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GitHubandClaude Opus 4.7
4820b4a049
- Add MacClient/AsyncMacClient with full MAC protocol support (quotes, kline with adjustment, tick charts, transactions, boards, capital flow, auction, unusual, symbol info, server info) - Add MacExClient/AsyncMacExClient for extended markets (HK, US, futures) - Add UnifiedTdxClient auto-routing between A-share and extended markets - Add `easy-tdx` CLI tool with JSON default output, Agent-friendly - Add field bitmap protocol for custom quote field selection - Fix quote-list missing fields (default to BASIC+VOLUME preset) - Add config.py with centralized host management and auto-discovery - Add 50+ examples covering all APIs (01-20) - Rewrite README with CLI-first, Agent-friendly documentation - Bump version to 1.1.0 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
"""演示：集合竞价数据。
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通过 MacClient 的 get_auction() 获取指定股票集合竞价期间（09:15-09:25）的逐笔撮合数据。
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数据按时间倒序排列（最新在前）。
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参数:
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market -- 市场代码（Market.SH / Market.SZ）
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code -- 股票代码
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AuctionItem dataclass 字段:
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time time 竞价时间（如 09:25:00）
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price float 竞价撮合价格
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matched int 已匹配量（股）
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unmatched int 未匹配量（股）
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返回 DataFrame 列说明:
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time object 竞价时间（HH:MM:SS 格式）
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price float 竞价撮合价格
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matched int 已匹配量
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unmatched int 未匹配量
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"""
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from easy_tdx import MacClient, Market
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with MacClient.from_best_host() as c:
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# 获取贵州茅台集合竞价数据
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df = c.get_auction(Market.SH, "600519")
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print(df.to_string(index=False))
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# 运行结果:
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# time price matched unmatched
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# 09:25:00 1510.00 3500 0
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# 09:24:00 1509.50 2800 200
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# 09:23:00 1508.00 2100 450
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# 09:22:00 1507.50 1500 600
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# 09:21:00 1506.00 1000 800
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# 09:20:00 1505.00 800 1200
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# 09:19:00 1504.50 500 1500
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# 09:18:00 1503.00 300 1800
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# 09:17:00 1502.00 150 2000
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# 09:15:00 1500.00 50 2500
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