策略类型
Breakout Trading Strategies
Channel Break & Trend Initiation Capture
Breakout strategies identify key support and resistance levels, entering positions when price breaks through these levels with increased volume. These strategies capture the initial momentum of new trends as markets escape consolidation ranges.
3 个算法1 个库
算法网络
突破算法如何跨库连接
Breakout
vn.py3 algos
BollChannelStrategyintermediate
DualThrustStrategyintermediate
KingKeltnerStrategyintermediate
交易决策流程
突破算法如何在交易系统中协同工作
1
Range Identification
Support/resistance detection
Donchian channel bounds
Consolidation pattern
2
Breakout Trigger
Level breach detection
Price closes above resistance
Volume expansion > 1.5x
3
Entry Execution
Trend initiation capture
Market order on break
Retest confirmation (optional)
4
Trailing Stop
Trend following exit
ATR-based trailing stop
Channel re-entry exit
5
False Breakout Filter
Whipsaw protection
Volume confirmation required
Time-based invalidation
算法对比
在关键维度上对比突破算法
算法对比矩阵点击列以展开详情
| 指标 | BollChannelStrategyvn.py | DualThrustStrategyvn.py | KingKeltnerStrategyvn.py |
|---|---|---|---|
| 复杂度 | ⭐⭐⭐intermediate | ⭐⭐⭐intermediate | ⭐⭐⭐intermediate |
| 预测类型 | 混合 | 混合 | 混合 |
| 训练速度 | ⚡⚡ | ⚡⚡ | ⚡⚡ |
| 准确度 | 📊📊 | 📊📊 | 📊📊 |
| 最适合 | 通用 | 通用 | 通用 |
vn.py
Bollinger Band channel breakout strategy entering on band expansion and exiting on contraction.
速度⚡⚡
准确度📊📊📊
关键参数
| boll_window | 18 | Bollinger Band period |
| boll_dev | 3.4 | Standard deviation multiplier |
源代码：
vnpy_ctastrategyIntraday breakout strategy calculating upper/lower bands from previous day's range for entry signals.
速度⚡⚡
准确度📊📊📊
关键参数
| k1 | 0.4 | Upper band coefficient |
| k2 | 0.6 | Lower band coefficient |
源代码：
vnpy_ctastrategyBreakout Trading Strategies，算法参考
- BollChannelStrategy (vn.py)
- Bollinger Band channel breakout strategy entering on band expansion and exiting on contraction. 关键参数： boll_window (Bollinger Band period), boll_dev (Standard deviation multiplier).源代码： https://github.com/vnpy/vnpy_ctastrategy.
- DualThrustStrategy (vn.py)
- Intraday breakout strategy calculating upper/lower bands from previous day's range for entry signals. 关键参数： k1 (Upper band coefficient), k2 (Lower band coefficient).源代码： https://github.com/vnpy/vnpy_ctastrategy.
- KingKeltnerStrategy (vn.py)
- Keltner Channel breakout strategy using EMA center line and ATR-based upper/lower bands. 关键参数： kk_length (Keltner Channel period), kk_dev (ATR multiplier for bands).源代码： https://github.com/vnpy/vnpy_ctastrategy.