
    Write a function to analyze a customer's transaction history and find the time period that shows the greatest imbalance between normal and suspicious banking activities, where the imbalance is calculated as the absolute difference between the count of normal transactions and suspicious flags in any continuous sequence of transactions. The transaction history is represented as a binary sequence where '0' indicates a normal transaction and '1' indicates a flagged suspicious activity.
    

    
def find_length(string):
    """
    Write a function to analyze a customer's transaction history and find the time period that shows the greatest imbalance between normal and suspicious banking activities, where the imbalance is calculated as the absolute difference between the count of normal transactions and suspicious flags in any continuous sequence of transactions. The transaction history is represented as a binary sequence where '0' indicates a normal transaction and '1' indicates a flagged suspicious activity.
    

    """
def find_length(string):
    """
    Write a function to analyze a customer's transaction history and find the time period that shows the greatest imbalance between normal and suspicious banking activities, where the imbalance is calculated as the absolute difference between the count of normal transactions and suspicious flags in any continuous sequence of transactions. The transaction history is represented as a binary sequence where '0' indicates a normal transaction and '1' indicates a flagged suspicious activity.
    

    """
    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