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GitHubandClaude Opus 4.7
50491f9aae
- Package directory: src/xmtdx/ -> src/easy_tdx/ - Import path: from easy_tdx import ... - pip install easy-tdx - Add LICENSE (MIT) with upstream attribution (pytdx, xmtdx) - Add NOTICE with detailed attribution - Update all examples, tests, scripts, docs - Bump version to 1.0.0 BREAKING CHANGE: import path changed from `xmtdx` to `easy_tdx` Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
20 lines
918 B
Python
20 lines
918 B
Python
"""演示：获取个股当日资金流向（基于 L1 逐笔数据统计）。
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资金分为四级: 超大(>100万)、大(20-100万)、中(4-20万)、小(<4万)。
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"""
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import pandas as pd
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from easy_tdx import TdxClient, Market
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with TdxClient.from_best_host() as c:
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flow = c.get_fund_flow(Market.SH, "600519")
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df = pd.DataFrame([
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{"级别": "超大单", "流入(亿)": flow.super_in / 1e8, "流出(亿)": flow.super_out / 1e8},
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{"级别": "大单", "流入(亿)": flow.large_in / 1e8, "流出(亿)": flow.large_out / 1e8},
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{"级别": "中单", "流入(亿)": flow.medium_in / 1e8, "流出(亿)": flow.medium_out / 1e8},
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{"级别": "小单", "流入(亿)": flow.small_in / 1e8, "流出(亿)": flow.small_out / 1e8},
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])
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df["净流入(亿)"] = df["流入(亿)"] - df["流出(亿)"]
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print("贵州茅台 当日资金流向:")
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print(df.to_string(index=False))
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