value-at-risk - Question and answers

I'm working with historical data and using the parametric VaR method in Python. I've calculated the standard deviation and assumed normal distribution, but when I compare the VaR estimates with actual losses, there's a significant mismatch. I've already checked for data quality issues and ensured proper scaling, but the problem persists. What specific steps should I take to improve accuracy?