Quant Natural Gas Price Estimator

Built a natural gas price estimator in Python for the JPMorgan Chase Quantitative Research Forage simulation task 1. The program loads historical monthly price data, visualizes it to identify seasonal trends (winter peaks, summer dips), and implements an estimate_price(date) function that uses linear interpolation for historical dates and linear regression for forecasting future prices up to a year beyond the dataset. The most challenging part was understanding how to switch between interpolation and forecasting depending on whether the input date was within or outside the historical range. To test it, run hello_world.py and enter any date in YYYY-MM-DD format when prompted!