weatherclaw

Automated weather alpha | Trading NOAA vs Polymarket and printing profits | Paper → Live

CA: 25MmLtGFHQ7J2AQTVmoxLbrPkXJEhEJNdUdrXpocpump

[weatherclaw @tryweatherclaw]

WeatherClaw is running 24/7. Trading weather. Logging every move publicly.

Watch the dashboard. Read the code. Hold the token.

https://t.co/tLguzrm00Y
CA: 25MmLtGFHQ7J2AQTVmoxLbrPkXJEhEJNdUdrXpocpump

[weatherclaw @tryweatherclaw]

Why Polymarket weather

Weather markets on Polymarket settle from real NOAA station data.

Not exit polls. Not vibes. Not a committee.

A thermometer says the number. You either win or you don't.

Cleanest edge in prediction markets.

[weatherclaw @tryweatherclaw]

Let's goooo

[weatherclaw @tryweatherclaw]

WeatherClaw runs a Weather Model Arbitrage strategy.
It treats supercomputer weather models as truth. Compares them to what @Polymarket is pricing. Trades only when the market is clearly wrong.
Science vs. human intuition.

Most traders use basic apps or gut feel.
WeatherClaw uses ensemble forecasting from 31+ model variations to calculate real probabilities.
Not “it will rain.”
But “81% probability of rain.” That becomes our fair value.

The Brain: Blends three major global models
• GFS (American)
• ECMWF (European — historically most accurate, heavier weight)
• ICON (German)
Weighted average = consensus probability.
Example: 80% + 85% + 75% → ~81% fair value.

Then simple edge math:
Edge = Model Probability − Market Price
81% model vs 60¢ on Polymarket = +21% edge.
That’s when we strike. Not every edge is equal. We rank by model agreement:
LOCK → Strong consensus + solid edge
STRONG → Good agreement
SAFE / NEAR-SAFE → Needs bigger edge to justify
Agreement between models = confidence.

WeatherClaw exploits mispricing between supercomputer data and human-driven markets.
It’s not gambling. It’s systematic edge.
Run it in paper mode today and see the signals yourself.
#WeatherClaw #PredictionMarkets

[weatherclaw @tryweatherclaw]

WeatherClaw runs on a $6 VPS.

TypeScript + Bun + SQLite. No cloud. No Docker swarm. No k8s.

Scans 194 markets every 15 minutes. Settles daily. Logs everything.

CA: 25MmLtGFHQ7J2AQTVmoxLbrPkXJEhEJNdUdrXpocpump

[weatherclaw @tryweatherclaw]

WeatherClaw is fully open source.

Clone it. Run it. Improve it. Fork it and trade your own cities.

https://t.co/ywT7q1H5hu

CA: 25MmLtGFHQ7J2AQTVmoxLbrPkXJEhEJNdUdrXpocpump

[weatherclaw @tryweatherclaw]

We are also opensource and we will be sharing our source code soon

[weatherclaw @tryweatherclaw]

What it's trading

Right now WeatherClaw has 20 open positions across NYC, Chicago, Miami, Atlanta, Seattle, and Dallas.

Temperature bracket markets. Binary. Settled by actual weather station data.

No narrative risk. Just math vs. weather.

[weatherclaw @tryweatherclaw]

Here is a demo on how WeatherClaw works and looks

CA: 25MmLtGFHQ7J2AQTVmoxLbrPkXJEhEJNdUdrXpocpump

https://t.co/tLguzrm00Y

[weatherclaw @tryweatherclaw]

How the edge works

WeatherClaw doesn't guess. It runs GFS, ECMWF, and ICON ensemble models independently, then only
trades when 2+ models agree on the same outcome.

Disagreement = no trade. That's the whole risk system.

[weatherclaw @tryweatherclaw]

WeatherClaw dashboard is public.

+$236,621 P&L. 406 trades. 20 open positions right now.

Every signal, every bracket, every city — live.

https://t.co/pTI6rLgcUM

[weatherclaw @tryweatherclaw]

WeatherClaw is live on @Pumpfun

A bot that reads 122 weather forecast models and trades Polymarket automatically. Every trade is
transparent. Every signal was logged and now you can profit.

CA: 25MmLtGFHQ7J2AQTVmoxLbrPkXJEhEJNdUdrXpocpump

https://t.co/tLguzrm00Y

[weatherclaw @tryweatherclaw]

WeatherClaw runs a Weather Model Arbitrage strategy.
It treats supercomputer weather models as truth. Compares them to what @Polymarket is pricing. Trades only when the market is clearly wrong.
Science vs. human intuition.

Most traders use basic apps or gut feel.
WeatherClaw uses ensemble forecasting from 31+ model variations to calculate real probabilities.
Not “it will rain.”
But “81% probability of rain.” That becomes our fair value.

The Brain: Blends three major global models
• GFS (American)
• ECMWF (European — historically most accurate, heavier weight)
• ICON (German)
Weighted average = consensus probability.
Example: 80% + 85% + 75% → ~81% fair value.

Then simple edge math:
Edge = Model Probability − Market Price
81% model vs 60¢ on Polymarket = +21% edge.
That’s when we strike. Not every edge is equal. We rank by model agreement:
LOCK → Strong consensus + solid edge
STRONG → Good agreement
SAFE / NEAR-SAFE → Needs bigger edge to justify
Agreement between models = confidence.

WeatherClaw exploits mispricing between supercomputer data and human-driven markets.
It’s not gambling. It’s systematic edge.
Run it in paper mode today and see the signals yourself.
#WeatherClaw #PredictionMarkets

[weatherclaw @tryweatherclaw]

WeatherClaw is officially LIVE 🌩️

Our system is now running on a real server — scanning markets, generating signals, and executing paper trades in real time. Every trade is posted publicly for full transparency.

In the latest cycle, 145 markets were scanned with active signals across Atlanta, Miami, Chicago, and New York:

Atlanta — Above 68°F — NO — Edge: +72.8% 🔒
Miami — 76–77°F — YES — Edge: +57.4% 🔒
Chicago — Below 58°F — YES — Edge: +38.1% 🔒
NYC — 38–39°F — YES — Edge: +22.6% 🔒

While NOAA and ECMWF models suggest the market is off, WeatherClaw is taking the opposite side — betting on the data, not the crowd.

Built lean with Bun, TypeScript, GFS + ECMWF data, SQLite, Docker, Nginx, and a cron system scanning every minute and is designed to run 24/7.

This is just the beginning.

$WCLAW

[weatherclaw @tryweatherclaw]

Ever wondered how supercomputer weather models can beat prediction markets?

Meet WeatherClaw — the bot that turns scientific forecasts into edge on Polymarket weather markets.
No guessing. Just data vs. mispricing.

WeatherClaw doesn’t look at your real wallet to generate signals. It uses a configured bankroll (set in .env).
Tell it “assume I have $50” and it calculates everything based on that — even if your actual balance is zero.
Paper mode = pure simulation. No real money risked.
Why? Because Kelly Criterion needs a bankroll number to size trades. Set it to 0 and signals stop completely (trades become $0).
Smart safeguard.
Paper Mode vs Live Mode:
Paper = virtual trades + logs. Run forever risk-free.
Live = same logic, but executes real trades (wallet must have funds).
Signals come from the model. Execution depends on your balance.

[weatherclaw @tryweatherclaw]

https://t.co/IccG6IxVzU