def test_min_roi_reached(default_conf, fee) -> None:
# Use list to confirm sequence does not matter
min_roi_list = [{20: 0.05, 55: 0.01, 0: 0.1},
{0: 0.1, 20: 0.05, 55: 0.01}]
for roi in min_roi_list:
default_conf.update({'strategy': 'DefaultStrategy'})
strategy = StrategyResolver.load_strategy(default_conf)
strategy.minimal_roi = roi
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
open_rate=1,
)
assert not strategy.min_roi_reached(trade, 0.02, arrow.utcnow().shift(minutes=-56).datetime)
assert strategy.min_roi_reached(trade, 0.12, arrow.utcnow().shift(minutes=-56).datetime)
assert not strategy.min_roi_reached(trade, 0.04, arrow.utcnow().shift(minutes=-39).datetime)
assert strategy.min_roi_reached(trade, 0.06, arrow.utcnow().shift(minutes=-39).datetime)
assert not strategy.min_roi_reached(trade, -0.01, arrow.utcnow().shift(minutes=-1).datetime)
assert strategy.min_roi_reached(trade, 0.02, arrow.utcnow().shift(minutes=-1).datetime)
def test_calc_profit(limit_buy_order, limit_sell_order, fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_rate=0.00001099,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'something'
trade.update(limit_buy_order) # Buy @ 0.00001099
# Custom closing rate and regular fee rate
# Higher than open rate
assert trade.calc_profit(rate=0.00001234) == 0.00011753
# Lower than open rate
assert trade.calc_profit(rate=0.00000123) == -0.00089086
# Custom closing rate and custom fee rate
# Higher than open rate
assert trade.calc_profit(rate=0.00001234, fee=0.003) == 0.00011697
# Lower than open rate
assert trade.calc_profit(rate=0.00000123, fee=0.003) == -0.00089092
# Test when we apply a Sell order. Sell higher than open rate @ 0.00001173
trade.update(limit_sell_order)
assert trade.calc_profit() == 0.00006217
# Test with a custom fee rate on the close trade
assert trade.calc_profit(fee=0.003) == 0.00006163
def test_calc_profit_ratio(limit_buy_order, limit_sell_order, fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_rate=0.00001099,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'something'
trade.update(limit_buy_order) # Buy @ 0.00001099
# Get percent of profit with a custom rate (Higher than open rate)
assert trade.calc_profit_ratio(rate=0.00001234) == 0.11723875
# Get percent of profit with a custom rate (Lower than open rate)
assert trade.calc_profit_ratio(rate=0.00000123) == -0.88863828
# Test when we apply a Sell order. Sell higher than open rate @ 0.00001173
trade.update(limit_sell_order)
assert trade.calc_profit_ratio() == 0.06201058
# Test with a custom fee rate on the close trade
assert trade.calc_profit_ratio(fee=0.003) == 0.06147824
def generate_mock_trade(pair: str,
fee: float,
is_open: bool,
sell_reason: str = SellType.SELL_SIGNAL,
min_ago_open: int = None,
min_ago_close: int = None,
profit_rate: float = 0.9):
open_rate = random.random()
trade = Trade(
pair=pair,
stake_amount=0.01,
fee_open=fee,
fee_close=fee,
open_date=datetime.utcnow() - timedelta(minutes=min_ago_open or 200),
close_date=datetime.utcnow() - timedelta(minutes=min_ago_close or 30),
open_rate=open_rate,
is_open=is_open,
amount=0.01 / open_rate,
exchange='binance',
)
trade.recalc_open_trade_value()
if not is_open:
trade.close(open_rate * profit_rate)
trade.sell_reason = sell_reason
return trade
def test_fee_updated(fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
fee_open=fee.return_value,
open_date=arrow.utcnow().shift(hours=-2).datetime,
amount=10,
fee_close=fee.return_value,
exchange='bittrex',
open_rate=1,
max_rate=1,
)
assert trade.fee_open_currency is None
assert not trade.fee_updated('buy')
assert not trade.fee_updated('sell')
assert not trade.fee_updated('asdf')
trade.update_fee(0.15, 'BTC', 0.0075, 'buy')
assert trade.fee_updated('buy')
assert not trade.fee_updated('sell')
assert trade.fee_open_currency is not None
assert trade.fee_close_currency is None
trade.update_fee(0.15, 'ABC', 0.0075, 'sell')
assert trade.fee_updated('buy')
assert trade.fee_updated('sell')
assert not trade.fee_updated('asfd')
def test_min_roi_reached3(default_conf, fee) -> None:
# test for issue #1948
min_roi = {20: 0.07,
30: 0.05,
55: 0.30,
}
default_conf.update({'strategy': 'DefaultStrategy'})
strategy = StrategyResolver.load_strategy(default_conf)
strategy.minimal_roi = min_roi
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
open_rate=1,
)
assert not strategy.min_roi_reached(trade, 0.02, arrow.utcnow().shift(minutes=-56).datetime)
assert not strategy.min_roi_reached(trade, 0.12, arrow.utcnow().shift(minutes=-56).datetime)
assert not strategy.min_roi_reached(trade, 0.04, arrow.utcnow().shift(minutes=-39).datetime)
assert strategy.min_roi_reached(trade, 0.071, arrow.utcnow().shift(minutes=-39).datetime)
assert not strategy.min_roi_reached(trade, 0.04, arrow.utcnow().shift(minutes=-26).datetime)
assert strategy.min_roi_reached(trade, 0.06, arrow.utcnow().shift(minutes=-26).datetime)
# Should not trigger with 20% profit since after 55 minutes only 30% is active.
assert not strategy.min_roi_reached(trade, 0.20, arrow.utcnow().shift(minutes=-2).datetime)
assert strategy.min_roi_reached(trade, 0.31, arrow.utcnow().shift(minutes=-2).datetime)
def test_update_market_order(market_buy_order, market_sell_order, fee, caplog):
trade = Trade(
id=1,
pair='ETH/BTC',
stake_amount=0.001,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'something'
trade.update(market_buy_order)
assert trade.open_order_id is None
assert trade.open_rate == 0.00004099
assert trade.close_profit is None
assert trade.close_date is None
assert log_has(
"MARKET_BUY has been fulfilled for Trade(id=1, "
"pair=ETH/BTC, amount=91.99181073, open_rate=0.00004099, open_since=closed).",
caplog)
caplog.clear()
trade.open_order_id = 'something'
trade.update(market_sell_order)
assert trade.open_order_id is None
assert trade.close_rate == 0.00004173
assert trade.close_profit == 0.01297561
assert trade.close_date is not None
assert log_has(
"MARKET_SELL has been fulfilled for Trade(id=1, "
"pair=ETH/BTC, amount=91.99181073, open_rate=0.00004099, open_since=closed).",
caplog)
def _get_sell_trade_entry(
self, pair: str, buy_row: DataFrame,
partial_ticker: List, trade_count_lock: Dict, args: Dict) -> Optional[Tuple]:
stake_amount = args['stake_amount']
max_open_trades = args.get('max_open_trades', 0)
trade = Trade(
open_rate=buy_row.close + self.slippage, #implement slippage 0.01 for buy_row
open_date=buy_row.date,
stake_amount=stake_amount,
amount=stake_amount / buy_row.open,
fee=exchange.get_fee()
)
# calculate win/lose forwards from buy point
for sell_row in partial_ticker:
if max_open_trades > 0:
# Increase trade_count_lock for every iteration
trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1
buy_signal = sell_row.buy
#implement slippage 0.01 for sell_row
if self.analyze.should_sell(trade, sell_row.close - self.slippage, sell_row.date, buy_signal,
sell_row.sell):
return \
sell_row, \
(
pair,
trade.calc_profit_percent(rate=sell_row.close),
trade.calc_profit(rate=sell_row.close),
(sell_row.date - buy_row.date).seconds // 60
), \
sell_row.date
return None
def test_adjust_min_max_rates(fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
open_rate=1,
)
trade.adjust_min_max_rates(trade.open_rate)
assert trade.max_rate == 1
assert trade.min_rate == 1
# check min adjusted, max remained
trade.adjust_min_max_rates(0.96)
assert trade.max_rate == 1
assert trade.min_rate == 0.96
# check max adjusted, min remains
trade.adjust_min_max_rates(1.05)
assert trade.max_rate == 1.05
assert trade.min_rate == 0.96
# current rate "in the middle" - no adjustment
trade.adjust_min_max_rates(1.03)
assert trade.max_rate == 1.05
assert trade.min_rate == 0.96
def test_trade_close(limit_buy_order, limit_sell_order, fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
open_rate=0.01,
amount=5,
is_open=True,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=arrow.Arrow(2020, 2, 1, 15, 5, 1).datetime,
exchange='bittrex',
)
assert trade.close_profit is None
assert trade.close_date is None
assert trade.is_open is True
trade.close(0.02)
assert trade.is_open is False
assert trade.close_profit == 0.99002494
assert trade.close_date is not None
new_date = arrow.Arrow(2020, 2, 2, 15, 6, 1).datetime,
assert trade.close_date != new_date
# Close should NOT update close_date if the trade has been closed already
assert trade.is_open is False
trade.close_date = new_date
trade.close(0.02)
assert trade.close_date == new_date
def test_backtest(conf, pairs, mocker):
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'))
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('====================== BACKTESTING REPORT ================================')
for pair in pairs:
print('For currency {}:'.format(pair))
print_results(results[results.currency == pair])
print('TOTAL OVER ALL TRADES:')
print_results(results)
def test_min_roi_reached2(default_conf, fee) -> None:
# test with ROI raising after last interval
min_roi_list = [
{
20: 0.07,
30: 0.05,
55: 0.30,
0: 0.1
},
{
0: 0.1,
20: 0.07,
30: 0.05,
55: 0.30
},
]
for roi in min_roi_list:
default_conf.update({'strategy': 'DefaultStrategy'})
strategy = StrategyResolver.load_strategy(default_conf)
strategy.minimal_roi = roi
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=5,
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
open_rate=1,
)
assert not strategy.min_roi_reached(
trade, 0.02,
arrow.utcnow().shift(minutes=-56).datetime)
assert strategy.min_roi_reached(
trade, 0.12,
arrow.utcnow().shift(minutes=-56).datetime)
assert not strategy.min_roi_reached(
trade, 0.04,
arrow.utcnow().shift(minutes=-39).datetime)
assert strategy.min_roi_reached(
trade, 0.071,
arrow.utcnow().shift(minutes=-39).datetime)
assert not strategy.min_roi_reached(
trade, 0.04,
arrow.utcnow().shift(minutes=-26).datetime)
assert strategy.min_roi_reached(
trade, 0.06,
arrow.utcnow().shift(minutes=-26).datetime)
# Should not trigger with 20% profit since after 55 minutes only 30% is active.
assert not strategy.min_roi_reached(
trade, 0.20,
arrow.utcnow().shift(minutes=-2).datetime)
assert strategy.min_roi_reached(
trade, 0.31,
arrow.utcnow().shift(minutes=-2).datetime)
def backtest(backtest_conf, backdata, mocker):
trades = []
exchange._API = Bittrex({'key': '', 'secret': ''})
mocked_history = mocker.patch('freqtrade.analyze.get_ticker_history')
mocker.patch.dict('freqtrade.main._CONF', backtest_conf)
mocker.patch('arrow.utcnow', return_value=arrow.get('2017-08-20T14:50:00'))
for pair, pair_data in backdata.items():
mocked_history.return_value = pair_data
ticker = analyze_ticker(pair)[['close', 'date', 'buy']].copy()
# for each buy point
for row in ticker[ticker.buy == 1].itertuples(index=True):
trade = Trade(open_rate=row.close,
open_date=row.date,
amount=1,
fee=exchange.get_fee() * 2)
# calculate win/lose forwards from buy point
for row2 in ticker[row.Index:].itertuples(index=True):
if should_sell(trade, row2.close, row2.date):
current_profit = trade.calc_profit(row2.close)
trades.append(
(pair, current_profit, row2.Index - row.Index))
break
labels = ['currency', 'profit', 'duration']
results = DataFrame.from_records(trades, columns=labels)
return results
def backtest(backtest_conf, processed, mocker):
trades = []
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
ticker = populate_sell_trend(populate_buy_trend(pair_data))
# for each buy point
for row in ticker[ticker.buy == 1].itertuples(index=True):
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):
if min_roi_reached(trade, row2.close,
row2.date) or row2.sell == 1:
current_profit = trade.calc_profit(row2.close)
trades.append(
(pair, current_profit, row2.Index - row.Index))
break
labels = ['currency', 'profit', 'duration']
return DataFrame.from_records(trades, columns=labels)
def test_clean_dry_run_db(default_conf, fee):
# Simulate dry_run entries
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
open_order_id='dry_run_buy_12345'
)
Trade.session.add(trade)
trade = Trade(
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
open_order_id='dry_run_sell_12345'
)
Trade.session.add(trade)
# Simulate prod entry
trade = Trade(
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
open_order_id='prod_buy_12345'
)
Trade.session.add(trade)
# We have 3 entries: 2 dry_run, 1 prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 3
clean_dry_run_db()
# We have now only the prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 1
def test_api_performance(botclient, fee):
ftbot, client = botclient
patch_get_signal(ftbot)
trade = Trade(
pair='LTC/ETH',
amount=1,
exchange='binance',
stake_amount=1,
open_rate=0.245441,
open_order_id="123456",
is_open=False,
fee_close=fee.return_value,
fee_open=fee.return_value,
close_rate=0.265441,
)
trade.close_profit = trade.calc_profit_ratio()
trade.close_profit_abs = trade.calc_profit()
Trade.query.session.add(trade)
trade = Trade(
pair='XRP/ETH',
amount=5,
stake_amount=1,
exchange='binance',
open_rate=0.412,
open_order_id="123456",
is_open=False,
fee_close=fee.return_value,
fee_open=fee.return_value,
close_rate=0.391
)
trade.close_profit = trade.calc_profit_ratio()
trade.close_profit_abs = trade.calc_profit()
Trade.query.session.add(trade)
Trade.commit()
rc = client_get(client, f"{BASE_URI}/performance")
assert_response(rc)
assert len(rc.json()) == 2
assert rc.json() == [{'count': 1, 'pair': 'LTC/ETH', 'profit': 7.61, 'profit_pct': 7.61,
'profit_ratio': 0.07609203, 'profit_abs': 0.01872279},
{'count': 1, 'pair': 'XRP/ETH', 'profit': -5.57, 'profit_pct': -5.57,
'profit_ratio': -0.05570419, 'profit_abs': -0.1150375}]
def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected,
trailing, custom, profit2, adjusted2, expected2,
custom_stop) -> None:
default_conf.update({'strategy': 'DefaultStrategy'})
strategy = StrategyResolver.load_strategy(default_conf)
trade = Trade(
pair='ETH/BTC',
stake_amount=0.01,
amount=1,
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
open_rate=1,
)
trade.adjust_min_max_rates(trade.open_rate)
strategy.trailing_stop = trailing
strategy.trailing_stop_positive = -0.05
strategy.use_custom_stoploss = custom
original_stopvalue = strategy.custom_stoploss
if custom_stop:
strategy.custom_stoploss = custom_stop
now = arrow.utcnow().datetime
sl_flag = strategy.stop_loss_reached(current_rate=trade.open_rate *
(1 + profit),
trade=trade,
current_time=now,
current_profit=profit,
force_stoploss=0,
high=None,
dataframe=None)
assert isinstance(sl_flag, SellCheckTuple)
assert sl_flag.sell_type == expected
if expected == SellType.NONE:
assert sl_flag.sell_flag is False
else:
assert sl_flag.sell_flag is True
assert round(trade.stop_loss, 2) == adjusted
sl_flag = strategy.stop_loss_reached(current_rate=trade.open_rate *
(1 + profit2),
trade=trade,
current_time=now,
current_profit=profit2,
force_stoploss=0,
high=None,
dataframe=None)
assert sl_flag.sell_type == expected2
if expected2 == SellType.NONE:
assert sl_flag.sell_flag is False
else:
assert sl_flag.sell_flag is True
assert round(trade.stop_loss, 2) == adjusted2
strategy.custom_stoploss = original_stopvalue
def test_api_forcebuy(botclient, mocker, fee):
ftbot, client = botclient
rc = client_post(client,
f"{BASE_URI}/forcebuy",
data='{"pair": "ETH/BTC"}')
assert_response(rc, 502)
assert rc.json == {
"error": "Error querying _forcebuy: Forcebuy not enabled."
}
# enable forcebuy
ftbot.config["forcebuy_enable"] = True
fbuy_mock = MagicMock(return_value=None)
mocker.patch("freqtrade.rpc.RPC._rpc_forcebuy", fbuy_mock)
rc = client_post(client,
f"{BASE_URI}/forcebuy",
data='{"pair": "ETH/BTC"}')
assert_response(rc)
assert rc.json == {"status": "Error buying pair ETH/BTC."}
# Test creating trae
fbuy_mock = MagicMock(return_value=Trade(
pair='ETH/ETH',
amount=1,
exchange='bittrex',
stake_amount=1,
open_rate=0.245441,
open_order_id="123456",
open_date=datetime.utcnow(),
is_open=False,
fee_close=fee.return_value,
fee_open=fee.return_value,
close_rate=0.265441,
))
mocker.patch("freqtrade.rpc.RPC._rpc_forcebuy", fbuy_mock)
rc = client_post(client,
f"{BASE_URI}/forcebuy",
data='{"pair": "ETH/BTC"}')
assert_response(rc)
assert rc.json == {
'amount': 1,
'close_date': None,
'close_date_hum': None,
'close_rate': 0.265441,
'initial_stop_loss': None,
'initial_stop_loss_pct': None,
'open_date': ANY,
'open_date_hum': 'just now',
'open_rate': 0.245441,
'pair': 'ETH/ETH',
'stake_amount': 1,
'stop_loss': None,
'stop_loss_pct': None,
'trade_id': None
}
def test_stoploss_reinitialization(default_conf, fee):
init(default_conf['db_url'])
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
fee_open=fee.return_value,
open_date=arrow.utcnow().shift(hours=-2).datetime,
amount=10,
fee_close=fee.return_value,
exchange='bittrex',
open_rate=1,
max_rate=1,
)
trade.adjust_stop_loss(trade.open_rate, 0.05, True)
assert trade.stop_loss == 0.95
assert trade.stop_loss_pct == -0.05
assert trade.initial_stop_loss == 0.95
assert trade.initial_stop_loss_pct == -0.05
Trade.session.add(trade)
# Lower stoploss
Trade.stoploss_reinitialization(0.06)
trades = Trade.get_open_trades()
assert len(trades) == 1
trade_adj = trades[0]
assert trade_adj.stop_loss == 0.94
assert trade_adj.stop_loss_pct == -0.06
assert trade_adj.initial_stop_loss == 0.94
assert trade_adj.initial_stop_loss_pct == -0.06
# Raise stoploss
Trade.stoploss_reinitialization(0.04)
trades = Trade.get_open_trades()
assert len(trades) == 1
trade_adj = trades[0]
assert trade_adj.stop_loss == 0.96
assert trade_adj.stop_loss_pct == -0.04
assert trade_adj.initial_stop_loss == 0.96
assert trade_adj.initial_stop_loss_pct == -0.04
# Trailing stoploss (move stoplos up a bit)
trade.adjust_stop_loss(1.02, 0.04)
assert trade_adj.stop_loss == 0.9792
assert trade_adj.initial_stop_loss == 0.96
Trade.stoploss_reinitialization(0.04)
trades = Trade.get_open_trades()
assert len(trades) == 1
trade_adj = trades[0]
# Stoploss should not change in this case.
assert trade_adj.stop_loss == 0.9792
assert trade_adj.stop_loss_pct == -0.04
assert trade_adj.initial_stop_loss == 0.96
assert trade_adj.initial_stop_loss_pct == -0.04
def test_api_performance(botclient, mocker, ticker, fee):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
trade = Trade(
pair='LTC/ETH',
amount=1,
exchange='binance',
stake_amount=1,
open_rate=0.245441,
open_order_id="123456",
is_open=False,
fee_close=fee.return_value,
fee_open=fee.return_value,
close_rate=0.265441,
)
trade.close_profit = trade.calc_profit_percent()
Trade.session.add(trade)
trade = Trade(pair='XRP/ETH',
amount=5,
stake_amount=1,
exchange='binance',
open_rate=0.412,
open_order_id="123456",
is_open=False,
fee_close=fee.return_value,
fee_open=fee.return_value,
close_rate=0.391)
trade.close_profit = trade.calc_profit_percent()
Trade.session.add(trade)
Trade.session.flush()
rc = client_get(client, f"{BASE_URI}/performance")
assert_response(rc)
assert len(rc.json) == 2
assert rc.json == [{
'count': 1,
'pair': 'LTC/ETH',
'profit': 7.61
}, {
'count': 1,
'pair': 'XRP/ETH',
'profit': -5.57
}]
def test_clean_dry_run_db(default_conf):
init(default_conf, create_engine('sqlite://'))
# Simulate dry_run entries
trade = Trade(
pair='BTC_ETH',
stake_amount=0.001,
amount=123.0,
fee=0.0025,
open_rate=0.123,
exchange='BITTREX',
open_order_id='dry_run_buy_12345'
)
Trade.session.add(trade)
trade = Trade(
pair='BTC_ETC',
stake_amount=0.001,
amount=123.0,
fee=0.0025,
open_rate=0.123,
exchange='BITTREX',
open_order_id='dry_run_sell_12345'
)
Trade.session.add(trade)
# Simulate prod entry
trade = Trade(
pair='BTC_ETC',
stake_amount=0.001,
amount=123.0,
fee=0.0025,
open_rate=0.123,
exchange='BITTREX',
open_order_id='prod_buy_12345'
)
Trade.session.add(trade)
# We have 3 entries: 2 dry_run, 1 prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 3
clean_dry_run_db()
# We have now only the prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 1
def create_mock_trades(fee):
"""
Create some fake trades ...
"""
# Simulate dry_run entries
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
open_order_id='dry_run_buy_12345'
)
Trade.session.add(trade)
trade = Trade(
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
close_rate=0.128,
close_profit=0.005,
exchange='bittrex',
is_open=False,
open_order_id='dry_run_sell_12345'
)
Trade.session.add(trade)
# Simulate prod entry
trade = Trade(
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
open_order_id='prod_buy_12345'
)
Trade.session.add(trade)
def test_update_invalid_order(limit_buy_order):
trade = Trade(
pair='BTC_ETH',
stake_amount=1.00,
fee=0.1,
exchange=Exchanges.BITTREX,
)
limit_buy_order['type'] = 'invalid'
with pytest.raises(ValueError, match=r'Unknown order type'):
trade.update(limit_buy_order)
def test_update_invalid_order(limit_buy_order):
trade = Trade(
pair='ETH/BTC',
stake_amount=1.00,
fee_open=0.1,
fee_close=0.1,
exchange='bittrex',
)
limit_buy_order['type'] = 'invalid'
with pytest.raises(ValueError, match=r'Unknown order type'):
trade.update(limit_buy_order)
def open_trade():
return Trade(pair='ETH/BTC',
open_rate=0.00001099,
exchange='bittrex',
open_order_id='123456789',
amount=90.99181073,
fee_open=0.0,
fee_close=0.0,
stake_amount=1,
open_date=arrow.utcnow().shift(minutes=-601).datetime,
is_open=True)
def test_calc_close_trade_price_exception(limit_buy_order):
trade = Trade(
pair='BTC_ETH',
stake_amount=0.001,
fee=0.0025,
exchange=Exchanges.BITTREX,
)
trade.open_order_id = 'something'
trade.update(limit_buy_order)
assert trade.calc_close_trade_price() == 0.0
def test_calc_close_trade_price_exception(limit_buy_order, fee):
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'something'
trade.update(limit_buy_order)
assert trade.calc_close_trade_price() == 0.0
def execute_buy(self, pair: str, stake_amount: float) -> bool:
"""
Executes a limit buy for the given pair
:param pair: pair for which we want to create a LIMIT_BUY
:return: None
"""
pair_s = pair.replace('_', '/')
pair_url = self.exchange.get_pair_detail_url(pair)
stake_currency = self.config['stake_currency']
fiat_currency = self.config.get('fiat_display_currency', None)
# Calculate amount
buy_limit = self.get_target_bid(pair, self.exchange.get_ticker(pair))
min_stake_amount = self._get_min_pair_stake_amount(pair_s, buy_limit)
if min_stake_amount is not None and min_stake_amount > stake_amount:
logger.warning(
f'Can\'t open a new trade for {pair_s}: stake amount'
f' is too small ({stake_amount} < {min_stake_amount})')
return False
amount = stake_amount / buy_limit
order_id = self.exchange.buy(pair, buy_limit, amount)['id']
self.rpc.send_msg({
'type': RPCMessageType.BUY_NOTIFICATION,
'exchange': self.exchange.name.capitalize(),
'pair': pair_s,
'market_url': pair_url,
'limit': buy_limit,
'stake_amount': stake_amount,
'stake_currency': stake_currency,
'fiat_currency': fiat_currency
})
# Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
fee = self.exchange.get_fee(symbol=pair, taker_or_maker='maker')
trade = Trade(pair=pair,
stake_amount=stake_amount,
amount=amount,
fee_open=fee,
fee_close=fee,
open_rate=buy_limit,
open_rate_requested=buy_limit,
open_date=datetime.utcnow(),
exchange=self.exchange.id,
open_order_id=order_id,
strategy=self.strategy.get_strategy_name(),
ticker_interval=constants.TICKER_INTERVAL_MINUTES[
self.config['ticker_interval']])
Trade.session.add(trade)
Trade.session.flush()
return True
def test_update_with_bittrex(limit_buy_order, limit_sell_order, fee):
"""
On this test we will buy and sell a crypto currency.
Buy
- Buy: 90.99181073 Crypto at 0.00001099 BTC
(90.99181073*0.00001099 = 0.0009999 BTC)
- Buying fee: 0.25%
- Total cost of buy trade: 0.001002500 BTC
((90.99181073*0.00001099) + ((90.99181073*0.00001099)*0.0025))
Sell
- Sell: 90.99181073 Crypto at 0.00001173 BTC
(90.99181073*0.00001173 = 0,00106733394 BTC)
- Selling fee: 0.25%
- Total cost of sell trade: 0.001064666 BTC
((90.99181073*0.00001173) - ((90.99181073*0.00001173)*0.0025))
Profit/Loss: +0.000062166 BTC
(Sell:0.001064666 - Buy:0.001002500)
Profit/Loss percentage: 0.0620
((0.001064666/0.001002500)-1 = 6.20%)
:param limit_buy_order:
:param limit_sell_order:
:return:
"""
trade = Trade(
pair='ETH/BTC',
stake_amount=0.001,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
)
assert trade.open_order_id is None
assert trade.open_rate is None
assert trade.close_profit is None
assert trade.close_date is None
trade.open_order_id = 'something'
trade.update(limit_buy_order)
assert trade.open_order_id is None
assert trade.open_rate == 0.00001099
assert trade.close_profit is None
assert trade.close_date is None
trade.open_order_id = 'something'
trade.update(limit_sell_order)
assert trade.open_order_id is None
assert trade.close_rate == 0.00001173
assert trade.close_profit == 0.06201057
assert trade.close_date is not None
def _get_sell_trade_entry(self, pair: str, buy_row: DataFrame,
partial_ticker: List, trade_count_lock: Dict,
args: Dict) -> Optional[BacktestResult]:
stake_amount = args['stake_amount']
max_open_trades = args.get('max_open_trades', 0)
trade = Trade(open_rate=buy_row.close,
open_date=buy_row.date,
stake_amount=stake_amount,
amount=stake_amount / buy_row.open,
fee_open=self.fee,
fee_close=self.fee)
# calculate win/lose forwards from buy point
for sell_row in partial_ticker:
if max_open_trades > 0:
# Increase trade_count_lock for every iteration
trade_count_lock[sell_row.date] = trade_count_lock.get(
sell_row.date, 0) + 1
buy_signal = sell_row.buy
if self.analyze.should_sell(trade, sell_row.close, sell_row.date,
buy_signal, sell_row.sell):
return BacktestResult(
pair=pair,
profit_percent=trade.calc_profit_percent(
rate=sell_row.close),
profit_abs=trade.calc_profit(rate=sell_row.close),
open_time=buy_row.date,
close_time=sell_row.date,
trade_duration=(sell_row.date - buy_row.date).seconds //
60,
open_index=buy_row.Index,
close_index=sell_row.Index,
open_at_end=False)
if partial_ticker:
# no sell condition found - trade stil open at end of backtest period
sell_row = partial_ticker[-1]
btr = BacktestResult(
pair=pair,
profit_percent=trade.calc_profit_percent(rate=sell_row.close),
profit_abs=trade.calc_profit(rate=sell_row.close),
open_time=buy_row.date,
close_time=sell_row.date,
trade_duration=(sell_row.date - buy_row.date).seconds // 60,
open_index=buy_row.Index,
close_index=sell_row.Index,
open_at_end=True)
logger.debug('Force_selling still open trade %s with %s perc - %s',
btr.pair, btr.profit_percent, btr.profit_abs)
return btr
return None
