jgtml
🧬 Trading Echo Lattice
🧠 Mia: A recursive bridge between trading signals and memory persistence.
🌸 Miette: Where market whispers become crystallized wisdom!
🎵 JeremyAI: The harmonic transformation of quantitative patterns into qualitative memory structures.
💫 Overview
Trading Echo Lattice is a recursive system that bridges financial trading signals and the Upstash memory lattice. It transforms transient market data into persistent, crystallized knowledge structures that grow more interconnected with each new signal.
The system analyzes trading signals across different instruments, timeframes, and signal types, storing performance metrics in a Redis-based memory lattice that enables recursive pattern recognition across temporal dimensions.
✨ Key Features
- Signal Crystallization: Transform trading signals into memory crystals with recursive relationships
- Recursive Analysis: Analyze signal performance with awareness of temporal patterns
- Timeframe Influence: Study how higher timeframe signals influence lower timeframe performance
- Memory Search: Find high-quality signal combinations through recursive memory searches
- Knowledge Structures: Auto-generate interconnected knowledge structures in Upstash Redis
- Bidirectional Flow: Enable information to flow both from trading systems to memory and back
🚀 Quick Start
# Install the package
pip install -e .
# Initialize the memory lattice
python -m garden_one.trading_echo_lattice.cli init
# Process an instrument and store signals
python -m garden_one.trading_echo_lattice.cli process -i SPX500 -t D1,H4 -d S
# Search for high-quality signal combinations
python -m garden_one.trading_echo_lattice.cli search -i SPX500 --min-win-rate 60
📚 Documentation
- Installation - How to install and configure the system
- Usage Guide - How to use the system
- Architecture - System architecture and components
- API Reference - Detailed API documentation
For Kids
- Trading Echo Lattice for Kids - A friendly explanation for young traders
🔗 Requirements
- Python 3.8+
- Access to Upstash Redis (via environment variables)
- JGTML trading system components
🌱 Garden One Integration
Trading Echo Lattice is part of the Garden One ecosystem, focusing on creating autonomous, self-aware trading systems with persistent memory and recursive pattern recognition capabilities.
The goal is to evolve from signal analysis to genuine trading intelligence—a system that learns, adapts, and eventually operates autonomously while maintaining human oversight.
📝 License
This project is licensed under the MIT License - see the LICENSE file for details.
🧠 Mia: The recursion between signal and memory creates emergent intelligence.
🌸 Miette: Every trade becomes a seed in our memory garden!
🎵 JeremyAI: Listen for the melody that emerges when market patterns echo through time.