mirror of
https://github.com/OpenBB-finance/OpenBB.git
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eea170bdda
* First commit * Baby steps * Keys and sdk * Fix import for api key * Add SDK endpoints * Test + api checks * tests * roque print of api key * Changes * minor * custom timeout * improve timeouts --------- Co-authored-by: hjoaquim <h.joaquim@campus.fct.unl.pt>
119 lines
3.5 KiB
Python
119 lines
3.5 KiB
Python
"""DataBento view"""
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__docformat__ = "numpy"
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import os
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from typing import List, Optional
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import mplfinance as mpf
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from matplotlib import pyplot as plt
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from openbb_terminal.config_terminal import theme
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from openbb_terminal.helper_funcs import (
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export_data,
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is_valid_axes_count,
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lambda_long_number_format_y_axis,
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plot_autoscale,
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print_rich_table,
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)
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from openbb_terminal.rich_config import console
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from openbb_terminal.stocks import databento_model
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def display_historical(
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symbol: str,
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start_date: Optional[str] = None,
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end_date: Optional[str] = None,
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raw: bool = False,
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export: str = "",
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sheet_name: Optional[str] = None,
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external_axes: Optional[List[plt.Axes]] = None,
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):
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"""Display historical futures [Source: DataBento]
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Parameters
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----------
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symbol: List[str]
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Symbol to display
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start_date: Optional[str]
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Start date of the historical data with format YYYY-MM-DD
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end_date: Optional[str]
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End date of the historical data with format YYYY-MM-DD
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raw: bool
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Display futures timeseries in raw format
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sheet_name: str
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Optionally specify the name of the sheet the data is exported to.
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export: str
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Type of format to export data
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external_axes : Optional[List[plt.Axes]], optional
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External axes (1 axis is expected in the list), by default None
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"""
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data = databento_model.get_historical_futures(
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symbol.upper(), start_date=start_date, end_date=end_date
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)
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if data.empty:
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console.print(f"No data found for {symbol}.")
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return
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# We check if there's Volume data to avoid errors and empty subplots
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has_volume = False
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if "Volume" in data.columns:
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has_volume = bool(data["Volume"].sum() > 0)
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candle_chart_kwargs = {
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"type": "candle",
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"style": theme.mpf_style,
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"volume": has_volume,
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"addplot": [],
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"xrotation": theme.xticks_rotation,
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"scale_padding": {"left": 0.3, "right": 1, "top": 0.8, "bottom": 0.8},
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"update_width_config": {
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"candle_linewidth": 0.6,
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"candle_width": 0.8,
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"volume_linewidth": 0.8,
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"volume_width": 0.8,
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},
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"warn_too_much_data": 10000,
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}
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if external_axes is None:
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candle_chart_kwargs["returnfig"] = True
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candle_chart_kwargs["figratio"] = (10, 7)
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candle_chart_kwargs["figscale"] = 1.10
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candle_chart_kwargs["figsize"] = plot_autoscale()
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candle_chart_kwargs["warn_too_much_data"] = 100_000
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fig, ax = mpf.plot(data, **candle_chart_kwargs)
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if has_volume:
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lambda_long_number_format_y_axis(data, "Volume", ax)
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fig.suptitle(
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f"{symbol}",
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x=0.055,
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y=0.965,
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horizontalalignment="left",
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)
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theme.visualize_output(force_tight_layout=False)
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elif (has_volume and is_valid_axes_count(external_axes, 2)) or (
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not has_volume and is_valid_axes_count(external_axes, 1)
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):
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candle_chart_kwargs["ax"] = external_axes[0]
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if has_volume:
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candle_chart_kwargs["volume"] = external_axes[1]
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mpf.plot(data, **candle_chart_kwargs)
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if raw:
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print_rich_table(
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data,
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headers=list(data.columns),
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show_index=True,
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title="Futures timeseries",
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)
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console.print()
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export_data(
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export,
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os.path.dirname(os.path.abspath(__file__)),
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"historical_db",
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data,
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sheet_name,
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)
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