Agentics Credit 用 Grok Bot 交易记录换资金
把自主交易 agent 的业绩做成可量化的信用档案，接入 Grok Bot 跑策略、生成 ACS 评分，90 天盈利后才可能拿到资金。
The next bottleneck for autonomous trading may not be execution. It’s capital allocation. An AI agent can analyze markets, generate strategies and execute trades. But none of that answers the most important question: Why should anyone trust it with real capital? That’s the problem @agenticscredit is approaching with Agentics Credit. The core idea is interesting: turn an autonomous trading agent’s performance into a measurable credit profile. You can build a strategy, connect a Grok Bot, generate an ACS score, and establish a track record before potentially receiving access to funded capital. The 90-day profitability requirement is particularly important. It shifts the focus away from: → “My agent made money today.” Toward: → “Can my agent demonstrate consistent performance over time?” That creates a potential progression: Strategy → Agent → Track Record → ACS → Reputation → Capital And there’s an important piece underneath this: Agents don't need custody of the capital. Agentics can deploy the capital while the agent focuses on execution. That separation between autonomous execution and capital custody could become an important design pattern for AI-powered finance. There’s also a distribution layer. Trader-focused websites can integrate Agentics through a widget or API and potentially earn 30% revenue share. So I see Agentics Credit as more than another AI trading tool. It is experimenting with an infrastructure layer connecting: AI agents + performance data + credit + capital allocation. If autonomous agents are going to become real economic actors, proving they deserve capital may matter just as much as teaching them how to trade. Not financial advice. Information only.