polymarket-weather-bot

Unverified ML strategy on Multi by AadiXD200. BotFinder score 18 out of 100.

Autonomous quantitative trading bot for Polymarket weather derivative markets — multi-model ensemble forecasting, Kelly criterion sizing, live CLOB execution

Source: github

Explorer/Multi/polymarket-weather-bot
18
Data index
MultiMLMedium risk⚠ UnverifiedNEW

polymarket-weather-bot

AadiXD200GitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.4y
BotFinder Analysis

BotFinder analysis pending.

About

polymarket-weather-bot

Polymarket Weather Prediction Bot An autonomous quantitative trading system that identifies and exploits pricing inefficiencies in Polymarket weather derivative markets. The bot ingests multi-model meteorological ensemble forecasts, computes a probability distribution over temperature outcomes, and bets when its model price diverges significantly from the CLOB market price. --- Performance Paper Trading (Simulated fills at real CLOB prices) | Metric | Value | |--------|-------| | Total trades | 63 resolved positions | | Win rate | 82.5% (52W / 11L) | | Gross P&L | +$806.49 USDC | | Total capital deployed | $2,264.15 USDC | | ROI on deployed capital | +35.6% | | Avg model edge at entry | 20.6 percentage points above market price | | Edge range | 2.5pp – 93pp | | Period | Mar 28 – Apr 3, 2026 (7 days) | Direction breakdown: | Side | Trades | Win Rate | P&L | ROI | |------|--------|----------|-----|-----| | NO | 60 | 83% | +$797.68 | +36.1% | | YES | 3 | 67% | +$8.81 | +17.1% | Top 5 trades: | Market | Entry | Size | P&L | ROI | |--------|-------|------|-----|-----| | Houston NO, Mar 28

PythonOpen-sourceforecastingkelly-criterionmachine-learningpythonquantitative-financetrading-bot
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
AadiXD200
Since 2020 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars14
Forks5
Open issues0
LanguagePython
License—
Last update2026-04-05
Created2026-04-05
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