38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
"""
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Incremental Strategies Module
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This module contains the incremental calculation implementation of trading strategies
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that support real-time data processing with efficient memory usage and performance.
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The incremental strategies are designed to:
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- Process new data points incrementally without full recalculation
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- Maintain bounded memory usage regardless of data history length
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- Provide identical results to batch calculations
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- Support real-time trading with minimal latency
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Classes:
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IncStrategyBase: Base class for all incremental strategies
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IncRandomStrategy: Incremental implementation of random strategy for testing
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IncDefaultStrategy: Incremental implementation of the default Supertrend strategy
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IncBBRSStrategy: Incremental implementation of Bollinger Bands + RSI strategy
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IncStrategyManager: Manager for coordinating multiple incremental strategies
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"""
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from .base import IncStrategyBase, IncStrategySignal
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from .random_strategy import IncRandomStrategy
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# Note: These will be implemented in subsequent phases
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# from .default_strategy import IncDefaultStrategy
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# from .bbrs_strategy import IncBBRSStrategy
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# from .manager import IncStrategyManager
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__all__ = [
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'IncStrategyBase',
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'IncStrategySignal',
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'IncRandomStrategy'
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# 'IncDefaultStrategy',
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# 'IncBBRSStrategy',
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# 'IncStrategyManager'
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]
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__version__ = '1.0.0' |