Update buy-signals to entry wording
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@ -206,7 +206,7 @@ Hyper-optimization will, for each epoch round, pick one trigger and possibly mul
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#### Sell optimization
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Similar to the buy-signal above, sell-signals can also be optimized.
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Similar to the entry-signal above, exit-signals can also be optimized.
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Place the corresponding settings into the following methods
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* Define the parameters at the class level hyperopt shall be optimizing, either naming them `sell_*`, or by explicitly defining `space='sell'`.
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@ -906,7 +906,7 @@ def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatad
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['sine', 9],
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['raise', 10],
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]
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# While buy-signals are unrealistic, running backtesting
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# While entry-signals are unrealistic, running backtesting
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# over and over again should not cause different results
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for [contour, numres] in tests:
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# Debug output for random test failure
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@ -935,7 +935,7 @@ def test_backtest_pricecontours(default_conf, fee, mocker, testdatadir,
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mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
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mocker.patch("freqtrade.exchange.Exchange.get_max_pair_stake_amount", return_value=float('inf'))
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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# While buy-signals are unrealistic, running backtesting
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# While entry-signals are unrealistic, running backtesting
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# over and over again should not cause different results
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assert len(simple_backtest(default_conf, contour, mocker, testdatadir)['results']) == expected
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@ -3784,7 +3784,7 @@ def test_ignore_roi_if_buy_signal(default_conf_usdt, limit_order, limit_order_op
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assert freqtrade.handle_trade(trade) is False
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# Test if buy-signal is absent (should sell due to roi = true)
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# Test if entry-signal is absent (should sell due to roi = true)
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if is_short:
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patch_get_signal(freqtrade, enter_long=False, exit_short=False)
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else:
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@ -4001,7 +4001,7 @@ def test_disable_ignore_roi_if_buy_signal(default_conf_usdt, limit_order, limit_
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patch_get_signal(freqtrade, enter_long=not is_short, enter_short=is_short, exit_short=is_short)
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assert freqtrade.handle_trade(trade) is True
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# Test if buy-signal is absent
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# Test if entry-signal is absent
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patch_get_signal(freqtrade)
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assert freqtrade.handle_trade(trade) is True
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assert trade.sell_reason == SellType.ROI.value
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@ -259,12 +259,12 @@ def test_generate_candlestick_graph_no_trades(default_conf, mocker, testdatadir)
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buy = find_trace_in_fig_data(figure.data, "buy")
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assert isinstance(buy, go.Scatter)
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# All buy-signals should be plotted
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# All entry-signals should be plotted
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assert int(data['enter_long'].sum()) == len(buy.x)
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sell = find_trace_in_fig_data(figure.data, "sell")
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assert isinstance(sell, go.Scatter)
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# All buy-signals should be plotted
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# All entry-signals should be plotted
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assert int(data['exit_long'].sum()) == len(sell.x)
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assert find_trace_in_fig_data(figure.data, "Bollinger Band")
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