mirror of
https://ghfast.top/https://github.com/aeroxw/easy_tdx_max.git
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- 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>
60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
"""演示:单日分时图数据。
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通过 MacClient 的 get_tick_chart() 获取指定股票当日的分时走势数据。
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返回 MacTickChart dataclass 中的 charts 列表(MacTick),展平为 DataFrame。
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MacTickChart dataclass 字段:
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market int 市场代码
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code str 证券代码
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name str 证券名称
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pre_close float 昨收价
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open float 开盘价
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high float 最高价
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low float 最低价
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close float 收盘价(最新价)
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vol int 总成交量
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amount float 总成交额
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turnover float 换手率
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avg float 均价
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charts list[MacTick] 分时数据点列表
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MacTick dataclass 字段:
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time time 分时时间(如 09:30:00)
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price float 该分钟价格
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avg float 截至该分钟的均价
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vol int 该分钟成交量(股)
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momentum float 动量指标(价格变化方向,正=上涨,负=下跌)
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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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date -- 查询日期(YYYYMMDD 整数),None 表示今天
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返回 DataFrame 列说明:
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time object 分时时间(HH:MM:SS 格式)
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price float 该分钟价格
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avg float 截至该分钟的均价
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vol int 该分钟成交量
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momentum float 动量指标
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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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# 获取贵州茅台当日分时图
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df = c.get_tick_chart(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 avg vol momentum
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# 09:30:00 1510.00 1510.00 150 0.0
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# 09:31:00 1512.00 1511.00 80 2.0
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# 09:32:00 1511.00 1511.00 65 -1.0
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# 09:33:00 1513.00 1511.50 90 2.0
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# 09:34:00 1515.00 1512.20 120 2.0
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# 09:35:00 1514.00 1512.50 100 -1.0
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# 09:36:00 1516.00 1513.00 110 2.0
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# 09:37:00 1515.00 1513.10 85 -1.0
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# 09:38:00 1518.00 1513.80 130 3.0
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# 09:39:00 1517.00 1513.90 95 -1.0
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