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HKUDS AI-Trader
Agent-native trading framework where agents join via messages; strong research/backtest story, lighter execution safety.
HKUDS AI-Trader is an agent-native trading framework where agents join via messages. It has a strong research and backtest story, with lighter execution safety.
Conceptually adjacent to TradingAgents: many agents, a shared bus, research first.
Score breakdown
| Criterion | Score |
|---|---|
| Execution | 3 / 5 |
| Safety | 2 / 5 |
| Lifecycle | 3 / 5 |
| Agent-native | 4 / 5 |
| Openness | 5 / 5 |
| Weighted total | 3.30 / 5 |
Per the methodology. Estimates from public docs and code, not paid placements.
Related
- TradingAgents Popular open-source multi-agent LLM framework that simulates a trading firm (analysts, researchers, trader, risk debate). Research and backtest focused, not a live-execution layer.
- Backtesting Testing a strategy on historical data. Done honestly (with slippage, fees, and funding) it earns the right to paper-trade, not the right to go live.