{"id":6286,"date":"2025-05-28T14:33:52","date_gmt":"2025-06-04T07:02:52","guid":{"rendered":"https:\/\/badgameshow.com\/steven\/?p=6286"},"modified":"2025-06-04T14:33:52","modified_gmt":"2025-06-04T07:02:52","slug":"%e5%ad%b8%e7%bf%92%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8%e5%8d%a1%e7%89%b9%e8%8e%ab%e7%88%be%e9%80%9a%e9%81%93%e9%80%9a%e9%81%93keltnerchannelchannel%e4%ba%a4%e6%98%93%e6%8c%87%e6%a8%99","status":"publish","type":"post","link":"https:\/\/badgameshow.com\/steven\/python\/%e5%ad%b8%e7%bf%92%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8%e5%8d%a1%e7%89%b9%e8%8e%ab%e7%88%be%e9%80%9a%e9%81%93%e9%80%9a%e9%81%93keltnerchannelchannel%e4%ba%a4%e6%98%93%e6%8c%87%e6%a8%99\/","title":{"rendered":"\u5b78\u7fd2\u5982\u4f55\u5229\u7528 Keltner Channel \u4ea4\u6613\u6307\u6a19\u63d0\u5347\u6295\u8cc7\u6536\u76ca &#8211; Python \u5be6\u4f5c\u7bc4\u4f8b"},"content":{"rendered":"<p><meta name=\"keywords\" content=\"Python, Keltner Channel, \u4ea4\u6613\u6307\u6a19, \u4f7f\u7528\u6642\u6a5f, \u6295\u8cc7\u6536\u76ca, \u80a1\u7968\u5206\u6790\"><\/p>\n<h1>Keltner Channel \u4ea4\u6613\u6307\u6a19\u4f7f\u7528\u6642\u6a5f\u4ee5\u53ca Python \u7bc4\u4f8b<\/h1>\n<p>Keltner Channel \u662f\u4e00\u7a2e\u88ab\u5ee3\u6cdb\u4f7f\u7528\u7684\u4ea4\u6613\u6307\u6a19\uff0c\u5b83\u5e6b\u52a9\u6295\u8cc7\u8005\u66f4\u597d\u5730\u5224\u65b7\u80a1\u7968\u50f9\u683c\u7684\u8da8\u52e2\uff0c\u4e26\u63d0\u4f9b\u66f4\u591a\u7684\u4ea4\u6613\u6a5f\u6703\u3002\u672c\u6587\u5c07\u4ecb\u7d39 Keltner Channel \u7684\u4f7f\u7528\u6642\u6a5f\u3001\u6700\u4f73\u5be6\u8e10\uff0c\u4ee5\u53ca\u4e00\u500b\u5b8c\u6574\u7684 Python \u5be6\u4f5c\u7bc4\u4f8b\uff0c\u8b93\u6295\u8cc7\u8005\u80fd\u5920\u6709\u6548\u5229\u7528 Keltner Channel \u63d0\u5347\u6295\u8cc7\u6536\u76ca\u3002<\/p>\n<p><!--more--><\/p>\n<p>## Keltner Channel \u7684\u57fa\u672c\u6982\u5ff5<\/p>\n<p>Keltner Channel \u662f\u57fa\u65bc\u5747\u7dda\u7684\u6280\u8853\u6307\u6a19\uff0c\u7531\u4e09\u689d\u7dda\u7d44\u6210\uff1a\u4e2d\u7dda\u3001\u4e0a\u7dda\u548c\u4e0b\u7dda\u3002\u4e2d\u7dda\u901a\u5e38\u70ba 20 \u65e5\u5747\u7dda\uff0c\u800c\u4e0a\u7dda\u548c\u4e0b\u7dda\u5247\u5206\u5225\u662f\u4e2d\u7dda\u7684\u4e0a\u4e0b 1.5 \u500d ATR\uff08Average True Range\uff09\u3002ATR \u662f\u4e00\u7a2e\u8861\u91cf\u50f9\u683c\u6ce2\u52d5\u6027\u7684\u91cd\u8981\u6307\u6a19\u3002<\/p>\n<p>### \u4f7f\u7528\u6642\u6a5f<\/p>\n<p>&#8211; **\u8da8\u52e2\u5224\u65b7**\uff1a\u7576\u80a1\u7968\u50f9\u683c\u4e0a\u6f32\u6642\uff0c\u4e0a\u7dda\u6703\u9010\u6f38\u4e0a\u5347\uff1b\u7576\u80a1\u7968\u50f9\u683c\u4e0b\u8dcc\u6642\uff0c\u4e0b\u7dda\u6703\u9010\u6f38\u4e0b\u964d\u3002\u6295\u8cc7\u8005\u53ef\u4ee5\u5229\u7528\u9019\u4e9b\u8b8a\u5316\u4f86\u5224\u65b7\u5e02\u5834\u7684\u8da8\u52e2\u3002<br \/>\n&#8211; **\u4ea4\u6613\u6a5f\u6703**\uff1a\u7576\u50f9\u683c\u8d85\u904e Keltner Channel \u7684\u4e0a\u7dda\u6642\uff0c\u53ef\u80fd\u5b58\u5728\u505a\u7a7a\u7684\u6a5f\u6703\uff1b\u53cd\u4e4b\uff0c\u7576\u50f9\u683c\u8dcc\u7834\u4e0b\u7dda\u6642\uff0c\u5247\u53ef\u80fd\u662f\u505a\u591a\u7684\u4fe1\u865f\u3002<\/p>\n<p>### Python \u5be6\u4f5c\u7bc4\u4f8b<\/p>\n<p>\u4e0b\u9762\u662f\u4e00\u500b\u4f7f\u7528 Python \u8a08\u7b97 Keltner Channel \u7684\u5b8c\u6574\u7bc4\u4f8b\uff1a<\/p>\n<p>&#8220;`python<br \/>\nimport pandas as pd<br \/>\nimport numpy as np<br \/>\nimport matplotlib.pyplot as plt<\/p>\n<p># \u8b80\u53d6\u80a1\u7968\u50f9\u683c\u8cc7\u6599<br \/>\ndf = pd.read_csv(&#8216;stock_price.csv&#8217;)<\/p>\n<p># \u8a08\u7b97 20 \u65e5\u5747\u7dda<br \/>\ndf[&#8216;ma20&#8217;] = df[&#8216;close&#8217;].rolling(window=20).mean()<\/p>\n<p># \u8a08\u7b97 ATR<br \/>\ndf[&#8216;high_low&#8217;] = df[&#8216;high&#8217;] &#8211; df[&#8216;low&#8217;]\ndf[&#8216;high_close&#8217;] = np.abs(df[&#8216;high&#8217;] &#8211; df[&#8216;close&#8217;].shift(1))<br \/>\ndf[&#8216;low_close&#8217;] = np.abs(df[&#8216;low&#8217;] &#8211; df[&#8216;close&#8217;].shift(1))<br \/>\ndf[&#8216;tr&#8217;] = df[[&#8216;high_low&#8217;, &#8216;high_close&#8217;, &#8216;low_close&#8217;]].max(axis=1)<br \/>\ndf[&#8216;atr&#8217;] = df[&#8216;tr&#8217;].rolling(window=20).mean()<\/p>\n<p># \u8a08\u7b97 Keltner Channel<br \/>\ndf[&#8216;upper&#8217;] = df[&#8216;ma20&#8217;] + (df[&#8216;atr&#8217;] * 1.5)<br \/>\ndf[&#8216;lower&#8217;] = df[&#8216;ma20&#8217;] &#8211; (df[&#8216;atr&#8217;] * 1.5)<\/p>\n<p># \u7e6a\u88fd Keltner Channel \u5716<br \/>\nplt.figure(figsize=(10, 6))<br \/>\nplt.plot(df[&#8216;close&#8217;], label=&#8217;Close Price&#8217;, color=&#8217;blue&#8217;)<br \/>\nplt.plot(df[&#8216;ma20&#8242;], label=&#8217;20-Day MA&#8217;, color=&#8217;orange&#8217;)<br \/>\nplt.plot(df[&#8216;upper&#8217;], label=&#8217;Upper Channel&#8217;, color=&#8217;red&#8217;)<br \/>\nplt.plot(df[&#8216;lower&#8217;], label=&#8217;Lower Channel&#8217;, color=&#8217;green&#8217;)<br \/>\nplt.title(&#8216;Keltner Channel&#8217;)<br \/>\nplt.legend()<br \/>\nplt.show()<br \/>\n&#8220;`<\/p>\n<p>### \u932f\u8aa4\u6392\u9664<\/p>\n<p>1. **\u8cc7\u6599\u683c\u5f0f\u932f\u8aa4**\uff1a\u78ba\u4fdd CSV \u6a94\u6848\u4e2d\u5305\u542b\u5fc5\u8981\u7684\u5217\uff08&#8217;close&#8217;, &#8216;high&#8217;, &#8216;low&#8217;\uff09\u3002<br \/>\n2. **NaN \u503c**\uff1a\u5728\u8a08\u7b97\u5747\u7dda\u548c ATR \u6642\uff0c\u521d\u59cb\u5e7e\u500b\u503c\u53ef\u80fd\u70ba NaN\uff0c\u53ef\u4ee5\u8003\u616e\u4f7f\u7528 `dropna()` \u65b9\u6cd5\u4f86\u6e05\u7406\u8cc7\u6599\u3002<\/p>\n<p>### \u5ef6\u4f38\u61c9\u7528<\/p>\n<p>Keltner Channel \u53ef\u4ee5\u8207\u5176\u4ed6\u6307\u6a19\uff08\u5982 RSI \u6216 MACD\uff09\u7d50\u5408\u4f7f\u7528\uff0c\u4ee5\u63d0\u9ad8\u4ea4\u6613\u7b56\u7565\u7684\u6709\u6548\u6027\u3002\u9019\u6a23\u53ef\u4ee5\u589e\u52a0\u5224\u65b7\u7684\u6e96\u78ba\u6027\uff0c\u964d\u4f4e\u98a8\u96aa\u3002<\/p>\n<p>\u7e3d\u7d50\u4f86\u8aaa\uff0cKeltner Channel \u662f\u4e00\u7a2e\u975e\u5e38\u6709\u6548\u7684\u4ea4\u6613\u6307\u6a19\uff0c\u80fd\u5354\u52a9\u6295\u8cc7\u8005\u5728\u6ce2\u52d5\u7684\u5e02\u5834\u4e2d\u505a\u51fa\u66f4\u660e\u667a\u7684\u6c7a\u7b56\u3002\u6295\u8cc7\u8005\u53ef\u4ee5\u5229\u7528 Python \u4f86\u8a08\u7b97 Keltner Channel\uff0c\u4e26\u6839\u64da\u5e02\u5834\u8da8\u52e2\u8abf\u6574\u4ea4\u6613\u7b56\u7565\u3002<\/p>\n<p>\u5982\u9700\u9032\u4e00\u6b65\u4e86\u89e3 Python \u5728\u91d1\u878d\u5206\u6790\u4e2d\u7684\u61c9\u7528\uff0c\u8acb\u53c3\u8003 [\u9019\u7bc7\u6559\u5b78\u6587\u7ae0](https:\/\/vocus.cc\/article\/605e7d2f6f1c8c001c15a4e5)\u3002<\/p>\n<p>## Q&#038;A\uff08\u5e38\u898b\u554f\u984c\u89e3\u7b54\uff09<\/p>\n<p>### Q1: Keltner Channel \u8207 Bollinger Bands \u6709\u4f55\u4e0d\u540c\uff1f<br \/>\nA1: Keltner Channel \u662f\u57fa\u65bc ATR \u7684\uff0c\u800c Bollinger Bands \u5247\u662f\u57fa\u65bc\u6a19\u6e96\u5dee\u3002\u9019\u4f7f\u5f97 Keltner Channel \u66f4\u52a0\u5e73\u6ed1\uff0c\u9069\u5408\u7528\u65bc\u8da8\u52e2\u5224\u65b7\u3002<\/p>\n<p>### Q2: \u5982\u4f55\u9078\u64c7 ATR \u7684\u500d\u6578\uff1f<br \/>\nA2: \u901a\u5e38\uff0c\u4f7f\u7528 1.5 \u500d ATR \u662f\u4e00\u500b\u826f\u597d\u7684\u8d77\u9ede\uff0c\u4f46\u6839\u64da\u5e02\u5834\u6ce2\u52d5\u6027\uff0c\u53ef\u4ee5\u8abf\u6574\u6b64\u6578\u503c\u4ee5\u9069\u61c9\u4e0d\u540c\u7684\u5e02\u5834\u74b0\u5883\u3002<\/p>\n<p>### Q3: Keltner Channel \u9069\u5408\u6240\u6709\u80a1\u7968\u55ce\uff1f<br \/>\nA3: Keltner Channel \u53ef\u4ee5\u61c9\u7528\u65bc\u4efb\u4f55\u6d41\u52d5\u6027\u8f03\u597d\u7684\u80a1\u7968\uff0c\u4f46\u5728\u4f4e\u6ce2\u52d5\u6027\u6216\u4f4e\u6210\u4ea4\u91cf\u7684\u5e02\u5834\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u8b39\u614e\u4f7f\u7528\u3002<\/p>\n<p>&#8212;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6458\u8981\uff1a\u5361\u7279\u83ab\u723e\u901a\u9053\u901a\u9053(KeltnerChannelChannel)\u662f\u4e00\u7a2e\u5e38\u7528\u7684\u4ea4\u6613\u6307\u6a19\uff0c\u53ef\u4ee5\u5e6b\u52a9\u6295\u8cc7\u8005\u66f4\u597d\u5730\u5206\u6790\u5e02\u5834\u8da8\u52e2\uff0c\u4e26\u63d0\u4f9b\u66f4\u597d\u7684\u4ea4\u6613\u6a5f\u6703\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u5982\u4f55\u4f7f\u7528Python\u4f86\u5206\u6790KeltnerChannelChannel\uff0c\u4e26\u63d0\u4f9b\u4e00\u4e9b\u7bc4\u4f8b\u4f86\u89e3\u91cb\u5982\u4f55\u4f7f\u7528\u5b83\u4f86\u63d0\u9ad8\u6295\u8cc7\u6536\u76ca\u3002<\/p>\n","protected":false},"author":1,"featured_media":2518,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[18,189],"tags":[15,188],"class_list":["post-6286","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-189","tag-python","tag-188"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/badgameshow.com\/steven\/wp-content\/uploads\/2022\/12\/DALL\u00b7E-2022-12-28-14.25.55-\u62f7\u8c9d2.png","jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pcFK27-1Do","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6286","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/comments?post=6286"}],"version-history":[{"count":1,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6286\/revisions"}],"predecessor-version":[{"id":6287,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6286\/revisions\/6287"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/media\/2518"}],"wp:attachment":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/media?parent=6286"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/categories?post=6286"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/tags?post=6286"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}