"""
Incremental Trading Strategies Framework

This module provides the strategy framework and implementations for incremental trading.
All strategies inherit from IncStrategyBase and support real-time data processing
with constant memory usage.

Available Components:
- Base Framework: IncStrategyBase, IncStrategySignal, TimeframeAggregator
- Strategies: MetaTrendStrategy, RandomStrategy, BBRSStrategy
- Indicators: Complete indicator framework in .indicators submodule

Example:
    from IncrementalTrader.strategies import MetaTrendStrategy, IncStrategySignal
    
    # Create strategy
    strategy = MetaTrendStrategy("metatrend", params={"timeframe": "15min"})
    
    # Process data
    strategy.process_data_point(timestamp, ohlcv_data)
    
    # Get signals
    entry_signal = strategy.get_entry_signal()
    if entry_signal.action == "BUY":
        print(f"Entry signal with confidence: {entry_signal.confidence}")
"""

# Base strategy framework (already migrated)
from .base import (
    IncStrategyBase,
    IncStrategySignal,
    TimeframeAggregator,
)

# Migrated strategies
from .metatrend import MetaTrendStrategy, IncMetaTrendStrategy
from .random import RandomStrategy, IncRandomStrategy
from .bbrs import BBRSStrategy, IncBBRSStrategy

# Indicators submodule
from . import indicators

__all__ = [
    # Base framework
    "IncStrategyBase",
    "IncStrategySignal", 
    "TimeframeAggregator",
    
    # Available strategies
    "MetaTrendStrategy",
    "IncMetaTrendStrategy",  # Compatibility alias
    "RandomStrategy",
    "IncRandomStrategy",     # Compatibility alias
    "BBRSStrategy",
    "IncBBRSStrategy",       # Compatibility alias
    
    # Indicators submodule
    "indicators",
]