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Prediction Market Arbitrage Zh

skill-aisa-team-agent-skills-prediction-market-arbitrage-zh · by AIsa-team

通过 AIsa API 发现 Polymarket 和 Kalshi 预测市场的套利机会。扫描体育市场跨平台价差、比较实时赔率、验证订单簿流动性。适用场景:预测市场套利、跨平台价差、体育博彩套利、赔率对比、无风险利润、市场低效。 Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows.

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Install

$ agentstack add skill-aisa-team-agent-skills-prediction-market-arbitrage-zh

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

预测市场套利

通过 AIsa API 发现 PolymarketKalshi 之间的套利机会。

配置

export AISA_API_KEY="your-key"

aisa.one 获取 Key($0.01/次查询,按量付费)。

工作流程

发现套利机会的步骤:

  1. 扫描匹配市场scan 批量扫描,match 分析特定市场)
  2. 查看价差 — 工具自动计算跨平台价格差异
  3. 验证流动性 — 用 prediction_market_client.py orderbooks 检查订单簿深度后再行动

快速示例

扫描某项运动的套利机会

# 扫描指定日期所有 NBA 市场 — 自动显示价差
python3 scripts/arbitrage_finder.py scan nba --date 2025-04-01

分析特定市场

# 通过 Polymarket slug
python3 scripts/arbitrage_finder.py match --polymarket-slug 

# 通过 Kalshi ticker
python3 scripts/arbitrage_finder.py match --kalshi-ticker 

行动前验证流动性

# 检查两边的订单簿深度
python3 scripts/prediction_market_client.py polymarket orderbooks --token-id 
python3 scripts/prediction_market_client.py kalshi orderbooks --ticker 

命令参考

arbitrage_finder.py — 自动检测

python3 scripts/arbitrage_finder.py scan  --date  [--min-spread ] [--min-liquidity ] [--json]
python3 scripts/arbitrage_finder.py match --polymarket-slug  [--min-spread ] [--min-liquidity ] [--json]
python3 scripts/arbitrage_finder.py match --kalshi-ticker  [--min-spread ] [--min-liquidity ] [--json]

支持:nbanflmlbnhlsoccertennis

predictionmarketclient.py — 原始市场数据

用于手动价格检查和深入分析。

# 搜索市场
python3 scripts/prediction_market_client.py polymarket markets --search  --status open --limit 5
python3 scripts/prediction_market_client.py kalshi markets --search  --status open --limit 5

# 获取价格(使用 markets 输出中的 token_id / market_ticker)
python3 scripts/prediction_market_client.py polymarket price 
python3 scripts/prediction_market_client.py kalshi price 

# 跨平台体育市场匹配
python3 scripts/prediction_market_client.py sports by-date  --date 
python3 scripts/prediction_market_client.py sports matching (--polymarket-slug  | --kalshi-ticker )

# 订单簿深度
python3 scripts/prediction_market_client.py polymarket orderbooks --token-id 
python3 scripts/prediction_market_client.py kalshi orderbooks --ticker 

理解套利

当不同平台上所有互斥结果的合计成本低于 1.0 时,套利机会存在:

> Polymarket 上 "Yes" 价格 0.40 + Kalshi 上 "No" 价格 0.55 = 成本 0.95,保证回报 1.00 → 5.3% 利润。

务必验证订单簿深度 — 没有流动性的价差无法执行。

安全与权限

需要: AISA_API_KEY 环境变量。

所有操作均为只读,通过 HTTPS GET 请求 api.aisa.one。套利价差在本地计算。不执行交易、不连接钱包、除 API Key 外不发送个人数据。每个响应包含 usage.costusage.credits_remaining

完整文档:AIsa API 参考

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.