Python-based ARIMA trading strategy tool for SPY (S&P 500 ETF) with Auto-ARIMA tuning, confidence-based signals, and multi-source data (Yahoo, FRED, Alpha Vantage). Includes full backtesting with realistic costs and detailed performance metrics like Sharpe Ratio and Max Drawdown.
An award-winning solution proposal for optimizing vertiport site selection in Urban Air Mobility (UAM) using multi-source data analysis and platform logic design. Recognized at the 9th Hyundai Motors University Case Competition.
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