock.index,
y=df_vol,
name="Volume",
marker_color=colors,
),
row=2,
col=1,
)
fig.add_trace(
go.Scatter(
name="AD Osc [M]",
x=df_ta.index,
y=df_ta.iloc[:, 0].values,
line=dict(width=2),
opacity=1,
),
row=3,
col=1,
)
fig.update_layout(
margin=dict(l=10, r=0, t=30, b=20),
template=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=f"{ticker} AD Oscillator",
title_x=0.3,
yaxis_title="Stock Price ($)",
yaxis=dict(fixedrange=False, ),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
),
dragmode="pan",
legend=dict(orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1),
)
config = dict({"scrollZoom": True})
imagefile = "ta_adosc.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/adosc_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/adosc_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
if cfg.DEBUG:
logger.debug("Image: %s", imagefile)
title = "Stocks: Accumulation/Distribution Oscillator " + ticker
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: Accumulation/Distribution Oscillator",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def hist_command(
ctx,
ticker: str = None,
expiry: str = "",
strike: float = 10,
opt_type: str = "",
greek: str = "",
):
"""Plot historical option prices
Parameters
----------
ticker: str
Stock ticker
expiry: str
expiration date
strike: float
Option strike price
put: bool
Calls for call
Puts for put
"""
try:
# Debug
if cfg.DEBUG:
print(f"opt-hist {ticker} {strike} {opt_type} {expiry} {greek}")
# Check for argument
if ticker is None:
raise Exception("Stock ticker is required")
if opt_type == "Puts":
put = bool(True)
if opt_type == "Calls":
put = bool(False)
chain_id = ""
df_hist = syncretism_model.get_historical_greeks(
ticker, expiry, chain_id, strike, put)
title = f"\n{ticker.upper()} {strike} {opt_type} expiring {expiry} Historical {greek.upper()}"
# Output data
fig = make_subplots(shared_xaxes=True, specs=[[{"secondary_y": True}]])
fig.add_trace(
go.Scatter(
name=ticker.upper(),
x=df_hist.index,
y=df_hist.price,
line=dict(color="#fdc708", width=2),
opacity=1,
), )
fig.add_trace(
go.Scatter(
name="Premium",
x=df_hist.index,
y=df_hist["premium"],
opacity=1,
yaxis="y2",
), )
if greek:
fig.add_trace(
go.Scatter(
name=f"{greek.upper()}",
x=df_hist.index,
y=df_hist[greek],
opacity=1,
yaxis="y3",
), )
fig.update_layout(
margin=dict(l=10, r=10, t=30, b=20),
template=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=title,
title_x=0.03,
yaxis_title="<b>Stock Price</b> ($)",
yaxis=dict(
side="right",
fixedrange=False,
titlefont=dict(color="#fdc708"),
tickfont=dict(color="#fdc708"),
position=0.02,
nticks=20,
),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
fixedrange=False,
domain=[0.037, 1],
),
xaxis2=dict(
rangeslider=dict(visible=False),
type="date",
fixedrange=False,
),
xaxis3=dict(
rangeslider=dict(visible=False),
type="date",
fixedrange=False,
),
dragmode="pan",
legend=dict(orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1),
yaxis2=dict(
side="left",
fixedrange=False,
anchor="x",
overlaying="y",
titlefont=dict(color="#d81aea"),
tickfont=dict(color="#d81aea"),
nticks=20,
),
yaxis3=dict(
side="left",
position=0,
fixedrange=False,
overlaying="y",
titlefont=dict(color="#00e6c3"),
tickfont=dict(color="#00e6c3"),
nticks=20,
),
hovermode="x unified",
)
config = dict({"scrollZoom": True})
rand = random.randint(69, 69420)
imagefile = f"opt_hist{rand}.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
fig.write_html(f"in/hist_{rand}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/hist_{rand}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
if cfg.DEBUG:
print(f"Image: {imagefile}")
title = f"{ticker.upper()} {strike} {opt_type} expiring {expiry} Historical"
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Options: History",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def iv_command(ctx, ticker: str = None):
"""Options IV"""
try:
# Debug
if cfg.DEBUG:
logger.debug("!stocks.opt.iv %s", ticker)
# Check for argument
if ticker is None:
raise Exception("Stock ticker is required")
df = barchart_model.get_options_info(ticker)
df = df.fillna("")
df = df.set_axis(
[
" ",
"",
],
axis="columns",
)
df.set_index(" ", inplace=True)
fig = df2img.plot_dataframe(
df,
fig_size=(600, 1500),
col_width=[3, 3],
tbl_cells=dict(
align="left",
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "opt-iv.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = f"{ticker.upper()} Options: IV"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Options: IV",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def candle_command(
ctx,
ticker: str = "",
interval: int = 15,
past_days: int = 1,
start="",
end="",
):
"""Shows candle plot of loaded ticker. [Source: Yahoo Finance, IEX Cloud or Alpha Vantage]
Parameters
----------
ticker: str
Ticker name
interval: int
chart mins or daily
past_days: int
Display the past * days. Default: 1(Not for Daily)
start: str
start date format YYYY-MM-DD
end: str
end date format YYYY-MM-DD
"""
try:
logger.info("candle %s %s %s %s", ticker, interval, start, end)
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
if end == "":
end = datetime.now()
else:
end = datetime.strptime(end, cfg.DATE_FORMAT)
futures = "=F"
if interval == 1440:
df_stock_candidate = yf.download(
ticker,
start=start,
end=end,
progress=False,
)
# Check that loading a stock was not successful
if df_stock_candidate.empty:
raise Exception(f"No data found for {ticker.upper()}")
df_stock_candidate.index.name = "date"
else:
s_int = str(interval) + "m"
d_granularity = {
"1m": past_days,
"5m": past_days,
"15m": past_days,
"30m": past_days,
"60m": past_days,
}
s_start_dt = datetime.utcnow() - timedelta(
days=d_granularity[s_int])
s_date_start = s_start_dt.strftime("%Y-%m-%d")
df_stock_candidate = yf.download(
ticker,
start=s_date_start
if s_start_dt > start else start.strftime("%Y-%m-%d"),
progress=False,
interval=s_int,
prepost=True,
)
# Check that loading a stock was not successful
if df_stock_candidate.empty:
raise Exception(f"No data found for {ticker.upper()}.")
df_stock_candidate.index = df_stock_candidate.index.tz_localize(None)
df_stock_candidate.index.name = "date"
df_stock = df_stock_candidate
price_df = df_stock.loc[(df_stock.index >= start)
& (df_stock.index < end)]
df_vwap = overlap_model.vwap(price_df, 0)
plt_title = [f"{ticker.upper()} Intraday {interval}min", "Volume"]
title = f"Intraday {interval}min Chart for {ticker.upper()}"
if interval == 1440:
plt_title = [f"{ticker.upper()} Daily", "Volume"]
title = f"Daily Chart for {ticker.upper()}"
fig = make_subplots(
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.06,
subplot_titles=plt_title,
row_width=[0.2, 0.7],
)
fig.add_trace(
go.Candlestick(
x=df_stock.index,
open=df_stock.Open,
high=df_stock.High,
low=df_stock.Low,
close=df_stock.Close,
name="OHLC",
showlegend=False,
),
row=1,
col=1,
)
colors = [
"green" if row.Open < row["Adj Close"] else "red"
for _, row in df_stock.iterrows()
]
fig.add_trace(
go.Bar(
x=df_stock.index,
y=df_stock.Volume,
name="Volume",
marker_color=colors,
showlegend=False,
),
row=2,
col=1,
)
fig.update_layout(
margin=dict(l=0, r=0, t=25, b=20),
template=cfg.PLT_CANDLE_STYLE_TEMPLATE,
yaxis_title="Stock Price ($)",
yaxis=dict(
fixedrange=False,
showspikes=True,
),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
showspikes=True,
),
legend=dict(orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1),
dragmode="pan",
hovermode="x unified",
)
if interval != 1440:
fig.add_trace(
go.Scatter(
name="VWAP",
x=df_stock.index,
y=df_vwap["VWAP_D"],
opacity=1,
line=dict(color="#d81aea", width=2),
showlegend=True,
), )
if futures in ticker.upper():
fig.update_xaxes(rangebreaks=[
dict(bounds=["fri", "sun"]),
dict(bounds=[17, 17.5], pattern="hour"),
], )
else:
fig.update_xaxes(rangebreaks=[
dict(bounds=["sat", "mon"]),
dict(bounds=[19, 9.5], pattern="hour"),
], )
config = dict({"scrollZoom": True})
rand = random.randint(69, 69420)
imagefile = f"candle{rand}.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
fig.write_html(f"in/candle_{rand}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/candle_{rand}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: Intraday",
colour=cfg.COLOR,
description=e,
)
await ctx.send(embed=embed, delete_after=30.0)
async def cc_hist_command(
ctx, ticker: str = None, expiry: str = "", strike: float = 10, opt_type: str = ""
):
"""Plot historical option prices
Parameters
----------
ticker: str
Stock ticker
expiry: str
expiration date
strike: float
Option strike price
put: bool
Calls for call
Puts for put
"""
try:
# Debug
if cfg.DEBUG:
print(f"opt-hist {ticker} {strike} {opt_type} {expiry}")
# Check for argument
if ticker is None:
raise Exception("Stock ticker is required")
yf_ticker = yf.Ticker(ticker)
dates = list(yf_ticker.options)
if not dates:
raise Exception("Stock ticker is invalid")
options = yf.Ticker(ticker).option_chain(expiry)
if opt_type == "Calls":
options = options.calls
if opt_type == "Puts":
options = options.puts
chain_id = options.loc[options.strike == strike, "contractSymbol"].values[0]
df_hist = yf.download(chain_id)
df_hist.index.name = "date"
plt_title = [
f"\n{ticker.upper()} {strike} {opt_type} expiring {expiry} Historical",
"Volume",
]
title = f"\n{ticker.upper()} {strike} {opt_type} expiring {expiry} Historical"
fig = make_subplots(
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.06,
subplot_titles=plt_title,
row_width=[0.2, 0.7],
)
fig.add_trace(
go.Candlestick(
x=df_hist.index,
open=df_hist.Open,
high=df_hist.High,
low=df_hist.Low,
close=df_hist.Close,
name="OHLC",
),
row=1,
col=1,
)
colors = [
"green" if row.Open < row["Close"] else "red"
for _, row in df_hist.iterrows() # pylint: disable=E1120
]
fig.add_trace(
go.Bar(
x=df_hist.index,
y=df_hist.Volume,
name="Volume",
marker_color=colors,
),
row=2,
col=1,
)
fig.update_layout(
margin=dict(l=0, r=0, t=25, b=5),
template=cfg.PLT_CANDLE_STYLE_TEMPLATE,
showlegend=False,
yaxis_title="Premium",
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
),
dragmode="pan",
)
fig.update_xaxes(
rangebreaks=[
dict(bounds=["sat", "mon"]),
],
)
config = dict({"scrollZoom": True})
rand = random.randint(69, 69420)
imagefile = f"opt_hist{rand}.png"
fig.write_image(imagefile)
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
fig.write_html(f"in/cc_hist_{rand}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/cc_hist_{rand}.html)"
img = Image.open(imagefile)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
if cfg.DEBUG:
print(f"Image: {imagefile}")
title = f"{ticker.upper()} {strike} {opt_type} expiring {expiry} Historical"
embed = disnake.Embed(title=title, description=plt_link, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Options: History",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def ftd_command(ctx, ticker: str = "", start="", end=""):
"""Fails-to-deliver data [SEC]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!stocks.dps.ftd %s %s %s", ticker, start, end)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
ticker = ticker.upper()
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
if end == "":
end = datetime.now()
else:
end = datetime.strptime(end, cfg.DATE_FORMAT)
# Retrieve data
ftds_data = sec_model.get_fails_to_deliver(ticker, start, end, 0)
# Debug user output
if cfg.DEBUG:
logger.debug(ftds_data.to_string())
stock = discordbot.helpers.load(ticker, start)
stock_ftd = stock[stock.index > start]
stock_ftd = stock_ftd[stock_ftd.index < end]
# Output data
fig = make_subplots(shared_xaxes=True, specs=[[{"secondary_y": True}]])
fig.add_trace(
go.Scatter(
name=ticker,
x=stock_ftd.index,
y=stock_ftd["Adj Close"],
line=dict(color="#fdc708", width=2),
opacity=1,
showlegend=False,
),
secondary_y=False,
)
fig.add_trace(
go.Bar(
name="FTDs",
x=ftds_data["SETTLEMENT DATE"],
y=ftds_data["QUANTITY (FAILS)"] / 1000,
opacity=1,
),
secondary_y=True,
)
# Set y-axes titles
fig.update_yaxes(title_text="<b>Shares</b> [K]", secondary_y=True)
fig.update_layout(
margin=dict(l=0, r=20, t=30, b=20),
template=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=f"{ticker}",
title_x=0.5,
yaxis_title="<b>Stock Price</b> ($)",
yaxis=dict(
side="right",
fixedrange=False,
),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
fixedrange=False,
),
xaxis2=dict(
rangeslider=dict(visible=False),
type="date",
fixedrange=False,
),
dragmode="pan",
legend=dict(orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1),
yaxis2=dict(
side="left",
position=0.15,
fixedrange=False,
),
hovermode="x unified",
)
config = dict({"scrollZoom": True})
imagefile = "dps_ftd.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/ftds_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/ftds_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
if cfg.DEBUG:
logger.debug("Image: %s", imagefile)
title = "Stocks: [SEC] Failure-to-deliver " + ticker
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: [SEC] Failure-to-deliver",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def psi_command(ctx, ticker: str = ""):
"""Price vs short interest volume [Stockgrid]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!stocks.dps.psi %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
df, prices = stockgrid_model.get_short_interest_volume(ticker)
# Debug user output
if cfg.DEBUG:
logger.debug(df.to_string())
# Output data
title = f"Stocks: [Stockgrid] Price vs Short Interest Volume {ticker}"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
plt.style.use("seaborn")
_, axes = plt.subplots(
2,
1,
figsize=plot_autoscale(),
dpi=PLOT_DPI,
gridspec_kw={"height_ratios": [2, 1]},
)
axes[0].bar(
df["date"],
df["total_volume"] / 1_000_000,
width=timedelta(days=1),
color="b",
alpha=0.4,
label="Total Volume",
)
axes[0].bar(
df["date"],
df["short_volume"] / 1_000_000,
width=timedelta(days=1),
color="r",
alpha=0.4,
label="Short Volume",
)
axes[0].set_ylabel("Volume (1M)")
ax2 = axes[0].twinx()
ax2.plot(
df["date"].values,
prices[len(prices) - len(df):], # noqa: E203
c="k",
label="Price",
)
ax2.set_ylabel("Price ($)")
lines, labels = axes[0].get_legend_handles_labels()
lines2, labels2 = ax2.get_legend_handles_labels()
ax2.legend(lines + lines2, labels + labels2, loc="upper left")
axes[0].grid()
axes[0].ticklabel_format(style="plain", axis="y")
plt.title(f"Price vs Short Volume Interest for {ticker}")
plt.gcf().autofmt_xdate()
axes[1].plot(
df["date"].values,
100 * df["short_volume%"],
c="green",
label="Short Vol. %",
)
axes[1].set_ylabel("Short Vol. %")
axes[1].grid(axis="y")
lines, labels = axes[1].get_legend_handles_labels()
axes[1].legend(lines, labels, loc="upper left")
axes[1].set_ylim([0, 100])
file_name = ticker + "_psi.png"
plt.savefig(file_name)
imagefile = file_name
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
plt.close("all")
uploaded_image = gst_imgur.upload_image(file_name, title="something")
image_link = uploaded_image.link
embed.set_image(url=image_link)
os.remove(file_name)
await ctx.send(embed=embed)
except Exception as e:
embed = disnake.Embed(
title=
f"ERROR Stocks: [Stockgrid] Price vs Short Interest Volume {ticker}",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def macd_command(ctx,
ticker="",
fast="12",
slow="26",
signal="9",
start="",
end=""):
"""Displays chart with moving average convergence/divergence [Yahoo Finance]"""
try:
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"!stocks.ta.macd %s %s %s %s %s %s",
ticker,
fast,
slow,
signal,
start,
end,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
if end == "":
end = datetime.now()
else:
end = datetime.strptime(end, cfg.DATE_FORMAT)
if not fast.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
fast = float(fast)
if not slow.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
slow = float(slow)
if not signal.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
signal = float(signal)
ticker = ticker.upper()
df_stock = discordbot.helpers.load(ticker, start)
if df_stock.empty:
raise Exception("Stock ticker is invalid")
# Retrieve Data
df_stock = df_stock.loc[(df_stock.index >= start)
& (df_stock.index < end)]
df_ta = momentum_model.macd(df_stock["Adj Close"], fast, slow, signal)
trace_name = df_ta.columns[0].replace("_", " ")
fig = make_subplots(
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.5, 0.6],
)
fig.add_trace(
go.Scatter(
name=ticker,
x=df_stock.index,
y=df_stock["Adj Close"].values,
line=dict(color="#fdc708", width=2),
opacity=1,
showlegend=False,
),
row=1,
col=1,
)
fig.add_trace(
go.Bar(
name="MACD Histogram",
x=df_ta.index,
y=df_ta.iloc[:, 1].values,
opacity=1,
),
row=2,
col=1,
)
fig.add_trace(
go.Scatter(
mode="lines",
name="MACD Line",
x=df_ta.index,
y=df_ta.iloc[:, 0].values,
opacity=1,
),
row=2,
col=1,
)
fig.add_trace(
go.Scatter(
mode="lines",
name="Signal Line",
x=df_ta.index,
y=df_ta.iloc[:, 2].values,
opacity=1,
),
row=2,
col=1,
)
fig.update_layout(
margin=dict(l=0, r=20, t=30, b=20),
template=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=f"{ticker} {trace_name}",
title_x=0.3,
yaxis_title="Stock Price ($)",
yaxis=dict(fixedrange=False, ),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
),
dragmode="pan",
legend=dict(orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1),
)
config = dict({"scrollZoom": True})
imagefile = "ta_macd.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/macd_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/macd_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
if cfg.DEBUG:
logger.debug("Image: %s", imagefile)
title = "Stocks: Moving-Average-Convergence-Divergence " + ticker
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: Moving-Average-Convergence-Divergence",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def ford_command(ctx):
"""Display Orders by Fidelity Customers. [Source: Fidelity]
Parameters
----------
num: Number of stocks to display
"""
try:
# Debug
if cfg.DEBUG:
logger.debug("!ford")
order_header, df_orders = fidelity_model.get_orders()
df_orders = df_orders.head(n=30).iloc[:, :-1]
df_orders = df_orders.applymap(str)
font_color = (["white"] * 2 + [[
"#ad0000" if boolv else "#0d5700"
for boolv in df_orders["Price Change"].str.contains("-")
]] + [["white"] * 3])
df_orders.set_index("Symbol", inplace=True)
df_orders = df_orders.apply(lambda x: x.str.slice(0, 20))
dindex = len(df_orders.index)
fig = df2img.plot_dataframe(
df_orders,
fig_size=(1500, (40 + (40 * dindex))),
col_width=[1, 3, 2.2, 3, 2, 2],
tbl_cells=dict(
align=["left", "center", "left", "left", "center"],
font=dict(color=font_color),
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "disc-ford.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = "Fidelity Customer Orders"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Fidelity Customer Orders",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def overview_command(
ctx,
ticker: str = None,
expiry: str = None,
min_sp: float = None,
max_sp: float = None,
):
"""Options Overview"""
try:
# Debug
startTime2 = time.time()
if cfg.DEBUG:
print(f"!stocks.opt.iv {ticker} {expiry} {min_sp} {max_sp}")
# Check for argument
if ticker is None:
raise Exception("Stock ticker is required")
# Get options info/dates, Look for logo_url
df = get_options_info(ticker) # Barchart Options IV Overview
dates = yfinance_model.option_expirations(ticker) # Expiration dates
tup = f"{ticker.upper()}"
url = yf.Ticker(tup).info["logo_url"]
url += "?raw=true" if url else ""
if not dates:
raise Exception("Stock ticker is invalid")
options = yfinance_model.get_option_chain(ticker, str(expiry))
calls = options.calls
puts = options.puts
current_price = yfinance_model.get_price(ticker)
min_strike2 = np.percentile(calls["strike"], 1)
max_strike2 = np.percentile(calls["strike"], 100)
min_strike = 0.75 * current_price
max_strike = 1.95 * current_price
if len(calls) > 40:
min_strike = 0.75 * current_price
max_strike = 1.25 * current_price
if min_sp:
min_strike = min_sp
min_strike2 = min_sp
if max_sp:
max_strike = max_sp
max_strike2 = max_sp
if min_sp > max_sp: # type: ignore
min_sp, max_sp = max_strike2, min_strike2
call_oi = calls.set_index("strike")["openInterest"] / 1000
put_oi = puts.set_index("strike")["openInterest"] / 1000
df_opt = pd.merge(call_oi, put_oi, left_index=True, right_index=True)
df_opt = df_opt.rename(columns={
"openInterest_x": "OI_call",
"openInterest_y": "OI_put"
})
max_pain = op_helpers.calculate_max_pain(df_opt)
fig = go.Figure()
dmax = df_opt[["OI_call", "OI_put"]].values.max()
dmin = df_opt[["OI_call", "OI_put"]].values.min()
fig.add_trace(
go.Scatter(
x=df_opt.index,
y=df_opt["OI_call"],
name="Calls",
mode="lines+markers",
line=dict(color="green", width=3),
))
fig.add_trace(
go.Scatter(
x=df_opt.index,
y=df_opt["OI_put"],
name="Puts",
mode="lines+markers",
line=dict(color="red", width=3),
))
fig.add_trace(
go.Scatter(
x=[current_price, current_price],
y=[dmin, dmax],
mode="lines",
line=dict(color="gold", width=2),
name="Current Price",
))
fig.add_trace(
go.Scatter(
x=[max_pain, max_pain],
y=[dmin, dmax],
mode="lines",
line=dict(color="grey", width=3, dash="dash"),
name=f"Max Pain: {max_pain}",
))
fig.update_xaxes(
range=[min_strike, max_strike],
constrain="domain",
)
fig.update_layout(
margin=dict(l=0, r=0, t=60, b=20),
template=cfg.PLT_SCAT_STYLE_TEMPLATE,
title=f"Open Interest for {ticker.upper()} expiring {expiry}",
title_x=0.5,
legend_title="",
xaxis_title="Strike",
yaxis_title="Open Interest (1k)",
xaxis=dict(rangeslider=dict(visible=False), ),
legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01),
dragmode="pan",
)
config = dict({"scrollZoom": True})
imagefile = "opt_oi.png"
fig.write_image(imagefile)
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/oi_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/oi_{html_ran}.html)"
img = Image.open(imagefile)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image_oi = gst_imgur.upload_image(imagefile,
title="something")
image_link_oi = uploaded_image_oi.link
column_map = {
"openInterest": "oi",
"volume": "vol",
"impliedVolatility": "iv"
}
columns = [
"strike",
"bid",
"ask",
"volume",
"openInterest",
"impliedVolatility",
]
calls_df = calls[columns].rename(columns=column_map)
puts_df = puts[columns].rename(columns=column_map)
calls_df = calls_df[calls_df["strike"] >= min_strike2]
calls_df = calls_df[calls_df["strike"] <= max_strike2]
puts_df = puts_df[puts_df["strike"] >= min_strike2]
puts_df = puts_df[puts_df["strike"] <= max_strike2]
calls_df["iv"] = pd.to_numeric(calls_df["iv"].astype(float))
puts_df["iv"] = pd.to_numeric(puts_df["iv"].astype(float))
formats = {"iv": "{:.2f}"}
for col, f in formats.items():
calls_df[col] = calls_df[col].map(lambda x: f.format(x) # pylint: disable=W0640
)
puts_df[col] = puts_df[col].map(lambda x: f.format(x) # pylint: disable=W0640
)
calls_df.set_index("strike", inplace=True)
puts_df.set_index("strike", inplace=True)
if "-" in df.iloc[0, 1]:
iv = f"```diff\n- {df.iloc[0, 1]}\n```"
else:
iv = f"```yaml\n {df.iloc[0, 1]}\n```"
pfix, sfix = f"{ticker.upper()} ", f" expiring {expiry}"
if expiry == dates[0]:
pfix = f"{ticker.upper()} Weekly "
sfix = ""
embeds = [
disnake.Embed(
title=f"{ticker.upper()} Overview",
color=cfg.COLOR,
),
disnake.Embed(
title=f"{pfix}Open Interest{sfix}",
description=plt_link,
colour=cfg.COLOR,
),
]
choices = [
disnake.SelectOption(label=f"{ticker.upper()} Overview",
value="0",
emoji="🟢"),
disnake.SelectOption(label=f"{pfix}Open Interest{sfix}",
value="1",
emoji="🟢"),
]
embeds_img = []
i, i2, end = 0, 0, 20
df_calls = []
dindex = len(calls_df.index)
while i <= dindex:
df_calls = calls_df.iloc[i:end]
df_calls.append(df_calls)
figp = df2img.plot_dataframe(
df_calls,
fig_size=(1000, (40 + (40 * 20))),
col_width=[3, 3, 3, 3],
tbl_cells=cfg.PLT_TBL_CELLS,
font=cfg.PLT_TBL_FONT,
template=cfg.PLT_TBL_STYLE_TEMPLATE,
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = f"opt-calls{i}.png"
df2img.save_dataframe(fig=figp, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image(imagefile,
title="something")
image_link = uploaded_image.link
embeds_img.append(f"{image_link}", )
embeds.append(
disnake.Embed(
title=f"{pfix}Calls{sfix}",
colour=cfg.COLOR,
), )
i2 += 1
i += 20
end += 20
os.remove(imagefile)
# Add Calls page field
i, page, puts_page = 2, 0, 3
i3 = i2 + 2
choices.append(
disnake.SelectOption(label="Calls Page 1", value="2",
emoji="🟢"), )
for i in range(2, i3):
page += 1
puts_page += 1
embeds[i].add_field(name=f"Calls Page {page}",
value="_ _",
inline=True)
# Puts Pages
i, end = 0, 20
df_puts = []
dindex = len(puts_df.index)
while i <= dindex:
df_puts = puts_df.iloc[i:end]
df_puts.append(df_puts)
figp = df2img.plot_dataframe(
df_puts,
fig_size=(1000, (40 + (40 * 20))),
col_width=[3, 3, 3, 3],
tbl_cells=cfg.PLT_TBL_CELLS,
font=cfg.PLT_TBL_FONT,
template=cfg.PLT_TBL_STYLE_TEMPLATE,
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = f"opt-puts{i}.png"
df2img.save_dataframe(fig=figp, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image(imagefile,
title="something")
image_link = uploaded_image.link
embeds_img.append(f"{image_link}", )
embeds.append(
disnake.Embed(
title=f"{pfix}Puts{sfix}",
colour=cfg.COLOR,
), )
i2 += 1
i += 20
end += 20
os.remove(imagefile)
# Add Puts page field
i, page = 0, 0
puts_page -= 1
i2 += 2
choices.append(
disnake.SelectOption(label="Puts Page 1",
value=f"{puts_page}",
emoji="🟢"), )
for i in range(puts_page, i2):
page += 1
embeds[i].add_field(name=f"Puts Page {page}",
value="_ _",
inline=True)
# Author/Footer
for i in range(0, i2):
embeds[i].set_author(
name=cfg.AUTHOR_NAME,
url=cfg.AUTHOR_URL,
icon_url=cfg.AUTHOR_ICON_URL,
)
embeds[i].set_footer(
text=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
# Set images to Pages
i = 0
img_i = 0
embeds[1].set_image(url=image_link_oi)
for i in range(2, i2):
embeds[i].set_image(url=embeds_img[img_i])
img_i += 1
i += 1
if url:
embeds[0].set_thumbnail(url=f"{url}")
else:
embeds[0].set_thumbnail(url=cfg.AUTHOR_ICON_URL)
# Overview Section
embeds[0].add_field(name=f"{df.iloc[0, 0]}", value=iv, inline=False)
embeds[0].add_field(name=f"•{df.iloc[1, 0]}",
value=f"```css\n{df.iloc[1, 1]}\n```",
inline=True)
for N in range(2, 6):
embeds[0].add_field(
name=f"_ _ _ _ _ _ _ _ _ _ •{df.iloc[N, 0]}",
value=f"```css\n{df.iloc[N, 1]}\n```",
inline=True,
)
embeds[0].add_field(name="_ _", value="_ _", inline=False)
for N in range(6, 8):
embeds[0].add_field(
name=f"_ _ _ _ _ _ _ _ _ _ •{df.iloc[N, 0]}",
value=f"```css\n{df.iloc[N, 1]}\n```",
inline=True,
)
embeds[0].add_field(name="_ _", value="_ _", inline=False)
for N in range(8, 10):
embeds[0].add_field(
name=f"_ _ _ _ _ _ _ _ _ _ •{df.iloc[N, 0]}",
value=f"```css\n{df.iloc[N, 1]}\n```",
inline=True,
)
embeds[0].add_field(name="_ _", value="_ _", inline=False)
for N in range(10, 12):
embeds[0].add_field(
name=f"_ _ _ _ _ _ _ _ _ _ •{df.iloc[N, 0]}",
value=f"```css\n{df.iloc[N, 1]}\n```",
inline=True,
)
embeds[0].set_footer(text=f"Page 1 of {len(embeds)}")
executionTime2 = time.time() - startTime2
print(
f"\n> {__name__} is finished: time in seconds: {executionTime2}\n")
await ctx.send(embed=embeds[0], view=Menu(embeds, choices))
except Exception as e:
embed = disnake.Embed(
title="ERROR Options: Overview",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def kc_command(ctx,
ticker="",
length="20",
scalar="2",
mamode="sma",
offset="0",
start="",
end=""):
"""Displays chart with keltner channel [Yahoo Finance]"""
try:
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"!stocks.ta.kc %s %s %s %s %s %s %s",
ticker,
length,
scalar,
mamode,
offset,
start,
end,
)
# Check for argument
possible_ma = ["sma", "ema", "wma", "hma", "zlma"]
if ticker == "":
raise Exception("Stock ticker is required")
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
if end == "":
end = datetime.now()
else:
end = datetime.strptime(end, cfg.DATE_FORMAT)
if not length.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
length = int(length)
if not scalar.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
scalar = float(scalar)
if not offset.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
offset = float(offset)
if mamode not in possible_ma:
raise Exception("Invalid ma entered")
ticker = ticker.upper()
df_stock = discordbot.helpers.load(ticker, start)
if df_stock.empty:
raise Exception("Stock ticker is invalid")
# Retrieve Data
df_stock = df_stock.loc[(df_stock.index >= start)
& (df_stock.index < end)]
df_ta = volatility_model.kc(
df_stock["High"],
df_stock["Low"],
df_stock["Adj Close"],
length,
scalar,
mamode,
offset,
)
# Output Data
fig = go.Figure()
fig.add_trace(
go.Scatter(
name="upper",
x=df_ta.index,
y=df_ta.iloc[:, 2].values,
opacity=1,
mode="lines",
line_color="indigo",
showlegend=False,
), )
fig.add_trace(
go.Scatter(
name="lower",
x=df_ta.index,
y=df_ta.iloc[:, 0].values,
opacity=1,
mode="lines",
line_color="indigo",
fill="tonexty",
fillcolor="rgba(74, 0, 128, 0.2)",
showlegend=False,
), )
fig.add_trace(
go.Scatter(
name="mid",
x=df_ta.index,
y=df_ta.iloc[:, 1].values,
opacity=1,
line=dict(
width=1.5,
dash="dash",
),
), )
fig.add_trace(
go.Scatter(
name=f"{ticker}",
x=df_stock.index,
y=df_stock["Adj Close"],
line=dict(color="#fdc708", width=2),
opacity=1,
), )
fig.update_layout(
margin=dict(l=0, r=0, t=50, b=20),
template=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=f"{ticker} Keltner Channels ({mamode.upper()})",
title_x=0.5,
yaxis_title="Stock Price ($)",
xaxis_title="Time",
yaxis=dict(fixedrange=False, ),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
),
dragmode="pan",
legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01),
)
config = dict({"scrollZoom": True})
imagefile = "ta_kc.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/kc_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/kc_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
if cfg.DEBUG:
logger.debug("Image: %s", imagefile)
title = "Stocks: Keltner-Channel " + ticker
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: Keltner-Channel",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def topbuys_command(
ctx,
gov_type="",
past_transactions_months: int = 5,
num: int = 20,
raw: bool = False,
):
"""Displays most purchased stocks by the congress/senate/house [quiverquant.com]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug(
"!stocks.gov.topbuys %s %s %s %s",
gov_type,
past_transactions_months,
num,
raw,
)
possible_args = ["congress", "senate", "house"]
if gov_type == "":
gov_type = "congress"
elif gov_type not in possible_args:
raise Exception(
"Enter a valid government argument, options are: congress, senate and house"
)
# Retrieve Data
df_gov = quiverquant_model.get_government_trading(gov_type)
if df_gov.empty:
logger.debug("No %s trading data found", gov_type)
return
df_gov = df_gov.sort_values("TransactionDate", ascending=False)
start_date = datetime.now() - timedelta(days=past_transactions_months *
30)
df_gov["TransactionDate"] = pd.to_datetime(df_gov["TransactionDate"])
df_gov = df_gov[df_gov["TransactionDate"] > start_date].dropna()
# Catch bug where error shown for purchase of >5,000,000
df_gov["Range"] = df_gov["Range"].apply(
lambda x: "$5,000,001-$5,000,001" if x == ">$5,000,000" else x)
df_gov["min"] = df_gov["Range"].apply(
lambda x: x.split("-")[0].strip("$").replace(",", "").strip())
df_gov["max"] = df_gov["Range"].apply(
lambda x: x.split("-")[1].replace(",", "").strip().strip("$")
if "-" in x else x.strip("$").replace(",", ""))
df_gov["lower"] = df_gov[["min", "max", "Transaction"]].apply(
lambda x: float(x["min"])
if x["Transaction"] == "Purchase" else -float(x["max"]),
axis=1,
)
df_gov["upper"] = df_gov[["min", "max", "Transaction"]].apply(
lambda x: float(x["max"])
if x["Transaction"] == "Purchase" else -float(x["min"]),
axis=1,
)
df_gov = df_gov.sort_values("TransactionDate", ascending=True)
if raw:
df = pd.DataFrame(
df_gov.groupby("Ticker")["upper"].sum().div(1000).sort_values(
ascending=False).head(n=num))
description = "```" + df.to_string() + "```"
plt.style.use("seaborn")
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
df_gov.groupby("Ticker")["upper"].sum().div(1000).sort_values(
ascending=False).head(n=num).plot(kind="bar", rot=0, ax=ax)
ax.set_ylabel("Amount [1k $]")
ax.set_title(
f"Top {num} purchased stocks over last {past_transactions_months} "
f"months (upper bound) for {gov_type.upper()}")
plt.gcf().axes[0].yaxis.get_major_formatter().set_scientific(False)
fig.tight_layout()
plt.savefig("gov_topbuys.png")
imagefile = "gov_topbuys.png"
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image("gov_topbuys.png",
title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = f"Stocks: [quiverquant.com] Top purchases for {gov_type.upper()}"
if raw:
embed = disnake.Embed(title=title,
description=description,
colour=cfg.COLOR)
else:
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
embed.set_image(url=image_link)
os.remove("gov_topbuys.png")
await ctx.send(embed=embed)
except Exception as e:
embed = disnake.Embed(
title=
f"ERROR Stocks: [quiverquant.com] Top purchases for {gov_type.upper()}",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def contracts_command(ctx,
ticker: str = "",
past_transaction_days: int = 10,
raw: bool = False):
"""Displays contracts associated with tickers [quiverquant.com]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!stocks.gov.contracts %s %s %s", ticker,
past_transaction_days, raw)
if ticker == "":
raise Exception("A ticker is required")
# Retrieve Data
df_contracts = quiverquant_model.get_government_trading(
"contracts", ticker)
if df_contracts.empty:
raise Exception("No government contracts found")
# Output Data
df_contracts["Date"] = pd.to_datetime(df_contracts["Date"]).dt.date
df_contracts = df_contracts[df_contracts["Date"].isin(
df_contracts["Date"].unique()[:past_transaction_days])]
df_contracts.drop_duplicates(inplace=True)
plt.style.use("seaborn")
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
df_contracts.groupby("Date").sum().div(1000).plot(kind="bar",
rot=0,
ax=ax)
ax.set_ylabel("Amount ($1k)")
ax.set_title(f"Sum of latest government contracts to {ticker}")
fig.tight_layout()
plt.savefig("gov_contracts.png")
imagefile = "gov_contracts.png"
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image("gov_contracts.png",
title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = f"Stocks: [quiverquant.com] Contracts by {ticker}"
if raw:
description = df_contracts.to_string()
embed = disnake.Embed(title=title,
description=description,
colour=cfg.COLOR)
else:
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
embed.set_image(url=image_link)
os.remove("gov_contracts.png")
await ctx.send(embed=embed)
except Exception as e:
embed = disnake.Embed(
title=f"ERROR Stocks: [quiverquant.com] Contracts by {ticker}",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def chain_command(
ctx,
ticker: str = None,
expiry: str = None,
opt_type: str = None,
min_sp: float = None,
max_sp: float = None,
):
"""Show calls/puts for given ticker and expiration"""
try:
# Debug
if cfg.DEBUG:
logger.debug("opt-chain %s %s %s %s %s", ticker, expiry, opt_type,
min_sp, max_sp)
# Check for argument
if not ticker:
raise Exception("Stock ticker is required")
dates = yfinance_model.option_expirations(ticker)
if not dates:
raise Exception("Stock ticker is invalid")
options = yfinance_model.get_option_chain(ticker, str(expiry))
calls_df = options.calls
puts_df = options.puts
column_map = {
"openInterest": "oi",
"volume": "vol",
"impliedVolatility": "iv"
}
columns = [
"strike",
"bid",
"ask",
"volume",
"openInterest",
"impliedVolatility",
]
if opt_type == "Calls":
df = calls_df[columns].rename(columns=column_map)
if opt_type == "Puts":
df = puts_df[columns].rename(columns=column_map)
min_strike = np.percentile(df["strike"], 1)
max_strike = np.percentile(df["strike"], 100)
if min_sp:
min_strike = min_sp
if max_sp:
max_strike = max_sp
if min_sp > max_sp: # type: ignore
min_sp, max_sp = max_strike, min_strike
df = df[df["strike"] >= min_strike]
df = df[df["strike"] <= max_strike]
df["iv"] = pd.to_numeric(df["iv"].astype(float))
formats = {"iv": "{:.2f}"}
for col, f in formats.items():
df[col] = df[col].map(lambda x: f.format(x)) # pylint: disable=W0640
df.set_index("strike", inplace=True)
title = f"Stocks: {opt_type} Option Chain for {ticker.upper()} on {expiry} [yfinance]"
embeds: list = []
# Weekly Calls Pages
i, i2, end = 0, 0, 20
df_pg = []
embeds_img = []
dindex = len(df.index)
while i < dindex:
df_pg = df.iloc[i:end]
df_pg.append(df_pg)
figp = df2img.plot_dataframe(
df_pg,
fig_size=(1000, (40 + (40 * 20))),
col_width=[3, 3, 3, 3],
tbl_cells=dict(height=35, ),
font=dict(
family="Consolas",
size=20,
),
template="plotly_dark",
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = f"opt-chain{i}.png"
df2img.save_dataframe(fig=figp, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image(imagefile,
title="something")
image_link = uploaded_image.link
embeds_img.append(f"{image_link}", )
embeds.append(disnake.Embed(
title=title,
colour=cfg.COLOR,
), )
i2 += 1
i += 20
end += 20
os.remove(imagefile)
# Author/Footer
for i in range(0, i2):
embeds[i].set_author(
name=cfg.AUTHOR_NAME,
url=cfg.AUTHOR_URL,
icon_url=cfg.AUTHOR_ICON_URL,
)
embeds[i].set_footer(
text=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
i = 0
for i in range(0, i2):
embeds[i].set_image(url=embeds_img[i])
i += 1
embeds[0].set_footer(text=f"Page 1 of {len(embeds)}")
options = [
disnake.SelectOption(label="Home", value="0", emoji="🟢"),
]
await ctx.send(embed=embeds[0], view=Menu(embeds, options))
except Exception as e:
embed = disnake.Embed(
title="ERROR Stock-Options: Expirations",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def valuation_command(ctx, economy_group="sector"):
"""Valuation of sectors, industry, country [Finviz]"""
d_economy_group = {
"sector": "Sector",
"industry": "Industry",
"basic_materials": "Industry (Basic Materials)",
"communication_services": "Industry (Communication Services)",
"consumer_cyclical": "Industry (Consumer Cyclical)",
"consumer_defensive": "Industry (Consumer Defensive)",
"energy": "Industry (Energy)",
"financial": "Industry (Financial)",
"healthcare": "Industry (Healthcare)",
"industrials": "Industry (Industrials)",
"real_estate": "Industry (Real Estate)",
"technology": "Industry (Technology)",
"utilities": "Industry (Utilities)",
"country": "Country (U.S. listed stocks only)",
"capitalization": "Capitalization",
}
try:
# Debug user input
if cfg.DEBUG:
logger.debug("econ-valuation %s", economy_group)
# Select default group
if economy_group == "":
if cfg.DEBUG:
logger.debug("Use default economy_group: 'sector'")
economy_group = "sector"
# Check for argument
possible_groups = list(d_economy_group.keys())
if economy_group not in possible_groups:
raise Exception(
f"Select a valid group from {', '.join(possible_groups)}" # nosec
)
group = d_economy_group[economy_group]
# Retrieve data
df_group = finviz_model.get_valuation_performance_data(
group, "valuation")
# Check for argument
if df_group.empty:
raise Exception("No available data found")
# Output data
df = pd.DataFrame(df_group)
df = df.replace(np.nan, 0)
df = df.set_axis(
[
"Name",
"MarketCap",
"P/E",
"FwdP/E",
"PEG",
"P/S",
"P/B",
"P/C",
"P/FCF",
"EPSpast5Y",
"EPSnext5Y",
"Salespast5Y",
"Change",
"Volume",
],
axis="columns",
)
df["P/E"] = pd.to_numeric(df["P/E"].astype(float))
df["FwdP/E"] = pd.to_numeric(df["FwdP/E"].astype(float))
df["EPSpast5Y"] = pd.to_numeric(df["EPSpast5Y"].astype(float))
df["EPSnext5Y"] = pd.to_numeric(df["EPSnext5Y"].astype(float))
df["Salespast5Y"] = pd.to_numeric(df["Salespast5Y"].astype(float))
df["Volume"] = pd.to_numeric(df["Volume"].astype(float))
df["Volume"] = df["Volume"] / 1_000_000
formats = {
"P/E": "{:.2f}",
"FwdP/E": "{:.2f}",
"EPSpast5Y": "{:.2f}",
"EPSnext5Y": "{:.2f}",
"Salespast5Y": "{:.2f}",
"Change": "{:.2f}",
"Volume": "{:.0f}M",
}
for col, value in formats.items():
df[col] = df[col].map(lambda x: value.format(x)) # pylint: disable=W0640
df = df.fillna("")
df.set_index("Name", inplace=True)
dindex = len(df.index)
fig = df2img.plot_dataframe(
df,
fig_size=(1600, (40 + (50 * dindex))),
col_width=[12, 5, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 4, 4],
tbl_cells=dict(
align=["left", "center"],
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "econ-valuation.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = f"Economy: [Finviz] Valuation {group}"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Economy: [Finviz] Valuation",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def vol_command(
ctx,
ticker: str = None,
expiry: str = "",
min_sp: float = None,
max_sp: float = None,
):
"""Options VOL"""
try:
# Debug
if cfg.DEBUG:
print(f"opt-vol {ticker} {expiry} {min_sp} {max_sp}")
# Check for argument
if ticker is None:
raise Exception("Stock ticker is required")
dates = yfinance_model.option_expirations(ticker)
if not dates:
raise Exception("Stock ticker is invalid")
options = yfinance_model.get_option_chain(ticker, expiry)
current_price = yfinance_model.get_price(ticker)
if min_sp is None:
min_strike = 0.75 * current_price
else:
min_strike = min_sp
if max_sp is None:
max_strike = 1.25 * current_price
else:
max_strike = max_sp
calls = options.calls
puts = options.puts
call_v = calls.set_index("strike")["volume"] / 1000
put_v = puts.set_index("strike")["volume"] / 1000
df_opt = pd.merge(put_v, call_v, left_index=True, right_index=True)
dmax = df_opt.values.max()
fig = go.Figure()
fig.add_trace(
go.Scatter(
x=call_v.index,
y=call_v.values,
name="Calls",
mode="lines+markers",
line=dict(color="green", width=3),
))
fig.add_trace(
go.Scatter(
x=put_v.index,
y=put_v.values,
name="Puts",
mode="lines+markers",
line=dict(color="red", width=3),
))
fig.add_trace(
go.Scatter(
x=[current_price, current_price],
y=[0, dmax],
mode="lines",
line=dict(color="gold", width=2),
name="Current Price",
))
fig.update_xaxes(
range=[min_strike, max_strike],
constrain="domain",
)
fig.update_layout(
margin=dict(l=0, r=0, t=60, b=20),
template=cfg.PLT_SCAT_STYLE_TEMPLATE,
title=f"Volume for {ticker.upper()} expiring {expiry}",
title_x=0.5,
legend_title="",
xaxis_title="Strike",
yaxis_title="Volume (1k)",
xaxis=dict(rangeslider=dict(visible=False), ),
legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01),
dragmode="pan",
)
config = dict({"scrollZoom": True})
imagefile = "opt_vol.png"
fig.write_image(imagefile)
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/vol_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/vol_{html_ran}.html)"
img = Image.open(imagefile)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = discord.File(imagefile)
if cfg.DEBUG:
print(f"Image: {imagefile}")
title = f"Volume for {ticker.upper()} expiring {expiry}"
embed = discord.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = discord.Embed(
title="ERROR Options: Volume",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def vsurf_command(
ctx,
ticker: str = "",
z: str = "IV",
):
"""Display vol surface
Parameters
----------
ticker: Stock Ticker
z : The variable for the Z axis
"""
try:
# Debug
print(f"!stocks.opt.oi {ticker} {z}")
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
data = yfinance_model.get_iv_surface(ticker)
if data.empty:
raise Exception(f"No options data found for {ticker}.\n")
Y = data.dte
X = data.strike
if z == "IV":
Z = data.impliedVolatility
label = "Volatility"
elif z == "OI":
Z = data.openInterest
label = "Open Interest"
elif z == "LP":
Z = data.lastPrice
label = "Last Price"
points3D = np.vstack((X, Y, Z)).T
points2D = points3D[:, :2]
tri = Delaunay(points2D)
I, J, K = tri.simplices.T
lighting_effects = dict(ambient=0.5,
diffuse=0.5,
roughness=0.5,
specular=0.4,
fresnel=0.4)
fig = go.Figure(data=[
go.Mesh3d(
z=Z,
x=X,
y=Y,
i=I,
j=J,
k=K,
intensity=Z,
colorscale=cfg.PLT_3DMESH_COLORSCALE,
hovertemplate="<b>DTE</b>: %{y} <br><b>Strike</b>: %{x} <br><b>"
+ z + "</b>: %{z}<extra></extra>",
showscale=False,
flatshading=True,
lighting=lighting_effects,
)
])
fig.update_layout(scene=dict(
xaxis=dict(
title="Strike",
tickfont=dict(size=11),
titlefont=dict(size=12),
),
yaxis=dict(title="DTE", ),
zaxis=dict(title=z, ),
), )
fig.update_layout(
margin=dict(l=0, r=0, t=40, b=20),
width=1320,
height=740,
template=cfg.PLT_3DMESH_STYLE_TEMPLATE,
title=f"{label} Surface for {ticker.upper()}",
title_x=0.5,
hoverlabel=cfg.PLT_3DMESH_HOVERLABEL,
scene_camera=dict(
up=dict(x=0, y=0, z=2),
center=dict(x=0, y=0, z=-0.3),
eye=dict(x=1.25, y=1.25, z=0.69),
),
scene=cfg.PLT_3DMESH_SCENE,
)
config = dict({"scrollZoom": True})
imagefile = "opt-vsurf.png"
fig.write_image(imagefile)
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/vsurf_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/vsurf_{html_ran}.html)"
img = Image.open(imagefile)
im_bg = Image.open(cfg.IMG_BG)
h = img.height
w = img.width
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
title = f"{label} Surface for {ticker.upper()}"
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except IndexError:
embed = disnake.Embed(
title="ERROR Options: Volatility Surface",
colour=cfg.COLOR,
description=f"Inconistent data for {ticker.upper()} {z}",
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
except Exception as e:
embed = disnake.Embed(
title="ERROR Options: Volatility Surface",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def historical_command(ctx, signal: str = "", start=""):
"""Displays historical price comparison between similar companies [Yahoo Finance]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!stocks.scr.historical %s %s", signal, start)
# Check for argument
if signal not in so.d_signals_desc:
raise Exception("Invalid preset selected!")
register_matplotlib_converters()
screen = ticker.Ticker()
if signal in finviz_model.d_signals:
screen.set_filter(signal=finviz_model.d_signals[signal])
else:
preset_filter = configparser.RawConfigParser()
preset_filter.optionxform = str # type: ignore
preset_filter.read(so.presets_path + signal + ".ini")
d_general = preset_filter["General"]
d_filters = {
**preset_filter["Descriptive"],
**preset_filter["Fundamental"],
**preset_filter["Technical"],
}
d_filters = {k: v for k, v in d_filters.items() if v}
if d_general["Signal"]:
screen.set_filter(filters_dict=d_filters,
signal=d_general["Signal"])
else:
screen.set_filter(filters_dict=d_filters)
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
# Output Data
l_min = []
l_leg = []
l_stocks = screen.ScreenerView(verbose=0)
if len(l_stocks) > 10:
description = (
"\nThe limit of stocks to compare with are 10. Hence, 10 random similar stocks will be displayed."
"\nThe selected list will be: ")
random.shuffle(l_stocks)
l_stocks = sorted(l_stocks[:10])
description = description + (", ".join(l_stocks))
logger.debug(description)
plt.style.use("seaborn")
plt.figure(figsize=plot_autoscale(), dpi=PLOT_DPI)
while l_stocks:
l_parsed_stocks = []
for symbol in l_stocks:
try:
df_similar_stock = yf.download(
symbol,
start=datetime.strftime(start, "%Y-%m-%d"),
progress=False,
threads=False,
)
if not df_similar_stock.empty:
plt.plot(
df_similar_stock.index,
df_similar_stock["Adj Close"].values,
)
l_min.append(df_similar_stock.index[0])
l_leg.append(symbol)
l_parsed_stocks.append(symbol)
except Exception as e:
error = (
f"{e}\nDisregard previous error, which is due to API Rate limits from Yahoo Finance. "
f"Because we like '{symbol}', and we won't leave without getting data from it."
)
embed = disnake.Embed(
title=
"ERROR Stocks: [Yahoo Finance] Historical Screener",
colour=cfg.COLOR,
description=error,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
for parsed_stock in l_parsed_stocks:
l_stocks.remove(parsed_stock)
if signal:
plt.title(
f"Screener Historical Price using {finviz_model.d_signals[signal]} signal"
)
else:
plt.title(f"Screener Historical Price using {signal} preset")
plt.xlabel("Time")
plt.ylabel("Share Price ($)")
plt.legend(l_leg)
plt.grid(b=True, which="major", color="#666666", linestyle="-")
plt.minorticks_on()
plt.grid(b=True,
which="minor",
color="#999999",
linestyle="-",
alpha=0.2)
# ensures that the historical data starts from same datapoint
plt.xlim([max(l_min), df_similar_stock.index[-1]])
plt.savefig("scr_historical.png")
imagefile = "scr_historical.png"
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image("scr_historical.png",
title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = "Stocks: [Yahoo Finance] Historical Screener"
embed = disnake.Embed(title=title,
description=description,
colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
embed.set_image(url=image_link)
os.remove("scr_historical.png")
await ctx.send(embed=embed)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: [Yahoo Finance] Historical Screener",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def oi_command(
ctx,
ticker: str = None,
expiry: str = "",
min_sp: float = None,
max_sp: float = None,
):
"""Options OI"""
try:
# Debug
print(f"!stocks.opt.oi {ticker} {expiry} {min_sp} {max_sp}")
# Check for argument
if ticker is None:
raise Exception("Stock ticker is required")
dates = yfinance_model.option_expirations(ticker)
if not dates:
raise Exception("Stock ticker is invalid")
options = yfinance_model.get_option_chain(ticker, expiry)
calls = options.calls
puts = options.puts
current_price = yfinance_model.get_price(ticker)
min_strike = 0.75 * current_price
max_strike = 1.95 * current_price
if len(calls) > 40:
min_strike = 0.75 * current_price
max_strike = 1.25 * current_price
if min_sp:
min_strike = min_sp
if max_sp:
max_strike = max_sp
call_oi = calls.set_index("strike")["openInterest"] / 1000
put_oi = puts.set_index("strike")["openInterest"] / 1000
df_opt = pd.merge(call_oi, put_oi, left_index=True, right_index=True)
df_opt = df_opt.rename(
columns={"openInterest_x": "OI_call", "openInterest_y": "OI_put"}
)
max_pain = op_helpers.calculate_max_pain(df_opt)
fig = go.Figure()
dmax = df_opt[["OI_call", "OI_put"]].values.max()
dmin = df_opt[["OI_call", "OI_put"]].values.min()
fig.add_trace(
go.Scatter(
x=df_opt.index,
y=df_opt["OI_call"],
name="Calls",
mode="lines+markers",
line=dict(color="green", width=3),
)
)
fig.add_trace(
go.Scatter(
x=df_opt.index,
y=df_opt["OI_put"],
name="Puts",
mode="lines+markers",
line=dict(color="red", width=3),
)
)
fig.add_trace(
go.Scatter(
x=[current_price, current_price],
y=[dmin, dmax],
mode="lines",
line=dict(color="gold", width=2),
name="Current Price",
)
)
fig.add_trace(
go.Scatter(
x=[max_pain, max_pain],
y=[dmin, dmax],
mode="lines",
line=dict(color="grey", width=3, dash="dash"),
name=f"Max Pain: {max_pain}",
)
)
fig.update_xaxes(
range=[min_strike, max_strike],
constrain="domain",
)
fig.update_layout(
margin=dict(l=0, r=0, t=60, b=20),
template=cfg.PLT_SCAT_STYLE_TEMPLATE,
title=f"Open Interest for {ticker.upper()} expiring {expiry}",
title_x=0.5,
legend_title="",
xaxis_title="Strike",
yaxis_title="Open Interest (1k)",
xaxis=dict(
rangeslider=dict(visible=False),
),
legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01),
dragmode="pan",
)
config = dict({"scrollZoom": True})
imagefile = "opt_oi.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/cci_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/cci_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
if cfg.DEBUG:
print(f"Image URL: {imagefile}")
title = f"Open Interest for {ticker.upper()} expiring {expiry}"
embed = disnake.Embed(title=title, description=plt_link, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Options: Open Interest",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def gtrades_command(
ctx,
ticker: str = "",
gov_type="",
past_transactions_months: int = 10,
raw: bool = False,
):
"""Displays government trades [quiverquant.com]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug(
"!stocks.gov.gtrades %s %s %s %s",
ticker,
gov_type,
past_transactions_months,
raw,
)
if ticker == "":
raise Exception("A ticker is required")
possible_args = ["congress", "senate", "house"]
if gov_type == "":
gov_type = "congress"
elif gov_type not in possible_args:
raise Exception(
"Enter a valid government argument, options are: congress, senate and house"
)
# Retrieve Data
df_gov = quiverquant_model.get_government_trading(gov_type, ticker)
if df_gov.empty:
raise Exception(f"No {gov_type} trading data found")
# Output Data
df_gov = df_gov.sort_values("TransactionDate", ascending=False)
start_date = datetime.now() - timedelta(days=past_transactions_months *
30)
df_gov["TransactionDate"] = pd.to_datetime(df_gov["TransactionDate"])
df_gov = df_gov[df_gov["TransactionDate"] > start_date]
if df_gov.empty:
logger.debug("No recent %s trading data found", gov_type)
return
df_gov["min"] = df_gov["Range"].apply(
lambda x: x.split("-")[0].strip("$").replace(",", "").strip())
df_gov["max"] = df_gov["Range"].apply(
lambda x: x.split("-")[1].replace(",", "").strip().strip("$")
if "-" in x else x.strip("$").replace(",", "").split("\n")[0])
df_gov["lower"] = df_gov[["min", "max", "Transaction"]].apply(
lambda x: int(float(x["min"]))
if x["Transaction"] == "Purchase" else -int(float(x["max"])),
axis=1,
)
df_gov["upper"] = df_gov[["min", "max", "Transaction"]].apply(
lambda x: int(float(x["max"]))
if x["Transaction"] == "Purchase" else -1 * int(float(x["min"])),
axis=1,
)
df_gov = df_gov.sort_values("TransactionDate", ascending=True)
plt.style.use("seaborn")
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
ax.fill_between(
df_gov["TransactionDate"].unique(),
df_gov.groupby("TransactionDate")["lower"].sum().values / 1000,
df_gov.groupby("TransactionDate")["upper"].sum().values / 1000,
)
ax.set_xlim([
df_gov["TransactionDate"].values[0],
df_gov["TransactionDate"].values[-1],
])
ax.grid()
ax.set_title(f"{gov_type.capitalize()} trading on {ticker}")
ax.set_xlabel("Date")
ax.set_ylabel("Amount ($1k)")
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter("%Y/%m/%d"))
plt.gcf().autofmt_xdate()
fig.tight_layout()
plt.savefig("gov_gtrades.png")
imagefile = "gov_gtrades.png"
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image("gov_gtrades.png",
title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = "Stocks: [quiverquant.com] Government Trades"
if raw:
description = df_gov.to_string()
embed = disnake.Embed(title=title,
description=description,
colour=cfg.COLOR)
else:
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
embed.set_image(url=image_link)
os.remove("gov_gtrades.png")
await ctx.send(embed=embed)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: [quiverquant.com] Government Trades",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def rsi_command(ctx,
ticker="",
length="14",
scalar="100",
drift="1",
start="",
end=""):
"""Displays chart with relative strength index [Yahoo Finance]"""
try:
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"!stocks.ta.rsi %s %s %s %s %s %s",
ticker,
length,
scalar,
drift,
start,
end,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
if start == "":
start = datetime.now() - timedelta(days=365)
else:
start = datetime.strptime(start, cfg.DATE_FORMAT)
if end == "":
end = datetime.now()
else:
end = datetime.strptime(end, cfg.DATE_FORMAT)
if not length.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
length = float(length)
if not scalar.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
scalar = float(scalar)
if not drift.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
drift = float(drift)
ticker = ticker.upper()
df_stock = discordbot.helpers.load(ticker, start)
if df_stock.empty:
raise Exception("Stock ticker is invalid")
# Retrieve Data
df_stock = df_stock.loc[(df_stock.index >= start)
& (df_stock.index < end)]
df_ta = momentum_model.rsi(df_stock["Adj Close"], length, scalar,
drift)
# Output Data
fig = make_subplots(
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.5, 0.6],
)
fig.add_trace(
go.Scatter(
name=ticker,
x=df_stock.index,
y=df_stock["Adj Close"].values,
line=dict(color="#fdc708", width=2),
opacity=1,
showlegend=False,
),
row=1,
col=1,
)
for i in range(0, df_ta.shape[1]):
trace_name = df_ta.columns[i].replace("_", " ")
fig.add_trace(
go.Scatter(
name=trace_name,
x=df_ta.index,
y=df_ta.iloc[:, i],
opacity=1,
),
row=2,
col=1,
)
fig.add_hrect(
y0=70,
y1=100,
fillcolor="red",
opacity=0.2,
layer="below",
line_width=0,
row=2,
col=1,
)
fig.add_hrect(
y0=0,
y1=30,
fillcolor="green",
opacity=0.2,
layer="below",
line_width=0,
row=2,
col=1,
)
fig.add_hline(
y=70,
fillcolor="green",
opacity=1,
layer="below",
line_width=3,
line=dict(color="red", dash="dash"),
row=2,
col=1,
)
fig.add_hline(
y=30,
fillcolor="green",
opacity=1,
layer="below",
line_width=3,
line=dict(color="green", dash="dash"),
row=2,
col=1,
)
fig.update_layout(
margin=dict(l=0, r=20, t=30, b=20),
template=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.PLT_TA_COLORWAY,
title=f"{ticker} {trace_name}",
title_x=0.5,
yaxis_title="Stock Price ($)",
yaxis=dict(fixedrange=False, ),
xaxis=dict(
rangeslider=dict(visible=False),
type="date",
),
dragmode="pan",
legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01),
)
config = dict({"scrollZoom": True})
imagefile = "ta_rsi.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/rsi_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/rsi_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
fig.write_image(imagefile)
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
# Paste fig onto background img and autocrop background
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
print(f"Image {imagefile}")
if cfg.DEBUG:
logger.debug("Image: %s", imagefile)
title = f"Stocks: Relative-Strength-Index {ticker}"
embed = disnake.Embed(title=title,
description=plt_link,
colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: Relative-Strength-Index",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def histcont_command(ctx, ticker=""):
"""Displays historical quarterly-contracts [quiverquant.com]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("!stocks.gov.histcont %s", ticker)
if ticker == "":
raise Exception("A ticker is required")
# Retrieve Data
df_contracts = quiverquant_model.get_government_trading(
"quarter-contracts", ticker=ticker)
if df_contracts.empty:
logger.debug("No quarterly government contracts found")
return
# Output Data
amounts = df_contracts.sort_values(by=["Year", "Qtr"])["Amount"].values
qtr = df_contracts.sort_values(by=["Year", "Qtr"])["Qtr"].values
year = df_contracts.sort_values(by=["Year", "Qtr"])["Year"].values
quarter_ticks = [
f"{quarter[0]}" if quarter[1] == 1 else ""
for quarter in zip(year, qtr)
]
plt.style.use("seaborn")
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
ax.plot(np.arange(0, len(amounts)), amounts / 1000, "-*", lw=2, ms=15)
ax.set_xlim([-0.5, len(amounts) - 0.5])
ax.set_xticks(np.arange(0, len(amounts)))
ax.set_xticklabels(quarter_ticks)
ax.grid()
ax.set_title(
f"Historical Quarterly Government Contracts for {ticker.upper()}")
ax.set_xlabel("Date")
ax.set_ylabel("Amount ($1k)")
fig.tight_layout()
plt.savefig("gov_histcont.png")
imagefile = "gov_histcont.png"
img = Image.open(imagefile)
print(img.size)
im_bg = Image.open(cfg.IMG_BG)
h = img.height + 240
w = img.width + 520
img = img.resize((w, h), Image.ANTIALIAS)
x1 = int(0.5 * im_bg.size[0]) - int(0.5 * img.size[0])
y1 = int(0.5 * im_bg.size[1]) - int(0.5 * img.size[1])
x2 = int(0.5 * im_bg.size[0]) + int(0.5 * img.size[0])
y2 = int(0.5 * im_bg.size[1]) + int(0.5 * img.size[1])
img = img.convert("RGB")
im_bg.paste(img, box=(x1 - 5, y1, x2 - 5, y2))
im_bg.save(imagefile, "PNG", quality=100)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image("gov_histcont.png",
title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = "Stocks: Historical Quarterly Government Contract " + ticker
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
embed.set_image(url=image_link)
os.remove("gov_histcont.png")
await ctx.send(embed=embed)
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: Historical Quarterly Government Contract",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def futures_command(ctx):
"""Futures and commodities overview [Wall St. Journal]"""
try:
# Debug user input
if cfg.DEBUG:
logger.debug("econ-futures")
# Retrieve data
df = wsj_model.top_commodities()
# Check for argument
if df.empty:
raise Exception("No available data found")
df["Price"] = pd.to_numeric(df["Price"].astype(float))
df["Chg"] = pd.to_numeric(df["Chg"].astype(float))
df["%Chg"] = pd.to_numeric(df["%Chg"].astype(float))
# Debug user output
if cfg.DEBUG:
logger.debug(df.to_string())
formats = {"Price": "${:.2f}", "Chg": "${:.2f}", "%Chg": "{:.2f}%"}
for col, value in formats.items():
df[col] = df[col].map(lambda x: value.format(x)) # pylint: disable=W0640
df = df.fillna("")
df.set_index(" ", inplace=True)
df = df[[
"Price",
"Chg",
"%Chg",
]]
dindex = len(df.index)
fig = df2img.plot_dataframe(
df,
fig_size=(800, (40 + (40 * dindex))),
col_width=[8, 3, 3],
tbl_cells=dict(
align="left",
height=35,
),
template="plotly_dark",
font=dict(
family="Consolas",
size=20,
),
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "econ-futures.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
image = disnake.File(imagefile)
title = "Economy: [WSJ] Futures/Commodities"
embed = disnake.Embed(title=title, colour=cfg.COLOR)
embed.set_image(url=f"attachment://{imagefile}")
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
os.remove(imagefile)
await ctx.send(embed=embed, file=image)
except Exception as e:
embed = disnake.Embed(
title="ERROR Economy: [WSJ] Futures/Commodities",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
async def est_command(ctx, ticker: str = ""):
"""Displays earning estimates [Business Insider]"""
try:
# Debug
if cfg.DEBUG:
logger.debug("!stocks.dd.est %s", ticker)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
(
df_year_estimates,
df_quarter_earnings,
df_quarter_revenues,
) = business_insider_model.get_estimates(ticker)
if (df_quarter_revenues.empty and df_year_estimates.empty
and df_quarter_earnings.empty):
raise Exception("Enter a valid ticker")
# Debug user output
if cfg.DEBUG:
logger.debug(df_year_estimates.to_string())
logger.debug(df_quarter_earnings.to_string())
logger.debug(df_quarter_revenues.to_string())
dindex = len(df_year_estimates.index)
fig = df2img.plot_dataframe(
df_year_estimates,
fig_size=(1200, (40 + (60 * dindex))),
col_width=[12, 4, 4, 4, 4],
tbl_cells=dict(height=35, ),
font=dict(
family="Consolas",
size=20,
),
template="plotly_dark",
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "estimates.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image(imagefile, title="something")
link_estimates = uploaded_image.link
os.remove(imagefile)
fig = df2img.plot_dataframe(
df_quarter_earnings,
fig_size=(1200, (40 + (40 * 20))),
col_width=[5, 5, 4, 4, 5, 4],
tbl_cells=dict(height=35, ),
font=dict(
family="Consolas",
size=20,
),
template="plotly_dark",
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "earnings.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image(imagefile, title="something")
link_earnings = uploaded_image.link
os.remove(imagefile)
fig = df2img.plot_dataframe(
df_quarter_revenues,
fig_size=(1200, (40 + (40 * 20))),
col_width=[5, 5, 4, 4, 5, 4],
tbl_cells=dict(height=35, ),
font=dict(
family="Consolas",
size=20,
),
template="plotly_dark",
paper_bgcolor="rgba(0, 0, 0, 0)",
)
imagefile = "revenues.png"
df2img.save_dataframe(fig=fig, filename=imagefile)
image = Image.open(imagefile)
image = autocrop_image(image, 0)
image.save(imagefile, "PNG", quality=100)
uploaded_image = gst_imgur.upload_image(imagefile, title="something")
link_revenues = uploaded_image.link
os.remove(imagefile)
embeds = [
disnake.Embed(
title=f"**{ticker.upper()} Year Estimates**",
color=cfg.COLOR,
),
disnake.Embed(
title=f"**{ticker.upper()} Quarter Earnings**",
colour=cfg.COLOR,
),
disnake.Embed(
title=f"**{ticker.upper()} Quarter Revenues**",
colour=cfg.COLOR,
),
]
embeds[0].set_image(url=link_estimates)
embeds[1].set_image(url=link_earnings)
embeds[2].set_image(url=link_revenues)
# Output data
choices = [
disnake.SelectOption(label=f"{ticker.upper()} Year Estimates",
value="0",
emoji="🟢"),
disnake.SelectOption(label=f"{ticker.upper()} Quarter Earnings",
value="1",
emoji="🟢"),
disnake.SelectOption(label=f"{ticker.upper()} Quarter Revenues",
value="2",
emoji="🟢"),
]
await ctx.send(embed=embeds[0], view=Menu(embeds, choices))
except Exception as e:
embed = disnake.Embed(
title="ERROR Stocks: [Business Insider] Earning Estimates",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed, delete_after=30.0)
