Fix scoring/recommendation correctness and calibration

Triggered by CNC showing "LONG (High Confidence)" with SHORT reasoning
and no long setup.

- A: recommendation action + reasoning are ticker-level and identical
  on both setups; reasoning always matches the shown action
- B: recommended_action only picks a direction with a tradeable setup;
  strong bias with no setup (e.g. price at ATH) → NEUTRAL with an
  explanatory reason instead of a fake LONG_HIGH
- C: confidence is a directional-agreement model — opposing signals push
  it below 50 (SHORT on a 92-technical/99-momentum stock ~0%, not 55%)
- D: fundamental score requires >=2 real metrics (market-cap-only no
  longer yields a high score)
- E: RSI score peaks at healthy momentum (~60) and penalizes
  overbought/oversold extremes instead of treating RSI 90 as maximal
- F: fundamentals chain merges fields across providers (FMP market cap
  + Finnhub P/E) instead of stopping at the first with any field
- NEUTRAL label: "No Clear Setup" (covers untradeable-bias case)

Scores recompute on next scan/scoring run; C and E shift score
distributions intentionally.

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

tests/unit/test_fundamentals_chain_provider.py

@@ -56,7 +56,35 @@ async def test_chained_provider_uses_fallback_provider_on_primary_failure():
 
     assert result.pe_ratio == 25.0
     assert result.market_cap == 1_000_000.0
-    assert result.unavailable_fields.get("provider") == "fallback"
+    assert result.unavailable_fields.get("source_pe_ratio") == "fallback"
+
+
+@pytest.mark.asyncio
+async def test_chained_provider_merges_fields_across_providers():
+    """Primary supplies only market cap; fallback fills P/E and earnings."""
+    primary_data = FundamentalData(
+        ticker="AAPL", pe_ratio=None, revenue_growth=None, earnings_surprise=None,
+        market_cap=2_000_000.0, fetched_at=datetime.now(timezone.utc), unavailable_fields={},
+    )
+    fallback_data = FundamentalData(
+        ticker="AAPL", pe_ratio=18.0, revenue_growth=12.0, earnings_surprise=4.0,
+        market_cap=999.0, fetched_at=datetime.now(timezone.utc), unavailable_fields={},
+    )
+
+    provider = ChainedFundamentalProvider([
+        ("fmp", _DataProvider(primary_data)),
+        ("finnhub", _DataProvider(fallback_data)),
+    ])
+
+    result = await provider.fetch_fundamentals("AAPL")
+
+    # market cap from primary (first to supply it), the rest from fallback
+    assert result.market_cap == 2_000_000.0
+    assert result.pe_ratio == 18.0
+    assert result.revenue_growth == 12.0
+    assert result.earnings_surprise == 4.0
+    assert result.unavailable_fields.get("source_market_cap") == "fmp"
+    assert result.unavailable_fields.get("source_pe_ratio") == "finnhub"
 
 
 @pytest.mark.asyncio