diff --git a/framework/__init__.py b/framework/__init__.py
new file mode 100644
index 0000000..9add992
--- /dev/null
+++ b/framework/__init__.py
@@ -0,0 +1,21 @@
+"""
+量化策略通用框架
+
+融合Freqtrade回调机制 + 模块化因子设计
+"""
+
+from .factors import FactorBase, FactorRegistry, FactorCombiner
+from .signals import SignalGenerator, TopNSelector, TrendFollower, ReversalTrader
+from .strategy import StrategyBase, RotationStrategy
+from .risk import RiskControl, StopLossControl, PositionLimitControl
+from .execution import Executor, BacktestExecutor, DryRunExecutor
+from .config import ConfigLoader
+
+__all__ = [
+    'FactorBase', 'FactorRegistry', 'FactorCombiner',
+    'SignalGenerator', 'TopNSelector', 'TrendFollower', 'ReversalTrader',
+    'StrategyBase', 'RotationStrategy',
+    'RiskControl', 'StopLossControl', 'PositionLimitControl',
+    'Executor', 'BacktestExecutor', 'DryRunExecutor',
+    'ConfigLoader',
+]
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diff --git a/framework/config/__init__.py b/framework/config/__init__.py
new file mode 100644
index 0000000..7246012
--- /dev/null
+++ b/framework/config/__init__.py
@@ -0,0 +1,83 @@
+"""
+配置层抽象设计
+
+核心组件：
+- ConfigLoader: 配置加载器
+"""
+
+import yaml
+from typing import Dict, Any, Optional
+from pathlib import Path
+from dataclasses import dataclass
+
+
+@dataclass
+class StrategyConfig:
+    """策略配置"""
+    name: str
+    version: int
+    factors: list
+    signal: dict
+    callbacks: dict
+    params: dict
+
+
+class ConfigLoader:
+    """
+    配置加载器
+    
+    支持YAML配置文件加载和验证
+    """
+    
+    def __init__(self, config_path: str):
+        """
+        初始化配置加载器
+        
+        Args:
+            config_path: 配置文件路径
+        """
+        self._config_path = Path(config_path)
+        self._config = None
+    
+    def load(self) -> Dict:
+        """加载配置"""
+        if not self._config_path.exists():
+            raise FileNotFoundError(f"Config file not found: {self._config_path}")
+        
+        with open(self._config_path, 'r', encoding='utf-8') as f:
+            self._config = yaml.safe_load(f)
+        
+        return self._config
+    
+    def validate(self) -> bool:
+        """验证配置"""
+        if self._config is None:
+            self.load()
+        
+        # 必须字段
+        required_fields = ['strategy', 'factors', 'signal']
+        
+        for field in required_fields:
+            if field not in self._config:
+                raise ValueError(f"Missing required field: {field}")
+        
+        return True
+    
+    def get_strategy_config(self) -> StrategyConfig:
+        """获取策略配置"""
+        if self._config is None:
+            self.load()
+        
+        return StrategyConfig(
+            name=self._config['strategy']['name'],
+            version=self._config['strategy'].get('version', 1),
+            factors=self._config['factors'],
+            signal=self._config['signal'],
+            callbacks=self._config.get('callbacks', {}),
+            params=self._config.get('params', {})
+        )
+    
+    @staticmethod
+    def from_yaml(yaml_str: str) -> Dict:
+        """从YAML字符串加载"""
+        return yaml.safe_load(yaml_str)
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diff --git a/framework/tests/test_integration.py b/framework/tests/test_integration.py
new file mode 100644
index 0000000..49d9629
--- /dev/null
+++ b/framework/tests/test_integration.py
@@ -0,0 +1,101 @@
+"""
+框架核心测试
+
+验证框架整体功能
+"""
+
+import pandas as pd
+import numpy as np
+import pytest
+
+from framework.factors import FactorBase, FactorRegistry, FactorCombiner
+from framework.factors.momentum import MomentumFactor, TrendFactor, ReversalFactor, VolatilityFactor
+from framework.signals import TopNSelector, TrendFollower, ReversalTrader
+from framework.risk import StopLossControl, CallbackHook, Position, premium_filter_callback
+
+
+class TestFrameworkIntegration:
+    """测试框架集成"""
+    
+    def test_rotation_strategy_workflow(self):
+        """测试轮动策略完整流程"""
+        # 清空注册表
+        FactorRegistry.clear()
+        
+        # 1. 注册因子
+        FactorRegistry.register(MomentumFactor)
+        FactorRegistry.register(VolatilityFactor)
+        
+        # 2. 创建因子组合
+        factors = FactorCombiner([
+            FactorRegistry.get('momentum', n_days=25, crash_filter=True),
+        ], weights=[1.0])
+        
+        # 3. 生成测试数据（需要'close'列）
+        dates = pd.date_range('2020-01-01', periods=100)
+        data = pd.DataFrame({
+            'close': np.random.randn(100).cumsum() + 100,
+            'code1': np.random.randn(100).cumsum() + 100,
+            'code2': np.random.randn(100).cumsum() + 100,
+            'code3': np.random.randn(100).cumsum() + 100,
+        }, index=dates)
+        
+        # 4. 计算因子
+        factor_result = factors.compute(data)
+        
+        # 5. 生成信号
+        selector = TopNSelector(select_num=2)
+        signals = selector.generate(factor_result)
+        
+        # 6. 验证结果
+        assert 'signal' in signals.columns
+        assert len(signals) == len(data)
+    
+    def test_trend_strategy_workflow(self):
+        """测试趋势策略完整流程"""
+        FactorRegistry.clear()
+        FactorRegistry.register(TrendFactor)
+        
+        factors = FactorCombiner([
+            FactorRegistry.get('trend', method='ma_cross', fast=5, slow=20),
+        ])
+        
+        dates = pd.date_range('2020-01-01', periods=100)
+        data = pd.DataFrame({
+            'close': np.random.randn(100).cumsum() + 100,
+        }, index=dates)
+        
+        factor_result = factors.compute(data)
+        follower = TrendFollower(entry_threshold=0.02)
+        signals = follower.generate(factor_result)
+        
+        assert 'signal' in signals.columns
+    
+    def test_callbacks_workflow(self):
+        """测试回调钩子完整流程"""
+        hook = CallbackHook()
+        
+        # 注册回调
+        hook.register('before_entry', premium_filter_callback(0.10))
+        hook.register('dynamic_stoploss', lambda pos: -0.05)
+        
+        # 测试入场前回调
+        result = hook.trigger('before_entry', 'code1', 100.0, premium=0.05)
+        assert result == True
+        
+        # 测试动态止损
+        position = Position(
+            code='code1',
+            entry_price=100.0,
+            entry_date=pd.Timestamp('2020-01-01'),
+            current_price=95.0,
+            current_date=pd.Timestamp('2020-01-10'),
+            quantity=100,
+            weight=0.33
+        )
+        stoploss = hook.trigger('dynamic_stoploss', position)
+        assert stoploss == -0.05
+
+
+if __name__ == '__main__':
+    pytest.main([__file__, '-v'])
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