first add

config_examples/smartbbgrid.json

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+{
+    "strategy": "SmartBBGrid",
+    "$schema": "https://schema.freqtrade.io/schema.json",
+    "redis": {
+        "url": "redis://192.168.1.215:6379/0"
+    },
+    "trading_mode": "spot",
+    "margin_mode": "isolated",
+    "max_open_trades": 55,
+    "stake_currency": "USDT",
+    "stake_amount": "unlimited",
+    "tradable_balance_ratio": 1,
+    "process_only_new_candles": false,
+    "dry_run": true,
+    "timeframe": "4h",
+    "dry_run_wallet": 3000,
+    "cancel_open_orders_on_exit": true,
+    "max_entry_position_adjustment": -1,
+    "position_adjustment_enable": true,
+    "amount_reserve_percent": 0.05,
+    "unfilledtimeout": {
+        "entry": 5,
+        "exit": 15
+    },
+    "startup_candle_count": 200,
+    "exchange": {
+        "name": "okx",
+        "key": "314e75b0-1113-47e8-ad01-1fca7e3c0496",
+        "secret": "9C8B170390F46EA6FB87592AD46F5A34",
+        "password": "nekFoylf:Om0",
+        "ccxt_config": {
+            "enableRateLimit": true,
+            "rateLimit": 500
+        },
+        "pair_whitelist": ["BTC/USDT", "ETH/USDT", "SOL/USDT"]
+    },
+    "entry_pricing": {
+        "price_side": "same",
+        "use_order_book": true,
+        "order_book_top": 1
+    },
+    "exit_pricing": {
+        "price_side": "other",
+        "use_order_book": true,
+        "order_book_top": 1
+    },
+    "pairlists": [
+        {
+            "method": "StaticPairList"
+        }
+    ],
+    "bot_name": "SmartBBGrid-2025",
+    "initial_state": "running",
+    "force_entry_enable": false,
+    "internals": {
+        "process_throttle_secs": 5,
+        "heartbeat_interval": 20,
+        "loglevel": "INFO"
+    }
+}

freqtrade/templates/smartbbgrid.json

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+{
+  "strategy_name": "SmartBBGrid"
+}

freqtrade/templates/smartbbgrid.py

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+# user_data/strategies/SmartBBGrid.py
+from freqtrade.strategy import IStrategy
+from pandas import DataFrame
+import talib.abstract as ta
+
+class SmartBBGrid(IStrategy):
+    INTERFACE_VERSION = 3
+    timeframe = '4h'
+    can_short = False
+
+    minimal_roi = {"0": 100}      # 不自动ROI
+    stoploss = -0.99
+    startup_candle_count = 200
+    use_exit_signal = True
+    exit_profit_only = False
+    ignore_roi_if_entry_signal = True
+
+    # ---------- 指标 ----------
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        # 布林带（20期 2.3倍）
+        bb = ta.BBANDS(dataframe, timeperiod=20, nbdevup=2.3, nbdevdn=2.3)
+        dataframe['bb_lower'] = bb['lowerband']
+        dataframe['bb_upper'] = bb['upperband']
+        dataframe['bb_mid']   = bb['middleband']
+        dataframe['bb_width'] = (dataframe['bb_upper'] - dataframe['bb_lower']) / dataframe['bb_mid']
+        
+        # ADX
+        dataframe['adx'] = ta.ADX(dataframe, timeperiod=14)
+        return dataframe
+
+    # ---------- 买入 ----------
+    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe['enter_long'] = False
+        
+        # 震荡或强牛市都允许在下轨补仓
+        oscillating = (dataframe['adx'] < 24) & (dataframe['bb_width'] > 0.04)
+        strong_bull   = dataframe['adx'] > 30
+        
+        dataframe.loc[
+            ((oscillating | strong_bull) &
+             (dataframe['close'] <= dataframe['bb_lower'] * 1.006) &
+             (dataframe['volume'] > 0)),
+            'enter_long'] = True
+        return dataframe
+
+    # ---------- 卖出 ----------
+    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe['exit_long'] = False
+        
+        # 只有震荡市才卖，牛市死拿
+        dataframe.loc[
+            (dataframe['adx'] < 24) & (
+                (dataframe['close'] >= dataframe['bb_upper'] * 0.994) |   # 碰到上轨卖
+                (dataframe['close'] >= dataframe['bb_mid'] * 1.13)        # 赚13%全清
+            ),
+            'exit_long'] = True
+        return dataframe
+
+    # ---------- 每币25-30个订单 ----------
+
+    def custom_stake_amount(self, pair: str, current_time, current_rate,
+                            proposed_stake, min_stake, max_stake, 
+                            entry_tag, **kwargs) -> float:
+
+        # 目标：每个币对保持 25-30 个订单
+        TARGET_ORDERS_PER_PAIR = 27  # 中位数
+
+        # 1. 拿到当前钱包总余额
+        total_balance = self.wallets.get_total_stake_amount()
+
+        # 2. 定义每个币对的资金占比
+        weights = {
+            'BTC/USDT': 0.30,
+            'ETH/USDT': 0.30,
+            'SOL/USDT': 0.40,
+        }
+
+        # 3. 该币对应该占的总金额
+        target_for_this_pair = total_balance * weights.get(pair, 0.33)
+
+        # 4. 该币对已经占了多少
+        used_for_this_pair = self.wallets.get_used_for_pair(pair)
+
+        # 5. 还剩多少可以投入
+        available = target_for_this_pair - used_for_this_pair
+
+        if available <= 0:
+            return 0
+
+        # 6. 根据目标订单数，计算每笔应该投多少
+        # 假设还需要投入的订单数 = 目标订单数 - 当前订单数
+        current_trades_for_pair = len([t for t in self.trades if t.pair == pair])
+        remaining_orders = max(1, TARGET_ORDERS_PER_PAIR - current_trades_for_pair)
+
+        # 平均分配剩余资金给剩余订单
+        per_order_stake = available / remaining_orders
+
+        # 取最小值（不超过可用资金）
+        stake = min(per_order_stake, proposed_stake)
+        stake = max(stake, min_stake * 2)  # 防止太小
+
+        return stake