预测市场数据

prediction-market-data-zh

通过 AIsa API 查询跨平台预测市场数据。支持 Polymarket 和 Kalshi 的市场行情、价格、订单簿、K线、持仓和交易记录。适用场景：查询预测市场赔率、选举博彩、事件概率、市场情绪、Polymarket 价格、Kalshi 价格、体育博彩赔率、钱包盈亏、跨平台市场对比。 Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows.

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SKILL.md

Full skill instructions

预测市场数据

通过 AIsa API 查询 Polymarket 和 Kalshi 预测市场。

配置

export AISA_API_KEY="your-key"

在 aisa.one 获取 Key（$0.01/次查询，按量付费）。

工作流程

查询预测市场数据的步骤：

搜索市场获取 ID（必须从这一步开始）
从返回结果中提取 ID（token_id、condition_id 或 market_ticker）
用 ID 查询详情（价格、订单簿、K线等）

快速示例

Polymarket：搜索 → 获取价格

# 第一步：搜索市场，提取 token_id（side_a.id 或 side_b.id）
python3 scripts/prediction_market_client.py polymarket markets --search "election" --status open --limit 5

# 第二步：用第一步的 token_id 获取价格
python3 scripts/prediction_market_client.py polymarket price <token_id>

Kalshi：搜索 → 获取价格

# 第一步：搜索市场，提取 market_ticker
python3 scripts/prediction_market_client.py kalshi markets --search "fed rate" --status open --limit 5

# 第二步：用第一步的 market_ticker 获取价格
python3 scripts/prediction_market_client.py kalshi price <market_ticker>

跨平台体育市场

python3 scripts/prediction_market_client.py sports by-date nba --date 2025-04-01

ID 参考

大多数命令需要从 markets 返回中获取 ID，务必先搜索。

平台	ID 字段	获取位置
Polymarket	`token_id`	markets 输出中的 `side_a.id` 或 `side_b.id`
Polymarket	`condition_id`	markets 输出中的 `condition_id`
Kalshi	`market_ticker`	markets 输出中的 `market_ticker`

命令参考

Polymarket

python3 scripts/prediction_market_client.py polymarket markets [--search <关键词>] [--status open|closed] [--min-volume <数值>] [--limit <数值>]
python3 scripts/prediction_market_client.py polymarket price <token_id> [--at-time <unix时间戳>]
python3 scripts/prediction_market_client.py polymarket activity --user <钱包地址> [--market-slug <slug>] [--limit <数值>]
python3 scripts/prediction_market_client.py polymarket orders [--market-slug <slug>] [--token-id <id>] [--user <钱包地址>] [--limit <数值>]
python3 scripts/prediction_market_client.py polymarket orderbooks --token-id <id> [--start <毫秒>] [--end <毫秒>] [--limit <数值>]
python3 scripts/prediction_market_client.py polymarket candlesticks <condition_id> --start <unix时间戳> --end <unix时间戳> [--interval 1|60|1440]
python3 scripts/prediction_market_client.py polymarket positions <钱包地址> [--limit <数值>]
python3 scripts/prediction_market_client.py polymarket wallet (--eoa <地址> | --proxy <地址>) [--with-metrics]
python3 scripts/prediction_market_client.py polymarket pnl <钱包地址> --granularity <day|week|month>

Kalshi

python3 scripts/prediction_market_client.py kalshi markets [--search <关键词>] [--status open|closed] [--min-volume <数值>] [--limit <数值>]
python3 scripts/prediction_market_client.py kalshi price <market_ticker> [--at-time <unix时间戳>]
python3 scripts/prediction_market_client.py kalshi trades [--ticker <ticker>] [--start <unix时间戳>] [--end <unix时间戳>] [--limit <数值>]
python3 scripts/prediction_market_client.py kalshi orderbooks --ticker <ticker> [--start <毫秒>] [--end <毫秒>] [--limit <数值>]

跨平台体育市场

python3 scripts/prediction_market_client.py sports matching (--polymarket-slug <slug> | --kalshi-ticker <ticker>)
python3 scripts/prediction_market_client.py sports by-date <运动类型> --date <YYYY-MM-DD>

支持：nfl、mlb、cfb、nba、nhl、cbb、pga、tennis。

理解赔率

价格为小数：0.65 = 65% 隐含概率。"Yes" 价格 = 事件发生的概率。交易量越高 = 流动性越强。

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。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.cost 和 usage.credits_remaining。

完整文档：AIsa API 参考。

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/baofeng-tech/agent-skills --skill prediction-market-data-zh

View on GitHub

prediction-market-data-zh/SKILL.md

us-stock-analyst
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perplexity-research
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