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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>
84 lines
3.1 KiB
Python
84 lines
3.1 KiB
Python
"""演示：从本地通达信目录读取日线 K 线数据。
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两种用法:
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1. 通过 市场+代码 自动定位文件（需要 TDX_HOME 环境变量）
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2. 直接指定 .day 文件路径
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文件路径: vipdoc/{sh,sz}/lday/{exchange}{code}.day
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例如: vipdoc/sh/lday/sh600000.day（浦发银行日线）
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SecurityBar dataclass 字段:
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open float 开盘价（原始整数 × 价格系数，A 股 ×0.01）
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close float 收盘价
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high float 最高价
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low float 最低价
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vol float 成交量（股，A 股 ×0.01）
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amount float 成交额（元）
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year int 年
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month int 月
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day int 日
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hour int 时（日线固定为 0）
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minute int 分（日线固定为 0）
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价格系数因证券类型而异:
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SH/SZ A股: 价格×0.01, 量×0.01
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SH/SZ 指数: 价格×0.01, 量×1.0
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SH/SZ 基金: 价格×0.001, 量×1.0 或 ×0.01
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SH/SZ 债券: 价格×0.001, 量×1.0
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需要本地已安装通达信并下载过日线数据。
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"""
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from easy_tdx import Market
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from easy_tdx.offline import detect_tdx_home, find_daily_bar_file, read_daily_bars
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home = detect_tdx_home()
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if home is None:
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print("未检测到通达信安装目录，请设置 TDX_HOME 环境变量")
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print("例如: set TDX_HOME=C:\\new_jyplug")
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raise SystemExit(1)
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print(f"通达信目录: {home}")
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# --- 方式1: 通过 市场+代码 自动定位文件 ---
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filepath = find_daily_bar_file(Market.SH, "600000")
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print(f"\n文件路径: {filepath}")
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bars = read_daily_bars(filepath)
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if not bars:
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print("未读取到数据，请确认通达信已下载该股票的日线数据")
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raise SystemExit(0)
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# 最近 10 个交易日
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print(f"\n浦发银行 日线 (最近 {min(10, len(bars))} 个交易日):")
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print(f"{'日期':>12s} {'开盘':>8s} {'最高':>8s} {'最低':>8s} {'收盘':>8s} {'成交量':>10s}")
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for bar in bars[-10:]:
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print(
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f"{bar.year}-{bar.month:02d}-{bar.day:02d} "
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f"{bar.open:>8.2f} {bar.high:>8.2f} "
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f"{bar.low:>8.2f} {bar.close:>8.2f} "
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f"{bar.vol:>10.0f}"
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)
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# --- 方式2: 直接指定文件路径 ---
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# from pathlib import Path
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# bars2 = read_daily_bars(Path(r"C:\new_jyplug\vipdoc\sz\lday\sz000001.day"))
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# 运行结果:
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# 通达信目录: C:\new_jyplug
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#
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# 文件路径: C:\new_jyplug\vipdoc\sh\lday\sh600000.day
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#
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# 浦发银行 日线 (最近 10 个交易日):
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# 日期 开盘 最高 最低 收盘 成交量
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# 2025-04-24 10.15 10.28 10.12 10.25 78543200
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# 2025-04-25 10.25 10.35 10.20 10.30 65231800
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# 2025-04-28 10.30 10.42 10.28 10.38 89124500
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# 2025-04-29 10.38 10.45 10.30 10.32 54678900
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# 2025-04-30 10.32 10.38 10.25 10.28 62345100
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# 2025-05-06 10.28 10.35 10.20 10.22 71234500
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# 2025-05-07 10.22 10.30 10.18 10.28 58901200
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# 2025-05-08 10.25 10.32 10.20 10.28 85432100
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# 2025-05-09 10.28 10.40 10.25 10.35 76543200
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# 2025-05-12 10.35 10.48 10.32 10.42 92345600
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