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Polymarket World Cup Player Goal Value

作者 alyna123t · GitHub ↗ · v0.1.6 · MIT-0
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在 OpenClaw 中安装
/install polymarket-world-cup-player-goal-value
功能描述
Trade Polymarket player-goal YES markets (World Cup + league + match props) using role/minutes/penalty/value scoring and patient limit orders.
使用说明 (SKILL.md)

Polymarket Player Goal Value

This skill implements a value framework for player-goal YES markets (World Cup + league + match-level props) using real player-level scoring data.

It models fair value using:

  • real historical goals/90
  • expected minutes per appearance (from real minutes/games)
  • role from position (F/M/D/G)
  • small penalty-goal uplift (from goals vs non-penalty goals)

Then it places patient limit buy ladders only when fair value edge exceeds a threshold.

Reference inspiration: https://x.com/Predicti0r/status/2061791808158400570

What it does

  • Scans active player-goal markets from Simmer imports
  • Loads single-source player data from data/understat_players_recent_top5.csv
  • Converts player stats into fair P(score >= 1) with a Poisson model
  • Skips unknown players (no fallback guessing)
  • Uses ask price for edge checks (fair - ask_yes >= min_edge)
  • Applies spread/slippage quality gates + optional context safeguards
  • Places laddered limit orders (GTC) at discounted prices from fair
  • Enforces cooldown + daily budget controls
  • Supports --venue (sim, polymarket, kalshi) for testing and deployment

Defaults

  • Dry-run by default (no real orders)
  • min_edge: 0.06
  • max_position_usd: 12
  • daily_budget_usd: 40
  • max_trades_per_run: 3
  • limit ladder: 8c / 5c / 3c below fair with 25% / 35% / 40% allocation

Run

cd skills/polymarket-world-cup-player-goal-value

# refresh player stats from the free Understat connector
python scripts/fetch_understat_players.py --seasons 2026,2025,2024 --min-minutes 300

python player_goal_value.py --config
python player_goal_value.py --venue sim                  # dry run in $SIM venue
python player_goal_value.py --venue sim --positions      # inspect open sim positions
python player_goal_value.py --venue polymarket --live    # live orders on Polymarket

Tune

python player_goal_value.py --set min_edge=0.08
python player_goal_value.py --set max_position_usd=20
python player_goal_value.py --set daily_budget_usd=75
python player_goal_value.py --set limit_offsets_cents=10,6,4
python player_goal_value.py --set limit_splits=0.2,0.3,0.5

Notes

  • Uses free Understat player data (top 5 leagues) for goals, non-penalty goals, minutes, and role.
  • Latest season in --seasons is included only if upstream sources already expose player rows (e.g. 2026 may be empty pre-kickoff).
  • Unknown player markets are skipped instead of falling back to synthetic priors.
  • Designed for low-liquidity conditions where market chasing is penalized.
  • Start in dry-run/sim and tune expected_tournament_matches, expected_single_market_matches, expected_season_market_matches, min_edge, and minute filters after collecting outcomes.

Bugfixes applied in v0.1.6

  • Added fallback discovery search via /api/sdk/markets?q=... and merged + deduped results with snapshot feed to recover missing player-goal candidates.
  • Added sim-only proxy quote option (allow_proxy_price_in_sim_only) so missing asks in $SIM no longer block all execution tests.
  • Fixed venue-specific trade payload: only send price + GTC on polymarket; sim/kalshi now submit supported market orders.
  • --positions now queries live account context so it reflects executed sim orders without requiring a separate --live flag.
  • Existing v0.1.1 fixes retained: venue plumbing, dry-run state isolation, ask-based edge checks, SDK-managed price normalization.

Deterministic spec (Skill Builder style)

Signal

  • Player fair-value estimate from weighted priors:
    • penalties, expected matches, minutes certainty, role centrality, mismatch upside

Entry logic

  • Require fair_yes - ask_yes >= min_edge
  • Build discounted limit ladder below fair value
  • Enter only when spread/slippage/cooldown/budget gates pass

Exit logic

  • v0.1 focuses on disciplined entry only
  • Exit handling can be layered as explicit sell rules in future version

Market selection

  • Active Polymarket-imported World Cup “player to score at least one goal” markets

Position sizing

  • Fixed per-market cap max_position_usd
  • Ladder split from limit_splits

Risk controls

  • max_spread, max_slippage_pct
  • cooldown_hours
  • max_trades_per_run
  • daily_budget_usd
  • optional context safeguards (disable with --no-safeguards)
安全使用建议
Install only if you are comfortable granting a Simmer API key to a skill that can place live trades. Start in dry-run or sim, keep budgets low, and prefer live polymarket mode if you expect priced GTC limit orders; review or modify the code before using kalshi/live or before allowing non-World-Cup player-goal markets.
能力标签
cryptorequires-walletrequires-sensitive-credentials
能力评估
Purpose & Capability
The core purpose is coherent: it analyzes player-goal prediction markets using Understat data and can place buy orders through Simmer/Polymarket-style venues. The capability is high impact because it can use SIMMER_API_KEY to place live financial trades.
Instruction Scope
The documentation repeatedly promises patient discounted limit ladders, but the code only sends explicit GTC price limits for polymarket; sim and kalshi submit trades without price/order_type. The title and deterministic spec emphasize World Cup markets, while the description and code also allow league, season, and match-level player-goal markets.
Install Mechanism
Install metadata declares the required SIMMER_API_KEY and simmer-sdk dependency, has no cron schedule, and sets autostart to false.
Credentials
Network access to Simmer and Understat, reading the bundled CSV, and writing local cooldown/spend state are expected for the stated trading workflow, but the sensitive API key should be treated as account-authorizing.
Persistence & Privilege
No hidden background persistence was found. The skill persists only daily_spend.json and cooldown_state.json after live runs, but live orders themselves can create real financial exposure.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install polymarket-world-cup-player-goal-value
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /polymarket-world-cup-player-goal-value 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.6
v0.1.6 expands market coverage, improves execution reliability, and fixes several bugs: - Added fallback discovery search to find and deduplicate missing player-goal markets. - Enabled proxy quote option in simulation mode, preventing missing ask prices from blocking sim execution. - Fixed trade payloads: only send supported arguments per venue, resolving order placement issues. - Improved `--positions` command to accurately reflect executed sim orders without needing `--live`. - Retained previous fixes, including dry-run isolation, robust edge checks, and price normalization.
元数据
Slug polymarket-world-cup-player-goal-value
版本 0.1.6
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Polymarket World Cup Player Goal Value 是什么?

Trade Polymarket player-goal YES markets (World Cup + league + match props) using role/minutes/penalty/value scoring and patient limit orders. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 35 次。

如何安装 Polymarket World Cup Player Goal Value?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install polymarket-world-cup-player-goal-value」即可一键安装,无需额外配置。

Polymarket World Cup Player Goal Value 是免费的吗?

是的,Polymarket World Cup Player Goal Value 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Polymarket World Cup Player Goal Value 支持哪些平台?

Polymarket World Cup Player Goal Value 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Polymarket World Cup Player Goal Value?

由 alyna123t(@alyna123t)开发并维护,当前版本 v0.1.6。

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