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Forecast changes
Model runs shift maximum-temperature probabilities before markets fully absorb the update.
Trade the Weather Before the World Notices.
An autonomous Polymarket bot that watches forecast models, tracks probability shifts, and surfaces temperature-market opportunities before consensus catches up.
About us
Built quietly. Tuned for people who trade probability, not noise.
Weathrly combines forecast monitoring, market tracking, and probability logic into a single signal layer designed for temperature-native prediction markets.
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Active users
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WR
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Cities monitored
The gap
Weather moves faster than markets.
Forecast models update constantly. Market odds lag. The edge lives in the gap between meteorology, timing, and probability.
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Market inefficiencies
Temperature contracts can drift away from the latest probabilistic signal and event timing.
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Automated monitoring
A tireless agent watches city thresholds, model confidence, and market pricing around the clock.
Signal architecture
From forecast to position.
A quiet technical system for a fast-moving probabilistic surface.
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Ingests weather data
Pulls model updates, city thresholds, daily highs, and event timing into a normalized probability layer.
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Watches Polymarket odds
Compares contract prices, liquidity, implied probabilities, spreads, and resolution windows.
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Detects probability mismatch
Calculates deltas between forecasted maximum-temperature probability and market-implied probability.
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Sends signals or executes strategy
Routes signals into dashboards, alert channels, or execution logic behind your own risk rules.
Capability layer
Built for weather-native prediction markets.
Everything below follows the same cinematic blue intelligence aesthetic as the landing video.
Real-time forecast monitoring
Polymarket market tracking
Probability delta detection
Weather-event classification
Risk thresholds
Signal dashboard
Backtesting-ready logic
Telegram / Discord alerts
Live dashboard preview
Signals that feel calm because the system is not.
One screen for forecast probability, predicted temperature, confidence, and market state. Product preview only — but designed to feel real.
New signal detected
Highest temperature in London on April 22?
Confidence: High
Prediction
15°C
Expected daily high
Signal type
Temp
Highest temperature market
Resolution date
Apr 22
London local time
Structured readout
Model suggests 15°C
The system classifies this as a highest-temperature signal with stable confidence and clean event timing.
Market state
City: London
Date: April 22
Status: Active
Product preview with fictional data. Signals are informational and designed for configurable strategy review.
Not a weather app. Not a trading bot. A probability engine.
Designed for people who understand that forecasts are not facts — they are moving probability surfaces. The bot turns temperature shifts, forecast revisions, and market lag into structured market intelligence.