반복적인 IPC 오류 해결, 봇 오류 해결, 인증 오류 해결, 서버 자원 할당 오류 해결, 코드 리팩토링

backtester.py

@@ -2,9 +2,8 @@ import pandas as pd
 import numpy as np
 import yfinance as yf
 import matplotlib.pyplot as plt
-from analysis_module import TechnicalAnalyzer
-from ai_predictor import PricePredictor
-import torch
+from modules.analysis.technical import TechnicalAnalyzer
+from modules.analysis.deep_learning import PricePredictor
 
 class Backtester:
     def __init__(self, ticker, start_date, end_date, initial_capital=10000000):
@@ -92,7 +91,7 @@ class Backtester:
                 current_window_list = list(history_window)
             
             # 1. 기술적 분석
-            tech_score, rsi, volatility = TechnicalAnalyzer.get_technical_score(today_price, current_window_list)
+            tech_score, rsi, volatility, vol_ratio, ma_info = TechnicalAnalyzer.get_technical_score(today_price, current_window_list)
             
             # 2. AI 예측 (Online Learning Simulation)
             # 매일 재학습하면 너무 느리므로, 5일에 한번씩만 학습한다고 가정 (타협)