Integrate unused indicators into technical scoring; fix indicator dropdown

- Technical dimension now uses all directional indicators:
  0.30*ADX + 0.20*EMA + 0.20*RSI + 0.15*EMA_Cross (bullish=80 /
  neutral=50 / bearish=20) + 0.10*Volume_Profile (POC proximity)
  + 0.05*Pivot_Points (structure confluence); weights re-normalize
  when data is insufficient, as before
- ATR stays out of scoring (volatility input for scanner stops,
  not a directional signal)
- IndicatorSelector uses the shared Select so the option list is
  dark instead of the native white popup
- Update technical scoring tests for the six-component breakdown

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

tests/unit/test_scoring_service_technical.py

@@ -44,8 +44,9 @@ async def test_returns_none_tuple_when_no_records(db_session):
 
 @pytest.mark.asyncio
 async def test_returns_breakdown_with_all_sub_scores(db_session):
-    """With enough data, returns score and breakdown with ADX, EMA, RSI sub-scores."""
-    records = _make_ohlcv_records(50)
+    """With enough data, returns score and breakdown with all six sub-scores."""
+    # 60 bars: enough for every indicator incl. EMA Cross (needs 51)
+    records = _make_ohlcv_records(60)
 
     with patch(
         "app.services.price_service.query_ohlcv",
@@ -66,17 +67,27 @@ async def test_returns_breakdown_with_all_sub_scores(db_session):
     assert "ADX" in names
     assert "EMA" in names
     assert "RSI" in names
+    assert "EMA_Cross" in names
+    assert "Volume_Profile" in names
+    assert "Pivot_Points" in names
 
-    # Verify weights
+    # Verify weights sum to 1 and match the formula
     weight_map = {s["name"]: s["weight"] for s in breakdown["sub_scores"]}
-    assert weight_map["ADX"] == 0.4
-    assert weight_map["EMA"] == 0.3
-    assert weight_map["RSI"] == 0.3
+    assert weight_map["ADX"] == 0.30
+    assert weight_map["EMA"] == 0.20
+    assert weight_map["RSI"] == 0.20
+    assert weight_map["EMA_Cross"] == 0.15
+    assert weight_map["Volume_Profile"] == 0.10
+    assert weight_map["Pivot_Points"] == 0.05
+    assert sum(weight_map.values()) == pytest.approx(1.0)
 
-    # Verify raw_value is present and numeric
+    # Verify raw_value is present (numeric except EMA_Cross's signal string)
     for sub in breakdown["sub_scores"]:
         assert sub["raw_value"] is not None
-        assert isinstance(sub["raw_value"], (int, float))
+        if sub["name"] == "EMA_Cross":
+            assert sub["raw_value"] in ("bullish", "neutral", "bearish")
+        else:
+            assert isinstance(sub["raw_value"], (int, float))
         assert sub["description"]
 
     assert breakdown["unavailable"] == []
@@ -112,8 +123,8 @@ async def test_partial_sub_scores_with_insufficient_data(db_session):
 @pytest.mark.asyncio
 async def test_all_sub_scores_unavailable(db_session):
     """With very few bars (not enough for any indicator), returns None score with breakdown."""
-    # 5 bars: not enough for any indicator
-    records = _make_ohlcv_records(5)
+    # 4 bars: not enough for any indicator (Pivot Points needs 5+)
+    records = _make_ohlcv_records(4)
 
     with patch(
         "app.services.price_service.query_ohlcv",
@@ -125,12 +136,15 @@ async def test_all_sub_scores_unavailable(db_session):
     assert score is None
     assert breakdown is not None
     assert breakdown["sub_scores"] == []
-    assert len(breakdown["unavailable"]) == 3
+    assert len(breakdown["unavailable"]) == 6
 
     unavail_names = [u["name"] for u in breakdown["unavailable"]]
     assert "ADX" in unavail_names
     assert "EMA" in unavail_names
     assert "RSI" in unavail_names
+    assert "EMA_Cross" in unavail_names
+    assert "Volume_Profile" in unavail_names
+    assert "Pivot_Points" in unavail_names
 
 
 @pytest.mark.asyncio