def test_returns_latest_buy_signal(mocker):
buydf = DataFrame([{'buy': 1, 'date': arrow.utcnow()}])
mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
assert get_buy_signal('BTC-ETH')
buydf = DataFrame([{'buy': 0, 'date': arrow.utcnow()}])
mocker.patch('freqtrade.analyze.analyze_ticker', return_value=buydf)
assert not get_buy_signal('BTC-ETH')
def create_trade(stake_amount: float) -> Optional[Trade]:
"""
Checks the implemented trading indicator(s) for a randomly picked pair,
if one pair triggers the buy_signal a new trade record gets created
:param stake_amount: amount of btc to spend
"""
logger.info(
'Checking buy signals to create a new trade with stake_amount: %f ...',
stake_amount)
whitelist = copy.deepcopy(_CONF['exchange']['pair_whitelist'])
# Check if stake_amount is fulfilled
if exchange.get_balance(_CONF['stake_currency']) < stake_amount:
raise ValueError('stake amount is not fulfilled (currency={})'.format(
_CONF['stake_currency']))
# Remove currently opened and latest pairs from whitelist
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
if trade.pair in whitelist:
whitelist.remove(trade.pair)
logger.debug('Ignoring %s in pair whitelist', trade.pair)
if not whitelist:
raise ValueError('No pair in whitelist')
# Pick pair based on StochRSI buy signals
for _pair in whitelist:
if get_buy_signal(_pair):
pair = _pair
break
else:
return None
# Calculate amount and subtract fee
fee = exchange.get_fee()
buy_limit = get_target_bid(exchange.get_ticker(pair))
amount = (1 - fee) * stake_amount / buy_limit
order_id = exchange.buy(pair, buy_limit, amount)
# Create trade entity and return
message = '*{}:* Buying [{}]({}) with limit `{:.8f}`'.format(
exchange.get_name().upper(), pair.replace('_', '/'),
exchange.get_pair_detail_url(pair), buy_limit)
logger.info(message)
telegram.send_msg(message)
# Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
return Trade(pair=pair,
stake_amount=stake_amount,
amount=amount,
fee=fee * 2,
open_rate=buy_limit,
open_date=datetime.utcnow(),
exchange=exchange.get_name().upper(),
open_order_id=order_id)
def should_sell(trade: Trade, current_rate: float,
current_time: datetime) -> bool:
"""
Based an earlier trade and current price and configuration, decides whether bot should sell
:return True if bot should sell at current rate
"""
# todo: query model to see if more gains are possible
# get current profit
current_profit = trade.calc_profit(current_rate)
# check how much is available and determine if above dust trade
available = exchange.get_available_balance(get_quote_token(str(
trade.pair)))
satoshi = 1e-08
dust_trade_sat = 50000 * satoshi
trade_amount_btc = available * current_rate
if trade_amount_btc < dust_trade_sat:
logger.debug('Trade is DUST')
logger.debug('Threshold not reached. (cur_profit: %1.2f%%)',
current_profit * 100.0)
logger.debug('Current rate: {}'.format(current_rate))
return False
# determine if stoploss is hit
if 'stoploss' in _CONF and current_profit < float(_CONF['stoploss']):
logger.debug('Stop loss hit.')
return True
# check model (before minimal rois)
if analyzer.name == 'danml':
# check if ema-5 is greater than last minute to continue
# todo: also make sure previous is lower than current
if get_ema_signal(trade.pair, 1, exchange.get_name()):
if get_buy_signal(trade.pair, exchange.get_name(), analyzer):
logger.debug('Threshold not reached. (cur_profit: %1.2f%%)',
current_profit * 100.0)
logger.debug('Current rate: {}'.format(current_rate))
return False
# check minimal rois
for duration, threshold in sorted(_CONF['minimal_roi'].items()):
# Check if time matches and current rate is above threshold
time_diff = (current_time - trade.open_date).total_seconds() / 60
if time_diff > float(duration) and current_profit > threshold:
return True
logger.debug('Threshold not reached. (cur_profit: %1.2f%%)',
current_profit * 100.0)
logger.debug('Current rate: {}'.format(current_rate))
return False
def create_trade(stake_amount: float) -> Optional[Trade]:
"""
Checks the implemented trading indicator(s) for a randomly picked pair,
if one pair triggers the buy_signal a new trade record gets created
:param stake_amount: amount of btc to spend
"""
logger.info('Creating new trade with stake_amount: %f ...', stake_amount)
whitelist = copy.deepcopy(_CONF['exchange']['pair_whitelist'])
# Check if stake_amount is fulfilled
if exchange.get_balance(_CONF['stake_currency']) < stake_amount:
raise ValueError(
'stake amount is not fulfilled (currency={}'.format(_CONF['stake_currency'])
)
# Remove currently opened and latest pairs from whitelist
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
if trade.pair in whitelist:
whitelist.remove(trade.pair)
logger.debug('Ignoring %s in pair whitelist', trade.pair)
if not whitelist:
raise ValueError('No pair in whitelist')
# Pick pair based on StochRSI buy signals
for _pair in whitelist:
if get_buy_signal(_pair):
pair = _pair
break
else:
return None
open_rate = get_target_bid(exchange.get_ticker(pair))
amount = stake_amount / open_rate
order_id = exchange.buy(pair, open_rate, amount)
# Create trade entity and return
message = '*{}:* Buying [{}]({}) at rate `{:f}`'.format(
exchange.EXCHANGE.name.upper(),
pair.replace('_', '/'),
exchange.get_pair_detail_url(pair),
open_rate
)
logger.info(message)
telegram.send_msg(message)
return Trade(pair=pair,
stake_amount=stake_amount,
open_rate=open_rate,
open_date=datetime.utcnow(),
amount=amount,
exchange=exchange.EXCHANGE.name.upper(),
open_order_id=order_id,
is_open=True)
def create_trade(stake_amount: float) -> Optional[Trade]:
"""
Checks the implemented trading indicator(s) for a randomly picked pair,
if one pair triggers the buy_signal a new trade record gets created
:param stake_amount: amount of btc to spend
"""
logger.info('Creating new trade with stake_amount: %f ...', stake_amount)
whitelist = copy.deepcopy(_CONF['exchange']['pair_whitelist'])
# Check if stake_amount is fulfilled
if exchange.get_balance(_CONF['stake_currency']) < stake_amount:
raise ValueError('stake amount is not fulfilled (currency={})'.format(
_CONF['stake_currency']))
# Remove currently opened and latest pairs from whitelist
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
if trade.pair in whitelist:
whitelist.remove(trade.pair)
logger.debug('Ignoring %s in pair whitelist', trade.pair)
# if not whitelist:
# raise ValueError('No pair in whitelist')
# Pick pair based on StochRSI buy signals
if analyzer.name == 'danml':
for _pair in whitelist:
if get_buy_signal(_pair, exchange.get_name(), analyzer):
pair = _pair
break
else:
return None
elif analyzer.name == 'cryptoml':
update = False
if datetime.utcnow().minute % 5 == 0:
update = True
pair = analyzer.get_buy_signal(whitelist,
update=update,
threshold=0.01,
repeats=3)
if pair is None:
return None
# Calculate amount and subtract fee
fee = exchange.get_fee()
buy_limit = get_target_bid(exchange.get_ticker(pair))
amount = (1 - fee) * stake_amount / buy_limit
health = exchange.get_wallet_health()
if exchange.get_name() == 'HitBTC':
token = pair
else:
token = get_quote_token(pair)
token_healthy = False
for status in health:
if status['Currency'] == token:
token_healthy = status['IsActive']
if token_healthy:
order_id = exchange.buy(pair, buy_limit, amount)
# Create trade entity and return
message = '*{}:* Buying [{}]({}) with limit `{:.8f}`'.format(
exchange.get_name().upper(), pair.replace('_', '/'),
exchange.get_pair_detail_url(pair), buy_limit)
logger.info(message)
telegram.send_msg(message)
# Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
return Trade(
pair=pair,
stake_amount=stake_amount,
amount=amount,
fee=fee * 2.,
open_rate=buy_limit,
open_date=datetime.utcnow(),
exchange=exchange.get_name().upper(),
open_order_id=order_id,
# open_order_type='buy'
)