OpenBB/gamestonk_terminal/technical_analysis/tradingview_view.py

import argparse
from typing import List
import requests
import pandas as pd
from gamestonk_terminal import config_terminal as cfg
from tradingview_ta import TA_Handler
from gamestonk_terminal.helper_funcs import (
    parse_known_args_and_warn,
)

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",
}


def get_tradingview_recommendation(
    ticker: str, screener: str, exchange: str, interval: str
) -> str:
    """Get tradingview recommendation based on technical indicators

    Parameters
    ----------
    ticker : str
        Ticker 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
    -------
    str
        tradingview recommendation based on technical indicators
    """

    if not exchange:
        s_req = f"https://www.alphavantage.co/query?function=OVERVIEW&symbol={ticker}&apikey={cfg.API_KEY_ALPHAVANTAGE}"
        result = requests.get(s_req, stream=True)
        exchange = result.json()["Exchange"]

    if not interval:
        df_recommendation = pd.DataFrame()
        index_recommendation = list()
        for interv in ["1M", "1W", "1d", "4h", "1h", "15m", "5m", "1m"]:
            # If the returned data was successful
            if result.status_code == 200:
                stock_recommendation = TA_Handler(
                    symbol=ticker,
                    screener=screener,
                    exchange=exchange,
                    interval=interv,
                )
                d_recommendation = stock_recommendation.get_analysis().summary
                df_recommendation = df_recommendation.append(
                    d_recommendation, ignore_index=True
                )
                index_recommendation.append(INTERVALS[interv])
            df_recommendation.index = index_recommendation
            df_recommendation[["BUY", "NEUTRAL", "SELL"]] = df_recommendation[
                ["BUY", "NEUTRAL", "SELL"]
            ].astype(int)
        df_recommendation["-----"] = "-----"
        df_recommendation.index.name = "Interval"
        recommendation = df_recommendation[
            ["RECOMMENDATION", "-----", "BUY", "NEUTRAL", "SELL"]
        ].to_string()

    else:
        stock_recommendation = TA_Handler(
            symbol=ticker, screener=screener, exchange=exchange, interval=interval
        )
        d_recommendation = stock_recommendation.get_analysis().summary
        recommendation = f"Interval: {INTERVALS[interval]}\n"
        recommendation += f"Recommendation: {d_recommendation['RECOMMENDATION']}\n"
        recommendation += f"{int(d_recommendation['BUY'])} BUY, {int(d_recommendation['NEUTRAL'])} NEUTRAL"
        recommendation += f", {int(d_recommendation['SELL'])} SELL"

    return recommendation


def print_recommendation(other_args: List[str], ticker: str):
    """Print tradingview recommendation based on technical indicators

    Parameters
    ----------
    other_args : List[str]
        Command line arguments to be processed with argparse
    ticker : str
        Ticker to get tradingview recommendation based on technical indicators
    """
    parser = argparse.ArgumentParser(
        add_help=False,
        prog="recom",
        description="""
            Print tradingview recommendation based on technical indicators.
            [Source: https://pypi.org/project/tradingview-ta/]
        """,
    )
    parser.add_argument(
        "-s",
        "--screener",
        action="store",
        dest="screener",
        type=str,
        default="america",
        choices=["crypto", "forex", "cfd"],
        help="Screener. See https://python-tradingview-ta.readthedocs.io/en/latest/usage.html",
    )
    parser.add_argument(
        "-e",
        "--exchange",
        action="store",
        dest="exchange",
        type=str,
        default="",
        help="""Set exchange. For Forex use: 'FX_IDC', and for crypto use 'TVC'.
        See https://python-tradingview-ta.readthedocs.io/en/latest/usage.html.
        By default Alpha Vantage tries to get this data from the ticker. """,
    )
    parser.add_argument(
        "-i",
        "--interval",
        action="store",
        dest="interval",
        type=str,
        default="",
        choices=["1M", "1W", "1d", "4h", "1h", "15m", "5m", "1m"],
        help="""Interval, that corresponds to the recommendation given by tradingview based on technical indicators.
         See https://python-tradingview-ta.readthedocs.io/en/latest/usage.html""",
    )

    try:
        ns_parser = parse_known_args_and_warn(parser, other_args)
        if not ns_parser:
            return

        recom = get_tradingview_recommendation(
            ticker, ns_parser.screener, ns_parser.exchange, ns_parser.interval
        )
        print(recom)
        print("")

    except Exception as e:
        print(e, "\n")