"""
Incremental Backtesting Framework

This module provides comprehensive backtesting capabilities for incremental trading strategies.
It includes configuration management, data loading, parallel execution, and result analysis.

Components:
- IncBacktester: Main backtesting engine
- BacktestConfig: Configuration management for backtests
- OptimizationConfig: Configuration for parameter optimization
- DataLoader: Data loading and validation utilities
- SystemUtils: System resource management
- ResultsSaver: Result saving and reporting utilities

Example:
    from IncrementalTrader.backtester import IncBacktester, BacktestConfig
    from IncrementalTrader.strategies import MetaTrendStrategy
    
    # Configure backtest
    config = BacktestConfig(
        data_file="btc_1min_2023.csv",
        start_date="2023-01-01",
        end_date="2023-12-31",
        initial_usd=10000
    )
    
    # Run single strategy
    strategy = MetaTrendStrategy("metatrend")
    backtester = IncBacktester(config)
    results = backtester.run_single_strategy(strategy)
    
    # Parameter optimization
    param_grid = {"timeframe": ["5min", "15min", "30min"]}
    results = backtester.optimize_parameters(MetaTrendStrategy, param_grid)
"""

from .backtester import IncBacktester
from .config import BacktestConfig, OptimizationConfig
from .utils import DataLoader, DataCache, SystemUtils, ResultsSaver

__all__ = [
    "IncBacktester",
    "BacktestConfig",
    "OptimizationConfig",
    "DataLoader",
    "DataCache",
    "SystemUtils", 
    "ResultsSaver",
]