def view_kc(
ohlc: pd.DataFrame,
length: int = 20,
scalar: float = 2,
mamode: str = "ema",
offset: int = 0,
s_ticker: str = "",
export: str = "",
external_axes: Optional[List[plt.Axes]] = None,
):
"""View Keltner Channels Indicator
Parameters
----------
ohlc : pd.DataFrame
Dataframe of stock prices
length : int
Length of window
mamode: str
Type of filter
offset : int
Offset value
s_ticker : str
Ticker
export : str
Format to export data
external_axes : Optional[List[plt.Axes]], optional
External axes (2 axes are expected in the list), by default None
"""
df_ta = volatility_model.kc(
ohlc["High"],
ohlc["Low"],
ohlc["Adj Close"],
length,
scalar,
mamode,
offset,
)
plot_data = pd.merge(ohlc,
df_ta,
how="outer",
left_index=True,
right_index=True)
plot_data = reindex_dates(plot_data)
# This plot has 1 axis
if external_axes is None:
_, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
else:
if len(external_axes) != 1:
console.print("[red]Expected list of 1 axis item./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,
linewidth=0.7,
label="Upper",
)
ax.plot(plot_data.index,
plot_data[df_ta.columns[1]].values,
linewidth=0.7,
ls="--")
ax.plot(
plot_data.index,
plot_data[df_ta.columns[2]].values,
linewidth=0.7,
label="Lower",
)
ax.fill_between(
plot_data.index,
plot_data[df_ta.columns[0]].values,
plot_data[df_ta.columns[2]].values,
alpha=0.1,
)
ax.set_title(f"{s_ticker} Keltner Channels")
ax.set_xlim(plot_data.index[0], plot_data.index[-1])
ax.set_ylabel("Price")
ax.legend([s_ticker, df_ta.columns[0], df_ta.columns[1], df_ta.columns[2]])
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"),
"kc",
df_ta,
)
def view_kc(
s_ticker: str,
s_interval: str,
df_stock: pd.DataFrame,
length: int,
scalar: float,
mamode: str,
offset: int,
export: str = "",
):
"""View Keltner Channels Indicator
Parameters
----------
s_ticker : str
Ticker
s_interval : str
Interval of data
df_stock : pd.DataFrame
Dataframe of stock prices
length : int
Length of window
mamode: str
Type of filter
offset : int
Offset value
export : str
Format to export data
"""
df_ta = volatility_model.kc(s_interval, df_stock, length, scalar, mamode,
offset)
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="fuchsia")
else:
ax.plot(df_stock.index, df_stock["Close"].values, color="fuchsia")
ax.plot(df_ta.index, df_ta.iloc[:, 0].values, "b", lw=1.5, label="upper")
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, "b", lw=1.5, label="lower")
ax.set_title(f"{s_ticker} Keltner Channels")
ax.set_xlim(df_stock.index[0], df_stock.index[-1])
ax.set_xlabel("Time")
ax.set_ylabel("Price")
ax.legend([s_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.legend()
plt.show()
print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)).replace("common", "stocks"),
"kc",
df_ta,
)
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)
def kc_command(
ticker="",
interval: int = 15,
past_days: int = 0,
length="20",
scalar="2",
ma_mode="sma",
offset="0",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with keltner channel [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta kc %s %s %s %s %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
length,
scalar,
ma_mode,
offset,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
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)
# 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)]
if df_ta.empty:
raise Exception("No Data Found")
ta_data = volatility_model.kc(
df_stock["High"],
df_stock["Low"],
df_stock["Adj Close"],
length,
scalar,
ma_mode,
offset,
)
df_ta = df_ta.join(ta_data)
# 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,
bar=bar_start,
int_bar=interval,
shared_xaxes=True,
vertical_spacing=0.07,
)
title = f"<b>{plot['plt_title']} Keltner Channels ({ma_mode.upper()})</b>"
fig = plot["fig"]
idx = 6 if interval != 1440 else 11
fig.add_trace(
go.Scatter(
name="upper",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 2)].values,
opacity=1,
mode="lines",
line_color="indigo",
showlegend=False,
),
row=1,
col=1,
secondary_y=True,
)
fig.add_trace(
go.Scatter(
name="lower",
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)",
showlegend=False,
),
row=1,
col=1,
secondary_y=True,
)
fig.add_trace(
go.Scatter(
name="mid",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 1)].values,
opacity=1,
line=dict(
width=1.5,
dash="dash",
),
showlegend=False,
),
row=1,
col=1,
secondary_y=True,
)
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=0.02,
title_font_size=14,
dragmode="pan",
)
imagefile = "ta_kc.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: Keltner-Channel {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
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, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
ax.plot(df_stock.index, df_stock["Adj Close"].values, color="fuchsia")
ax.plot(df_ta.index,
df_ta.iloc[:, 0].values,
"b",
lw=1.5,
label="upper")
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,
"b",
lw=1.5,
label="lower")
ax.set_title(f"{ticker} Keltner Channels")
ax.set_xlim(df_stock.index[0], df_stock.index[-1])
ax.set_xlabel("Time")
ax.set_ylabel("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.legend()
plt.savefig("ta_kc.png")
uploaded_image = gst_imgur.upload_image("ta_kc.png", title="something")
image_link = uploaded_image.link
if cfg.DEBUG:
logger.debug("Image URL: %s", image_link)
title = "Stocks: Keltner-Channel " + 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_kc.png")
await ctx.send(embed=embed)
except Exception as e:
embed = discord.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)
def kc_command(ticker="",
length="20",
scalar="2",
mamode="sma",
offset="0",
start="",
end=""):
"""Displays chart with keltner channel [Yahoo Finance]"""
# Debug
if cfg.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"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 = 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 = helpers.uuid_get()
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,
)
imagefile = helpers.image_border(imagefile, fig=fig)
return {
"title": f"Stocks: Keltner-Channel {ticker}",
"description": plt_link,
"imagefile": imagefile,
}
