From 5f7537a01db24bf9da8a8ca9a23d290ac8bed4a9 Mon Sep 17 00:00:00 2001 From: tigerenwork Date: Sun, 7 Jun 2026 22:52:48 +0800 Subject: [PATCH] Refactor code structure for improved readability and maintainability --- data/data_quality_report.txt | 37 ++ data/etf_price_panel_clean.csv | 1044 ++++++++++++++++++++++++++++++++ data/etf_returns_panel.csv | 1044 ++++++++++++++++++++++++++++++++ demo_akshare_data.py | 59 +- demo_tushare_data.py | 4 +- requirements.txt | 3 + 6 files changed, 2164 insertions(+), 27 deletions(-) create mode 100644 data/data_quality_report.txt create mode 100644 data/etf_price_panel_clean.csv create mode 100644 data/etf_returns_panel.csv diff --git a/data/data_quality_report.txt b/data/data_quality_report.txt new file mode 100644 index 0000000..405e692 --- /dev/null +++ b/data/data_quality_report.txt @@ -0,0 +1,37 @@ +============================================================ +数据质量报告 / Data Quality Report +生成时间: 2026-06-07T16:05:29.175368 +数据源: AKShare (fund_etf_hist_em) +============================================================ + +159995 (芯片ETF): + 日期范围: 2021-02-04 ~ 2025-05-30 (1043 天) + 原始缺失: 265 天 (17.1%) + 日均收益率: +0.000172 + 日波动率: 0.021145 + 最大日涨幅: +10.01% + 最大日跌幅: -9.05% + +159819 (人工智能ETF): + 日期范围: 2021-02-04 ~ 2025-05-30 (1043 天) + 原始缺失: 421 天 (27.1%) + 日均收益率: +0.000163 + 日波动率: 0.019471 + 最大日涨幅: +10.07% + 最大日跌幅: -9.95% + +516160 (新能源ETF): + 日期范围: 2021-02-04 ~ 2025-05-30 (1043 天) + 原始缺失: 510 天 (32.8%) + 日均收益率: -0.000343 + 日波动率: 0.020161 + 最大日涨幅: +10.07% + 最大日跌幅: -9.98% + +159928 (消费ETF): + 日期范围: 2021-02-04 ~ 2025-05-30 (1043 天) + 原始缺失: 0 天 (0.0%) + 日均收益率: -0.000380 + 日波动率: 0.015514 + 最大日涨幅: +10.01% + 最大日跌幅: -9.94% \ No newline at end of file diff --git a/data/etf_price_panel_clean.csv b/data/etf_price_panel_clean.csv new file mode 100644 index 0000000..8783448 --- /dev/null +++ b/data/etf_price_panel_clean.csv @@ -0,0 +1,1044 @@ +,159995,159819,516160,159928 +2021-02-04,1.239,0.922,3.131,1.381 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+2025-05-26,0.009228187919463116,0.005537098560354448,-0.00825991189427322,-0.0024449877750610804 +2025-05-27,-0.017456359102244523,-0.014317180616740144,-0.0049972237645752315,0.0 +2025-05-28,-0.009306260575296044,-0.0022346368715083775,-0.007254464285714302,0.004901960784313708 +2025-05-29,0.018787361229718247,0.023516237402015694,0.006745362563237878,0.0 +2025-05-30,-0.014249790444258226,-0.01750547045951867,-0.009491903964265691,0.0 diff --git a/demo_akshare_data.py b/demo_akshare_data.py index 43cea5d..d3ebd2e 100644 --- a/demo_akshare_data.py +++ b/demo_akshare_data.py @@ -32,12 +32,20 @@ from datetime import datetime, timedelta import time import os +# ── 绕过系统代理,直连东方财富 ── +# macOS 上的 Clash/小火箭等代理工具的出口 IP 容易被东方财富反爬封禁。 +# 设置环境变量让 requests 库对 eastmoney.com 不走代理。 +os.environ["NO_PROXY"] = os.environ.get("NO_PROXY", "") + ",eastmoney.com,eastmoneyfutures.com,10jqka.com.cn" +os.environ["no_proxy"] = os.environ["NO_PROXY"] + # ── 检查 akshare 是否安装 ── try: import akshare as ak print(f"✓ AKShare 版本: {ak.__version__}") except ImportError: - print("请先安装 AKShare: pip install akshare") + print("❌ AKShare 未安装。请在 trading conda 环境中执行:") + print(" conda activate trading") + print(" pip install akshare") raise print("=" * 68) @@ -118,18 +126,26 @@ def fetch_etf_safe(code: str, start: str, end: str, max_retries: int = 3): end_date=end, adjust="qfq", # 前复权 ) - time.sleep(0.5) # 礼貌限速,避免被封 IP return df except Exception as e: - print(f" ⚠ {code} 第 {attempt+1} 次获取失败: {e}") + err_msg = str(e) + if "ProxyError" in err_msg or "RemoteDisconnected" in err_msg: + wait = (attempt + 1) * 5 # 代理/连接问题,等更久 + print(f"\n ⚠ {code} 连接被拒绝 (代理/反爬),{wait}s 后重试...") + else: + wait = 2.0 + print(f"\n ⚠ {code} 第 {attempt+1} 次获取失败: {e}") if attempt < max_retries - 1: - time.sleep(2.0) - print(f" ✗ {code} 全部 {max_retries} 次获取失败,跳过") + time.sleep(wait) + print(f"\n ✗ {code} 全部 {max_retries} 次获取失败,跳过") return None etf_data = {} -for code, name in ETF_UNIVERSE.items(): +for i, (code, name) in enumerate(ETF_UNIVERSE.items()): + if i > 0: + # 请求间隔 + 随机抖动,避免触发东方财富反爬 + time.sleep(2.0 + np.random.uniform(0, 1.5)) print(f" 获取 {code} ({name})...", end=" ") df = fetch_etf_safe(code, START_DATE, END_DATE) if df is not None: @@ -234,26 +250,17 @@ if index_data: print("\n[§4] 获取北向资金数据") try: - # 北向资金日频净流入 - north_flow = ak.stock_hsgt_north_net_flow_in_em(symbol="北上") - if north_flow is not None and len(north_flow) > 0: - print(f" 北向资金净流入: {north_flow.shape}") - print(f" 列名: {list(north_flow.columns)}") - # 标准化为通用格式 - if "date" in north_flow.columns and "value" in north_flow.columns: - north_flow = north_flow.rename(columns={"date": "日期", "value": "净流入_亿"}) - print(f" 最新数据:\n{north_flow.tail(3)}") - else: - print(" 未获取到北向资金数据 (接口可能已变更)") - - time.sleep(0.5) - - # 沪深港通历史资金流向 (更详细) - hsgt = ak.stock_hsgt_hist_em(symbol="沪股通") - if hsgt is not None and len(hsgt) > 0: - print(f"\n 沪深港通历史资金: {hsgt.shape}") - print(f" 列名: {list(hsgt.columns)}") - print(f" 最新 3 行:\n{hsgt.tail(3)}") + # 北向资金: stock_hsgt_hist_em 获取沪股通/深股通历史资金流向 + for market, label in [("沪股通", "沪股通(北向)"), ("深股通", "深股通(北向)")]: + try: + hsgt = ak.stock_hsgt_hist_em(symbol=market) + if hsgt is not None and len(hsgt) > 0: + print(f" {label}: {hsgt.shape}") + print(f" 列名: {list(hsgt.columns)}") + print(f" 最新 3 行:\n{hsgt.tail(3)}") + time.sleep(1.5) # 避免触发反爬 + except Exception as e: + print(f" {label} 获取失败: {e}") except Exception as e: print(f" 北向资金获取失败: {e}") diff --git a/demo_tushare_data.py b/demo_tushare_data.py index d38e7be..76bcedf 100644 --- a/demo_tushare_data.py +++ b/demo_tushare_data.py @@ -47,7 +47,9 @@ try: import tushare as ts print(f"✓ Tushare 版本: {ts.__version__}") except ImportError: - print("请先安装 Tushare: pip install tushare") + print("❌ Tushare 未安装。请在 trading conda 环境中执行:") + print(" conda activate trading") + print(" pip install tushare") raise print("=" * 68) diff --git a/requirements.txt b/requirements.txt index 6e27488..2251404 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,3 +2,6 @@ numpy pandas matplotlib scipy +scikit-learn +akshare +tushare \ No newline at end of file