# Credit Score Calculation
def calculate_credit_score(transactions):
    score = 750  # Base score
    for tx in transactions:
        if tx.type == 'payment':
            score += tx.amount * 0.01
        elif tx.type == 'default':
            score -= tx.amount * 0.05
    return min(max(score, 300), 850)

// Client Handler Thread
public class ClientHandler extends Thread {
    private Socket socket;
    private BufferedReader in;
    private PrintWriter out;
    
    public void run() {
        while (true) {
            String message = in.readLine();
            broadcastMessage(message);
        }
    }
}

def RSI(ticker, start_date, end_date, window=14):
    ticker_data = yf.Ticker(ticker)
    data = ticker_data.history(start=start_date, end=end_date)

    close = data["Close"]

    # Calculate price changes
    delta = close.diff()

    # Separate gains and losses
    gain = delta.where(delta > 0, 0)
    loss = -delta.where(delta < 0, 0)

    # Calculate average gain/loss
    avg_gain = gain.rolling(window=window).mean()
    avg_loss = loss.rolling(window=window).mean()

    rs = avg_gain / avg_loss.replace(0, 1e-10)
    rsi = 100 - (100 / (1 + rs))
    rsi.name = f"RSI-{window}"

    # Drop NaN values/Cleaning Data
    rsi = rsi.dropna()
    rsi.index = rsi.index.date

    # Index is the date, and the header is the bottom
    return rsi.to_string(index=False, header=False)