Nice post! I’ve been using yfinance for mutual fund percent change tracking too, and it’s been pretty straightforward. One thing I’d add is to consider using `pandas` for more advanced data manipulation.
For example, you can calculate the cumulative percent change over time:
```python
data['Cumulative_Change'] = (data['Close'] - data['Close'].iloc[0]) / data['Close'].iloc[0] * 100
```
Super helpful for long-term tracking!
For example, you can calculate the cumulative percent change over time:
```python
data['Cumulative_Change'] = (data['Close'] - data['Close'].iloc[0]) / data['Close'].iloc[0] * 100
```
Super helpful for long-term tracking!
