loss of calmar ratio now centered in 0
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@ -7,10 +7,11 @@ from freqtrade.optimize.hyperopt import IHyperOptLoss, MAX_LOSS
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NB_SIMULATIONS = 1000
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SIMULATION_YEAR_DURATION = 3
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CALMAR_LOSS_WEIGHT = 1
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SLIPPAGE_PERCENT = 0.000
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NB_EXPECTED_TRADES = 600
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CALMAR_LOSS_WEIGHT = 0.5
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EXPECTED_TRADES_WEIGHT = 0.5
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@ -64,8 +65,12 @@ class CalmarHyperOptLoss(IHyperOptLoss):
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calmar_ratio = mediam_simulated_annualized_returns/abs_mediam_simulated_drawdowns
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# Normalize loss value to be float between (0, 1) : 0.5 value mean no profit
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calmar_loss = 1 - (norm.cdf(calmar_ratio, 0, 10))
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"""
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Normalize loss value to be float between (-0.5, 0.5)
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0 mean no profit
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"""
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calmar_loss = 0.5 - (norm.cdf(calmar_ratio, 0, 1.5/CALMAR_LOSS_WEIGHT))
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"""
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Normalize loss value to be float between (0, 0.5) :
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Closed to 0 mean trade_count = NB_EXPECTED_TRADES
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