diff --git a/backend/main.py b/backend/main.py
index 70932a6..c7c2c7a 100644
--- a/backend/main.py
+++ b/backend/main.py
@@ -1975,3 +1975,207 @@ async def live_config_update(request: Request, user: dict = Depends(get_current_
         )
         updated.append(key)
     return {"updated": updated}
+
+
+# ─────────────────────────────────────────────
+# 策略广场 API
+# ─────────────────────────────────────────────
+
+import json as _json
+import os as _os
+import statistics as _statistics
+
+_STRATEGY_META = {
+    "v53": {
+        "display_name": "V5.3 标准版",
+        "cvd_windows": "30m / 4h",
+        "description": "标准版：30分钟+4小时CVD双轨，适配1小时信号周期",
+        "initial_balance": 10000,
+    },
+    "v53_fast": {
+        "display_name": "V5.3 Fast版",
+        "cvd_windows": "5m / 30m",
+        "description": "快速版：5分钟+30分钟CVD双轨，捕捉短期动量",
+        "initial_balance": 10000,
+    },
+    "v53_middle": {
+        "display_name": "V5.3 Middle版",
+        "cvd_windows": "15m / 1h",
+        "description": "中速版：15分钟+1小时CVD双轨，平衡噪音与时效",
+        "initial_balance": 10000,
+    },
+}
+
+
+async def _get_strategy_status(strategy_id: str) -> str:
+    """根据 paper_config 和最新心跳判断策略状态"""
+    config_path = _os.path.join(_os.path.dirname(__file__), "paper_config.json")
+    try:
+        with open(config_path) as f:
+            config = _json.load(f)
+        enabled = strategy_id in config.get("enabled_strategies", [])
+    except Exception:
+        enabled = False
+
+    if not enabled:
+        return "paused"
+
+    # 检查最近5分钟内是否有心跳
+    cutoff = int((__import__("time").time() - 300) * 1000)
+    row = await async_fetch(
+        "SELECT ts FROM signal_indicators WHERE strategy=$1 AND ts > $2 ORDER BY ts DESC LIMIT 1",
+        strategy_id, cutoff
+    )
+    if row:
+        return "running"
+    return "error"
+
+
+@app.get("/api/strategy-plaza")
+async def strategy_plaza(user: dict = Depends(get_current_user)):
+    """策略广场总览：返回所有策略卡片数据"""
+    now_ms = int(__import__("time").time() * 1000)
+    cutoff_24h = now_ms - 86400000
+
+    results = []
+    for sid, meta in _STRATEGY_META.items():
+        # 累计统计
+        rows = await async_fetch(
+            "SELECT pnl_r, entry_ts, exit_ts FROM paper_trades "
+            "WHERE strategy=$1 AND exit_ts IS NOT NULL",
+            sid
+        )
+        # 活跃持仓
+        open_rows = await async_fetch(
+            "SELECT COUNT(*) as cnt FROM paper_trades WHERE strategy=$1 AND exit_ts IS NULL",
+            sid
+        )
+        open_positions = int(open_rows[0]["cnt"]) if open_rows else 0
+
+        # 24h 统计
+        rows_24h = [r for r in rows if (r["exit_ts"] or 0) >= cutoff_24h]
+
+        pnl_rs = [float(r["pnl_r"]) for r in rows]
+        wins = [p for p in pnl_rs if p > 0]
+        losses = [p for p in pnl_rs if p <= 0]
+        net_r = round(sum(pnl_rs), 3)
+        net_usdt = round(net_r * 200, 0)
+
+        pnl_rs_24h = [float(r["pnl_r"]) for r in rows_24h]
+        pnl_r_24h = round(sum(pnl_rs_24h), 3)
+        pnl_usdt_24h = round(pnl_r_24h * 200, 0)
+
+        std_r = round(_statistics.stdev(pnl_rs), 3) if len(pnl_rs) > 1 else 0.0
+
+        started_at = min(r["entry_ts"] for r in rows) if rows else now_ms
+        last_trade_at = max(r["exit_ts"] for r in rows if r["exit_ts"]) if rows else None
+
+        status = await _get_strategy_status(sid)
+
+        results.append({
+            "id": sid,
+            "display_name": meta["display_name"],
+            "status": status,
+            "started_at": started_at,
+            "initial_balance": meta["initial_balance"],
+            "current_balance": meta["initial_balance"] + int(net_usdt),
+            "net_usdt": int(net_usdt),
+            "net_r": net_r,
+            "trade_count": len(pnl_rs),
+            "win_rate": round(len(wins) / len(pnl_rs) * 100, 1) if pnl_rs else 0.0,
+            "avg_win_r": round(sum(wins) / len(wins), 3) if wins else 0.0,
+            "avg_loss_r": round(sum(losses) / len(losses), 3) if losses else 0.0,
+            "open_positions": open_positions,
+            "pnl_usdt_24h": int(pnl_usdt_24h),
+            "pnl_r_24h": pnl_r_24h,
+            "std_r": std_r,
+            "last_trade_at": last_trade_at,
+        })
+
+    return {"strategies": results}
+
+
+@app.get("/api/strategy-plaza/{strategy_id}/summary")
+async def strategy_plaza_summary(strategy_id: str, user: dict = Depends(get_current_user)):
+    """策略详情 summary：卡片数据 + 详情字段"""
+    if strategy_id not in _STRATEGY_META:
+        from fastapi import HTTPException
+        raise HTTPException(status_code=404, detail="Strategy not found")
+
+    # 先拿广场数据
+    plaza_data = await strategy_plaza(user)
+    card = next((s for s in plaza_data["strategies"] if s["id"] == strategy_id), None)
+    if not card:
+        from fastapi import HTTPException
+        raise HTTPException(status_code=404, detail="Strategy not found")
+
+    meta = _STRATEGY_META[strategy_id]
+
+    # 读策略 JSON 获取权重和阈值
+    strategy_file = _os.path.join(_os.path.dirname(__file__), "strategies", f"{strategy_id}.json")
+    weights = {}
+    thresholds = {}
+    symbols = []
+    try:
+        with open(strategy_file) as f:
+            cfg = _json.load(f)
+        weights = {
+            "direction": cfg.get("direction_weight", 55),
+            "crowding": cfg.get("crowding_weight", 25),
+            "environment": cfg.get("environment_weight", 15),
+            "auxiliary": cfg.get("auxiliary_weight", 5),
+        }
+        thresholds = {
+            "signal_threshold": cfg.get("threshold", 75),
+            "flip_threshold": cfg.get("flip_threshold", 85),
+        }
+        symbols = list(cfg.get("symbol_gates", {}).keys())
+    except Exception:
+        pass
+
+    return {
+        **card,
+        "cvd_windows": meta["cvd_windows"],
+        "description": meta["description"],
+        "symbols": symbols,
+        "weights": weights,
+        "thresholds": thresholds,
+    }
+
+
+@app.get("/api/strategy-plaza/{strategy_id}/signals")
+async def strategy_plaza_signals(
+    strategy_id: str,
+    limit: int = 50,
+    user: dict = Depends(get_current_user)
+):
+    """策略信号列表（复用现有逻辑，加 strategy 过滤）"""
+    if strategy_id not in _STRATEGY_META:
+        from fastapi import HTTPException
+        raise HTTPException(status_code=404, detail="Strategy not found")
+    rows = await async_fetch(
+        "SELECT ts, symbol, score, signal, price, factors, cvd_5m, cvd_15m, cvd_30m, cvd_1h, cvd_4h, atr_value "
+        "FROM signal_indicators WHERE strategy=$1 ORDER BY ts DESC LIMIT $2",
+        strategy_id, limit
+    )
+    return {"signals": [dict(r) for r in rows]}
+
+
+@app.get("/api/strategy-plaza/{strategy_id}/trades")
+async def strategy_plaza_trades(
+    strategy_id: str,
+    limit: int = 50,
+    user: dict = Depends(get_current_user)
+):
+    """策略交易记录（复用现有逻辑，加 strategy 过滤）"""
+    if strategy_id not in _STRATEGY_META:
+        from fastapi import HTTPException
+        raise HTTPException(status_code=404, detail="Strategy not found")
+    rows = await async_fetch(
+        "SELECT id, symbol, direction, score, tier, entry_price, exit_price, "
+        "tp1_price, tp2_price, sl_price, tp1_hit, pnl_r, risk_distance, "
+        "entry_ts, exit_ts, status, strategy "
+        "FROM paper_trades WHERE strategy=$1 ORDER BY entry_ts DESC LIMIT $2",
+        strategy_id, limit
+    )
+    return {"trades": [dict(r) for r in rows]}