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clean up prints during hyperopt

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Janne Sinivirta 2017-11-12 09:44:31 +02:00
parent 660f01b514
commit 8e68c5358e
1 changed files with 7 additions and 5 deletions
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12
freqtrade/tests/test_hyperopt.py
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@ -16,11 +16,10 @@ logging.disable(logging.DEBUG) # disable debug logs that slow backtesting a lot
# set TARGET_TRADES to suit your number concurrent trades so its realistic to 20days of data # set TARGET_TRADES to suit your number concurrent trades so its realistic to 20days of data
TARGET_TRADES = 1300 TARGET_TRADES = 1300
TOTAL_TRIES = 4
current_tries = 0
def buy_strategy_generator(params): def buy_strategy_generator(params):
print(params)
def populate_buy_trend(dataframe: DataFrame) -> DataFrame: def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
conditions = [] conditions = []
# GUARDS AND TRENDS # GUARDS AND TRENDS
@ -76,7 +75,6 @@ def test_hyperopt(backtest_conf, backdata, mocker):
results = backtest(backtest_conf, backdata, mocker) results = backtest(backtest_conf, backdata, mocker)
result = format_results(results) result = format_results(results)
print(result)
total_profit = results.profit.sum() * 1000 total_profit = results.profit.sum() * 1000
trade_count = len(results.index) trade_count = len(results.index)
@ -84,6 +82,10 @@ def test_hyperopt(backtest_conf, backdata, mocker):
trade_loss = 1 - 0.4 * exp(-(trade_count - TARGET_TRADES) ** 2 / 10 ** 5.2) trade_loss = 1 - 0.4 * exp(-(trade_count - TARGET_TRADES) ** 2 / 10 ** 5.2)
profit_loss = max(0, 1 - total_profit / 15000) # max profit 15000 profit_loss = max(0, 1 - total_profit / 15000) # max profit 15000
global current_tries
current_tries += 1
print('{}/{}: {}'.format(current_tries, TOTAL_TRIES, result))
return { return {
'loss': trade_loss + profit_loss, 'loss': trade_loss + profit_loss,
'status': STATUS_OK, 'status': STATUS_OK,
@ -139,7 +141,7 @@ def test_hyperopt(backtest_conf, backdata, mocker):
]), ]),
} }
trials = Trials() trials = Trials()
best = fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=4, trials=trials) best = fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=TOTAL_TRIES, trials=trials)
print('\n\n\n\n==================== HYPEROPT BACKTESTING REPORT ==============================') print('\n\n\n\n==================== HYPEROPT BACKTESTING REPORT ==============================')
print('Best parameters {}'.format(best)) print('Best parameters {}'.format(best))
newlist = sorted(trials.results, key=itemgetter('loss')) newlist = sorted(trials.results, key=itemgetter('loss'))