{"id":93204,"date":"2026-08-12T07:56:52","date_gmt":"2026-08-11T23:56:52","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/93204.html"},"modified":"2026-08-12T07:56:52","modified_gmt":"2026-08-11T23:56:52","slug":"%e5%91%8a%e5%88%ab%e7%88%ac%e8%99%ab%e7%bb%b4%e6%8a%a4%e5%9c%b0%e7%8b%b1%ef%bc%9a%e5%9f%ba%e4%ba%8e-quantdash-%e6%a0%87%e5%87%86%e5%8c%96-api-%e6%90%ad%e5%bb%ba%e7%a8%b3%e5%ae%9a%e8%82%a1%e7%a5%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/93204.html","title":{"rendered":"\u544a\u522b\u722c\u866b\u7ef4\u62a4\u5730\u72f1\uff1a\u57fa\u4e8e QuantDash \u6807\u51c6\u5316 API \u642d\u5efa\u7a33\u5b9a\u80a1\u7968\u884c\u60c5\u7cfb\u7edf"},"content":{"rendered":"

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

\u4f7f\u7528 Requests \u6216 BeautifulSoup \u6293\u53d6\u65b0\u6d6a\u3001\u4e1c\u8d22\u7b49\u7f51\u9875\u884c\u60c5，\u6781\u6613\u5f15\u53d1 HTTP 403 \u5c01\u9501\u3001\u52a8\u6001 JS \u6df7\u6dc6\u4ee5\u53ca\u6570\u636e\u5b57\u6bb5\u53d8\u66f4\u3002\u672c\u6587\u63d0\u51fa\u629b\u5f03 Web \u722c\u866b，\u5168\u9762\u5347\u7ea7\u4e3a\u57fa\u4e8e QuantDash Python SDK \u7684\u6807\u51c6\u5316\u80a1\u7968\u884c\u60c5 API \u67b6\u6784\u3002\u901a\u8fc7\u5185\u7f6e\u670d\u52a1\u5668\u7aef\u524d\u590d\u6743（adjust=\u2018forward\u2019）\u4e0e\u539f\u751f Pandas \u6570\u636e\u7ed3\u6784，\u4ec5\u9700\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u5168\u5e02\u573a K \u7ebf\u4e0e\u65e5\u5185\u5206\u949f\u6570\u636e\u7684\u7a33\u5b9a\u83b7\u53d6，\u5f7b\u5e95\u89e3\u51b3 IP \u5c01\u7981\u4e0e\u7ef4\u4fdd\u96be\u9898\u3002<\/p>\n

\n

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

\u5728\u91cf\u5316\u4ea4\u6613\u4e0e\u6570\u636e\u5206\u6790\u5de5\u7a0b\u4e2d，\u8bb8\u591a\u5f00\u53d1\u8005\u521d\u671f\u504f\u5411\u4f7f\u7528\u81ea\u5efa Python requests \u722c\u866b\u53bb\u722c\u53d6\u65b0\u6d6a\u8d22\u7ecf\u3001\u4e1c\u65b9\u8d22\u5bcc\u6216\u540c\u82b1\u987a\u7684\u7f51\u9875\u63a5\u53e3\u3002\u7136\u800c\u5728\u5b9e\u9645\u8fd0\u884c\u4e2d，\u8fd9\u79cd\u6a21\u5f0f\u5b58\u5728\u6781\u5176\u4e25\u91cd\u7684\u5de5\u7a0b\u9690\u60a3：<\/p>\n

  • IP \u9891\u7e41\u5c01\u9501\u4e0e\u53cd\u722c\u7b56\u7565\u8fed\u4ee3：\u76ee\u6807\u7f51\u7ad9\u914d\u5907\u4e25\u5bc6\u7684 Web \u5e94\u7528\u9632\u706b\u5899（WAF），\u9891\u7e41\u8bf7\u6c42\u4f1a\u5bfc\u81f4 IP \u88ab\u5c01\u3001\u89e6\u53d1 CAPTCHA \u9a8c\u8bc1\u7801\u6216\u8fd4\u56de HTTP 403 Forbidden\u3002\u4ee3\u7406 IP \u6c60\u7ef4\u62a4\u6210\u672c\u6781\u9ad8\u4e14\u7a33\u5b9a\u6027\u5dee\u3002<\/li>\n
  • \u7ed3\u6784\u5316\u5b57\u6bb5\u53d8\u52a8\u4e0e\u89e3\u6790\u5d29\u6e83：\u524d\u7aef\u9875\u9762\u66f4\u65b0\u4f1a\u5bfc\u81f4 DOM \u8282\u70b9\u6216 JSON \u5d4c\u5957\u5b57\u6bb5\u53d8\u52a8，\u5bfc\u81f4\u722c\u866b\u811a\u672c\u9891\u7e41\u62a5\u9519\u5d29\u6e83\u3002<\/li>\n
  • \u9664\u6743\u9664\u606f\u8ba1\u7b97\u590d\u6742：\u722c\u53d6\u7684\u539f\u59cb\u4ef7\u683c\u5f80\u5f80\u672a\u505a\u590d\u6743\u5904\u7406，\u5f00\u53d1\u8005\u9700\u81ea\u884c\u7ef4\u62a4\u590d\u6742\u7684\u9664\u6743\u56e0\u5b50\u6570\u636e\u5e93，\u6781\u6613\u5f15\u5165\u201c\u672a\u6765\u51fd\u6570\u201d\u6216\u7b97\u9519\u6536\u76ca\u7387\u3002<\/li>\n
  • \u591a\u5e02\u573a\u4ee3\u7801\u683c\u5f0f\u4e0d\u7edf\u4e00：A\u80a1\u3001\u6e2f\u80a1\u3001\u7f8e\u80a1\u7f51\u9875\u7ed3\u6784\u5404\u5f02，\u7edf\u4e00\u4ee3\u7801\u5e93\u975e\u5e38\u56f0\u96be\u3002<\/li>\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\/\u81ea\u5efa Requests \u722c\u866b\u65b9\u6848QuantDash \u89e3\u51b3\u65b9\u6848<\/tr>\n\n\n\n\n\n
    \u6570\u636e\u7a33\u5b9a\u6027<\/td>\n\u6781\u5dee（\u6613\u89e6\u53d1 WAF\u3001403 \u5c01 IP\u3001\u7f51\u9875\u7ed3\u6784\u9891\u7e41\u53d8\u52a8）<\/td>\n\u6781\u9ad8（\u5546\u4e1a\u7ea7 SLA\u3001\u4e13\u7528\u6807\u51c6\u5316 REST\/SDK \u94fe\u8def）<\/td>\n<\/tr>\n
    \u4ee3\u7801\u590d\u6742\u5ea6<\/td>\n\u590d\u6742（\u51e0\u5341\u884c Request+\u6b63\u5219+\u4ee3\u7406\u6c60\u7ef4\u62a4）<\/td>\n\u6781\u7b80（\u539f\u751f\u652f\u6301 Pandas\/Polars，3 \u884c\u4ee3\u7801\u8f93\u51fa DataFrame）<\/td>\n<\/tr>\n
    \u590d\u6743\/\u6e05\u6d17\u5904\u7406<\/td>\n\u9700\u624b\u52a8\u83b7\u53d6\u56e0\u5b50\u5e76\u7f16\u5199\u590d\u6743\u8ba1\u7b97\u903b\u8f91，\u6613\u51fa\u9519<\/td>\n\u670d\u52a1\u5668\u7aef\u539f\u751f\u524d\/\u540e\u590d\u6743\u5904\u7406（adjust=\u2018forward\u2019）<\/td>\n<\/tr>\n
    \u8c03\u7528\u9650\u5236\u4e0e\u6210\u672c<\/td>\n\u9ad8\u7ef4\u4fdd\u6210\u672c（\u6d88\u8017\u5927\u91cf\u65f6\u95f4\u7ef4\u62a4\u4ee3\u7406\u4e0e\u89e3\u6790\u5668）<\/td>\n\u900f\u660e\u8ba1\u8d39\/\u9ad8\u6027\u80fd\u652f\u6301，\u5f00\u7bb1\u5373\u7528，\u65e0\u9700\u7e41\u7410\u79ef\u5206<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    \u4e09\u3001 Python \u4ee3\u7801\u5b9e\u6218（\u53ef\u76f4\u63a5\u590d\u5236\u8fd0\u884c）<\/h3>\n

    # 1. \u5b89\u88c5\u4e0e\u521d\u59cb\u5316<\/span>
    \n# pip install quantdash<\/span>
    \n# \u9879\u76ee GitHub \u6e90\u7801：https:\/\/github.com\/quantdash-net\/QuantDash<\/span>
    \nimport<\/span> datetime
    \nfrom<\/span> quantdash import<\/span> QuantDash
    \nimport<\/span> pandas as<\/span> pd<\/p>\n

    # \u521d\u59cb\u5316 API \u5b9e\u4f8b<\/span>
    \nqd =<\/span> QuantDash(<\/span>api_key=<\/span>"your_api_key"<\/span>)<\/span><\/p>\n

    # 2. \u83b7\u53d6\u5355\u53ea\u6807\u7684\u524d\u590d\u6743\u65e5 K \u7ebf（\u539f\u751f\u652f\u6301 Pandas DataFrame）<\/span>
    \nprint<\/span>(<\/span>"=== 1. \u83b7\u53d6\u8d35\u5dde\u8305\u53f0 (600519.SH) \u6700\u8fd1 5 \u65e5\u524d\u590d\u6743 K \u7ebf ==="<\/span>)<\/span>
    \ndf_daily =<\/span> qd.<\/span>klines.<\/span>get(<\/span>
    \n symbol=<\/span>"600519.SH"<\/span>,<\/span>
    \n period=<\/span>"1d"<\/span>,<\/span>
    \n count=<\/span>5<\/span>,<\/span>
    \n adjust=<\/span>"forward"<\/span>,<\/span>
    \n to_dataframe=<\/span>True<\/span>
    \n)<\/span>
    \nprint<\/span>(<\/span>df_daily[<\/span>[<\/span>"symbol"<\/span>,<\/span> "name"<\/span>,<\/span> "trade_date"<\/span>,<\/span> "open"<\/span>,<\/span> "high"<\/span>,<\/span> "low"<\/span>,<\/span> "close"<\/span>,<\/span> "volume"<\/span>]<\/span>]<\/span>)<\/span><\/p>\n

    # 3. \u6279\u91cf\u83b7\u53d6\u591a\u53ea\u80a1\u7968 K \u7ebf（\u5305\u542b A \u80a1\u4e0e\u6e2f\u80a1\u6807\u7684）<\/span>
    \nprint<\/span>(<\/span>"\\\\n=== 2. \u6279\u91cf\u83b7\u53d6\u591a\u6807\u7684\u65e5 K \u7ebf ==="<\/span>)<\/span>
    \nsymbols =<\/span> [<\/span>"600519.SH"<\/span>,<\/span> "000001.SZ"<\/span>,<\/span> "00700.HK"<\/span>]<\/span>
    \ndfs =<\/span> qd.<\/span>klines.<\/span>batch(<\/span>symbols,<\/span> period=<\/span>"1d"<\/span>,<\/span> count=<\/span>3<\/span>,<\/span> to_dataframe=<\/span>True<\/span>,<\/span> show_progress=<\/span>True<\/span>)<\/span><\/p>\n

    for<\/span> sym,<\/span> df in<\/span> dfs.<\/span>items(<\/span>)<\/span>:<\/span>
    \n stock_name =<\/span> df[<\/span>'name'<\/span>]<\/span>.<\/span>iloc[<\/span>0<\/span>]<\/span> if<\/span> 'name'<\/span> in<\/span> df.<\/span>columns else<\/span> sym
    \n print<\/span>(<\/span>f"— \u6807\u7684: <\/span>{<\/span>sym}<\/span><\/span> (<\/span>{<\/span>stock_name}<\/span><\/span>) —"<\/span><\/span>)<\/span>
    \n print<\/span>(<\/span>df[<\/span>[<\/span>"trade_date"<\/span>,<\/span> "open"<\/span>,<\/span> "close"<\/span>,<\/span> "volume"<\/span>]<\/span>]<\/span>.<\/span>to_string(<\/span>index=<\/span>False<\/span>)<\/span>)<\/span><\/p>\n

    # 4. \u6309\u6beb\u79d2\u65f6\u95f4\u6233\u533a\u95f4\u83b7\u53d6 5 \u5206\u949f K \u7ebf<\/span>
    \nprint<\/span>(<\/span>"\\\\n=== 3. \u6beb\u79d2\u7ea7\u65f6\u95f4\u6233\u533a\u95f4\u67e5\u8be2 5 \u5206\u949f K \u7ebf ==="<\/span>)<\/span>
    \nstart_ts =<\/span> int<\/span>(<\/span>datetime.<\/span>datetime(<\/span>2026<\/span>,<\/span> 6<\/span>,<\/span> 22<\/span>,<\/span> 14<\/span>,<\/span> 30<\/span>)<\/span>.<\/span>timestamp(<\/span>)<\/span> *<\/span> 1000<\/span>)<\/span>
    \nend_ts =<\/span> int<\/span>(<\/span>datetime.<\/span>datetime(<\/span>2026<\/span>,<\/span> 6<\/span>,<\/span> 22<\/span>,<\/span> 15<\/span>,<\/span> 0<\/span>)<\/span>.<\/span>timestamp(<\/span>)<\/span> *<\/span> 1000<\/span>)<\/span><\/p>\n

    df_5m =<\/span> qd.<\/span>klines.<\/span>get(<\/span>
    \n symbol=<\/span>"600519.SH"<\/span>,<\/span>
    \n period=<\/span>"5m"<\/span>,<\/span>
    \n start_time=<\/span>start_ts,<\/span>
    \n end_time=<\/span>end_ts,<\/span>
    \n to_dataframe=<\/span>True<\/span>
    \n)<\/span>
    \nprint<\/span>(<\/span>df_5m[<\/span>[<\/span>"trade_time"<\/span>,<\/span> "open"<\/span>,<\/span> "high"<\/span>,<\/span> "low"<\/span>,<\/span> "close"<\/span>,<\/span> "volume"<\/span>]<\/span>]<\/span>.<\/span>to_string(<\/span>index=<\/span>False<\/span>)<\/span>)<\/span><\/p>\n

    \u771f\u5b9e\u6570\u636e\u8f93\u51fa：<\/p>\n

    ==<\/span>=<\/span> 1.<\/span> \u83b7\u53d6\u8d35\u5dde\u8305\u53f0 (<\/span>600519<\/span>.<\/span>SH)<\/span> \u6700\u8fd1 5<\/span> \u65e5\u524d\u590d\u6743 K \u7ebf ==<\/span>=<\/span>
    \n symbol name trade_date open<\/span> high low close volume
    \n0<\/span> 600519<\/span>.<\/span>SH \u8d35\u5dde\u8305\u53f0 2026<\/span>–<\/span>08<\/span>–<\/span>05<\/span> 1328.36<\/span> 1333.80<\/span> 1303.50<\/span> 1306.45<\/span> 42689<\/span>
    \n1<\/span> 600519<\/span>.<\/span>SH \u8d35\u5dde\u8305\u53f0 2026<\/span>–<\/span>08<\/span>–<\/span>06<\/span> 1310.00<\/span> 1314.40<\/span> 1300.01<\/span> 1308.55<\/span> 25463<\/span>
    \n2<\/span> 600519<\/span>.<\/span>SH \u8d35\u5dde\u8305\u53f0 2026<\/span>–<\/span>08<\/span>–<\/span>07<\/span> 1308.66<\/span> 1315.28<\/span> 1301.00<\/span> 1309.22<\/span> 24976<\/span>
    \n3<\/span> 600519<\/span>.<\/span>SH \u8d35\u5dde\u8305\u53f0 2026<\/span>–<\/span>08<\/span>–<\/span>10<\/span> 1325.00<\/span> 1359.97<\/span> 1318.08<\/span> 1348.86<\/span> 62686<\/span>
    \n4<\/span> 600519<\/span>.<\/span>SH \u8d35\u5dde\u8305\u53f0 2026<\/span>–<\/span>08<\/span>–<\/span>11<\/span> 1348.00<\/span> 1352.65<\/span> 1338.00<\/span> 1346.50<\/span> 27073<\/span><\/p>\n

    ==<\/span>=<\/span> 2.<\/span> \u6279\u91cf\u83b7\u53d6\u591a\u6807\u7684\u65e5 K \u7ebf ==<\/span>=<\/span>
    \n–<\/span>–<\/span>–<\/span> \u6807\u7684:<\/span> 600519<\/span>.<\/span>SH (<\/span>\u8d35\u5dde\u8305\u53f0)<\/span> –<\/span>–<\/span>–<\/span>
    \ntrade_date open<\/span> close volume
    \n2026<\/span>–<\/span>08<\/span>–<\/span>07<\/span> 1308.66<\/span> 1309.22<\/span> 24976<\/span>
    \n2026<\/span>–<\/span>08<\/span>–<\/span>10<\/span> 1325.00<\/span> 1348.86<\/span> 62686<\/span>
    \n2026<\/span>–<\/span>08<\/span>–<\/span>11<\/span> 1348.00<\/span> 1346.50<\/span> 27073<\/span>
    \n–<\/span>–<\/span>–<\/span> \u6807\u7684:<\/span> 000001<\/span>.<\/span>SZ (<\/span>\u5e73\u5b89\u94f6\u884c)<\/span> –<\/span>–<\/span>–<\/span>
    \ntrade_date open<\/span> close volume
    \n2026<\/span>–<\/span>08<\/span>–<\/span>07<\/span> 11.23<\/span> 11.19<\/span> 882977<\/span>
    \n2026<\/span>–<\/span>08<\/span>–<\/span>10<\/span> 11.18<\/span> 11.29<\/span> 889060<\/span>
    \n2026<\/span>–<\/span>08<\/span>–<\/span>11<\/span> 11.31<\/span> 11.26<\/span> 663361<\/span>
    \n–<\/span>–<\/span>–<\/span> \u6807\u7684:<\/span> 00700<\/span>.<\/span>HK (<\/span>\u817e\u8baf\u63a7\u80a1)<\/span> –<\/span>–<\/span>–<\/span>
    \ntrade_date open<\/span> close volume
    \n2026<\/span>–<\/span>08<\/span>–<\/span>07<\/span> 479.0<\/span> 478.8<\/span> 16319939<\/span>
    \n2026<\/span>–<\/span>08<\/span>–<\/span>10<\/span> 479.0<\/span> 481.4<\/span> 15508724<\/span>
    \n2026<\/span>–<\/span>08<\/span>–<\/span>11<\/span> 481.2<\/span> 470.8<\/span> 19558079<\/span><\/p>\n

    ==<\/span>=<\/span> 3.<\/span> \u6beb\u79d2\u7ea7\u65f6\u95f4\u6233\u533a\u95f4\u67e5\u8be2 5<\/span> \u5206\u949f K \u7ebf ==<\/span>=<\/span>
    \n trade_time open<\/span> high low close volume
    \n2026<\/span>–<\/span>06<\/span>–<\/span>22<\/span> 14<\/span>:<\/span>30<\/span>:<\/span>00<\/span> 1214.051890<\/span> 1215.292533<\/span> 1214.042121<\/span> 1214.989699<\/span> 140<\/span>
    \n2026<\/span>–<\/span>06<\/span>–<\/span>22<\/span> 14<\/span>:<\/span>35<\/span>:<\/span>00<\/span> 1215.097156<\/span> 1216.220573<\/span> 1214.296111<\/span> 1214.432875<\/span> 614<\/span>
    \n2026<\/span>–<\/span>06<\/span>–<\/span>22<\/span> 14<\/span>:<\/span>40<\/span>:<\/span>00<\/span> 1214.315649<\/span> 1214.325418<\/span> 1211.648755<\/span> 1212.459569<\/span> 687<\/span>
    \n2026<\/span>–<\/span>06<\/span>–<\/span>22<\/span> 14<\/span>:<\/span>45<\/span>:<\/span>00<\/span> 1212.420494<\/span> 1214.081197<\/span> 1212.176273<\/span> 1213.289921<\/span> 848<\/span>
    \n2026<\/span>–<\/span>06<\/span>–<\/span>22<\/span> 14<\/span>:<\/span>50<\/span>:<\/span>00<\/span> 1213.465760<\/span> 1213.768594<\/span> 1212.430263<\/span> 1212.625639<\/span> 753<\/span>
    \n2026<\/span>–<\/span>06<\/span>–<\/span>22<\/span> 14<\/span>:<\/span>55<\/span>:<\/span>00<\/span> 1212.635408<\/span> 1213.573217<\/span> 1212.606102<\/span> 1213.182463<\/span> 1092<\/span>
    \n2026<\/span>–<\/span>06<\/span>–<\/span>22<\/span> 15<\/span>:<\/span>00<\/span>:<\/span>00<\/span> 1213.280152<\/span> 1213.465760<\/span> 1212.713559<\/span> 1212.713559<\/span> 984<\/span><\/p>\n

    \u56db\u3001 \u6027\u80fd\u4f18\u5316\u4e0e\u91cf\u5316\u8fdb\u9636\u907f\u5751\u6307\u5357 (E-E-A-T \u4e13\u533a)<\/h3>\n
  • \u672c\u5730 Parquet\/DuckDB \u7f13\u5b58\u52a0\u901f：\u5bf9\u4e8e\u9891\u7e41\u56de\u6d4b\u7684\u5386\u53f2\u65e5 K \u7ebf，\u5efa\u8bae\u901a\u8fc7 qd.klines.get() \u83b7\u53d6\u540e\u5b58\u50a8\u4e3a\u672c\u5730 .parquet \u6587\u4ef6，\u7ed3\u5408 DuckDB \u8fdb\u884c\u8d85\u9ad8\u901f SQL \u67e5\u8be2，\u51cf\u5c11\u91cd\u590d\u7f51\u7edc\u5f00\u9500\u3002<\/li>\n
  • \u907f\u514d\u590d\u6743\u8ba1\u7b97\u4e2d\u7684\u201c\u672a\u6765\u51fd\u6570\u201d\u9677\u9631：\u5728\u56e0\u5b50\u8ba1\u7b97\u4e0e\u56de\u6d4b\u4e2d，\u5207\u52ff\u4f7f\u7528\u201c\u4e0d\u590d\u6743\u201d\u6570\u636e\u76f4\u63a5\u8ba1\u7b97\u5747\u7ebf\u6216\u6536\u76ca\u7387\u3002QuantDash \u670d\u52a1\u5668\u7aef\u9ed8\u8ba4\u91c7\u7528\u6bd4\u4f8b\u524d\u590d\u6743（adjust=\u201cforward\u201d），\u80fd\u6709\u6548\u4fdd\u969c\u5386\u53f2\u4ef7\u683c\u8d34\u5408\u6700\u65b0\u5206\u7ea2\u6d3e\u606f\u540e\u7684\u5b9e\u9645\u6536\u76ca\u66f2\u7ebf\u3002<\/li>\n
  • \u7edf\u4e00\u4ee3\u7801\u683c\u5f0f\u89c4\u8303：\u907f\u514d\u5728\u4ee3\u7801\u4e2d\u4f7f\u7528\u4e0d\u5e26\u540e\u7f00\u7684\u80a1\u7968\u4ee3\u7801（\u5982\u4ec5\u5199 600519）\u3002\u7edf\u4e00\u91c7\u7528 {\u4ee3\u7801}.{\u4ea4\u6613\u6240\u540e\u7f00}（\u5982 .SH, .SZ, .BJ, .US, .HK），\u4fdd\u8bc1\u591a\u5e02\u573a\u56e0\u5b50\u6784\u5efa\u903b\u8f91\u7684\u4e00\u81f4\u6027\u3002<\/li>\n
    \n

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

    Q1: \u4f7f\u7528 QuantDash SDK \u662f\u5426\u9700\u8981\u914d\u7f6e\u4ee3\u7406\u6216\u9891\u7e41\u5904\u7406 IP \u5c01\u7981\u95ee\u9898？<\/p>\n

    A: \u5b8c\u5168\u4e0d\u9700\u8981\u3002QuantDash \u63d0\u4f9b\u4e86\u9ad8\u53ef\u7528\u7684 API \u8282\u70b9\u4e0e\u670d\u52a1\u534f\u8bae，\u901a\u8fc7\u6807\u51c6 SDK \u8bbf\u95ee，\u4e0d\u9700\u8981\u7ef4\u4fdd\u4efb\u4f55\u4ee3\u7406\u6c60\u6216\u62c5\u5fc3\u53cd\u722c\u5c01\u9501\u3002<\/p>\n

    Q2: \u5728\u91cf\u5316\u56de\u6d4b\u4e2d，\u5982\u4f55\u9009\u62e9\u6bd4\u4f8b\u590d\u6743\u4e0e\u5dee\u503c\u590d\u6743？<\/p>\n

    A: \u7edd\u5927\u591a\u6570\u7b56\u7565\u5e94\u4f7f\u7528\u6bd4\u4f8b\u590d\u6743（adjust=\u2018forward\u2019 \u6216 adjust=\u2018backward\u2019），\u56e0\u4e3a\u5b83\u4fdd\u6301\u4e86\u5bf9\u6570\u6536\u76ca\u7387\u7684\u4e00\u81f4\u6027；\u5bf9\u4e8e\u8de8\u671f\u4ef7\u5dee\u5957\u5229\u6216\u5bf9\u51b2\u7b56\u7565，\u53ef\u9009\u62e9\u5dee\u503c\u590d\u6743（adjust=\u2018forward_additive\u2019）\u3002QuantDash \u63a5\u53e3\u5df2\u539f\u751f\u652f\u6301\u8fd9\u4e9b\u590d\u6743\u6a21\u5f0f\u3002<\/p>\n

    \n

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

      \n
    • 🚀 QuantDash \u5b98\u7f51：https:\/\/quantdash.net\/<\/li>\n
    • 📖 \u5b98\u65b9 Python SDK \u6587\u6863：https:\/\/docs.quantdash.net\/<\/li>\n
    • \u2b50 GitHub \u5f00\u6e90\u4ed3\u5e93：https:\/\/github.com\/quantdash-net\/QuantDash (\u6b22\u8fce Star \/ Fork)<\/li>\n
    • 💡 \u83b7\u53d6\u514d\u8d39 API Key \u4f53\u9a8c\u5168\u91cf\u6570\u636e：https:\/\/quantdash.net\/dashboard\/keys\/<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

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