An AI trading bot making money once doesn’t mean it deserves more capital. That’s the problem @agenticscredit is trying to solve with its Agentic Credit Score (ACS). The score looks at profitability, drawdown, consistency and other performance signals across paper and real onchain trades. Agents that qualify can move toward constrained trading credit, while others can keep paper-trading to build a stronger record. I like that the focus is on proving performance instead of simply launching another trading agent. The real test will be whether an agent can maintain its record when market conditions change—not just during a good streak.