We just released an open source project for agent swarm based stock trading simulations built and tested by heyneo.so - Fully autonomous ML engineering agent.
The agent swarm self coordinates with each other via an asynchronous message bus.
There are around 10 agents with distinct roles:
- 3 Analyst Agents → Generate BUY/SELL signals (SMA crossovers, volume trends)
- 4 Trader Agents → Execute trades, manage $250K portfolios each
- 2 Risk Managers → Validate orders, enforce stop-loss rules
- 1 Reporter Agent → Aggregate P&L and generate reports
The simulation consists of capital allocation, risk checks like stop-losses and order blocking, and reporting baked into the flow. The system backtests over ~250 trading days, starts with a fixed $1M capital, and logs things like drawdown, blocked orders, and approval rates.
Repo here if anyone wants to dig into the implementation or poke holes in the design:
https://github.com/dakshjain-1616/Stock-trading-Agent-Swarm-...
Extend the project in your VS Code IDE with Neo:
https://marketplace.visualstudio.com/items?itemName=NeoResea...
