Add a simple algorithm, buy >1 and sell 0.8

Algorithm.Python/BeautifullMagentaDonkey

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+# region imports
+from AlgorithmImports import *
+import pandas as pd
+from io import StringIO
+# endregion
+
+class BeautifullMagentaDonkey(QCAlgorithm):
+
+ def initialize(self):
+ self.set_start_date(2024, 4, 1)
+ self.set_end_date(2024, 5, 1)
+ self.set_cash(10000)
+ self.symbol = self.add_equity("AAPL", Resolution.DAILY).symbol
+
+ csv_data = """date,value
+2024-04-01,0.8
+2024-04-02,0.9
+2024-04-03,0.7
+2024-04-04,1.1
+2024-04-05,1.3
+2024-04-08,1.0
+2024-04-09,1.2
+2024-04-10,0.9
+2024-04-11,1.4
+2024-04-12,1.1
+"""
+
+ self.custom_data = pd.read_csv(StringIO(csv_data), parse_dates=["date"])
+ self.debug(f"Custom dataset loaded: {len(self.custom_data)} registros")
+
+ def on_data(self, data: Slice):
+ today = self.Time.date()
+ df = self.custom_data[self.custom_data['date'].dt.date <= today]
+ if df.empty:
+ return 
+
+ latest_value = df.iloc[-1]['value']
+
+ if not self.portfolio.invested and latest_value > 1.0:
+ self.set_holdings(self.symbol, 1)
+ self.debug(f"{today}: Buy signal (dataset value {latest_value})")
+ elif self.portfolio.invested and latest_value < 0.8:
+ self.liquidate()
+ self.debug(f"{today}: Sell signal (dataset value {latest_value})")