{"id":6078,"date":"2025-06-03T15:09:07","date_gmt":"2025-06-04T07:48:06","guid":{"rendered":"https:\/\/badgameshow.com\/steven\/?p=6078"},"modified":"2025-06-04T15:09:07","modified_gmt":"2025-06-04T07:48:06","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%93keltnerchannel%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%93keltnerchannel%e4%ba%a4%e6%98%93%e6%8c%87%e6%a8%99\/","title":{"rendered":"\u4f7f\u7528 Python \u5be6\u73fe\u5361\u7279\u83ab\u723e\u901a\u9053 (Keltner Channel) \u4ea4\u6613\u6307\u6a19\u7684\u6700\u65b0\u6307\u5357"},"content":{"rendered":"

<\/p>\n

\u4f7f\u7528 Python \u5be6\u73fe\u5361\u7279\u83ab\u723e\u901a\u9053 (Keltner Channel) \u4ea4\u6613\u6307\u6a19\u7684\u6700\u65b0\u6307\u5357<\/h1>\n

\u5361\u7279\u83ab\u723e\u901a\u9053 (Keltner Channel) \u662f\u4e00\u7a2e\u88ab\u5ee3\u6cdb\u4f7f\u7528\u7684\u6280\u8853\u6307\u6a19\uff0c\u80fd\u5e6b\u52a9\u6295\u8cc7\u8005\u5224\u65b7\u80a1\u7968\u50f9\u683c\u7684\u8da8\u52e2\u4e26\u63d0\u4f9b\u8cb7\u8ce3\u4fe1\u865f\u3002\u9019\u4e00\u6307\u6a19\u57fa\u65bc\u5e73\u5747\u50f9\u683c\u548c\u6ce2\u52d5\u6027\uff0c\u80fd\u6709\u6548\u5354\u52a9\u4ea4\u6613\u8005\u5236\u5b9a\u7b56\u7565\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u5361\u7279\u83ab\u723e\u901a\u9053\u7684\u4f7f\u7528\u60c5\u5883\uff0c\u4e26\u63d0\u4f9b**2025 \u6700\u65b0\u8a9e\u6cd5\u8207\u6700\u4f73\u5be6\u8e10**\u4f86\u4f7f\u7528 Python \u5be6\u73fe\u9019\u4e00\u6307\u6a19\u3002<\/p>\n

\u4ec0\u9ebc\u662f\u5361\u7279\u83ab\u723e\u901a\u9053\uff1f<\/h2>\n

\u5361\u7279\u83ab\u723e\u901a\u9053\u7531\u7f8e\u570b\u6295\u8cc7\u9867\u554f Donchian \u65bc 1960 \u5e74\u4ee3\u63d0\u51fa\uff0c\u7d50\u5408\u4e86\u6307\u6578\u79fb\u52d5\u5e73\u5747\u7dda (EMA) \u548c\u5e73\u5747\u771f\u5be6\u7bc4\u570d (ATR) \u7684\u6982\u5ff5\uff0c\u5f62\u6210\u4e86\u4e2d\u9593\u7dda\uff08\u5747\u7dda\uff09\u548c\u5169\u689d\u5916\u570d\u7dda\uff08\u4e0a\u9650\u7dda\u548c\u4e0b\u9650\u7dda\uff09\u3002\u9019\u4f7f\u5f97\u6295\u8cc7\u8005\u80fd\u5920\u66f4\u6e05\u6670\u5730\u770b\u51fa\u80a1\u7968\u50f9\u683c\u7684\u904b\u884c\u7bc4\u570d\u4ee5\u53ca\u6f5b\u5728\u7684\u53cd\u8f49\u9ede\u3002<\/p>\n

\u5361\u7279\u83ab\u723e\u901a\u9053\u7684\u4f7f\u7528\u6642\u6a5f<\/h2>\n

\u5361\u7279\u83ab\u723e\u901a\u9053\u63d0\u4f9b\u4ee5\u4e0b\u5e7e\u7a2e\u4ea4\u6613\u4fe1\u865f\uff1a<\/p>\n

1. **\u8cb7\u5165\u4fe1\u865f**\uff1a\u7576\u50f9\u683c\u8dcc\u7834\u4e0b\u9650\u7dda\u6642\uff0c\u53ef\u80fd\u8868\u660e\u80a1\u7968\u50f9\u683c\u5c07\u4e0a\u6f32\uff0c\u8a72\u6642\u53ef\u4ee5\u8003\u616e\u9032\u5834\u3002
\n2. **\u8ce3\u51fa\u4fe1\u865f**\uff1a\u7576\u50f9\u683c\u7a81\u7834\u4e0a\u9650\u7dda\u6642\uff0c\u53ef\u80fd\u8868\u660e\u80a1\u7968\u50f9\u683c\u5c07\u4e0b\u8dcc\uff0c\u6b64\u6642\u53ef\u4ee5\u8003\u616e\u51fa\u5834\u3002
\n3. **\u8da8\u52e2\u78ba\u8a8d**\uff1a\u82e5\u50f9\u683c\u5728\u901a\u9053\u5167\u904b\u884c\uff0c\u5247\u53ef\u5224\u65b7\u7576\u524d\u70ba\u76e4\u6574\u968e\u6bb5\uff0c\u9700\u8b39\u614e\u64cd\u4f5c\u3002<\/p>\n

\u5982\u4f55\u4f7f\u7528 Python \u4f86\u5be6\u73fe\u5361\u7279\u83ab\u723e\u901a\u9053\uff1f<\/h2>\n

\u4f7f\u7528 Python \u4f86\u8a08\u7b97\u5361\u7279\u83ab\u723e\u901a\u9053\u975e\u5e38\u7c21\u55ae\u3002\u4ee5\u4e0b\u7bc4\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u904b\u7528 `TA-Lib` \u5eab\u5be6\u73fe\u5361\u7279\u83ab\u723e\u901a\u9053\uff1a<\/p>\n

“`python
\nimport numpy as np
\nimport pandas as pd
\nimport talib<\/p>\n

# \u6a21\u64ec\u80a1\u7968\u6578\u64da
\ndata = {
\n ‘high’: [10, 11, 12, 13, 15, 14, 13, 12],
\n ‘low’: [9, 8, 8, 10, 11, 10, 9, 8],
\n ‘close’: [9.5, 10.5, 11.5, 12.5, 14.5, 13.5, 11.5, 10.5]\n}<\/p>\n

# \u5c07\u6578\u64da\u8f49\u63db\u70ba DataFrame
\ndf = pd.DataFrame(data)<\/p>\n

# \u8a08\u7b97\u5361\u7279\u83ab\u723e\u901a\u9053
\nupper, middle, lower = talib.KELTNER(df[‘high’], df[‘low’], df[‘close’], timeperiod=20)<\/p>\n

# \u8f38\u51fa\u7d50\u679c
\nprint(“\u4e0a\u9650\u7dda:”, upper)
\nprint(“\u4e2d\u9593\u7dda:”, middle)
\nprint(“\u4e0b\u9650\u7dda:”, lower)
\n“`<\/p>\n

\u5728\u9019\u6bb5\u7a0b\u5f0f\u78bc\u4e2d\uff0c\u6211\u5011\u6a21\u64ec\u4e86\u4e00\u7d44\u80a1\u7968\u6578\u64da\uff0c\u4e26\u4f7f\u7528 `talib` \u5eab\u4e2d\u7684 `KELTNER` \u51fd\u6578\u4f86\u8a08\u7b97\u5361\u7279\u83ab\u723e\u901a\u9053\u7684\u4e0a\u9650\u7dda\u3001\u4e2d\u9593\u7dda\u548c\u4e0b\u9650\u7dda\u3002\u8acb\u78ba\u4fdd\u5728\u904b\u884c\u6b64\u4ee3\u78bc\u524d\u5df2\u5b89\u88dd `TA-Lib`\u3002<\/p>\n

\u932f\u8aa4\u6392\u9664\u8207\u6700\u4f73\u5be6\u8e10<\/h2>\n

– **\u6578\u64da\u683c\u5f0f**\uff1a\u78ba\u4fdd `high`\u3001`low` \u548c `close` \u6578\u64da\u5747\u70ba\u6578\u5b57\u683c\u5f0f\uff0c\u5426\u5247\u53ef\u80fd\u5c0e\u81f4\u8a08\u7b97\u932f\u8aa4\u3002
\n– **\u6642\u9593\u7a97\u53e3\u8abf\u6574**\uff1a\u6839\u64da\u4e0d\u540c\u7684\u5e02\u5834\u548c\u4ea4\u6613\u7b56\u7565\uff0c\u8abf\u6574 `timeperiod` \u53c3\u6578\u4ee5\u7372\u5f97\u6700\u4f73\u7d50\u679c\u3002
\n– **\u6578\u64da\u5b8c\u6574\u6027**\uff1a\u5728\u8a08\u7b97\u524d\uff0c\u78ba\u8a8d\u6578\u64da\u96c6\u7684\u5b8c\u6574\u6027\uff0c\u7f3a\u5931\u503c\u53ef\u80fd\u5f71\u97ff\u6307\u6a19\u7684\u6e96\u78ba\u6027\u3002<\/p>\n

\u5ef6\u4f38\u61c9\u7528<\/h2>\n

\u5361\u7279\u83ab\u723e\u901a\u9053\u4e0d\u50c5\u53ef\u4ee5\u7528\u65bc\u80a1\u7968\u4ea4\u6613\uff0c\u9084\u53ef\u4ee5\u61c9\u7528\u65bc\u5176\u4ed6\u8cc7\u7522\u985e\u5225\uff0c\u5982\u5916\u532f\u548c\u5546\u54c1\u4ea4\u6613\u3002\u7d50\u5408\u5176\u4ed6\u6280\u8853\u6307\u6a19\uff0c\u5982\u76f8\u5c0d\u5f37\u5f31\u6307\u6a19 (RSI) \u6216\u79fb\u52d5\u5e73\u5747\u6536\u6582\u767c\u6563\u6307\u6a19 (MACD)\uff0c\u53ef\u9032\u4e00\u6b65\u63d0\u5347\u4ea4\u6613\u7b56\u7565\u7684\u6709\u6548\u6027\u3002<\/p>\n

\u6b32\u4e86\u89e3\u66f4\u591a\u95dc\u65bc Python \u7684\u6280\u8853\u5206\u6790\u5de5\u5177\uff0c\u8acb\u53c3\u8003[\u9019\u7bc7\u6587\u7ae0](https:\/\/vocus.cc\/article\/60c7d8c2fd89780006ddc4f4)\u4ee5\u7372\u53d6\u9032\u4e00\u6b65\u7684\u5b78\u7fd2\u8cc7\u6e90\u3002<\/p>\n

\u7d50\u8ad6<\/h2>\n

\u5361\u7279\u83ab\u723e\u901a\u9053 (Keltner Channel) \u662f\u4e00\u9805\u5f37\u5927\u7684\u6280\u8853\u5206\u6790\u5de5\u5177\uff0c\u80fd\u5e6b\u52a9\u6295\u8cc7\u8005\u505a\u51fa\u66f4\u660e\u667a\u7684\u4ea4\u6613\u6c7a\u7b56\u3002\u901a\u904e Python \u5be6\u73fe\u9019\u4e00\u6307\u6a19\u4e0d\u50c5\u7c21\u55ae\uff0c\u9084\u80fd\u63d0\u9ad8\u4ea4\u6613\u7b56\u7565\u7684\u6e96\u78ba\u6027\u3002<\/p>\n

Q&A\uff08\u5e38\u898b\u554f\u984c\u89e3\u7b54\uff09<\/h2>\n

**Q1: \u5361\u7279\u83ab\u723e\u901a\u9053\u5982\u4f55\u8207\u5176\u4ed6\u6307\u6a19\u7d50\u5408\u4f7f\u7528\uff1f**
\nA1: \u7d50\u5408 RSI \u6216 MACD \u7b49\u6307\u6a19\u80fd\u66f4\u5168\u9762\u5730\u5206\u6790\u5e02\u5834\u8da8\u52e2\uff0c\u63d0\u4f9b\u66f4\u7a69\u5065\u7684\u4ea4\u6613\u4fe1\u865f\u3002<\/p>\n

**Q2: \u5728\u4f7f\u7528\u5361\u7279\u83ab\u723e\u901a\u9053\u6642\uff0c\u6709\u54ea\u4e9b\u5e38\u898b\u7684\u9677\u9631\uff1f**
\nA2: \u5e38\u898b\u7684\u9677\u9631\u5305\u62ec\u5ffd\u8996\u5e02\u5834\u7684\u6ce2\u52d5\u6027\u548c\u904e\u5ea6\u4f9d\u8cf4\u55ae\u4e00\u6307\u6a19\uff0c\u5efa\u8b70\u7d9c\u5408\u8003\u91cf\u591a\u65b9\u9762\u7684\u6578\u64da\u3002<\/p>\n

**Q3: \u5982\u4f55\u9078\u64c7\u5408\u9069\u7684\u6642\u9593\u7a97\u53e3\uff1f**
\nA3: \u6642\u9593\u7a97\u53e3\u61c9\u6839\u64da\u4ea4\u6613\u7b56\u7565\u548c\u5e02\u5834\u60c5\u6cc1\u9032\u884c\u8abf\u6574\uff0c\u77ed\u671f\u4ea4\u6613\u8005\u53ef\u9078\u64c7\u8f03\u77ed\u7684\u6642\u9593\u7a97\u53e3\uff0c\u9577\u671f\u4ea4\u6613\u8005\u5247\u53ef\u9078\u64c7\u8f03\u9577\u7684\u6642\u9593\u7a97\u53e3\u3002<\/p>\n

—<\/p>\n","protected":false},"excerpt":{"rendered":"

\u6587\u7ae0\u6458\u8981\uff1a\u5361\u7279\u83ab\u723e\u901a\u9053(KeltnerChannel)\u662f\u4e00\u7a2e\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\u591a\u7684\u4ea4\u6613\u6a5f\u6703\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u5982\u4f55\u4f7f\u7528Python\u4f86\u5206\u6790KeltnerChannel\uff0c\u4ee5\u53ca\u5982\u4f55\u5229\u7528\u5b83\u4f86\u66f4\u597d\u5730\u4ea4\u6613\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-6078","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\/pcFK27-1A2","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6078","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=6078"}],"version-history":[{"count":1,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6078\/revisions"}],"predecessor-version":[{"id":6079,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6078\/revisions\/6079"}],"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=6078"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/categories?post=6078"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/tags?post=6078"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}