Files
OpenBB/openbb_terminal/stocks/options/alphaquery_model.py
jmaslek b71abcfbf4 Updating some names (#1575)
* 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>
2022-03-29 09:46:26 -04:00

49 lines
1.4 KiB
Python

"""AlphaQuery Model"""
__docformat__ = "numpy"
import logging
from datetime import datetime, timedelta
import pandas as pd
import requests
from openbb_terminal.decorators import log_start_end
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
def get_put_call_ratio(
ticker: str,
window: int = 30,
start_date: str = (datetime.now() - timedelta(days=366)).strftime("%Y-%m-%d"),
) -> pd.DataFrame:
"""Gets put call ratio over last time window [Source: AlphaQuery.com]
Parameters
----------
ticker : str
Ticker to look for
window : int, optional
Window to consider, by default 30
start_date : str, optional
Start date to plot, by default last 366 days
"""
url = f"https://www.alphaquery.com/data/option-statistic-chart?ticker={ticker}\
&perType={window}-Day&identifier=put-call-ratio-volume"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) \
Chrome/70.0.3538.77 Safari/537.36"
}
r = requests.get(url, headers=headers)
if r.status_code != 200:
return pd.DataFrame()
pcr = pd.DataFrame.from_dict(r.json())
pcr.rename(columns={"x": "Date", "value": "PCR"}, inplace=True)
pcr.set_index("Date", inplace=True)
pcr.index = pd.to_datetime(pcr.index).tz_localize(None)
return pcr[pcr.index > start_date]