Main entry point for backtesting.
This script contains custom backtesting test cases to verify the backtesting engine.
For implementation details, see runner.py.
create_test_cases
Create predefined test cases for backtesting.
Source code in src/turtle_quant_1/backtesting/main.py
| def create_test_cases() -> List[BacktestingTestCase]:
"""Create predefined test cases for backtesting."""
test_cases = []
# Test Case 1: Standard backtesting with moderate capital
# pyrefly: ignore
strategies = [strategy_type() for strategy_type in BaseStrategy.__subclasses__()]
logger.info(
f"Found {len(strategies)} strategies: {[type(strategy).__name__ for strategy in strategies]}"
)
weights = {}
strategy_engine = WeightedMeanStrategyEngine(
strategies=strategies,
weights=weights,
buy_unit_threshold=0.2,
sell_threshold=-0.2,
)
test_cases.append(
BacktestingTestCase(
name="default",
description="Standard backtesting with $10,000 initial capital",
strategy_engine=strategy_engine,
initial_capital=10000.0,
)
)
return test_cases
|