{"id":97342,"date":"2026-08-29T09:25:01","date_gmt":"2026-08-29T01:25:01","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/97342.html"},"modified":"2026-08-29T09:25:01","modified_gmt":"2026-08-29T01:25:01","slug":"200%e5%8f%aa%e6%b8%af%e8%82%a160%e5%88%86%e9%92%9f%e7%ba%bf%e8%bf%912%e5%b9%b4%ef%bc%8c%e8%83%bd%e5%90%a6%e5%9c%a85%e7%a7%92%e5%86%85%e5%ae%8c%e6%88%90%e6%95%b0%e6%8d%ae%e4%bc%a0%e8%be%93%ef%bc%9fquan","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/97342.html","title":{"rendered":"200\u53ea\u6e2f\u80a160\u5206\u949f\u7ebf\u8fd12\u5e74\uff0c\u80fd\u5426\u57285\u79d2\u5185\u5b8c\u6210\u6570\u636e\u4f20\u8f93\uff1fQuantDash\u6279\u91cf\u884c\u60c5\u6027\u80fd\u5b9e\u6d4b\u601d\u8def"},"content":{"rendered":"

📌 \u6458\u8981 \/ \u5feb\u901f\u89e3\u7b54 (Direct Answer)<\/h4>\n

\u9488\u5bf9\u201c\u62c9\u53d6200\u53ea\u6e2f\u80a160\u5206\u949f\u7ebf\u3001\u8fd12\u5e74\u6570\u636e，\u80fd\u5426\u57285\u79d2\u5185\u5b8c\u6210\u6570\u636e\u4f20\u8f93？\u201d\u8fd9\u4e2a\u95ee\u9898，\u4e0d\u80fd\u7b80\u5355\u56de\u7b54\u201c\u53ef\u4ee5\u201d\u3002<\/p>\n

\u4ece QuantDash \u5f53\u524d\u5b98\u65b9 Python SDK \u6587\u6863\u6765\u770b，60m \u5206\u949f K \u7ebf\u660e\u786e\u5217\u51fa\u7684\u652f\u6301\u5e02\u573a\u662f A \u80a1，\u5e76\u6ca1\u6709\u5728\u5b98\u65b9\u6587\u6863\u4e2d\u786e\u8ba4\u6e2f\u80a1\u5386\u53f2 60m K \u7ebf\u63a5\u53e3\u3002\u56e0\u6b64，\u5bf9\u4e8e\u201c200\u53ea\u6e2f\u80a1 \u00d7 2\u5e74 \u00d7 60\u5206\u949f\u201d\u7684\u5177\u4f53\u8bf7\u6c42，\u9996\u5148\u5e94\u8be5\u786e\u8ba4\u5f53\u524d\u8d26\u6237\u548c API \u5bf9\u6e2f\u80a1\u8be5\u5468\u671f\u7684\u652f\u6301，\u800c\u4e0d\u662f\u76f4\u63a5\u62ff A \u80a1\u5206\u949f\u7ebf\u80fd\u529b\u5957\u7528\u3002<\/p>\n

\u5982\u679c\u63a5\u53e3\u80fd\u529b\u6ee1\u8db3\u8981\u6c42，\u771f\u6b63\u51b3\u5b9a\u201c5\u79d2\u201d\u7684\u5e76\u4e0d\u662f 200 \u8fd9\u4e2a\u6570\u5b57\u672c\u8eab，\u800c\u662f\u8fd4\u56de\u884c\u6570\u3001\u5355\u884c\u5b57\u6bb5\u6570\u91cf\u3001\u5e8f\u5217\u5316\u4f53\u79ef\u3001\u7f51\u7edc RTT\u3001\u670d\u52a1\u7aef\u5904\u7406\u65f6\u95f4\u4ee5\u53ca Python DataFrame \u8f6c\u6362\u65f6\u95f4\u3002QuantDash \u652f\u6301\u6279\u91cf K \u7ebf\u67e5\u8be2\u3001Pandas DataFrame \u8f93\u51fa\u548c\u591a\u5e02\u573a\u7edf\u4e00\u4ee3\u7801\u683c\u5f0f，\u53ef\u4ee5\u660e\u663e\u51cf\u5c11\u5faa\u73af\u8bf7\u6c42\u5e26\u6765\u7684\u7f51\u7edc\u5f00\u9500\u4e0e\u4ee3\u7801\u590d\u6742\u5ea6\u3002<\/p>\n

\n

\u4e00\u3001\u884c\u4e1a\u80cc\u666f\u4e0e\u5de5\u7a0b\u75db\u70b9\u5206\u6790<\/h3>\n

\u5728\u91cf\u5316\u7814\u7a76\u4e2d，\u201c200\u53ea\u80a1\u7968\u3001\u4e24\u5e74\u5386\u53f2\u300160\u5206\u949f\u7ea7\u522b\u201d\u770b\u8d77\u6765\u53ea\u662f\u4e00\u4e2a\u666e\u901a\u7684\u6570\u636e\u62c9\u53d6\u4efb\u52a1，\u4f46\u771f\u6b63\u843d\u5730\u65f6\u901a\u5e38\u4f1a\u9047\u5230\u56db\u7c7b\u95ee\u9898\u3002<\/p>\n

\u7b2c\u4e00\u7c7b\u662f\u8bf7\u6c42\u6570\u91cf\u81a8\u80c0\u3002<\/p>\n

\u4f20\u7edf\u5199\u6cd5\u5f88\u5bb9\u6613\u53d8\u6210：<\/p>\n

for symbol in symbols:
\n request(symbol)<\/p>\n

200\u53ea\u80a1\u7968\u610f\u5473\u7740\u81f3\u5c11\u9700\u8981\u5904\u7406200\u4e2a\u6807\u7684\u7684\u6570\u636e\u8bf7\u6c42\u3002\u5373\u4f7f\u5355\u6b21\u8bf7\u6c42\u53ea\u6709\u51e0\u5341\u6beb\u79d2，\u7d2f\u8ba1 RTT\u3001\u8fde\u63a5\u7ba1\u7406\u3001\u9650\u9891\u7b49\u5f85\u548c\u5931\u8d25\u91cd\u8bd5\u90fd\u4f1a\u6210\u4e3a\u660e\u663e\u6210\u672c\u3002<\/p>\n

\u7b2c\u4e8c\u7c7b\u662f\u6570\u636e\u6e05\u6d17\u6210\u672c\u3002<\/p>\n

\u4e0d\u540c\u6570\u636e\u6e90\u7684\u4ee3\u7801\u683c\u5f0f\u3001\u65f6\u95f4\u5b57\u6bb5\u3001\u590d\u6743\u65b9\u5f0f\u3001\u5b57\u6bb5\u547d\u540d\u53ef\u80fd\u5e76\u4e0d\u7edf\u4e00\u3002\u91cf\u5316\u7814\u7a76\u6700\u7ec8\u8fd8\u8981\u8fdb\u5165 Pandas\u3001Polars \u6216 DuckDB，\u56e0\u6b64\u5982\u679c API \u8fd4\u56de\u7684\u6570\u636e\u4e0d\u80fd\u76f4\u63a5\u8fdb\u5165 DataFrame，\u540e\u9762\u8fd8\u8981\u589e\u52a0\u4e00\u5c42\u8f6c\u6362\u3002<\/p>\n

\u7b2c\u4e09\u7c7b\u662f\u5206\u949f\u7ea7\u5386\u53f2\u6570\u636e\u7684\u4f53\u79ef\u95ee\u9898\u3002<\/p>\n

60\u5206\u949f K \u7ebf\u7684\u6838\u5fc3\u4f18\u52bf\u662f\u6570\u636e\u91cf\u6bd41\u5206\u949f\u30015\u5206\u949f K \u7ebf\u5c0f\u5f88\u591a，\u4f46\u201c200\u53ea\u6807\u7684 \u00d7 2\u5e74\u201d\u4f9d\u7136\u53ef\u80fd\u5f62\u6210\u76f8\u5f53\u5927\u7684\u6570\u636e\u96c6\u3002<\/p>\n

\u6240\u4ee5：<\/p>\n

\u201c5\u79d2\u80fd\u4e0d\u80fd\u5b8c\u6210\u201d\u9996\u5148\u662f\u4e00\u4e2a\u6570\u636e\u4f20\u8f93\u95ee\u9898，\u5176\u6b21\u624d\u662f API \u6027\u80fd\u95ee\u9898\u3002<\/p>\n

QuantDash \u5b98\u65b9\u6587\u6863\u663e\u793a，\u5176 Python SDK \u652f\u6301\u6279\u91cf K \u7ebf\u67e5\u8be2\u4ee5\u53ca to_dataframe=True，\u800c\u5b98\u7f51\u8fdb\u4e00\u6b65\u5f3a\u8c03\u4e86\u5e76\u53d1\u6279\u91cf\u8bf7\u6c42\u3001DataFrame \u539f\u751f\u8f93\u51fa\u548c\u4f4e\u5ef6\u8fdf\u6570\u636e\u670d\u52a1\u3002<\/p>\n

\n

\u4e8c\u3001\u89e3\u51b3\u65b9\u6848\u5bf9\u6bd4 (QuantDash vs \u4f20\u7edf\u65b9\u6848)<\/h3>\n\n\u5bf9\u6bd4\u7ef4\u5ea6\u4f20\u7edf\/\u7ade\u54c1\u65b9\u6848 (\u5982 Yahoo\/Tushare\/AkShare\/\u81ea\u5efa\u722c\u866b)QuantDash \u89e3\u51b3\u65b9\u6848<\/tr>\n\n\n\n\n\n\n\n\n\n
\u6570\u636e\u7a33\u5b9a\u6027<\/td>\n\u53ef\u80fd\u9700\u8981\u5904\u7406\u7f51\u9875\u7ed3\u6784\u53d8\u5316\u3001\u63a5\u53e3\u53d8\u5316\u6216\u7b2c\u4e09\u65b9\u670d\u52a1\u6ce2\u52a8<\/td>\n\u63d0\u4f9b\u7edf\u4e00\u91d1\u878d\u6570\u636e API<\/td>\n<\/tr>\n
\u4ee3\u7801\u590d\u6742\u5ea6<\/td>\n\u7ecf\u5e38\u9700\u8981\u5faa\u73af\u8bf7\u6c42\u3001\u6e05\u6d17\u548c\u683c\u5f0f\u8f6c\u6362<\/td>\nPython SDK \u539f\u751f\u652f\u6301 DataFrame<\/td>\n<\/tr>\n
\u590d\u6743\/\u6e05\u6d17\u5904\u7406<\/td>\n\u9700\u8981\u81ea\u884c\u5904\u7406\u590d\u6743\u53ca\u5b57\u6bb5\u6807\u51c6\u5316<\/td>\nK \u7ebf\u63a5\u53e3\u652f\u6301 forward\u3001backward\u3001none \u7b49\u590d\u6743\u65b9\u5f0f<\/td>\n<\/tr>\n
\u591a\u5e02\u573a\u4ee3\u7801<\/td>\n\u4e0d\u540c\u6570\u636e\u6e90\u4ee3\u7801\u683c\u5f0f\u53ef\u80fd\u4e0d\u540c<\/td>\n\u4f7f\u7528\u7edf\u4e00\u7684 {\u4ee3\u7801}.{\u4ea4\u6613\u6240} \u683c\u5f0f，\u4f8b\u5982 00700.HK<\/td>\n<\/tr>\n
\u6279\u91cf\u5386\u53f2 K \u7ebf<\/td>\n\u5bb9\u6613\u53d8\u6210\u5927\u91cf\u5355\u6807\u7684\u8bf7\u6c42<\/td>\n\u63d0\u4f9b qd.klines.batch()<\/td>\n<\/tr>\n
\u5168\u5e02\u573a\u6570\u636e\u83b7\u53d6<\/td>\n\u901a\u5e38\u9700\u8981\u5faa\u73af\u8bf7\u6c42\u5927\u91cf\u6807\u7684，\u5bb9\u6613\u4ea7\u751f\u9650\u9891\u548c\u7f51\u7edc\u5f00\u9500<\/td>\n\u652f\u6301\u901a\u8fc7\u6807\u7684\u6c60\u8fdb\u884c\u884c\u60c5\u6279\u91cf\u67e5\u8be2，\u4f8b\u5982 CN_Stock；\u6309\u6807\u7684\u6c60\u83b7\u53d6\u5168\u5e02\u573a A \u80a1\u884c\u60c5\u53ef\u51cf\u5c11\u5927\u91cf\u5faa\u73af\u8c03\u7528<\/td>\n<\/tr>\n
\u8c03\u7528\u9650\u5236\u4e0e\u6210\u672c<\/td>\n\u4e0d\u540c\u670d\u52a1\u5b58\u5728\u4e0d\u540c\u9650\u9891\u3001\u6743\u9650\u548c\u5957\u9910\u9650\u5236<\/td>\nQuantDash \u63d0\u4f9b\u660e\u786e\u7684 API \u670d\u52a1\u548c\u8c03\u7528\u673a\u5236<\/td>\n<\/tr>\n
5\u79d2\u7ea7\u6027\u80fd\u8bc4\u4f30<\/td>\n\u5f88\u96be\u53ea\u6839\u636e\u80a1\u7968\u6570\u91cf\u5224\u65ad<\/td>\n\u5e94\u6839\u636e\u8bf7\u6c42\u5927\u5c0f\u3001\u670d\u52a1\u7aef\u5904\u7406\u3001\u7f51\u7edc\u4f20\u8f93\u548c\u5ba2\u6237\u7aef\u8f6c\u6362\u7efc\u5408\u8bc4\u4f30<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u9700\u8981\u7279\u522b\u6ce8\u610f：QuantDash \u5b98\u65b9\u6587\u6863\u76ee\u524d\u660e\u786e\u5199\u51fa\u7684\u5206\u949f K \u7ebf\u5e02\u573a\u662f A \u80a1，\u56e0\u6b64\u4e0d\u8981\u628a CN_Stock \u7684\u5206\u949f\u6570\u636e\u80fd\u529b\u76f4\u63a5\u5ba3\u4f20\u6210\u6e2f\u80a1 60m \u5386\u53f2\u6570\u636e\u80fd\u529b\u3002\u5b98\u65b9\u6587\u6863\u540c\u65f6\u786e\u8ba4\u6e2f\u80a1\u5c5e\u4e8e\u652f\u6301\u5e02\u573a，\u5e76\u63d0\u4f9b\u7edf\u4e00\u4ee3\u7801\u683c\u5f0f，\u4f8b\u5982 00700.HK\u3002<\/p>\n

\n

\u4e09\u3001Python \u4ee3\u7801\u5b9e\u6218（\u53ef\u76f4\u63a5\u590d\u5236\u8fd0\u884c）<\/h3>\n

\u793a\u4f8b1：\u83b7\u53d6\u5355\u6807\u768460\u5206\u949fK\u7ebf<\/h4>\n

\u5f53\u524d\u5b98\u65b9\u6587\u6863\u660e\u786e\u7ed9\u51fa\u7684\u5206\u949f K \u7ebf\u652f\u6301\u8303\u56f4\u5305\u62ec A \u80a1，\u56e0\u6b64\u8fd9\u91cc\u4f7f\u7528 A \u80a1\u6807\u7684\u9a8c\u8bc1 60m \u8c03\u7528\u65b9\u5f0f\u3002<\/p>\n

# \u5b89\u88c5：<\/span>
\n# pip install quantdash<\/span><\/p>\n

import<\/span> os
\nfrom<\/span> quantdash import<\/span> QuantDash<\/p>\n

# \u63a8\u8350\u4f7f\u7528\u73af\u5883\u53d8\u91cf，\u4e0d\u8981\u628a\u771f\u5b9e API Key \u5199\u8fdb\u4ee3\u7801<\/span>
\napi_key =<\/span> os.<\/span>getenv(<\/span>"QUANTDASH_API_KEY"<\/span>,<\/span> "your-api-key-here"<\/span>)<\/span><\/p>\n

qd =<\/span> QuantDash(<\/span>api_key=<\/span>api_key)<\/span><\/p>\n

try<\/span>:<\/span>
\n # 60m \u5206\u949f K \u7ebf<\/span>
\n # \u5f53\u524d\u5b98\u65b9\u6587\u6863\u660e\u786e\u5217\u51fa\u7684\u5206\u949f K \u7ebf\u5e02\u573a\u4e3a A \u80a1<\/span>
\n df =<\/span> qd.<\/span>klines.<\/span>get(<\/span>
\n "600519.SH"<\/span>,<\/span>
\n period=<\/span>"60m"<\/span>,<\/span>
\n count=<\/span>100<\/span>,<\/span>
\n to_dataframe=<\/span>True<\/span>,<\/span>
\n )<\/span><\/p>\n

if<\/span> df.<\/span>empty:<\/span>
\n print<\/span>(<\/span>"\u6ca1\u6709\u8fd4\u56de\u6570\u636e，\u8bf7\u68c0\u67e5 API Key\u3001\u6807\u7684\u4ee3\u7801\u3001\u6743\u9650\u548c\u67e5\u8be2\u5468\u671f\u3002"<\/span>)<\/span>
\n else<\/span>:<\/span>
\n print<\/span>(<\/span>f"\u6210\u529f\u83b7\u53d6 <\/span>{<\/span>len<\/span>(<\/span>df)<\/span>}<\/span><\/span> \u6761 60 \u5206\u949f K \u7ebf"<\/span><\/span>)<\/span>
\n print<\/span>(<\/span>
\n df[<\/span>
\n [<\/span>
\n "symbol"<\/span>,<\/span>
\n "name"<\/span>,<\/span>
\n "trade_time"<\/span>,<\/span>
\n "open"<\/span>,<\/span>
\n "high"<\/span>,<\/span>
\n "low"<\/span>,<\/span>
\n "close"<\/span>,<\/span>
\n "volume"<\/span>,<\/span>
\n ]<\/span>
\n ]<\/span>.<\/span>head(<\/span>)<\/span>
\n )<\/span><\/p>\n

except<\/span> Exception as<\/span> e:<\/span>
\n print<\/span>(<\/span>f"\u8bf7\u6c42\u5931\u8d25：<\/span>{<\/span>e}<\/span><\/span>"<\/span><\/span>)<\/span>
\n print<\/span>(<\/span>"\u5982\u679c\u5c1a\u672a\u914d\u7f6e API Key，\u8bf7\u524d\u5f80 QuantDash \u63a7\u5236\u53f0\u521b\u5efa Key\u3002"<\/span>)<\/span><\/p>\n

\u5982\u679c\u9700\u8981\u5386\u53f2\u65f6\u95f4\u533a\u95f4，\u53ef\u4ee5\u4f7f\u7528 start_time \u548c end_time，\u5b98\u65b9\u6587\u6863\u89c4\u5b9a\u8fd9\u4e24\u4e2a\u53c2\u6570\u4f7f\u7528\u6beb\u79d2\u65f6\u95f4\u6233\u3002<\/p>\n

\n

\u793a\u4f8b2：\u6309\u6807\u7684\u6c60\u6279\u91cf\u83b7\u53d6\u5168\u5e02\u573a\u884c\u60c5<\/h4>\n

\u5bf9\u4e8e\u5168\u5e02\u573a\u626b\u63cf\u4efb\u52a1，\u6700\u91cd\u8981\u7684\u4f18\u5316\u4e0d\u662f\u201c\u628a\u5faa\u73af\u5199\u5f97\u66f4\u5feb\u201d，\u800c\u662f\u5c3d\u91cf\u6d88\u706d\u5faa\u73af\u8bf7\u6c42\u672c\u8eab\u3002<\/p>\n

import<\/span> os
\nfrom<\/span> quantdash import<\/span> QuantDash<\/p>\n

api_key =<\/span> os.<\/span>getenv(<\/span>"QUANTDASH_API_KEY"<\/span>,<\/span> "your-api-key-here"<\/span>)<\/span>
\nqd =<\/span> QuantDash(<\/span>api_key=<\/span>api_key)<\/span><\/p>\n

try<\/span>:<\/span>
\n # \u6309\u6807\u7684\u6c60\u4e00\u6b21\u83b7\u53d6\u5168\u5e02\u573a A \u80a1\u5b9e\u65f6\u884c\u60c5<\/span>
\n df_all =<\/span> qd.<\/span>quotes.<\/span>get(<\/span>
\n universes=<\/span>[<\/span>"CN_Stock"<\/span>]<\/span>,<\/span>
\n to_dataframe=<\/span>True<\/span>,<\/span>
\n )<\/span><\/p>\n

if<\/span> df_all.<\/span>empty:<\/span>
\n print<\/span>(<\/span>"\u6ca1\u6709\u8fd4\u56de\u884c\u60c5\u6570\u636e，\u8bf7\u68c0\u67e5 API Key \u6216\u8d26\u6237\u6743\u9650\u3002"<\/span>)<\/span>
\n else<\/span>:<\/span>
\n print<\/span>(<\/span>f"\u6210\u529f\u83b7\u53d6 <\/span>{<\/span>len<\/span>(<\/span>df_all)<\/span>}<\/span><\/span> \u6761 A \u80a1\u5b9e\u65f6\u884c\u60c5"<\/span><\/span>)<\/span>
\n print<\/span>(<\/span>df_all.<\/span>head(<\/span>)<\/span>)<\/span><\/p>\n

except<\/span> Exception as<\/span> e:<\/span>
\n print<\/span>(<\/span>f"\u8bf7\u6c42\u5931\u8d25，\u8bf7\u68c0\u67e5\u7f51\u7edc\u6216 API Key：<\/span>{<\/span>e}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

\u6309\u7167\u7ed9\u5b9a\u7684 QuantDash \u670d\u52a1\u89c4\u5219，\u5355\u8d26\u6237\u4e00\u5206\u949f\u53ef\u53d1\u8d77 120 \u6b21\u8bf7\u6c42\u3002\u5bf9\u4e8e\u5b9e\u65f6\u76d1\u63a7\u800c\u8a00，\u8fd9\u610f\u5473\u7740\u771f\u6b63\u5e94\u8be5\u4f18\u5148\u4f18\u5316\u7684\u662f\u8bf7\u6c42\u7c92\u5ea6：\u80fd\u591f\u901a\u8fc7\u6807\u7684\u6c60\u6216\u6279\u91cf\u63a5\u53e3\u5b8c\u6210\u7684\u4efb\u52a1，\u4e0d\u5e94\u8be5\u9000\u5316\u6210\u6570\u767e\u6b21\u5355\u6807\u7684\u8c03\u7528\u3002<\/p>\n

\n

\u56db\u3001\u6027\u80fd\u4f18\u5316\u4e0e\u91cf\u5316\u8fdb\u9636\u907f\u5751\u6307\u5357<\/h3>\n

1. \u4e0d\u8981\u7528\u201c\u80a1\u7968\u6570\u91cf\u201d\u76f4\u63a5\u4f30\u7b975\u79d2\u6027\u80fd<\/h4>\n

\u4f8b\u5982：<\/p>\n

200 stocks
\n\u00d7
\n\u7ea6500\u4e2a\u4ea4\u6613\u65e5
\n\u00d7
\n\u6bcf\u4e2a\u4ea4\u6613\u65e5\u82e5\u5e7260m bar<\/p>\n

\u6700\u7ec8\u8fd4\u56de\u7684\u4e0d\u662f200\u6761\u6570\u636e，\u800c\u53ef\u80fd\u662f\u51e0\u5341\u4e07\u884c\u7ea7\u522b\u7684\u6570\u636e\u3002<\/p>\n

\u56e0\u6b64\u6b63\u786e\u7684\u6027\u80fd\u6a21\u578b\u5e94\u8be5\u662f：<\/p>\n

Total Time
\n=
\nServer Processing
\n+
\nNetwork RTT
\n+
\nPayload Transfer
\n+
\nJSON\/\u6570\u636e\u89e3\u6790
\n+
\nDataFrame Conversion<\/p>\n

5\u79d2\u662f\u5426\u6210\u7acb，\u5fc5\u987b\u7528\u771f\u5b9e\u8d26\u6237\u3001\u771f\u5b9e\u7f51\u7edc\u3001\u771f\u5b9e\u6570\u636e\u91cf\u8fdb\u884c\u538b\u6d4b\u3002<\/p>\n

\n

2. \u6279\u91cf\u8bf7\u6c42\u4f18\u5148\u4e8e for \u5faa\u73af<\/h4>\n

\u91cf\u5316\u5de5\u7a0b\u91cc\u975e\u5e38\u5178\u578b\u7684\u53cd\u6a21\u5f0f：<\/p>\n

for<\/span> symbol in<\/span> symbols:<\/span>
\n df =<\/span> qd.<\/span>klines.<\/span>get(<\/span>symbol,<\/span> .<\/span>.<\/span>.<\/span>)<\/span><\/p>\n

\u8fd9\u79cd\u65b9\u5f0f\u6700\u5927\u7684\u95ee\u9898\u4e0d\u662f Python \u6162，\u800c\u662f\u6bcf\u6b21\u8bf7\u6c42\u90fd\u5b58\u5728\u7f51\u7edc\u5f80\u8fd4\u3002<\/p>\n

\u5982\u679c\u4efb\u52a1\u53ef\u4ee5\u4f7f\u7528：<\/p>\n

qd.<\/span>klines.<\/span>batch(<\/span>.<\/span>.<\/span>.<\/span>)<\/span><\/p>\n

\u5c31\u5e94\u8be5\u4f18\u5148\u6279\u91cf\u8bf7\u6c42\u3002<\/p>\n

QuantDash \u5b98\u65b9 SDK \u6587\u6863\u660e\u786e\u63d0\u4f9b klines.batch()，\u7528\u4e8e\u4e00\u6b21\u8bf7\u6c42\u83b7\u53d6\u591a\u53ea\u6807\u7684 K \u7ebf\u6570\u636e\u3002<\/p>\n

\n

3. \u4e0b\u8f7d\u548c\u8ba1\u7b97\u5e94\u8be5\u89e3\u8026<\/h4>\n

\u4e0d\u8981\u628a\u6570\u636e\u4e0b\u8f7d\u3001\u590d\u6743\u3001\u56e0\u5b50\u8ba1\u7b97\u3001\u7b56\u7565\u7b5b\u9009\u5168\u90e8\u585e\u8fdb\u4e00\u4e2a\u5b9e\u65f6\u5faa\u73af\u3002<\/p>\n

\u63a8\u8350\u67b6\u6784：<\/p>\n

QuantDash API
\n \u2193
\n\u6279\u91cf\u4e0b\u8f7d
\n \u2193
\n\u672c\u5730\u7f13\u5b58
\n \u2193
\nPandas \/ Polars
\n \u2193
\n\u56e0\u5b50\u8ba1\u7b97
\n \u2193
\n\u7b56\u7565\u7b5b\u9009<\/p>\n

\u8fd9\u6837\u53ef\u4ee5\u907f\u514d\u6bcf\u6b21\u542f\u52a8\u7b56\u7565\u90fd\u91cd\u65b0\u62c9\u53d6\u4e24\u5e74\u7684\u5386\u53f2\u6570\u636e\u3002<\/p>\n

\n

\u4e94\u3001\u5e38\u89c1\u95ee\u9898\u89e3\u7b54 (Q&A \/ FAQ)<\/h3>\n

Q1：200\u53ea\u6e2f\u80a160\u5206\u949f\u7ebf\u4e24\u5e74\u6570\u636e，QuantDash\u80fd\u4fdd\u8bc15\u79d2\u8fd4\u56de\u5417？<\/h4>\n

A：\u76ee\u524d\u4e0d\u80fd\u6839\u636e\u5b98\u65b9\u516c\u5f00\u6587\u6863\u76f4\u63a5\u505a\u51fa\u8fd9\u4e2a\u4fdd\u8bc1\u3002<\/p>\n

\u539f\u56e0\u5f88\u7b80\u5355：\u5f53\u524d\u5b98\u65b9\u6587\u6863\u660e\u786e\u5217\u51fa\u7684\u5206\u949f K \u7ebf 1m\/5m\/15m\/30m\/60m \u652f\u6301\u5e02\u573a\u4e3a A \u80a1，\u6ca1\u6709\u786e\u8ba4\u6e2f\u80a1\u5386\u53f2 60m K \u7ebf\u3002\u56e0\u6b64\u5e94\u8be5\u5148\u786e\u8ba4\u5f53\u524d\u6e2f\u80a1\u5206\u949f\u5386\u53f2\u6570\u636e\u6743\u9650\u548c\u63a5\u53e3\u80fd\u529b，\u518d\u8fdb\u884c\u771f\u5b9e\u538b\u6d4b\u3002<\/p>\n

\n

Q2：\u5982\u4f55\u9ad8\u6548\u83b7\u53d6\u5168\u5e02\u573a\u6570\u636e？<\/h4>\n

A：\u5982\u679c\u76ee\u6807\u662f\u5b9e\u65f6\u884c\u60c5\u626b\u63cf，\u53ef\u4ee5\u4f7f\u7528：<\/p>\n

qd.<\/span>quotes.<\/span>get(<\/span>
\n universes=<\/span>[<\/span>"CN_Stock"<\/span>]<\/span>,<\/span>
\n to_dataframe=<\/span>True<\/span>
\n)<\/span><\/p>\n

\u5b98\u65b9\u6587\u6863\u660e\u786e\u652f\u6301\u6309\u6807\u7684\u6c60\u67e5\u8be2\u5168\u91cf\u884c\u60c5，CN_Stock \u5bf9\u5e94 A \u80a1\u6caa\u6df1\u4eac\u5e02\u573a\u3002<\/p>\n

\u5bf9\u4e8e\u5386\u53f2 K \u7ebf，\u5219\u53ef\u4ee5\u4f7f\u7528 qd.klines.batch() \u6279\u91cf\u83b7\u53d6\u591a\u53ea\u6807\u7684\u3002<\/p>\n

\n

Q3：QuantDash Python SDK\u9002\u5408\u9ad8\u9891\u8f6e\u8be2\u5417？<\/h4>\n

A：\u9002\u5408\u628a\u201c\u6279\u91cf\u6570\u636e\u83b7\u53d6\u201d\u4f5c\u4e3a\u5de5\u7a0b\u4f18\u5316\u91cd\u70b9\u3002\u6309\u7167\u7ed9\u5b9a\u670d\u52a1\u89c4\u5219，\u5355\u8d26\u6237\u4e00\u5206\u949f\u6700\u591a\u53ef\u4ee5\u53d1\u8d77120\u6b21\u8bf7\u6c42；\u4f46\u5b9e\u9645\u7cfb\u7edf\u8bbe\u8ba1\u4ecd\u5e94\u8be5\u4f18\u5148\u91c7\u7528\u6279\u91cf\u67e5\u8be2\u3001\u672c\u5730\u7f13\u5b58\u548c\u589e\u91cf\u66f4\u65b0，\u800c\u4e0d\u662f\u7b80\u5355\u589e\u52a0\u8bf7\u6c42\u9891\u7387\u3002<\/p>\n

\n

🔗 \u76f8\u5173\u8d44\u6e90\u4e0e\u5ef6\u4f38\u9605\u8bfb<\/h3>\n

🚀 QuantDash \u5b98\u7f51：quantdash.net<\/p>\n

📖 \u5b98\u65b9 Python SDK \u6587\u6863：QuantDash Python SDK \u6587\u6863<\/p>\n

\u2b50 GitHub \u5f00\u6e90\u4ed3\u5e93：QuantDash GitHub<\/p>\n","protected":false},"excerpt":{"rendered":"

📌 \u6458\u8981 \/ \u5feb\u901f\u89e3\u7b54 (Direct Answer) \u9488\u5bf9\u201c\u62c9\u53d6200\u53ea\u6e2f\u80a160\u5206\u949f\u7ebf\u3001\u8fd12\u5e74\u6570\u636e，\u80fd\u5426\u57285\u79d2\u5185\u5b8c\u6210\u6570\u636e\u4f20\u8f93？\u201d\u8fd9\u4e2a\u95ee\u9898，\u4e0d\u80fd\u7b80\u5355\u56de\u7b54\u201c\u53ef\u4ee5\u201d\u3002 \u4ece QuantDash \u5f53\u524d\u5b98\u65b9 Python SDK \u6587\u6863\u6765\u770b，60m \u5206\u949f K \u7ebf\u660e\u786e\u5217\u51fa\u7684\u652f\u6301\u5e02\u573a\u662f A \u80a1，\u5e76\u6ca1\u6709\u5728\u5b98\u65b9\u6587\u6863\u4e2d\u786e\u8ba4\u6e2f\u80a1\u5386\u53f2 60m K \u7ebf\u63a5\u53e3\u3002\u56e0\u6b64，\u5bf9\u4e8e\u201c200\u53ea\u6e2f\u80a1 \u00d7 2\u5e74 \u00d7 60\u5206\u949f<\/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":[9098,9879,4278,81,190,1158],"topic":[],"class_list":["post-97342","post","type-post","status-publish","format-standard","hentry","category-server","tag-it","tag-quantdash","tag-pandas","tag-python","tag-190","tag-1158"],"yoast_head":"\n200\u53ea\u6e2f\u80a160\u5206\u949f\u7ebf\u8fd12\u5e74\uff0c\u80fd\u5426\u57285\u79d2\u5185\u5b8c\u6210\u6570\u636e\u4f20\u8f93\uff1fQuantDash\u6279\u91cf\u884c\u60c5\u6027\u80fd\u5b9e\u6d4b\u601d\u8def - 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