mirror of
https://github.com/OpenBB-finance/OpenBB.git
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* 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>
171 lines
4.3 KiB
Python
Executable File
171 lines
4.3 KiB
Python
Executable File
import logging
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import plotly.graph_objects as go
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from bots import imps, load_candle
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from openbb_terminal.common.technical_analysis import momentum_model
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from openbb_terminal.decorators import log_start_end
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logger = logging.getLogger(__name__)
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# pylint: disable=R0913
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@log_start_end(log=logger)
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def macd_command(
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ticker="",
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interval: int = 15,
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past_days: int = 0,
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fast="12",
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slow="26",
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signal="9",
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start="",
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end="",
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extended_hours: bool = False,
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heikin_candles: bool = False,
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trendline: bool = False,
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news: bool = False,
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):
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"""Displays chart with moving average convergence/divergence [Yahoo Finance]"""
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# Debug
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if imps.DEBUG:
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# pylint: disable=logging-too-many-args
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logger.debug(
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"ta macd %s %s %s %s %s %s %s %s %s %s %s %s",
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ticker,
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interval,
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past_days,
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fast,
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slow,
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signal,
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start,
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end,
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extended_hours,
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heikin_candles,
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trendline,
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news,
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)
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# Check for argument
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if ticker == "":
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raise Exception("Stock ticker is required")
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# Retrieve Data
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df_stock, start, end, bar_start = load_candle.stock_data(
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ticker=ticker,
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interval=interval,
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past_days=past_days,
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extended_hours=extended_hours,
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start=start,
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end=end,
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heikin_candles=heikin_candles,
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)
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if df_stock.empty:
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raise Exception("No Data Found")
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if not fast.lstrip("-").isnumeric():
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raise Exception("Number has to be an integer")
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fast = int(fast)
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if not slow.lstrip("-").isnumeric():
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raise Exception("Number has to be an integer")
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slow = int(slow)
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if not signal.lstrip("-").isnumeric():
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raise Exception("Number has to be an integer")
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signal = int(signal)
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df_ta = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]
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if df_ta.empty:
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raise Exception("No Data Found")
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ta_data = momentum_model.macd(df_stock["Adj Close"], fast, slow, signal)
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df_ta = df_ta.join(ta_data)
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# Output Data
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if interval != 1440:
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df_ta = df_ta.loc[(df_ta.index >= bar_start) & (df_ta.index < end)]
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df_ta = df_ta.fillna(0.0)
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plot = load_candle.candle_fig(
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df_ta,
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ticker,
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interval,
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extended_hours,
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news,
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bar=bar_start,
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int_bar=interval,
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trendline=trendline,
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rows=2,
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cols=1,
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shared_xaxes=True,
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vertical_spacing=0.05,
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row_width=[0.3, 0.7],
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specs=[[{"secondary_y": True}], [{"secondary_y": False}]],
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)
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title = f"<b>{plot['plt_title']} MACD {fast} {slow} {signal}</b>"
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fig = plot["fig"]
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idx = 6 if (not trendline) and (interval != 1440) else 11
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fig.add_trace(
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go.Bar(
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name="MACD Histogram",
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x=df_ta.index,
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y=df_ta.iloc[:, (idx + 1)].values,
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opacity=(plot["bar_opacity"] + 0.3),
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marker_color="#d81aea",
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),
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row=2,
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col=1,
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secondary_y=False,
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)
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fig.add_trace(
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go.Scatter(
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name="MACD Line",
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mode="lines",
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x=df_ta.index,
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y=df_ta.iloc[:, idx].values,
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opacity=0.8,
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line=dict(color="#00e6c3"),
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),
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row=2,
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col=1,
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secondary_y=False,
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)
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fig.add_trace(
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go.Scatter(
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name="Signal Line",
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mode="lines",
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x=df_ta.index,
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y=df_ta.iloc[:, (idx + 2)].values,
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opacity=1,
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line=dict(color="#9467bd"),
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),
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row=2,
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col=1,
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secondary_y=False,
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)
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fig.update_layout(
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margin=dict(l=0, r=0, t=50, b=20),
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template=imps.PLT_TA_STYLE_TEMPLATE,
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colorway=imps.PLT_TA_COLORWAY,
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title=title,
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title_x=0.02,
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title_font_size=14,
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dragmode="pan",
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)
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imagefile = "ta_macd.png"
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# Check if interactive settings are enabled
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plt_link = ""
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if imps.INTERACTIVE:
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plt_link = imps.inter_chart(fig, imagefile, callback=False)
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imagefile = imps.image_border(imagefile, fig=fig)
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return {
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"title": f"Stocks: Moving-Average-Convergence-Divergence {ticker.upper()}",
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"description": plt_link,
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"imagefile": imagefile,
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}
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