fbp_news_func.py

def getNews(ticker, days):
    """
    Retrieves financial news over the course of a specified number of days for
    a given stock ticker.
    """

    # List of news
    news = []
    
    # How many days back to retrieve
    ago = datetime.now() - timedelta(days=days)

    # Getting news over the course of a year
    for i in tqdm(range(20, days, 20)):
        
        # The date range to gather news
        date_range = [
            (ago+timedelta(days=i-20)).strftime("%Y-%m-%d"),
            (ago+timedelta(days=i)).strftime("%Y-%m-%d")
        ]

        # Grabbing the news
        resp = client.get_financial_news(
            s=ticker+".CC",
            from_=date_range[0],
            to=date_range[1],
            limit=100
        )

        # Adding to the news list
        news.extend(resp)
        
    # Full names of given cryptos (for the top cryptos right now)
    cc_name = {
        "btc": "bitcoin",
        "eth": "ethereum",
        "bnb": "binance",
        "usdt": "tether",
        "sol": "solana"
    }
    
    if ticker.lower() in cc_name:
        full_cc = cc_name[ticker.lower()]
    else:
        full_cc = None
                
    # Filtering out irrelevant news
    lst = [
        i for i in news if sum(x in {ticker.lower(), cc_name[ticker.lower()]} for x in nltk.word_tokenize(i['title'].lower()))>=1
    ]
    
    # Formatting the date
    news = pd.DataFrame(lst)
    
    news['date'] = news['date'].apply(
        lambda x: x[:10]
    )
    
    return news