from datetime import datetime, timedelta import plotly.graph_objects as go from plotly.subplots import make_subplots import bots.config_discordbot as cfg from bots.config_discordbot import logger from bots import helpers from gamestonk_terminal.common.technical_analysis import trend_indicators_model def adx_command(ticker="", length="14", scalar="100", drift="1", start="", end=""): """Displays chart with average directional movement index [Yahoo Finance]""" # Debug if cfg.DEBUG: # pylint: disable=logging-too-many-args logger.debug( "ta-adx %s %s %s %s %s", ticker, length, scalar, drift, 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 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) 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 = trend_indicators_model.adx( df_stock["High"], df_stock["Low"], df_stock["Adj Close"], length, scalar, drift, ) # Output Data leg_adx = df_ta.columns[0].replace("_", " ") neg_di = df_ta.columns[1].replace("_", " ") pos_di = df_ta.columns[2].replace("_", " ") fig = make_subplots( rows=2, cols=1, shared_xaxes=True, vertical_spacing=0.07, row_width=[0.5, 0.5], ) fig.add_trace( go.Scatter( name=ticker, x=df_stock.index, y=df_stock["Adj Close"].values, line=dict(color="#fdc708", width=2), opacity=1, ), row=1, col=1, ) fig.add_trace( go.Scatter( mode="lines", name=f"ADX ({leg_adx})", x=df_ta.index, y=df_ta.iloc[:, 0].values, opacity=1, line=dict(width=2), ), row=2, col=1, ) fig.add_trace( go.Scatter( mode="lines", name=f"+DI ({pos_di})", x=df_ta.index, y=df_ta.iloc[:, 1].values, opacity=1, line=dict(width=1), ), row=2, col=1, ) fig.add_trace( go.Scatter( mode="lines", name=f"- DI ({neg_di})", x=df_ta.index, y=df_ta.iloc[:, 2].values, opacity=1, line=dict(width=1), ), 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=20, t=30, b=20), template=cfg.PLT_TA_STYLE_TEMPLATE, colorway=cfg.PLT_TA_COLORWAY, title=f"Average Directional Movement Index (ADX) on {ticker}", title_x=0.3, yaxis_title="Stock Price ($)", yaxis=dict( fixedrange=False, ), xaxis=dict( rangeslider=dict(visible=False), type="date", ), dragmode="pan", legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1), ) config = dict({"scrollZoom": True}) imagefile = "ta_adx.png" # Check if interactive settings are enabled plt_link = "" if cfg.INTERACTIVE: html_ran = helpers.uuid_get() fig.write_html(f"in/adx_{html_ran}.html", config=config) plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/adx_{html_ran}.html)" fig.update_layout( width=800, height=500, ) imagefile = helpers.image_border(imagefile, fig=fig) return { "title": f"Stocks: Average-Directional-Movement-Index {ticker}", "description": plt_link, "imagefile": imagefile, }