Can someone help me solve this programming problem?

[SuchUmami]

Here is what I've currently got:

import pandas as pd


def detect_trend_change(data, threshold=10):
    trend_dataframes = []
    trend = None
    trend_sum = 0
    trend_points = []


    for i in range(1, len(data)):
        change_percent = 100 * (data[i] - data[i-1]) / data[i-1]
        current_trend = 'Uptrend' if change_percent > 0 else 'Downtrend'

        if trend is None:
            trend = current_trend
            trend_points.append(data[i-1])


        if current_trend == trend:
            trend_sum += abs(change_percent)
            trend_points.append(data[i])
        else:
            if abs(trend_sum) >= threshold:
                df = pd.DataFrame({'Value': trend_points, 'Trend': trend})
                trend_dataframes.append(df)
                trend_points = [data[i-1], data[i]]
                trend_sum = abs(change_percent)
                trend = current_trend
            else:
                trend_sum += abs(change_percent)
                trend_points.append(data[i])


    # Add the last trend
    if trend_points:
        df = pd.DataFrame({'Value': trend_points, 'Trend': trend})
        trend_dataframes.append(df)


    return trend_dataframes


# Provided dataset
dataset = [100, 99, 90, 79, 62, 94, 88, 75, 80, 72, 74, 87, 84, 90]


# Call the function with the dataset
resulting_dataframes = detect_trend_change(dataset)


# Print the resulting dataframes
for idx, df in enumerate(resulting_dataframes, 1):
    print(f"DataFrame {idx}:\n{df}\n")

However, it's coming out as:

DataFrame 1:
Value Trend
0 100 Downtrend
1 99 Downtrend
2 90 Downtrend
3 79 Downtrend
4 62 Downtrend

DataFrame 2:
Value Trend
0 62 Uptrend
1 94 Uptrend

DataFrame 3:
Value Trend
0 94 Downtrend
1 88 Downtrend
2 75 Downtrend

DataFrame 4:
Value Trend
0 75 Uptrend
1 80 Uptrend
2 72 Uptrend
3 74 Uptrend
4 87 Uptrend

DataFrame 5:
Value Trend
0 87 Downtrend
1 84 Downtrend
2 90 Downtrend


The errors start at dataframe 3, where it should have gone down to 72 because there was no 10% upmove to invalidate it. Then it should have went from 72 to 90 as an uptrend.