{"id":6240,"date":"2025-06-02T14:37:16","date_gmt":"2025-06-04T07:05:15","guid":{"rendered":"https:\/\/badgameshow.com\/steven\/?p=6240"},"modified":"2025-06-04T14:37:16","modified_gmt":"2025-06-04T07:05:15","slug":"%e4%ba%86%e8%a7%a3%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8%e7%a7%bb%e5%8b%95%e5%b9%b3%e5%9d%87%e9%80%9a%e9%81%93movingaveragechannel%e4%ba%a4%e6%98%93%e6%8c%87%e6%a8%99%e5%8f%8apython%e7%af%84%e4%be%8b","status":"publish","type":"post","link":"https:\/\/badgameshow.com\/steven\/python\/%e4%ba%86%e8%a7%a3%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8%e7%a7%bb%e5%8b%95%e5%b9%b3%e5%9d%87%e9%80%9a%e9%81%93movingaveragechannel%e4%ba%a4%e6%98%93%e6%8c%87%e6%a8%99%e5%8f%8apython%e7%af%84%e4%be%8b\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 Python \u7e6a\u88fd\u79fb\u52d5\u5e73\u5747\u901a\u9053 (Moving Average Channel) \u4ea4\u6613\u6307\u6a19\uff1a2025 \u6700\u65b0\u5be6\u4f5c\u8207\u6700\u4f73\u5be6\u8e10"},"content":{"rendered":"

<\/p>\n

\u5982\u4f55\u4f7f\u7528 Python \u7e6a\u88fd\u79fb\u52d5\u5e73\u5747\u901a\u9053 (Moving Average Channel) \u4ea4\u6613\u6307\u6a19\uff1a2025 \u6700\u65b0\u5be6\u4f5c\u8207\u6700\u4f73\u5be6\u8e10<\/h1>\n

\u79fb\u52d5\u5e73\u5747\u901a\u9053 (Moving Average Channel) \u662f\u4e00\u7a2e\u5ee3\u6cdb\u61c9\u7528\u65bc\u6280\u8853\u5206\u6790\u7684\u4ea4\u6613\u6307\u6a19\uff0c\u80fd\u5920\u5e6b\u52a9\u6295\u8cc7\u8005\u5224\u65b7\u80a1\u7968\u50f9\u683c\u7684\u8da8\u52e2\uff0c\u4e26\u63d0\u4f9b\u66f4\u591a\u4ea4\u6613\u6a5f\u6703\u3002\u672c\u6587\u5c07\u6df1\u5165\u63a2\u8a0e\u79fb\u52d5\u5e73\u5747\u901a\u9053\u7684\u6982\u5ff5\u3001\u4f7f\u7528\u6642\u6a5f\u3001Python \u5be6\u4f5c\u7bc4\u4f8b\u4ee5\u53ca\u5e38\u898b\u554f\u984c\uff0c\u5e6b\u52a9\u6295\u8cc7\u8005\u6709\u6548\u5229\u7528\u9019\u500b\u6307\u6a19\u9032\u884c\u6295\u8cc7\u6c7a\u7b56\u3002<\/p>\n

\u79fb\u52d5\u5e73\u5747\u901a\u9053 (Moving Average Channel) \u662f\u4ec0\u9ebc\uff1f<\/h2>\n

\u79fb\u52d5\u5e73\u5747\u901a\u9053 (Moving Average Channel) \u662f\u4e00\u7a2e\u6280\u8853\u5206\u6790\u5de5\u5177\uff0c\u57fa\u65bc\u79fb\u52d5\u5e73\u5747\u7dda\u7684\u7406\u5ff5\uff0c\u5c07\u50f9\u683c\u7684\u79fb\u52d5\u5e73\u5747\u4e0a\u4e0b\u5404\u52a0\u4e0a\u5169\u689d\u9644\u52a0\u7684\u6a19\u6e96\u5dee\u7dda\uff0c\u5f62\u6210\u4e00\u500b\u901a\u9053\u3002\u9019\u500b\u901a\u9053\u7684\u4e0a\u7dda\u548c\u4e0b\u7dda\u5206\u5225\u53cd\u6620\u4e86\u80a1\u7968\u50f9\u683c\u7684\u6ce2\u52d5\u7bc4\u570d\uff0c\u800c\u4e2d\u7dda\u5247\u8868\u793a\u80a1\u7968\u7684\u5e73\u5747\u50f9\u683c\u3002\u9019\u7a2e\u7d50\u69cb\u4f7f\u5f97\u6295\u8cc7\u8005\u80fd\u5920\u6e05\u6670\u5730\u8b58\u5225\u51fa\u50f9\u683c\u7684\u8da8\u52e2\u548c\u6f5b\u5728\u7684\u8f49\u6298\u9ede\u3002<\/p>\n

\u79fb\u52d5\u5e73\u5747\u901a\u9053 (Moving Average Channel) \u7684\u4f7f\u7528\u6642\u6a5f<\/h2>\n

\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f7f\u7528\u79fb\u52d5\u5e73\u5747\u901a\u9053\u7684\u6700\u4f73\u6642\u6a5f\uff1a<\/p>\n

– **\u8cb7\u5165\u4fe1\u865f**\uff1a\u7576\u80a1\u7968\u50f9\u683c\u7a81\u7834\u4e0a\u7dda\u4e26\u6301\u7e8c\u8d70\u9ad8\uff0c\u8868\u660e\u5e02\u5834\u4e0a\u5347\u8da8\u52e2\uff0c\u9019\u6642\u53ef\u4ee5\u8003\u616e\u8cb7\u5165\u3002
\n– **\u8ce3\u51fa\u4fe1\u865f**\uff1a\u7576\u80a1\u7968\u50f9\u683c\u4e0b\u7834\u4e0b\u7dda\u4e26\u6301\u7e8c\u8d70\u4f4e\uff0c\u5247\u53ef\u80fd\u51fa\u73fe\u4e0b\u8dcc\u8da8\u52e2\uff0c\u9019\u6642\u53ef\u4ee5\u8003\u616e\u8ce3\u51fa\u3002
\n– **\u6301\u6709\u4fe1\u865f**\uff1a\u7576\u4e0a\u7dda\u548c\u4e0b\u7dda\u9010\u6f38\u63a5\u8fd1\uff0c\u986f\u793a\u50f9\u683c\u6ce2\u52d5\u6e1b\u5c0f\uff0c\u9019\u6642\u53ef\u8003\u616e\u6301\u6709\u73fe\u6709\u6301\u80a1\u3002<\/p>\n

\u9019\u4e9b\u4fe1\u865f\u4e26\u975e\u7d55\u5c0d\uff0c\u6295\u8cc7\u8005\u61c9\u7d50\u5408\u5176\u4ed6\u6280\u8853\u6307\u6a19\u9032\u884c\u7d9c\u5408\u5224\u65b7\u3002<\/p>\n

Python \u5be6\u4f5c\u7bc4\u4f8b<\/h2>\n

\u4ee5\u4e0b\u662f\u4f7f\u7528 Python \u7e6a\u88fd\u79fb\u52d5\u5e73\u5747\u901a\u9053\u7684\u7bc4\u4f8b\u3002\u78ba\u4fdd\u60a8\u5b89\u88dd\u4e86\u5fc5\u8981\u7684\u5eab\uff0c\u5982 `pandas` \u548c `matplotlib`\u3002<\/p>\n

“`python
\nimport pandas as pd
\nimport matplotlib.pyplot as plt<\/p>\n

# \u8b80\u53d6\u8cc7\u6599
\ndf = pd.read_csv(‘data.csv’)<\/p>\n

# \u8a08\u7b97\u79fb\u52d5\u5e73\u5747\u901a\u9053
\ndf[‘MA20’] = df[‘Close’].rolling(window=20).mean() # 20\u65e5\u79fb\u52d5\u5e73\u5747
\ndf[‘Upper’] = df[‘MA20’] + 2 * df[‘Close’].rolling(window=20).std() # \u4e0a\u9650
\ndf[‘Lower’] = df[‘MA20’] – 2 * df[‘Close’].rolling(window=20).std() # \u4e0b\u9650<\/p>\n

# \u7e6a\u88fd\u5716\u8868
\nplt.figure(figsize=(10, 6))
\nplt.plot(df[‘Close’], label=’\u6536\u76e4\u50f9’, color=’blue’)
\nplt.plot(df[‘MA20′], label=’20\u65e5\u79fb\u52d5\u5e73\u5747’, color=’orange’)
\nplt.plot(df[‘Upper’], label=’\u4e0a\u9650’, color=’green’)
\nplt.plot(df[‘Lower’], label=’\u4e0b\u9650’, color=’red’)
\nplt.fill_between(df.index, df[‘Upper’], df[‘Lower’], color=’lightgrey’, alpha=0.5)
\nplt.title(‘\u79fb\u52d5\u5e73\u5747\u901a\u9053\u5716\u8868’)
\nplt.xlabel(‘\u65e5\u671f’)
\nplt.ylabel(‘\u50f9\u683c’)
\nplt.legend()
\nplt.grid()
\nplt.show()
\n“`<\/p>\n

\u9019\u6bb5\u7a0b\u5f0f\u78bc\u5c07\u6703\u8b80\u53d6\u60a8\u63d0\u4f9b\u7684\u80a1\u5e02\u6578\u64da\uff0c\u8a08\u7b97\u51fa\u79fb\u52d5\u5e73\u5747\u901a\u9053\u4e26\u7e6a\u88fd\u51fa\u4f86\u3002\u900f\u904e\u9019\u500b\u5716\u8868\uff0c\u60a8\u53ef\u4ee5\u76f4\u89c0\u5730\u770b\u5230\u80a1\u50f9\u7684\u8da8\u52e2\u4ee5\u53ca\u6f5b\u5728\u7684\u8cb7\u8ce3\u4fe1\u865f\u3002<\/p>\n

\u5e38\u898b\u554f\u984c\u89e3\u7b54 (Q&A)<\/h2>\n

**Q1: \u79fb\u52d5\u5e73\u5747\u901a\u9053\u7684\u6700\u4f73\u53c3\u6578\u662f\u4ec0\u9ebc\uff1f**
\nA1: \u901a\u5e38\u4f7f\u7528 20 \u65e5\u79fb\u52d5\u5e73\u5747\uff0c\u4f46\u6839\u64da\u5e02\u5834\u7279\u6027\u548c\u500b\u4eba\u4ea4\u6613\u7b56\u7565\u53ef\u8abf\u6574\u3002\u5efa\u8b70\u591a\u9032\u884c\u6e2c\u8a66\u4ee5\u627e\u51fa\u6700\u9069\u5408\u7684\u53c3\u6578\u3002<\/p>\n

**Q2: \u5982\u4f55\u9078\u64c7\u5408\u9069\u7684\u80a1\u7968\u9032\u884c\u79fb\u52d5\u5e73\u5747\u901a\u9053\u5206\u6790\uff1f**
\nA2: \u9078\u64c7\u6d41\u52d5\u6027\u9ad8\u3001\u6ce2\u52d5\u6027\u9069\u4e2d\u7684\u80a1\u7968\uff0c\u9019\u6a23\u53ef\u4ee5\u63d0\u9ad8\u5206\u6790\u7684\u6e96\u78ba\u6027\u548c\u4ea4\u6613\u7684\u6210\u529f\u7387\u3002<\/p>\n

**Q3: \u9664\u4e86\u79fb\u52d5\u5e73\u5747\u901a\u9053\uff0c\u9084\u6709\u54ea\u4e9b\u6280\u8853\u6307\u6a19\u53ef\u4ee5\u4e00\u8d77\u4f7f\u7528\uff1f**
\nA3: \u53ef\u4ee5\u8003\u616e\u642d\u914d\u76f8\u5c0d\u5f37\u5f31\u6307\u6a19 (RSI)\u3001MACD \u7b49\u5176\u4ed6\u6307\u6a19\uff0c\u589e\u52a0\u4ea4\u6613\u5224\u65b7\u7684\u6e96\u78ba\u6027\u3002<\/p>\n

\u5982\u9700\u9032\u4e00\u6b65\u4e86\u89e3 Python \u76f8\u95dc\u7684\u4ea4\u6613\u6307\u6a19\u8207\u5be6\u4f5c\uff0c\u53ef\u4ee5\u53c3\u8003[\u9019\u88e1](https:\/\/vocus.cc\/article\/605e9d8dfd89780006a5e8e0)\uff0c\u4ee5\u7372\u5f97\u66f4\u591a\u5be6\u7528\u7684\u6559\u5b78\u8cc7\u6e90\u3002<\/p>\n

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

\u6587\u7ae0\u6458\u8981\uff1a\u79fb\u52d5\u5e73\u5747\u901a\u9053(MovingAverageChannel)\u662f\u4e00\u7a2e\u5e38\u7528\u7684\u4ea4\u6613\u6307\u6a19\uff0c\u53ef\u4ee5\u5e6b\u52a9\u6295\u8cc7\u8005\u5224\u65b7\u80a1\u7968\u50f9\u683c\u7684\u8da8\u52e2\uff0c\u4e26\u63d0\u4f9b\u4ea4\u6613\u7684\u6642\u6a5f\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u5982\u4f55\u4f7f\u7528Python\u4f86\u5be6\u73fe\u79fb\u52d5\u5e73\u5747\u901a\u9053\uff0c\u4e26\u63d0\u4f9b\u4e00\u500b\u7c21\u55ae\u7684\u7bc4\u4f8b\u4f86\u8aaa\u660e\u5982\u4f55\u4f7f\u7528\u5b83\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-6240","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\/pcFK27-1CE","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6240","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=6240"}],"version-history":[{"count":1,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6240\/revisions"}],"predecessor-version":[{"id":6241,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6240\/revisions\/6241"}],"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=6240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/categories?post=6240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/tags?post=6240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}