def fib_command(
ticker="",
interval: int = 15,
past_days: int = 0,
start: str = "",
end: str = "",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with fibonacci retracement [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta fib %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
start,
end,
extended_hours,
heikin_candles,
news,
)
past_days = (past_days + 1) if (interval != 1440) or (start != "") else 365
# 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(f"No data found for {ticker.upper()}.")
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
# Output Data
if interval != 1440:
df_ta = df_ta.loc[(df_ta.index >= bar_start) & (df_ta.index < end)]
(
df_fib,
min_date,
max_date,
min_pr,
max_pr,
) = custom_indicators_model.calculate_fib_levels(df_ta, 12, bar_start,
None)
levels = df_fib.Price
# Output Data
fibs = [
"<b>0</b>",
"<b>0.235</b>",
"<b>0.382</b>",
"<b>0.5</b>",
"<b>0.618</b>",
"<b>0.65</b>",
"<b>1</b>",
]
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']} Fibonacci-Retracement-Levels</b>"
lvl_text: str = "right" if min_date > max_date else "left"
fig = plot["fig"]
fig.add_trace(
go.Scatter(
x=[min_date, max_date],
y=[min_pr, max_pr],
opacity=1,
mode="lines",
line=imps.PLT_FIB_COLORWAY[8],
showlegend=False,
),
row=1,
col=1,
secondary_y=True,
)
for i in range(6):
fig.add_trace(
go.Scatter(
name=fibs[i],
x=[min_date, max_date],
y=[levels[i], levels[i]],
opacity=0.2,
mode="lines",
line_color=imps.PLT_FIB_COLORWAY[i],
showlegend=False,
),
row=1,
col=1,
secondary_y=True,
)
fig.add_trace(
go.Scatter(
name=fibs[i + 1],
x=[min_date, max_date],
y=[levels[i + 1], levels[i + 1]],
opacity=0.2,
mode="lines",
fill="tonexty",
line_color=imps.PLT_FIB_COLORWAY[i + 1],
showlegend=False,
),
row=1,
col=1,
secondary_y=True,
)
for i in range(7):
fig.add_trace(
go.Scatter(
name=fibs[i],
x=[min_date],
y=[levels[i]],
opacity=0.9,
mode="text",
text=fibs[i],
textposition=f"middle {lvl_text}"
if i != 5 else f"bottom {lvl_text}",
textfont=dict(imps.PLT_FIB_COLORWAY[7],
color=imps.PLT_FIB_COLORWAY[i]),
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,
title=title,
title_x=0.02,
title_font_size=14,
dragmode="pan",
)
imagefile = "ta_fib.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: Fibonacci-Retracement-Levels {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
def macd_command(
ticker="",
interval: int = 15,
past_days: int = 0,
fast="12",
slow="26",
signal="9",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with moving average convergence/divergence [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta macd %s %s %s %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
fast,
slow,
signal,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
# 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")
if not fast.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
fast = int(fast)
if not slow.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
slow = int(slow)
if not signal.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
signal = int(signal)
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
if df_ta.empty:
raise Exception("No Data Found")
ta_data = momentum_model.macd(df_stock["Adj Close"], fast, slow, signal)
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,
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.4, 0.6],
specs=[[{"secondary_y": True}], [{"secondary_y": False}]],
)
title = f"<b>{plot['plt_title']} MACD {fast} {slow} {signal}</b>"
fig = plot["fig"]
idx = 6 if interval != 1440 else 11
fig.add_trace(
go.Bar(
name="MACD Histogram",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 1)].values,
opacity=(plot["bar_opacity"] + 0.3),
marker_color="#d81aea",
),
row=2,
col=1,
secondary_y=False,
)
fig.add_trace(
go.Scatter(
name="MACD Line",
mode="lines",
x=df_ta.index,
y=df_ta.iloc[:, idx].values,
opacity=0.8,
line=dict(color="#00e6c3"),
),
row=2,
col=1,
secondary_y=False,
)
fig.add_trace(
go.Scatter(
name="Signal Line",
mode="lines",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 2)].values,
opacity=1,
line=dict(color="#9467bd"),
),
row=2,
col=1,
secondary_y=False,
)
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_macd.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: Moving-Average-Convergence-Divergence {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
def stoch_command(
ticker: str = "",
interval: int = 15,
past_days: int = 0,
fast_k="14",
slow_d="3",
slow_k="4",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with stochastic relative strength average [Yahoo Finance]"""
# Debug
if imps.DEBUG:
logger.debug(
"ta stoch %s %s %s %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
fast_k,
slow_k,
slow_d,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
if not fast_k.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
fast_k = int(fast_k)
if not slow_k.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
slow_k = int(slow_k)
if not slow_d.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
slow_d = int(slow_d)
# 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,
)
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
if df_ta.empty:
raise Exception("No Data Found")
df_ta = df_ta.join(
momentum_model.stoch(
df_stock["High"],
df_stock["Low"],
df_stock["Adj Close"],
fast_k,
slow_d,
slow_k,
))
# 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,
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.4, 0.6],
specs=[[{
"secondary_y": True
}], [{
"secondary_y": False
}]],
)
title = f"<b>{plot['plt_title']} STOCH RSI</b>"
fig = plot["fig"]
idx = 6 if interval != 1440 else 11
fig.add_trace(
go.Scatter(
name=f"%K {fast_k}, {slow_d}, {slow_k}",
x=df_ta.index,
y=df_ta.iloc[:, idx].values,
line=dict(width=1.8),
mode="lines",
opacity=1,
),
row=2,
col=1,
)
fig.add_trace(
go.Scatter(
name=f"%D {fast_k}, {slow_d}, {slow_k}",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 1)].values,
line=dict(width=1.8, dash="dash"),
opacity=1,
),
row=2,
col=1,
)
fig.add_hrect(
y0=80,
y1=100,
fillcolor="red",
opacity=0.2,
layer="below",
line_width=0,
row=2,
col=1,
)
fig.add_hrect(
y0=0,
y1=20,
fillcolor="green",
opacity=0.2,
layer="below",
line_width=0,
row=2,
col=1,
)
fig.add_hline(
y=80,
fillcolor="green",
opacity=1,
layer="below",
line_width=3,
line=dict(color="red", dash="dash"),
row=2,
col=1,
)
fig.add_hline(
y=20,
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=0, t=50, b=20),
template=imps.PLT_TA_STYLE_TEMPLATE,
colorway=imps.PLT_TA_COLORWAY,
title=title,
title_x=0.01,
title_font_size=14,
dragmode="pan",
)
imagefile = "ta_stoch.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: Stochastic-Relative-Strength-Index {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
def adx_command(
ticker="",
interval: int = 15,
past_days: int = 0,
length="14",
scalar="100",
drift="1",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with average directional movement index [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta adx %s %s %s %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
length,
scalar,
drift,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
# 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")
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)
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
if df_ta.empty:
raise Exception("No Data Found")
ta_data = trend_indicators_model.adx(
df_stock["High"],
df_stock["Low"],
df_stock["Adj Close"],
length,
scalar,
drift,
)
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,
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.4, 0.6],
specs=[[{
"secondary_y": True
}], [{
"secondary_y": False
}]],
)
title = f"<b>{plot['plt_title']} Average Directional Movement Index</b>"
fig = plot["fig"]
idx = 6 if interval != 1440 else 11
fig.add_trace(
go.Scatter(
name=f"ADX ({length})",
mode="lines",
x=df_ta.index,
y=df_ta.iloc[:, idx].values,
opacity=1,
line=dict(width=2),
),
secondary_y=False,
row=2,
col=1,
)
fig.add_trace(
go.Scatter(
name=f"+DI ({length})",
mode="lines",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 1)].values,
opacity=1,
line=dict(width=1),
),
secondary_y=False,
row=2,
col=1,
)
fig.add_trace(
go.Scatter(
name=f"-DI ({length})",
mode="lines",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 2)].values,
opacity=1,
line=dict(width=1),
),
secondary_y=False,
row=2,
col=1,
)
fig.add_hline(
y=25,
fillcolor="grey",
opacity=1,
layer="below",
line_width=3,
line=dict(color="grey", dash="dash"),
row=2,
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=0.01,
title_font_size=12,
dragmode="pan",
)
imagefile = "ta_adx.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: Average-Directional-Movement-Index {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
def aroon_command(
ticker="",
interval: int = 15,
past_days: int = 0,
length="25",
scalar="100",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with aroon indicator [Yahoo Finance]"""
# Debug
if imps.DEBUG:
logger.debug(
"ta aroon %s %s %s %s %s, %s, %s, %s, %s, %s",
ticker,
interval,
past_days,
length,
scalar,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
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)
# 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(
trend_indicators_model.aroon(df_ta["High"], df_ta["Low"], length,
scalar))
# 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,
rows=3,
cols=1,
shared_xaxes=True,
vertical_spacing=0.02,
row_width=[0.2, 0.2, 0.3],
specs=[
[{
"secondary_y": True
}],
[{
"secondary_y": False
}],
[{
"secondary_y": False
}],
],
)
title = f"<b>{plot['plt_title']} Aroon ({length})</b>"
fig = plot["fig"]
idx = 6 if interval != 1440 else 11
fig.add_trace(
go.Scatter(
name="Aroon DOWN",
x=df_ta.index,
y=df_ta.iloc[:, idx].values,
opacity=1,
),
row=2,
col=1,
secondary_y=False,
)
fig.add_trace(
go.Scatter(
name="Aroon UP",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 1)].values,
opacity=1,
),
row=2,
col=1,
secondary_y=False,
)
fig.add_trace(
go.Scatter(
name="Aroon OSC",
x=df_ta.index,
y=df_ta.iloc[:, (idx + 2)].values,
opacity=1,
),
row=3,
col=1,
secondary_y=False,
)
fig.add_hline(
y=50,
fillcolor="grey",
opacity=1,
layer="below",
line_width=3,
line=dict(color="grey", dash="dash"),
row=2,
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",
yaxis=dict(nticks=10),
yaxis2=dict(nticks=10),
)
imagefile = "ta_aroon.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: Aroon-Indicator {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
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,
}
def candle_command(
ticker: str = "",
interval: int = 15,
past_days: int = 0,
extended_hours: bool = False,
start="",
end="",
news: bool = False,
heikin_candles: bool = False,
vwap: bool = False,
):
"""Shows candle plot of loaded ticker or crypto. [Source: Yahoo Finance or Binance API]
Parameters
----------
ticker : Stock Ticker
interval : Chart Minute Interval, 1440 for Daily
past_days: Past Days to Display. Default: 0(Not for Daily)
extended_hours: Display Pre/After Market Hours. Default: False
start: YYYY-MM-DD format
end: YYYY-MM-DD format
news: Display clickable news markers on interactive chart. Default: False
heikin_candles: Heikin Ashi candles. Default: False
"""
logger.info(
"candle %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
extended_hours,
start,
end,
news,
heikin_candles,
)
# 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,
news=news,
heikin_candles=heikin_candles,
)
df_stock = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
df_stock = df_stock.join(overlap_model.vwap(df_stock, 0))
# Check that loading a stock was not successful
if df_stock.empty:
raise Exception(f"No data found for {ticker.upper()}.")
# Output Data
if interval != 1440:
df_stock = df_stock.loc[(df_stock.index >= bar_start) & (df_stock.index < end)]
plot = load_candle.candle_fig(
df_stock,
ticker,
interval,
extended_hours,
news,
bar=bar_start,
int_bar=interval,
)
title = f"{plot['plt_title']} Chart"
fig = plot["fig"]
if interval != 1440 and vwap:
fig.add_trace(
go.Scatter(
name="VWAP",
x=df_stock.index,
y=df_stock["VWAP_D"],
opacity=0.65,
line=dict(color="#00e6c3", width=2),
showlegend=True,
),
secondary_y=True,
)
fig.update_layout(
margin=dict(l=0, r=0, t=40, b=20),
template=imps.PLT_CANDLE_STYLE_TEMPLATE,
title=title,
title_x=0.5,
title_font_size=14,
)
imagefile = "candle.png"
# Check if interactive settings are enabled
plt_link = ""
if imps.INTERACTIVE:
plt_link = imps.inter_chart(fig, imagefile, callback=True)
fig.update_layout(
width=800,
height=500,
)
imagefile = imps.image_border(imagefile, fig=fig)
return {
"title": title,
"description": plt_link,
"imagefile": imagefile,
}
def rsi_command(
ticker="",
interval: int = 15,
past_days: int = 0,
length="14",
scalar="100",
drift="1",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with relative strength index [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta rsi %s %s %s %s %s %s",
ticker,
interval,
past_days,
length,
scalar,
drift,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
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 drift.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
drift = int(drift)
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(momentum_model.rsi(df_ta["Adj Close"], length, scalar, drift))
# 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,
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.5, 0.6],
specs=[
[{"secondary_y": True}],
[{"secondary_y": False}],
],
)
title = f"<b>{plot['plt_title']} RSI</b>"
fig = plot["fig"]
fig.add_trace(
go.Scatter(
name=f"RSI {length}",
mode="lines",
x=df_ta.index,
y=df_ta.iloc[:, 6].values if interval != 1440 else df_ta.iloc[:, 11].values,
opacity=1,
),
row=2,
col=1,
secondary_y=False,
)
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=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",
yaxis=dict(nticks=15),
yaxis2=dict(nticks=10),
)
imagefile = "ta_rsi.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: Relative-Strength-Index {ticker.upper()}",
"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,
}
def ad_command(
ticker="",
interval: int = 15,
past_days: int = 0,
is_open: bool = False,
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with accumulation/distribution line [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta ad %s %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
is_open,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
# 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(volume_model.ad(df_stock, is_open))
# 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,
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.4, 0.6],
specs=[
[{
"secondary_y": True
}],
[{
"secondary_y": False
}],
],
)
title = f"<b>{plot['plt_title']} A/D</b>"
fig = plot["fig"]
fig.add_trace(
go.Scatter(
name="A/D",
x=df_ta.index,
y=df_ta.iloc[:, 6].values
if interval != 1440 else df_ta.iloc[:, 11].values,
mode="lines",
line=dict(width=2),
opacity=1,
),
row=2,
col=1,
)
fig.add_hline(
y=0,
fillcolor="grey",
opacity=1,
layer="below",
line_width=3,
line=dict(color="grey", dash="dash"),
row=2,
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_ad.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: Accumulation/Distribution Line {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
def ma_command(
ticker="",
interval: int = 15,
past_days: int = 0,
ma_mode="ema",
window="",
offset: int = 0,
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with selected Moving Average [Yahoo Finance]"""
# Debug
if imps.DEBUG:
# pylint: disable=logging-too-many-args
logger.debug(
"ta ma %s %s %s %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
ma_mode,
window,
offset,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
overlap_ma = {
"ema": overlap_model.ema,
"hma": overlap_model.hma,
"sma": overlap_model.sma,
"wma": overlap_model.wma,
"zlma": overlap_model.zlma,
}
if ticker == "":
raise Exception("Stock ticker is required")
# 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")
if window == "":
window = [20, 50]
else:
window_temp = list()
for wind in window.split(","):
try:
window_temp.append(int(wind))
except Exception as e:
raise Exception("Window needs to be a float") from e
window = window_temp
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
if df_ta.empty:
raise Exception("No Data Found")
for win in window:
ema_data = overlap_ma[ma_mode](values=df_ta["Adj Close"],
length=win,
offset=offset)
df_ta = df_ta.join(ema_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,
)
title = f"<b>{plot['plt_title']} Moving Average ({ma_mode.upper()})</b>"
fig = plot["fig"]
i2 = 6 if interval != 1440 else 11
for i in range(i2, df_ta.shape[1]):
fig.add_trace(
go.Scatter(
name=f"{df_ta.iloc[:, i].name}",
mode="lines",
x=df_ta.index,
y=df_ta.iloc[:, i].values,
opacity=1,
),
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_ma.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: Moving Average {ma_mode.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
def cci_command(
ticker: str = "",
interval: int = 15,
past_days: int = 0,
length="14",
scalar="0.015",
start="",
end="",
extended_hours: bool = False,
heikin_candles: bool = False,
news: bool = False,
):
"""Displays chart with commodity channel index [Yahoo Finance]"""
# Debug
if imps.DEBUG:
logger.debug(
"ta cci %s %s %s %s %s %s %s %s %s %s",
ticker,
interval,
past_days,
length,
scalar,
start,
end,
extended_hours,
heikin_candles,
news,
)
# Check for argument
if ticker == "":
raise Exception("Stock ticker is required")
# 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")
# pylint
try:
length = int(length)
except ValueError as e:
raise Exception("Length has to be an integer") from e
try:
scalar = float(scalar)
except ValueError as e:
raise Exception("Scalar has to be an integer") from e
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
if df_ta.empty:
raise Exception("No Data Found")
ta_data = momentum_model.cci(
df_ta["High"], df_ta["Low"], df_ta["Adj Close"], length, scalar
)
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,
rows=2,
cols=1,
shared_xaxes=True,
vertical_spacing=0.07,
row_width=[0.4, 0.6],
specs=[[{"secondary_y": True}], [{"secondary_y": False}]],
)
title = f"<b>{plot['plt_title']} Commodity-Channel-Index</b>"
fig = plot["fig"]
ta_values = (
df_ta.iloc[:, 6].values if interval != 1440 else df_ta.iloc[:, 11].values
)
dmin = ta_values.min()
dmax = ta_values.max()
fig.add_trace(
go.Scatter(
name=f"CCI ({length}) ({scalar})",
mode="lines",
x=df_ta.index,
y=ta_values,
opacity=1,
),
row=2,
col=1,
)
fig.add_hrect(
y0=100,
y1=dmax,
fillcolor="red",
opacity=0.2,
layer="below",
line_width=0,
row=2,
col=1,
)
fig.add_hrect(
y0=-100,
y1=dmin,
fillcolor="green",
opacity=0.2,
layer="below",
line_width=0,
row=2,
col=1,
)
fig.add_hline(
y=-100,
fillcolor="green",
opacity=1,
layer="below",
line_width=3,
line=dict(color="green", dash="dash"),
row=2,
col=1,
)
fig.add_hline(
y=100,
fillcolor="red",
opacity=1,
layer="below",
line_width=3,
line=dict(color="red", dash="dash"),
row=2,
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=0.02,
title_font_size=14,
dragmode="pan",
)
imagefile = "ta_cci.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: Commodity-Channel-Index {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}
