How It Works
Building an Evolutionary Multi-Agent System from First Principles
Switchfin isn't just a platform—it's an adaptive system designed to discover, test, and optimize investment strategies using a network of intelligent, evolving agents.
Here's how it works, from the ground up.
1. Agents Are Modular Units of Intelligence
Each Switchfin agent is a purpose-built system with a defined role: scanning markets, managing positions, or executing trades.
They work autonomously—but always in coordination.
Inputs: market data, portfolio state, and strategy signals
Outputs: decisions, alerts, or trade instructions
Internal Logic: rules-based or learned behavior
Principle: Break complexity into intelligent, specialized components.
2. Strategy Discovery Is an Ongoing Search Process
Investment strategies aren't set-and-forget. They must be discovered, tested, and refined constantly.
Agents scan for opportunities and evolve new strategies based on performance, volatility, or structural changes in the market.
Principle: Treat strategy creation as a search problem, not a static design task.
3. Evolution Is Powered by Feedback Loops
Agents mutate parameters, models, or tactics. Underperforming variants are retired. Promising strategies are amplified.
It's Darwinian optimization—backed by real data.
Mutation
Selection
Replication
Principle: Continuous improvement emerges from variation + selection + feedback.
4. Multi-Agent Collaboration Creates Systemic Intelligence
Strategy isn't managed by one super-agent. It's orchestrated by many working in parallel:
- A market-monitoring agent watches for volatility triggers
- A strategy agent handles hedging overlays
- A compliance agent ensures regulatory fit
Principle: Intelligence is emergent—not centralized.
5. Virtual Subaccounts Enable Safe Experimentation
New agents are born in simulated environments.
Only proven strategies graduate into production.
✓ Real capital is protected
✓ Live market conditions are preserved
✓ Rapid iteration is supported
Principle: Separate exploration from exploitation.
6. The Supervisor Agent Orchestrates the Entire Lifecycle
The Supervisor Agent handles instantiation, resource allocation, and shutdown of all others.
- Enforces compute and risk constraints
- Prevents cross-agent interference
- Maintains system health
Principle: Dynamic orchestration enables scale without chaos.
7. The Result: A Living, Learning Trading System
Switchfin doesn't decay over time—it evolves.
Every decision makes it smarter. Every environment change makes it stronger.
Strategy generation
Risk-aware execution
Continuous learning
Principle: Build systems that adapt—not systems that degrade.
Ready to See It in Action?
Switchfin is more than a framework—it's an adaptive trading operating system.