65 lines
1.4 KiB
Python
65 lines
1.4 KiB
Python
"""Memory module implementing the FinMem pattern for TradingAgents.
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This module provides a layered memory system with three scoring dimensions:
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- Recency: Time-based decay for more recent memories
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- Relevancy: Semantic similarity to current context
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- Importance: Significance weighting for impactful events
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Issue #18: Layered memory - recency, relevancy, importance scoring
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Issue #19: Trade history memory - outcomes, agent reasoning
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Issue #20: Risk profiles memory - user preferences over time
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"""
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from .layered_memory import (
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LayeredMemory,
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MemoryEntry,
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MemoryConfig,
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ScoringWeights,
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DecayFunction,
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ImportanceLevel,
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)
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from .trade_history import (
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TradeHistoryMemory,
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TradeRecord,
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TradeOutcome,
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TradeDirection,
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SignalStrength,
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AgentReasoning,
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MarketContext,
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)
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from .risk_profiles import (
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RiskProfileMemory,
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RiskProfile,
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RiskDecision,
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RiskTolerance,
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MarketRegime,
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RiskCategory,
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)
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__all__ = [
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# Layered Memory (Issue #18)
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"LayeredMemory",
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"MemoryEntry",
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"MemoryConfig",
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"ScoringWeights",
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"DecayFunction",
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"ImportanceLevel",
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# Trade History (Issue #19)
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"TradeHistoryMemory",
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"TradeRecord",
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"TradeOutcome",
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"TradeDirection",
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"SignalStrength",
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"AgentReasoning",
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"MarketContext",
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# Risk Profiles (Issue #20)
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"RiskProfileMemory",
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"RiskProfile",
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"RiskDecision",
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"RiskTolerance",
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"MarketRegime",
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"RiskCategory",
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]
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