Design Layered Memory System for LLM Trading Agent
HardLLM Trading AgentsLLMMemory SystemsTrading AgentsTransformers
Problem Statement
## Problem: Layered Memory System for LLM Trading Agent
Design and implement a layered memory system for an LLM-based trading agent similar to FinMem. The system should have:
1. **Short-term memory**: Recent trading decisions and market observations
2. **Working memory**: Current context and active reasoning
3. **Long-term memory**: Learned patterns and historical knowledge
### Requirements:
- Implement three memory layers with different update mechanisms
- Create attention mechanisms to retrieve relevant memories
- Integrate with a language model for decision-making
- Handle memory capacity and forgetting mechanisms
Design and implement a layered memory system for an LLM-based trading agent similar to FinMem. The system should have:
1. **Short-term memory**: Recent trading decisions and market observations
2. **Working memory**: Current context and active reasoning
3. **Long-term memory**: Learned patterns and historical knowledge
### Requirements:
- Implement three memory layers with different update mechanisms
- Create attention mechanisms to retrieve relevant memories
- Integrate with a language model for decision-making
- Handle memory capacity and forgetting mechanisms
Test Cases
Test Case 1
Test memory integration
Code Editor
Output
Output will appear here...
