{"id":113764,"date":"2026-10-07T12:25:31","date_gmt":"2026-10-07T04:25:31","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/113764.html"},"modified":"2026-10-07T12:25:31","modified_gmt":"2026-10-07T04:25:31","slug":"%e6%89%b9%e9%87%8f%e5%8f%96%e6%95%b0%e6%af%94%e5%be%aa%e7%8e%af%e5%8d%95%e5%8f%96%e5%bf%ab%e5%a4%9a%e5%b0%91%ef%bc%9f%e7%94%a8-alphafeed-klines-batch%e7%bb%99%e5%a4%9a%e8%82%a1%e7%a5%a8%e5%8f%96","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/113764.html","title":{"rendered":"\u6279\u91cf\u53d6\u6570\u6bd4\u5faa\u73af\u5355\u53d6\u5feb\u591a\u5c11\uff1f\u7528 AlphaFeed klines.batch\u7ed9\u591a\u80a1\u7968\u53d6\u6570\u63d0\u901f"},"content":{"rendered":"

\u4e00\u53e5\u8bdd\u56de\u7b54： \u7ed9\u51e0\u5341\u4e0a\u767e\u53ea\u80a1\u7968\u53d6 K \u7ebf，\u7528 for \u5faa\u73af\u4e00\u53ea\u53ea\u8c03\u63a5\u53e3\u4e0d\u4ec5\u6162，\u8fd8\u5bb9\u6613\u89e6\u53d1\u9650\u9891\u3002AlphaFeed \u7684 klines.batch(codes, …) \u4e00\u6b21\u5c31\u80fd\u6279\u91cf\u53d6\u56de（\u5185\u7f6e\u5e76\u53d1\u4e0e\u81ea\u52a8\u5206\u6279），\u5b9e\u6d4b\u6bd4\u6734\u7d20\u5faa\u73af\u5feb\u6570\u500d，\u8fd4\u56de dict{symbol: DataFrame} \u76f4\u63a5\u53ef\u7528\u2014\u2014\u8fd9\u662f\u591a\u6807\u7684\u53d6\u6570\u7684\u6b63\u786e\u59ff\u52bf\u3002<\/p>\n

\u4e3a\u4ec0\u4e48\u4f1a\u6709\u8fd9\u4e2a\u95ee\u9898 \/ \u4f20\u7edf\u505a\u6cd5\u7684\u75db\u70b9<\/h3>\n

\u65b0\u624b\u53d6\u591a\u53ea\u80a1\u7968\u7684\u5199\u6cd5\u901a\u5e38\u662f：<\/p>\n

data =<\/span> {<\/span>}<\/span>
\nfor<\/span> code in<\/span> codes:<\/span>
\n data[<\/span>code]<\/span> =<\/span> af.<\/span>klines.<\/span>get(<\/span>code,<\/span> period=<\/span>"1d"<\/span>,<\/span> count=<\/span>250<\/span>)<\/span> # \u4e32\u884c\u3001\u6162\u3001\u6613\u9650\u9891<\/span><\/p>\n

\u6807\u7684\u4e00\u591a，\u4e32\u884c\u8bf7\u6c42\u7684\u7f51\u7edc\u5f80\u8fd4（RTT）\u7ebf\u6027\u7d2f\u52a0，\u51e0\u767e\u53ea\u8981\u7b49\u5f88\u4e45；\u800c\u4e14\u9ad8\u9891\u4e32\u884c\u8bf7\u6c42\u66f4\u5bb9\u6613\u649e\u4e0a\u63a5\u53e3\u9650\u9891（429）\u3002\u6b63\u786e\u505a\u6cd5\u662f\u628a\u300c\u6279\u91cf\u300d\u4ea4\u7ed9 SDK：\u4e00\u6b21\u8bf7\u6c42\/\u5185\u90e8\u5e76\u53d1\u53d6\u56de\u6240\u6709\u6807\u7684\u3002<\/p>\n

\u5206\u6b65\u9aa4\u89e3\u51b3（\u6bcf\u6b65\u914d\u53ef\u8fd0\u884c\u4ee3\u7801）<\/h3>\n

\u7b2c 1 \u6b65：\u7528 klines.batch \u4e00\u6b21\u53d6\u56de\u591a\u53ea<\/h4>\n

from<\/span> alphafeed import<\/span> AlphaFeed<\/p>\n

af =<\/span> AlphaFeed(<\/span>)<\/span> # \u8bfb\u53d6 ALPHAFEED_API_KEY<\/span><\/p>\n

codes =<\/span> [<\/span>"600519.SH"<\/span>,<\/span> "000001.SZ"<\/span>,<\/span> "601318.SH"<\/span>,<\/span> "000858.SZ"<\/span>,<\/span> "300750.SZ"<\/span>]<\/span>
\ndata =<\/span> af.<\/span>klines.<\/span>batch(<\/span>codes,<\/span> period=<\/span>"1d"<\/span>,<\/span> count=<\/span>250<\/span>,<\/span>
\n adjust=<\/span>"forward"<\/span>,<\/span> to_dataframe=<\/span>True<\/span>)<\/span><\/p>\n

print<\/span>(<\/span>type<\/span>(<\/span>data)<\/span>,<\/span> list<\/span>(<\/span>data.<\/span>keys(<\/span>)<\/span>)<\/span>)<\/span> # dict{symbol: DataFrame}<\/span>
\nprint<\/span>(<\/span>data[<\/span>"600519.SH"<\/span>]<\/span>.<\/span>tail(<\/span>2<\/span>)<\/span>[<\/span>[<\/span>"trade_date"<\/span>,<\/span> "close"<\/span>]<\/span>]<\/span>.<\/span>to_string(<\/span>index=<\/span>False<\/span>)<\/span>)<\/span><\/p>\n

batch \u8fd4\u56de\u4e00\u4e2a\u5b57\u5178，\u952e\u662f\u6807\u51c6\u4ee3\u7801，\u503c\u662f\u8be5\u80a1\u7684 DataFrame，\u904d\u5386\u5373\u53ef：<\/p>\n

for<\/span> sym,<\/span> kdf in<\/span> data.<\/span>items(<\/span>)<\/span>:<\/span>
\n ret =<\/span> kdf[<\/span>"close"<\/span>]<\/span>.<\/span>iloc[<\/span>–<\/span>1<\/span>]<\/span> \/<\/span> kdf[<\/span>"close"<\/span>]<\/span>.<\/span>iloc[<\/span>0<\/span>]<\/span> –<\/span> 1<\/span>
\n print<\/span>(<\/span>f"<\/span>{<\/span>sym}<\/span><\/span>: \u533a\u95f4\u6536\u76ca <\/span>{<\/span>ret:<\/span>+.2%<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

\u7b2c 2 \u6b65：\u8ba1\u65f6\u5bf9\u6bd4\u2014\u2014\u5faa\u73af vs \u6279\u91cf<\/h4>\n

import<\/span> time<\/p>\n

def<\/span> timed<\/span>(<\/span>fn)<\/span>:<\/span>
\n t0 =<\/span> time.<\/span>perf_counter(<\/span>)<\/span>;<\/span> out =<\/span> fn(<\/span>)<\/span>;<\/span> return<\/span> out,<\/span> time.<\/span>perf_counter(<\/span>)<\/span> –<\/span> t0<\/p>\n

# \u6734\u7d20\u5faa\u73af<\/span>
\n_,<\/span> t_loop =<\/span> timed(<\/span>lambda<\/span>:<\/span> {<\/span>c:<\/span> af.<\/span>klines.<\/span>get(<\/span>c,<\/span> period=<\/span>"1d"<\/span>,<\/span> count=<\/span>250<\/span>,<\/span>
\n adjust=<\/span>"forward"<\/span>,<\/span> to_dataframe=<\/span>True<\/span>)<\/span>
\n for<\/span> c in<\/span> codes}<\/span>)<\/span>
\n# \u6279\u91cf<\/span>
\n_,<\/span> t_batch =<\/span> timed(<\/span>lambda<\/span>:<\/span> af.<\/span>klines.<\/span>batch(<\/span>codes,<\/span> period=<\/span>"1d"<\/span>,<\/span> count=<\/span>250<\/span>,<\/span>
\n adjust=<\/span>"forward"<\/span>,<\/span> to_dataframe=<\/span>True<\/span>)<\/span>)<\/span><\/p>\n

print<\/span>(<\/span>f"\u5faa\u73af <\/span>{<\/span>t_loop:<\/span>.2f<\/span>}<\/span><\/span>s | \u6279\u91cf <\/span>{<\/span>t_batch:<\/span>.2f<\/span>}<\/span><\/span>s | \u63d0\u901f <\/span>{<\/span>t_loop \/<\/span> t_batch:<\/span>.1f<\/span>}<\/span><\/span>x"<\/span><\/span>)<\/span><\/p>\n

\u6807\u7684\u8d8a\u591a\u3001\u7f51\u7edc RTT \u8d8a\u9ad8，\u6279\u91cf\u76f8\u5bf9\u5faa\u73af\u7684\u4f18\u52bf\u8d8a\u660e\u663e；batch \u5185\u90e8\u5e76\u53d1\u628a\u4e32\u884c\u7b49\u5f85\u538b\u5e73\u3002<\/p>\n

\u7b2c 3 \u6b65：\u8c03\u5e76\u53d1\u4e0e\u5206\u6279\u53c2\u6570<\/h4>\n

data =<\/span> af.<\/span>klines.<\/span>batch(<\/span>codes,<\/span> period=<\/span>"1d"<\/span>,<\/span> count=<\/span>250<\/span>,<\/span> adjust=<\/span>"forward"<\/span>,<\/span>
\n to_dataframe=<\/span>True<\/span>,<\/span> batch_size=<\/span>50<\/span>,<\/span> max_workers=<\/span>8<\/span>)<\/span><\/p>\n\n\u53c2\u6570\u542b\u4e49\u5efa\u8bae<\/tr>\n\n\n\n\n\n
batch_size<\/td>\n\u6bcf\u6279\u6807\u7684\u6570\u91cf<\/td>\n\u9ed8\u8ba4\u5373\u53ef；\u8fc7\u5927\u5355\u8bf7\u6c42\u66f4\u91cd<\/td>\n<\/tr>\n
max_workers<\/td>\n\u5e76\u53d1\u7ebf\u7a0b\u6570<\/td>\n8~16 \u89c6\u7f51\u7edc\u800c\u5b9a，\u8fc7\u9ad8\u6613\u649e\u9650\u9891<\/td>\n<\/tr>\n
adjust<\/td>\n\u590d\u6743\u65b9\u5f0f<\/td>\n\u7b97\u6536\u76ca\/\u6307\u6807\u7528 forward<\/td>\n<\/tr>\n
to_dataframe<\/td>\n\u8fd4\u56de DataFrame<\/td>\nTrue \u4fbf\u4e8e\u5206\u6790<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7b2c 4 \u6b65：\u5168\u5e02\u573a\u53d6\u6570\u7684\u6b63\u786e\u59ff\u52bf<\/h4>\n

\u8981\u5bf9\u5168 A \u53d6\u6570，\u5148\u7528\u6807\u7684\u6c60\u62ff\u4ee3\u7801，\u518d\u5206\u6279 batch，\u907f\u514d\u4e00\u6b21\u6027\u62c9\u7206：<\/p>\n

q =<\/span> af.<\/span>quotes.<\/span>get(<\/span>universes=<\/span>"CN_Stock"<\/span>,<\/span> to_dataframe=<\/span>True<\/span>)<\/span>
\ncodes =<\/span> q[<\/span>"symbol"<\/span>]<\/span>.<\/span>tolist(<\/span>)<\/span><\/p>\n

all_data =<\/span> {<\/span>}<\/span>
\nCHUNK =<\/span> 200<\/span>
\nfor<\/span> i in<\/span> range<\/span>(<\/span>0<\/span>,<\/span> len<\/span>(<\/span>codes)<\/span>,<\/span> CHUNK)<\/span>:<\/span>
\n part =<\/span> af.<\/span>klines.<\/span>batch(<\/span>codes[<\/span>i:<\/span>i +<\/span> CHUNK]<\/span>,<\/span> period=<\/span>"1d"<\/span>,<\/span> count=<\/span>60<\/span>,<\/span>
\n adjust=<\/span>"forward"<\/span>,<\/span> to_dataframe=<\/span>True<\/span>)<\/span>
\n all_data.<\/span>update(<\/span>part)<\/span>
\n print<\/span>(<\/span>f"\u5df2\u53d6 <\/span>{<\/span>len<\/span>(<\/span>all_data)<\/span>}<\/span><\/span>\/<\/span>{<\/span>len<\/span>(<\/span>codes)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

\u5173\u952e\u5751\u4e0e\u6ce8\u610f\u4e8b\u9879<\/h3>\n
    \n
  • \u522b\u7528\u88f8 for \u5faa\u73af\u53d6\u51e0\u767e\u53ea：\u4e32\u884c\u6162\u4e14\u66f4\u6613\u89e6\u53d1\u9650\u9891，\u80fd\u7528 batch \u5c31\u7528 batch\u3002<\/li>\n
  • \u5e76\u53d1\u4e0d\u662f\u8d8a\u9ad8\u8d8a\u597d：max_workers \u8fc7\u5927\u53cd\u800c\u649e\u9650\u9891（429），\u4ece 8 \u8d77\u6b65\u6309\u7f51\u7edc\u8c03\u3002<\/li>\n
  • \u5168\u5e02\u573a\u5206\u5757：\u51e0\u5343\u53ea\u4e00\u6b21\u6027 batch \u5185\u5b58\u4e0e\u5355\u8bf7\u6c42\u90fd\u8fc7\u91cd，\u6309 200~500 \u5206\u5757\u5e76\u843d\u76d8\u66f4\u7a33\u3002<\/li>\n
  • \u6279\u91cf\u91cc\u4e2a\u522b\u6807\u7684\u53ef\u80fd\u7f3a\u5931：\u505c\u724c\/\u65b0\u80a1\/\u9000\u5e02\u53ef\u80fd\u8fd4\u56de\u7a7a\u6216\u7f3a\u952e，\u904d\u5386\u65f6\u5224\u7a7a\u8df3\u8fc7\u3002<\/li>\n
  • SDK \u5df2\u5185\u7f6e\u91cd\u8bd5：\u5076\u53d1 429\/5xx \u4f1a\u81ea\u52a8\u9000\u907f\u91cd\u8bd5，\u4e1a\u52a1\u5c42\u4e0d\u5fc5\u81ea\u5df1\u5199\u91cd\u8bd5\u5faa\u73af（\u8be6\u89c1\u9650\u9891\/\u5bb9\u9519\u4e00\u6587）\u3002<\/li>\n
  • \u8ba1\u65f6\u7ed3\u679c\u56e0\u7f51\u7edc\u800c\u5f02：\u672c\u6587\u793a\u4f8b\u7684\u63d0\u901f\u500d\u6570\u53d6\u51b3\u4e8e\u6807\u7684\u6570\u4e0e\u7f51\u7edc，\u6807\u7684\u8d8a\u591a\u4f18\u52bf\u8d8a\u5927\u3002<\/li>\n<\/ul>\n

    \u5e38\u89c1\u95ee\u9898（FAQ）<\/h3>\n

    Q：batch \u8fd4\u56de\u7684\u987a\u5e8f\u548c\u6211\u4f20\u5165\u7684\u4e00\u81f4\u5417？
    \nA：\u8fd4\u56de\u662f dict{symbol: DataFrame}，\u6309 symbol \u952e\u8bbf\u95ee\u6700\u7a33；\u9700\u8981\u987a\u5e8f\u5c31\u6309\u4f20\u5165 codes \u904d\u5386\u53d6\u503c\u3002<\/p>\n

    Q：batch \u80fd\u8de8\u5e02\u573a\u6df7\u7740\u53d6\u5417（A \u80a1 + \u6e2f\u80a1 + \u7f8e\u80a1）？
    \nA：\u53ef\u4ee5，\u4f20\u5165\u7684 codes \u91cc\u6df7\u5408 .SH\/.SZ\/.HK\/.US \u5747\u53ef，\u6309\u6807\u51c6\u4ee3\u7801\u53d6\u56de\u3002<\/p>\n

    Q：\u67d0\u53ea\u7968\u53d6\u5931\u8d25\u4f1a\u5f71\u54cd\u6574\u6279\u5417？
    \nA：\u4e0d\u4f1a\u6574\u6279\u5931\u8d25；\u7f3a\u5931\u7684\u6807\u7684\u4e0d\u4f1a\u51fa\u73b0\u5728\u7ed3\u679c\u5b57\u5178\u91cc\u6216\u8fd4\u56de\u7a7a，\u904d\u5386\u65f6\u5224\u7a7a\u5373\u53ef\u3002<\/p>\n

    Q：\u9700\u8981\u4ed8\u8d39\u5417？
    \nA：\u5c0f\u6279\u91cf\u6709\u514d\u8d39\u989d\u5ea6；\u5168\u5e02\u573a\u6807\u7684\u6c60（universes）\u4e0e\u5927\u89c4\u6a21\u6279\u91cf\u53d6\u6570\u9700 Starter \u53ca\u4ee5\u4e0a\u3002\u8be6\u89c1\u5b9a\u4ef7\u9875\u3002<\/p>\n

    \u5c0f\u7ed3<\/h3>\n

    \u591a\u6807\u7684\u53d6\u6570\u7684\u6027\u80fd\u5173\u952e，\u662f\u628a\u300c\u6279\u91cf\u4e0e\u5e76\u53d1\u300d\u4ea4\u7ed9 SDK \u800c\u4e0d\u662f\u81ea\u5df1\u5199\u4e32\u884c\u5faa\u73af\u3002\u7528 AlphaFeed \u7684 klines.batch \u4e00\u6b21\u53d6\u56de dict{symbol: DataFrame}，\u5185\u7f6e\u5e76\u53d1\u4e0e\u5206\u6279\u8ba9\u5b83\u6bd4\u6734\u7d20\u5faa\u73af\u5feb\u6570\u500d，\u518d\u914d\u5408\u6807\u7684\u6c60\u5206\u5757，\u5c31\u80fd\u7a33\u3001\u5feb\u5730\u5b8c\u6210\u4ece\u51e0\u53ea\u5230\u5168\u5e02\u573a\u7684\u53d6\u6570\u3002<\/p>\n

    \u53c2\u8003<\/h3>\n
      \n
    • AlphaFeed Python SDK \u6587\u6863：https:\/\/docs.alphafeed.org\/zh-Hans\/sdk\/python-quickstart<\/li>\n
    • AlphaFeed \u5b98\u7f51：https:\/\/alphafeed.org\/<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

      \u4e00\u53e5\u8bdd\u56de\u7b54： \u7ed9\u51e0\u5341\u4e0a\u767e\u53ea\u80a1\u7968\u53d6 K \u7ebf，\u7528 for \u5faa\u73af\u4e00\u53ea\u53ea\u8c03\u63a5\u53e3\u4e0d\u4ec5\u6162，\u8fd8\u5bb9\u6613\u89e6\u53d1\u9650\u9891\u3002AlphaFeed \u7684 klines.batch(codes, …) \u4e00\u6b21\u5c31\u80fd\u6279\u91cf\u53d6\u56de（\u5185\u7f6e\u5e76\u53d1\u4e0e\u81ea\u52a8\u5206\u6279），\u5b9e\u6d4b\u6bd4\u6734\u7d20\u5faa\u73af\u5feb\u6570\u500d，\u8fd4\u56de dict{symbol: DataFrame} \u76f4\u63a5\u53ef\u7528\u2014\u2014\u8fd9\u662f\u591a\u6807\u7684\u53d6\u6570\u7684\u6b63\u786e\u59ff\u52bf\u3002
      \n\u4e3a\u4ec0\u4e48\u4f1a\u6709\u8fd9\u4e2a\u95ee\u9898 \/ \u4f20\u7edf\u505a\u6cd5\u7684\u75db\u70b9
      \n\u65b0\u624b\u53d6\u591a\u53ea\u80a1\u7968\u7684\u5199<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[7698,230,190],"topic":[],"class_list":["post-113764","post","type-post","status-publish","format-standard","hentry","category-server","tag-batch","tag-php","tag-190"],"yoast_head":"\n\u6279\u91cf\u53d6\u6570\u6bd4\u5faa\u73af\u5355\u53d6\u5feb\u591a\u5c11\uff1f\u7528 AlphaFeed klines.batch\u7ed9\u591a\u80a1\u7968\u53d6\u6570\u63d0\u901f - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/113764.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u6279\u91cf\u53d6\u6570\u6bd4\u5faa\u73af\u5355\u53d6\u5feb\u591a\u5c11\uff1f\u7528 AlphaFeed klines.batch\u7ed9\u591a\u80a1\u7968\u53d6\u6570\u63d0\u901f - 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