
What it is
Chimera proves that sophisticated AI trading doesn't require massive budgets, with intelligent architecture, you can run multi-agent consensus on $6.50/month.
The Multi-Agent Approach
Three AI models vote on every trade:
- Grok-4: Unconventional pattern recognition
- Gemini 2.5 Pro: Technical analysis synthesis
- Claude 4.5 Sonnet: Risk assessment and reasoning
Trades only execute when models reach consensus, reducing false signals from any single model's biases.
The Cost Problem
Naively calling three frontier models for every trade decision would cost hundreds of dollars monthly. That's not sustainable for a personal trading experiment.
The 93% Solution
Chimera achieves 90-93% cost reduction through:
- Intelligent Caching: Similar market conditions reuse previous decisions
- Tiered Validation: LightGBM pre-filters, only escalating ambiguous signals to AI
- Batch Processing: Group decisions to reduce API overhead
- Local First: On-device models handle routine classifications
Running on Raspberry Pi
The entire system runs on a $50 Raspberry Pi, proving that sophisticated AI trading doesn't require expensive infrastructure. Docker containers ensure reliability and easy recovery.
Budget Breakdown
- OpenRouter API: ~$5/month
- Hosting: $0 (Raspberry Pi at home)
- Data feeds: ~$1.50/month
- Total: $6.50/month
The Evolution
Chimera's architecture became the foundation for Agora Quantum, which scales the approach to 8,000+ securities with full portfolio management.
Timeline
How it went
- 2024-12-01The Distributed Lab. Mac + DGX + Pi working together. Vector indexing on DGX. Trading bots on Pi. Development on Mac.
Connected work