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趋势函数独立出来, 95分以上不退出

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zhangkun9038@dingtalk.com 2025-08-30 15:12:19 +08:00
parent 857e00bc19
commit 7aa9ebe55b
1 changed files with 3 additions and 2 deletions
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freqtrade/templates/freqaiprimer.py
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@ -127,7 +127,7 @@ class FreqaiPrimer(IStrategy):
# 调试：打印指标值（最后 5 行） # 调试：打印指标值（最后 5 行）
print(f"Pair: {metadata['pair']}, Last 5 rows:") print(f"Pair: {metadata['pair']}, Last 5 rows:")
print(dataframe[['date', 'close', 'bb_lower_3m', 'rsi_3m', 'rsi_15m', 'rsi_1h', 'trend_1h', print(dataframe[['date', 'close', 'bb_lower_3m', 'rsi_3m', 'rsi_15m', 'rsi_1h', 'trend_1h',
'trend_3m', 'trend_15m', 'trend_1h_ema', 'market_score', 'market_state', 'trend_3m', 'trend_15m', 'market_score', 'market_state',
'bullish_engulfing', 'volume', 'volume_ma']].tail(5)) 'bullish_engulfing', 'volume', 'volume_ma']].tail(5))
return dataframe return dataframe
@ -305,7 +305,8 @@ class FreqaiPrimer(IStrategy):
) )
# 强劲趋势条件：1h趋势向上 + 熊牛得分>70 # 强劲趋势条件：1h趋势向上 + 熊牛得分>70
strong_trend = (dataframe['trend_1h_ema'] == 1) & (dataframe['market_score'] > 70) # 使用EMA交叉来判断趋势，而不是不存在的trend_1h_ema列
strong_trend = (dataframe['ema_50_1h'] > dataframe['ema_200_1h']) & (dataframe['market_score'] > 70)
# 一般趋势条件：熊牛得分50-70 # 一般趋势条件：熊牛得分50-70
normal_trend = (dataframe['market_score'] >= 50) & (dataframe['market_score'] <= 70) normal_trend = (dataframe['market_score'] >= 50) & (dataframe['market_score'] <= 70)