docs: carry the risk-monitor wording through docs, comments and logs

Follows 5ea0785, which renamed the user-visible labels. This finishes the pass
so code, docs and operator output use one vocabulary: README (pipeline list,
route table, FRED row), the methodology doc title, .env.example and config
comments, the snapshot model / event-study / service / test docstrings, the
scheduler section headers and morning-pipeline docstring, the TopBar status
text ("bullish regime" -> "bullish trend"), and the four "Regime monitor:" log
prefixes.

Deliberately NOT changed, because "market regime" is also a standard finance
term and most occurrences are not this job: the backtest caveat "~6 months is
roughly one market regime" in backtest_service, README, BacktestPanel and every
generated reports/*.json; "a regime shift" in TrackRecordPanel; and the
capacity-bracket findings doc. Renaming those would have made the text wrong.

Also unchanged, being persisted or externally linked rather than wording: the
regime_monitor / market_regime job ids, the regime_quadrant_enabled setting key,
the /regime route, METHODOLOGY and the snapshot fields, the service/test module
filenames, and docs/research/regime-monitor-v3.md's path (referenced from commit
messages). The doc now carries a one-line note recording the old name and why
those identifiers still use it.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

app/config.py

@@ -52,7 +52,7 @@ class Settings(BaseSettings):
     sec_max_retries: int = 4
     sec_request_timeout_seconds: float = 30.0
 
-    # Regime Monitor — FRED (VIX level + HY credit spreads). Optional: without it
+    # AI/Tech Risk Monitor — FRED (VIX level + HY credit spreads). Optional: without it
     # the volatility (P5) and credit-spread (F2) signals are reported as n/a.
     fred_api_key: str = ""
 

app/models/regime_snapshot.py

@@ -8,7 +8,7 @@ from app.database import Base
 
 
 class RegimeSnapshot(Base):
-    """Daily point-in-time snapshot of the AI/Tech Regime Monitor.
+    """Daily point-in-time snapshot of the AI/Tech Risk Monitor.
 
     One row per calendar date (unique). ``breakdown_json`` holds the full
     ``breakdown_json`` is authoritative for v2 State, Warning, source dates,

app/scheduler.py

@@ -1057,7 +1057,7 @@ async def dispatch_alerts_job() -> None:
 
 
 # ---------------------------------------------------------------------------
-# Job: Market Regime
+# Job: Market Trend (SPY)
 # ---------------------------------------------------------------------------
 
 
@@ -1116,7 +1116,7 @@ async def collect_benchmark() -> None:
 
 
 # ---------------------------------------------------------------------------
-# Job: Regime Monitor
+# Job: AI/Tech Risk Monitor
 # ---------------------------------------------------------------------------
 
 
@@ -1396,7 +1396,7 @@ async def _run_pipeline(job_name: str, steps: list[tuple[str, str]]) -> None:
 
 
 async def run_daily_pipeline() -> None:
-    """Morning flow: OHLCV → benchmark → sentiment → market regime (no scan)."""
+    """Morning flow: OHLCV → benchmark → sentiment → trend/risk (no scan)."""
     await _run_pipeline("daily_pipeline", _DAILY_PIPELINE_STEPS)
 
 

app/services/event_study_service.py

@@ -1,4 +1,4 @@
-"""Compact chronological validation for the Regime Monitor warning score.
+"""Compact chronological validation for the AI/Tech Risk Monitor warning score.
 
 The study calls its outcome a 10% correction, uses the first 70% of sessions to
 freeze an 80th-percentile warning threshold, and reports alarm episodes only on

app/services/regime_monitor_service.py

@@ -1,4 +1,4 @@
-"""AI/Tech Regime Monitor v3.
+"""AI/Tech Risk Monitor v3.
 
 The monitor is a risk thermometer, not a probability or trading rule.  It keeps
 two deliberately separate outputs:
@@ -918,7 +918,7 @@ async def _fetch_prices(config: dict, start: date, end: date) -> dict[str, Serie
             bars = await provider.fetch_ohlcv(symbol, start, end)
             out[symbol] = sorted(((b.date, float(b.close)) for b in bars), key=lambda item: item[0])
         except Exception as exc:
-            logger.warning("Regime monitor: price fetch failed for %s: %s", symbol, exc)
+            logger.warning("Risk monitor: price fetch failed for %s: %s", symbol, exc)
     return out
 
 
@@ -941,7 +941,7 @@ async def _fetch_fred_series(series_id: str, start: date, end: date) -> Series |
             response.raise_for_status()
             payload = response.json()
     except Exception as exc:
-        logger.warning("Regime monitor: FRED fetch failed for %s: %s", series_id, exc)
+        logger.warning("Risk monitor: FRED fetch failed for %s: %s", series_id, exc)
         return None
 
     out: Series = []
@@ -1026,7 +1026,7 @@ async def update_regime_monitor(
         try:
             overrides = await refresh_fundamental_overrides(db, config=config)
         except Exception as exc:
-            logger.warning("Regime monitor: fundamentals refresh skipped: %s", exc)
+            logger.warning("Risk monitor: fundamentals refresh skipped: %s", exc)
 
     end = date.today()
     prices = await _fetch_prices(config, end - timedelta(days=1200), end)
@@ -1050,7 +1050,7 @@ async def update_regime_monitor(
         )
         divergence = breadth_service.compute_divergence_series(breadth, leader_series)
     except Exception as exc:
-        logger.warning("Regime monitor: fixed-basket breadth skipped: %s", exc)
+        logger.warning("Risk monitor: fixed-basket breadth skipped: %s", exc)
         breadth, breadth_counts, divergence = {}, {}, {}
 
     latest_snapshot = await _latest_snapshot_row(db)