Files
OpenBB/bots/stocks/technical_analysis/kc.py
teh_coderer 50cafd500e Discord bot massive improvement (#1481)
* allow logs feature flag

* Adding log collection md

* upload last log at startup

* additions/refractor

* refactor

* lint/black ++

* disc

* TimeRotating Logger and upload to s3

* corrected regex error

* makeup for config

* logging/disc/sia/etf/++

* append .log before uploading

* process to upload logs to s3

* candle ta/etfmcds

* fix

* ta candles

* implement presignedURL

* fixed regex

* ma's in 1 cmd, delete older files

* refactor ta candle

* updates

* black

* moon?

* Logger uploader

* rotate every hour

* only archive if successful

* chavis suggestions

* windows

* ta

* commands_dict update

* discord tacmds

* log_collection error fix

* fix

* fix

* pylint

* bb fix

* only log filesize

* fixes

* discord logs

* Delete log_collection.md

* fixes for other bots on images

* bots image upload fix

* updated helpers/load candle

* more ta cc/housekeeping/refactors/slashcmds

* update bots cmds_dict

* adjustments to font size/fixes

* test fixs/disc earnings

* missed a spot

* fixes had > revesred

* reversed the >< again oops

* remove logger branch code blocking tests

* black fix

* fix missing sources in docstr/daily candle dt tz

* load_candle refactor with docstring

* moved insiders to disc

* Lucas logging changes

* Fixing log_collection.md

* testing scenario

* more ta converted

* more ta

* Update config_terminal : remove print of verbosity

* table cfg/fix matplt/ screener +

* fix

* what's sleep? 1 more line.. or 2. scr df2img

* juan more. fix news 1m chart issue

* ticker.upper() fixes

* Update log collection

* Updating log collection - change tmp folder

Co-authored-by: LBolte29 <lbolte@gmx.net>
Co-authored-by: Chavithra PARANA <chavithra@gmail.com>
Co-authored-by: LBolte29 <97528701+LBolte29@users.noreply.github.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
2022-03-16 10:21:27 +00:00

181 lines
4.3 KiB
Python

import logging
import plotly.graph_objects as go
import bots.config_discordbot as cfg
from bots import helpers, load_candle
from gamestonk_terminal.common.technical_analysis import volatility_model
from gamestonk_terminal.decorators import log_start_end
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
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 cfg.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:
return Exception("No Data Found")
df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
if df_ta.empty:
return 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)]
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"{plot['plt_title']} Keltner Channels ({ma_mode.upper()})"
fig = plot["fig"]
fig.add_trace(
go.Scatter(
name="upper",
x=df_ta.index,
y=df_ta[f"KCUs_{length}_{scalar}"],
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[f"KCLs_{length}_{scalar}"],
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[f"KCBs_{length}_{scalar}"],
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=cfg.PLT_TA_STYLE_TEMPLATE,
colorway=cfg.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 cfg.INTERACTIVE:
plt_link = helpers.inter_chart(fig, imagefile, callback=False)
fig.update_layout(
width=800,
height=500,
)
imagefile = helpers.image_border(imagefile, fig=fig)
return {
"title": f"Stocks: Keltner-Channel {ticker.upper()}",
"description": plt_link,
"imagefile": imagefile,
}