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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

9,592
Registered traders
across 94 countries
$2,867,133
Member realized P&L
all-time, net to users
71-80%
Average win rate
of all closed positions
2,359
Active this month
traded in last 30 days
$444.79
Avg profit / funded account
6,446 funded wallets
$24,216
Largest single order
one London weather fill

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.

Platform realized P&L — daily (last 30 days)
Bars = profit booked that day · line = cumulative
$0$12.5K$25.0K$37.5K$50.0KApr 24Apr 29May 4May 9May 14May 19$526.4K cumulative$31.5K
Daily profitThu / FriCumulative

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.

Average daily profit by weekday
Mean realized P&L per day, last 30 days
$0$12.5K$25.0K$37.5K$50.0K$16.7KMon$16.1KTue$17.3KWed$26.5KThu$26.7KFri$10.0KSat$9.2KSun
Mon–Wed, weekendThu / Fri (peak)

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:

Top markets by member profit (last 30 days)
Realized P&L by city market
London$73.7KHong Kong$63.7KNew York City$54.2KLos Angeles$43.2KTokyo$37.4KChicago$31.6KMiami$26.8KMoscow$23.7K47 other cities$172.1K

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:

87,209
Order fills (30 days)
≈ 2,907 per day
$7.5M
Volume traded (30 days)
at ~$86 avg fill
37
Fills / active trader
last 30 days
$95.57M
Lifetime volume
1,111,292 total fills

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.

AI compute spend — Anthropic API top-ups
Bars = amount funded that day · line = cumulative spend
$0$1.3K$2.5K$3.8K$5.0KMarAprMay$76.6K total spend
Per-depositCumulative

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.

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