示例#1
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    def test_price_based_slippage__nan_prices(self):
        slippage_rate = 0.1
        slippage_model = PriceBasedSlippage(slippage_rate, self.data_provider, self.contract_ticker_mapper)

        prices_without_slippage = [float('nan'), np.nan, float('nan')]
        expected_fill_prices = [float('nan'), float('nan'), float('nan')]

        actual_fill_prices, actual_fill_volumes = slippage_model.process_orders(str_to_date("2020-01-01"),
                                                                                self.orders,
                                                                                prices_without_slippage)
        assert_lists_equal(expected_fill_prices, actual_fill_prices)
示例#2
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    def test_price_based_slippage__no_volume_limits(self):
        """Volume should remain the same. Prices should be increased by the slippage rate."""
        slippage_rate = 0.1
        slippage_model = PriceBasedSlippage(slippage_rate, self.data_provider, self.contract_ticker_mapper)

        prices_without_slippage = [20.0, 30.0, 40.0]
        # Each price should be changed by +0.1 / -0.1 depending on whether it is a BUY or SELL
        expected_fill_prices = [22.0, 27.0, 44.0]

        # Volumes should remain equal to the initial quantities
        expected_fill_volumes = [order.quantity for order in self.orders]  # [1250, -200, 1]

        actual_fill_prices, actual_fill_volumes = slippage_model.process_orders(str_to_date("2020-01-01"),
                                                                                self.orders,
                                                                                prices_without_slippage)

        assert_lists_equal(expected_fill_prices, actual_fill_prices)
        assert_lists_equal(expected_fill_volumes, actual_fill_volumes)
示例#3
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    def test_price_based_slippage__with_volume(self):
        """Volume should be changed in case of exceeding limits. Slippage rate is set to 0.0, so the prices should
        remain unchanged."""
        slippage_rate = 0.0
        max_volume_share_limit = 0.1
        slippage_model = PriceBasedSlippage(slippage_rate, self.data_provider, max_volume_share_limit)

        prices_without_slippage = [20.0, 30.0, 40.0]
        expected_fill_prices = prices_without_slippage

        # Mean historical volume is set to 50.0 for each of the tickers. As the max_volume_share_limit = 0.1, the limit
        # is set to +/-5.0
        expected_fill_volumes = [5.0, -5.0, 1]

        actual_fill_prices, actual_fill_volumes = slippage_model.process_orders(str_to_date("2020-01-01"),
                                                                                self.orders,
                                                                                prices_without_slippage)

        assert_lists_equal(expected_fill_prices, actual_fill_prices)
        assert_lists_equal(expected_fill_volumes, actual_fill_volumes)