대시보드 수정및 전략수정중

backend/app/api/endpoints/portfolio.py

@@ -62,6 +62,51 @@ class PortfolioCache:
     
     def mark_changed(self):
         self.change_flag = True
+
+    def apply_buy(self, stock_code: str, stock_name: str, quantity: int, price: float):
+        """매수 체결 즉시 캐시 반영 — KIS 재동기화 전까지 summary 수치 정확하게 유지"""
+        if self.summary is None:
+            self.mark_changed()
+            return
+        cost = quantity * price
+        # 예수금 차감
+        self.summary["available_cash"] = max(0.0, float(self.summary.get("available_cash", 0)) - cost)
+        # 주식 평가금액 증가
+        self.summary["total_value"] = float(self.summary.get("total_value", 0)) + cost
+        # 매입금액 증가
+        self.summary["total_investment"] = float(self.summary.get("total_investment", 0)) + cost
+        # 총 자산 = 예수금 + 주식평가 (재계산)
+        self.summary["total_assets"] = self.summary["available_cash"] + self.summary["total_value"]
+        # 평가손익 재계산
+        inv = self.summary["total_investment"]
+        val = self.summary["total_value"]
+        self.summary["total_profit_loss"] = val - inv
+        self.summary["total_profit_loss_rate"] = ((val - inv) / inv * 100) if inv > 0 else 0
+        self.summary["total_stocks"] = len([h for h in self.holdings if h.quantity > 0])
+        self.mark_changed()
+
+    def apply_sell(self, stock_code: str, quantity: int, price: float, avg_price: float):
+        """매도 체결 즉시 캐시 반영"""
+        if self.summary is None:
+            self.mark_changed()
+            return
+        proceeds = quantity * price
+        cost = quantity * avg_price
+        # 예수금 증가
+        self.summary["available_cash"] = float(self.summary.get("available_cash", 0)) + proceeds
+        # 주식 평가금액 감소
+        self.summary["total_value"] = max(0.0, float(self.summary.get("total_value", 0)) - proceeds)
+        # 매입금액 감소
+        self.summary["total_investment"] = max(0.0, float(self.summary.get("total_investment", 0)) - cost)
+        # 총 자산 = 예수금 + 주식평가
+        self.summary["total_assets"] = self.summary["available_cash"] + self.summary["total_value"]
+        # 평가손익 재계산
+        inv = self.summary["total_investment"]
+        val = self.summary["total_value"]
+        self.summary["total_profit_loss"] = val - inv
+        self.summary["total_profit_loss_rate"] = ((val - inv) / inv * 100) if inv > 0 else 0
+        self.summary["total_stocks"] = len([h for h in self.holdings if h.quantity > 0])
+        self.mark_changed()
     
     def should_sync(self) -> bool:
         now = datetime.now()
@@ -104,7 +149,8 @@ class PortfolioCache:
         total_stocks = len(holdings)
         total_value = sum(float(h.current_price or 0) * h.quantity for h in holdings)
         total_investment = sum(float(h.average_price or 0) * h.quantity for h in holdings)
-        total_profit_loss = sum(float(h.profit_loss or 0) for h in holdings)
+        # 평가손익은 현재가 기준으로 직접 계산 (KIS evlu_pfls_amt는 지연될 수 있음)
+        total_profit_loss = total_value - total_investment
         total_profit_loss_rate = (total_profit_loss / total_investment * 100) if total_investment > 0 else 0
         
         # KIS API output2에서 예수금 및 총자산 정보 추출

backend/app/api/endpoints/recommendations.py

@@ -276,6 +276,9 @@ async def get_rule_based_recommendations_from_db(db: AsyncSession):
     all_analyzed_stocks = []
     for s in raw_stocks:
         if s.stock_code not in seen:
+            # 전일 거래량 필터: 100만주 미만 종목 제외
+            if s.volume is not None and s.volume < 1_000_000:
+                continue
             seen.add(s.stock_code)
             all_analyzed_stocks.append(s)