Stop from open with leverage
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@@ -86,7 +86,8 @@ def merge_informative_pair(dataframe: pd.DataFrame, informative: pd.DataFrame,
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def stoploss_from_open(
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open_relative_stop: float,
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current_profit: float,
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is_short: bool = False
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is_short: bool = False,
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leverage: float = 1.0
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) -> float:
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"""
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@@ -102,21 +103,23 @@ def stoploss_from_open(
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:param open_relative_stop: Desired stop loss percentage relative to open price
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:param current_profit: The current profit percentage
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:param is_short: When true, perform the calculation for short instead of long
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:param leverage: Leverage to use for the calculation
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:return: Stop loss value relative to current price
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"""
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# formula is undefined for current_profit -1 (longs) or 1 (shorts), return maximum value
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if (current_profit == -1 and not is_short) or (is_short and current_profit == 1):
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_current_profit = current_profit / leverage
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if (_current_profit == -1 and not is_short) or (is_short and _current_profit == 1):
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return 1
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if is_short is True:
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stoploss = -1 + ((1 - open_relative_stop) / (1 - current_profit))
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stoploss = -1 + ((1 - open_relative_stop / leverage) / (1 - _current_profit))
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else:
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stoploss = 1 - ((1 + open_relative_stop) / (1 + current_profit))
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stoploss = 1 - ((1 + open_relative_stop / leverage) / (1 + _current_profit))
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# negative stoploss values indicate the requested stop price is higher/lower
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# (long/short) than the current price
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return max(stoploss, 0.0)
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return max(stoploss * leverage, 0.0)
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def stoploss_from_absolute(stop_rate: float, current_rate: float, is_short: bool = False) -> float:
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