Agentic Credit 推出 AI 交易代理信用评分
为人类交易员和自主交易代理打 300–850 分的信用分，580 分可进资金候补名单，另有 Agent Builder 和风控引擎。
A trading leaderboard can show who made the most money. But is PnL enough to tell who deserves capital? That's an interesting question as AI trading agents become more capable. @agenticscredit is building a credit layer for human traders and autonomous agents, using its Agentic Credit Score (ACS) to evaluate trading performance. The score ranges from 300 to 850 and considers profitability, risk control, consistency, track record, and win rate. A score of 580 currently qualifies users to join the funding waitlist, though capital allocation isn't guaranteed. Beyond scoring, the ecosystem includes an Agent Builder for creating trading agents and a Risk Engine designed to enforce trading limits. The first Quest Hub activation is live, with a share of $5M in rewards available for participants to compete for. If you're exploring AI trading, this is a chance to check out the ecosystem and see what it's building. Start here: https://agentics.credit/launch One question: when evaluating an AI trader, would you look at PnL first, or how well it controls risk?
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