Simplify test slightly
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@ -119,53 +119,54 @@ def test_merge_informative_pair_suffix_append_timeframe():
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merge_informative_pair(data, informative, '15m', '1h', suffix="suf")
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merge_informative_pair(data, informative, '15m', '1h', suffix="suf")
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def test_stoploss_from_open():
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@pytest.mark.parametrize("side,profitrange", [
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# profit range for long is [-1, inf] while for shorts is [-inf, 1]
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("long", [-0.99, 2, 30]),
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("short", [-2.0, 0.99, 30]),
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])
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def test_stoploss_from_open(side, profitrange):
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open_price_ranges = [
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open_price_ranges = [
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[0.01, 1.00, 30],
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[0.01, 1.00, 30],
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[1, 100, 30],
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[1, 100, 30],
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[100, 10000, 30],
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[100, 10000, 30],
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]
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]
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# profit range for long is [-1, inf] while for shorts is [-inf, 1]
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current_profit_range_dict = {'long': [-0.99, 2, 30], 'short': [-2.0, 0.99, 30]}
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desired_stop_range = [-0.50, 0.50, 30]
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for side, current_profit_range in current_profit_range_dict.items():
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for open_range in open_price_ranges:
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for open_range in open_price_ranges:
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for open_price in np.linspace(*open_range):
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for open_price in np.linspace(*open_range):
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for desired_stop in np.linspace(-0.50, 0.50, 30):
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for desired_stop in np.linspace(*desired_stop_range):
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if side == 'long':
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# -1 is not a valid current_profit, should return 1
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assert stoploss_from_open(desired_stop, -1) == 1
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else:
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# 1 is not a valid current_profit for shorts, should return 1
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assert stoploss_from_open(desired_stop, 1, True) == 1
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for current_profit in np.linspace(*profitrange):
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if side == 'long':
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if side == 'long':
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# -1 is not a valid current_profit, should return 1
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current_price = open_price * (1 + current_profit)
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assert stoploss_from_open(desired_stop, -1) == 1
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expected_stop_price = open_price * (1 + desired_stop)
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stoploss = stoploss_from_open(desired_stop, current_profit)
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stop_price = current_price * (1 - stoploss)
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else:
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else:
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# 1 is not a valid current_profit for shorts, should return 1
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current_price = open_price * (1 - current_profit)
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assert stoploss_from_open(desired_stop, 1, True) == 1
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expected_stop_price = open_price * (1 - desired_stop)
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stoploss = stoploss_from_open(desired_stop, current_profit, True)
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stop_price = current_price * (1 + stoploss)
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for current_profit in np.linspace(*current_profit_range):
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assert stoploss >= 0
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if side == 'long':
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# Technically the formula can yield values greater than 1 for shorts
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current_price = open_price * (1 + current_profit)
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# eventhough it doesn't make sense because the position would be liquidated
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expected_stop_price = open_price * (1 + desired_stop)
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if side == 'long':
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stoploss = stoploss_from_open(desired_stop, current_profit)
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assert stoploss <= 1
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stop_price = current_price * (1 - stoploss)
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else:
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current_price = open_price * (1 - current_profit)
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expected_stop_price = open_price * (1 - desired_stop)
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stoploss = stoploss_from_open(desired_stop, current_profit, True)
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stop_price = current_price * (1 + stoploss)
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assert stoploss >= 0
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# there is no correct answer if the expected stop price is above
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# Technically the formula can yield values greater than 1 for shorts
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# the current price
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# eventhough it doesn't make sense because the position would be liquidated
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if ((side == 'long' and expected_stop_price > current_price)
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if side == 'long':
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or (side == 'short' and expected_stop_price < current_price)):
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assert stoploss <= 1
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assert stoploss == 0
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else:
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# there is no correct answer if the expected stop price is above
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assert pytest.approx(stop_price) == expected_stop_price
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# the current price
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if ((side == 'long' and expected_stop_price > current_price)
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or (side == 'short' and expected_stop_price < current_price)):
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assert stoploss == 0
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else:
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assert pytest.approx(stop_price) == expected_stop_price
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def test_stoploss_from_absolute():
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def test_stoploss_from_absolute():
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