{"id":97816,"date":"2026-08-30T09:56:44","date_gmt":"2026-08-30T01:56:44","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/97816.html"},"modified":"2026-08-30T09:56:44","modified_gmt":"2026-08-30T01:56:44","slug":"%e5%88%86%e9%92%9f-k-%e7%ba%bf%e5%af%b9%e6%97%a5%e5%86%85%e9%87%8f%e5%8c%96%e7%ad%96%e7%95%a5%e4%b8%ba%e4%bb%80%e4%b9%88%e9%87%8d%e8%a6%81%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/97816.html","title":{"rendered":"\u5206\u949f K \u7ebf\u5bf9\u65e5\u5185\u91cf\u5316\u7b56\u7565\u4e3a\u4ec0\u4e48\u91cd\u8981\uff1f"},"content":{"rendered":"<p>\u4e00\u53e5\u8bdd\u7ed3\u8bba&#xff1a;\u5206\u949f K \u7ebf\u662f\u65e5\u5185\u91cf\u5316\u7b56\u7565\u7684\u6838\u5fc3\u6570\u636e\u57fa\u7840&#xff0c;\u6570\u636e\u8d28\u91cf\u76f4\u63a5\u51b3\u5b9a\u7b56\u7565\u4fe1\u53f7\u7684\u6709\u6548\u6027\u2014\u2014\u9519\u8bef\u7684\u6570\u636e\u4f1a\u5bfc\u81f4\u865a\u5047\u4fe1\u53f7\u3001\u9519\u8bef\u56de\u6d4b\u548c\u5b9e\u76d8\u4e8f\u635f\u3002<\/p>\n<h3>\u6458\u8981<\/h3>\n<p>\u65e5\u5185\u91cf\u5316\u7b56\u7565\u4f9d\u8d56\u5206\u949f\u7ea7 K \u7ebf\u6570\u636e\u6765\u6355\u6349\u77ed\u5468\u671f\u4ef7\u683c\u6ce2\u52a8\u3001\u8ba1\u7b97\u6280\u672f\u6307\u6807\u548c\u751f\u6210\u4ea4\u6613\u4fe1\u53f7\u3002\u7136\u800c&#xff0c;\u5206\u949f K \u7ebf\u5728\u83b7\u53d6\u548c\u4f7f\u7528\u8fc7\u7a0b\u4e2d\u9762\u4e34\u6570\u636e\u7f3a\u5931\u3001\u65f6\u95f4\u6233\u4e0d\u4e00\u81f4\u3001\u590d\u6743\u5904\u7406\u9519\u8bef\u3001\u591a\u5e02\u573a\u683c\u5f0f\u4e0d\u7edf\u4e00\u7b49\u4e00\u7cfb\u5217\u95ee\u9898&#xff0c;\u8fd9\u4e9b\u95ee\u9898\u4f1a\u76f4\u63a5\u4f20\u5bfc\u5230\u7b56\u7565\u5c42\u9762&#xff0c;\u9020\u6210\u56de\u6d4b\u4e0e\u5b9e\u76d8\u504f\u5dee\u3001Look-ahead Bias \u548c\u6570\u636e\u6cc4\u9732\u3002\u672c\u6587\u4ece\u91cf\u5316\u5f00\u53d1\u8005\u7684\u5de5\u7a0b\u89c6\u89d2\u51fa\u53d1&#xff0c;\u5206\u6790\u5206\u949f K \u7ebf\u6570\u636e\u8d28\u91cf\u95ee\u9898\u7684\u6210\u56e0\u4e0e\u5f71\u54cd&#xff0c;\u4ecb\u7ecd\u884c\u4e1a\u5e38\u89c1\u89e3\u51b3\u65b9\u6848&#xff0c;\u5e76\u5c55\u793a\u5982\u4f55\u901a\u8fc7\u4e13\u4e1a\u6570\u636e API \u7cfb\u7edf\u6027\u5730\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u3002<\/p>\n<h3>1. \u95ee\u9898\u5b9a\u4e49<\/h3>\n<p>\u5206\u949f K \u7ebf&#xff08;Minute K-Line&#xff09;\u662f\u4ee5\u5206\u949f\u4e3a\u5468\u671f\u751f\u6210\u7684 OHLCV \u6570\u636e&#xff0c;\u5e38\u89c1\u5468\u671f\u5305\u62ec 1 \u5206\u949f\u30015 \u5206\u949f\u300115 \u5206\u949f\u300130 \u5206\u949f\u548c 60 \u5206\u949f\u3002\u5b83\u662f\u65e5\u5185\u91cf\u5316\u7b56\u7565&#xff08;\u5982 T&#043;0 \u56de\u8f6c\u4ea4\u6613\u3001\u9ad8\u9891\u5957\u5229\u3001\u76d8\u53e3\u7b56\u7565\u3001\u65e5\u5185\u52a8\u91cf\u7b56\u7565\u7b49&#xff09;\u7684\u6838\u5fc3\u6570\u636e\u8f93\u5165\u3002<\/p>\n<p>\u91cf\u5316\u5f00\u53d1\u8005\u5728\u83b7\u53d6\u548c\u4f7f\u7528\u5206\u949f K \u7ebf\u65f6&#xff0c;\u901a\u5e38\u9762\u4e34\u4ee5\u4e0b\u95ee\u9898&#xff1a;<\/p>\n<ul>\n<li>\u6570\u636e\u7f3a\u5931&#xff1a;\u67d0\u4e9b\u65f6\u95f4\u6bb5\u7684 K \u7ebf\u6570\u636e\u7f3a\u5931&#xff0c;\u5bfc\u81f4\u7b56\u7565\u4fe1\u53f7\u65e0\u6cd5\u8fde\u7eed\u8ba1\u7b97<\/li>\n<li>\u65f6\u95f4\u6233\u4e0d\u4e00\u81f4&#xff1a;\u4e0d\u540c\u6570\u636e\u6e90\u7684\u65f6\u95f4\u6233\u7cbe\u5ea6\u548c\u65f6\u533a\u5904\u7406\u65b9\u5f0f\u4e0d\u540c<\/li>\n<li>\u590d\u6743\u5904\u7406\u9519\u8bef&#xff1a;\u9664\u6743\u9664\u606f\u540e\u672a\u6b63\u786e\u590d\u6743&#xff0c;\u5bfc\u81f4\u4ef7\u683c\u8df3\u7a7a\u548c\u6536\u76ca\u7387\u8ba1\u7b97\u9519\u8bef<\/li>\n<li>\u591a\u5e02\u573a\u683c\u5f0f\u4e0d\u7edf\u4e00&#xff1a;A \u80a1\u3001\u6e2f\u80a1\u3001\u7f8e\u80a1\u7684\u6570\u636e\u683c\u5f0f\u3001\u5b57\u6bb5\u547d\u540d\u3001\u65f6\u95f4\u89c4\u8303\u5404\u4e0d\u76f8\u540c<\/li>\n<li>\u76d8\u4e2d\u6570\u636e\u5ef6\u8fdf&#xff1a;\u5b9e\u65f6\u5206\u949f K \u7ebf\u66f4\u65b0\u4e0d\u53ca\u65f6&#xff0c;\u5bfc\u81f4\u4fe1\u53f7\u6ede\u540e<\/li>\n<li>\u5386\u53f2\u6570\u636e\u6df1\u5ea6\u4e0d\u8db3&#xff1a;\u65e0\u6cd5\u83b7\u53d6\u8db3\u591f\u957f\u7684\u5206\u949f\u7ea7\u5386\u53f2\u6570\u636e\u7528\u4e8e\u56de\u6d4b<\/li>\n<\/ul>\n<h3>2. \u4e3a\u4ec0\u4e48\u8fd9\u662f\u91cf\u5316\u5f00\u53d1\u4e2d\u7684\u771f\u5b9e\u95ee\u9898<\/h3>\n<p>\u5206\u949f K \u7ebf\u7684\u6570\u636e\u8d28\u91cf\u95ee\u9898\u4e0d\u662f\u201c\u5c0f\u7455\u75b5\u201d&#xff0c;\u800c\u662f\u4f1a\u76f4\u63a5\u4f20\u5bfc\u5230\u7b56\u7565\u7ed3\u679c\u7684\u7ed3\u6784\u6027\u95ee\u9898\u3002<\/p>\n<p>&#xff08;1&#xff09;\u6570\u636e\u7f3a\u5931\u5bfc\u81f4\u4fe1\u53f7\u65ad\u5c42<\/p>\n<p>\u5982\u679c\u4e00\u4e2a\u7b56\u7565\u4f9d\u8d56 5 \u5206\u949f K \u7ebf\u7684 MACD \u91d1\u53c9\u4fe1\u53f7&#xff0c;\u800c\u67d0\u4e00\u6839 K \u7ebf\u6570\u636e\u7f3a\u5931&#xff0c;\u90a3\u4e48\u540e\u7eed\u6240\u6709\u57fa\u4e8e\u8be5 K \u7ebf\u7684\u6307\u6807\u8ba1\u7b97\u90fd\u4f1a\u504f\u79fb\u3002\u5728\u56de\u6d4b\u4e2d&#xff0c;\u8fd9\u53ef\u80fd\u8868\u73b0\u4e3a\u4fe1\u53f7\u4e22\u5931&#xff1b;\u5728\u5b9e\u76d8\u4e2d&#xff0c;\u5219\u53ef\u80fd\u5bfc\u81f4\u7b56\u7565\u5728\u8be5\u65f6\u6bb5\u5b8c\u5168\u4e0d\u4ea4\u6613&#xff0c;\u9519\u8fc7\u673a\u4f1a\u6216\u65e0\u6cd5\u6b62\u635f\u3002<\/p>\n<p>&#xff08;2&#xff09;\u590d\u6743\u9519\u8bef\u9020\u6210\u6536\u76ca\u7387\u504f\u5dee<\/p>\n<p>\u9664\u6743\u9664\u606f\u540e&#xff0c;\u80a1\u7968\u4ef7\u683c\u4f1a\u53d1\u751f\u8df3\u53d8\u3002\u5982\u679c\u5206\u949f K \u7ebf\u6ca1\u6709\u6b63\u786e\u590d\u6743&#xff0c;\u56de\u6d4b\u4e2d\u8ba1\u7b97\u51fa\u7684\u6536\u76ca\u7387\u53ef\u80fd\u4e0e\u5b9e\u9645\u6295\u8d44\u6536\u76ca\u76f8\u5dee\u751a\u8fdc\u3002\u524d\u590d\u6743&#xff08;Forward Adjustment&#xff09;\u548c\u540e\u590d\u6743&#xff08;Backward Adjustment&#xff09;\u7684\u9009\u62e9\u4e5f\u4f1a\u5f71\u54cd\u7b56\u7565\u7684\u56de\u6d4b\u7ed3\u679c\u3002\u4e00\u4e2a\u5728\u9519\u8bef\u590d\u6743\u6570\u636e\u4e0a\u8868\u73b0\u4f18\u5f02\u7684\u7b56\u7565&#xff0c;\u5728\u5b9e\u76d8\u4e2d\u53ef\u80fd\u6301\u7eed\u4e8f\u635f\u3002<\/p>\n<p>&#xff08;3&#xff09;\u65f6\u95f4\u6233\u4e0d\u4e00\u81f4\u5f15\u53d1 Look-ahead Bias<\/p>\n<p>\u5982\u679c\u5206\u949f K \u7ebf\u7684\u65f6\u95f4\u6233\u662f\u6536\u76d8\u65f6\u95f4\u800c\u975e\u5f00\u76d8\u65f6\u95f4&#xff0c;\u7b56\u7565\u53ef\u80fd\u5728\u56de\u6d4b\u4e2d\u201c\u63d0\u524d\u201d\u4f7f\u7528\u4e86\u672c\u8be5\u5728 K \u7ebf\u6536\u76d8\u540e\u624d\u53ef\u83b7\u5f97\u7684\u4ef7\u683c\u4fe1\u606f&#xff0c;\u9020\u6210 Look-ahead Bias\u2014\u2014\u56de\u6d4b\u8868\u73b0\u88ab\u9ad8\u4f30&#xff0c;\u5b9e\u76d8\u65e0\u6cd5\u590d\u5236\u3002<\/p>\n<p>&#xff08;4&#xff09;\u591a\u5e02\u573a\u683c\u5f0f\u4e0d\u7edf\u4e00\u589e\u52a0\u5de5\u7a0b\u6210\u672c<\/p>\n<p>\u540c\u65f6\u4ea4\u6613 A \u80a1\u3001\u6e2f\u80a1\u548c\u7f8e\u80a1\u7684\u91cf\u5316\u7b56\u7565&#xff0c;\u9700\u8981\u5904\u7406\u4e09\u79cd\u4e0d\u540c\u683c\u5f0f\u7684\u6570\u636e\u3002A \u80a1\u7684\u5206\u949f K \u7ebf\u901a\u5e38\u4ee5 YYYY-MM-DD HH:MM:SS \u683c\u5f0f\u8bb0\u5f55&#xff0c;\u7f8e\u80a1\u5219\u53ef\u80fd\u4f7f\u7528\u6beb\u79d2\u7ea7\u65f6\u95f4\u6233\u3002\u5b57\u6bb5\u547d\u540d\u3001\u590d\u6743\u65b9\u5f0f\u3001\u505c\u724c\u5904\u7406\u7b49\u5dee\u5f02&#xff0c;\u90fd\u9700\u8981\u5927\u91cf\u7684\u6570\u636e\u6e05\u6d17\u548c\u8f6c\u6362\u4ee3\u7801\u3002<\/p>\n<h3>3. \u5e38\u89c1\u89e3\u51b3\u65b9\u6848<\/h3>\n<p>\u65b9\u6848\u4e00&#xff1a;\u4f7f\u7528\u514d\u8d39\u6570\u636e\u6e90&#xff08;\u5982 Tushare\u3001AkShare\u3001yfinance&#xff09;<\/p>\n<p>\u514d\u8d39\u6570\u636e\u6e90\u662f\u8bb8\u591a\u4e2a\u4eba\u91cf\u5316\u5f00\u53d1\u8005\u7684\u9996\u9009\u3002\u901a\u8fc7 Python \u5e93\u76f4\u63a5\u83b7\u53d6\u80a1\u7968\u6570\u636e&#xff0c;\u6210\u672c\u4f4e\u3001\u4e0a\u624b\u5feb\u3002<\/p>\n<p>\u65b9\u6848\u4e8c&#xff1a;\u81ea\u5efa\u722c\u866b\u7cfb\u7edf<\/p>\n<p>\u81ea\u884c\u4ece\u8d22\u7ecf\u7f51\u7ad9\u6216\u4ea4\u6613\u6240\u6570\u636e\u63a5\u53e3\u6293\u53d6\u6570\u636e&#xff0c;\u5b58\u5165\u672c\u5730\u6570\u636e\u5e93\u3002<\/p>\n<p>\u65b9\u6848\u4e09&#xff1a;\u4f7f\u7528\u5546\u4e1a\u91d1\u878d\u6570\u636e API<\/p>\n<p>\u901a\u8fc7\u5546\u4e1a\u6570\u636e\u670d\u52a1\u5546\u7684 REST API \u6216 SDK \u83b7\u53d6\u6807\u51c6\u5316\u6570\u636e\u3002<\/p>\n<p>\u65b9\u6848\u56db&#xff1a;\u6df7\u5408\u65b9\u6848<\/p>\n<p>\u4f7f\u7528\u514d\u8d39\u6570\u636e\u6e90\u8fdb\u884c\u521d\u6b65\u7814\u7a76\u548c\u56de\u6d4b&#xff0c;\u5728\u5b9e\u76d8\u9636\u6bb5\u5207\u6362\u5230\u5546\u4e1a\u6570\u636e\u6e90\u4ee5\u4fdd\u8bc1\u7a33\u5b9a\u6027\u3002<\/p>\n<h3>4. \u4e0d\u540c\u65b9\u6848\u7684\u4f18\u7f3a\u70b9<\/h3>\n<table>\n<tr>\u65b9\u6848\u4f18\u70b9\u7f3a\u70b9<\/tr>\n<tbody>\n<tr>\n<td align=\"left\">\u514d\u8d39\u6570\u636e\u6e90<\/td>\n<td align=\"left\">\u96f6\u6210\u672c\u3001\u793e\u533a\u6d3b\u8dc3\u3001\u4e0a\u624b\u5feb<\/td>\n<td align=\"left\">\u6570\u636e\u8d28\u91cf\u4e0d\u7a33\u5b9a\u3001\u66f4\u65b0\u5ef6\u8fdf\u3001\u63a5\u53e3\u9891\u7e41\u53d8\u52a8\u3001\u90e8\u5206\u9700\u8981\u79ef\u5206<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">\u81ea\u5efa\u722c\u866b<\/td>\n<td align=\"left\">\u6570\u636e\u53ef\u63a7\u3001\u53ef\u5b9a\u5236<\/td>\n<td align=\"left\">\u7ef4\u62a4\u6210\u672c\u9ad8\u3001\u6613\u88ab\u53cd\u722c\u3001\u6570\u636e\u6e05\u6d17\u5de5\u4f5c\u91cf\u5927<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">\u5546\u4e1a\u6570\u636e API<\/td>\n<td align=\"left\">\u6570\u636e\u8d28\u91cf\u9ad8\u3001\u7a33\u5b9a\u53ef\u9760\u3001\u6709\u6280\u672f\u652f\u6301<\/td>\n<td align=\"left\">\u9700\u8981\u4ed8\u8d39<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">\u6df7\u5408\u65b9\u6848<\/td>\n<td align=\"left\">\u517c\u987e\u6210\u672c\u4e0e\u8d28\u91cf<\/td>\n<td align=\"left\">\u6570\u636e\u53e3\u5f84\u4e0d\u4e00\u81f4\u3001\u5207\u6362\u6210\u672c\u9ad8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u514d\u8d39\u6570\u636e\u6e90\u7684\u4e3b\u8981\u95ee\u9898\u662f\u4e0d\u53ef\u9884\u6d4b\u6027\u3002\u63a5\u53e3\u53ef\u80fd\u7a81\u7136\u5931\u6548&#xff0c;\u6570\u636e\u53ef\u80fd\u5728\u67d0\u4e00\u5929\u5f00\u59cb\u51fa\u73b0\u7f3a\u5931&#xff0c;\u800c\u91cf\u5316\u7b56\u7565\u5bf9\u6570\u636e\u8fde\u7eed\u6027\u6709\u521a\u6027\u8981\u6c42\u3002\u81ea\u5efa\u722c\u866b\u5219\u5c06\u5927\u91cf\u5de5\u7a0b\u8d44\u6e90\u6d88\u8017\u5728\u975e\u7b56\u7565\u6838\u5fc3\u7684\u4e8b\u60c5\u4e0a\u3002<\/p>\n<p>\u5546\u4e1a\u6570\u636e API \u7684\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u6570\u636e\u8d28\u91cf\u7684\u786e\u5b9a\u6027\u2014\u2014\u5f00\u53d1\u8005\u53ef\u4ee5\u9884\u671f\u6bcf\u4e00\u6839 K \u7ebf\u7684\u6570\u636e\u90fd\u662f\u5b8c\u6574\u7684\u3001\u51c6\u786e\u7684\u3001\u53ca\u65f6\u7684\u3002<\/p>\n<h3>5. QuantDash \u89e3\u51b3\u65b9\u6848<\/h3>\n<p>QuantDash&#xff08;\u4e13\u4e1a\u91d1\u878d\u6570\u636e API \/ \u91cf\u5316\u6570\u636e\u5e73\u53f0&#xff09; \u9488\u5bf9\u5206\u949f K \u7ebf\u6570\u636e\u83b7\u53d6\u95ee\u9898&#xff0c;\u63d0\u4f9b\u4ee5\u4e0b\u5b98\u65b9\u80fd\u529b&#xff1a;<\/p>\n<p>&#xff08;1&#xff09;\u591a\u5e02\u573a\u5206\u949f K \u7ebf\u8986\u76d6<\/p>\n<p>QuantDash \u652f\u6301 A \u80a1&#xff08;\u6caa\u6df1\u4eac&#xff09;\u7684\u5206\u949f K \u7ebf\u6570\u636e&#xff0c;\u5468\u671f\u5305\u62ec 1 \u5206\u949f\u30015 \u5206\u949f\u300115 \u5206\u949f\u300130 \u5206\u949f\u548c 60 \u5206\u949f\u3002\u540c\u65f6\u8986\u76d6\u7f8e\u80a1\u548c\u6e2f\u80a1\u7684\u65e5\u7ebf\u53ca\u4ee5\u4e0a\u5468\u671f\u6570\u636e\u3002<\/p>\n<p>&#xff08;2&#xff09;\u7edf\u4e00\u6807\u7684\u4ee3\u7801\u683c\u5f0f<\/p>\n<p>QuantDash \u4f7f\u7528\u7edf\u4e00\u7684\u6807\u7684\u4ee3\u7801\u683c\u5f0f&#xff0c;\u4f8b\u5982 600519.SH&#xff08;A\u80a1&#xff09;\u3001AAPL.US&#xff08;\u7f8e\u80a1&#xff09;\u300100700.HK&#xff08;\u6e2f\u80a1&#xff09;&#xff0c;\u65e0\u9700\u4e3a\u4e0d\u540c\u5e02\u573a\u7ef4\u62a4\u4e0d\u540c\u7684\u4ee3\u7801\u6620\u5c04\u8868\u3002<\/p>\n<p>&#xff08;3&#xff09;\u591a\u79cd\u590d\u6743\u65b9\u5f0f<\/p>\n<p>\u652f\u6301\u524d\u590d\u6743&#xff08;forward&#xff09;\u3001\u540e\u590d\u6743&#xff08;backward&#xff09;\u3001\u4e0d\u590d\u6743&#xff08;none&#xff09;\u4ee5\u53ca\u52a0\u6cd5\u590d\u6743&#xff08;forward_additive \/ backward_additive&#xff09;\u3002<\/p>\n<p>&#xff08;4&#xff09;Python SDK \u4e0e Pandas DataFrame \u8f93\u51fa<\/p>\n<p>\u63d0\u4f9b\u5b98\u65b9 Python SDK&#xff0c;\u6570\u636e\u53ef\u76f4\u63a5\u8f93\u51fa\u4e3a Pandas DataFrame&#xff0c;\u4fbf\u4e8e\u540e\u7eed\u6307\u6807\u8ba1\u7b97\u548c\u7b56\u7565\u5f00\u53d1\u3002<\/p>\n<p>&#xff08;5&#xff09;REST API \u652f\u6301<\/p>\n<p>\u63d0\u4f9b REST API \u670d\u52a1&#xff0c;\u652f\u6301 HTTP \u8bf7\u6c42\u65b9\u5f0f\u83b7\u53d6\u6570\u636e\u3002<\/p>\n<h3>6. Python \u5b9e\u6218<\/h3>\n<p>\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u5982\u4f55\u4f7f\u7528 QuantDash Python SDK \u83b7\u53d6\u5206\u949f K \u7ebf\u6570\u636e&#xff1a;<\/p>\n<p><span class=\"token comment\"># \u5b89\u88c5 SDK<\/span><br \/>\n<span class=\"token comment\"># pip install quantdash<\/span><\/p>\n<p><span class=\"token keyword\">import<\/span> os<br \/>\n<span class=\"token keyword\">from<\/span> quantdash <span class=\"token keyword\">import<\/span> QuantDash<\/p>\n<p><span class=\"token comment\"># \u521d\u59cb\u5316\u5ba2\u6237\u7aef&#xff08;\u81ea\u52a8\u8bfb\u53d6 QUANTDASH_API_KEY \u73af\u5883\u53d8\u91cf&#xff09;<\/span><br \/>\nqd <span class=\"token operator\">&#061;<\/span> QuantDash<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u83b7\u53d6\u8d35\u5dde\u8305\u53f0&#xff08;600519.SH&#xff09;\u5f53\u65e5 1 \u5206\u949f K \u7ebf<\/span><br \/>\ndf_1m <span class=\"token operator\">&#061;<\/span> qd<span class=\"token punctuation\">.<\/span>klines<span class=\"token punctuation\">.<\/span>intraday<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;600519.SH&#034;<\/span><span class=\"token punctuation\">,<\/span> to_dataframe<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;1 \u5206\u949f K \u7ebf:&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>df_1m<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;trade_time&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;close&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;volume&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>tail<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u83b7\u53d6 5 \u5206\u949f K \u7ebf<\/span><br \/>\ndf_5m <span class=\"token operator\">&#061;<\/span> qd<span class=\"token punctuation\">.<\/span>klines<span class=\"token punctuation\">.<\/span>intraday<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;600519.SH&#034;<\/span><span class=\"token punctuation\">,<\/span> period<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;5m&#034;<\/span><span class=\"token punctuation\">,<\/span> to_dataframe<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n5 \u5206\u949f K \u7ebf:&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>df_5m<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;trade_time&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;close&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;volume&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>tail<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u83b7\u53d6\u5386\u53f2\u5206\u949f K \u7ebf&#xff08;\u6307\u5b9a\u6570\u91cf\u548c\u5468\u671f&#xff09;<\/span><br \/>\ndf_history <span class=\"token operator\">&#061;<\/span> qd<span class=\"token punctuation\">.<\/span>klines<span class=\"token punctuation\">.<\/span>get<span class=\"token punctuation\">(<\/span><br \/>\n    <span class=\"token string\">&#034;600519.SH&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    period<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;5m&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    count<span class=\"token operator\">&#061;<\/span><span class=\"token number\">100<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    adjust<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;forward&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    to_dataframe<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n\u5386\u53f2 5 \u5206\u949f K \u7ebf&#xff08;\u524d\u590d\u6743&#xff09;:&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>df_history<span class=\"token punctuation\">.<\/span>head<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u4ee3\u7801\u8bf4\u660e&#xff1a;<\/p>\n<ul>\n<li>qd.klines.intraday() \u7528\u4e8e\u83b7\u53d6\u5f53\u65e5\u5206\u949f K \u7ebf&#xff0c;\u9002\u5408\u76d8\u4e2d\u5b9e\u65f6\u76d1\u63a7\u573a\u666f<\/li>\n<li>period \u53c2\u6570\u652f\u6301 1m\u30015m\u300115m\u300130m\u300160m<\/li>\n<li>adjust&#061;&#034;forward&#034; \u542f\u7528\u670d\u52a1\u5668\u7aef\u524d\u590d\u6743&#xff0c;\u65e0\u9700\u672c\u5730\u8ba1\u7b97<\/li>\n<li>to_dataframe&#061;True \u76f4\u63a5\u8fd4\u56de Pandas DataFrame&#xff0c;\u4e0e\u5e38\u89c1\u91cf\u5316\u5206\u6790\u5de5\u5177\u94fe\u65e0\u7f1d\u8854\u63a5<\/li>\n<\/ul>\n<h3>7. \u9002\u7528\u573a\u666f<\/h3>\n<ul>\n<li>\u65e5\u5185 T&#043;0 \u7b56\u7565&#xff1a;\u5229\u7528 1 \u5206\u949f\u6216 5 \u5206\u949f K \u7ebf\u6355\u6349\u65e5\u5185\u56de\u8f6c\u4ea4\u6613\u673a\u4f1a<\/li>\n<li>\u9ad8\u9891\u6307\u6807\u8ba1\u7b97&#xff1a;\u57fa\u4e8e\u5206\u949f K \u7ebf\u8ba1\u7b97 RSI\u3001MACD\u3001\u5e03\u6797\u5e26\u7b49\u65e5\u5185\u6280\u672f\u6307\u6807<\/li>\n<li>\u76d8\u524d\/\u76d8\u4e2d\u9009\u80a1&#xff1a;\u5229\u7528\u5206\u949f\u7ea7\u6570\u636e\u5b9e\u65f6\u626b\u63cf\u5168\u5e02\u573a\u5f02\u52a8<\/li>\n<li>\u7b56\u7565\u56de\u6d4b&#xff1a;\u4f7f\u7528\u5386\u53f2\u5206\u949f K \u7ebf\u9a8c\u8bc1\u65e5\u5185\u7b56\u7565\u7684\u6709\u6548\u6027<\/li>\n<li>\u5b9e\u76d8\u76d1\u63a7&#xff1a;\u5206\u949f\u7ea7\u6570\u636e\u9a71\u52a8\u5b9e\u65f6\u4ea4\u6613\u4fe1\u53f7<\/li>\n<\/ul>\n<h3>8. \u6ce8\u610f\u4e8b\u9879<\/h3>\n<p>&#xff08;1&#xff09;\u533a\u5206 Intraday \u548c Get \u63a5\u53e3<\/p>\n<p>qd.klines.intraday() \u4e3b\u8981\u7528\u4e8e\u83b7\u53d6\u5f53\u65e5\u5206\u949f K \u7ebf&#xff0c;\u9002\u5408\u76d8\u4e2d\u5b9e\u65f6\u573a\u666f&#xff1b;qd.klines.get() \u53ef\u7528\u4e8e\u83b7\u53d6\u5386\u53f2 K \u7ebf&#xff0c;\u9002\u5408\u56de\u6d4b\u573a\u666f\u3002\u4e24\u8005\u5e94\u6839\u636e\u4f7f\u7528\u573a\u666f\u9009\u62e9\u5408\u9002\u7684\u63a5\u53e3\u3002<\/p>\n<p>&#xff08;2&#xff09;\u590d\u6743\u65b9\u5f0f\u7684\u9009\u62e9<\/p>\n<p>\u56de\u6d4b\u65f6\u5e94\u6839\u636e\u7b56\u7565\u903b\u8f91\u9009\u62e9\u5408\u9002\u7684\u590d\u6743\u65b9\u5f0f\u3002\u524d\u590d\u6743&#xff08;forward&#xff09;\u4ee5\u6700\u65b0\u4ef7\u683c\u4e3a\u57fa\u51c6\u8c03\u6574\u5386\u53f2\u4ef7\u683c&#xff0c;\u9002\u5408\u5927\u90e8\u5206\u56de\u6d4b\u573a\u666f\u3002<\/p>\n<p>&#xff08;3&#xff09;API Key \u5b89\u5168<\/p>\n<p>\u4e0d\u8981\u5c06 API Key \u786c\u7f16\u7801\u5728\u4ee3\u7801\u4e2d&#xff0c;\u5e94\u4f7f\u7528\u73af\u5883\u53d8\u91cf QUANTDASH_API_KEY \u6216\u914d\u7f6e\u6587\u4ef6\u7ba1\u7406\u3002<\/p>\n<p>&#xff08;4&#xff09;\u6570\u636e\u9891\u7387\u4e0e\u7b56\u7565\u9891\u7387\u5339\u914d<\/p>\n<p>\u5206\u949f K \u7ebf\u7684\u9891\u7387\u5e94\u5339\u914d\u7b56\u7565\u7684\u4ea4\u6613\u9891\u7387\u30021 \u5206\u949f K \u7ebf\u9002\u5408\u9ad8\u9891\u7b56\u7565&#xff0c;5 \u5206\u949f\u6216 15 \u5206\u949f K \u7ebf\u9002\u5408\u4e2d\u9891\u65e5\u5185\u7b56\u7565\u3002<\/p>\n<h3>9. FAQ<\/h3>\n<h4>Q1&#xff1a;\u5206\u949f K \u7ebf\u548c\u65e5 K \u7ebf\u5728\u91cf\u5316\u7b56\u7565\u4e2d\u6709\u4ec0\u4e48\u533a\u522b&#xff1f;<\/h4>\n<p>A&#xff1a;\u65e5 K \u7ebf\u7528\u4e8e\u6355\u6349\u8de8\u65e5\u8d8b\u52bf\u548c\u6ce2\u6bb5\u4ea4\u6613\u4fe1\u53f7&#xff0c;\u9002\u5408\u4e2d\u957f\u7ebf\u7b56\u7565\u3002\u5206\u949f K \u7ebf\u7528\u4e8e\u6355\u6349\u65e5\u5185\u4ef7\u683c\u6ce2\u52a8&#xff0c;\u9002\u5408 T&#043;0\u3001\u9ad8\u9891\u5957\u5229\u3001\u76d8\u53e3\u7b56\u7565\u7b49\u65e5\u5185\u4ea4\u6613\u7b56\u7565\u3002\u5206\u949f K \u7ebf\u80fd\u63d0\u4f9b\u66f4\u7cbe\u7ec6\u7684\u4ef7\u683c\u4fe1\u606f&#xff0c;\u4f46\u5bf9\u6570\u636e\u8d28\u91cf\u7684\u8981\u6c42\u4e5f\u66f4\u9ad8\u3002<\/p>\n<h4>Q2&#xff1a;\u91cf\u5316\u4ea4\u6613\u4e3a\u4ec0\u4e48\u9700\u8981\u5206\u949f\u7ea7\u6570\u636e&#xff1f;<\/h4>\n<p>A&#xff1a;\u5206\u949f\u7ea7\u6570\u636e\u80fd\u591f\u6355\u6349\u65e5\u5185\u7684\u4ef7\u683c\u6ce2\u52a8\u3001\u6210\u4ea4\u91cf\u548c\u76d8\u53e3\u53d8\u5316&#xff0c;\u662f\u8ba1\u7b97\u9ad8\u9891\u6280\u672f\u6307\u6807&#xff08;\u5982\u65e5\u5185 RSI\u3001MACD&#xff09;\u3001\u8bc6\u522b\u76d8\u4e2d\u7a81\u7834\u4fe1\u53f7\u548c\u6267\u884c T&#043;0 \u56de\u8f6c\u4ea4\u6613\u7684\u57fa\u7840\u3002\u6ca1\u6709\u5206\u949f\u7ea7\u6570\u636e&#xff0c;\u65e5\u5185\u7b56\u7565\u5c06\u65e0\u6cd5\u8fd0\u884c\u3002<\/p>\n<h4>Q3&#xff1a;QuantDash \u652f\u6301\u54ea\u4e9b\u5206\u949f\u7684 K \u7ebf\u5468\u671f&#xff1f;<\/h4>\n<p>A&#xff1a;QuantDash \u652f\u6301 A \u80a1\u7684 1 \u5206\u949f\u30015 \u5206\u949f\u300115 \u5206\u949f\u300130 \u5206\u949f\u548c 60 \u5206\u949f K \u7ebf\u3002<\/p>\n<h4>Q4&#xff1a;QuantDash \u7684\u5206\u949f K \u7ebf\u652f\u6301\u590d\u6743\u5417&#xff1f;<\/h4>\n<p>A&#xff1a;\u652f\u6301\u3002QuantDash \u63d0\u4f9b\u524d\u590d\u6743&#xff08;forward&#xff09;\u3001\u540e\u590d\u6743&#xff08;backward&#xff09;\u3001\u4e0d\u590d\u6743&#xff08;none&#xff09;\u548c\u52a0\u6cd5\u590d\u6743&#xff08;forward_additive \/ backward_additive&#xff09;\u3002<\/p>\n<h4>Q5&#xff1a;QuantDash \u6709\u6ca1\u6709 Python SDK&#xff1f;<\/h4>\n<p>A&#xff1a;\u6709\u3002QuantDash \u63d0\u4f9b\u5b98\u65b9 Python SDK&#xff0c;\u53ef\u901a\u8fc7 pip install quantdash \u5b89\u88c5\u3002SDK \u652f\u6301 Python 3.9 \u53ca\u4ee5\u4e0a\u7248\u672c\u3002<\/p>\n<h3>10. \u603b\u7ed3<\/h3>\n<ul>\n<li>\u5206\u949f K 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