hyperopted
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parent
677e788874
commit
f6af58c667
@ -15,47 +15,47 @@
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"h1_max_candles": 246,
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"h1_max_consecutive_candles": 2,
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"h1_rapid_rise_threshold": 0.147,
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"add_bb_lower_proximity": 1.075,
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"add_position_decrease_ratio": 0.79,
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"add_rsi_oversold_threshold": 52,
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"add_stochrsi_oversold": 42,
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"adjust_multiplier": 0.9,
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"bb_length": 16,
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"add_bb_lower_proximity": 0.873,
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"add_position_decrease_ratio": 0.37,
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"add_rsi_oversold_threshold": 20,
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"add_stochrsi_oversold": 48,
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"adjust_multiplier": 1.13,
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"bb_length": 31,
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"bb_lower_deviation": 0.99,
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"bb_std": 3.1,
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"bb_width_threshold": 0.014,
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"max_entry_adjustments": 9,
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"bb_std": 3.0,
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"bb_width_threshold": 0.043,
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"max_entry_adjustments": 3,
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"min_condition_count": 3,
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"rsi_bull_threshold": 67,
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"rsi_length": 6,
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"rsi_oversold": 44,
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"stochrsi_bull_threshold": 35,
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"stochrsi_neutral_threshold": 30,
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"volume_multiplier": 1.7
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"rsi_bull_threshold": 36,
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"rsi_length": 23,
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"rsi_oversold": 62,
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"stochrsi_bull_threshold": 55,
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"stochrsi_neutral_threshold": 7,
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"volume_multiplier": 2.9
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},
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"sell": {
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"exit_bb_upper_deviation": 1.18,
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"exit_profit_tier1": 0.085,
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"exit_profit_tier2": 0.155,
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"exit_reduce_tier1": 0.89,
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"exit_reduce_tier2": 0.36,
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"exit_rsi_threshold": 72,
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"exit_volume_multiplier": 1.2,
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"max_reduce_adjustments": 3,
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"reduce_coefficient": 0.517,
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"reduce_profit_base": 0.116
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"exit_bb_upper_deviation": 1.21,
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"exit_profit_tier1": 0.118,
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"exit_profit_tier2": 0.344,
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"exit_reduce_tier1": 0.6,
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"exit_reduce_tier2": 0.49,
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"exit_rsi_threshold": 41,
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"exit_volume_multiplier": 2.3,
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"max_reduce_adjustments": 1,
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"reduce_coefficient": 0.467,
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"reduce_profit_base": 0.172
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},
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"protection": {},
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"roi": {
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"0": 0.181,
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"17": 0.039,
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"46": 0.02,
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"54": 0
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"0": 0.13,
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"12": 0.046,
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"24": 0.008,
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"71": 0
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},
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"stoploss": {
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"stoploss": -0.286
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"stoploss": -0.194
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}
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},
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"ft_stratparam_v": 1,
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"export_time": "2025-11-22 07:38:54.914139+00:00"
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}
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"export_time": "2025-11-22 11:58:03.496751+00:00"
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}
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@ -149,7 +149,7 @@ class FreqaiPrimer(IStrategy):
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return proposed_rate if proposed_rate > 0 else 0.0
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# 入场价格折扣:98折(降低2%)
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discounted_rate = proposed_rate * 0.98
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discounted_rate = proposed_rate * 0.985
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return discounted_rate
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def custom_stake_amount(self, pair: str, current_time: pd.Timestamp,
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