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Merge pull request #78 from gcarq/refactor-backtest

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Refactor backtest functionality
This commit is contained in:
Janne Sinivirta 2017-10-25 18:19:44 +03:00 committed by GitHub
commit 9c9cf76a0d
2 changed files with 24 additions and 57 deletions
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19
freqtrade/tests/test_backtesting.py
View File

@ -21,6 +21,10 @@ def print_results(results):
results.duration.mean() * 5
))
def print_pair_results(pair, results):
print('For currency {}:'.format(pair))
print_results(results[results.currency == pair])
@pytest.fixture
def pairs():
return ['btc-neo', 'btc-eth', 'btc-omg', 'btc-edg', 'btc-pay',
@ -38,9 +42,7 @@ def conf():
"stoploss": -0.40
}
@pytest.mark.skipif(not os.environ.get('BACKTEST', False), reason="BACKTEST not set")
def test_backtest(conf, pairs, mocker):
def backtest(conf, pairs, mocker):
trades = []
mocker.patch.dict('freqtrade.main._CONF', conf)
for pair in pairs:
@ -64,14 +66,15 @@ def test_backtest(conf, pairs, mocker):
trades.append((pair, current_profit, index2 - index))
break
labels = ['currency', 'profit', 'duration']
results = DataFrame.from_records(trades, columns=labels)
return results
@pytest.mark.skipif(not os.environ.get('BACKTEST', False), reason="BACKTEST not set")
def test_backtest(conf, pairs, mocker, report=True):
results = backtest(conf, pairs, mocker)
print('====================== BACKTESTING REPORT ================================')
for pair in pairs:
print('For currency {}:'.format(pair))
print_results(results[results.currency == pair])
[print_pair_results(pair, results) for pair in pairs]
print('TOTAL OVER ALL TRADES:')
print_results(results)

62
freqtrade/tests/test_hyperopt.py
View File

@ -14,15 +14,9 @@ from freqtrade.analyze import analyze_ticker
from freqtrade.main import should_sell
from freqtrade.persistence import Trade
logging.disable(logging.DEBUG) # disable debug logs that slow backtesting a lot
from freqtrade.tests.test_backtesting import backtest, print_results
def print_results(results):
print('Made {} buys. Average profit {:.2f}%. Total profit was {:.3f}. Average duration {:.1f} mins.'.format(
len(results.index),
results.profit.mean() * 100.0,
results.profit.sum(),
results.duration.mean() * 5
))
logging.disable(logging.DEBUG) # disable debug logs that slow backtesting a lot
@pytest.fixture
def pairs():
@ -41,44 +35,6 @@ def conf():
"stoploss": -0.05
}
def backtest(conf, pairs, mocker, buy_strategy):
trades = []
mocker.patch.dict('freqtrade.main._CONF', conf)
for pair in pairs:
with open('freqtrade/tests/testdata/'+pair+'.json') as data_file:
data = json.load(data_file)
mocker.patch('freqtrade.analyze.get_ticker_history', return_value=data)
mocker.patch('arrow.utcnow', return_value=arrow.get('2017-08-20T14:50:00'))
mocker.patch('freqtrade.analyze.populate_buy_trend', side_effect=buy_strategy)
ticker = analyze_ticker(pair)
# for each buy point
for index, row in ticker[ticker.buy == 1].iterrows():
trade = Trade(
open_rate=row['close'],
open_date=arrow.get(row['date']).datetime,
amount=1,
)
# calculate win/lose forwards from buy point
for index2, row2 in ticker[index:].iterrows():
if should_sell(trade, row2['close'], arrow.get(row2['date']).datetime):
current_profit = (row2['close'] - trade.open_rate) / trade.open_rate
trades.append((pair, current_profit, index2 - index))
break
labels = ['currency', 'profit', 'duration']
results = DataFrame.from_records(trades, columns=labels)
print_results(results)
# set the value below to suit your number concurrent trades so its realistic to 20days of data
TARGET_TRADES = 1200
if results.profit.sum() == 0 or results.profit.mean() == 0:
return 49999999999 # avoid division by zero, return huge value to discard result
return abs(len(results.index) - 1200.1) / (results.profit.sum() ** 2) * results.duration.mean() # the smaller the better
def buy_strategy_generator(params):
print(params)
def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
@ -120,9 +76,18 @@ def buy_strategy_generator(params):
@pytest.mark.skipif(not os.environ.get('BACKTEST', False), reason="BACKTEST not set")
def test_hyperopt(conf, pairs, mocker):
def optimizer(params):
return backtest(conf, pairs, mocker, buy_strategy_generator(params))
buy_strategy = buy_strategy_generator(params)
mocker.patch('freqtrade.analyze.populate_buy_trend', side_effect=buy_strategy)
results = backtest(conf, pairs, mocker)
print_results(results)
# set the value below to suit your number concurrent trades so its realistic to 20days of data
TARGET_TRADES = 1200
if results.profit.sum() == 0 or results.profit.mean() == 0:
return 49999999999 # avoid division by zero, return huge value to discard result
return abs(len(results.index) - 1200.1) / (results.profit.sum() ** 2) * results.duration.mean() # the smaller the better
space = {
'mfi': hp.choice('mfi', [
@ -162,5 +127,4 @@ def test_hyperopt(conf, pairs, mocker):
{'type': 'faststoch10'}
]),
}
print('Best parameters {}'.format(fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=40)))