diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4fef2a5..7e085cd 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -28,6 +28,8 @@
 - 收尾核算（`research/sim/bm_econ.py`，按 Tuning 常量算期望）：Ponero 来回 15.4%，与混币器洗掉 80% 污点的 15–18% 相当，但当天完成、清得彻底、不受制裁，所以手续费 8% → 10%（来回 19%），日额度 1000 → 600（日额度按钱包污点占比估，约够清掉稳态的污点流入，后期会成为瓶颈）；出售的最优倍率取决于玩家的资金机会成本：每天 1% 时 ×1.8，2–3% 时 ×1.5，倍率不是越高越好；订单：托管期望净 +0.02、提前放款 +0.07（现货 −0.30），所以订单是便宜进货，不是赚钱路线；订单进货再挂高价出售的套利每件约 +0.13–0.18（20 天一轮，资金占用），量小，暂不限制上架数。
 - 订单改成商家货架（用户意见）：黑市页"订单"改名"商家"，每周从 6 种类型里抽 5 家（全新矿卡经销商、二手矿卡贩子、模组高科技、军火、证件芯片、药物），另有 25% 的周出现一家大宗商家（库存 10–25 件、价格系数 0.55–0.75、送货 6 天）。每家有自己的价格系数（订单价 = 基础价 × 系数，一般 0.70–0.95，全新卡 0.85–1.00，二手卡 0.65–0.90），每家 4 种货、库存 3–6 件。一次订 5 件以上 95 折、10 件以上 9 折。界面：件数按钮 ×1 / ×5 / ×10，商家按钮，所选商家的货架。药物（药片、梦尘、管制化学品）只在药物商家和大宗商家出现，也能转手出售。每周货架总值在游戏里抽样 60 周平均 13.2k（目标 1.4 万）。
 - 商家类型扩到 18 种 + 大宗（用户意见，对照游戏的物品目录和玩家职业）：全新矿卡经销商、二手矿卡贩子、矿架与能源、模组、军火（枪、手雷、炸药、刀具、电击枪）、枪匠配件（枪械配件、3D 打印芯片与模组、枪械零件）、证件芯片、药物（药片、注射器、血袋、手术工具）、化学品（化学用品、助熔剂、化学设备模组、量筒试剂瓶）、酿酒（酵母、荧光莓、啤酒、酒瓶）、水培农场（种子、水培模组、植物分析仪）、养殖（鱼卵、鱼子酱、循环水养殖系统、血清、屠宰机）、矿工（矿石、金属锭、电子元件、拾荒扫描仪）、水务（滤水、净水、储水、检测）、仓储（走私暗格、储藏区扩建、军用背包）、工具（涡轮增压器、等离子切割机、X 射线扫描仪、心智重编程器）、奢侈品（香水、精华液、香烟）。每周 7 家：2 家从矿卡 / 矿架 / 模组 4 类里抽（保证矿工路线总有货），其余 5 家从其余类型里抽；每家 3 种货，库存 2–5 件，单件基础价超过 4000 的不上。游戏里抽样 60 周货架总值平均 13.2k（目标 1.4 万）。药物改成并入药物商家，现货柜台的货不变。所有货都能转手出售。
+- 尖端店铺与个人卖家（用户意见）：贵货（单件基础价 ≥ 2000：超科技涡轮增压器、超科技储藏区、心智重编程器、顶级显卡等）不再被一刀切掉，改由"尖端店铺"卖：每周只有 15% 的概率出现，2 种货、库存 1–2 件、价格系数 0.85–1.00、送货 5 天；顶级全新显卡也在这里。个人卖家：每周固定 2 位，什么都卖（可能是药、模组、显卡、仍有 10% 混进贵货），每件价格系数各自随机 0.50–1.20（捡漏或被宰），库存 1–2 件，是骗子的概率 25%，都是新号所以只接受托管。常规商家仍只卖基础价 ≤ 4000 的货。
+- 每周货架总值放宽到 2 万左右（用户意见）：库存范围 2–5 → 2–6，游戏里抽样 60 周平均 22.2k，尖端店铺出现概率保持 15% 不变，不靠它拉高周转量。
 - 同时上架最多 10 件（用户意见），出售页显示"上架 n/10"，超出时提示。
 - 出售：货款污点随近 7 天成交额加重（成交额达 1.4 万时概率与比例各加 30%）；出售页加"全部上架"按钮。套利核算（`bm_econ.py`，商家系数均值 0.825 再加批量折扣）：普通商家提前放款进货 + ×1.5 出售每件约 +21%，大宗商家约 +33%，一周可买的货约 1.3 万，带污点的货款约够吃满 Ponero 日额度。
 - 调整（用户意见）：Ponero 手续费 10% → 6%（一进一出约 12%），日额度 600 → 1000；混币器每轮手续费 4% → 3%。黑市货架上的显卡有 15% 是全新卡（成色 100，封条完好，不会是假卡），标签显示"全新"。全新卡只有单元测试，没有在游戏里见过。
diff --git a/src/Decentralized.Domain/BmOrders.cs b/src/Decentralized.Domain/BmOrders.cs
index 16197ac..902f9b8 100644
--- a/src/Decentralized.Domain/BmOrders.cs
+++ b/src/Decentralized.Domain/BmOrders.cs
@@ -5,8 +5,8 @@ using System.Linq;
 namespace Decentralized.Domain
 {
     public enum PayMode { Escrow, Advance }
-    /// <summary>商家类型：矿卡（全新 / 二手）、矿架能源、模组、军火、枪匠配件、证件芯片、药物、化学、酿酒、水培、养殖、矿工、水务、仓储、工具、奢侈品；大宗商家随机出现。</summary>
-    public enum MerchantType { GpuNew, GpuUsed, Rigs, Modules, Arms, GunMods, Docs, Pharma, Chem, Brewer, Farm, Husbandry, Miner, Water, Storage, Tools, Luxury, Bulk }
+    /// <summary>商家类型：矿卡（全新 / 二手）、矿架能源、模组、军火、枪匠配件、证件芯片、药物、化学、酿酒、水培、养殖、矿工、水务、仓储、工具、奢侈品；大宗商家、尖端店铺（只卖贵货，概率低）、个人卖家（什么都卖，价格随心所欲）随机出现。</summary>
+    public enum MerchantType { GpuNew, GpuUsed, Rigs, Modules, Arms, GunMods, Docs, Pharma, Chem, Brewer, Farm, Husbandry, Miner, Water, Storage, Tools, Luxury, Bulk, Elite, Personal }
     public enum OrderState { Pending, Ready, Done, Refunded, Lost }
 
     /// <summary>黑市上的卖家：成交数与好评率公开；是不是骗子是隐藏的。</summary>
@@ -19,7 +19,7 @@ namespace Decentralized.Domain
         public MerchantType Type;
         /// <summary>商家的价格系数（订单价 = 基础价 × 系数，各家不同）。</summary>
         public double Factor;
-        public int Days => Type == MerchantType.Bulk ? Tuning.BmBulkDays : Tuning.BmDoorDays;
+        public int Days => Type == MerchantType.Bulk ? Tuning.BmBulkDays : Type == MerchantType.Elite ? Tuning.BmEliteDays : Tuning.BmDoorDays;
         /// <summary>只有成交数够多的卖家才接受提前放款。</summary>
         public bool Advance => Trades >= Tuning.BmAdvanceMinTrades;
     }
@@ -111,36 +111,53 @@ namespace Decentralized.Domain
 
         private static double F(Rng rng, double lo, double hi) => lo + rng.NextDouble() * (hi - lo);
 
-        /// <summary>商家类型对应的货（含货种、库存），违禁品按声望放开等级。</summary>
+        private static List<BmEntry> AllEntries() => Merchants.Table.Values.SelectMany(x => x).GroupBy(x => x.Id).Select(g => g.First()).ToList();
+
+        private static string[] HighGpus => Hardware.Specs.Values.Where(x => !x.Asic && !x.Scrap && x.Tier >= 3).Select(x => x.Model).ToArray();
+
+        /// <summary>商家类型对应的货（含货种、库存），违禁品按声望放开等级。个人卖家什么都卖、每件各自定价；尖端店铺只卖贵货。</summary>
         private List<BmListing> MerchantGoods(int idx, BmSeller s, int day, int rep, Rng rng, Func<string, long> value)
         {
             var list = new List<BmListing>();
-            int n = s.Type == MerchantType.Bulk ? 2 : Tuning.BmMerchantListings;
             bool gpuKind = s.Type == MerchantType.GpuNew || s.Type == MerchantType.GpuUsed;
-            var entries = s.Type == MerchantType.Bulk ? Merchants.Table.Values.SelectMany(x => x).GroupBy(x => x.Id).Select(g => g.First()).ToList()
-                : gpuKind ? new List<BmEntry>() : Merchants.Table[s.Type].ToList();
+            int n = s.Type == MerchantType.Bulk ? 2 : s.Type == MerchantType.Elite ? Tuning.BmEliteListings : s.Type == MerchantType.Personal ? Tuning.BmPersonalListings : Tuning.BmMerchantListings;
+            List<BmEntry> entries = gpuKind ? new List<BmEntry>() : s.Type == MerchantType.Bulk || s.Type == MerchantType.Personal || s.Type == MerchantType.Elite ? AllEntries() : Merchants.Table[s.Type].ToList();
             entries = entries.Where(e => e.Kind != GoodKind.Contraband || e.Level <= MaxLevel(rep)).ToList();
             var gpus = UsedDealers.Pool(day);
             for (int i = 0; i < n; i++)
             {
-                int qty = s.Type == MerchantType.Bulk ? rng.Range(Tuning.BmBulkQtyMin, Tuning.BmBulkQtyMax) : s.Type == MerchantType.GpuNew ? rng.Range(Math.Max(1, Tuning.BmQtyMin - 1), Tuning.BmQtyMax - 2) : rng.Range(Tuning.BmQtyMin, Tuning.BmQtyMax);
-                double jitter = F(rng, 0.97, 1.03);
-                BmListing l;
-                if (gpuKind)
+                int qty = s.Type == MerchantType.Bulk ? rng.Range(Tuning.BmBulkQtyMin, Tuning.BmBulkQtyMax)
+                    : s.Type == MerchantType.Elite ? rng.Range(1, Tuning.BmEliteQtyMax)
+                    : s.Type == MerchantType.Personal ? rng.Range(1, Tuning.BmPersonalQtyMax)
+                    : s.Type == MerchantType.GpuNew ? rng.Range(Math.Max(1, Tuning.BmQtyMin - 1), Tuning.BmQtyMax - 2) : rng.Range(Tuning.BmQtyMin, Tuning.BmQtyMax);
+                double factor = s.Type == MerchantType.Personal ? F(rng, Tuning.BmPersonalFactorMin, Tuning.BmPersonalFactorMax) : s.Factor * F(rng, 0.97, 1.03);
+                BmListing l = null;
+                bool eliteGpu = s.Type == MerchantType.Elite && rng.Chance(0.4);
+                bool personalGpu = s.Type == MerchantType.Personal && rng.Chance(0.15);
+                if (gpuKind || eliteGpu || personalGpu)
                 {
-                    bool fresh = s.Type == MerchantType.GpuNew;
-                    var c = UsedDealers.Card(gpus, fresh ? 0 : Tuning.BmGpuFake, 0, rng);
+                    bool fresh = s.Type == MerchantType.GpuNew || eliteGpu || (personalGpu && rng.Chance(0.3));
+                    var pool = eliteGpu ? HighGpus : gpus;
+                    var c = UsedDealers.Card(pool, fresh ? 0 : Tuning.BmGpuFake, 0, rng);
                     if (fresh) c.Health = 100;
-                    l = new BmListing { Item = "gpu:" + c.Model, Kind = GoodKind.Gpu, Level = 2, Model = c.Model, FakeOf = c.FakeOf, Health = c.Health, Price = (int)Math.Max(1, Math.Round(CardValue.Of(c.Model, c.Health) * s.Factor * jitter)) };
+                    l = new BmListing { Item = "gpu:" + c.Model, Kind = GoodKind.Gpu, Level = 2, Model = c.Model, FakeOf = c.FakeOf, Health = c.Health, Price = (int)Math.Max(1, Math.Round(CardValue.Of(c.Model, c.Health) * factor)) };
                 }
                 else
                 {
-                    if (entries.Count == 0) break;
-                    int k = rng.Range(0, entries.Count - 1);
-                    var e = entries[k]; entries.RemoveAt(k);
-                    long v = value(e.Id);
-                    if (v <= 0 || v > Tuning.BmMaxUnitValue) { i--; continue; }
-                    l = new BmListing { Item = e.Id, Kind = e.Kind, Level = e.Level, Price = (int)Math.Max(1, Math.Round(v * s.Factor * jitter)) };
+                    bool wantElite = s.Type == MerchantType.Elite || (s.Type == MerchantType.Personal && rng.Chance(Tuning.BmPersonalEliteShare));
+                    BmEntry pick = default; long v = 0; bool found = false;
+                    for (int tries = 0; tries < 40 && entries.Count > 0 && !found; tries++)
+                    {
+                        int k = rng.Range(0, entries.Count - 1);
+                        var e = entries[k];
+                        long val = value(e.Id);
+                        if (val <= 0) { entries.RemoveAt(k); continue; }
+                        bool ok = s.Type == MerchantType.Elite ? val >= Tuning.BmEliteMinValue : wantElite ? val > Tuning.BmMaxUnitValue : val <= Tuning.BmMaxUnitValue;
+                        if (!ok) continue;
+                        pick = e; v = val; found = true; entries.RemoveAt(k);
+                    }
+                    if (!found) continue;
+                    l = new BmListing { Item = pick.Id, Kind = pick.Kind, Level = pick.Level, Price = (int)Math.Max(1, Math.Round(v * factor)) };
                 }
                 l.Seller = idx; l.Qty = qty;
                 list.Add(l);
@@ -155,18 +172,21 @@ namespace Decentralized.Domain
             var types = Core.OrderBy(_ => rng.NextDouble()).Take(Tuning.BmCoreMerchants).ToList();
             types.AddRange(Others.OrderBy(_ => rng.NextDouble()).Take(Tuning.BmMerchantCount - Tuning.BmCoreMerchants));
             if (rng.Chance(Tuning.BmBulkChance)) types.Add(MerchantType.Bulk);
+            if (rng.Chance(Tuning.BmEliteChance)) types.Add(MerchantType.Elite);
+            for (int i = 0; i < Tuning.BmPersonalCount; i++) types.Add(MerchantType.Personal);
             foreach (var t in types)
             {
-                bool scam = rng.Chance(Tuning.BmScamSellerShare);
-                // 骗子多半是新号，也有刷过好评的老号
-                bool fresh = scam ? rng.Chance(0.6) : rng.Chance(0.25);
-                double lo = t == MerchantType.GpuNew ? Tuning.BmFactorNewMin : t == MerchantType.GpuUsed ? Tuning.BmFactorUsedMin : t == MerchantType.Bulk ? Tuning.BmFactorBulkMin : Tuning.BmFactorMin;
-                double hi = t == MerchantType.GpuNew ? Tuning.BmFactorNewMax : t == MerchantType.GpuUsed ? Tuning.BmFactorUsedMax : t == MerchantType.Bulk ? Tuning.BmFactorBulkMax : Tuning.BmFactorMax;
+                bool personal = t == MerchantType.Personal;
+                bool scam = rng.Chance(personal ? Tuning.BmPersonalScam : Tuning.BmScamSellerShare);
+                // 骗子多半是新号，也有刷过好评的老号；个人卖家都是新号
+                bool fresh = personal || (scam ? rng.Chance(0.6) : rng.Chance(0.25));
+                double lo = t == MerchantType.Elite ? Tuning.BmFactorEliteMin : t == MerchantType.GpuNew ? Tuning.BmFactorNewMin : t == MerchantType.GpuUsed ? Tuning.BmFactorUsedMin : t == MerchantType.Bulk ? Tuning.BmFactorBulkMin : Tuning.BmFactorMin;
+                double hi = t == MerchantType.Elite ? Tuning.BmFactorEliteMax : t == MerchantType.GpuNew ? Tuning.BmFactorNewMax : t == MerchantType.GpuUsed ? Tuning.BmFactorUsedMax : t == MerchantType.Bulk ? Tuning.BmFactorBulkMax : Tuning.BmFactorMax;
                 var s = new BmSeller
                 {
                     Name = NameA[rng.Range(0, NameA.Length - 1)] + "_" + NameB[rng.Range(0, NameB.Length - 1)] + rng.Range(1, 99),
-                    Scam = scam, Type = t, Factor = F(rng, lo, hi),
-                    Trades = fresh ? rng.Range(1, 12) : rng.Range(25, 220),
+                    Scam = scam, Type = t, Factor = personal ? 1.0 : F(rng, lo, hi),
+                    Trades = fresh ? rng.Range(0, 12) : rng.Range(25, 220),
                     Rating = scam && !fresh ? rng.Range(94, 99) : fresh ? rng.Range(70, 100) : rng.Range(90, 99),
                 };
                 Sellers.Add(s);
diff --git a/src/Decentralized.Domain/Tuning.cs b/src/Decentralized.Domain/Tuning.cs
index 1ebef79..d9edb71 100644
--- a/src/Decentralized.Domain/Tuning.cs
+++ b/src/Decentralized.Domain/Tuning.cs
@@ -108,10 +108,17 @@ namespace Decentralized.Domain
         public const int BmSaleHold = 3, BmRatingStart = 90, BmRatingFakeLoss = 10, BmMaxListings = 10;
         /// <summary>商家货架：每周的商家数（其中 2 家从矿卡 / 矿架 / 模组 4 类里抽，其余从其他类型里抽）、每家的货种数、每种货的库存范围；大宗商家出现概率、库存范围、送货天数；
         /// 各类商家的价格系数范围（订单价 = 基础价 × 系数）；批量折扣档（件数、折扣）。</summary>
-        public const int BmMerchantCount = 7, BmCoreMerchants = 2, BmMerchantListings = 3, BmQtyMin = 2, BmQtyMax = 5, BmBulkQtyMin = 10, BmBulkQtyMax = 25, BmBulkDays = 6;
+        public const int BmMerchantCount = 7, BmCoreMerchants = 2, BmMerchantListings = 3, BmQtyMin = 2, BmQtyMax = 6, BmBulkQtyMin = 10, BmBulkQtyMax = 25, BmBulkDays = 6;
         public const double BmBulkChance = 0.25, BmFactorMin = 0.70, BmFactorMax = 0.95, BmFactorNewMin = 0.85, BmFactorNewMax = 1.00, BmFactorUsedMin = 0.65, BmFactorUsedMax = 0.90, BmFactorBulkMin = 0.55, BmFactorBulkMax = 0.75;
         /// <summary>商家货架上单件基础价的上限（过贵的货不上，免得一件把周转量撑歪）。</summary>
         public const long BmMaxUnitValue = 4000;
+        /// <summary>尖端店铺：每周出现概率、货种数、库存范围、单件基础价下限、价格系数范围、送货天数。</summary>
+        public const double BmEliteChance = 0.15, BmFactorEliteMin = 0.85, BmFactorEliteMax = 1.00;
+        public const int BmEliteListings = 2, BmEliteQtyMax = 2, BmEliteDays = 5;
+        public const long BmEliteMinValue = 2000;
+        /// <summary>个人卖家：每周家数、货种数、库存上限、每件的价格系数范围（各件独立随机）、是骗子的概率、混进尖端货的概率。</summary>
+        public const int BmPersonalCount = 2, BmPersonalListings = 3, BmPersonalQtyMax = 2;
+        public const double BmPersonalFactorMin = 0.50, BmPersonalFactorMax = 1.20, BmPersonalScam = 0.25, BmPersonalEliteShare = 0.10;
         public const int BmBulk1Count = 5, BmBulk2Count = 10;
         public const double BmBulk1Discount = 0.05, BmBulk2Discount = 0.10;
         /// <summary>出售量越大货款越容易带污点：近 7 天成交额达到参考量时，污点概率与比例各加最多 BmVolumeTaintMax。</summary>
diff --git a/src/Decentralized/BlackDelivery.cs b/src/Decentralized/BlackDelivery.cs
index 20a0e2a..8368a5a 100644
--- a/src/Decentralized/BlackDelivery.cs
+++ b/src/Decentralized/BlackDelivery.cs
@@ -20,12 +20,15 @@ namespace Decentralized
             ModHook.OnGenerateCustomerNormal -= OnGenerate;
         }
 
+        private static readonly System.Collections.Generic.Dictionary<string, long> ValueCache = new System.Collections.Generic.Dictionary<string, long>();
+
         public static long Value(string id)
         {
+            if (ValueCache.TryGetValue(id, out var cached)) return cached;
             var it = ModHelper.SpawnItem(id);
-            if (it == null) return 0;
-            long v = it.GetBaseValue();
-            it.Destroy();
+            long v = 0;
+            if (it != null) { v = it.GetBaseValue(); it.Destroy(); }
+            ValueCache[id] = v;
             return v;
         }
 
diff --git a/src/Decentralized/ModFiles/Localization/en.csv b/src/Decentralized/ModFiles/Localization/en.csv
index 20e1c3a..170b65e 100644
--- a/src/Decentralized/ModFiles/Localization/en.csv
+++ b/src/Decentralized/ModFiles/Localization/en.csv
@@ -332,3 +332,5 @@ merchant.Storage,Storage
 merchant.Tools,Tools
 merchant.Luxury,Luxury
 black.kind.Goods,Goods
+merchant.Elite,Elite shop
+merchant.Personal,Private seller
diff --git a/src/Decentralized/ModFiles/Localization/zh.csv b/src/Decentralized/ModFiles/Localization/zh.csv
index 3ef9ee3..9fb7e5e 100644
--- a/src/Decentralized/ModFiles/Localization/zh.csv
+++ b/src/Decentralized/ModFiles/Localization/zh.csv
@@ -331,3 +331,5 @@ merchant.Storage,仓储
 merchant.Tools,工具
 merchant.Luxury,奢侈品
 black.kind.Goods,商品
+merchant.Elite,尖端店铺
+merchant.Personal,个人卖家
diff --git a/tests/Decentralized.Domain.Tests/Program.cs b/tests/Decentralized.Domain.Tests/Program.cs
index 94cbd87..7e30973 100644
--- a/tests/Decentralized.Domain.Tests/Program.cs
+++ b/tests/Decentralized.Domain.Tests/Program.cs
@@ -591,7 +591,7 @@ internal static class Program
             Func<string, long> value = id => 200;
             var bm = new BlackMarket();
             bm.RefreshOrders(10, 75, new Rng(5), value);
-            Check(bm.Sellers.Count >= Tuning.BmMerchantCount && bm.Catalog.Count > 0 && bm.Catalog.All(l => l.Qty > 0 && l.Price >= 1) && bm.Catalog.Where(l => l.Kind != GoodKind.Gpu).All(l => l.Price >= 200 * bm.Sellers[l.Seller].Factor * 0.97 - 1 && l.Price <= 200 * bm.Sellers[l.Seller].Factor * 1.03 + 1), "目录：商家与单价（基础价 × 商家系数）");
+            Check(bm.Sellers.Count >= Tuning.BmMerchantCount && bm.Catalog.Count > 0 && bm.Catalog.All(l => l.Qty > 0 && l.Price >= 1) && bm.Catalog.Where(l => l.Kind != GoodKind.Gpu && bm.Sellers[l.Seller].Type != MerchantType.Personal).All(l => l.Price >= 200 * bm.Sellers[l.Seller].Factor * 0.97 - 1 && l.Price <= 200 * bm.Sellers[l.Seller].Factor * 1.03 + 1), "目录：商家与单价（基础价 × 商家系数）");
             Check(BlackMarket.Pay(170, PayMode.Escrow) == 170 + 9 && BlackMarket.Pay(170, PayMode.Advance) == 153 && BlackMarket.OrderTotal(100, 5) == 475 && BlackMarket.OrderTotal(100, 10) == 900 && BlackMarket.OrderTotal(100, 4) == 400, "托管多付 5%，提前放款打九折");
             var good = new BmSeller { Name = "g", Trades = 100, Rating = 95 };
             var bad = new BmSeller { Name = "b", Trades = 100, Rating = 95, Scam = true };
@@ -733,11 +733,11 @@ internal static class Program
                 sum += bm.CatalogValue;
                 if (bm.Sellers.Any(x => x.Type == MerchantType.Bulk)) bulk++;
                 foreach (var s in bm.Sellers) types.Add(s.Type);
-                if (bm.Sellers.Where(x => x.Type != MerchantType.Bulk).Select(x => x.Type).Distinct().Count() != bm.Sellers.Count(x => x.Type != MerchantType.Bulk)) throw new Exception("同类型商家重复");
+                if (bm.Sellers.Where(x => x.Type != MerchantType.Bulk && x.Type != MerchantType.Personal).Select(x => x.Type).Distinct().Count() != bm.Sellers.Count(x => x.Type != MerchantType.Bulk && x.Type != MerchantType.Personal)) throw new Exception("同类型商家重复");
             }
             double avg = sum / n;
             Check(avg > 8000 && avg < 40000, $"每周货架总值（游戏里实测平均约 1.4 万，这里用统一基础价 250）：平均 {avg:0}");
-            Check(bulk > n * 0.15 && bulk < n * 0.35 && types.Count >= 18, $"大宗商家约 {Tuning.BmBulkChance:P0} 的周出现：{bulk}/{n}；七种类型都出现过");
+            Check(bulk > n * 0.15 && bulk < n * 0.35 && types.Count >= 20, $"大宗商家约 {Tuning.BmBulkChance:P0} 的周出现：{bulk}/{n}；七种类型都出现过");
             // 批量下单：折扣、库存扣减
             Func<string, double> price = a => 1;
             var m = new BlackMarket(); m.Sellers.Add(new BmSeller { Name = "a", Trades = 100, Type = MerchantType.Modules, Factor = 0.8 });
@@ -756,6 +756,24 @@ internal static class Program
             Check(Near(v0, 0, 1e-9) && Near(b2.VolumeTaint(10), Tuning.BmVolumeTaintMax, 1e-9) && b2.VolumeTaint(30) == 0, "近 7 天成交额推高污点，过期不算");
         });
 
+        Test("尖端店铺与个人卖家", () =>
+        {
+            int elite = 0, n = 400, personalListings = 0; double lo = 9, hi = 0;
+            for (int i = 0; i < n; i++)
+            {
+                var bm = new BlackMarket();
+                bm.RefreshOrders(20, 75, new Rng((ulong)i + 77), id => id == "hypertech_bay" || id == "turbo_booster_hypertech" ? 10000 : id == "mind_reprogrammer" ? 5000 : 200);
+                if (bm.Sellers.Any(x => x.Type == MerchantType.Elite)) elite++;
+                if (bm.Sellers.Count(x => x.Type == MerchantType.Personal) != Tuning.BmPersonalCount) throw new Exception("个人卖家数不对");
+                foreach (var l in bm.Catalog.Where(x => bm.Sellers[x.Seller].Type == MerchantType.Elite))
+                    if (l.Kind != GoodKind.Gpu && l.Price < Tuning.BmEliteMinValue * Tuning.BmFactorEliteMin * 0.97 - 1) throw new Exception("尖端店铺卖了便宜货：" + l.Item + " " + l.Price);
+                foreach (var l in bm.Catalog.Where(x => bm.Sellers[x.Seller].Type == MerchantType.Personal && x.Kind == GoodKind.Contraband)) { personalListings++; double f = l.Price / 200.0; lo = Math.Min(lo, f); hi = Math.Max(hi, f); }
+                foreach (var s in bm.Sellers.Where(x => x.Type == MerchantType.Personal)) if (s.Advance) throw new Exception("个人卖家不该接受提前放款");
+            }
+            Check(elite > n * 0.08 && elite < n * 0.25, $"尖端店铺约 {Tuning.BmEliteChance:P0} 的周出现：{elite}/{n}");
+            Check(personalListings > 100 && lo < 0.65 && hi > 1.05, $"个人卖家每件价格系数分散：{lo:0.00}–{hi:0.00}");
+        });
+
         Console.WriteLine($"\n{_passed} 通过，{_failed} 失败");
         return _failed == 0 ? 0 : 1;
     }