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b71abcfbf4
* quick econ fix * black * keys and feature flags * terminal name 👀 * some more replacements * some more replacements * edit pyproject * gst -> openbb * add example portfolios back to git * Update api from gst * sorry. skipping some tests * another round of names * another round of test edits * Missed some .gst refs and update timezone * water mark stuff * Fixing Names in terminal.spec and name of GTFF_DEFAULTS to OBBFF_DEFAULTS * fix more GST to OpenBB Terminal * Logging : merge conflicts with main * Revert wrong files Co-authored-by: Andrew <andrew.kenreich@gmail.com> Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt> Co-authored-by: Chavithra PARANA <chavithra@gmail.com>
69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
"""Chartexchange model"""
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__docformat__ = "numpy"
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import logging
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import pandas as pd
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import requests
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from bs4 import BeautifulSoup
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from openbb_terminal.decorators import log_start_end
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from openbb_terminal.helper_funcs import get_user_agent
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from openbb_terminal.rich_config import console
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from openbb_terminal.stocks.options.op_helpers import convert
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def get_option_history(ticker: str, date: str, call: bool, price: str) -> pd.DataFrame:
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"""Historic prices for a specific option [chartexchange]
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Parameters
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----------
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ticker : str
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Ticker to get historical data from
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date : str
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Date as a string YYYYMMDD
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call : bool
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Whether to show a call or a put
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price : str
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Strike price for a specific option
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Returns
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-------
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historical : pd.Dataframe
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Historic information for an option
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"""
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url = (
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f"https://chartexchange.com/symbol/opra-{ticker.lower()}{date.replace('-', '')}"
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)
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url += f"{'c' if call else 'p'}{float(price):g}/historical/"
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data = requests.get(url, headers={"User-Agent": get_user_agent()}).content
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soup = BeautifulSoup(data, "html.parser")
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table = soup.find("div", attrs={"style": "display: table; font-size: 0.9em; "})
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rows = table.find_all("div", attrs={"style": "display: table-row;"})
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clean_rows = []
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if rows:
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for row in rows[1:]:
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item = row.find_all("div")
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clean_rows.append([x.text for x in item])
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else:
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console.print("No data for this option\n")
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return pd.DataFrame()
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df = pd.DataFrame()
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df["Date"] = [x[0] for x in clean_rows]
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df["Open"] = [convert(x[2], ",") for x in clean_rows]
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df["High"] = [convert(x[3], ",") for x in clean_rows]
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df["Low"] = [convert(x[4], ",") for x in clean_rows]
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df["Close"] = [convert(x[5], ",") for x in clean_rows]
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df["Change"] = [convert(x[6], "%") for x in clean_rows]
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df["Volume"] = [convert(x[7], ",") for x in clean_rows]
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df["Open Interest"] = [convert(x[8], ",") for x in clean_rows]
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df["Change Since"] = [convert(x[9], "%") for x in clean_rows]
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return df
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