Type de stratégie

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 algorithmes1 bibliothèques

Réseau d'algorithmes

Comment les algorithmes Breakout se connectent entre bibliothèques

💥Breakout

🔧

vn.py3 algos

BollChannelStrategyintermediate

DualThrustStrategyintermediate

KingKeltnerStrategyintermediate

Pipeline de décision de trading

Comment les algorithmes Breakout fonctionnent ensemble dans un système de trading

📊

Range Identification

Support/resistance detection

Donchian channel bounds

Consolidation pattern

💥

Breakout Trigger

Level breach detection

Price closes above resistance

Volume expansion > 1.5x

📈

Entry Execution

Trend initiation capture

Market order on break

Retest confirmation (optional)

🏃

Trailing Stop

Trend following exit

ATR-based trailing stop

Channel re-entry exit

🛡️

False Breakout Filter

Whipsaw protection

Volume confirmation required

Time-based invalidation

Comparaison des algorithmes

Comparer les algorithmes Breakout sur les dimensions clés

Matrice de comparaison des algorithmesCliquez sur une colonne pour développer les détails

Métrique	BollChannelStrategyvn.py	DualThrustStrategyvn.py	KingKeltnerStrategyvn.py
🎯Complexité	⭐⭐⭐intermediate	⭐⭐⭐intermediate	⭐⭐⭐intermediate
📈Type de prédiction	Mixte	Mixte	Mixte
⚡Vitesse d'entraînement	⚡⚡	⚡⚡	⚡⚡
🎯Précision	📊📊	📊📊	📊📊
💡Idéal pour	Usage général	Usage général	Usage général

vn.py

BollChannelStrategy

vn.py

Breakoutintermediate

Bollinger Band channel breakout strategy entering on band expansion and exiting on contraction.

Vitesse⚡⚡

Précision📊📊📊

Paramètres clés

boll_window	18	Bollinger Band period
boll_dev	3.4	Standard deviation multiplier

Source :vnpy_ctastrategy

DualThrustStrategy

vn.py

Breakoutintermediate

Intraday breakout strategy calculating upper/lower bands from previous day's range for entry signals.

Vitesse⚡⚡

Précision📊📊📊

Paramètres clés

k1	0.4	Upper band coefficient
k2	0.6	Lower band coefficient

Source :vnpy_ctastrategy

KingKeltnerStrategy

vn.py

Breakoutintermediate

Keltner Channel breakout strategy using EMA center line and ATR-based upper/lower bands.

Vitesse⚡⚡

Précision📊📊📊

Paramètres clés

kk_length	11	Keltner Channel period
kk_dev	1.6	ATR multiplier for bands

Source :vnpy_ctastrategy

Breakout Trading Strategies, référence des algorithmes

BollChannelStrategy (vn.py): Bollinger Band channel breakout strategy entering on band expansion and exiting on contraction. Paramètres clés : boll_window (Bollinger Band period), boll_dev (Standard deviation multiplier).Source : https://github.com/vnpy/vnpy_ctastrategy.
DualThrustStrategy (vn.py): Intraday breakout strategy calculating upper/lower bands from previous day's range for entry signals. Paramètres clés : k1 (Upper band coefficient), k2 (Lower band coefficient).Source : https://github.com/vnpy/vnpy_ctastrategy.
KingKeltnerStrategy (vn.py): Keltner Channel breakout strategy using EMA center line and ATR-based upper/lower bands. Paramètres clés : kk_length (Keltner Channel period), kk_dev (ATR multiplier for bands).Source : https://github.com/vnpy/vnpy_ctastrategy.