🧪 Skills

Sports & Championships Trader

Trades Polymarket prediction markets on sports championships, tournament outcomes, MVP awards, transfer windows, and season milestones. Use when you want to...

v1.0.0
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Description


name: polymarket-sports-live-trader description: Trades Polymarket prediction markets on sports championships, tournament outcomes, MVP awards, transfer windows, and season milestones. Use when you want to capture alpha on sports markets using league table data, injury reports, and Elo rating signals. metadata: author: Diagnostikon version: "1.0" displayName: Sports & Championships Trader difficulty: intermediate

Sports & Championships Trader

This is a template. The default signal is keyword-based market discovery combined with probability-extreme detection — remix it with the data sources listed in the Edge Thesis below. The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.

Strategy Overview

Elo/power-ranking divergence from market price. Remix: SofaScore/FotMob API, Elo rating systems, injury report feeds, transfermarkt.com data, ESPN API.

Edge Thesis

Sports prediction markets are dominated by passionate fans who bet emotionally on their teams. This creates systematic pricing inefficiencies:

  • Fan loyalty bias: Supporters of popular clubs (Real Madrid, Liverpool, Man City, Lakers) consistently overpay YES, creating structural NO value
  • Injury information lag: Injury reports drop on official team websites 24–48h before markets fully reprice — medical staff confirms availability closer to match
  • Elo vs market divergence: Quantitative Elo/power rankings are well-calibrated; when they diverge >15% from Polymarket implied probability, edge exists
  • DAZN-Polymarket partnership: Live broadcast embeds mean high-frequency in-game markets are becoming available — volatility spikes at goals/red cards

Remix Signal Ideas

Safety & Execution Mode

The skill defaults to paper trading (venue="sim"). Real trades only with --live flag.

Scenario Mode Financial risk
python trader.py Paper (sim) None
Cron / automaton Paper (sim) None
python trader.py --live Live (polymarket) Real USDC

autostart: false and cron: null — nothing runs automatically until you configure it in Simmer UI.

Required Credentials

Variable Required Notes
SIMMER_API_KEY Yes Trading authority. Treat as high-value credential.

Tunables (Risk Parameters)

All declared as tunables in clawhub.json and adjustable from the Simmer UI.

Variable Default Purpose
SIMMER_MAX_POSITION See clawhub.json Max USDC per trade
SIMMER_MIN_VOLUME See clawhub.json Min market volume filter
SIMMER_MAX_SPREAD See clawhub.json Max bid-ask spread
SIMMER_MIN_DAYS See clawhub.json Min days until resolution
SIMMER_MAX_POSITIONS See clawhub.json Max concurrent open positions

Dependency

simmer-sdk by Simmer Markets (SpartanLabsXyz)

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Compatible Platforms

Pricing

Free

Related Configs