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C<\/td>\u5f53\u5b63\u6bcf\u80a1\u6536\u76ca\u589e\u901f<\/td>\u770b\u6263\u975e\u51c0\u5229\u6da6\u540c\u6bd4\u589e\u957f\uff0c\u6700\u597d\u572825%\u4ee5\u4e0a<\/td><\/tr>
A<\/td>\u5e74\u5ea6\u4e1a\u7ee9\u589e\u957f<\/td>\u8fd1\u4e09\u5230\u4e94\u5e74\u590d\u5408\u589e\u901f\u7a33\u5b9a\uff0cROE\u6700\u597d\u5927\u4e8e17%<\/td><\/tr>
N<\/td>\u65b0\u4ea7\u54c1\u3001\u65b0\u7ba1\u7406\u3001\u65b0\u9ad8<\/td>\u65b0\u54c1\u7c7b\u3001\u65b0\u4ea7\u4e1a\u8d8b\u52bf\u3001\u65b0\u7ba1\u7406\u5c42\uff0c\u6216\u80a1\u4ef7\u63a5\u8fd152\u5468\u9ad8\u70b9<\/td><\/tr>
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I<\/td>\u673a\u6784\u5173\u6ce8\u5ea6<\/td>\u516c\u52df\u3001\u5317\u5411\u8d44\u91d1\u6301\u4ed3\uff0c\u4e14\u5b63\u5ea6\u73af\u6bd4\u6709\u65b0\u589e<\/td><\/tr>
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M\uff1a\u5927\u52bf\u73af\u5883<\/h3>\n\n\n\n
\u8fd9\u4e00\u6761\u6700\u5bb9\u6613\u88ab\u5ffd\u7565\uff0c\u4e5f\u6700\u91cd\u8981\u3002\u6b27\u5948\u5c14\u8bf4\uff0c\u5982\u679c\u6574\u4e2a\u5e02\u573a\u5904\u4e8e\u660e\u786e\u7684\u4e0b\u884c\u8d8b\u52bf\uff0c\u518d\u597d\u7684\u516c\u53f8\u4e5f\u4e0d\u8981\u8f7b\u6613\u78b0\u3002\u56e0\u4e3a\u7edf\u8ba1\u4e0a\u770b\uff0c\u5927\u7ea6\u56db\u5206\u4e4b\u4e09\u7684\u516c\u53f8\u4f1a\u8ddf\u7740\u5927\u52bf\u8d70\u3002<\/p>\n\n\n\n
A\u80a1\u91cc\u5c31\u662f\u770b\u6caa\u6df1300\u6307\u6570\u662f\u5426\u5728200\u65e5\u5747\u7ebf\u4e0a\u65b9\u3002\u5982\u679c\u6307\u6570\u5728\u5747\u7ebf\u4e0b\u65b9\u8fd0\u884c\uff0c\u8bf4\u660e\u5927\u52bf\u504f\u5f31\uff0c\u8fd9\u65f6\u5019\u518d\u597d\u7684\u7b5b\u9009\u7ed3\u679c\u4e5f\u8981\u6253\u4e2a\u6298\u6263\u3002<\/p>\n\n\n\n
\u4e8c\u3001\u8fd9\u5957\u903b\u8f91\u5728A\u80a1\u80fd\u8dd1\u901a\u5417<\/strong><\/h2>\n\n\n\n
\u76f4\u63a5\u8bf4\u7ed3\u8bba\uff1a\u80fd\u8dd1\u901a\uff0c\u4f46\u8981\u6539\u6539\u7528\u3002<\/p>\n\n\n\n
\u96ea\u7403\u548c\u4e1c\u65b9\u8d22\u5bcc\u4e0a\u5f88\u65e9\u5c31\u6709\u7814\u7a76\u8005\u628aCANSLIM\u672c\u571f\u5316\u3002\u6709\u4eba\u7167\u7740\u8fd9\u4e2a\u601d\u8def\u505a\u4e86\u4e00\u4e2a”\u80dc\u523850<\/strong>“\u7ec4\u5408\uff0c\u957f\u671f\u8868\u73b0\u663e\u8457\u8dd1\u8d62\u4e86\u6caa\u6df1300\u6307\u6570\u3002\u56fd\u5185\u4e5f\u6709\u91cf\u5316\u56e2\u961f\u628aRPS\u6307\u6807\u96c6\u6210\u8fdb\u9009\u80a1\u7cfb\u7edf\uff0c\u7528\u6765\u8bc6\u522b\u77ed\u671f\u5f3a\u52bf\u80a1\u3002<\/p>\n\n\n\n
\u4e0d\u8fc7A\u80a1\u548c\u7f8e\u80a1\u6709\u4e09\u4e2a\u660e\u663e\u5dee\u5f02\uff0c\u4f60\u5f97\u77e5\u9053\uff1a<\/p>\n\n\n\n
    \n
  • \u8d22\u52a1\u6570\u636e\u62ab\u9732\u8282\u594f\u4e0d\u540c\u3002<\/strong>A\u80a1\u5b63\u62a5\u62ab\u9732\u6709\u56fa\u5b9a\u7a97\u53e3\uff0c\u800c\u4e14\u7ecf\u5e38\u8e29\u70b9\u53d1\u5e03\uff0c\u6570\u636e\u6ede\u540e\u6027\u6bd4\u7f8e\u80a1\u66f4\u4e25\u91cd\u3002<\/li>\n\n\n\n
  • \u6d41\u901a\u76d8\u548c\u7b79\u7801\u7ed3\u6784\u5dee\u5f02\u5927\u3002<\/strong>A\u80a1\u5c0f\u5e02\u503c\u516c\u53f8\u6ce2\u52a8\u6781\u5927\uff0cRPS\u9ad8\u7684\u65f6\u5019\u53ef\u80fd\u5df2\u7ecf\u5728\u9ad8\u4f4d\uff1b\u800c\u5927\u76d8\u84dd\u7b79RPS\u5f88\u96be\u51b2\u523090\u4ee5\u4e0a\u3002\u6240\u4ee5S\u548cL\u8981\u8054\u52a8\u770b\u3002<\/li>\n\n\n\n
  • \u673a\u6784\u884c\u4e3a\u66f4\u96c6\u4e2d\u3002<\/strong>A\u80a1\u7684\u516c\u52df\u548c\u5317\u5411\u8d44\u91d1\u504f\u597d\u5f88\u660e\u786e\uff0c\u5bb9\u6613\u5728\u4e2a\u522b\u677f\u5757\u5f62\u6210\u62e5\u6324\u3002I\u8fd9\u6761\u8981\u5173\u6ce8\u65b0\u589e\u673a\u6784\uff0c\u800c\u4e0d\u662f\u603b\u6301\u4ed3\u3002<\/li>\n<\/ul>\n\n\n\n
    \u6240\u4ee5\u8001\u4f59\u7684\u5efa\u8bae\u662f\uff1a\u628aCANSLIM\u5f53\u4f5c\u4e00\u4e2a\u6f0f\u6597\uff0c\u800c\u4e0d\u662f\u4e00\u4e2a\u5f00\u5173\u3002\u5b83\u7684\u4f5c\u7528\u662f\u5e2e\u4f60\u4ece\u56db\u5343\u591a\u5bb6\u516c\u53f8\u91cc\u5feb\u901f\u7b5b\u51fa\u4e00\u4e2a\u51e0\u5341\u5bb6\u7684\u89c2\u5bdf\u6c60\uff0c\u540e\u9762\u7684\u5de5\u4f5c\u8fd8\u5f97\u9760\u4f60\u81ea\u5df1\u3002<\/p>\n\n\n\n
    \u4e09\u3001\u81ea\u5df1\u52a8\u624b\uff1aA\u80a1\u7248CANSLIM\u7b5b\u9009\u5668<\/strong><\/h2>\n\n\n\n
    \u4e0b\u9762\u8fd9\u6bb5\u4ee3\u7801\u7528\u5230\u4e86\u00a0akshare<\/code>\uff0c\u8fd9\u662f\u56fd\u5185\u91cf\u5316\u7231\u597d\u8005\u6700\u5e38\u7528\u7684\u514d\u8d39\u6570\u636e\u63a5\u53e3\u4e4b\u4e00\uff0c\u4e0d\u9700\u8981\u6ce8\u518ctoken\uff0c\u5b89\u88c5\u5c31\u80fd\u7528\u3002<\/p>\n\n\n\n
    \n
    \u73af\u5883\u51c6\u5907\uff1a<\/strong>\u5728\u7ec8\u7aef\u6267\u884c\u00a0pip install akshare pandas numpy<\/code>\u00a0\u5373\u53ef\u3002<\/p>\n<\/blockquote>\n\n\n\n
    \u4ee3\u7801\u903b\u8f91\u5206\u4e3a\u56db\u6b65\uff1a\u83b7\u53d6A\u80a1\u5217\u8868\u3001\u6279\u91cf\u8ba1\u7b97\u6280\u672f\u6307\u6807\u548cRPS\u3001\u63a5\u5165\u8d22\u52a1\u6570\u636e\uff08\u4f60\u4e5f\u53ef\u66ff\u6362\u6210Tushare Pro\u63a5\u53e3\uff09\u3001\u7efc\u5408\u6253\u5206\u8f93\u51faCSV\u3002<\/p>\n\n\n\n
    import akshare as ak\n\nimport pandas as pd\n\nimport numpy as np\n\nfrom datetime import datetime, timedelta\n\n\n\ndef get_stock_pool():\n\n\u00a0 \u00a0 \"\"\"\u83b7\u53d6A\u80a1\u6c60\uff0c\u5254\u9664ST\u3001\u9000\u5e02\u80a1\u548c\u5317\u4ea4\u6240\"\"\"\n\n\u00a0 \u00a0 df = ak.stock_zh_a_spot_em()\n\n\u00a0 \u00a0 # \u8fc7\u6ee4ST\u3001\u9000\u5e02\u3001\u540d\u79f0\u5f02\u5e38\n\n\u00a0 \u00a0 df = df[~df['\u540d\u79f0'].str.contains('ST|\u9000', regex=False, na=False)]\n\n\u00a0 \u00a0 # \u5317\u4ea4\u62408\u5f00\u5934\uff0c\u79d1\u521b\u677f688\u5f00\u5934\uff08\u53ef\u9009\u8fc7\u6ee4\uff09\n\n\u00a0 \u00a0 df = df[~df['\u4ee3\u7801'].str.startswith('8')]\n\n\u00a0 \u00a0 df = df[~df['\u4ee3\u7801'].str.startswith('68')]\n\n\u00a0 \u00a0 return df[['\u4ee3\u7801', '\u540d\u79f0', '\u603b\u5e02\u503c', '\u6362\u624b\u7387']].copy()\n\n\n\ndef fetch_hist_and_compute(code):\n\n\u00a0 \u00a0 \"\"\"\u83b7\u53d6\u5386\u53f2\u6570\u636e\uff0c\u8ba1\u7b97250\u65e5\u6da8\u5e45\u4e0e200\u65e5\u5747\u7ebf\"\"\"\n\n\u00a0 \u00a0 try:\n\n\u00a0 \u00a0 \u00a0 \u00a0 start = (datetime.now() - timedelta(days=380)).strftime(\"%Y%m%d\")\n\n\u00a0 \u00a0 \u00a0 \u00a0 end = datetime.now().strftime(\"%Y%m%d\")\n\n\u00a0 \u00a0 \u00a0 \u00a0 hist = ak.stock_zh_a_hist(\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 symbol=code, period=\"daily\",\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 start_date=start, end_date=end, adjust=\"qfq\"\n\n\u00a0 \u00a0 \u00a0 \u00a0 )\n\n\u00a0 \u00a0 \u00a0 \u00a0 if len(hist) < 250:\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 return None\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 close = hist['\u6536\u76d8']\n\n\u00a0 \u00a0 \u00a0 \u00a0 ret_250 = (close.iloc[-1] - close.iloc[-250]) \/ close.iloc[-250]\n\n\u00a0 \u00a0 \u00a0 \u00a0 ma200 = close.rolling(200).mean().iloc[-1]\n\n\u00a0 \u00a0 \u00a0 \u00a0 high_52w = close.tail(250).max()\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 return {\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'return_250': ret_250,\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'price': close.iloc[-1],\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'ma200': ma200,\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'high_52w': high_52w\n\n\u00a0 \u00a0 \u00a0 \u00a0 }\n\n\u00a0 \u00a0 except Exception:\n\n\u00a0 \u00a0 \u00a0 \u00a0 return None\n\n\n\ndef get_financial_proxy(code):\n\n\u00a0 \u00a0 \"\"\"\n\n\u00a0 \u00a0 \u8d22\u52a1\u6570\u636e\u5efa\u8bae\u901a\u8fc7 Tushare Pro \/ AKShare \u8d22\u52a1\u63a5\u53e3\u8865\u5145\u3002\n\n\u00a0 \u00a0 \u6b64\u5904\u4e3a\u6f14\u793a\u5360\u4f4d\uff1b\u5b9e\u9645\u8fd0\u884c\u65f6\u5e94\u63a5\u5165\u5b63\u5ea6\u51c0\u5229\u6da6\u589e\u901f\u4e0eROE\u3002\n\n\u00a0 \u00a0 \"\"\"\n\n\u00a0 \u00a0 # \u793a\u4f8b\u63a5\u53e3\u53c2\u8003\uff1a\n\n\u00a0 \u00a0 # ak.stock_profit_sheet_by_quarterly_em()\n\n\u00a0 \u00a0 # \u6216 tushare pro \u7684 fina_indicator \u63a5\u53e3\n\n\u00a0 \u00a0 return {'eps_growth': None, 'roe': None}\n\n\n\ndef canslim_a_share_screener(top_n=120):\n\n\u00a0 \u00a0 print(\">>> \u6b63\u5728\u52a0\u8f7dA\u80a1\u5b9e\u65f6\u6570\u636e...\")\n\n\u00a0 \u00a0 pool = get_stock_pool().nlargest(top_n, '\u603b\u5e02\u503c')\n\n\n\u00a0 \u00a0 # \u7b2c\u4e00\u6b65\uff1a\u6279\u91cf\u83b7\u53d6\u6280\u672f\u6307\u6807\n\n\u00a0 \u00a0 tech_list = []\n\n\u00a0 \u00a0 for _, row in pool.iterrows():\n\n\u00a0 \u00a0 \u00a0 \u00a0 info = fetch_hist_and_compute(row['\u4ee3\u7801'])\n\n\u00a0 \u00a0 \u00a0 \u00a0 if info:\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 info['\u4ee3\u7801'] = row['\u4ee3\u7801']\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 info['\u540d\u79f0'] = row['\u540d\u79f0']\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 info['\u603b\u5e02\u503c'] = row['\u603b\u5e02\u503c']\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 info['\u6362\u624b\u7387'] = row['\u6362\u624b\u7387']\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 tech_list.append(info)\n\n\n\u00a0 \u00a0 if not tech_list:\n\n\u00a0 \u00a0 \u00a0 \u00a0 print(\"\u672a\u83b7\u53d6\u5230\u6709\u6548\u6570\u636e\uff0c\u8bf7\u68c0\u67e5\u7f51\u7edc\u6216\u6570\u636e\u6e90\u3002\")\n\n\u00a0 \u00a0 \u00a0 \u00a0 return pd.DataFrame()\n\n\n\u00a0 \u00a0 tech_df = pd.DataFrame(tech_list)\n\n\n\u00a0 \u00a0 # \u7b2c\u4e8c\u6b65\uff1a\u8ba1\u7b97RPS\uff08250\u65e5\u6da8\u5e45\u7684\u5e02\u573a\u767e\u5206\u4f4d\uff09\n\n\u00a0 \u00a0 tech_df['rps'] = tech_df['return_250'].rank(pct=True) * 100\n\n\n\u00a0 \u00a0 # \u7b2c\u4e09\u6b65\uff1a\u9010\u6761\u6253\u5206\n\n\u00a0 \u00a0 results = []\n\n\u00a0 \u00a0 for _, row in tech_df.iterrows():\n\n\u00a0 \u00a0 \u00a0 \u00a0 # C: \u5f53\u5b63\u51c0\u5229\u6da6\u589e\u901f \u2265 25%\uff08\u9700\u63a5\u5165\u8d22\u52a1\u6570\u636e\uff09\n\n\u00a0 \u00a0 \u00a0 \u00a0 c = False \u00a0# \u793a\u4f8b\uff1arow['eps_growth'] >= 0.25\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 # A: \u5e74\u5ea6\u4e1a\u7ee9\u589e\u957f + ROE\uff08\u9700\u63a5\u5165\u8d22\u52a1\u6570\u636e\uff09\n\n\u00a0 \u00a0 \u00a0 \u00a0 a = False \u00a0# \u793a\u4f8b\uff1arow['roe'] >= 0.17\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 # N: \u80a1\u4ef7\u8ddd\u79bb52\u5468\u9ad8\u70b9\u572815%\u4ee5\u5185\n\n\u00a0 \u00a0 \u00a0 \u00a0 n = (row['price'] \/ row['high_52w'] >= 0.85) if row['high_52w'] else False\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 # S: \u6d41\u901a\u4f9b\u7ed9\u504f\u597d\u4e2d\u7b49\u504f\u5c0f\uff08\u793a\u4f8b\uff1a\u603b\u5e02\u503c\u4f4e\u4e8e500\u4ebf\uff09\n\n\u00a0 \u00a0 \u00a0 \u00a0 s = row['\u603b\u5e02\u503c'] < 500_000_000_000\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 # L: RPS \u2265 80\uff08\u9886\u6da8\u80a1\uff09\n\n\u00a0 \u00a0 \u00a0 \u00a0 l = row['rps'] >= 80\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 # I: \u5173\u6ce8\u5ea6\u9002\u4e2d\uff08\u7528\u6362\u624b\u7387\u7c97\u7565\u6a21\u62df\u6d41\u52a8\u6027\uff0c\u975e\u771f\u5b9e\u673a\u6784\u5360\u6bd4\uff09\n\n\u00a0 \u00a0 \u00a0 \u00a0 i = 0.02 <= row['\u6362\u624b\u7387'] <= 0.15\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 # M: \u4ef7\u683c\u5728200\u65e5\u5747\u7ebf\u4e0a\u65b9\uff08\u5927\u52bf\u5411\u4e0a\uff09\n\n\u00a0 \u00a0 \u00a0 \u00a0 m = row['price'] > row['ma200'] if pd.notna(row['ma200']) else False\n\n\n\u00a0 \u00a0 \u00a0 \u00a0 score = sum([c, a, n, s, l, i, m])\n\n\u00a0 \u00a0 \u00a0 \u00a0 results.append({\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 '\u4ee3\u7801': row['\u4ee3\u7801'],\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 '\u540d\u79f0': row['\u540d\u79f0'],\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 '\u5f97\u5206': score,\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'RPS': round(row['rps'], 1),\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 '\u8ddd52\u5468\u9ad8\u70b9': f\"{row['price']\/row['high_52w']:.1%}\" if row['high_52w'] else '-',\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 '\u603b\u5e02\u503c(\u4ebf)': round(row['\u603b\u5e02\u503c']\/1e8, 1),\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'N_\u8fd1\u65b0\u9ad8': '\u662f' if n else '\u5426',\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'S_\u4e2d\u5c0f\u76d8': '\u662f' if s else '\u5426',\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'L_RPS\u226580': '\u662f' if l else '\u5426',\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'I_\u6362\u624b\u9002\u4e2d': '\u662f' if i else '\u5426',\n\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 'M_\u5747\u7ebf\u4e0a\u65b9': '\u662f' if m else '\u5426',\n\n\u00a0 \u00a0 \u00a0 \u00a0 })\n\n\n\u00a0 \u00a0 df = pd.DataFrame(results).sort_values('\u5f97\u5206', ascending=False)\n\n\u00a0 \u00a0 df.to_csv(\"canslim_a_share.csv\", index=False, encoding='utf-8-sig')\n\n\u00a0 \u00a0 print(f\">>> \u626b\u63cf\u5b8c\u6210\uff0c\u7ed3\u679c\u5df2\u4fdd\u5b58\uff0c\u5171 {len(df)} \u6761\u3002\")\n\n\u00a0 \u00a0 return df\n\n\n\nif __name__ == '__main__':\n\n\u00a0 \u00a0 df = canslim_a_share_screener(top_n=100)\n\n\u00a0 \u00a0 print(df.head(10)[['\u4ee3\u7801','\u540d\u79f0','\u5f97\u5206','RPS']].to_string(index=False))<\/code><\/pre>\n\n\n\n
    \u5173\u4e8e\u8d22\u52a1\u6570\u636e\u7684\u8bf4\u660e\uff1a<\/strong>\u4e0a\u9762\u4ee3\u7801\u91ccC\u548cA\u6253\u4e86\u5360\u4f4d\u7b26\uff0c\u56e0\u4e3aakshare\u7684\u5b9e\u65f6\u884c\u60c5\u63a5\u53e3\u4e0d\u76f4\u63a5\u8fd4\u56de\u5b63\u5ea6EPS\u589e\u901f\u548cROE\u3002\u5efa\u8bae\u6709\u9700\u6c42\u7684\u8bfb\u8005\u63a5\u5165 Tushare Pro \u7684fina_indicator<\/code> \u63a5\u53e3\uff0c\u6216akshare\u7684\u8d22\u52a1\u62a5\u8868\u63a5\u53e3\uff0c\u628a eps_growth<\/code> \u548c roe<\/code> \u8865\u4e0a\uff0c\u6574\u4e2a\u6846\u67b6\u5c31\u8dd1\u901a\u4e86\u3002<\/p>\n\n\n\n
    \u8fd0\u884c\u540e\u4f1a\u5728\u5f53\u524d\u76ee\u5f55\u751f\u6210\u4e00\u4e2a canslim_a_share.csv<\/code>\uff0c\u6309\u5f97\u5206\u4ece\u9ad8\u5230\u4f4e\u6392\u5217\u3002\u4f60\u53ef\u4ee5\u628a top_n<\/code> \u8c03\u5927\u53bb\u626b\u66f4\u591a\u516c\u53f8\uff0c\u4f46\u6ce8\u610f\u5168\u5e02\u573a4000\u591a\u53ea\u8dd1\u4e0b\u6765\u9700\u8981\u4e00\u5b9a\u65f6\u95f4\uff0c\u5efa\u8bae\u665a\u4e0a\u6302\u673a\u8dd1\u3002<\/p>\n\n\n\n
    \u56db\u3001\u8dd1\u51fa\u6765\u4e4b\u540e\uff0c\u600e\u4e48\u7528\u8fd9\u4e2a\u7ed3\u679c<\/strong><\/h2>\n\n\n\n
    \u4ee3\u7801\u53ea\u662f\u5e2e\u4f60\u7f29\u5c0f\u8303\u56f4\u3002\u5047\u8bbe\u4e00\u5bb6\u516c\u53f8\u5f97\u4e866\u5206\u62167\u5206\uff0c\u8bf4\u660e\u5b83\u540c\u65f6\u6ee1\u8db3\u591a\u4e2a\u6761\u4ef6\uff0c\u8fdb\u5165\u4e86”\u89c2\u5bdf\u6c60”\u3002\u4f46\u8fd9\u4e0d\u610f\u5473\u7740\u4f60\u53ef\u4ee5\u95ed\u773c\u8fdb\u573a\u3002<\/p>\n\n\n\n
    \u8001\u4f59\u7684\u4e60\u60ef\u662f\uff1a\u6253\u5206\u9ad8\u7684\u516c\u53f8\uff0c\u6211\u4f1a\u518d\u82b1\u5341\u5206\u949f\u770b\u4e09\u4ef6\u4e8b\u3002<\/p>\n\n\n\n
      \n
    1. \u770b\u884c\u4e1a\u3002<\/strong>\u5b83\u6240\u5904\u7684\u884c\u4e1a\u662f\u4e0d\u662f\u5f53\u524d\u6709\u4ea7\u4e1a\u50ac\u5316\u7684\u65b9\u5411\uff1f\u8fd9\u6761\u9700\u8981\u9a8c\u8bc1\u3002<\/li>\n\n\n\n
    2. \u770b\u56fe\u5f62\u3002<\/strong>\u662f\u4e0d\u662f\u5904\u4e8e\u5e73\u53f0\u7a81\u7834\u6216\u676f\u67c4\u5f62\u6001\uff1f\u6b27\u5948\u5c14\u5bf9K\u7ebf\u5f62\u6001\u6709\u4e00\u5957\u81ea\u5df1\u7684\u53eb\u6cd5\uff0c\u6838\u5fc3\u5c31\u662f\u4e0d\u8981\u5728\u6df1\u5ea6\u8c03\u6574\u4e2d\u63a5\u98de\u5200\u3002<\/li>\n\n\n\n
    3. \u770b\u7b79\u7801\u3002<\/strong>\u8fd1\u671f\u6709\u6ca1\u6709\u5927\u989d\u89e3\u7981\uff1f\u80a1\u4e1c\u6709\u6ca1\u6709\u51cf\u6301\u516c\u544a\uff1fS\u548cI\u4e0d\u53ea\u662f\u6570\u5b57\uff0c\u8fd8\u8981\u7ed3\u5408\u5177\u4f53\u4e8b\u4ef6\u3002<\/li>\n<\/ol>\n\n\n\n
      \u5982\u679c\u8fd9\u4e09\u4ef6\u4e8b\u90fd\u8fc7\u5173\uff0c\u518d\u8c08\u4e0b\u4e00\u6b65\u3002\u8bb0\u4f4f\uff0cCANSLIM\u662f\u6f0f\u6597<\/strong>\uff0c\u4e0d\u662f\u89e6\u53d1\u5668<\/strong>\u3002<\/p>\n\n\n\n
      \u4e94\u3001\u51e0\u4e2a\u8981\u907f\u5f00\u7684\u5751<\/strong><\/h2>\n\n\n\n
      \u4efb\u4f55\u65b9\u6cd5\u90fd\u6709\u8fb9\u754c\uff0c\u8001\u4f59\u5fc5\u987b\u5982\u5b9e\u544a\u8bc9\u4f60\u3002<\/p>\n\n\n\n
      \u7b2c\u4e00\uff0c\u5b83\u5929\u751f\u504f\u5411\u6210\u957f\u98ce\u683c\u3002<\/strong>\u5982\u679c\u4f60\u4fe1\u5949\u4f4e\u4f30\u503c\u9006\u5411\u6295\u8d44\uff0c\u8fd9\u5957\u65b9\u6cd5\u4f1a\u8ba9\u4f60\u5f88\u4e0d\u8212\u670d\u3002\u5b83\u7b5b\u51fa\u6765\u7684\u90fd\u662f\u5df2\u7ecf\u6da8\u8fc7\u4e00\u6bb5\u3001\u770b\u8d77\u6765”\u4e0d\u4fbf\u5b9c”\u7684\u516c\u53f8\u3002<\/p>\n\n\n\n
      \u7b2c\u4e8c\uff0c\u6570\u636e\u6ede\u540e\u662f\u786c\u4f24\u3002<\/strong>\u8d22\u62a5\u6709\u62ab\u9732\u671f\uff0c\u7b49\u4f60\u770b\u5230\u5b63\u5ea6\u589e\u957f25%\u65f6\uff0c\u53ef\u80fd\u5df2\u7ecf\u8fc7\u53bb\u4e24\u4e2a\u6708\u3002\u6b27\u5948\u5c14\u5f53\u5e74\u7528\u7684\u662f\u5373\u65f6\u7684\u673a\u6784\u6570\u636e\uff0c\u6211\u4eec\u73b0\u5728\u7528\u514d\u8d39\u63a5\u53e3\uff0c\u5ef6\u8fdf\u662f\u4e0d\u53ef\u907f\u514d\u7684\u3002<\/p>\n\n\n\n
      \u7b2c\u4e09\uff0cA\u80a1\u7684\u5c0f\u5e02\u503c\u9677\u9631\u3002<\/strong>S\u8fd9\u6761\u5982\u679c\u7406\u89e3\u504f\u4e86\uff0c\u5bb9\u6613\u7b5b\u5230\u4e00\u5806\u5e84\u80a1\u6216\u6d41\u52a8\u6027\u6781\u5dee\u7684\u51b7\u95e8\u516c\u53f8\u3002\u5efa\u8bae\u628a\u603b\u5e02\u503c\u4e0b\u9650\u4e5f\u8bbe\u597d\uff0c\u6bd4\u5982\u4e0d\u4f4e\u4e8e50\u4ebf\uff0c\u907f\u5f00\u4ed9\u80a1\u3002<\/p>\n\n\n\n
      \u7b2c\u56db\uff0cRPS\u9ad8\u4e0d\u4ee3\u8868\u540e\u7eed\u4e00\u5b9a\u5f3a\u3002<\/strong>RPS\u662f\u540e\u89c6\u955c\uff0c\u53cd\u6620\u7684\u662f\u8fc7\u53bb250\u5929\u8c01\u6da8\u5f97\u597d\u3002\u5982\u679c\u4e00\u5bb6\u516c\u53f8\u5168\u9760\u4e00\u4e2a\u6d88\u606f\u523a\u6fc0\u6da8\u5230\u524d5%\uff0cRPS\u4f1a\u5f88\u9ad8\uff0c\u4f46\u57fa\u672c\u9762\u53ef\u80fd\u6491\u4e0d\u4f4f\u3002\u6240\u4ee5\u8981\u914d\u5408C\u548cA\u4e00\u8d77\u770b\u3002<\/p>\n\n\n\n
      \u8001\u4f59\u7684\u4e00\u53e5\u8bdd\u603b\u7ed3\uff1a<\/strong>CANSLIM\u7684\u6838\u5fc3\u4ef7\u503c\uff0c\u662f\u903c\u4f60\u5728”\u597d\u516c\u53f8”\u548c”\u597d\u8d70\u52bf”\u4e4b\u95f4\u627e\u4e00\u4e2a\u4ea4\u96c6\u3002\u5f88\u591a\u4eba\u53ea\u770b\u5176\u4e2d\u4e00\u4e2a\uff0c\u6b27\u5948\u5c14\u8981\u6c42\u4f60\u540c\u65f6\u6ee1\u8db3\u3002\u8fd9\u4e2a\u601d\u7ef4\u4e60\u60ef\u672c\u8eab\uff0c\u5c31\u6bd4\u4efb\u4f55\u5355\u4e00\u6307\u6807\u90fd\u503c\u94b1\u3002<\/p>\n\n\n\n
      \u516d\u3001\u5199\u5728\u6700\u540e<\/strong><\/h2>\n\n\n\n
      \u5199\u8fd9\u7bc7\u6587\u7ae0\u7684\u65f6\u5019\uff0c\u6211\u523b\u610f\u907f\u5f00\u4e86\u90a3\u4e9b\u8ba9\u4f60”\u70ed\u8840\u6cb8\u817e”\u7684\u8bcd\u6c47\u3002\u56e0\u4e3a\u505a\u6295\u8d44\uff0c\u7b2c\u4e00\u6b65\u662f\u627f\u8ba4\u81ea\u5df1\u6ca1\u6709\u6c34\u6676\u7403\uff0c\u7b2c\u4e8c\u6b65\u662f\u5efa\u7acb\u4e00\u5957\u53ef\u4ee5\u91cd\u590d\u6267\u884c\u7684\u89c4\u5219\u3002<\/p>\n\n\n\n
      CANSLIM\u6d41\u4f20\u4e86\u56db\u5341\u5e74\uff0c\u4e0d\u662f\u56e0\u4e3a\u5b83\u662f\u5b8c\u7f8e\u7684\u7cfb\u7edf\uff0c\u800c\u662f\u56e0\u4e3a\u5b83\u628a”\u627e\u5f3a\u52bf\u80a1”\u8fd9\u4ef6\u590d\u6742\u7684\u4e8b\uff0c\u62c6\u6210\u4e86\u4e03\u4e2a\u53ef\u4ee5\u91cf\u5316\u3001\u53ef\u4ee5\u68c0\u9a8c\u7684\u6b65\u9aa4\u3002\u5728A\u80a1\uff0c\u6570\u636e\u6e90\u8981\u6362\uff0c\u53c2\u6570\u8981\u8c03\uff0c\u4f46\u5e95\u5c42\u903b\u8f91\u6ca1\u53d8\uff1a\u4e1a\u7ee9\u52a0\u901f\u3001\u4ef7\u683c\u8d70\u5f3a\u3001\u5e02\u573a\u914d\u5408\u3002<\/p>\n\n\n\n
      \u5e0c\u671b\u8fd9\u6bb5\u4ee3\u7801\u548c\u8fd9\u5957\u601d\u8def\uff0c\u80fd\u5e2e\u4f60\u5728\u56db\u5343\u591a\u5bb6\u516c\u53f8\u91cc\uff0c\u66f4\u5feb\u5730\u627e\u5230\u503c\u5f97\u82b1\u65f6\u95f4\u53bb\u7814\u7a76\u7684\u5c11\u6570\u6d3e\u3002<\/p>\n\n\n\n
      <\/p>\n\n\n\n
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