策略類型
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 個演算法1 個函式庫
演算法網路
突破演算法如何跨函式庫連接
Breakout
vn.py3 algos
BollChannelStrategyintermediate
DualThrustStrategyintermediate
KingKeltnerStrategyintermediate
交易決策流程
突破演算法如何在交易系統中協同運作
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
演算法比較
在關鍵維度上對比突破演算法
演算法對比矩陣點擊欄以展開詳情
| 指標 | BollChannelStrategyvn.py | DualThrustStrategyvn.py | KingKeltnerStrategyvn.py |
|---|---|---|---|
| 複雜度 | ⭐⭐⭐intermediate | ⭐⭐⭐intermediate | ⭐⭐⭐intermediate |
| 預測類型 | 混合 | 混合 | 混合 |
| 訓練速度 | ⚡⚡ | ⚡⚡ | ⚡⚡ |
| 準確度 | 📊📊 | 📊📊 | 📊📊 |
| 最適合 | 通用 | 通用 | 通用 |
vn.py
Bollinger Band channel breakout strategy entering on band expansion and exiting on contraction.
速度⚡⚡
準確度📊📊📊
關鍵參數
| boll_window | 18 | Bollinger Band period |
| boll_dev | 3.4 | Standard deviation multiplier |
原始碼：
vnpy_ctastrategyIntraday breakout strategy calculating upper/lower bands from previous day's range for entry signals.
速度⚡⚡
準確度📊📊📊
關鍵參數
| k1 | 0.4 | Upper band coefficient |
| k2 | 0.6 | Lower band coefficient |
原始碼：
vnpy_ctastrategyBreakout Trading Strategies，演算法參考
- BollChannelStrategy (vn.py)
- Bollinger Band channel breakout strategy entering on band expansion and exiting on contraction. 關鍵參數： boll_window (Bollinger Band period), boll_dev (Standard deviation multiplier).原始碼： https://github.com/vnpy/vnpy_ctastrategy.
- DualThrustStrategy (vn.py)
- Intraday breakout strategy calculating upper/lower bands from previous day's range for entry signals. 關鍵參數： k1 (Upper band coefficient), k2 (Lower band coefficient).原始碼： https://github.com/vnpy/vnpy_ctastrategy.
- KingKeltnerStrategy (vn.py)
- Keltner Channel breakout strategy using EMA center line and ATR-based upper/lower bands. 關鍵參數： kk_length (Keltner Channel period), kk_dev (ATR multiplier for bands).原始碼： https://github.com/vnpy/vnpy_ctastrategy.