Bump us equity strategies to 0.7.52

Author: Pigbibi

requirements.txt

@@ -1,7 +1,7 @@
 flask
 gunicorn
 quant-platform-kit @ git+https://github.com/QuantStrategyLab/QuantPlatformKit.git@v0.7.37
-us-equity-strategies @ git+https://github.com/QuantStrategyLab/UsEquityStrategies.git@v0.7.51
+us-equity-strategies @ git+https://github.com/QuantStrategyLab/UsEquityStrategies.git@v0.7.52
 pandas
 requests
 pandas_market_calendars

tests/test_decision_mapper.py

@@ -106,7 +106,7 @@ def test_applies_platform_reserved_cash_floor_for_weight_targets(self):
         plan = map_strategy_decision_to_plan(
             decision,
             snapshot=snapshot,
-            strategy_profile="tech_communication_pullback_enhancement",
+            strategy_profile="mega_cap_leader_rotation_top50_balanced",
             runtime_metadata={
                 "schwab_execution_policy": {
                     "reserved_cash_floor_usd": 150.0,
@@ -132,7 +132,7 @@ def test_zero_equity_weight_targets_no_execute_instead_of_translation_error(self
         plan = map_strategy_decision_to_plan(
             decision,
             snapshot=snapshot,
-            strategy_profile="tech_communication_pullback_enhancement",
+            strategy_profile="mega_cap_leader_rotation_top50_balanced",
         )
 
         self.assertEqual(plan["allocation"]["target_mode"], "value")
@@ -201,7 +201,7 @@ def test_soxl_profile_keeps_strategy_reserve_without_platform_floor(self):
 
         self.assertEqual(plan["execution"]["reserved_cash"], 35.27)
 
-    def test_translates_weight_targets_for_tech_communication_pullback_enhancement(self):
+    def test_translates_weight_targets_for_mega_cap_leader_rotation(self):
         snapshot = SimpleNamespace(
             total_equity=100000.0,
             buying_power=20000.0,
@@ -226,7 +226,7 @@ def test_translates_weight_targets_for_tech_communication_pullback_enhancement(s
         plan = map_strategy_decision_to_plan(
             decision,
             snapshot=snapshot,
-            strategy_profile="tech_communication_pullback_enhancement",
+            strategy_profile="mega_cap_leader_rotation_top50_balanced",
         )
 
         self.assertEqual(plan["allocation"]["target_mode"], "value")