This project uses Python and ARIMA (via pmdarima) to forecast the State Bank of Pakistan (SBP) policy rate.
- Input: Monthly SBP policy rate dataset (
data/sample.csv). - Method: Auto-ARIMA model selection (AIC-based).
- Output: Forecast for the next 10 months.
python -m venv .venv
source .venv/bin/activate # Linux/Mac
.venv\Scripts\activate # Windows
pip install -r requirements.txt
python src/forecast.py