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移除没用的log

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Ubuntu 2026-01-09 04:58:25 +00:00
parent c008bd2b19
commit 075fedd838
1 changed files with 2 additions and 65 deletions
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67
freqtrade/templates/freqaiprimer.py
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@ -743,69 +743,6 @@ class FreqaiPrimer(IStrategy):
# 设置入场信号
dataframe.loc[final_condition, 'enter_long'] = 1
# ========== 新增：入场诊断统计（回测可用） ==========
# 对每个入场信号输出详细诊断信息
entry_signals = dataframe[dataframe['enter_long'] == 1]
if len(entry_signals) > 0:
for idx in entry_signals.index[-5:]: # 只输出最近 5 个信号，避免日志过多
row = dataframe.loc[idx]
current_close = float(row['close'])
# 1. 价格与短期高点的关系
recent_high_5 = float(dataframe.loc[max(0, idx-4):idx+1, 'high'].max()) if idx >= 4 else current_close
price_vs_recent_high = (current_close - recent_high_5) / recent_high_5 if recent_high_5 > 0 else 0
# 2. 价格与 EMA5 的关系
ema5_1h = float(row.get('ema_5_1h', current_close))
price_vs_ema5 = (current_close - ema5_1h) / ema5_1h if ema5_1h > 0 else 0
# 3. 价格与布林带的位置
bb_upper = float(row.get('bb_upper_1h', current_close))
bb_lower = float(row.get('bb_lower_1h', current_close))
bb_position = (current_close - bb_lower) / (bb_upper - bb_lower) if (bb_upper - bb_lower) > 0 else 0.5
# 4. RSI 状态
rsi_1h = float(row.get('rsi_1h', 50))
# 5. MACD 状态
macd_1h = float(row.get('macd_1h', 0))
macd_signal_1h = float(row.get('macd_signal_1h', 0))
macd_cross = 'up' if macd_1h > macd_signal_1h else 'down'
# 6. 市场状态
market_state = str(row.get('market_state', 'unknown'))
# 7. ML 入场概率（如果有）
entry_prob = None
if '&s-entry_signal' in dataframe.columns:
val = row.get('&s-entry_signal', 0)
if val is not None and str(val).strip(): # 检查非空且非空白
try:
entry_prob = float(val)
except (ValueError, TypeError):
pass
elif '&-entry_signal' in dataframe.columns:
val = row.get('&-entry_signal', 0)
if val is not None and str(val).strip():
try:
entry_prob = float(val)
except (ValueError, TypeError):
pass
# 输出诊断日志
ml_prob_str = f"{entry_prob:.2f}" if entry_prob is not None else "N/A"
self.strategy_log(
f"[入场诊断] {metadata['pair']} | "
f"价格: {current_close:.6f} | "
f"vs 5K高点: {price_vs_recent_high:+.2%} | "
f"vs EMA5: {price_vs_ema5:+.2%} | "
f"布林位置: {bb_position:.2f} | "
f"RSI: {rsi_1h:.1f} | "
f"MACD: {macd_cross} | "
f"市场: {market_state} | "
f"ML概率: {ml_prob_str}"
)
# ========== 诊断统计结束 ==========
# 设置入场价格：下调1.67%（使用乘法避免除零风险）
final_condition_updated = dataframe['enter_long'] == 1
@ -1016,7 +953,7 @@ class FreqaiPrimer(IStrategy):
# 基本信息
basic_info = (
f"[入场诊断] {pair} | "
f"[入场诊断1] {pair} | "
f"价格: {current_close:.6f} | "
f"vs 5K高点: {price_vs_recent_high:+.2%} | "
f"vs EMA5: {price_vs_ema5:+.2%}"
@ -1035,7 +972,6 @@ class FreqaiPrimer(IStrategy):
f"ML入场概率: {ml_prob_str}"
)
self.strategy_log(basic_info + " | " + tech_info + " | " + env_info)
# ========== 诊断统计结束 ==========
if entry_prob is not None:
@ -1062,6 +998,7 @@ class FreqaiPrimer(IStrategy):
allow_trade = False
else:
self.strategy_log(f"[{pair}] ML 审核官允许入场: entry_signal 概率 {entry_prob:.2f} >= 阈值 {entry_threshold:.2f}（市场: {market_state}）")
self.strategy_log(basic_info + " | " + tech_info + " | " + env_info)
except Exception as e:
logger.warning(f"[{pair}] ML 审核官检查失败，忽略 ML 过滤: {e}")
return allow_trade