Applied time series models: Naïve, Seasonal Naïve, Linear Regression, ARIMA, and Neural Nets to forecast NYC daily high temperatures. Assessed whether Polymarket’s implied probabilities align with actual outcomes, exploring opportunities for informed traders to profit from pricing inefficiencies.
☆16May 16, 2025Updated last year
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