implement trade count lock for backtesting

This commit is contained in:
gcarq 2017-11-21 22:33:34 +01:00
parent f3ba3ddd54
commit 02ca2ed585
3 changed files with 17 additions and 3 deletions

View File

@ -79,6 +79,7 @@ def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
return dataframe
def populate_sell_trend(dataframe: DataFrame) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe

View File

@ -54,6 +54,7 @@ def default_conf():
@pytest.fixture(scope="module")
def backtest_conf():
return {
"max_open_trades": 3,
"stake_currency": "BTC",
"stake_amount": 0.01,
"minimal_roi": {

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@ -85,22 +85,32 @@ def generate_text_table(data: Dict[str, Dict], results: DataFrame, stake_currenc
def backtest(backtest_conf, processed, mocker):
trades = []
trade_count_lock = {}
exchange._API = Bittrex({'key': '', 'secret': ''})
mocker.patch.dict('freqtrade.main._CONF', backtest_conf)
for pair, pair_data in processed.items():
pair_data['buy'] = 0
pair_data['sell'] = 0
pair_data['buy'], pair_data['sell'] = 0, 0
ticker = populate_sell_trend(populate_buy_trend(pair_data))
# for each buy point
for row in ticker[ticker.buy == 1].itertuples(index=True):
# Check if max_open_trades has already been reached for the given date
if not trade_count_lock.get(row.date, 0) < backtest_conf['max_open_trades']:
continue
# Increase lock
trade_count_lock[row.date] = trade_count_lock.get(row.date, 0) + 1
trade = Trade(
open_rate=row.close,
open_date=row.date,
amount=backtest_conf['stake_amount'],
fee=exchange.get_fee() * 2
)
# calculate win/lose forwards from buy point
for row2 in ticker[row.Index:].itertuples(index=True):
for row2 in ticker[row.Index + 1:].itertuples(index=True):
# Increase trade_count_lock for every iteration
trade_count_lock[row2.date] = trade_count_lock.get(row2.date, 0) + 1
if min_roi_reached(trade, row2.close, row2.date) or row2.sell == 1:
current_profit = trade.calc_profit(row2.close)
@ -140,6 +150,8 @@ def test_backtest(backtest_conf, mocker):
config['stake_currency'], config['stake_amount']
))
print('Using max_open_trades: {} ...'.format(config['max_open_trades']))
# Print timeframe
min_date, max_date = get_timeframe(data)
print('Measuring data from {} up to {} ...'.format(