def display_bbands(
ohlc: pd.DataFrame,
ticker: str = "",
length: int = 15,
n_std: float = 2,
mamode: str = "sma",
export: str = "",
external_axes: Optional[List[plt.Axes]] = None,
):
"""Show bollinger bands
Parameters
----------
ohlc : pd.DataFrame
Dataframe of stock prices
ticker : str
Ticker
length : int
Length of window to calculate BB
n_std : float
Number of standard deviations to show
mamode : str
Method of calculating average
export : str
Format of export file
external_axes : Optional[List[plt.Axes]], optional
External axes (1 axis is expected in the list), by default None
"""
df_ta = volatility_model.bbands(ohlc["Adj Close"], length, n_std, mamode)
plot_data = pd.merge(ohlc,
df_ta,
how="outer",
left_index=True,
right_index=True)
plot_data = reindex_dates(plot_data)
# This plot has 2 axes
if not external_axes:
_, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
else:
if len(external_axes) != 1:
console.print("[red]Expected list of 2 axis items./n[/red]")
return
(ax, ) = external_axes
ax.plot(
plot_data.index,
plot_data["Adj Close"].values,
)
ax.plot(
plot_data.index,
plot_data[df_ta.columns[0]].values,
theme.down_color,
linewidth=0.7,
)
ax.plot(plot_data.index,
plot_data[df_ta.columns[1]].values,
ls="--",
linewidth=0.7)
ax.plot(
plot_data.index,
plot_data[df_ta.columns[2]].values,
theme.up_color,
linewidth=0.7,
)
ax.set_title(f"{ticker} Bollinger Bands")
ax.set_xlim(plot_data.index[0], plot_data.index[-1])
ax.set_ylabel("Share Price ($)")
ax.legend([ticker, df_ta.columns[0], df_ta.columns[1], df_ta.columns[2]])
ax.fill_between(df_ta.index,
df_ta.iloc[:, 0].values,
df_ta.iloc[:, 2].values,
alpha=0.1)
theme.style_primary_axis(
ax,
data_index=plot_data.index.to_list(),
tick_labels=plot_data["date"].to_list(),
)
if external_axes is None:
theme.visualize_output()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"),
"bbands",
df_ta,
)
def view_bbands(
ticker: str,
s_interval: str,
df_stock: pd.DataFrame,
length: int,
n_std: float,
mamode: str,
export: str = "",
):
"""Show bollinger bands
Parameters
----------
ticker : str
Ticker
s_interval : str
Interval of stock data
df_stock : pd.DataFrame
Dataframe of stock prices
length : int
Length of window to calculate BB
n_std : float
Number of standard deviations to show
mamode : str
Method of calculating average
export : str
Format of export file
"""
df_ta = volatility_model.bbands(s_interval, df_stock, length, n_std,
mamode)
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
if s_interval == "1440min":
ax.plot(df_stock.index, df_stock["Adj Close"].values, color="k", lw=3)
else:
ax.plot(df_stock.index, df_stock["Close"].values, color="k", lw=3)
ax.plot(df_ta.index, df_ta.iloc[:, 0].values, "r", lw=2)
ax.plot(df_ta.index, df_ta.iloc[:, 1].values, "b", lw=1.5, ls="--")
ax.plot(df_ta.index, df_ta.iloc[:, 2].values, "g", lw=2)
ax.set_title(f"{ticker} Bollinger Bands")
ax.set_xlim(df_stock.index[0], df_stock.index[-1])
ax.set_xlabel("Time")
ax.set_ylabel("Share Price ($)")
ax.legend([ticker, df_ta.columns[0], df_ta.columns[1], df_ta.columns[2]])
ax.fill_between(
df_ta.index,
df_ta.iloc[:, 0].values,
df_ta.iloc[:, 2].values,
alpha=0.1,
color="b",
)
ax.grid(b=True, which="major", color="#666666", linestyle="-")
if gtff.USE_ION:
plt.ion()
plt.gcf().autofmt_xdate()
fig.tight_layout(pad=1)
plt.show()
print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"),
"bbands",
df_ta,
)
async def bbands_command(ctx,
ticker="",
length="5",
n_std="2",
mamode="sma",
start="",
end=""):
"""Displays chart with bollinger bands [Yahoo Finance]"""
try:
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"!stocks.ta.bbands %s %s %s %s %s %s",
ticker,
length,
n_std,
mamode,
start,
end,
)
# Check for argument
possible_ma = [
"dema",
"ema",
"fwma",
"hma",
"linreg",
"midpoint",
"pwma",
"rma",
"sinwma",
"sma",
"swma",
"t3",
"tema",
"trima",
"vidya",
"wma",
"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 = float(length)
if not n_std.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
n_std = float(n_std)
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.bbands(df_stock["Adj Close"], length, n_std,
mamode)
# Output Data
bbu = df_ta.columns[2].replace("_", " ")
bbm = df_ta.columns[1].replace("_", " ")
bbl = df_ta.columns[0].replace("_", " ")
fig = go.Figure()
fig.add_trace(
go.Scatter(
name=f"{bbu}",
x=df_ta.index,
y=df_ta.iloc[:, 2].values,
opacity=1,
mode="lines",
line_color="indigo",
), )
fig.add_trace(
go.Scatter(
name=f"{bbl}",
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)",
), )
fig.add_trace(
go.Scatter(
name=f"{bbm}",
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} Bollinger Bands ({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_bbands.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = random.randint(69, 69420)
fig.write_html(f"in/bbands_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/bbands_{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: Bollinger-Bands {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: Bollinger-Bands",
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)
def bbands_command(ticker="",
length="5",
n_std="2",
mamode="sma",
start="",
end=""):
"""Displays chart with bollinger bands [Yahoo Finance]"""
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta-bbands %s %s %s %s %s %s",
ticker,
length,
n_std,
mamode,
start,
end,
)
# Check for argument
possible_ma = [
"dema",
"ema",
"fwma",
"hma",
"linreg",
"midpoint",
"pwma",
"rma",
"sinwma",
"sma",
"swma",
"t3",
"tema",
"trima",
"vidya",
"wma",
"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 = float(length)
if not n_std.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
n_std = float(n_std)
if mamode not in possible_ma:
raise Exception("Invalid ma entered")
ticker = ticker.upper()
df_stock = 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.bbands(df_stock["Adj Close"], length, n_std,
mamode)
# Output Data
bbu = df_ta.columns[2].replace("_", " ")
bbm = df_ta.columns[1].replace("_", " ")
bbl = df_ta.columns[0].replace("_", " ")
fig = go.Figure()
fig.add_trace(
go.Scatter(
name=f"{bbu}",
x=df_ta.index,
y=df_ta.iloc[:, 2].values,
opacity=1,
mode="lines",
line_color="indigo",
), )
fig.add_trace(
go.Scatter(
name=f"{bbl}",
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)",
), )
fig.add_trace(
go.Scatter(
name=f"{bbm}",
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} Bollinger Bands ({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_bbands.png"
# Check if interactive settings are enabled
plt_link = ""
if cfg.INTERACTIVE:
html_ran = helpers.uuid_get()
fig.write_html(f"in/bbands_{html_ran}.html", config=config)
plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/bbands_{html_ran}.html)"
fig.update_layout(
width=800,
height=500,
)
imagefile = helpers.image_border(imagefile, fig=fig)
return {
"title": f"Stocks: Bollinger-Bands {ticker}",
"description": plt_link,
"imagefile": imagefile,
}
def bbands_command(
ticker="",
interval: int = 15,
past_days: int = 0,
length="20",
n_std: float = 2.0,
ma_mode="sma",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with bollinger bands [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta bbands %s %s %s %s %s %s %s %s %s %s",
ticker,
past_days,
length,
n_std,
ma_mode,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
possible_ma = [
"dema",
"ema",
"fwma",
"hma",
"linreg",
"midpoint",
"pwma",
"rma",
"sinwma",
"sma",
"swma",
"t3",
"tema",
"trima",
"vidya",
"wma",
"zlma",
]
if ticker == "":
raise Exception("Stock ticker is required")
if not length.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
ta_length = float(length)
n_std = float(n_std)
if ma_mode not in possible_ma:
raise Exception("Invalid ma entered")
# Retrieve Data
df_stock, start, end, bar_start = load_candle.stock_data(
ticker=ticker,
interval=interval,
past_days=past_days,
extended_hours=extended_hours,
start=start,
end=end,
heikin_candles=heikin_candles,
)
if df_stock.empty:
raise Exception("No Data Found")
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
df_ta = df_ta.join(
volatility_model.bbands(df_ta["Adj Close"], ta_length, n_std, ma_mode))
# Output Data
if interval != 1440:
df_ta = df_ta.loc[(df_ta.index >= bar_start) & (df_ta.index < end)]
df_ta = df_ta.fillna(0.0)
plot = load_candle.candle_fig(df_ta, ticker, interval, extended_hours,
news)
title = f"<b>{plot['plt_title']} Bollinger Bands ({ma_mode.upper()})</b>"
fig = plot["fig"]
idx = 6 if interval != 1440 else 11
fig.add_trace(
go.Scatter(
name=f"BBU_{length}_{n_std}",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 2)].values,
opacity=1,
mode="lines",
line_color="indigo",
),
secondary_y=True,
row=1,
col=1,
)
fig.add_trace(
go.Scatter(
name=f"BBL_{length}_{n_std}",
x=df_ta.index,
y=df_ta.iloc[:, idx].values,
opacity=1,
mode="lines",
line_color="indigo",
fill="tonexty",
fillcolor="rgba(74, 0, 128, 0.2)",
),
secondary_y=True,
row=1,
col=1,
)
fig.add_trace(
go.Scatter(
name=f"BBM_{length}_{n_std}",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 1)].values,
opacity=1,
line=dict(
width=1.5,
dash="dash",
),
),
secondary_y=True,
row=1,
col=1,
)
fig.update_layout(
margin=dict(l=0, r=0, t=50, b=20),
template=imps.PLT_TA_STYLE_TEMPLATE,
colorway=imps.PLT_TA_COLORWAY,
title=title,
title_x=0.1,
title_font_size=14,
dragmode="pan",
)
imagefile = "ta_bbands.png"
# Check if interactive settings are enabled
plt_link = ""
if imps.INTERACTIVE:
plt_link = imps.inter_chart(fig, imagefile, callback=False)
fig.update_layout(
width=800,
height=500,
)
imagefile = imps.image_border(imagefile, fig=fig)
return {
"title": f"Stocks: Bollinger-Bands {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
async def bbands_command(ctx,
ticker="",
length="5",
n_std="2",
mamode="sma",
start="",
end=""):
"""Displays chart with bollinger bands [Yahoo Finance]"""
try:
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"!stocks.ta.bbands %s %s %s %s %s %s",
ticker,
length,
n_std,
mamode,
start,
end,
)
# Check for argument
possible_ma = [
"dema",
"ema",
"fwma",
"hma",
"linreg",
"midpoint",
"pwma",
"rma",
"sinwma",
"sma",
"swma",
"t3",
"tema",
"trima",
"vidya",
"wma",
"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 = float(length)
if not n_std.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
n_std = float(n_std)
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.bbands(df_stock["Adj Close"], length, n_std,
mamode)
# Output Data
fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
ax.plot(df_stock.index, df_stock["Adj Close"].values, color="k", lw=3)
ax.plot(df_ta.index, df_ta.iloc[:, 0].values, "r", lw=2)
ax.plot(df_ta.index, df_ta.iloc[:, 1].values, "b", lw=1.5, ls="--")
ax.plot(df_ta.index, df_ta.iloc[:, 2].values, "g", lw=2)
ax.set_title(f"{ticker} Bollinger Bands")
ax.set_xlim(df_stock.index[0], df_stock.index[-1])
ax.set_xlabel("Time")
ax.set_ylabel("Share Price ($)")
ax.legend(
[ticker, df_ta.columns[0], df_ta.columns[1], df_ta.columns[2]])
ax.fill_between(
df_ta.index,
df_ta.iloc[:, 0].values,
df_ta.iloc[:, 2].values,
alpha=0.1,
color="b",
)
ax.grid(b=True, which="major", color="#666666", linestyle="-")
plt.gcf().autofmt_xdate()
fig.tight_layout(pad=1)
plt.savefig("ta_bbands.png")
uploaded_image = gst_imgur.upload_image("ta_bbands.png",
title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = "Stocks: Bollinger-Bands " + ticker
embed = discord.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("ta_bbands.png")
await ctx.send(embed=embed)
except Exception as e:
embed = discord.Embed(
title="ERROR Stocks: Bollinger-Bands",
colour=cfg.COLOR,
description=e,
)
embed.set_author(
name=cfg.AUTHOR_NAME,
icon_url=cfg.AUTHOR_ICON_URL,
)
await ctx.send(embed=embed)
