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
```