Time Series Analysis Keeps Pulling Me Into Quant Finance

Time series analysis keeps pulling me deeper into quant finance.

My current project uses fractional differentiation to insert signals at better precision when news data or social media sentiment proves useful for stock price prediction.

I'm adding weights to current stock price importance based on data enriched through sentiment analysis across financial news and social media.

The challenge is real. Several factors complicate this: • Seasonality, things change over time • Volatility, falls under white noise, hard to calculate, some algorithms help, some fail entirely • Market phases, I account for "bullish", "bearish", and "chop" periods separately, which helps adjust the weights attached to stock movements.

The end result feels satisfactory. The math is sound; the workflow is rigorous. More quant breakdowns coming. Follow if you want the details.