docs/Sentiment1.md

Sentiment Momentum (Conceptual — PV Proxies Only)

Market sentiment can be inferred from collective price-volume behavior. When institutional players accumulate positions, volume tends to lead price; when they distribute, volume dries up before price falls. These dynamics are fully capturable using Price-Volume fields.

PV proxies for market sentiment:

• Accumulation vs. Distribution: ts_corr(close, volume, 10) — negative correlation signals distribution (smart money selling into price strength); positive correlation signals accumulation.
• Intraday Buying Pressure: (close - low) / (high - low + 1e-6) — a value near 1 means buyers dominated the session (bullish sentiment); a value near 0 means sellers dominated (bearish sentiment).
• Volume Intensity Zscore: zscore(volume / adv20, 20) — extreme positive z-scores mark sentiment extremes that often revert.
• Nonlinear Volume Anomaly: signed_power(rank(volume / adv20), 2.0) — amplifies extreme volume deviations, useful for capturing tail-end accumulation events.
• Median Deviation Signal: (ts_mean(returns, 5) - ts_median(returns, 20)) — divergence between short-term mean and long-term median captures momentum vs. value disagreement.

Expression building blocks (PV only — safe operators):

rank(ts_corr(close, volume, 10)) * -1               # distribution = future reversal
rank((close - low) / (high - low + 1e-6))           # intraday buying pressure rank
signed_power(rank(volume / adv20), 2.0)             # amplified volume anomaly
ts_zscore(returns, 20)                              # standardized momentum signal