stable/tests/optimize/test_backtest_detail.py

# 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 tests.conftest import patch_exchange
from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
                            _get_frame_time_from_offset, tests_ticker_interval)

# Test 0: Sell with signal sell in candle 3
# Test with Stop-loss at 1%
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: Stop-Loss Triggered 1% loss
# Test with Stop-loss at 1%
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 = 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: Multiple trades.
#         Candle drops 4%, Recovers 1%.
#         Entry Criteria Met
#         Candle drops 20%
#  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%
# 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%, ROI triggers 3% Gain
# stop-loss: 1%, ROI: 3%
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, Stop-Loss triggers 2% Loss
# stop-loss: 2% ROI: 5%
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, ROI Triggers 3% Gain
# stop-loss: 2% ROI: 3%
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.
# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted in 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.
# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted in 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%.
# stop-loss: 10%, ROI: 10% (should not apply), stoploss 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.
# stop-loss: 10%, ROI: 10% (should not apply), stoploss 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.
# stop-loss: 10%, ROI: 10% (should not apply), stoploss 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)]
)

# Test 13: Buy and sell ROI on same candle
# stop-loss: 10% (should not apply), ROI: 1%
tc13 = BTContainer(data=[
    # D   O     H     L     C    V    B  S
    [0, 5000, 5050, 4950, 5000, 6172, 1, 0],
    [1, 5000, 5100, 4950, 5100, 6172, 0, 0],
    [2, 5100, 5251, 4850, 5100, 6172, 0, 0],
    [3, 4850, 5050, 4850, 4750, 6172, 0, 0],
    [4, 4750, 4950, 4850, 4750, 6172, 0, 0]],
    stop_loss=-0.10, roi=0.01, profit_perc=0.01,
    trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=1)]
)

# Test 14 - Buy and Stoploss on same candle
# stop-loss: 5%, ROI: 10% (should not apply)
tc14 = BTContainer(data=[
    # D   O     H     L     C    V    B  S
    [0, 5000, 5050, 4950, 5000, 6172, 1, 0],
    [1, 5000, 5100, 4600, 5100, 6172, 0, 0],
    [2, 5100, 5251, 4850, 5100, 6172, 0, 0],
    [3, 4850, 5050, 4850, 4750, 6172, 0, 0],
    [4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
    stop_loss=-0.05, roi=0.10, profit_perc=-0.05,
    trades=[BTrade(sell_reason=SellType.STOP_LOSS, open_tick=1, close_tick=1)]
)


# Test 15 - Buy and ROI on same candle, followed by buy and Stoploss on next candle
# stop-loss: 5%, ROI: 10% (should not apply)
tc15 = BTContainer(data=[
    # D   O     H     L     C    V    B  S
    [0, 5000, 5050, 4950, 5000, 6172, 1, 0],
    [1, 5000, 5100, 4900, 5100, 6172, 1, 0],
    [2, 5100, 5251, 4650, 5100, 6172, 0, 0],
    [3, 4850, 5050, 4850, 4750, 6172, 0, 0],
    [4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
    stop_loss=-0.05, roi=0.01, profit_perc=-0.04,
    trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=1),
            BTrade(sell_reason=SellType.STOP_LOSS, open_tick=2, close_tick=2)]
)

TESTS = [
    tc0,
    tc1,
    tc2,
    tc3,
    tc4,
    tc5,
    tc6,
    tc7,
    tc8,
    tc9,
    tc10,
    tc11,
    tc12,
    tc13,
    tc14,
    tc15,
]


@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)