{"id":12719,"date":"2023-02-02T09:26:36","date_gmt":"2023-02-02T01:26:36","guid":{"rendered":"https:\/\/winsmart.tw\/?post_type=trading_knowledge&p=12719"},"modified":"2023-02-02T09:26:43","modified_gmt":"2023-02-02T01:26:43","slug":"%e7%a7%bb%e5%8b%95%e5%b9%b3%e5%9d%87%e7%b7%9a","status":"publish","type":"trading_knowledge","link":"https:\/\/winsmart.tw\/en\/trading_knowledge\/%e7%a7%bb%e5%8b%95%e5%b9%b3%e5%9d%87%e7%b7%9a\/","title":{"rendered":"\u79fb\u52d5\u5e73\u5747\u7dda\uff0c1\u7dda\u5b9a\u6c5f\u5c71\uff0c\u5224\u5225\u591a\u7a7a\u5168\u9760\u5b83\uff01"},"content":{"rendered":"

\u79fb\u52d5\u5e73\u5747\u7dda 1. \u4ec0\u9ebc\u662f\u79fb\u52d5\u5e73\u5747\u7dda\uff1f<\/strong><\/h2>
\"\u79fb\u52d5\u5e73\u5747\u7dda\"<\/figure>

\u79fb\u52d5\u5e73\u5747\u7dda\u662f\u4ec0\u9ebc\u5462\uff1f\u79fb\u52d5\u5e73\u5747<\/a>\u7dda\u5c31\u662f\u6240\u8b02\u7684\u5747\u7dda\uff0c\u82f1\u6587\u53eb\u4f5c Moving Average\uff0c\u7c21\u7a31MA\uff0c\u79fb\u52d5\u5e73\u5747\u7dda\u7e6a\u88fd\u7684\u904e\u7a0b\u4e4b\u4e2d\uff0c\u6703\u5c07\u904e\u53bb\u67d0\u4e00\u6642\u6bb5\u7684\u50f9\u683c\u5e73\u5747\u5f8c\u7e6a\u88fd\u6210\u4e00\u689d\u7dda\uff0c\u4ee5\u5448\u73fe\u884c\u60c5\u8d70\u52e2\u7684\u65b9\u5411\uff0c\u5e38\u898b\u7684\u79fb\u52d5\u5e73\u5747\u7dda\u6709\u4e09\u7a2e\uff0c\u7b2c\u4e00\u7a2e\u662f\u7c21\u55ae\u79fb\u52d5\u5e73\u5747\u7dda(SMA)\u3001\u7b2c\u4e8c\u7a2e\u662f\u6307\u6578\u79fb\u52d5\u5e73\u5747\u7dda(EMA)\u3001\u7b2c\u4e09\u7a2e\u662f\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda(WMA)\u3002<\/p>

\u79fb\u52d5\u5e73\u5747\u7dda\u7a2e\u985e<\/td>\u5747\u7dda\u82f1\u6587\u540d\u7a31<\/td>\u5747\u7dda\u8a08\u7b97\u65b9\u5f0f<\/td>\u6307\u6a19\u512a\u9ede<\/td>\u6307\u6a19\u7f3a\u9ede<\/td><\/tr>
\u7c21\u55ae\u79fb\u52d5\u5e73\u5747\u7dda(SMA)<\/td>Simple Moving Average<\/td>\u4ee5K\u68d2\u6536\u76e4\u50f9\u4e4b\u5e73\u5747\u503c\u7e6a\u88fd\u7684\u5747\u7dda<\/td>\u4e00\u76ee\u77ad\u7136\uff0c\u6307\u6a19\u610f\u7fa9\u7c21\u55ae\u3002<\/td>\u884c\u60c5\u8b8a\u52d5\u5927\u6642\u4e56\u96e2\u4e5f\u5927\uff0c\u6b64\u6642\u5bb9\u6613\u5931\u771f\u3002<\/td><\/tr>
\u6307\u6578\u79fb\u52d5\u5e73\u5747\u7dda(EMA)<\/td>Exponential Moving Average<\/td>EMA = \u7576\u524dK\u68d2\u6536\u76e4\u50f9 * \u5e73\u6ed1\u56e0\u5b50(\u666e\u904d\u70ba2) \/(N+1) + \u524d\u4e00\u6839K\u68d2\u6536\u76e4\u50f9 * 1 – \u5e73\u6ed1\u56e0\u5b50 \/ (N+1)<\/td>\u8d8a\u9760\u8fd1\u7576\u4e0b\u6642\u9593\u7684K\u68d2\u6536\u76e4\u50f9\u5c0d\u65bc\u5747\u7dda\u7684\u5f71\u97ff\u8d8a\u591a\uff0c\u56e0\u6b64\u82e5\u8fd1\u671f\u8b8a\u52d5\u53c8\u5927\u53c8\u5feb\u7684\u8a71\uff0c\u5747\u7dda\u8b8a\u52d5\u52a0\u5feb\uff0c\u5747\u7dda\u7684\u53cd\u61c9\u8f03SMA\u4f86\u8aaa\u66f4\u52a0\u9748\u654f\uff0c\u4e5f\u66f4\u8cbc\u8fd1\u76e4\u9762\u3002<\/td>\u8d8a\u8fd1\u671fK\u68d2\u6536\u76e4\u50f9\u6b0a\u91cd\u8d8a\u5927\uff0c\u8d8a\u9060\u7684K\u68d2\u6536\u76e4\u50f9\u5247\u6307\u6578\u5f0f\u905e\u6e1b\u5176\u6b0a\u91cd\uff0c\u56e0\u6b64\u8d8a\u4e45\u4ee5\u524d\u7684\u8cc7\u6599\u53c3\u8003\u5ea6\u5c31\u8d8a\u5dee\uff0c\u4e26\u4e14EMA\u7684\u5e73\u6ed1\u56e0\u5b50\u6839\u64da\u4e0d\u540c\u4eba\u7684\u4f7f\u7528\u90fd\u6703\u6709\u4e0d\u540c\u7684\u57fa\u6e96\uff0c\u56e0\u6b64\u53c3\u6578\u82e5\u6709\u5dee\u7570\uff0c\u7d50\u679c\u7576\u5929\u5dee\u5730\u9060\u3002<\/td><\/tr>
\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda(WMA)<\/td>Weighted Moving Average<\/td>1. \u7dda\u6027\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1aMA = \u7576\u524dK\u6536\u76e4\u50f9*N + N\u65e5\u6536\u76e4\u50f9*(N-1)\u2192\u4ee5\u6b64\u985e\u63a8 \/ \u52a0\u6b0a\u4e58\u6578\u7e3d\u548c(\u82e5\u70ba 3 WMA\uff0c\u5247\u52a0\u6b0a\u4e58\u6578\u7e3d\u5408\u70ba 1 + 2 + 3 = 6)
2. \u672b\u65e5\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1aMA(N) = \u6536\u76e4\u50f91+\u6536\u76e4\u50f92…\u4ee5\u6b64\u985e\u63a8 \/ N+1
3. \u68af\u578b\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1aMA = (\u6536\u76e4\u50f91+\u6536\u76e4\u50f92)*1(\u6536\u76e4\u50f92+\u6536\u76e4\u50f93)*2…\u4ee5\u6b64\u985e\u63a8 \/ (2*1+2*2…\u4ee5\u6b64\u985e\u63a8)
4. \u5e73\u65b9\u7e6b\u6578\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1a\u5047\u5982\u70ba5WMA = [(\u7b2c1\u6839\u6536\u76e4\u50f9\u00d71\u00d71)+( \u7b2c2\u6839\u6536\u76e4\u50f9\u00d72\u00d72)+( \u7b2c3\u6839\u6536\u76e4\u50f9\u00d73\u00d73)+( \u7b2c4\u6839\u6536\u76e4\u50f9\u00d74\u00d74)+( \u7b2c5\u6839\u6536\u76e4\u50f9\u00d75\u00d75)]\/(1\u00d71\uff0b2\u00d72\uff0b3\u00d73\uff0b4\u00d74\uff0b5\u00d75)<\/td>
\u57fa\u672c\u4e0a\u548cEMA\u6982\u5ff5\u662f\u4e00\u6a23\u7684\uff0c\u4e0d\u904e\u8a08\u7b97\u65b9\u5f0f\u4e0d\u540c\u3002<\/td>\u57fa\u672c\u4e0a\u548cEMA\u6982\u5ff5\u662f\u4e00\u6a23\uff0c\u6839\u64da\u4e0d\u540c\u52a0\u6b0a\u65b9\u5f0f\u6703\u5f97\u51fa\u4e0d\u540c\u7d50\u679c\u3002<\/td><\/tr><\/tbody><\/table><\/figure>

\u79fb\u52d5\u5e73\u5747\u7dda 2. \u70ba\u4ec0\u9ebc\u8981\u770b\u79fb\u52d5\u5e73\u5747\u7dda\uff1f<\/strong><\/h2>

\u70ba\u4ec0\u9ebc\u8981\u770b\u79fb\u52d5\u5e73\u5747\u7dda\u9019\u500b\u6307\u6a19\u5462\uff1f\u5176\u5be6\u5c31\u662f\u56e0\u70ba\u5747\u7dda\u7684\u7528\u6cd5\u5f88\u7c21\u55ae\uff0c\u53ef\u4ee5\u8b93\u4eba\u4e00\u76ee\u77ad\u7136\u7684\u770b\u51fa\u884c\u60c5\u7684\u8d70\u52e2\uff0c\u79fb\u52d5\u5e73\u5747\u7dda\u6c92\u4ec0\u9ebc\u592a\u904e\u8907\u96dc\u7684\u5730\u65b9\uff0c\u5047\u5982\u5747\u7dda\u5f80\u4e0a\u5f4e\uff0c\u8d70\u52e2\u5411\u4e0a\u5c31\u662f\u504f\u591a\u770b\uff0c\u5747\u7dda\u5f80\u4e0b\u5f4e\uff0c\u8d70\u52e2\u5411\u4e0b\u5c31\u662f\u504f\u7a7a\u770b\uff0c\u5747\u7dda\u4e0a\u4e0b\u626d\u66f2\uff0c\u5c31\u662f\u4e0d\u4e0a\u4e0d\u4e0b\uff0c\u5c6c\u65bc\u76e4\u6574\u8d70\u52e2\uff0c\u79fb\u52d5\u5e73\u5747\u7dda\u53ef\u4ee5\u4f5c\u70ba\u4ea4\u6613\u6c7a\u7b56\u601d\u8003\u7684\u6307\u6a19\u4f7f\u7528\u3002<\/p>

\u800c\u6703\u4ee5\u79fb\u52d5\u5e73\u5747\u7dda\u4f5c\u70ba\u4ea4\u6613\u6c7a\u7b56\u7684\u5224\u65b7\u6307\u6a19\u4e4b\u4e00\u7684\u7528\u610f\uff0c\u4e3b\u8981\u662f\u70ba\u4e86\u65b9\u4fbf\u6295\u8cc7\u4eba\u6bd4\u5546\u54c1\u7684\u5e02\u5834\u7576\u524d\u8207\u904e\u53bb\u7684\u5831\u50f9\uff0c\u79fb\u52d5\u5e73\u5747\u7dda\u7684\u7279\u6027\u5c31\u662f\u597d\u61c2\uff0c\u4ee5\u4e00\u689d\u7dda\u7684\u65b9\u5f0f\u53bb\u8868\u793a\u4e0d\u540c\u6642\u9593\u9031\u671f\u4e0b\u5e02\u5834\u50f9\u683c\u7684\u8d70\u5411\uff0c\u8a31\u591a\u6295\u8cc7\u4eba\u6703\u5c07\u79fb\u52d5\u5e73\u5747\u7dda\u642d\u914d\u5176\u4ed6\u6280\u8853\u5206\u6790<\/a>\u7684\u65b9\u6cd5\u4e00\u8d77\u4f7f\u7528\uff0c\u4ee5\u4e86\u89e3\u8da8\u52e2\u6240\u5411\u53ca\u50f9\u683c\u7684\u6163\u6027\u3002<\/p>

\u5ef6\u4f38\u95b1\u8b80\uff1a\u6d77\u5916\u671f\u8ca8\u662f\u4ec0\u9ebc\uff1f5\u5206\u9418\u4e86\u89e3\u6d77\u5916\u671f\u8ca8\u5165\u9580\u5546\u54c1\u3001\u6d77\u5916\u671f\u8ca8\u5238\u5546\u958b\u6236<\/a><\/a><\/strong><\/p>

\ud83d\udc49\u5982\u4f55\u6293\u4f4f\u8d77\u6f32\u9ede ? \u514d\u8cbb\u7d22\u53d6 >> \u9ad8\u500d\u901f\u7372\u5229\u8cb7\u9ede\u96fb\u5b50\u66f8<\/a><\/strong><\/p>

\"\u9ad8\u500d\u901f\u7372\u5229\u8cb7\u9ede\u96fb\u5b50\u66f8\"<\/a><\/figure>

\u79fb\u52d5\u5e73\u5747\u7dda 3. \u7c21\u55ae\u79fb\u52d5\u5e73\u5747\u7ddaSMA<\/strong><\/h2>

SMA(N) = (K\u68d21\u6536\u76e4\u50f9+K\u68d22\u6536\u76e4\u50f9+\u7b2cN\u6839K\u68d2\u6536\u76e4\u50f9…\u4ee5\u6b64\u985e\u63a8) \/ N<\/p>

\u7c21\u55ae\u79fb\u52d5\u5e73\u5747\u7dda\u5c6c\u65bc\u6700\u6cdb\u7528\u7684\u6307\u6a19\uff0c\u7c21\u55ae\u79fb\u52d5\u5e73\u5747\u7dda\u662f\u5404\u985e\u79fb\u52d5\u5e73\u5747\u7dda\u4e4b\u4e2d\u7684\u57fa\u790e\u4e2d\u7684\u57fa\u790e\uff0c\u5b83\u7684\u82f1\u6587\u5c31\u53eb\u4f5cSimple Moving Average\uff0c\u7c21\u7a31SMA\uff0c\u7c21\u55ae\u79fb\u52d5\u5e73\u5747\u7dda\u4ee5\u7c21\u55ae\u70ba\u540d\uff0c\u8a08\u7b97\u7684\u65b9\u5f0f\u4e5f\u975e\u5e38\u7c21\u55ae\uff0c\u7e6a\u88fd\u6642\u5c07\u6703\u4ee5\u904e\u53bb\u4e00\u5b9a\u671f\u9593\u7684\u6536\u76e4\u50f9\u4f5c\u70ba\u53c3\u7167\u7684\u57fa\u6e96\u3002<\/p>

\u6bd4\u5982\u82e5\u60f3\u7e6a\u88fd\u4e94\u65e5\u7c21\u55ae\u5e73\u5747\u7dda\u7684\u8a71\uff0c\u53ef\u4ee5\u5c07\u6bcf\u500b\u9023\u7e8c\u4e94\u5929\u7684\u6536\u76e4\u50f9\u9664\u4ee5\u4e94\u7684\u50f9\u683c\u9023\u7dda\u8d77\u4f86\uff0c\u5c31\u662f\u4e00\u689d\u4e94\u65e5\u7c21\u55ae\u79fb\u52d5\u5e73\u5747\u7dda\uff0c\u82e5\u662f\u60f3\u7e6a\u88fd\u4ee55\u5206\u9418\u70ba\u9031\u671f\u7684\u7c21\u55ae\u5e73\u5747\u7dda20MA\u7684\u8a71\uff0c\u5247\u662f\u5c07\u9023\u7e8c20\u68395\u5206\u9418K\u68d2\u7684\u6536\u76e4\u50f9\u9664\u4ee520\u518d\u9023\u7dda\u8d77\u4f86\uff0c\u5c31\u662f5\u5206\u9418\u9031\u671f\u4e0b\u768420\u7c21\u55ae\u5e73\u5747\u7dda\u3002<\/p>

\u79fb\u52d5\u5e73\u5747\u7dda 4. \u6307\u6578\u79fb\u52d5\u5e73\u5747\u7ddaEMA<\/strong><\/h2>
\"\u79fb\u52d5\u5e73\u5747\u7dda3\"<\/figure>

EMA = \u7576\u524dK\u68d2\u6536\u76e4\u50f9 * \u5e73\u6ed1\u56e0\u5b50 \/(N+1) + \u524d\u4e00\u6839K\u68d2\u6536\u76e4\u50f9 * 1 – \u5e73\u6ed1\u56e0\u5b50 \/ (N+1) … \u4ee5\u6b64\u985e\u63a8<\/p>

\u6307\u6578\u79fb\u52d5\u5e73\u5747\u7dda\u5728\u8a08\u7b97\u7684\u904e\u7a0b\u4e2d\u8f03SMA\u8907\u96dc\uff0c\u6839\u64da\u516c\u5f0f\u53ef\u4ee5\u5f80\u524d\u9762\u7684K\u68d2\u4e0d\u65b7\u5ef6\u5c55\uff0c\u4e0d\u904e\u597d\u8655\u662f\u73fe\u4ee3\u7684\u80a1\u5e02\u8edf\u9ad4\u901a\u5e38\u90fd\u5177\u5099\u8a08\u7b97EMA\u7684\u6307\u6a19\uff0c\u56e0\u6b64\u6295\u8cc7\u4eba\u4e0d\u9700\u8981\u81ea\u5df1\u8a08\u7b97\uff0c\u53ea\u9700\u8981\u8f38\u5165\u53c3\u6578\u5373\u53ef\u3002<\/p>

\u7e3d\u9ad4\u4f86\u8aaa\uff0c\u96e2\u8d8a\u8fd1\u7684K\u68d2\u6536\u76e4\u50f9\u5c0d\u65bc\u5747\u7dda\u5f71\u97ff\u8d8a\u5927\uff0c\u96e2\u5f97\u8d8a\u9060\u7684K\u68d2\u6536\u76e4\u50f9\u5247\u5f71\u97ff\u8d8a\u4f4e\uff0c\u6240\u4ee5\u5747\u7dda\u5448\u73fe\u7684\u65b9\u5f0f\u6703\u66f4\u52a0\u8cbc\u8fd1\u76e4\u9762\uff0c\u6bd4\u8f03\u9069\u5408\u77ed\u7dda\u64cd\u4f5c\u8005\u53c3\u8003\u3002<\/p>

\u4f46\u6307\u6578\u79fb\u52d5\u5e73\u5747\u7dda\u6709\u4e00\u500b\u7279\u6b8a\u7684\u56e0\u5b50\u53eb\u4f5c\u5e73\u6ed1\u56e0\u5b50\uff0c\u666e\u904d\u4f86\u8aaa\u5e73\u6ed1\u56e0\u5b50\u7684\u53c3\u6578\u6703\u8a2d\u70ba2\uff0c\u4f46\u6839\u64da\u4e0d\u540c\u4eba\u7684\u4f7f\u7528\u7fd2\u6163\uff0c\u6709\u4e9b\u6642\u5019\u6703\u586b\u5165\u4e0d\u540c\u7684\u5e73\u6ed1\u56e0\u5b50\uff0c\u5982\u6b64\u5c07\u5f71\u97ff\u8a08\u7b97\u7684\u7d50\u679c\uff0c\u5c0e\u81f4\u7522\u751f\u4e0d\u540c\u7684\u7d50\u679c\u3002<\/p>

\u79fb\u52d5\u5e73\u5747\u7dda 5. \u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7ddaWMA<\/strong><\/h2>
\"\u79fb\u52d5\u5e73\u5747\u7dda2\"<\/figure>

\u52a0\u6b0a\u5e73\u5747\u7dda\u8a08\u7b97\u516c\u5f0f\uff1a<\/p>

1. \u7dda\u6027\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1aWMA = \u7576\u524dK\u6536\u76e4\u50f9*N + N\u65e5\u6536\u76e4\u50f9*(N-1)\u2192\u4ee5\u6b64\u985e\u63a8 \/ \u52a0\u6b0a\u4e58\u6578\u7e3d\u548c(\u82e5\u70ba 3 WMA\uff0c\u5247\u52a0\u6b0a\u4e58\u6578\u7e3d\u5408\u70ba 1 + 2 + 3 = 6)<\/p>

2. \u672b\u65e5\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1aWMA(N) = \u6536\u76e4\u50f91+\u6536\u76e4\u50f92…\u4ee5\u6b64\u985e\u63a8 \/ N+1<\/p>

3. \u68af\u578b\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1aWMA = (\u6536\u76e4\u50f91+\u6536\u76e4\u50f92)*1(\u6536\u76e4\u50f92+\u6536\u76e4\u50f93)*2…\u4ee5\u6b64\u985e\u63a8 \/ (2*1+2*2…\u4ee5\u6b64\u985e\u63a8)<\/p>

4. \u5e73\u65b9\u7e6b\u6578\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\uff1a\u5047\u5982\u70ba5WMA = [(\u7b2c1\u6839\u6536\u76e4\u50f9\u00d71\u00d71)+( \u7b2c2\u6839\u6536\u76e4\u50f9\u00d72\u00d72)+( \u7b2c3\u6839\u6536\u76e4\u50f9\u00d73\u00d73)+( \u7b2c4\u6839\u6536\u76e4\u50f9\u00d74\u00d74)+( \u7b2c5\u6839\u6536\u76e4\u50f9\u00d75\u00d75)]\/(1\u00d71\uff0b2\u00d72\uff0b3\u00d73\uff0b4\u00d74\uff0b5\u00d75)<\/p>

\u52a0\u6b0a\u79fb\u52d5\u5e73\u5747\u7dda\u7684\u8a08\u7b97\u65b9\u6cd5\u975e\u5e38\u7684\u8907\u96dc\uff0c\u800c\u4e14\u6839\u64da\u52a0\u6b0a\u7684\u65b9\u5f0f\u4e0d\u540c\u4e5f\u6703\u7522\u751f\u51fa\u5b8c\u5168\u4e0d\u540c\u5f62\u72c0\u7684\u5747\u7dda\uff0c\u56e0\u6b64\u8f03\u5c11\u4eba\u4f7f\u7528\uff0c\u9664\u53bb\u516c\u5f0f\u7684\u4e0d\u540c\uff0c\u7e3d\u9ad4\u6982\u5ff5\u8ddf\u6307\u6578\u79fb\u52d5\u5e73\u5747\u7dda\u5dee\u4e0d\u591a\uff0c\u8d8a\u8fd1\u671f\u7684K\u68d2\u5f71\u97ff\u529b\u8d8a\u5927\u3002<\/p>

\u79fb\u52d5\u5e73\u5747\u7dda<\/strong><\/strong> 6. \u4ec0\u9ebc\u662fWINSMART\uff1f<\/strong><\/h2>

WINSMART<\/a>\u662f\u4e00\u6b3e\u53ef\u4ee5\u4ea4\u6613\u80a1\u7968\u3001\u570b\u5167\u5916\u671f\u8ca8\u3001\u80a1\u7968\u671f\u8ca8\u3001\u5916\u532f\u7b49\u5546\u54c1\u7684\u4ea4\u6613\u8f14\u52a9\u4ea4\u6613\u8edf\u9ad4\uff0c\u9069\u5408\u4e0d\u60f3\u6d6a\u8cbb\u6642\u9593\u76ef\u76e4\uff0c\u6216\u662f\u5e38\u5e38\u72e0\u4e0d\u4e0b\u5fc3\u505c\u640d\u6216\u62b1\u4e0d\u4f4f\u90e8\u4f4d\u7684\u4ea4\u6613\u8005\u3002<\/p>

\u7121\u8ad6\u4f60\u662f\u5f9e\u672a\u63a5\u89f8\u904e\u80a1\u7968\u7684\u65b0\u624b\uff0c\u6216\u662f\u5df2\u7d93\u4ea4\u6613\u591a\u5e74\u7684\u8001\u624b\uff0c\u90fd\u53ef\u4ee5\u53c3\u8003WINSMART<\/a>\uff0c\u5b83\u53ef\u4ee5\u8a2d\u5b9a\u98a8\u96aa\u63a7\u7ba1\u3001\u505c\u640d\u505c\u5229\uff0c\u9019\u662f\u4e00\u6b3e\u53ef\u4ee5\u8f14\u52a9\u6295\u8cc7\u4eba\u9032\u884c\u4ea4\u6613\uff0c\u4e26\u4e14\u642d\u914d\u5b8c\u6574\u7684\u4ea4\u6613\u8ab2\u7a0b\u548c\u6a21\u64ec\u4ea4\u6613\u7df4\u7fd2\u529f\u80fd\uff0c\u8b93\u65b0\u624b\u6295\u8cc7\u4eba\u53ef\u4ee5\u4e0d\u5fc5\u6d6a\u8cbb\u591a\u9918\u7684\u91d1\u9322\u5230\u5e02\u5834\u4e2d\u78b0\u649e\uff0c\u78d5\u7684\u5168\u8eab\u662f\u50b7\u3002<\/p>

\u5c0d\u65bc\u591a\u6578\u4ea4\u6613\u8005\u800c\u8a00\uff0c\u5728\u901a\u5f80\u7a69\u5b9a\u7372\u5229\u7684\u9053\u8def\u4e0a\uff0c\u7121\u6cd5\u514b\u670d\u7684\u6700\u5927\u96e3\u95dc\uff0c\u5e7e\u4e4e\u90fd\u662f\u7372\u5229\u62b1\u4e0d\u4f4f\u90e8\u4f4d\uff0c\u6216\u662f\u8667\u640d\u6642\u624b\u8edf\u7121\u6cd5\u505c\u640d\uff0c\u751a\u81f3\u52a0\u78bc\u6524\u5e73\u51f9\u55ae\u5c0e\u81f4\u56b4\u91cd\u7684\u5927\u8ce0\uff0c\u56e0\u6b64WINSMART<\/a>\u5c31\u662f\u4f60\u7684\u6700\u4f73\u5925\u4f34\uff0c\u8a2d\u5b9a\u597d\u689d\u4ef6\u5c31\u53ef\u4ee5\u4e0d\u5fc5\u770b\u76e4\uff0c\u4f9d\u7167\u689d\u4ef6\u505a\u5230\u7dca\u62b1\u90e8\u4f4d\u3001\u8cc7\u91d1\u63a7\u7ba1\u3001\u81ea\u52d5\u505c\u5229\u505c\u640d\u3002<\/p>

\ud83d\udc49\u7acb\u5373\u5831\u540d >> <\/strong>WINSMART\u7dda\u4e0a\u5206\u4eab\u6703<\/strong><\/a><\/p>

\"WINSMAR\u8070\u660e\u8d0f\u671f\u8ca8\u8edf\u9ad4-\u90e8\u843d\u683c\u5ee3\u544a\"\/<\/figure>

\u79fb\u52d5\u5e73\u5747\u7dda<\/strong><\/strong><\/strong><\/strong><\/strong> <\/strong><\/strong><\/strong>7. \u5e38\u898b\u554f\u984c<\/strong><\/h2>

Q1\uff1aWINSMART\u53ef\u4ee5\u642d\u914d\u54ea\u5e7e\u5bb6\u5238\u5546\u5462\uff1f<\/p>

A1\uff1aWINSMART\u9664\u4e86\u671f\u8ca8\u3001\u9084\u53ef\u4ee5\u642d\u914dMulticharts\u3001MT5\u4f86\u4ea4\u6613\u80a1\u7968\u3001\u5916\u532f\u4fdd\u8b49\u91d1\u5546\u54c1\uff0c\u76ee\u524d\u6709\u642d\u914dCapital Futures<\/a>\u3001Yuanta Futures<\/a>\u3001\u51f1\u57fa\u671f\u8ca8<\/a>\u3001Hua Nan Futures<\/a>\u3001President Futures<\/a>\u3001Concord Futures<\/a>\u7b49\u5238\u5546\u4e0b\u55ae\u3002<\/p>

Q2\uff1a\u79fb\u52d5\u5e73\u5747\u7dda\u5982\u4f55\u5224\u65b7\u591a\u7a7a\uff1f<\/p>

A2\uff1a\u884c\u60c5\u7ad9\u5728\u79fb\u52d5\u5e73\u5747\u7dda\u4e0a\u770b\u591a\u3001\u8dcc\u7834\u79fb\u52d5\u5e73\u5747\u7dda\u4e0b\u770b\u7a7a\u3002<\/p>

\u5ef6\u4f38\u95b1\u8b80\uff1a\u9078\u64c7\u6b0a\u624b\u7e8c\u8cbb\u6709\u54ea\u4e9b\uff1f\u70ba\u4ec0\u9ebc\u6709\u6642\u5019\u4e0d\u7528\u4ed8\u9078\u64c7\u6b0a\u624b\u7e8c\u8cbb\uff1f3\u5927\u89c0\u5ff5\uff0c\u52a9\u4f60\u7701\u4e0b\u95dc\u9375\u4ea4\u6613\u6210\u672c!<\/a><\/strong><\/p>

\u5ef6\u4f38\u95b1\u8b80\uff1a\u770b\u61c2\u4e09\u5927\u6cd5\u4eba\u9078\u64c7\u6b0a\uff0c1\u6b21\u5b78\u6703\u642d\u4e3b\u529b\u9806\u98a8\u8eca !<\/a><\/strong><\/p>