refactor General bt-utils out of detailed backtest file
This commit is contained in:
parent
e442e22a20
commit
9e921d4410
@ -0,0 +1,45 @@
|
||||
from typing import NamedTuple, List
|
||||
|
||||
import arrow
|
||||
from pandas import DataFrame
|
||||
|
||||
from freqtrade.strategy.interface import SellType
|
||||
|
||||
ticker_start_time = arrow.get(2018, 10, 3)
|
||||
ticker_interval_in_minute = 60
|
||||
|
||||
|
||||
class BTrade(NamedTuple):
|
||||
"""
|
||||
Minimalistic Trade result used for functional backtesting
|
||||
"""
|
||||
sell_reason: SellType
|
||||
open_tick: int
|
||||
close_tick: int
|
||||
|
||||
|
||||
class BTContainer(NamedTuple):
|
||||
"""
|
||||
Minimal BacktestContainer defining Backtest inputs and results.
|
||||
"""
|
||||
data: List[float]
|
||||
stop_loss: float
|
||||
roi: float
|
||||
trades: List[BTrade]
|
||||
profit_perc: float
|
||||
|
||||
|
||||
def _get_frame_time_from_offset(offset):
|
||||
return ticker_start_time.shift(
|
||||
minutes=(offset * ticker_interval_in_minute)).datetime
|
||||
|
||||
|
||||
def _build_backtest_dataframe(ticker_with_signals):
|
||||
columns = ['date', 'open', 'high', 'low', 'close', 'volume', 'buy', 'sell']
|
||||
|
||||
frame = DataFrame.from_records(ticker_with_signals, columns=columns)
|
||||
frame['date'] = frame['date'].apply(_get_frame_time_from_offset)
|
||||
# Ensure floats are in place
|
||||
for column in ['open', 'high', 'low', 'close', 'volume']:
|
||||
frame[column] = frame[column].astype('float64')
|
||||
return frame
|
@ -1,56 +1,16 @@
|
||||
# pragma pylint: disable=missing-docstring, W0212, line-too-long, C0103, unused-argument
|
||||
import logging
|
||||
from unittest.mock import MagicMock
|
||||
from typing import NamedTuple, List
|
||||
|
||||
from pandas import DataFrame
|
||||
import pytest
|
||||
import arrow
|
||||
|
||||
|
||||
from freqtrade.optimize.backtesting import Backtesting
|
||||
from freqtrade.strategy.interface import SellType
|
||||
from freqtrade.tests.conftest import patch_exchange, log_has
|
||||
|
||||
|
||||
ticker_start_time = arrow.get(2018, 10, 3)
|
||||
ticker_interval_in_minute = 60
|
||||
|
||||
|
||||
class BTrade(NamedTuple):
|
||||
"""
|
||||
Minimalistic Trade result used for functional backtesting
|
||||
"""
|
||||
sell_reason: SellType
|
||||
open_tick: int
|
||||
close_tick: int
|
||||
|
||||
|
||||
class BTContainer(NamedTuple):
|
||||
"""
|
||||
Minimal BacktestContainer defining Backtest inputs and results.
|
||||
"""
|
||||
data: List[float]
|
||||
stop_loss: float
|
||||
roi: float
|
||||
trades: List[BTrade]
|
||||
profit_perc: float
|
||||
|
||||
|
||||
def _get_frame_time_from_offset(offset):
|
||||
return ticker_start_time.shift(
|
||||
minutes=(offset * ticker_interval_in_minute)).datetime
|
||||
|
||||
|
||||
def _build_backtest_dataframe(ticker_with_signals):
|
||||
columns = ['date', 'open', 'high', 'low', 'close', 'volume', 'buy', 'sell']
|
||||
|
||||
frame = DataFrame.from_records(ticker_with_signals, columns=columns)
|
||||
frame['date'] = frame['date'].apply(_get_frame_time_from_offset)
|
||||
# Ensure floats are in place
|
||||
for column in ['open', 'high', 'low', 'close', 'volume']:
|
||||
frame[column] = frame[column].astype('float64')
|
||||
return frame
|
||||
from freqtrade.tests.optimize import (BTrade, BTContainer, _build_backtest_dataframe,
|
||||
_get_frame_time_from_offset)
|
||||
from freqtrade.tests.conftest import patch_exchange
|
||||
|
||||
|
||||
# Test 0 Minus 8% Close
|
||||
@ -180,8 +140,6 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None:
|
||||
"""
|
||||
default_conf["stoploss"] = data.stop_loss
|
||||
default_conf["minimal_roi"] = {"0": data.roi}
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
|
||||
# TODO: don't Mock fee to for now
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.0))
|
||||
patch_exchange(mocker)
|
||||
frame = _build_backtest_dataframe(data.data)
|
||||
|
Loading…
Reference in New Issue
Block a user