# pragma pylint: disable=missing-docstring, W0212, line-too-long, C0103, C0330, unused-argument
import logging
from unittest.mock import MagicMock
import pytest
from pandas import DataFrame
from freqtrade.data.history import get_timeframe
from freqtrade.optimize.backtesting import Backtesting
from freqtrade.strategy.interface import SellType
from freqtrade.tests.conftest import patch_exchange
from freqtrade.tests.optimize import (BTContainer, BTrade,
_build_backtest_dataframe,
_get_frame_time_from_offset,
tests_ticker_interval)
# Test 0 Sell signal sell
# Test with Stop-loss at 1%
# TC0: Sell signal in candle 3
tc0 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4987, 5012, 4986, 4600, 6172, 0, 0], # exit with stoploss hit
[3, 5010, 5000, 4980, 5010, 6172, 0, 1],
[4, 5010, 4987, 4977, 4995, 6172, 0, 0],
[5, 4995, 4995, 4995, 4950, 6172, 0, 0]],
stop_loss=-0.01, roi=1, profit_perc=0.002, use_sell_signal=True,
trades=[BTrade(sell_reason=SellType.SELL_SIGNAL, open_tick=1, close_tick=4)]
)
# Test 1 Minus 8% Close
# Test with Stop-loss at 1%
# TC1: Stop-Loss Triggered 1% loss
tc1 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4987, 5012, 4600, 4600, 6172, 0, 0], # exit with stoploss hit
[3, 4975, 5000, 4980, 4977, 6172, 0, 0],
[4, 4977, 4987, 4977, 4995, 6172, 0, 0],
[5, 4995, 4995, 4995, 4950, 6172, 0, 0]],
stop_loss=-0.01, roi=1, profit_perc=-0.01,
trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2)]
)
# Test 2 Minus 4% Low, minus 1% close
# Test with Stop-Loss at 3%
# TC2: Stop-Loss Triggered 3% Loss
tc2 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4987, 5012, 4962, 4975, 6172, 0, 0],
[3, 4975, 5000, 4800, 4962, 6172, 0, 0], # exit with stoploss hit
[4, 4962, 4987, 4937, 4950, 6172, 0, 0],
[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
stop_loss=-0.03, roi=1, profit_perc=-0.03,
trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=3)]
)
# Test 3 Candle drops 4%, Recovers 1%.
# Entry Criteria Met
# Candle drops 20%
# Test with Stop-Loss at 2%
# TC3: Trade-A: Stop-Loss Triggered 2% Loss
# Trade-B: Stop-Loss Triggered 2% Loss
tc3 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4987, 5012, 4800, 4975, 6172, 0, 0], # exit with stoploss hit
[3, 4975, 5000, 4950, 4962, 6172, 1, 0],
[4, 4975, 5000, 4950, 4962, 6172, 0, 0], # enter trade 2 (signal on last candle)
[5, 4962, 4987, 4000, 4000, 6172, 0, 0], # exit with stoploss hit
[6, 4950, 4975, 4975, 4950, 6172, 0, 0]],
stop_loss=-0.02, roi=1, profit_perc=-0.04,
trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2),
BTrade(sell_reason=SellType.STOP_LOSS, open_tick=4, close_tick=5)]
)
# Test 4 Minus 3% / recovery +15%
# Candle Data for test 3 – Candle drops 3% Closed 15% up
# Test with Stop-loss at 2% ROI 6%
# TC4: Stop-Loss Triggered 2% Loss
tc4 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4987, 5750, 4850, 5750, 6172, 0, 0], # Exit with stoploss hit
[3, 4975, 5000, 4950, 4962, 6172, 0, 0],
[4, 4962, 4987, 4937, 4950, 6172, 0, 0],
[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
stop_loss=-0.02, roi=0.06, profit_perc=-0.02,
trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2)]
)
# Test 5 / Drops 0.5% Closes +20%
# Set stop-loss at 1% ROI 3%
# TC5: ROI triggers 3% Gain
tc5 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4980, 4987, 6172, 1, 0],
[1, 5000, 5025, 4980, 4987, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4987, 5025, 4975, 4987, 6172, 0, 0],
[3, 4975, 6000, 4975, 6000, 6172, 0, 0], # ROI
[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
stop_loss=-0.01, roi=0.03, profit_perc=0.03,
trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=3)]
)
# Test 6 / Drops 3% / Recovers 6% Positive / Closes 1% positve
# Set stop-loss at 2% ROI at 5%
# TC6: Stop-Loss triggers 2% Loss
tc6 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0], # enter trade (signal on last candle)
[2, 4987, 5300, 4850, 5050, 6172, 0, 0], # Exit with stoploss
[3, 4975, 5000, 4950, 4962, 6172, 0, 0],
[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
stop_loss=-0.02, roi=0.05, profit_perc=-0.02,
trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=2)]
)
# Test 7 - 6% Positive / 1% Negative / Close 1% Positve
# Set stop-loss at 2% ROI at 3%
# TC7: ROI Triggers 3% Gain
tc7 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
[1, 5000, 5025, 4975, 4987, 6172, 0, 0],
[2, 4987, 5300, 4950, 5050, 6172, 0, 0],
[3, 4975, 5000, 4950, 4962, 6172, 0, 0],
[4, 4962, 4987, 4972, 4950, 6172, 0, 0],
[5, 4950, 4975, 4925, 4950, 6172, 0, 0]],
stop_loss=-0.02, roi=0.03, profit_perc=0.03,
trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=2)]
)
# Test 8 - trailing_stop should raise so candle 3 causes a stoploss.
# Set stop-loss at 10%, ROI at 10% (should not apply)
# TC8: Trailing stoploss - stoploss should be adjusted candle 2
tc8 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5050, 4950, 5000, 6172, 0, 0],
[2, 5000, 5250, 4750, 4850, 6172, 0, 0],
[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.10, roi=0.10, profit_perc=-0.055, trailing_stop=True,
trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3)]
)
# Test 9 - trailing_stop should raise - high and low in same candle.
# Candle Data for test 9
# Set stop-loss at 10%, ROI at 10% (should not apply)
# TC9: Trailing stoploss - stoploss should be adjusted candle 3
tc9 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5050, 4950, 5000, 6172, 0, 0],
[2, 5000, 5050, 4950, 5000, 6172, 0, 0],
[3, 5000, 5200, 4550, 4850, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.10, roi=0.10, profit_perc=-0.064, trailing_stop=True,
trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3)]
)
# Test 10 - trailing_stop should raise so candle 3 causes a stoploss
# without applying trailing_stop_positive since stoploss_offset is at 10%.
# Set stop-loss at 10%, ROI at 10% (should not apply)
# TC10: Trailing stoploss - stoploss should be adjusted candle 2
tc10 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
[2, 5100, 5251, 5100, 5100, 6172, 0, 0],
[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.10, roi=0.10, profit_perc=-0.1, trailing_stop=True,
trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.10,
trailing_stop_positive=0.03,
trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=4)]
)
# Test 11 - trailing_stop should raise so candle 3 causes a stoploss
# applying a positive trailing stop of 3% since stop_positive_offset is reached.
# Set stop-loss at 10%, ROI at 10% (should not apply)
# TC11: Trailing stoploss - stoploss should be adjusted candle 2,
tc11 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
[2, 5100, 5251, 5100, 5100, 6172, 0, 0],
[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.10, roi=0.10, profit_perc=0.019, trailing_stop=True,
trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.05,
trailing_stop_positive=0.03,
trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3)]
)
# Test 12 - trailing_stop should raise in candle 2 and cause a stoploss in the same candle
# applying a positive trailing stop of 3% since stop_positive_offset is reached.
# Set stop-loss at 10%, ROI at 10% (should not apply)
# TC12: Trailing stoploss - stoploss should be adjusted candle 2,
tc12 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
[2, 5100, 5251, 4650, 5100, 6172, 0, 0],
[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.10, roi=0.10, profit_perc=0.019, trailing_stop=True,
trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.05,
trailing_stop_positive=0.03,
trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=2)]
)
TESTS = [
tc0,
tc1,
tc2,
tc3,
tc4,
tc5,
tc6,
tc7,
tc8,
tc9,
tc10,
tc11,
tc12,
]
@pytest.mark.parametrize("data", TESTS)
def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None:
"""
run functional tests
"""
default_conf["stoploss"] = data.stop_loss
default_conf["minimal_roi"] = {"0": data.roi}
default_conf["ticker_interval"] = tests_ticker_interval
default_conf["trailing_stop"] = data.trailing_stop
default_conf["trailing_only_offset_is_reached"] = data.trailing_only_offset_is_reached
# Only add this to configuration If it's necessary
if data.trailing_stop_positive:
default_conf["trailing_stop_positive"] = data.trailing_stop_positive
default_conf["trailing_stop_positive_offset"] = data.trailing_stop_positive_offset
default_conf["experimental"] = {"use_sell_signal": data.use_sell_signal}
mocker.patch("freqtrade.exchange.Exchange.get_fee", MagicMock(return_value=0.0))
patch_exchange(mocker)
frame = _build_backtest_dataframe(data.data)
backtesting = Backtesting(default_conf)
backtesting.advise_buy = lambda a, m: frame
backtesting.advise_sell = lambda a, m: frame
caplog.set_level(logging.DEBUG)
pair = "UNITTEST/BTC"
# Dummy data as we mock the analyze functions
data_processed = {pair: DataFrame()}
min_date, max_date = get_timeframe({pair: frame})
results = backtesting.backtest(
{
'stake_amount': default_conf['stake_amount'],
'processed': data_processed,
'max_open_trades': 10,
'start_date': min_date,
'end_date': max_date,
}
)
print(results.T)
assert len(results) == len(data.trades)
assert round(results["profit_percent"].sum(), 3) == round(data.profit_perc, 3)
for c, trade in enumerate(data.trades):
res = results.iloc[c]
assert res.sell_reason == trade.sell_reason
assert res.open_time == _get_frame_time_from_offset(trade.open_tick)
assert res.close_time == _get_frame_time_from_offset(trade.close_tick)