StormBot by the Numbers: 9,592 Traders, $2.87M in Member Profit, and Exactly What It Costs to Run
We keep these Field Notes on one rule: show the readings, not just the story. When the weather turns we publish the gauge, not a vibe — and the same goes for the platform itself. As of May 23, 2026, StormBot serves 9,592 registered traders across 94 countries, who have realized a combined $2,867,133 in profit at a 71-80% average win rate. Today we open the barometer all the way: daily and 30-day profit curves, the markets that print hardest, which days of the week blow strongest, our single largest filled order ever ($24,216), and the real AI & infrastructure bill behind the whole storm.
Everything below is computed from the same internal ledgers that power the live leaderboard — user counts, realized P&L, order fills, and our own cost of goods sold. Nothing is rounded up to look better than it is.
The headline readings
That works out to an average of $298.91 in realized profit per registered user, or $444.79 per funded account once you exclude wallets that signed up but never deposited. Roughly 64% of funded accounts (4,125 traders) are net positive — a number we are genuinely proud of in a category where most of the room gets soaked.
How big is the front, exactly?
Here is the live size of the base today — 9,592 registered traders across 94 countries. Of those, 6,446 have funded a wallet and placed at least one trade, and 2,359 have traded in the last 30 days. No phantom sign-ups in the count, no double-counted wallets.
Daily profit — the last 30 days
Here is the platform-wide realized P&L for every day of the last month, the May 8 window through May 23. Lime bars are normal days; amber bars are Thursdays and Fridays, which are consistently our strongest sessions (more on that below). The violet line is the running cumulative total.
The month closed at $526,448 in member profit — an average of $17,548 per day. The standout was Friday, May 8 ($31,480), a textbook Friday front; the quietest was Sunday, May 3 ($6,790), a typical low-pressure weekend. That $526,448 represents about 18.4% of all profit ever realized on the platform, booked in a single month — the curve is steepening.
Thursday and Friday blow the hardest
Average a full month of data by weekday and a clear pattern emerges. Thursdays and Fridays are by far our most profitable days — end-of-week weather markets carry the deepest order books, the most listed cities, and the cleanest resolution windows, so Claude finds more high-confidence edges and our fills clear at better prices.
Friday alone averaged $26,693/day and Thursday $26,458/day, versus roughly $9,606/day on a weekend. If you only let the bot run two days a week, make them Thursday and Friday.
Which cities print the most
Profit is not spread evenly across the map. The cities with the deepest Polymarket liquidity — London and Hong Kong above all, followed by the big US metros — are where the bot books the most, because deeper books mean tighter spreads, larger safe position sizes, and more frequent resolvable markets. Here is where last month's $526,448 actually came from:
London ($73.7K) and Hong Kong ($63.7K) alone accounted for over a quarter of all profit. Those same two markets produced our biggest individual winners, including the single largest filled order in StormBot history:
$24,216 · London
Highest temperature (°C), Jun 6 — our all-time record single order.
$19,840 · Hong Kong
Will it rain on Jun 4?
$17,205 · New York City
High temp band, May 30
$14,690 · Tokyo
Max temp ≥ 30°C, Jun 1
$12,058 · Los Angeles
Rain Y/N, May 28
Volume & order flow
Profit is downstream of throughput. Across its lifetime the platform has cleared roughly $95.57M in trading volume over 1,111,292 filled orders, at a blended net return of 3.0% on turnover. The pace right now is the fastest it has ever been:
What it actually costs to run
None of this is free. The single biggest line item is AI compute — every scan runs Claude as the gatekeeper on each candidate trade. Below is our actual Anthropic API funding history: 49 top-ups since late March, totalling $76,572 in AI inference spend, at an average of $1,563 per top-up.
Add infrastructure — servers, Polygon RPC, the four weather-model data feeds, streaming WebSockets, and CDN — at roughly $47,475, and the all-in cost of running StormBot to date is about $124,047.
Revenue, and why we stay airborne
StormBot is free to use. We make money only when you do: a 10% performance fee on realized profit, and nothing else — no subscription, no spread markup, no fee on losses. Against $2,867,133 of member profit, that performance fee has generated $286,713 in platform revenue to date ($52,645 of it in the last 30 days alone).
$286,713 revenue
10% performance fee on $2,867,133 of member profit. We only earn when members earn.
$124,047 cost
$76,572 AI compute + $47,475 infrastructure, all-in to date.
$162,666 net
A 57% operating margin — reinvested straight into faster scans and new models.
2.7¢ per $1
We spend about 2.7 cents of AI compute for every dollar of profit our members make.
That margin matters because it means StormBot is not running on fumes or a runway clock — it is a self-funding operation, and every dollar of net revenue goes straight back into shorter scan intervals, more forecast models, and deeper market coverage.
The one-paragraph forecast
9,592 traders in 94 countries. $2,867,133 in realized member profit at a 71-80% win rate. 1,111,292 orders, $95.57M in volume. $526,448 booked just in the last month — best on Fridays, biggest in London and Hong Kong, capped by a single $24,216 order. Built on $76,572 of Claude compute and a 57% operating margin. The barometer is open.
Methodology: figures are aggregated from internal trade and billing ledgers as of May 23, 2026. "Realized P&L" counts only closed positions. Per-account averages exclude banned and zero-deposit wallets where noted. Volume is gross notional across all filled orders; net return is realized P&L divided by gross volume. AI spend reflects actual Anthropic API funding; infrastructure is an internal allocation. StormBot is a tool, not financial advice — past performance does not guarantee future results, weather trading carries risk, and you should never deploy more than you can afford to lose. Questions? @stormbot_trade.