상세투자분석 계산로직 수정

backend/src/main/java/com/goldenchart/dto/BacktestAnalysisDto.java

@@ -11,6 +11,16 @@ public class BacktestAnalysisDto {
     // ── 기본 자본 ─────────────────────────────────────────────────────────────
     double initialCapital;
     double finalEquity;
+    /** 적용된 투자분석 방식 */
+    String analysisMethod;
+    /** 기말 예수금 */
+    double cashBalance;
+    /** 기말 보유주식 평가액 */
+    double holdingsValue;
+    /** 실현 손익 (청산 완료) */
+    double realizedPnl;
+    /** 평가 손익 (미청산 보유분) */
+    double unrealizedPnl;
 
     // ── 수익성 지표 ──────────────────────────────────────────────────────────
     /** 총 수익률 (소수, e.g. 0.152 = +15.2%) */

backend/src/main/java/com/goldenchart/dto/BacktestSettingsDto.java

@@ -99,4 +99,12 @@ public class BacktestSettingsDto {
     /** 분할 청산 비율 (%) */
     @Builder.Default
     private BigDecimal partialExitPct = new BigDecimal("50.000");
+
+    // ── 투자분석 방식 ──────────────────────────────────────────────────────────
+    /**
+     * MARK_TO_MARKET: 예수금 + 보유주식 시가평가 (표준 HTS 방식, 기본값)
+     * REALIZED_ONLY: 청산 완료 실현손익만 반영
+     */
+    @Builder.Default
+    private String analysisMethod = "MARK_TO_MARKET";
 }

backend/src/main/java/com/goldenchart/entity/GcBacktestSettings.java

@@ -119,6 +119,11 @@ public class GcBacktestSettings {
     @Builder.Default
     private BigDecimal partialExitPct = new BigDecimal("50.000");
 
+    /** MARK_TO_MARKET | REALIZED_ONLY */
+    @Column(name = "analysis_method", nullable = false, length = 32)
+    @Builder.Default
+    private String analysisMethod = "MARK_TO_MARKET";
+
     @Column(name = "created_at", nullable = false, updatable = false)
     private LocalDateTime createdAt;
 

backend/src/main/java/com/goldenchart/service/BacktestSettingsService.java

@@ -50,6 +50,10 @@ public class BacktestSettingsService {
         entity.setPartialExitPct(dto.getPartialExitPct());
         entity.setPositionMode(
                 "SIGNAL_ONLY".equals(dto.getPositionMode()) ? "SIGNAL_ONLY" : "LONG_ONLY");
+        entity.setAnalysisMethod(
+                PortfolioLedger.REALIZED_ONLY.equals(dto.getAnalysisMethod())
+                        ? PortfolioLedger.REALIZED_ONLY
+                        : PortfolioLedger.MARK_TO_MARKET);
 
         return toDto(repo.save(entity));
     }
@@ -79,6 +83,7 @@ public class BacktestSettingsService {
                 .partialExitEnabled(e.getPartialExitEnabled())
                 .partialExitPct(e.getPartialExitPct())
                 .positionMode(e.getPositionMode() != null ? e.getPositionMode() : "LONG_ONLY")
+                .analysisMethod(e.getAnalysisMethod() != null ? e.getAnalysisMethod() : PortfolioLedger.MARK_TO_MARKET)
                 .build();
     }
 }

backend/src/main/java/com/goldenchart/service/BacktestingService.java

@@ -145,6 +145,8 @@ public class BacktestingService {
         double  partialPct    = cfg.getPartialExitPct()  != null ? cfg.getPartialExitPct().doubleValue() / 100.0 : 0.5;
         boolean partialDone   = false;
 
+        boolean useLedger = "LONG".equals(direction);
+        PortfolioLedger ledger = useLedger ? new PortfolioLedger(initCap, cfg) : null;
         double equity = initCap;
         final double[] simGrossProfit = {0.0};
         final double[] simGrossLoss   = {0.0};
@@ -168,12 +170,15 @@ public class BacktestingService {
                             .time(time).type(sigType).price(effEntry).barIndex(i).build());
                     // 실제 포지션 추적은 LONG_ONLY 모드와 동일하게 유지 (수익 계산용)
                     if (!inPosition) {
-                        double shares = (equity * tradeSizePct) / effEntry;
+                        double shares = enterPosition(ledger, useLedger, equity, tradeSizePct,
-                        record.enter(i, series.numFactory().numOf(effEntry), series.numFactory().numOf(shares));
+                                effEntry, closePrice, record, i, series);
+                        if (shares > 0) {
                             entryPrice  = effEntry;
                             entryBarIdx = i;
                             inPosition  = true;
                             partialDone = false;
+                            if (useLedger) equity = ledger.portfolioValue(closePrice);
+                        }
                     }
                 } else if (exitOk) {
                     double effExit = applySlippage(exitPrice, cfg, false);
@@ -182,13 +187,9 @@ public class BacktestingService {
                             .time(time).type(sigType).price(effExit).barIndex(i).build());
                     // 수익 계산: 실제 포지션이 있을 때만
                     if (inPosition) {
-                        double commission = calcCommissionRate(cfg) * 2;
-                        double rawReturn  = "SHORT".equals(direction)
-                                ? (entryPrice - effExit) / entryPrice
-                                : (effExit - entryPrice) / entryPrice;
                         double size = partialDone ? (1.0 - partialPct) : 1.0;
-                        equity = applyEquityPnl(equity, tradeSizePct, size, rawReturn - commission,
+                        equity = applyExit(ledger, useLedger, equity, tradeSizePct, entryPrice, effExit,
-                                simGrossProfit, simGrossLoss);
+                                size, direction, cfg, simGrossProfit, simGrossLoss);
                         Num numExitPrice = series.numFactory().numOf(effExit);
                         Num numShares    = record.getCurrentPosition().getEntry().getAmount();
                         record.exit(i, numExitPrice, numShares);
@@ -210,33 +211,25 @@ public class BacktestingService {
 
                 if (doEnter) {
                     double effEntry = applySlippage(closePrice, cfg, true);
-                    double shares   = (equity * tradeSizePct) / effEntry;
+                    double shares = enterPosition(ledger, useLedger, equity, tradeSizePct,
-
+                            effEntry, closePrice, record, i, series);
-                    Num numPrice  = series.numFactory().numOf(effEntry);
+                    if (shares > 0) {
-                    Num numShares = series.numFactory().numOf(shares);
-                    record.enter(i, numPrice, numShares);
-
                         String sigType = "SHORT".equals(direction) ? "SHORT_ENTRY" : "BUY";
                         signals.add(Signal.builder()
                                 .time(time).type(sigType).price(effEntry).barIndex(i).build());
-
                         entryPrice  = effEntry;
                         entryBarIdx = i;
                         inPosition  = true;
                         partialDone = false;
+                        if (useLedger) equity = ledger.portfolioValue(closePrice);
+                    }
                 }
             } else {
                 // 분할 청산: exit 조건 처음 충족 시 일부만 청산
                 if (partialExit && !partialDone && exitRule.isSatisfied(i, record)) {
                     double effExit = applySlippage(exitPrice, cfg, false);
-                    double partShares  = record.getCurrentPosition().getEntry().getAmount().doubleValue() * partialPct;
+                    equity = applyExit(ledger, useLedger, equity, tradeSizePct, entryPrice, effExit,
-                    double partReturn  = "SHORT".equals(direction)
+                            partialPct, direction, cfg, simGrossProfit, simGrossLoss);
-                            ? (entryPrice - effExit) / entryPrice
-                            : (effExit - entryPrice) / entryPrice;
-                    double commission  = calcCommissionRate(cfg) * 2;
-                    equity = applyEquityPnl(equity, tradeSizePct, partialPct, partReturn - commission,
-                            simGrossProfit, simGrossLoss);
-
                     signals.add(Signal.builder()
                             .time(time).type("PARTIAL_SELL").price(effExit).barIndex(i).build());
                     partialDone = true;
@@ -245,15 +238,9 @@ public class BacktestingService {
 
                 if (exitRule.isSatisfied(i, record)) {
                     double effExit = applySlippage(exitPrice, cfg, false);
-                    double commission = calcCommissionRate(cfg) * 2;
-                    double rawReturn  = "SHORT".equals(direction)
-                            ? (entryPrice - effExit) / entryPrice
-                            : (effExit - entryPrice) / entryPrice;
-                    double netReturn  = rawReturn - commission;
-
                     double size = partialDone ? (1.0 - partialPct) : 1.0;
-                    equity = applyEquityPnl(equity, tradeSizePct, size, netReturn,
+                    equity = applyExit(ledger, useLedger, equity, tradeSizePct, entryPrice, effExit,
-                            simGrossProfit, simGrossLoss);
+                            size, direction, cfg, simGrossProfit, simGrossLoss);
 
                     Num numExitPrice  = series.numFactory().numOf(effExit);
                     Num numShares     = record.getCurrentPosition().getEntry().getAmount();
@@ -270,9 +257,15 @@ public class BacktestingService {
             }
         }
 
+        double lastMarkPrice = barCount > 0
+                ? series.getBar(barCount - 1).getClosePrice().doubleValue() : 0.0;
+        double finalEquity = resolveFinalEquity(ledger, useLedger, cfg, initCap, equity, inPosition,
+                entryPrice, lastMarkPrice, tradeSizePct, partialDone, partialPct, direction,
+                simGrossProfit, simGrossLoss);
+
         // ── AnalysisCriterion 전체 계산 ───────────────────────────────────────
-        BacktestAnalysisDto analysis = calcAnalysis(series, record, cfg, initCap, equity,
+        BacktestAnalysisDto analysis = calcAnalysis(series, record, cfg, initCap, finalEquity,
-                simGrossProfit[0], simGrossLoss[0]);
+                ledger, lastMarkPrice, simGrossProfit[0], simGrossLoss[0]);
 
         // ── Stats (하위 호환) ─────────────────────────────────────────────────
         Stats stats = toStats(analysis, signals);
@@ -292,15 +285,28 @@ public class BacktestingService {
 
     private BacktestAnalysisDto calcAnalysis(BarSeries series, TradingRecord record,
                                               BacktestSettingsDto cfg, double initCap, double finalEquity,
+                                              PortfolioLedger ledger, double lastMarkPrice,
                                               double simGrossProfit, double simGrossLoss) {
+        String analysisMethod = ledger != null
+                ? ledger.analysisMethod
+                : PortfolioLedger.normalizeMethod(cfg.getAnalysisMethod());
+        double cashBalance = ledger != null ? ledger.cash : 0.0;
+        double holdingsValue = ledger != null ? ledger.shares * lastMarkPrice : 0.0;
+        double realizedPnl = ledger != null ? ledger.realizedPnl : (simGrossProfit + simGrossLoss);
+        double unrealizedPnl = ledger != null ? ledger.unrealizedPnl(lastMarkPrice) : 0.0;
+        double grossProfit = ledger != null ? ledger.grossProfit : simGrossProfit;
+        double grossLoss   = ledger != null ? ledger.grossLoss : simGrossLoss;
+
         BacktestAnalysisDto.BacktestAnalysisDtoBuilder b = BacktestAnalysisDto.builder()
                 .initialCapital(initCap)
-                .finalEquity(finalEquity);
+                .finalEquity(finalEquity)
+                .analysisMethod(analysisMethod)
+                .cashBalance(cashBalance)
+                .holdingsValue(holdingsValue)
+                .realizedPnl(realizedPnl)
+                .unrealizedPnl(unrealizedPnl);
 
-        // equity 시뮬레이션 기준 총 수익률 — Ta4j criterion/fallback 은 개별 거래 수익률 합산으로 부정확
         double totalReturnPct = initCap > 0 ? (finalEquity - initCap) / initCap : 0.0;
-        double grossProfit    = simGrossProfit;
-        double grossLoss      = simGrossLoss;
         double avgReturnPct   = 0.0;
         double profitLossRatio = 0.0;
 
@@ -372,10 +378,66 @@ public class BacktestingService {
 
     // ── 개별 Criterion 계산 헬퍼 ─────────────────────────────────────────────
 
-    /**
+    private double enterPosition(PortfolioLedger ledger, boolean useLedger,
-     * equity 시뮬레이션에 체결 손익을 반영하고, 총 이익/총 손실 누적값을 갱신한다.
+                                 double equity, double tradeSizePct, double effEntry, double markPrice,
-     * @return 갱신된 equity
+                                 BaseTradingRecord record, int barIndex, BarSeries series) {
-     */
+        if (useLedger) {
+            double before = ledger.shares;
+            ledger.executeBuy(effEntry, markPrice);
+            double bought = ledger.shares - before;
+            if (bought <= 1e-12) return 0.0;
+            record.enter(barIndex, series.numFactory().numOf(effEntry),
+                    series.numFactory().numOf(bought));
+            return bought;
+        }
+        double shares = (equity * tradeSizePct) / effEntry;
+        if (shares <= 1e-12) return 0.0;
+        record.enter(barIndex, series.numFactory().numOf(effEntry),
+                series.numFactory().numOf(shares));
+        return shares;
+    }
+
+    private double applyExit(PortfolioLedger ledger, boolean useLedger, double equity, double tradeSizePct,
+                             double entryPrice, double effExit, double sellFraction, String direction,
+                             BacktestSettingsDto cfg, double[] grossProfitAcc, double[] grossLossAcc) {
+        if (useLedger) {
+            ledger.executeSell(effExit, sellFraction);
+            return ledger.portfolioValue(effExit);
+        }
+        double commission = calcCommissionRate(cfg) * 2;
+        double rawReturn  = "SHORT".equals(direction)
+                ? (entryPrice - effExit) / entryPrice
+                : (effExit - entryPrice) / entryPrice;
+        return applyEquityPnl(equity, tradeSizePct, sellFraction, rawReturn - commission,
+                grossProfitAcc, grossLossAcc);
+    }
+
+    private double resolveFinalEquity(PortfolioLedger ledger, boolean useLedger, BacktestSettingsDto cfg,
+                                      double initCap, double equity, boolean inPosition, double entryPrice,
+                                      double lastMarkPrice, double tradeSizePct, boolean partialDone,
+                                      double partialPct, String direction,
+                                      double[] grossProfitAcc, double[] grossLossAcc) {
+        if (useLedger && ledger != null) {
+            return ledger.resolveFinalEquity(lastMarkPrice);
+        }
+        String method = PortfolioLedger.normalizeMethod(cfg.getAnalysisMethod());
+        if (inPosition && lastMarkPrice > 0 && entryPrice > 0
+                && PortfolioLedger.MARK_TO_MARKET.equals(method)) {
+            double commission = calcCommissionRate(cfg) * 2;
+            double rawReturn  = "SHORT".equals(direction)
+                    ? (entryPrice - lastMarkPrice) / entryPrice
+                    : (lastMarkPrice - entryPrice) / entryPrice;
+            double size = partialDone ? (1.0 - partialPct) : 1.0;
+            return applyEquityPnl(equity, tradeSizePct, size, rawReturn - commission,
+                    grossProfitAcc, grossLossAcc);
+        }
+        if (PortfolioLedger.REALIZED_ONLY.equals(method)) {
+            return initCap + grossProfitAcc[0] + grossLossAcc[0];
+        }
+        return equity;
+    }
+
+    /** SHORT/레거시: 비율 기반 equity 갱신 */
     private double applyEquityPnl(double equity, double tradeSizePct, double size, double netReturn,
                                   double[] grossProfitAcc, double[] grossLossAcc) {
         double eqBefore = equity;

backend/src/main/java/com/goldenchart/service/PortfolioLedger.java

@@ -0,0 +1,125 @@
+package com.goldenchart.service;
+
+import com.goldenchart.dto.BacktestSettingsDto;
+
+/**
+ * 표준 주식 프로그램 방식의 포트폴리오 회계.
+ * <ul>
+ *   <li>MARK_TO_MARKET: 예수금 + 보유주식 시가평가 (평가손익 포함)</li>
+ *   <li>REALIZED_ONLY: 청산 완료 실현손익만 반영 (기말 미청산 평가 제외)</li>
+ * </ul>
+ */
+final class PortfolioLedger {
+
+    static final String MARK_TO_MARKET = "MARK_TO_MARKET";
+    static final String REALIZED_ONLY  = "REALIZED_ONLY";
+
+    final double initialCapital;
+    final String analysisMethod;
+    final BacktestSettingsDto cfg;
+
+    double cash;
+    double shares;
+    /** 현재 보유분 취득원가(수수료 포함) */
+    double costBasis;
+    double realizedPnl;
+    double grossProfit;
+    double grossLoss;
+
+    PortfolioLedger(double initialCapital, BacktestSettingsDto cfg) {
+        this.initialCapital = initialCapital;
+        this.cfg = cfg;
+        this.analysisMethod = normalizeMethod(cfg.getAnalysisMethod());
+        this.cash = initialCapital;
+    }
+
+    static String normalizeMethod(String raw) {
+        return REALIZED_ONLY.equalsIgnoreCase(raw) ? REALIZED_ONLY : MARK_TO_MARKET;
+    }
+
+    boolean hasPosition() {
+        return shares > 1e-12;
+    }
+
+    /** 평가금액 = 예수금 + 보유주식 평가액 */
+    double portfolioValue(double markPrice) {
+        return cash + shares * markPrice;
+    }
+
+    double unrealizedPnl(double markPrice) {
+        if (shares <= 1e-12) return 0.0;
+        return shares * markPrice - costBasis;
+    }
+
+    double resolveFinalEquity(double lastMarkPrice) {
+        if (REALIZED_ONLY.equals(analysisMethod)) {
+            return initialCapital + realizedPnl;
+        }
+        return cash + shares * lastMarkPrice;
+    }
+
+    /** LONG 매수 체결 */
+    void executeBuy(double effEntry, double markPriceForSizing) {
+        if (effEntry <= 0 || cash <= 0) return;
+        double commRate = commissionRate();
+        double orderAmount = computeOrderAmount(markPriceForSizing);
+        if (orderAmount <= 0) return;
+
+        double maxSpend = cash;
+        orderAmount = Math.min(orderAmount, maxSpend / (1 + commRate));
+        if (orderAmount <= 0) return;
+
+        double sharesToBuy = orderAmount / effEntry;
+        double totalCost = sharesToBuy * effEntry * (1 + commRate);
+        if (totalCost > cash + 1e-6) {
+            sharesToBuy = cash / (effEntry * (1 + commRate));
+            totalCost = sharesToBuy * effEntry * (1 + commRate);
+        }
+        if (sharesToBuy <= 1e-12) return;
+
+        cash -= totalCost;
+        shares += sharesToBuy;
+        costBasis += totalCost;
+    }
+
+    /** LONG 매도 체결 — sellFraction: 0~1 (전량=1) */
+    void executeSell(double effExit, double sellFraction) {
+        if (effExit <= 0 || shares <= 1e-12) return;
+        double fraction = Math.max(0.0, Math.min(1.0, sellFraction));
+        double sharesToSell = shares * fraction;
+        if (sharesToSell <= 1e-12) return;
+
+        double commRate = commissionRate();
+        double proceeds = sharesToSell * effExit * (1 - commRate);
+        double costPortion = costBasis * (sharesToSell / shares);
+        double pnl = proceeds - costPortion;
+
+        cash += proceeds;
+        realizedPnl += pnl;
+        if (pnl >= 0) grossProfit += pnl;
+        else grossLoss += pnl;
+
+        shares -= sharesToSell;
+        costBasis -= costPortion;
+        if (shares <= 1e-12) {
+            shares = 0;
+            costBasis = 0;
+        }
+    }
+
+    private double computeOrderAmount(double markPrice) {
+        double tradeSizePct = cfg.getTradeSizeValue() != null
+                ? cfg.getTradeSizeValue().doubleValue() / 100.0 : 1.0;
+        if ("FIXED_AMOUNT".equals(cfg.getTradeSizeType())) {
+            double fixed = cfg.getTradeSizeValue() != null ? cfg.getTradeSizeValue().doubleValue() : 0;
+            return Math.min(fixed, cash);
+        }
+        double equity = portfolioValue(markPrice);
+        return equity * tradeSizePct;
+    }
+
+    private double commissionRate() {
+        if ("ZERO".equals(cfg.getCommissionType())) return 0.0;
+        return cfg.getCommissionRate() != null ? cfg.getCommissionRate().doubleValue() : 0.0015;
+    }
+}

backend/src/main/resources/db/migration/V63__backtest_analysis_method.sql

@@ -0,0 +1,4 @@
+-- 투자분석 방식 설정 (평가손익 포함 / 실현손익만)
+ALTER TABLE gc_backtest_settings
+    ADD COLUMN analysis_method VARCHAR(32) NOT NULL DEFAULT 'MARK_TO_MARKET'
+        COMMENT '투자분석 방식 (MARK_TO_MARKET | REALIZED_ONLY)';

frontend/src/components/BacktestResultModal.tsx

@@ -20,6 +20,7 @@ import {
   WinRateCircle,
   CompareBar,
 } from './shared/analysisDashboardUi';
+import { analysisMethodLabel } from '../utils/analysisMethodLabels';
 
 const fmtDate = (ts: number) => {
   const d = new Date(ts * 1000);
@@ -104,6 +105,11 @@ export function BacktestDashboard({
             <span className="brd-dash-badge">{timeframe}</span>
             <span className="brd-dash-badge">{periodStr}</span>
             {createdAt && <span className="brd-dash-badge brd-dash-badge--time">실행 {fmtDateStr(createdAt)}</span>}
+            {a.analysisMethod && (
+              <span className="brd-dash-badge brd-dash-badge--method">
+                {analysisMethodLabel(a.analysisMethod)}
+              </span>
+            )}
           </div>
         </div>
         <div className={`brd-dash-header-kpi${reportMode ? ' brd-dash-header-kpi--report' : ''}`}>
@@ -141,6 +147,18 @@ export function BacktestDashboard({
           <div className="brd-card-body">
             <MetricRow label="총 수익률"        value={pct(a.totalReturnPct)}   cls={colorCls(a.totalReturnPct)}/>
             <MetricRow label="총 손익 (금액)"   value={wonFmt(a.totalProfitLoss)} cls={colorCls(a.totalProfitLoss)}/>
+            {a.realizedPnl != null && (
+              <MetricRow label="실현 손익" value={wonFmt(a.realizedPnl)} cls={colorCls(a.realizedPnl)} />
+            )}
+            {a.unrealizedPnl != null && a.unrealizedPnl !== 0 && (
+              <MetricRow label="평가 손익" value={wonFmt(a.unrealizedPnl)} cls={colorCls(a.unrealizedPnl)} />
+            )}
+            {a.cashBalance != null && a.cashBalance > 0 && (
+              <MetricRow label="기말 예수금" value={wonFmt(a.cashBalance)} />
+            )}
+            {a.holdingsValue != null && a.holdingsValue > 0 && (
+              <MetricRow label="보유 평가액" value={wonFmt(a.holdingsValue)} />
+            )}
             <MetricRow label="총 이익"           value={wonFmt(a.grossProfit)}   cls="brd-pos"/>
             <MetricRow label="총 손실"           value={wonFmt(a.grossLoss)}     cls="brd-neg"/>
             <MetricRow label="평균 수익률/거래"  value={pct(a.avgReturnPct)}     cls={colorCls(a.avgReturnPct)}/>

frontend/src/components/BacktestSettingsModal.tsx

@@ -15,6 +15,11 @@ interface FieldMeta {
 }
 
 const FIELD_META: Partial<Record<keyof BacktestSettingsDto, FieldMeta>> = {
+  analysisMethod: {
+    label: '투자분석 방식',
+    description:
+      '수익률·손익 산정 방식을 선택합니다.\n• 평가손익 포함(표준): 예수금 + 보유주식 시가평가. HTS 평가금액과 동일합니다.\n• 실현손익만: 청산 완료 거래의 실현손익만 반영합니다.',
+  },
   initialCapital: {
     label: '초기 자본',
     description:
@@ -129,6 +134,18 @@ interface SettingSection {
 }
 
 const SECTIONS: SettingSection[] = [
+  {
+    title: '📊 투자분석 방식',
+    fields: [
+      {
+        key: 'analysisMethod', type: 'select',
+        opts: [
+          { value: 'MARK_TO_MARKET', label: '평가손익 포함 (표준)' },
+          { value: 'REALIZED_ONLY', label: '실현손익만' },
+        ],
+      },
+    ],
+  },
   {
     title: '💰 자본 설정',
     fields: [

frontend/src/components/BacktestSettingsPanel.tsx

@@ -8,6 +8,7 @@ import {
   loadBacktestSettings,
   saveBacktestSettings,
 } from '../utils/backendApi';
+import { ANALYSIS_METHOD_OPTIONS } from '../utils/analysisMethodLabels';
 
 // ── 백테스팅 전용 UI 컴포넌트 ───────────────────────────────────────────────
 
@@ -106,6 +107,26 @@ export const BacktestSettingsPanel: React.FC<BacktestSettingsPanelProps> = ({
         </BtGrid>
       </BtSection>
 
+      <BtSection title="투자분석 방식">
+        <BtGrid>
+          <BtField
+            label="수익률 · 손익 산정"
+            desc="백테스팅, 알림 레포트, 분석레포트 등 모든 투자분석 결과에 동일하게 적용됩니다."
+            full
+          >
+            <select
+              className="stg-select stg-select--wide"
+              value={cfg.analysisMethod ?? 'MARK_TO_MARKET'}
+              onChange={e => field('analysisMethod', e.target.value as 'MARK_TO_MARKET' | 'REALIZED_ONLY')}
+            >
+              {ANALYSIS_METHOD_OPTIONS.map(o => (
+                <option key={o.value} value={o.value}>{o.label}</option>
+              ))}
+            </select>
+          </BtField>
+        </BtGrid>
+      </BtSection>
+
       <BtSection title="자본 · 거래 규모">
         <BtGrid>
           <BtField

frontend/src/components/TradeNotificationListPage.tsx

@@ -6,7 +6,7 @@ import type { Theme, TradeOrderFillRequest } from '../types';
 import type { TickerData } from '../hooks/useMarketTicker';
 import { useTradeNotification, type TradeNotificationItem } from '../contexts/TradeNotificationContext';
 import {
-  DEFAULT_BACKTEST_SETTINGS,
+  loadBacktestSettings,
   loadPaperSummary,
   loadStrategy,
   runBacktest,
@@ -271,6 +271,7 @@ export const TradeNotificationListPage: React.FC<Props> = ({
       }
 
       const strategyName = strategy.name || item.strategyName || '전략';
+      const btSettings = await loadBacktestSettings();
       const res = await runBacktest({
         strategyId: item.strategyId,
         bars: bars.map(b => ({
@@ -284,7 +285,7 @@ export const TradeNotificationListPage: React.FC<Props> = ({
         timeframe,
         symbol: market,
         strategyName,
-        settings: DEFAULT_BACKTEST_SETTINGS,
+        settings: btSettings,
         indicatorParams: Object.fromEntries(
           REPORT_INDICATOR_TYPES.map(t => [t, getParams(t) as Record<string, unknown>]),
         ),

frontend/src/components/paper/PaperAnalysisChart.tsx

@@ -1,7 +1,7 @@
 import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react';
 import BacktestAnalysisChart from '../backtest/BacktestAnalysisChart';
 import {
-  DEFAULT_BACKTEST_SETTINGS,
+  loadBacktestSettings,
   loadStrategy,
   runBacktest,
   type BacktestSignal,
@@ -82,6 +82,7 @@ const PaperAnalysisChart: React.FC<Props> = ({ market, strategyId, theme = 'dark
     setRunning(true);
     setError(null);
     try {
+      const btSettings = await loadBacktestSettings();
       const res = await runBacktest({
         strategyId: sid,
         bars: bars.map(b => ({
@@ -95,7 +96,7 @@ const PaperAnalysisChart: React.FC<Props> = ({ market, strategyId, theme = 'dark
         timeframe: tf,
         symbol: sym,
         strategyName: strat.name,
-        settings: DEFAULT_BACKTEST_SETTINGS,
+        settings: btSettings,
         indicatorParams: Object.fromEntries(
           ['RSI', 'MACD', 'CCI', 'SMA', 'EMA', 'IchimokuCloud', 'Stochastic', 'ADX', 'MFI', 'NewPsychological'].map(t => [
             t,

frontend/src/utils/analysisMethodLabels.ts

@@ -0,0 +1,23 @@
+export type AnalysisMethod = 'MARK_TO_MARKET' | 'REALIZED_ONLY';
+
+export const ANALYSIS_METHOD_OPTIONS: { value: AnalysisMethod; label: string; desc: string }[] = [
+  {
+    value: 'MARK_TO_MARKET',
+    label: '평가손익 포함 (표준)',
+    desc: '예수금 + 보유주식 시가평가. HTS·MTS 평가금액과 동일한 방식으로 수익률을 계산합니다.',
+  },
+  {
+    value: 'REALIZED_ONLY',
+    label: '실현손익만',
+    desc: '청산 완료된 거래의 실현손익만 반영합니다. 기말 미청산 포지션은 수익률에 포함하지 않습니다.',
+  },
+];
+
+export function normalizeAnalysisMethod(raw?: string | null): AnalysisMethod {
+  return raw === 'REALIZED_ONLY' ? 'REALIZED_ONLY' : 'MARK_TO_MARKET';
+}
+
+export function analysisMethodLabel(method?: string | null): string {
+  const m = normalizeAnalysisMethod(method);
+  return ANALYSIS_METHOD_OPTIONS.find(o => o.value === m)?.label ?? '평가손익 포함 (표준)';
+}

frontend/src/utils/backendApi.ts

@@ -1151,6 +1151,11 @@ export interface BacktestStats {
 export interface BacktestAnalysis {
   initialCapital:      number;
   finalEquity:         number;
+  analysisMethod?:     'MARK_TO_MARKET' | 'REALIZED_ONLY';
+  cashBalance?:        number;
+  holdingsValue?:      number;
+  realizedPnl?:        number;
+  unrealizedPnl?:      number;
   totalReturnPct:      number;
   totalProfitLoss:     number;
   grossProfit:         number;
@@ -1230,6 +1235,8 @@ export interface BacktestSettingsDto {
   partialExitPct:       number;
   /** "LONG_ONLY" | "SIGNAL_ONLY" — 매도 시그널 포지션 종속성 모드 */
   positionMode?:        'LONG_ONLY' | 'SIGNAL_ONLY';
+  /** MARK_TO_MARKET | REALIZED_ONLY — 투자분석 방식 */
+  analysisMethod?:      'MARK_TO_MARKET' | 'REALIZED_ONLY';
 }
 
 export const DEFAULT_BACKTEST_SETTINGS: BacktestSettingsDto = {
@@ -1253,6 +1260,7 @@ export const DEFAULT_BACKTEST_SETTINGS: BacktestSettingsDto = {
   partialExitEnabled:  false,
   partialExitPct:      50,
   positionMode:        'LONG_ONLY',
+  analysisMethod:      'MARK_TO_MARKET',
 };
 
 /** 백테스팅 설정 로드 */