用 Gemini 4 Argon 搭建量化交易 agent 的六页论文
作者分享如何把 Gemini 4 Argon 拆成 10 个角色、6 道关卡来构建交易 agent，声称月成本 250–300 美元即可替代百万美元级团队。
Guys, Gemini 4 Argon is f*cking unreal at building trading agents... here’s my 6-page research paper on how to push Gemini 4 Argon to the max and find edge 24/7 + the complete code behind it here is how to build it: 1. pick your edge from the 4 models quant desks actually trade: Ornstein-Uhlenbeck stat arb, Avellaneda-Stoikov market making, Hawkes order flow, Heston volatility. Exact formulas and source papers included 2. understand the real barrier: funds don’t hide the math, they hide the team. 6 specialists, $1.8M a year, 6–9 months per model - that’s the wall you’re about to skip 3. turn Gemini 4 Argon into that team: 10 roles wired through GEMINI.md, Agent Skills and subagents. Architect, test engineer, code reviewer, risk, security - nobody approves their own work 4. run every model through 6 gates: brainstorm, architecture, plan, build, review, ship - nothing moves to the next step until you sign off 5. drop in the production code: OU calibration that kills any pair with a half-life over 20 days, the Avellaneda-Stoikov quote engine, and the Heston calibration objective 6. deploy on a 6-layer stack: data, signal, decision, risk, execution, monitoring - it survives a dropped WebSocket at 2 AM and fires kill switches before any order goes out 7. run it all for $250-300 a month instead of $2M a year. 555–666x cheaper per model probably the best system I’ve tried lately, copy below:
这条是引用着另一条写的：x.com/51bodila/status/2104605864770371757