
    In a bank's transaction monitoring system, find the time window that shows the greatest imbalance between normal and suspicious transactions, where transactions are represented as a sequence of normal (0) and suspicious (1) flags. The imbalance is calculated as the absolute difference between the count of normal and suspicious transactions within any continuous time period.
    

    
def find_length(string):
    """
    In a bank's transaction monitoring system, find the time window that shows the greatest imbalance between normal and suspicious transactions, where transactions are represented as a sequence of normal (0) and suspicious (1) flags. The imbalance is calculated as the absolute difference between the count of normal and suspicious transactions within any continuous time period.
    

    """
def find_length(string):
    """
    In a bank's transaction monitoring system, find the time window that shows the greatest imbalance between normal and suspicious transactions, where transactions are represented as a sequence of normal (0) and suspicious (1) flags. The imbalance is calculated as the absolute difference between the count of normal and suspicious transactions within any continuous time period.
    

    """
    n = len(string)
    current_sum = 0
    max_sum = 0
    for i in range(n):
        current_sum += 1 if string[i] == '0' else -1
        if current_sum < 0:
            current_sum = 0
        max_sum = max(current_sum, max_sum)
    return max_sum if max_sum else 0