diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py index 2bc3bea2..41da9692 100644 --- a/freqtrade/templates/freqaiprimer.py +++ b/freqtrade/templates/freqaiprimer.py @@ -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()