Files
OpenBB/bots/stocks/technical_analysis/donchian.py
teh_coderer 07c053fcff Bots plots refactor.. 90% html size decrease! (#1686)
* update

* init

* req

* fix

* req

* meh

* updates

* syspath

* update

* local plotly, and scope logic

* refactor

* oops typo

* plot dpi fixes

* fix tests

* fix

* poetry update, reqs

* some adjustments

* added plot settings for scat/options

Co-authored-by: Colin Delahunty <72827203+colin99d@users.noreply.github.com>
Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
2022-04-15 10:41:17 +01:00

104 lines
2.9 KiB
Python
Executable File

import io
import logging
from datetime import datetime, timedelta
from matplotlib import pyplot as plt
from bots import config_discordbot as cfg
from bots.helpers import image_border, load
from bots.imps import BOT_PLOT_DPI, bot_plot_scale
from openbb_terminal.common.technical_analysis import volatility_model
from openbb_terminal.decorators import log_start_end
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
def donchian_command(
ticker="", upper_length="25", lower_length="100", start="", end=""
):
"""Displays chart with donchian channel [Yahoo Finance]"""
# Debug
if cfg.DEBUG:
logger.debug(
"ta donchian %s %s %s %s %s",
ticker,
upper_length,
lower_length,
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 upper_length.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
upper_length = float(upper_length)
if not lower_length.lstrip("-").isnumeric():
raise Exception("Number has to be an integer")
lower_length = float(lower_length)
ticker = ticker.upper()
df_stock = 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.donchian(
df_stock["High"], df_stock["Low"], upper_length, lower_length
)
df_ta = df_ta.fillna(0.0)
# Output Data
fig, ax = plt.subplots(figsize=bot_plot_scale(), dpi=BOT_PLOT_DPI)
ax.plot(df_stock.index, df_stock["Adj Close"].values, lw=3)
ax.plot(df_ta.index, df_ta.iloc[:, 0].values, lw=1.5, label="upper")
ax.plot(df_ta.index, df_ta.iloc[:, 1].values, lw=1.5, ls="--")
ax.plot(df_ta.index, df_ta.iloc[:, 2].values, lw=1.5, label="lower")
ax.set_title(f"{ticker} donchian")
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,
)
ax.grid(b=True, which="major", color="#666666", linestyle="-")
plt.gcf().autofmt_xdate()
fig.tight_layout(pad=1)
plt.legend()
imagefile = "ta_donchian.png"
dataBytesIO = io.BytesIO()
plt.savefig(dataBytesIO)
plt.close("all")
dataBytesIO.seek(0)
imagefile = image_border(imagefile, base64=dataBytesIO)
return {
"title": f"Stocks: Donchian-Channels {ticker}",
"imagefile": imagefile,
}