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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>
54 lines
2.4 KiB
Python
54 lines
2.4 KiB
Python
"""演示：个股资金流向。
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通过 MacClient 的 get_capital_flow() 获取指定股票多日资金流向数据，按交易日倒序排列。
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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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CapitalFlowData dataclass 字段:
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date str 交易日期（YYYYMMDD 格式字符串）
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main_in float 主力流入（= large_in + mid_in）
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main_out float 主力流出（= large_out + mid_out）
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main_net float 主力净流入（= main_in - main_out）
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small_in float 小单流入
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small_out float 小单流出
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small_net float 小单净流入
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mid_in float 中单流入
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mid_out float 中单流出
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mid_net float 中单净流入
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large_in float 大单流入
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large_out float 大单流出
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large_net float 大单净流入
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返回 DataFrame 列说明:
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date object 交易日期
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main_in float 主力流入金额
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main_out float 主力流出金额
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main_net float 主力净流入金额
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small_in float 小单流入金额
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small_out float 小单流出金额
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small_net float 小单净流入金额
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mid_in float 中单流入金额
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mid_out float 中单流出金额
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mid_net float 中单净流入金额
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large_in float 大单流入金额
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large_out float 大单流出金额
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large_net float 大单净流入金额
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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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# 获取贵州茅台资金流向
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df = c.get_capital_flow(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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# date main_in main_out main_net small_in small_out small_net mid_in mid_out mid_net large_in large_out large_net
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# 20250515 568000000 492000000 76000000 125000000 148000000 -23000000 185000000 162000000 23000000 258000000 182000000 76000000
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# 20250514 612000000 585000000 27000000 138000000 155000000 -17000000 198000000 178000000 20000000 276000000 252000000 24000000
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# 20250513 535000000 498000000 37000000 118000000 132000000 -14000000 172000000 158000000 14000000 245000000 208000000 37000000
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# 20250512 589000000 545000000 44000000 132000000 145000000 -13000000 190000000 168000000 22000000 267000000 230000000 37000000
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# 20250509 625000000 598000000 27000000 145000000 160000000 -15000000 205000000 185000000 20000000 280000000 253000000 27000000
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