Files
OpenBB/openbb_terminal/stocks/technical_analysis/tradingview_model.py
Henrique Joaquim b5e807b188 Fix stocks bugs (#3039)
* fix conversion error str to float by replacing commas in numeric columns

* fix conversion error str to float by replacing commas in numeric columns

* adds -d as default arg if a date is provided

* fixe order of parameters

* fixed the check on the emptiness of the trading view recommendation

* added more screeners

* changed if in order to avoid result used before assignment exception

Co-authored-by: James Maslek <jmaslek11@gmail.com>
2022-10-26 13:36:55 +01:00

120 lines
3.1 KiB
Python

"""Tradingview model"""
__docformat__ = "numpy"
import logging
import pandas as pd
import requests
from tradingview_ta import TA_Handler
from openbb_terminal import config_terminal as cfg
from openbb_terminal.decorators import log_start_end
logger = logging.getLogger(__name__)
INTERVALS = {
"1m": "1 min",
"5m": "5 min",
"15m": "15 min",
"1h": "1 hour",
"4h": "4 hours",
"1d": "1 day",
"1W": "1 week",
"1M": "1 month",
}
SCREENERS = [
"australia",
"brazil",
"cfd",
"crypto",
"euronext",
"forex",
"france",
"germany",
"hongkong",
"india",
"indonesia",
"malaysia",
"philippines",
"russia",
"ksa",
"rsa",
"korea",
"spain",
"sweden",
"taiwan",
"thailand",
"turkey",
"uk",
"america",
"vietnam",
]
@log_start_end(log=logger)
def get_tradingview_recommendation(
symbol: str, screener: str = "america", exchange: str = "", interval: str = ""
) -> pd.DataFrame:
"""Get tradingview recommendation based on technical indicators
Parameters
----------
symbol : str
Ticker symbol to get the recommendation from tradingview based on technical indicators
screener : str
Screener based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
exchange: str
Exchange based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
interval: str
Interval time to check technical indicators and correspondent recommendation
Returns
-------
df_recommendation: pd.DataFrame
Dataframe of tradingview recommendations based on technical indicators
"""
if not exchange:
s_req = f"https://www.alphavantage.co/query?function=OVERVIEW&symbol={symbol}&apikey={cfg.API_KEY_ALPHAVANTAGE}"
result = requests.get(s_req, stream=True)
data = result.json()
if not data:
return pd.DataFrame()
exchange = data["Exchange"]
if interval:
intervals = [interval]
else:
intervals = ["1M", "1W", "1d", "4h", "1h", "15m", "5m", "1m"]
df_recommendation = pd.DataFrame()
index_recommendation = []
for an_interval in intervals:
if exchange:
stock_recommendation = TA_Handler(
symbol=symbol,
screener=screener,
exchange=exchange,
interval=an_interval,
)
d_recommendation = stock_recommendation.get_analysis().summary
df_recommendation = pd.concat(
[
pd.DataFrame.from_dict(d_recommendation, orient="index").T,
df_recommendation,
],
axis=0,
)
index_recommendation.append(INTERVALS[an_interval])
df_recommendation.index = index_recommendation
df_recommendation[["BUY", "NEUTRAL", "SELL"]] = df_recommendation[
["BUY", "NEUTRAL", "SELL"]
].astype(int)
df_recommendation.index.name = "Interval"
return df_recommendation