This data science project aims to forecast asset volatility using time series analysis and subsequently optimize trading strategies based on the forecasted volatility. Volatility is a critical factor in risk assessment and trading decisions. Steps in the project will require data collection and cleaning, time series analysis, forecasting volatility, developing trading strategies which leverage the forecasted volatility, and evaluating and adjusting strategies.