yourquant_rick on Instagram: "Time series models, like ARIMA, are a classic framework for analyzing sequential data. They assume stationarity and lack of correlation, which works well for sales forecasting but struggles in finance. Markets are highly non-stationary — factors like inflation, rising costs, and constant shifts in sentiment affect price behavior. Correlation between assets is often temporary and only strong in high-sentiment markets like crypto or tech. I often combine uncorrelated

दोनों संतरे की SIZE क्या है 🙈😜 #hungergamestiktok #zarooratrishta #shorts #viral #ai