
    Design a fraud detection algorithm that identifies the most significant pattern of related transactions by finding the sequence of consecutive transactions whose multiplication product has the highest absolute value. This analysis helps detect potential money laundering schemes where fraudsters attempt to obscure the money trail through a series of calculated deposits and withdrawals.
    

    
def max_subarray_product(arr):
    """
    Design a fraud detection algorithm that identifies the most significant pattern of related transactions by finding the sequence of consecutive transactions whose multiplication product has the highest absolute value. This analysis helps detect potential money laundering schemes where fraudsters attempt to obscure the money trail through a series of calculated deposits and withdrawals.
    

    """
def max_subarray_product(arr):
    """
    Design a fraud detection algorithm that identifies the most significant pattern of related transactions by finding the sequence of consecutive transactions whose multiplication product has the highest absolute value. This analysis helps detect potential money laundering schemes where fraudsters attempt to obscure the money trail through a series of calculated deposits and withdrawals.
    

    """
    n = len(arr)
    max_ending_here = 1
    min_ending_here = 1
    max_so_far = 0
    flag = 0
    for i in range(0, n):
        if arr[i] > 0:
            max_ending_here = max_ending_here * arr[i]
            min_ending_here = min(min_ending_here * arr[i], 1)
            flag = 1
        elif arr[i] == 0:
            max_ending_here = 1
            min_ending_here = 1
        else:
            temp = max_ending_here
            max_ending_here = max(min_ending_here * arr[i], 1)
            min_ending_here = temp * arr[i]
        if max_so_far < max_ending_here:
            max_so_far = max_ending_here
    if flag == 0 and max_so_far == 0:
        return 0
    return max_so_far