signal_aggregator + chart_patterns: drop dead parameters and shadowed literals (no behaviour change)

- analyze_pair(context=...): no caller ever supplied it (main, telegram_bot,
  pair_signals, tests), so the value was always None; the parameter and the
  pass-through to analyze_from_dataframes go (analyze_from_dataframes keeps
  its own context parameter).
- The three specific "SELL FILTER: quality|volatility|regime" stale-prefix
  entries were shadowed by the general "SELL FILTER: " entry in the same
  startswith() tuple; every emitter carries the general prefix.
- chart_patterns: the detectors never read the Open series, so the `o`
  parameter is dropped from the three detectors, the PATTERN_DETECTORS
  lambdas and the dispatcher.
- Corrected the pb_funnel/cp_funnel comment: nothing reads those counters
  (the "read by backtest tooling" claim was stale); they stay as cheap
  diagnostics.

Parity: 12-month M5 and H1 books regenerated byte-identical
(md5 a28fed4becd056466c26d6a947e1a0e5 / d20405ef64f069770c258bb9bed1ac90).
Suite: 461 passed, 0 failed.

Claude-Session: https://claude.ai/code/session_0156YhogLytzj9P2iH1skGbL

signal_aggregator.py

@@ -150,8 +150,9 @@ class SignalReport:
 class SignalAggregator:
     """Master aggregator for live signal analysis."""
 
-    # Diagnostic funnel for the M5 pullback route (shared across
-    # instances; read by backtest tooling, harmless in live use).
+    # Diagnostic rejection counters for the M5 pullback route (class-level,
+    # shared across instances). Nothing in the repo reads them; they are
+    # cheap and kept for ad-hoc inspection from a REPL.
     pb_funnel: Dict[str, int] = {}
     # Same, for the chart-pattern route (XAU_CP).
     cp_funnel: Dict[str, int] = {}
@@ -172,7 +173,6 @@ class SignalAggregator:
     def analyze_pair(
         self,
         symbol: Optional[str] = None,
-        context: Optional[FundamentalContext] = None,
         log_source: Optional[str] = None,
     ) -> SignalReport:
         """Live-mode entry: fetch all needed timeframes then delegate.
@@ -244,7 +244,6 @@ class SignalAggregator:
         report = self.analyze_from_dataframes(
             symbol=symbol,
             dfs=dfs,
-            context=context,
             use_news=True,
         )
 
@@ -919,9 +918,6 @@ class SignalAggregator:
             "EXHAUSTION BLOCK",
             "EXHAUSTED TREND FILTER:",
             "MTF OPPOSITION:",
-            "SELL FILTER: quality",
-            "SELL FILTER: volatility",
-            "SELL FILTER: regime",
             "SELL FILTER: ",
             "M5 FILTER: |score|",
             "M5 FILTER: no MTF agreement",