(Help) Spread Bot BTC/USDC and BTC/USDC

GetOrderbookAsk 
return btc_usdc_data, btc_usdt_data
DefineCommand def extract_prices(json_data):
# Function to extract current prices from JSON data
def extract_prices(json_data):
    btc_price = json_data["BTC_price"]
    usd_price = json_data["USD_price"]
    current_price = btc_price / usd_price
    return current_price

# Function to calculate percentage spread between two prices
def calculate_spread(price1, price2):
    spread_percentage = abs((price1 - price2) / ((price1 + price2) / 2)) * 100
    return spread_percentage

# Function to retrieve CSV data for historical price data of BTC/USDC and BTC/USDT pairs
def get_csv_data():
    btc_usdc_data = []
    btc_usdt_data = []
    
    with open('btc_usdc.csv', 'r') as file:
        reader = csv.reader(file)
        for row in reader:
            btc_usdc_data.append(float(row[1]))

    with open('btc_usdt.csv', 'r') as file:
        reader = csv.reader(file)
        for row in reader:
            btc_usdt_data.append(float(row[1]))

    return btc_usdc_data, btc_usdt_data

# Function to analyze historical data
def analyze_historical_data(data):
    # Implement your analysis logic here
    pass

# Function for trading logic
def trading_logic(spread_percentage, threshold):
    if spread_percentage > threshold:
        # Execute buy and sell orders
        # Adjust trading strategy based on market conditions
        pass
    else:
        print("Spread is not favorable for trading.")

# Main function
def main():
    # Retrieve JSON data
    btc_usdc_data, btc_usdt_data = get_json_data()

    # Extract current prices
    btc_usdc_price = extract_prices(btc_usdc_data)
    btc_usdt_price = extract_prices(btc_usdt_data)

    # Calculate percentage spread
    spread_percentage = calculate_spread(btc_usdc_price, btc_usdt_price)

    # Set threshold for trading
    threshold = .5  # .5% spread threshold

    # Execute trading logic
    trading_logic(spread_percentage, threshold)

if DoBuy == "(.5, .5)": DoBuy