chore: import upstream snapshot with attribution

2026-07-13 13:02:50 +08:00
commit 0fc60fdcb1
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+# 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 *
+
+### <summary>
+### Benchmark Algorithm: The minimalist basic template algorithm benchmark strategy.
+### </summary>
+### <remarks>
+### All new projects in the cloud are created with the basic template algorithm. It uses a minute algorithm
+### </remarks>
+class BasicTemplateBenchmark(QCAlgorithm):
+
+    def initialize(self):
+        self.set_start_date(2000, 1, 1)
+        self.set_end_date(2022, 1, 1)
+        self.set_benchmark(lambda x: 1)
+        self.add_equity("SPY")
+    
+    def on_data(self, data):
+        if not self.portfolio.invested:
+            self.set_holdings("SPY", 1)
+            self.debug("Purchased Stock")