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Weather High-Temp Sniper

Scans Polymarket daily high-temperature markets, auto-imports new ones, then snipes YES positions between 9–10 AM local time when forecast and reality conver...

v1.0.3
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Description


name: polymarket-weather-high-temp-sniper description: Scans Polymarket daily high-temperature markets, auto-imports new ones, then snipes YES positions between 9–10 AM local time when forecast and reality converge — buys YES at ≥$0.60 during the scan window, or follows crowd volume at 10 AM sharp. Scans Polymarket daily high-temperature markets, auto-imports new ones, then snipes YES positions between 9–10 AM local time when forecast and reality converge — buys YES at ≥$0.40 during the scan window, or follows crowd volume at 10 AM sharp. author: "StefanTaylor" version: "2.0.0" displayName: "Weather High-Temp Sniper" difficulty: "intermediate"

Weather High-Temp Sniper

This is a template. The default signal is the YES market price for Polymarket daily high-temperature markets — remix it by swapping in a NOAA forecast API, OpenMeteo live data, or a custom ML model. The skill handles all the plumbing (market discovery, import, timezone detection, trade execution, TP/SL). Your agent provides the alpha.

Strategy

Polymarket lists daily maximum temperature markets per city (e.g. "Will NYC's highest temperature exceed 72°F on March 12?"). By 9–10 AM local time, the day's temperature trajectory is already largely determined. This skill exploits that convergence window, trading only the YES / warm / above-threshold side.

Phase Overview

Every 5 minutes (cron):
│
├─ PHASE 1 — Auto-Discovery
│   └─ list_importable_markets("highest temperature", "temperature NYC", …)
│       └─ import_market(url) for any untracked Polymarket high-temp market
│
├─ PHASE 2 — Fetch & Filter
│   └─ GET /api/sdk/markets?tags=weather&status=active
│       └─ Keep only "above/exceed" high-temp markets; exclude "below/lowest"
│
├─ PHASE 3 — Timezone Pre-scan
│   └─ Detect city → timezone from question title; log local window status
│
├─ PHASE 4 — Trading Windows
│   ├─ 9:00–9:55 AM local: SCAN → If YES% ≥ PRICE_THRESHOLD → buy 5 shares (total cost = 5 × price)
│   └─ 10:00 AM local: FALLBACK → buy highest-YES% unowned market
│
└─ PHASE 5 — Risk Monitor (optional, ENABLE_TP_SL=true)
    └─ POST /api/sdk/positions/{id}/monitor (stop_loss_pct / take_profit_pct)

What's Swappable (Remix Guide)

Component Default How to remix
Signal Market YES% price Replace with NOAA API forecast, OpenMeteo, custom ML model
Threshold PRICE_THRESHOLD=0.60 Lower for more trades, raise for higher conviction
Window 9–10 AM local Adjust is_in_scan_window() / is_fallback_moment()
Direction YES only (warm/high) Flip to NO for cold/low markets (edit is_highest_temp_market())

Environment Variables

Variable Required Default Description
SIMMER_API_KEY ✅ Yes API key from simmer.markets dashboard
ENABLE_TP_SL No false Enable take-profit / stop-loss monitoring
PRICE_THRESHOLD No 0.40 Minimum YES% to trigger a buy
MAX_AMOUNT_USD No 2.50 Max spend per trade in USD (5 shares × price)
SHARES_PER_ORDER No 5 Number of shares per trade
MAX_RETRY No 1 Retry count on trade failure
TAKE_PROFIT No 0.50 TP ratio (e.g. 0.50 = +50%)
STOP_LOSS No 0.25 SL ratio (e.g. 0.25 = −25%)
REPORT_INTERVAL No 240 Seconds between status reports

Running

# Dry-run (show opportunities, no real trades — default)
python sniper.py

# Live trading
python sniper.py --live

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Compatible Platforms

Pricing

Free

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