feat(strategy): Phase 2 complete — strategy infrastructure upgrade

- Technical indicators library (ATR, ADX, RSI, MACD, Bollinger, Stochastic, OBV)
- Signal model: conviction score, stop_loss, take_profit fields
- BaseStrategy: ADX regime filter, volume confirmation, ATR-based stops
- All 8 strategies upgraded with filters, conviction scoring, ATR stops
- Combined strategy uses conviction-weighted scoring
- 334 tests passing

1 files changed, 12 insertions, 4 deletions

diff --git a/shared/tests/test_models.py b/shared/tests/test_models.py
index b23d71d..e3b9f12 100644
--- a/shared/tests/test_models.py
+++ b/shared/tests/test_models.py
@@ -99,8 +99,12 @@ def test_signal_conviction_default():
     from shared.models import Signal, OrderSide
 
     signal = Signal(
-        strategy="rsi", symbol="BTCUSDT", side=OrderSide.BUY,
-        price=Decimal("50000"), quantity=Decimal("0.01"), reason="test",
+        strategy="rsi",
+        symbol="BTCUSDT",
+        side=OrderSide.BUY,
+        price=Decimal("50000"),
+        quantity=Decimal("0.01"),
+        reason="test",
     )
     assert signal.conviction == 1.0
     assert signal.stop_loss is None
@@ -112,8 +116,12 @@ def test_signal_with_stops():
     from shared.models import Signal, OrderSide
 
     signal = Signal(
-        strategy="rsi", symbol="BTCUSDT", side=OrderSide.BUY,
-        price=Decimal("50000"), quantity=Decimal("0.01"), reason="test",
+        strategy="rsi",
+        symbol="BTCUSDT",
+        side=OrderSide.BUY,
+        price=Decimal("50000"),
+        quantity=Decimal("0.01"),
+        reason="test",
         conviction=0.8,
         stop_loss=Decimal("48000"),
         take_profit=Decimal("55000"),