def can_find_good_subarray_length(financialMetrics, limit, length):
    # Check if there is a valid subarray of the given length
    n = len(financialMetrics)
    if length > n:
        return False
    threshold = limit / length

    # Sliding window approach to check validity
    current_valid_count = 0
    for i in range(n):
        if financialMetrics[i] > threshold:
            current_valid_count += 1
        else:
            current_valid_count = 0

        if current_valid_count >= length:
            return True

    return False

def find_max_good_subarray_length(financialMetrics, limit):
    n = len(financialMetrics)
    low, high = 1, n
    max_len = -1

    while low <= high:
        mid = (low + high) // 2
        if can_find_good_subarray_length(financialMetrics, limit, mid):
            max_len = mid
            low = mid + 1
        else:
            high = mid - 1

    return max_len

# Example usage
n = 5
limit = 6
financialMetrics = [1, 3, 4, 3, 1]
print(find_max_good_subarray_length(financialMetrics, limit))  # Output: 2