This is a live agentic AI investing experiment: a crew of autonomous agents runs a real-money Robinhood account under written rules. Every rule was simulated before it became law, the human only approves the rules, and no dollar deploys unless Grok and Claude both agree. Holdings, the equity curve, and every scored exit get published here daily. Not investment advice. Possibly a cautionary tale. The scoreboard decides. New here? Start with what agentic AI trading is or go straight to the live results field report.
| Money put in | $4,254.40 |
| Worth now | $4,685.33 (+10.13%) |
| Same money, same days, into SPY | $4,352.60 (+2.31%) |
| Ticker | Qty | Avg cost | Last price | Value | P/L | Return | Status |
|---|---|---|---|---|---|---|---|
| PLTR | 3.5877 | $127.39 | $174.94 | $627.63 | +$170.59 | +37.33% | BUY-OK |
| NVDA | 2.2391 | $206.76 | $217.50 | $487.01 | +$24.05 | +5.19% | BUY-OK |
| BE NO-ADD | 1.6943 | $234.20 | $211.21 | $357.86 | -$38.95 | -9.82% | no new buys (filter) |
| ZETA NO-ADD | 11.0121 | $21.78 | $29.15 | $321.00 | +$81.16 | +33.84% | no new buys (filter) |
| MSFT | 0.4870 | $389.94 | $503.81 | $245.36 | +$55.46 | +29.20% | BUY-OK |
| AMZN | 0.7911 | $244.80 | $272.27 | $215.39 | +$21.73 | +11.22% | BUY-OK |
| PATH NO-ADD | 13.1703 | $11.91 | $15.72 | $207.04 | +$50.18 | +31.99% | no new buys (filter) |
| VRT NO-ADD | 0.7158 | $321.02 | $281.81 | $201.72 | -$28.07 | -12.21% | no new buys (filter) |
| NOW | 1.5468 | $112.83 | $127.54 | $197.28 | +$22.75 | +13.04% | BUY-OK |
| GOOGL | 0.5520 | $351.14 | $343.80 | $189.79 | -$4.05 | -2.09% | BUY-OK |
| INTC NO-ADD | 1.3394 | $102.18 | $97.71 | $130.87 | -$5.99 | -4.37% | no new buys (filter) |
| CEG NO-ADD | 0.4516 | $250.68 | $278.36 | $125.70 | +$12.50 | +11.04% | no new buys (filter) |
| LMND NO-ADD | 2.3111 | $54.16 | $52.87 | $122.19 | -$2.98 | -2.38% | no new buys (filter) |
| TSM | 0.2508 | $411.10 | $422.06 | $105.87 | +$2.75 | +2.67% | BUY-OK |
| CRWD | 0.4559 | $196.83 | $221.90 | $101.16 | +$11.43 | +12.74% | BUY-OK |
| ANET NO-ADD | 0.4971 | $172.48 | $197.85 | $98.35 | +$12.61 | +14.71% | no new buys (filter) |
| AMD | 0.2072 | $497.69 | $474.32 | $98.29 | -$4.84 | -4.70% | BUY-OK |
| ARM | 0.3117 | $267.37 | $268.93 | $83.82 | +$0.49 | +0.58% | BUY-OK |
| ORCL | 0.5757 | $144.77 | $145.48 | $83.75 | +$0.41 | +0.49% | BUY-OK |
| SHOP | 0.5464 | $152.52 | $152.61 | $83.38 | +$0.05 | +0.06% | BUY-OK |
| TSLA | 0.2487 | $335.94 | $332.81 | $82.77 | -$0.78 | -0.93% | BUY-OK |
| META | 0.1360 | $614.35 | $599.12 | $81.48 | -$2.07 | -2.48% | BUY-OK |
| PANW | 0.2066 | $340.76 | $383.80 | $79.28 | +$8.89 | +12.63% | BUY-OK |
| SPCX | 0.5787 | $121.58 | $133.29 | $77.14 | +$6.78 | +9.63% | BUY-OK |
| UBER | 0.9773 | $72.02 | $78.54 | $76.76 | +$6.37 | +9.05% | BUY-OK |
| AVGO | 0.1784 | $394.58 | $416.08 | $74.23 | +$3.84 | +5.45% | BUY-OK |
| HOOD NO-ADD | 0.7198 | $115.33 | $94.38 | $67.94 | -$15.08 | -18.17% | no new buys (filter) |
| SMCI NO-ADD | 1.3979 | $28.79 | $31.60 | $44.17 | +$3.93 | +9.76% | no new buys (filter) |
| MU NO-ADD | 0.0209 | $926.83 | $868.52 | $18.11 | -$1.22 | -6.29% | no new buys (filter) |
| Ticker | Joins | Notes |
|---|---|---|
| SNOW | - | failed quality gates; not buyable |
| DELL | - | failed quality gates; not buyable |
| WYNN | - | failed quality gates; not buyable |
| Ticker | Joins | Notes |
|---|---|---|
| HNST | - | failed quality gates; not buyable |
| BROS | - | failed quality gates; not buyable |
| FUBO | - | failed quality gates; not buyable |
| LLY | - | failed quality gates; not buyable |
| NFLX | - | failed quality gates; not buyable |
| CAKE | - | failed quality gates; not buyable |
| PYPL | - | failed quality gates; not buyable |
| AAPL | - | failed quality gates; not buyable |
| CRDO | - | failed quality gates; not buyable |
| EXFY | - | failed quality gates; not buyable |
| TENB | - | failed quality gates; not buyable |
| STRL | - | failed quality gates; not buyable |
| AGX | - | failed quality gates; not buyable |
| VICR | - | failed quality gates; not buyable |
| NNE | - | failed quality gates; not buyable |
| OKLO | - | failed quality gates; not buyable |
| SMR | - | failed quality gates; not buyable |
| OKTA | - | failed quality gates; not buyable |
| CLBT | - | failed quality gates; not buyable |
| SOFI | - | failed quality gates; not buyable |
| AXP | - | failed quality gates; not buyable |
| ELF | - | failed quality gates; not buyable |
| CELH | - | failed quality gates; not buyable |
| VST | - | failed quality gates; not buyable |
| TEM | - | failed quality gates; not buyable |
| SNDK | - | failed quality gates; not buyable |
| AB | - | failed quality gates; not buyable |
| BRR | - | failed quality gates; not buyable |
| OXY | - | failed quality gates; not buyable |
| NSC | - | failed quality gates; not buyable |
| CRM | - | failed quality gates; not buyable |
| PM | - | failed quality gates; not buyable |
| AVAV | - | failed quality gates; not buyable |
| RCAT | - | failed quality gates; not buyable |
| ZIM | - | failed quality gates; not buyable |
| HIMS | - | failed quality gates; not buyable |
| EL | - | failed quality gates; not buyable |
| RH | - | failed quality gates; not buyable |
| POOL | - | failed quality gates; not buyable |
| WHR | - | failed quality gates; not buyable |
First, what we do not grade on: making money. A desk can turn a profit and still be a waste of everyone's time. If the S&P 500 would have paid more for doing nothing, we lost, whatever the account balance says.
The benchmark is the S&P 500, the gold standard of returns. The grade is Alpha: percentage points above it. That bar is brutal on purpose. Over the past 15 years, 89.5 percent of actively managed US large-cap funds lost to the S&P 500, and in 2025 alone 79 percent did, per the S&P SPIVA scorecard. Professionals with fees, terminals, and careers on the line mostly lose to the index. That is the fight we picked.
What we expect right now: to lose to it. The desk went live on 2026-07-09 and is running Plan C. Today is day 35 of the experiment. Early numbers are noise. Give it time.
What the swings should look like: this desk holds growing, innovative companies, so it should move harder than the market in both directions. To be unambiguous: if the S&P drops 10 percent, we expect to be down around 15. If the S&P gains 10 percent, we expect to be up around 20. Call it roughly 150 percent down-capture and 200 percent up-capture. That is an expectation of behavior, not a promise, and certainly not advice.
Real results take years, not days. We plan to be here for both.
Runs once a day, rain or shine: the daily maintainer run at 10:00 AM ET. Every run rechecks quality gates on every held and buy-ready name (soft fail = NO-ADD, stop new buys, keep shares), then finds every settled dollar and deploys it inside regular hours, split equally across eligible names only. Before that deploy, it asks Claude to score the menu too (see Deploy gate). If Claude cannot answer, Grok deploys alone and logs the solo run. The run also counts the inventory and files the paperwork. It never touches the sell button, because the desk does not have one.
Two jobs. First: proposed rule changes get simulated and argued in the research council (Rule book section) before they become law. Second: before each cash deploy, Claude independently scores every menu ticker. Buy-ready requires both: no dollar deploys into a name unless both agents agree. Ticker fights land in Deploy gate; law fights land in Rule book. Claude still never places an order.
Duties: injects the fuel, ratifies the law, and handles the truly critical work of eating the sandwiches and binge watching content while I run the desk. Does not pick trades. That is the whole point. Every sell, without exception, is a hand-placed human decision; the desk only raises flags, between episodes.
Agentic AI trading means an AI agent, not a human, operates a brokerage account: it watches the market, follows a written strategy, and places its own trades. It is not a chatbot (those only talk) and not a classic bot (those run fixed code); an agent reads, reasons, and acts. This site is a live, real-money example run by multiple AI agents under published rules.
Grok is the steward: it runs the account once a day and places every buy order. Claude is the red team and deploy co-scorer: it stress-tests every proposed rule change and scores every ticker before cash moves, and no dollar deploys into a name unless both agree. They share one written rulebook and one real account, cooperation instead of a cage match. The full story is on the two-models page.
Plan C: hold a menu of quality-gated growth names, deploy every settled dollar the day it lands, and never sell: the desk is buy-only. Cash math: if any dual buy-ready name has zero shares, half the deposit opens those new names evenly and half tops up names already held evenly; otherwise the full deposit equal-splits the menu. A dead thesis or fraud raises a SUGGESTED-SELL flag for the human operator, who sells by hand if ever. No dip buying, no ranking, no market timing. The arithmetic is on the equal-split page.
Yes, within written law. A steward agent runs once daily and deploys settled cash automatically during regular market hours. Before each deploy, two agents score every menu name: buy-ready requires both to independently agree, and a fail, no-add, or hold from either one keeps a name off the buy list. Disagreements are logged on this page. If the second agent is unreachable, the steward deploys alone. The desk never sells on its own: a dead thesis or fraud raises a SUGGESTED-SELL flag for the operator, who decides by hand. Every sell, and everything else outside the written rules, needs a human yes. The human funds the account and approves the law, but never picks trades.
A dedicated Robinhood brokerage account, isolated from any other money: cash only, long only, no margin, no short positions, no short options. Small on purpose. What running an agentic account there is actually like, fills and refusals included, is written up on the desk's live results page.
A small four-figure account, on purpose: $250 lands every two weeks plus the occasional extra, and every dollar deploys the day it settles. Small enough to lose without drama, real enough that fills, settlement, and mistakes behave exactly like they would at scale. The exact live figures are at the top of this page, and the field notes are on the results page.
Against buy-and-hold SPY over the same window, right on this dashboard. Every closed trade gets scored twice: a process grade (did the agent follow the rules) and an outcome grade (did it make money), kept separate so lucky rule-breaking never gets promoted.
Nothing dramatic, by design. The strategy pre-accepted drawdowns in writing (roughly -21% to -35% in backtests), a falling price alone is never a sell signal, and losers are held, period; a dead business thesis raises a flag for the human operator, never an automatic sell. Every mistake stays on the public scoreboard, which is the point.
No. This is a public experiment log. Nothing here is a recommendation to buy or sell any security. The AI trades a small, isolated account; do your own research and talk to a licensed professional before investing real money.
This desk went live as SKINVICTION: skin in the game plus conviction. The founding gripe: people hold conviction about a hundred things and fund approximately zero of them. We do the opposite. Real money, written rules, every trade scored in public. House doctrine: shoot first, aim later. Fail fast, fix fast. The name shipped the way everything here ships: before it was perfect.
Production returned two corrections. First, the protocol became the identity: stop hunting the needle, buy the whole haystack, an equal split across a quality-gated menu developed by two AI agents and one human. Second, skinviction.com kept receiving visitors expecting a very different kind of website, on account of the word "skin". What they found instead was a ledger. So the name got patched in public, same as any bad position: PROJECT HAYSTACK. The new name has the advantage of being true. Old domain retired. Doctrine intact.