320 lines
13 KiB
Python
320 lines
13 KiB
Python
# pragma pylint: disable=missing-docstring, W0212, line-too-long, C0103, C0330, unused-argument
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import logging
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from unittest.mock import MagicMock
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import pytest
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from pandas import DataFrame
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from freqtrade.data.history import get_timeframe
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from freqtrade.optimize.backtesting import Backtesting
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from freqtrade.strategy.interface import SellType
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from tests.conftest import patch_exchange
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from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
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_get_frame_time_from_offset, tests_ticker_interval)
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# Test 0: Sell with signal sell in candle 3
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# Test with Stop-loss at 1%
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tc0 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
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[2, 4987, 5012, 4986, 4600, 6172, 0, 0], # exit with stoploss hit
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[3, 5010, 5000, 4980, 5010, 6172, 0, 1],
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[4, 5010, 4987, 4977, 4995, 6172, 0, 0],
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[5, 4995, 4995, 4995, 4950, 6172, 0, 0]],
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stop_loss=-0.01, roi=1, profit_perc=0.002, use_sell_signal=True,
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trades=[BTrade(sell_reason=SellType.SELL_SIGNAL, open_tick=1, close_tick=4)]
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)
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# Test 1: Stop-Loss Triggered 1% loss
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# Test with Stop-loss at 1%
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tc1 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
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[2, 4987, 5012, 4600, 4600, 6172, 0, 0], # exit with stoploss hit
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[3, 4975, 5000, 4980, 4977, 6172, 0, 0],
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[4, 4977, 4987, 4977, 4995, 6172, 0, 0],
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[5, 4995, 4995, 4995, 4950, 6172, 0, 0]],
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stop_loss=-0.01, roi=1, profit_perc=-0.01,
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trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2)]
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)
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# Test 2: Minus 4% Low, minus 1% close
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# Test with Stop-Loss at 3%
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tc2 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
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[2, 4987, 5012, 4962, 4975, 6172, 0, 0],
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[3, 4975, 5000, 4800, 4962, 6172, 0, 0], # exit with stoploss hit
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[4, 4962, 4987, 4937, 4950, 6172, 0, 0],
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[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.03, roi=1, profit_perc=-0.03,
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trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=3)]
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)
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# Test 3: Multiple trades.
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# Candle drops 4%, Recovers 1%.
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# Entry Criteria Met
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# Candle drops 20%
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# Trade-A: Stop-Loss Triggered 2% Loss
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# Trade-B: Stop-Loss Triggered 2% Loss
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tc3 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
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[2, 4987, 5012, 4800, 4975, 6172, 0, 0], # exit with stoploss hit
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[3, 4975, 5000, 4950, 4962, 6172, 1, 0],
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[4, 4975, 5000, 4950, 4962, 6172, 0, 0], # enter trade 2 (signal on last candle)
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[5, 4962, 4987, 4000, 4000, 6172, 0, 0], # exit with stoploss hit
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[6, 4950, 4975, 4975, 4950, 6172, 0, 0]],
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stop_loss=-0.02, roi=1, profit_perc=-0.04,
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trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2),
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BTrade(sell_reason=SellType.STOP_LOSS, open_tick=4, close_tick=5)]
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)
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# Test 4: Minus 3% / recovery +15%
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# Candle Data for test 3 – Candle drops 3% Closed 15% up
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# Test with Stop-loss at 2% ROI 6%
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# Stop-Loss Triggered 2% Loss
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tc4 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
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[2, 4987, 5750, 4850, 5750, 6172, 0, 0], # Exit with stoploss hit
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[3, 4975, 5000, 4950, 4962, 6172, 0, 0],
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[4, 4962, 4987, 4937, 4950, 6172, 0, 0],
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[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.02, roi=0.06, profit_perc=-0.02,
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trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2)]
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)
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# Test 5: Drops 0.5% Closes +20%, ROI triggers 3% Gain
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# stop-loss: 1%, ROI: 3%
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tc5 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4980, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4980, 4987, 6172, 0, 0], # enter trade (signal on last candle)
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[2, 4987, 5025, 4975, 4987, 6172, 0, 0],
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[3, 4975, 6000, 4975, 6000, 6172, 0, 0], # ROI
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[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
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[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.01, roi=0.03, profit_perc=0.03,
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=3)]
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)
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# Test 6: Drops 3% / Recovers 6% Positive / Closes 1% positve, Stop-Loss triggers 2% Loss
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# stop-loss: 2% ROI: 5%
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tc6 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
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[2, 4987, 5300, 4850, 5050, 6172, 0, 0], # Exit with stoploss
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[3, 4975, 5000, 4950, 4962, 6172, 0, 0],
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[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
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[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.02, roi=0.05, profit_perc=-0.02,
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trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2)]
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)
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# Test 7: 6% Positive / 1% Negative / Close 1% Positve, ROI Triggers 3% Gain
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# stop-loss: 2% ROI: 3%
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tc7 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
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[1, 5000, 5025, 4975, 4987, 6172, 0, 0],
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[2, 4987, 5300, 4950, 5050, 6172, 0, 0],
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[3, 4975, 5000, 4950, 4962, 6172, 0, 0],
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[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
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[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
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stop_loss=-0.02, roi=0.03, profit_perc=0.03,
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=2)]
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)
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# Test 8: trailing_stop should raise so candle 3 causes a stoploss.
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# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted in candle 2
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tc8 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5050, 4950, 5000, 6172, 0, 0],
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[2, 5000, 5250, 4750, 4850, 6172, 0, 0],
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[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
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[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
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stop_loss=-0.10, roi=0.10, profit_perc=-0.055, trailing_stop=True,
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trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3)]
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)
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# Test 9: trailing_stop should raise - high and low in same candle.
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# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted in candle 3
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tc9 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5050, 4950, 5000, 6172, 0, 0],
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[2, 5000, 5050, 4950, 5000, 6172, 0, 0],
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[3, 5000, 5200, 4550, 4850, 6172, 0, 0],
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[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
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stop_loss=-0.10, roi=0.10, profit_perc=-0.064, trailing_stop=True,
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trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3)]
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)
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# Test 10: trailing_stop should raise so candle 3 causes a stoploss
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# without applying trailing_stop_positive since stoploss_offset is at 10%.
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# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted candle 2
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tc10 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
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[2, 5100, 5251, 5100, 5100, 6172, 0, 0],
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[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
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[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
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stop_loss=-0.10, roi=0.10, profit_perc=-0.1, trailing_stop=True,
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trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.10,
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trailing_stop_positive=0.03,
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trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=4)]
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)
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# Test 11: trailing_stop should raise so candle 3 causes a stoploss
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# applying a positive trailing stop of 3% since stop_positive_offset is reached.
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# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted candle 2
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tc11 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
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[2, 5100, 5251, 5100, 5100, 6172, 0, 0],
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[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
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[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
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stop_loss=-0.10, roi=0.10, profit_perc=0.019, trailing_stop=True,
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trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.05,
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trailing_stop_positive=0.03,
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trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3)]
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)
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# Test 12: trailing_stop should raise in candle 2 and cause a stoploss in the same candle
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# applying a positive trailing stop of 3% since stop_positive_offset is reached.
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# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted candle 2
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tc12 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
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[2, 5100, 5251, 4650, 5100, 6172, 0, 0],
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[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
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[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
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stop_loss=-0.10, roi=0.10, profit_perc=0.019, trailing_stop=True,
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trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.05,
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trailing_stop_positive=0.03,
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trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=2)]
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)
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# Test 13: Buy and sell ROI on same candle
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# stop-loss: 10% (should not apply), ROI: 1%
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tc13 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5100, 4950, 5100, 6172, 0, 0],
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[2, 5100, 5251, 4850, 5100, 6172, 0, 0],
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[3, 4850, 5050, 4850, 4750, 6172, 0, 0],
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[4, 4750, 4950, 4850, 4750, 6172, 0, 0]],
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stop_loss=-0.10, roi=0.01, profit_perc=0.01,
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=1)]
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)
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# Test 14 - Buy and Stoploss on same candle
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# stop-loss: 5%, ROI: 10% (should not apply)
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tc14 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5100, 4600, 5100, 6172, 0, 0],
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[2, 5100, 5251, 4850, 5100, 6172, 0, 0],
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[3, 4850, 5050, 4850, 4750, 6172, 0, 0],
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[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
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stop_loss=-0.05, roi=0.10, profit_perc=-0.05,
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trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=1)]
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)
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# Test 15 - Buy and ROI on same candle, followed by buy and Stoploss on next candle
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# stop-loss: 5%, ROI: 10% (should not apply)
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tc15 = BTContainer(data=[
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# D O H L C V B S
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[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
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[1, 5000, 5100, 4900, 5100, 6172, 1, 0],
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[2, 5100, 5251, 4650, 5100, 6172, 0, 0],
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[3, 4850, 5050, 4850, 4750, 6172, 0, 0],
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[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
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stop_loss=-0.05, roi=0.01, profit_perc=-0.04,
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trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=1),
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BTrade(sell_reason=SellType.STOP_LOSS, open_tick=2, close_tick=2)]
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)
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TESTS = [
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tc0,
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tc1,
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tc2,
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tc3,
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tc4,
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tc5,
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tc6,
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tc7,
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tc8,
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tc9,
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tc10,
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tc11,
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tc12,
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tc13,
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tc14,
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tc15,
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]
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@pytest.mark.parametrize("data", TESTS)
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def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None:
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"""
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run functional tests
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"""
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default_conf["stoploss"] = data.stop_loss
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default_conf["minimal_roi"] = {"0": data.roi}
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default_conf["ticker_interval"] = tests_ticker_interval
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default_conf["trailing_stop"] = data.trailing_stop
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default_conf["trailing_only_offset_is_reached"] = data.trailing_only_offset_is_reached
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# Only add this to configuration If it's necessary
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if data.trailing_stop_positive:
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default_conf["trailing_stop_positive"] = data.trailing_stop_positive
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default_conf["trailing_stop_positive_offset"] = data.trailing_stop_positive_offset
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default_conf["experimental"] = {"use_sell_signal": data.use_sell_signal}
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mocker.patch("freqtrade.exchange.Exchange.get_fee", MagicMock(return_value=0.0))
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patch_exchange(mocker)
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frame = _build_backtest_dataframe(data.data)
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backtesting = Backtesting(default_conf)
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backtesting.advise_buy = lambda a, m: frame
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backtesting.advise_sell = lambda a, m: frame
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caplog.set_level(logging.DEBUG)
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pair = "UNITTEST/BTC"
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# Dummy data as we mock the analyze functions
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data_processed = {pair: DataFrame()}
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min_date, max_date = get_timeframe({pair: frame})
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results = backtesting.backtest(
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{
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'stake_amount': default_conf['stake_amount'],
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'processed': data_processed,
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'max_open_trades': 10,
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'start_date': min_date,
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'end_date': max_date,
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}
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)
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assert len(results) == len(data.trades)
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assert round(results["profit_percent"].sum(), 3) == round(data.profit_perc, 3)
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for c, trade in enumerate(data.trades):
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res = results.iloc[c]
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assert res.sell_reason == trade.sell_reason
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assert res.open_time == _get_frame_time_from_offset(trade.open_tick)
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assert res.close_time == _get_frame_time_from_offset(trade.close_tick)
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