{"id":6110,"date":"2025-06-02T14:19:29","date_gmt":"2025-06-04T06:53:28","guid":{"rendered":"https:\/\/badgameshow.com\/steven\/?p=6110"},"modified":"2025-06-04T14:19:29","modified_gmt":"2025-06-04T06:53:28","slug":"%e5%ad%b8%e7%bf%92%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8python%e4%b8%ad%e7%9a%84%e5%b8%8c%e7%88%be%e5%b0%b1%e5%9c%b0%e6%8c%87%e6%a8%99%e5%b9%b3%e5%9d%87%e8%b6%a8%e5%90%91%e6%8c%87%e6%95%b8stochasticadx","status":"publish","type":"post","link":"https:\/\/badgameshow.com\/steven\/python\/%e5%ad%b8%e7%bf%92%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8python%e4%b8%ad%e7%9a%84%e5%b8%8c%e7%88%be%e5%b0%b1%e5%9c%b0%e6%8c%87%e6%a8%99%e5%b9%b3%e5%9d%87%e8%b6%a8%e5%90%91%e6%8c%87%e6%95%b8stochasticadx\/","title":{"rendered":"\u5b78\u7fd2\u4f7f\u7528Python\u8a08\u7b972025\u5e74\u6700\u65b0\u7684\u5e0c\u723e\u5c31\u5730\u6307\u6a19\u5e73\u5747\u8da8\u5411\u6307\u6578(Stochastic ADX)\u4ea4\u6613\u6307\u6a19"},"content":{"rendered":"<p><meta name=\"keywords\" content=\"Python, \u5e0c\u723e\u5c31\u5730\u6307\u6a19\u5e73\u5747\u8da8\u5411\u6307\u6578, Stochastic ADX, \u4ea4\u6613\u6307\u6a19, \u4f7f\u7528\u6642\u6a5f, 2025\"><\/p>\n<h1>\u5982\u4f55\u4f7f\u7528Python\u8a08\u7b97\u5e0c\u723e\u5c31\u5730\u6307\u6a19\u5e73\u5747\u8da8\u5411\u6307\u6578(Stochastic ADX)\u4ea4\u6613\u6307\u6a19<\/h1>\n<p>\u5e0c\u723e\u5c31\u5730\u6307\u6a19\u5e73\u5747\u8da8\u5411\u6307\u6578\uff08Stochastic ADX\uff09\u662f\u4e00\u7a2e\u7528\u65bc\u5206\u6790\u8da8\u52e2\u5f37\u5ea6\u7684\u6280\u8853\u6307\u6a19\u3002\u5b83\u7d50\u5408\u4e86<strong>\u5e0c\u723e\u5c31\u5730\u6307\u6a19\uff08Stochastic\uff09<\/strong>\u8207<strong>\u5e73\u5747\u8da8\u5411\u6307\u6578\uff08ADX\uff09<\/strong>\uff0c\u80fd\u5920\u5e6b\u52a9\u6295\u8cc7\u8005\u66f4\u597d\u5730\u4e86\u89e3\u5e02\u5834\u52d5\u5411\uff0c\u4e26\u5236\u5b9a\u66f4\u6709\u6548\u7684\u4ea4\u6613\u7b56\u7565\u3002\u672c\u6587\u5c07\u4ecb\u7d39Stochastic ADX\u7684\u4f7f\u7528\u6642\u6a5f\uff0c\u4e26\u63d0\u4f9b\u6700\u65b0\u7684Python\u7bc4\u4f8b\uff0c\u5e6b\u52a9\u6295\u8cc7\u8005\u6709\u6548\u904b\u7528\u9019\u4e00\u6307\u6a19\u3002<\/p>\n<h2>\u4ec0\u9ebc\u662f\u5e0c\u723e\u5c31\u5730\u6307\u6a19\u5e73\u5747\u8da8\u5411\u6307\u6578\uff08Stochastic ADX\uff09\uff1f<\/h2>\n<p>\u5e0c\u723e\u5c31\u5730\u6307\u6a19\uff08Stochastic\uff09\u662f\u4e00\u7a2e\u6280\u8853\u5206\u6790\u5de5\u5177\uff0c\u7528\u65bc\u5224\u65b7\u8cc7\u7522\u662f\u5426\u904e\u5ea6\u8cb7\u5165\u6216\u8ce3\u51fa\u3002\u5b83\u901a\u5e38\u8207\u5e73\u5747\u8da8\u5411\u6307\u6578\uff08ADX\uff09\u7d50\u5408\u4f7f\u7528\uff0c\u5f8c\u8005\u7528\u4f86\u6e2c\u91cf\u8da8\u52e2\u7684\u5f37\u5ea6\u3002\u9019\u5169\u8005\u7684\u7d50\u5408\u4f7f\u5f97Stochastic ADX\u80fd\u5920\u63d0\u4f9b\u66f4\u5168\u9762\u7684\u5e02\u5834\u5206\u6790\uff0c\u5e6b\u52a9\u6295\u8cc7\u8005\u5728\u9032\u884c\u4ea4\u6613\u6642\u505a\u51fa\u66f4\u660e\u667a\u7684\u6c7a\u7b56\u3002<\/p>\n<h2>Stochastic ADX\u7684\u4f7f\u7528\u6642\u6a5f<\/h2>\n<p>Stochastic ADX\u53ef\u4ee5\u5e6b\u52a9\u6295\u8cc7\u8005\uff1a<\/p>\n<p>1. **\u5224\u65b7\u5e02\u5834\u8da8\u52e2**\uff1a\u78ba\u5b9a\u5e02\u5834\u662f\u5426\u8655\u65bc\u5f37\u52e2\u6216\u5f31\u52e2\u8da8\u52e2\u3002<br \/>\n2. **\u8b58\u5225\u8d85\u8cb7\/\u8d85\u8ce3\u72c0\u614b**\uff1a\u5e6b\u52a9\u6295\u8cc7\u8005\u5224\u65b7\u8cc7\u7522\u662f\u5426\u904e\u5ea6\u8cb7\u5165\u6216\u8ce3\u51fa\u3002<br \/>\n3. **\u5236\u5b9a\u4ea4\u6613\u7b56\u7565**\uff1a\u6839\u64da\u8da8\u52e2\u5f37\u5ea6\u8a2d\u7f6e\u5165\u5834\u548c\u51fa\u5834\u9ede\u3002<\/p>\n<p>\u6b64\u5916\uff0cStochastic ADX\u9084\u53ef\u4ee5\u5e6b\u52a9\u6295\u8cc7\u8005\u5224\u65b7\u8cc7\u7522\u7684\u4e0a\u6f32\u6216\u4e0b\u8dcc\u8da8\u52e2\uff0c\u5f9e\u800c\u66f4\u6709\u6548\u5730\u5236\u5b9a\u4ea4\u6613\u7b56\u7565\uff0c\u63d0\u5347\u4ea4\u6613\u6210\u529f\u7387\u3002<\/p>\n<h2>Python\u7bc4\u4f8b<\/h2>\n<p>\u4ee5\u4e0b\u662f\u66f4\u65b0\u5f8c\u7684Python\u7bc4\u4f8b\u7a0b\u5f0f\u78bc\uff0c\u7528\u65bc\u8a08\u7b97Stochastic ADX\uff1a<\/p>\n<p>&#8220;`python<br \/>\nimport numpy as np<\/p>\n<p># \u8a08\u7b97Stochastic ADX<br \/>\ndef stochastic_adx(high, low, close, n=14):<br \/>\n    # \u8a08\u7b97TR<br \/>\n    tr = np.maximum(high &#8211; low, high &#8211; np.roll(close, 1), np.roll(close, 1) &#8211; low)<\/p>\n<p>    # \u8a08\u7b97DM+<br \/>\n    dm_plus = np.maximum(high &#8211; np.roll(high, 1), 0)<\/p>\n<p>    # \u8a08\u7b97DM-<br \/>\n    dm_minus = np.maximum(np.roll(low, 1) &#8211; low, 0)<\/p>\n<p>    # \u8a08\u7b97TR14<br \/>\n    tr14 = np.convolve(tr, np.ones(n)\/n, mode=&#8217;valid&#8217;)<\/p>\n<p>    # \u8a08\u7b97DM+14<br \/>\n    dm_plus14 = np.convolve(dm_plus, np.ones(n)\/n, mode=&#8217;valid&#8217;)<\/p>\n<p>    # \u8a08\u7b97DM-14<br \/>\n    dm_minus14 = np.convolve(dm_minus, np.ones(n)\/n, mode=&#8217;valid&#8217;)<\/p>\n<p>    # \u8a08\u7b97DI+14<br \/>\n    di_plus14 = 100 * (dm_plus14 \/ tr14)<\/p>\n<p>    # \u8a08\u7b97DI-14<br \/>\n    di_minus14 = 100 * (dm_minus14 \/ tr14)<\/p>\n<p>    # \u8a08\u7b97DX<br \/>\n    dx = 100 * np.abs((di_plus14 &#8211; di_minus14) \/ (di_plus14 + di_minus14))<\/p>\n<p>    # \u8a08\u7b97ADX<br \/>\n    adx = np.convolve(dx, np.ones(n)\/n, mode=&#8217;valid&#8217;)<\/p>\n<p>    # \u8a08\u7b97Stochastic ADX<br \/>\n    stochastic_adx = 100 * (adx &#8211; np.roll(adx, n)) \/ adx<br \/>\n    return stochastic_adx<br \/>\n&#8220;`<\/p>\n<p>\u9019\u6bb5\u7a0b\u5f0f\u78bc\u4e0d\u50c5\u8a08\u7b97Stochastic ADX\uff0c\u9084\u5229\u7528\u6700\u65b0\u7684\u6700\u4f73\u5be6\u8e10\u4f86\u78ba\u4fdd\u7d50\u679c\u7684\u6e96\u78ba\u6027\u3002\u60a8\u53ef\u4ee5\u6839\u64da\u81ea\u5df1\u7684\u9700\u6c42\u8abf\u6574\u53c3\u6578\u3002<\/p>\n<h2>\u7d50\u8ad6<\/h2>\n<p>\u5e0c\u723e\u5c31\u5730\u6307\u6a19\u5e73\u5747\u8da8\u5411\u6307\u6578\uff08Stochastic ADX\uff09\u662f\u4e00\u500b\u5f37\u5927\u7684\u6280\u8853\u6307\u6a19\uff0c\u80fd\u5e6b\u52a9\u6295\u8cc7\u8005\u5206\u6790\u5e02\u5834\u8da8\u52e2\u4e26\u5236\u5b9a\u4ea4\u6613\u7b56\u7565\u3002\u900f\u904e\u672c\u6587\u7684\u4ecb\u7d39\u548cPython\u7bc4\u4f8b\uff0c\u60a8\u53ef\u4ee5\u66f4\u6709\u6548\u5730\u904b\u7528\u9019\u4e00\u6307\u6a19\u4f86\u63d0\u5347\u4ea4\u6613\u6548\u679c\u3002\u5982\u679c\u60a8\u5c0dPython\u4ea4\u6613\u7b56\u7565\u611f\u8208\u8da3\uff0c\u53ef\u4ee5\u53c3\u8003\u66f4\u591a\u76f8\u95dc\u7684[Python\u6559\u5b78\u6587](https:\/\/vocus.cc)\u3002 <\/p>\n<h2>Q&#038;A\uff08\u5e38\u898b\u554f\u984c\u89e3\u7b54\uff09<\/h2>\n<p>1. **Stochastic ADX\u5982\u4f55\u5e6b\u52a9\u6211\u9032\u884c\u4ea4\u6613\uff1f**<br \/>\n   &#8211; Stochastic ADX\u53ef\u4ee5\u5e6b\u52a9\u4f60\u5224\u65b7\u5e02\u5834\u7684\u8da8\u52e2\u5f37\u5ea6\u548c\u8d85\u8cb7\/\u8d85\u8ce3\u72c0\u614b\uff0c\u5f9e\u800c\u5236\u5b9a\u66f4\u6709\u6548\u7684\u4ea4\u6613\u7b56\u7565\u3002<\/p>\n<p>2. **\u6211\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u6578\u64da\u4f86\u8a08\u7b97Stochastic ADX\uff1f**<br \/>\n   &#8211; \u4f60\u9700\u8981\u9ad8\u9ede\uff08high\uff09\u3001\u4f4e\u9ede\uff08low\uff09\u548c\u6536\u76e4\u50f9\uff08close\uff09\u7b49\u50f9\u683c\u6578\u64da\u4f86\u8a08\u7b97Stochastic ADX\u3002<\/p>\n<p>3. **\u5982\u4f55\u9078\u64c7Stochastic ADX\u7684\u53c3\u6578\uff1f**<br \/>\n   &#8211; \u5e38\u7528\u7684\u53c3\u6578\u70ba14\uff0c\u4f60\u53ef\u4ee5\u6839\u64da\u5e02\u5834\u7279\u6027\u548c\u500b\u4eba\u7b56\u7565\u9032\u884c\u8abf\u6574\u3002<\/p>\n<p>&#8212;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6458\u8981\uff1a\u672c\u6587\u5c07\u4ecb\u7d39\u5982\u4f55\u4f7f\u7528Python\u4e2d\u7684\u5e0c\u723e\u5c31\u5730\u6307\u6a19\u5e73\u5747\u8da8\u5411\u6307\u6578(StochasticADX)\u4ea4\u6613\u6307\u6a19\uff0c\u4e26\u63d0\u4f9b\u7bc4\u4f8b\u4ee5\u53ca\u4f7f\u7528\u6642\u6a5f\uff0c\u8b93\u8b80\u8005\u80fd\u5920\u66f4\u52a0\u4e86\u89e3\u5982\u4f55\u4f7f\u7528\u6b64\u6307\u6a19\u4f86\u9032\u884c\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-6110","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\/pcFK27-1Ay","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6110","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=6110"}],"version-history":[{"count":3,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6110\/revisions"}],"predecessor-version":[{"id":12754,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6110\/revisions\/12754"}],"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=6110"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/categories?post=6110"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/tags?post=6110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}