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feat: add examples (01-08), fix index bars parsing, add ruff hook
- Add example scripts for all API categories (connection, market info, kline, minute, transaction, finance, block, fund flow) - Fix GetIndexBarsCmd: index bar records have 4 extra bytes (advance/ decline counts) that were not consumed, causing pos drift and corrupted dates/volumes for all records after the first - Fix price_limits.py example (SecurityQuote has no name attr) - Fix finance_info.py display (scientific notation -> formatted numbers) - Add PostToolUse ruff hook (scripts/ruff_hook.py) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Claude Opus 4.7
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"""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 xmtdx 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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"""演示:获取个股历史日线资金流向序列。"""
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import pandas as pd
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from xmtdx import TdxClient, Market
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with TdxClient.from_best_host() as c:
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flows = c.get_history_fund_flow(Market.SH, "600519", 0, 10)
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df = pd.DataFrame([{
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"日期": f"{f.year}-{f.month:02d}-{f.day:02d}",
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"超大单净流入(亿)": (f.super_in - f.super_out) / 1e8,
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"大单净流入(亿)": (f.large_in - f.large_out) / 1e8,
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"主力净流入(亿)": f.main_net_inflow / 1e8,
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} for f in flows])
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print(f"贵州茅台 历史资金流向,共 {len(df)} 天:")
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print(df.to_string(index=False))
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