diff --git a/src/easy_tdx/backtest/slippage.py b/src/easy_tdx/backtest/slippage.py
new file mode 100644
index 0000000..7ac581d
--- /dev/null
+++ b/src/easy_tdx/backtest/slippage.py
@@ -0,0 +1,69 @@
+"""可插拔滑点模型。"""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+
+
+class SlippageModel(ABC):
+    """滑点模型基类。
+
+    所有滑点模型必须实现 compute() 方法，返回总滑点成本（金额）。
+    """
+
+    @abstractmethod
+    def compute(
+        self,
+        price: float,
+        size: float,
+        volume: float,
+        volatility: float,
+        direction: str,
+    ) -> float:
+        """计算滑点成本。
+
+        Args:
+            price: 成交价格
+            size: 订单数量（股）
+            volume: 当日成交量（股），0 表示无数据
+            volatility: 近期年化波动率，0 表示无数据
+            direction: 交易方向 BUY / SELL
+
+        Returns:
+            总滑点成本（金额，非比率）
+        """
+        ...
+
+
+class FixedSlippage(SlippageModel):
+    """固定每股滑点（向后兼容）。"""
+
+    def __init__(self, per_share: float = 0.01) -> None:
+        self._per_share = per_share
+
+    def compute(
+        self,
+        price: float,
+        size: float,
+        volume: float,
+        volatility: float,
+        direction: str,
+    ) -> float:
+        return size * self._per_share
+
+
+class PercentSlippage(SlippageModel):
+    """按成交金额百分比滑点。"""
+
+    def __init__(self, rate: float = 0.001) -> None:
+        self._rate = rate
+
+    def compute(
+        self,
+        price: float,
+        size: float,
+        volume: float,
+        volatility: float,
+        direction: str,
+    ) -> float:
+        return price * size * self._rate
diff --git a/tests/unit/test_backtest_slippage.py b/tests/unit/test_backtest_slippage.py
new file mode 100644
index 0000000..241ef8f
--- /dev/null
+++ b/tests/unit/test_backtest_slippage.py
@@ -0,0 +1,87 @@
+"""滑点模型单元测试。"""
+
+from __future__ import annotations
+
+import pytest
+
+from easy_tdx.backtest.slippage import (
+    FixedSlippage,
+    PercentSlippage,
+    SlippageModel,
+)
+
+
+class TestSlippageBase:
+    """基类验证。"""
+
+    def test_cannot_instantiate_abc(self) -> None:
+        """不能直接实例化 ABC。"""
+        with pytest.raises(TypeError):
+            SlippageModel()  # type: ignore[abstract]
+
+    def test_subclass_must_implement_compute(self) -> None:
+        """子类必须实现 compute。"""
+
+        class BadModel(SlippageModel):
+            pass
+
+        with pytest.raises(TypeError):
+            BadModel()  # type: ignore[abstract]
+
+
+class TestFixedSlippage:
+    """固定每股滑点。"""
+
+    def test_zero_per_share(self) -> None:
+        """per_share=0 时无滑点。"""
+        model = FixedSlippage(per_share=0.0)
+        cost = model.compute(price=10.0, size=100, volume=10000, volatility=0.3, direction="BUY")
+        assert cost == 0.0
+
+    def test_basic(self) -> None:
+        """基本计算：100 股 × 0.01 元/股 = 1.0。"""
+        model = FixedSlippage(per_share=0.01)
+        cost = model.compute(price=10.0, size=100, volume=10000, volatility=0.3, direction="BUY")
+        assert cost == pytest.approx(1.0)
+
+    def test_large_size(self) -> None:
+        """大单。"""
+        model = FixedSlippage(per_share=0.05)
+        cost = model.compute(
+            price=50.0, size=10000, volume=500000, volatility=0.2, direction="SELL"
+        )
+        assert cost == pytest.approx(500.0)
+
+    def test_direction_irrelevant(self) -> None:
+        """方向不影响固定滑点。"""
+        model = FixedSlippage(per_share=0.01)
+        buy_cost = model.compute(
+            price=10.0, size=100, volume=10000, volatility=0.3, direction="BUY"
+        )
+        sell_cost = model.compute(
+            price=10.0, size=100, volume=10000, volatility=0.3, direction="SELL"
+        )
+        assert buy_cost == sell_cost
+
+
+class TestPercentSlippage:
+    """按成交金额百分比滑点。"""
+
+    def test_zero_rate(self) -> None:
+        """rate=0 时无滑点。"""
+        model = PercentSlippage(rate=0.0)
+        cost = model.compute(price=10.0, size=100, volume=10000, volatility=0.3, direction="BUY")
+        assert cost == 0.0
+
+    def test_basic(self) -> None:
+        """10元 × 100股 × 0.001 = 1.0。"""
+        model = PercentSlippage(rate=0.001)
+        cost = model.compute(price=10.0, size=100, volume=10000, volatility=0.3, direction="BUY")
+        assert cost == pytest.approx(1.0)
+
+    def test_high_price(self) -> None:
+        """高价股。"""
+        model = PercentSlippage(rate=0.002)
+        cost = model.compute(price=100.0, size=500, volume=20000, volatility=0.25, direction="BUY")
+        # 100 × 500 × 0.002 = 100.0
+        assert cost == pytest.approx(100.0)