chore: import upstream snapshot with attribution

Algorithm.Python/MacdAlphaModelFrameworkRegressionAlgorithm.py

@@ -0,0 +1,30 @@
+# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
+# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from AlgorithmImports import *
+from BaseFrameworkRegressionAlgorithm import BaseFrameworkRegressionAlgorithm
+from Alphas.MacdAlphaModel import MacdAlphaModel
+
+### <summary>
+### Regression algorithm to assert the behavior of <see cref="MacdAlphaModel"/>.
+### </summary>
+class MacdAlphaModelFrameworkRegressionAlgorithm(BaseFrameworkRegressionAlgorithm):
+
+    def initialize(self):
+        super().initialize()
+        self.set_alpha(MacdAlphaModel())
+
+    def on_end_of_algorithm(self):
+        expected = 4
+        if self.insights.total_count != expected:
+           raise AssertionError(f"The total number of insights should be {expected}. Actual: {self.insights.total_count}")