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hyperopted

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zhangkun9038@dingtalk.com 2025-09-07 23:11:14 +08:00
parent 3785332155
commit 7b638c4a13
1 changed files with 8 additions and 8 deletions
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freqtrade/templates/freqaiprimer.py
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@ -81,16 +81,16 @@ class FreqaiPrimer(IStrategy):
can_short = False # 禁用做空
# 自定义指标参数 - 使用Hyperopt可优化参数
bb_length = IntParameter(10, 30, default=20, optimize=True, load=True, name='bb_length', space='buy')
bb_std = DecimalParameter(1.5, 3.0, decimals=1, default=2.0, optimize=True, load=True, name='bb_std', space='buy')
rsi_length = IntParameter(7, 21, default=14, optimize=True, load=True, name='rsi_length', space='buy')
rsi_overbought = IntParameter(50, 70, default=58, optimize=True, load=True, name='rsi_overbought', space='buy')
rsi_oversold = IntParameter(30, 50, default=42, optimize=True, load=True, name='rsi_oversold', space='buy')
bb_length = IntParameter(10, 30, default=20, optimize=True, load=True, space='buy')
bb_std = DecimalParameter(1.5, 3.0, decimals=1, default=2.0, optimize=True, load=True, space='buy')
rsi_length = IntParameter(7, 21, default=14, optimize=True, load=True, space='buy')
rsi_overbought = IntParameter(50, 70, default=58, optimize=True, load=True, space='buy')
rsi_oversold = IntParameter(30, 50, default=42, optimize=True, load=True, space='buy')
# 剧烈拉升检测参数 - 使用Hyperopt可优化参数
h1_max_candles = IntParameter(100, 300, default=200, optimize=True, load=True, name='h1_max_candles', space='buy')
h1_rapid_rise_threshold = DecimalParameter(0.05, 0.15, decimals=3, default=0.11, optimize=True, load=True, name='h1_rapid_rise_threshold', space='buy')
h1_max_consecutive_candles = IntParameter(1, 4, default=2, optimize=True, load=True, name='h1_max_consecutive_candles', space='buy')
h1_max_candles = IntParameter(100, 300, default=200, optimize=True, load=True, space='buy')
h1_rapid_rise_threshold = DecimalParameter(0.05, 0.15, decimals=3, default=0.11, optimize=True, load=True, space='buy')
h1_max_consecutive_candles = IntParameter(1, 4, default=2, optimize=True, load=True, space='buy')
def informative_pairs(self):
pairs = self.dp.current_whitelist()