修改objective

app/service/portfolio_diagnose.py

@@ -1121,7 +1121,7 @@ class PortfolioDiagnose(object):
             result = []
             for fund in self.portfolio:
                 try:
-                    result.append(self.single_evaluation(fund), objective)
+                    result.append(self.single_evaluation(fund, objective))
                 except IndexError:
                     continue
             return result
@@ -1155,14 +1155,14 @@ class PortfolioDiagnose(object):
         return radar_data
 
 
-# portfolio = ['HF00002JJ2', 'HF00005DBQ', 'HF0000681Q', 'HF00006693', 'HF00006AZF', 'HF00006BGS']
-# portfolio_diagnose = PortfolioDiagnose(client_type=1, portfolio=portfolio, invest_amount=10000000)
-# portfolio_diagnose.optimize()
-# if __name__ == '__main__':
-#     print(portfolio_diagnose.single_fund_radar())
-#     print(portfolio_diagnose.propose_fund_radar())
-#     print(portfolio_diagnose.old_portfolio_evaluation())
-#     print('旧组合相关性：', portfolio_diagnose.old_correlation)
-#     print('新组合相关性：', portfolio_diagnose.new_correlation)
-#     print('旧组合个基评价：', portfolio_diagnose.old_portfolio_evaluation())
-#     print('新组合个基评价：', portfolio_diagnose.propose_fund_evaluation())
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+portfolio = ['HF00002JJ2', 'HF00005DBQ', 'HF0000681Q', 'HF00006693', 'HF00006AZF', 'HF00006BGS']
+portfolio_diagnose = PortfolioDiagnose(client_type=1, portfolio=portfolio, invest_amount=10000000)
+portfolio_diagnose.optimize()
+if __name__ == '__main__':
+    print(portfolio_diagnose.single_fund_radar())
+    print(portfolio_diagnose.propose_fund_radar())
+    print(portfolio_diagnose.old_portfolio_evaluation())
+    print('旧组合相关性：', portfolio_diagnose.old_correlation)
+    print('新组合相关性：', portfolio_diagnose.new_correlation)
+    print('旧组合个基评价：', portfolio_diagnose.old_portfolio_evaluation())
+    print('新组合个基评价：', portfolio_diagnose.propose_fund_evaluation())
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