diff --git a/analyzer/StockPriceDirectionAnalyzer.py b/analyzer/SPCorrelationAnalyzer.py
similarity index 92%
rename from analyzer/StockPriceDirectionAnalyzer.py
rename to analyzer/SPCorrelationAnalyzer.py
index 492e661..ba3924e 100644
--- a/analyzer/StockPriceDirectionAnalyzer.py
+++ b/analyzer/SPCorrelationAnalyzer.py
@@ -2,7 +2,7 @@ import os
 import sqlite3
 import pandas as pd
 
-class StockPriceDirectionAnalyzer:
+class SPCorrelationAnalyzer:
 
     stock_info = None
 
@@ -222,8 +222,16 @@ if __name__ == "__main__":
     RESOURCE_PATH = os.path.join(PROJECT_HOME, 'resources')
     stockFileName = os.path.join(RESOURCE_PATH, 'stock.db')
 
-    stockPriceDirectionAnalyzer = StockPriceDirectionAnalyzer(stockFileName)
-    corr_scores = stockPriceDirectionAnalyzer.analyze(master_code='122630')
+    spCorrelationAnalyzer = SPCorrelationAnalyzer(stockFileName)
+
+    # {"stock_code": "122630", "stock_name": "KODEX 레버리지"}
+    # {"stock_code": "252670", "stock_name": "KODEX 200선물인버스2X"}
+    # {"stock_code": "^NDX", "stock_name": "NASDAQ 100"}
+    # {"stock_code": "TQQQ", "stock_name": "ProShares UltraPro QQQ"}
+    # {"stock_code": "SQQQ", "stock_name": "ProShares UltraPro Short QQQ"}
+    # {"stock_code": "SOXL", "stock_name": "Direxion Daily Semiconductor Bull 3X Shares"}
+    # {"stock_code": "SOXS", "stock_name": "Direxion Daily Semiconductor Bear -3X Shares"}
+    corr_scores = spCorrelationAnalyzer.analyze(master_code='SOXS')
     corr_scores_list = sorted(corr_scores.items(), key=lambda item: item[1], reverse=True)
     for item in corr_scores_list:
         print("%s %4.3f" % (item[0], item[1]))