February 2026 performance snapshot for Nixtla/statsforecast: Delivered a Simulation-based Sample Trajectory Generator for Time Series Forecasting, enabling the generation of multiple plausible future paths from fitted models to support scenario analysis and risk assessment. No major bugs fixed this month. Overall impact: enhanced forecasting analytics and decision support by enabling robust scenario testing across potential futures. Technologies demonstrated include Python-based time series modeling, simulation techniques, and disciplined change management as evidenced by targeted feature work and PR #1072.