Merge upstream

This commit is contained in:
மனோஜ்குமார் பழனிச்சாமி
2022-05-18 02:08:25 +05:30
parent 2dbeb12511
commit 3dd03151a5
42 changed files with 567 additions and 162 deletions

View File

@@ -79,6 +79,12 @@ def start_download_data(args: Dict[str, Any]) -> None:
data_format_trades=config['dataformat_trades'],
)
else:
if not exchange._ft_has.get('ohlcv_has_history', True):
raise OperationalException(
f"Historic klines not available for {exchange.name}. "
"Please use `--dl-trades` instead for this exchange "
"(will unfortunately take a long time)."
)
pairs_not_available = refresh_backtest_ohlcv_data(
exchange, pairs=expanded_pairs, timeframes=config['timeframes'],
datadir=config['datadir'], timerange=timerange,

View File

@@ -40,7 +40,7 @@ class HDF5DataHandler(IDataHandler):
return [
(
cls.rebuild_pair_from_filename(match[1]),
match[2],
cls.rebuild_timeframe_from_filename(match[2]),
CandleType.from_string(match[3])
) for match in _tmp if match and len(match.groups()) > 1]
@@ -109,7 +109,11 @@ class HDF5DataHandler(IDataHandler):
)
if not filename.exists():
return pd.DataFrame(columns=self._columns)
# Fallback mode for 1M files
filename = self._pair_data_filename(
self._datadir, pair, timeframe, candle_type=candle_type, no_timeframe_modify=True)
if not filename.exists():
return pd.DataFrame(columns=self._columns)
where = []
if timerange:
if timerange.starttype == 'date':

View File

@@ -26,7 +26,7 @@ logger = logging.getLogger(__name__)
class IDataHandler(ABC):
_OHLCV_REGEX = r'^([a-zA-Z_-]+)\-(\d+\S)\-?([a-zA-Z_]*)?(?=\.)'
_OHLCV_REGEX = r'^([a-zA-Z_-]+)\-(\d+[a-zA-Z]{1,2})\-?([a-zA-Z_]*)?(?=\.)'
def __init__(self, datadir: Path) -> None:
self._datadir = datadir
@@ -193,10 +193,14 @@ class IDataHandler(ABC):
datadir: Path,
pair: str,
timeframe: str,
candle_type: CandleType
candle_type: CandleType,
no_timeframe_modify: bool = False
) -> Path:
pair_s = misc.pair_to_filename(pair)
candle = ""
if not no_timeframe_modify:
timeframe = cls.timeframe_to_file(timeframe)
if candle_type != CandleType.SPOT:
datadir = datadir.joinpath('futures')
candle = f"-{candle_type}"
@@ -210,6 +214,18 @@ class IDataHandler(ABC):
filename = datadir.joinpath(f'{pair_s}-trades.{cls._get_file_extension()}')
return filename
@staticmethod
def timeframe_to_file(timeframe: str):
return timeframe.replace('M', 'Mo')
@staticmethod
def rebuild_timeframe_from_filename(timeframe: str) -> str:
"""
converts timeframe from disk to file
Replaces mo with M (to avoid problems on case-insensitive filesystems)
"""
return re.sub('1mo', '1M', timeframe, flags=re.IGNORECASE)
@staticmethod
def rebuild_pair_from_filename(pair: str) -> str:
"""

View File

@@ -41,7 +41,7 @@ class JsonDataHandler(IDataHandler):
return [
(
cls.rebuild_pair_from_filename(match[1]),
match[2],
cls.rebuild_timeframe_from_filename(match[2]),
CandleType.from_string(match[3])
) for match in _tmp if match and len(match.groups()) > 1]
@@ -103,9 +103,14 @@ class JsonDataHandler(IDataHandler):
:param candle_type: Any of the enum CandleType (must match trading mode!)
:return: DataFrame with ohlcv data, or empty DataFrame
"""
filename = self._pair_data_filename(self._datadir, pair, timeframe, candle_type=candle_type)
filename = self._pair_data_filename(
self._datadir, pair, timeframe, candle_type=candle_type)
if not filename.exists():
return DataFrame(columns=self._columns)
# Fallback mode for 1M files
filename = self._pair_data_filename(
self._datadir, pair, timeframe, candle_type=candle_type, no_timeframe_modify=True)
if not filename.exists():
return DataFrame(columns=self._columns)
try:
pairdata = read_json(filename, orient='values')
pairdata.columns = self._columns

View File

@@ -16,8 +16,7 @@ import arrow
import ccxt
import ccxt.async_support as ccxt_async
from cachetools import TTLCache
from ccxt.base.decimal_to_precision import (ROUND_DOWN, ROUND_UP, TICK_SIZE, TRUNCATE,
decimal_to_precision)
from ccxt import ROUND_DOWN, ROUND_UP, TICK_SIZE, TRUNCATE, Precise, decimal_to_precision
from pandas import DataFrame
from freqtrade.constants import (DEFAULT_AMOUNT_RESERVE_PERCENT, NON_OPEN_EXCHANGE_STATES, BuySell,
@@ -64,6 +63,7 @@ class Exchange:
"time_in_force_parameter": "timeInForce",
"ohlcv_params": {},
"ohlcv_candle_limit": 500,
"ohlcv_has_history": True, # Some exchanges (Kraken) don't provide history via ohlcv
"ohlcv_partial_candle": True,
"ohlcv_require_since": False,
# Check https://github.com/ccxt/ccxt/issues/10767 for removal of ohlcv_volume_currency
@@ -308,12 +308,15 @@ class Exchange:
if self.log_responses:
logger.info(f"API {endpoint}: {response}")
def ohlcv_candle_limit(self, timeframe: str) -> int:
def ohlcv_candle_limit(
self, timeframe: str, candle_type: CandleType, since_ms: Optional[int] = None) -> int:
"""
Exchange ohlcv candle limit
Uses ohlcv_candle_limit_per_timeframe if the exchange has different limits
per timeframe (e.g. bittrex), otherwise falls back to ohlcv_candle_limit
:param timeframe: Timeframe to check
:param candle_type: Candle-type
:param since_ms: Starting timestamp
:return: Candle limit as integer
"""
return int(self._ft_has.get('ohlcv_candle_limit_per_timeframe', {}).get(
@@ -615,19 +618,28 @@ class Exchange:
Checks if required startup_candles is more than ohlcv_candle_limit().
Requires a grace-period of 5 candles - so a startup-period up to 494 is allowed by default.
"""
candle_limit = self.ohlcv_candle_limit(timeframe)
candle_limit = self.ohlcv_candle_limit(
timeframe, self._config['candle_type_def'],
int(date_minus_candles(timeframe, startup_candles).timestamp() * 1000)
if timeframe else None)
# Require one more candle - to account for the still open candle.
candle_count = startup_candles + 1
# Allow 5 calls to the exchange per pair
required_candle_call_count = int(
(candle_count / candle_limit) + (0 if candle_count % candle_limit == 0 else 1))
if self._ft_has['ohlcv_has_history']:
if required_candle_call_count > 5:
# Only allow 5 calls per pair to somewhat limit the impact
if required_candle_call_count > 5:
# Only allow 5 calls per pair to somewhat limit the impact
raise OperationalException(
f"This strategy requires {startup_candles} candles to start, "
"which is more than 5x "
f"the amount of candles {self.name} provides for {timeframe}.")
elif required_candle_call_count > 1:
raise OperationalException(
f"This strategy requires {startup_candles} candles to start, which is more than 5x "
f"This strategy requires {startup_candles} candles to start, which is more than "
f"the amount of candles {self.name} provides for {timeframe}.")
if required_candle_call_count > 1:
logger.warning(f"Using {required_candle_call_count} calls to get OHLCV. "
f"This can result in slower operations for the bot. Please check "
@@ -691,10 +703,11 @@ class Exchange:
# counting_mode=self.precisionMode,
# ))
if self.precisionMode == TICK_SIZE:
precision = self.markets[pair]['precision']['price']
missing = price % precision
if missing != 0:
price = round(price - missing + precision, 10)
precision = Precise(str(self.markets[pair]['precision']['price']))
price_str = Precise(str(price))
missing = price_str % precision
if not missing == Precise("0"):
price = round(float(str(price_str - missing + precision)), 14)
else:
symbol_prec = self.markets[pair]['precision']['price']
big_price = price * pow(10, symbol_prec)
@@ -1444,6 +1457,23 @@ class Exchange:
except ccxt.BaseError as e:
raise OperationalException(e) from e
def _get_price_side(self, side: str, is_short: bool, conf_strategy: Dict) -> str:
price_side = conf_strategy['price_side']
if price_side in ('same', 'other'):
price_map = {
('entry', 'long', 'same'): 'bid',
('entry', 'long', 'other'): 'ask',
('entry', 'short', 'same'): 'ask',
('entry', 'short', 'other'): 'bid',
('exit', 'long', 'same'): 'ask',
('exit', 'long', 'other'): 'bid',
('exit', 'short', 'same'): 'bid',
('exit', 'short', 'other'): 'ask',
}
price_side = price_map[(side, 'short' if is_short else 'long', price_side)]
return price_side
def get_rate(self, pair: str, refresh: bool, # noqa: max-complexity: 13
side: EntryExit, is_short: bool,
order_book: Optional[dict] = None, ticker: Optional[dict] = None) -> float:
@@ -1471,20 +1501,7 @@ class Exchange:
conf_strategy = self._config.get(strat_name, {})
price_side = conf_strategy['price_side']
if price_side in ('same', 'other'):
price_map = {
('entry', 'long', 'same'): 'bid',
('entry', 'long', 'other'): 'ask',
('entry', 'short', 'same'): 'ask',
('entry', 'short', 'other'): 'bid',
('exit', 'long', 'same'): 'ask',
('exit', 'long', 'other'): 'bid',
('exit', 'short', 'same'): 'bid',
('exit', 'short', 'other'): 'ask',
}
price_side = price_map[(side, 'short' if is_short else 'long', price_side)]
price_side = self._get_price_side(side, is_short, conf_strategy)
price_side_word = price_side.capitalize()
@@ -1735,7 +1752,8 @@ class Exchange:
:param candle_type: Any of the enum CandleType (must match trading mode!)
"""
one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(timeframe)
one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(
timeframe, candle_type, since_ms)
logger.debug(
"one_call: %s msecs (%s)",
one_call,
@@ -1771,7 +1789,8 @@ class Exchange:
if (not since_ms
and (self._ft_has["ohlcv_require_since"] or self.required_candle_call_count > 1)):
# Multiple calls for one pair - to get more history
one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(timeframe)
one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(
timeframe, candle_type, since_ms)
move_to = one_call * self.required_candle_call_count
now = timeframe_to_next_date(timeframe)
since_ms = int((now - timedelta(seconds=move_to // 1000)).timestamp() * 1000)
@@ -1889,7 +1908,9 @@ class Exchange:
pair, timeframe, since_ms, s
)
params = deepcopy(self._ft_has.get('ohlcv_params', {}))
candle_limit = self.ohlcv_candle_limit(timeframe)
candle_limit = self.ohlcv_candle_limit(
timeframe, candle_type=candle_type, since_ms=since_ms)
if candle_type != CandleType.SPOT:
params.update({'price': candle_type})
if candle_type != CandleType.FUNDING_RATE:
@@ -2706,9 +2727,10 @@ def timeframe_to_msecs(timeframe: str) -> int:
def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
"""
Use Timeframe and determine last possible candle.
Use Timeframe and determine the candle start date for this date.
Does not round when given a candle start date.
:param timeframe: timeframe in string format (e.g. "5m")
:param date: date to use. Defaults to utcnow()
:param date: date to use. Defaults to now(utc)
:returns: date of previous candle (with utc timezone)
"""
if not date:
@@ -2723,7 +2745,7 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
"""
Use Timeframe and determine next candle.
:param timeframe: timeframe in string format (e.g. "5m")
:param date: date to use. Defaults to utcnow()
:param date: date to use. Defaults to now(utc)
:returns: date of next candle (with utc timezone)
"""
if not date:
@@ -2733,6 +2755,23 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
def date_minus_candles(
timeframe: str, candle_count: int, date: Optional[datetime] = None) -> datetime:
"""
subtract X candles from a date.
:param timeframe: timeframe in string format (e.g. "5m")
:param candle_count: Amount of candles to subtract.
:param date: date to use. Defaults to now(utc)
"""
if not date:
date = datetime.now(timezone.utc)
tf_min = timeframe_to_minutes(timeframe)
new_date = timeframe_to_prev_date(timeframe, date) - timedelta(minutes=tf_min * candle_count)
return new_date
def market_is_active(market: Dict) -> bool:
"""
Return True if the market is active.

View File

@@ -23,6 +23,7 @@ class Kraken(Exchange):
_ft_has: Dict = {
"stoploss_on_exchange": True,
"ohlcv_candle_limit": 720,
"ohlcv_has_history": False,
"trades_pagination": "id",
"trades_pagination_arg": "since",
"mark_ohlcv_timeframe": "4h",

View File

@@ -1,13 +1,15 @@
import logging
from typing import Dict, List, Tuple
from typing import Dict, List, Optional, Tuple
import ccxt
from freqtrade.constants import BuySell
from freqtrade.enums import MarginMode, TradingMode
from freqtrade.enums.candletype import CandleType
from freqtrade.exceptions import DDosProtection, OperationalException, TemporaryError
from freqtrade.exchange import Exchange
from freqtrade.exchange.common import retrier
from freqtrade.exchange.exchange import date_minus_candles
logger = logging.getLogger(__name__)
@@ -20,7 +22,7 @@ class Okx(Exchange):
"""
_ft_has: Dict = {
"ohlcv_candle_limit": 100,
"ohlcv_candle_limit": 100, # Warning, special case with data prior to X months
"mark_ohlcv_timeframe": "4h",
"funding_fee_timeframe": "8h",
}
@@ -37,6 +39,27 @@ class Okx(Exchange):
net_only = True
def ohlcv_candle_limit(
self, timeframe: str, candle_type: CandleType, since_ms: Optional[int] = None) -> int:
"""
Exchange ohlcv candle limit
OKX has the following behaviour:
* 300 candles for uptodate data
* 100 candles for historic data
* 100 candles for additional candles (not futures or spot).
:param timeframe: Timeframe to check
:param candle_type: Candle-type
:param since_ms: Starting timestamp
:return: Candle limit as integer
"""
if (
candle_type in (CandleType.FUTURES, CandleType.SPOT) and
(not since_ms or since_ms > (date_minus_candles(timeframe, 300).timestamp() * 1000))
):
return 300
return super().ohlcv_candle_limit(timeframe, candle_type, since_ms)
@retrier
def additional_exchange_init(self) -> None:
"""

View File

@@ -542,15 +542,7 @@ class FreqtradeBot(LoggingMixin):
if stake_amount is not None and stake_amount > 0.0:
# We should increase our position
if self.strategy.max_entry_position_adjustment > -1:
count_of_entries = trade.nr_of_successful_entries
if count_of_entries > self.strategy.max_entry_position_adjustment:
logger.debug(f"Max adjustment entries for {trade.pair} has been reached.")
return
else:
logger.debug("Max adjustment entries is set to unlimited.")
self.execute_entry(trade.pair, stake_amount, None and current_entry_rate,
trade=trade, is_short=trade.is_short)
self.execute_entry(trade.pair, stake_amount, trade=trade, is_short=trade.is_short)
if stake_amount is not None and stake_amount < 0.0:
# We should decrease our position
@@ -608,6 +600,7 @@ class FreqtradeBot(LoggingMixin):
ordertype: Optional[str] = None,
enter_tag: Optional[str] = None,
trade: Optional[Trade] = None,
order_adjust: bool = False
) -> bool:
"""
Executes a limit buy for the given pair
@@ -623,7 +616,7 @@ class FreqtradeBot(LoggingMixin):
pos_adjust = trade is not None
enter_limit_requested, stake_amount, leverage = self.get_valid_enter_price_and_stake(
pair, price, stake_amount, trade_side, enter_tag, trade)
pair, price, stake_amount, trade_side, enter_tag, trade, order_adjust)
if not stake_amount:
return False
@@ -768,23 +761,26 @@ class FreqtradeBot(LoggingMixin):
self, pair: str, price: Optional[float], stake_amount: float,
trade_side: LongShort,
entry_tag: Optional[str],
trade: Optional[Trade]
trade: Optional[Trade],
order_adjust: bool,
) -> Tuple[float, float, float]:
if price:
enter_limit_requested = price
else:
# Calculate price
proposed_enter_rate = self.exchange.get_rate(
enter_limit_requested = self.exchange.get_rate(
pair, side='entry', is_short=(trade_side == 'short'), refresh=True)
if not order_adjust:
# Don't call custom_entry_price in order-adjust scenario
custom_entry_price = strategy_safe_wrapper(self.strategy.custom_entry_price,
default_retval=proposed_enter_rate)(
default_retval=enter_limit_requested)(
pair=pair, current_time=datetime.now(timezone.utc),
proposed_rate=proposed_enter_rate, entry_tag=entry_tag,
proposed_rate=enter_limit_requested, entry_tag=entry_tag,
side=trade_side,
)
enter_limit_requested = self.get_valid_price(custom_entry_price, proposed_enter_rate)
enter_limit_requested = self.get_valid_price(custom_entry_price, enter_limit_requested)
if not enter_limit_requested:
raise PricingError('Could not determine entry price.')
@@ -1238,7 +1234,8 @@ class FreqtradeBot(LoggingMixin):
stake_amount=(order_obj.remaining * order_obj.price),
price=adjusted_entry_price,
trade=trade,
is_short=trade.is_short
is_short=trade.is_short,
order_adjust=True,
)
def cancel_all_open_orders(self) -> None:
@@ -1437,6 +1434,7 @@ class FreqtradeBot(LoggingMixin):
open_date=trade.open_date_utc,
)
exit_type = 'exit'
exit_reason = exit_tag or exit_check.exit_reason
if exit_check.exit_type in (ExitType.STOP_LOSS, ExitType.TRAILING_STOP_LOSS):
exit_type = 'stoploss'
@@ -1454,7 +1452,7 @@ class FreqtradeBot(LoggingMixin):
pair=trade.pair, trade=trade,
current_time=datetime.now(timezone.utc),
proposed_rate=proposed_limit_rate, current_profit=current_profit,
exit_tag=exit_check.exit_reason)
exit_tag=exit_reason)
limit = self.get_valid_price(custom_exit_price, proposed_limit_rate)
@@ -1472,8 +1470,8 @@ class FreqtradeBot(LoggingMixin):
if not sub_trade_amt and not strategy_safe_wrapper(
self.strategy.confirm_trade_exit, default_retval=True)(
pair=trade.pair, trade=trade, order_type=order_type, amount=amount, rate=limit,
time_in_force=time_in_force, exit_reason=exit_check.exit_reason,
sell_reason=exit_check.exit_reason, # sellreason -> compatibility
time_in_force=time_in_force, exit_reason=exit_reason,
sell_reason=exit_reason, # sellreason -> compatibility
current_time=datetime.now(timezone.utc)):
logger.info(f"User requested abortion of exiting {trade.pair}")
return False
@@ -1502,7 +1500,7 @@ class FreqtradeBot(LoggingMixin):
trade.open_order_id = order['id']
trade.exit_order_status = ''
trade.close_rate_requested = limit
trade.exit_reason = exit_tag or exit_check.exit_reason
trade.exit_reason = exit_reason
# Lock pair for one candle to prevent immediate re-trading
self.strategy.lock_pair(trade.pair, datetime.now(timezone.utc),

View File

@@ -297,6 +297,9 @@ class Backtesting:
self.rejected_trades = 0
self.timedout_entry_orders = 0
self.timedout_exit_orders = 0
self.canceled_trade_entries = 0
self.canceled_entry_orders = 0
self.replaced_entry_orders = 0
self.dataprovider.clear_cache()
if enable_protections:
self._load_protections(self.strategy)
@@ -548,6 +551,7 @@ class Backtesting:
if exit_.exit_flag:
trade.close_date = exit_candle_time
exit_reason = exit_.exit_reason
trade_dur = int((trade.close_date_utc - trade.open_date_utc).total_seconds() // 60)
try:
@@ -558,13 +562,23 @@ class Backtesting:
current_profit = trade.calc_profit_ratio(close_rate)
order_type = self.strategy.order_types['exit']
if exit_.exit_type in (ExitType.EXIT_SIGNAL, ExitType.CUSTOM_EXIT):
# Checks and adds an exit tag, after checking that the length of the
# row has the length for an exit tag column
if(
len(row) > EXIT_TAG_IDX
and row[EXIT_TAG_IDX] is not None
and len(row[EXIT_TAG_IDX]) > 0
and exit_.exit_type in (ExitType.EXIT_SIGNAL,)
):
exit_reason = row[EXIT_TAG_IDX]
# Custom exit pricing only for exit-signals
if order_type == 'limit':
close_rate = strategy_safe_wrapper(self.strategy.custom_exit_price,
default_retval=close_rate)(
pair=trade.pair, trade=trade,
current_time=exit_candle_time,
proposed_rate=close_rate, current_profit=current_profit)
proposed_rate=close_rate, current_profit=current_profit,
exit_tag=exit_.exit_reason)
# We can't place orders lower than current low.
# freqtrade does not support this in live, and the order would fill immediately
if trade.is_short:
@@ -578,24 +592,36 @@ class Backtesting:
pair=trade.pair, trade=trade, order_type='limit', amount=trade.amount,
rate=close_rate,
time_in_force=time_in_force,
sell_reason=exit_.exit_reason, # deprecated
exit_reason=exit_.exit_reason,
sell_reason=exit_reason, # deprecated
exit_reason=exit_reason,
current_time=exit_candle_time):
return None
trade.exit_reason = exit_.exit_reason
trade.exit_reason = exit_reason
# Checks and adds an exit tag, after checking that the length of the
# row has the length for an exit tag column
if(
len(row) > EXIT_TAG_IDX
and row[EXIT_TAG_IDX] is not None
and len(row[EXIT_TAG_IDX]) > 0
and exit_.exit_type in (ExitType.EXIT_SIGNAL,)
):
trade.exit_reason = row[EXIT_TAG_IDX]
return self._exit_trade(trade, row, close_rate)
self.order_id_counter += 1
order = Order(
id=self.order_id_counter,
ft_trade_id=trade.id,
order_date=exit_candle_time,
order_update_date=exit_candle_time,
ft_is_open=True,
ft_pair=trade.pair,
order_id=str(self.order_id_counter),
symbol=trade.pair,
ft_order_side=trade.exit_side,
side=trade.exit_side,
order_type=order_type,
status="open",
price=close_rate,
average=close_rate,
amount=trade.amount,
filled=0,
remaining=trade.amount,
cost=trade.amount * close_rate,
)
trade.orders.append(order)
return trade
return None
@@ -831,11 +857,11 @@ class Backtesting:
remaining=amount,
cost=stake_amount + trade.fee_open,
)
trade.orders.append(order)
if pos_adjust and self._get_order_filled(order.price, row):
order.close_bt_order(current_time, trade)
else:
trade.open_order_id = str(self.order_id_counter)
trade.orders.append(order)
trade.recalc_trade_from_orders()
return trade
@@ -903,6 +929,7 @@ class Backtesting:
return True
elif self.check_order_replace(trade, order, current_time, row):
# delete trade due to user request
self.canceled_trade_entries += 1
return True
# default maintain trade
return False
@@ -952,6 +979,7 @@ class Backtesting:
return False
else:
del trade.orders[trade.orders.index(order)]
self.canceled_entry_orders += 1
# place new order if result was not None
if requested_rate:
@@ -959,6 +987,7 @@ class Backtesting:
requested_rate=requested_rate,
requested_stake=(order.remaining * order.price),
direction='short' if trade.is_short else 'long')
self.replaced_entry_orders += 1
else:
# assumption: there can't be multiple open entry orders at any given time
return (trade.nr_of_successful_entries == 0)
@@ -1112,6 +1141,9 @@ class Backtesting:
'rejected_signals': self.rejected_trades,
'timedout_entry_orders': self.timedout_entry_orders,
'timedout_exit_orders': self.timedout_exit_orders,
'canceled_trade_entries': self.canceled_trade_entries,
'canceled_entry_orders': self.canceled_entry_orders,
'replaced_entry_orders': self.replaced_entry_orders,
'final_balance': self.wallets.get_total(self.strategy.config['stake_currency']),
}

View File

@@ -468,6 +468,9 @@ def generate_strategy_stats(pairlist: List[str],
'rejected_signals': content['rejected_signals'],
'timedout_entry_orders': content['timedout_entry_orders'],
'timedout_exit_orders': content['timedout_exit_orders'],
'canceled_trade_entries': content['canceled_trade_entries'],
'canceled_entry_orders': content['canceled_entry_orders'],
'replaced_entry_orders': content['replaced_entry_orders'],
'max_open_trades': max_open_trades,
'max_open_trades_setting': (config['max_open_trades']
if config['max_open_trades'] != float('inf') else -1),
@@ -753,6 +756,12 @@ def text_table_add_metrics(strat_results: Dict) -> str:
('Drawdown End', strat_results['drawdown_end']),
])
entry_adjustment_metrics = [
('Canceled Trade Entries', strat_results.get('canceled_trade_entries', 'N/A')),
('Canceled Entry Orders', strat_results.get('canceled_entry_orders', 'N/A')),
('Replaced Entry Orders', strat_results.get('replaced_entry_orders', 'N/A')),
] if strat_results.get('canceled_entry_orders', 0) > 0 else []
# Newly added fields should be ignored if they are missing in strat_results. hyperopt-show
# command stores these results and newer version of freqtrade must be able to handle old
# results with missing new fields.
@@ -801,6 +810,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
('Entry/Exit Timeouts',
f"{strat_results.get('timedout_entry_orders', 'N/A')} / "
f"{strat_results.get('timedout_exit_orders', 'N/A')}"),
*entry_adjustment_metrics,
('', ''), # Empty line to improve readability
('Min balance', round_coin_value(strat_results['csum_min'],

View File

@@ -155,6 +155,7 @@ class Order(_DECL_BASE):
and len(trade.select_filled_orders(trade.entry_side)) == 1):
trade.open_rate = self.price
trade.recalc_open_trade_value()
trade.adjust_stop_loss(trade.open_rate, trade.stop_loss_pct, refresh=True)
@staticmethod
def update_orders(orders: List['Order'], order: Dict[str, Any]):
@@ -495,7 +496,7 @@ class LocalTrade():
self.stoploss_last_update = datetime.utcnow()
def adjust_stop_loss(self, current_price: float, stoploss: float,
initial: bool = False) -> None:
initial: bool = False, refresh: bool = False) -> None:
"""
This adjusts the stop loss to it's most recently observed setting
:param current_price: Current rate the asset is traded
@@ -506,6 +507,7 @@ class LocalTrade():
if initial and not (self.stop_loss is None or self.stop_loss == 0):
# Don't modify if called with initial and nothing to do
return
refresh = True if refresh and self.nr_of_successful_entries == 1 else False
leverage = self.leverage or 1.0
if self.is_short:
@@ -520,8 +522,7 @@ class LocalTrade():
new_loss = max(self.liquidation_price, new_loss)
# no stop loss assigned yet
if self.initial_stop_loss_pct is None:
logger.debug(f"{self.pair} - Assigning new stoploss...")
if self.initial_stop_loss_pct is None or refresh:
self._set_stop_loss(new_loss, stoploss)
self.initial_stop_loss = new_loss
self.initial_stop_loss_pct = -1 * abs(stoploss)
@@ -704,7 +705,7 @@ class LocalTrade():
def recalc_open_trade_value(self) -> None:
"""
Recalculate open_trade_value.
Must be called whenever open_rate, fee_open or is_short is changed.
Must be called whenever open_rate, fee_open is changed.
"""
self.open_trade_value = self._calc_open_trade_value()

View File

@@ -32,18 +32,19 @@ class AgeFilter(IPairList):
self._min_days_listed = pairlistconfig.get('min_days_listed', 10)
self._max_days_listed = pairlistconfig.get('max_days_listed', None)
candle_limit = exchange.ohlcv_candle_limit('1d', self._config['candle_type_def'])
if self._min_days_listed < 1:
raise OperationalException("AgeFilter requires min_days_listed to be >= 1")
if self._min_days_listed > exchange.ohlcv_candle_limit('1d'):
if self._min_days_listed > candle_limit:
raise OperationalException("AgeFilter requires min_days_listed to not exceed "
"exchange max request size "
f"({exchange.ohlcv_candle_limit('1d')})")
f"({candle_limit})")
if self._max_days_listed and self._max_days_listed <= self._min_days_listed:
raise OperationalException("AgeFilter max_days_listed <= min_days_listed not permitted")
if self._max_days_listed and self._max_days_listed > exchange.ohlcv_candle_limit('1d'):
if self._max_days_listed and self._max_days_listed > candle_limit:
raise OperationalException("AgeFilter requires max_days_listed to not exceed "
"exchange max request size "
f"({exchange.ohlcv_candle_limit('1d')})")
f"({candle_limit})")
@property
def needstickers(self) -> bool:

View File

@@ -19,6 +19,7 @@ class OffsetFilter(IPairList):
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
self._offset = pairlistconfig.get('offset', 0)
self._number_pairs = pairlistconfig.get('number_assets', 0)
if self._offset < 0:
raise OperationalException("OffsetFilter requires offset to be >= 0")
@@ -36,7 +37,9 @@ class OffsetFilter(IPairList):
"""
Short whitelist method description - used for startup-messages
"""
return f"{self.name} - Offseting pairs by {self._offset}."
if self._number_pairs:
return f"{self.name} - Taking {self._number_pairs} Pairs, starting from {self._offset}."
return f"{self.name} - Offsetting pairs by {self._offset}."
def filter_pairlist(self, pairlist: List[str], tickers: Dict) -> List[str]:
"""
@@ -50,5 +53,9 @@ class OffsetFilter(IPairList):
self.log_once(f"Offset of {self._offset} is larger than " +
f"pair count of {len(pairlist)}", logger.warning)
pairs = pairlist[self._offset:]
if self._number_pairs:
pairs = pairs[:self._number_pairs]
self.log_once(f"Searching {len(pairs)} pairs: {pairs}", logger.info)
return pairs

View File

@@ -38,12 +38,12 @@ class VolatilityFilter(IPairList):
self._pair_cache: TTLCache = TTLCache(maxsize=1000, ttl=self._refresh_period)
candle_limit = exchange.ohlcv_candle_limit('1d', self._config['candle_type_def'])
if self._days < 1:
raise OperationalException("VolatilityFilter requires lookback_days to be >= 1")
if self._days > exchange.ohlcv_candle_limit('1d'):
if self._days > candle_limit:
raise OperationalException("VolatilityFilter requires lookback_days to not "
"exceed exchange max request size "
f"({exchange.ohlcv_candle_limit('1d')})")
f"exceed exchange max request size ({candle_limit})")
@property
def needstickers(self) -> bool:

View File

@@ -84,12 +84,13 @@ class VolumePairList(IPairList):
raise OperationalException(
f'key {self._sort_key} not in {SORT_VALUES}')
candle_limit = exchange.ohlcv_candle_limit(
self._lookback_timeframe, self._config['candle_type_def'])
if self._lookback_period < 0:
raise OperationalException("VolumeFilter requires lookback_period to be >= 0")
if self._lookback_period > exchange.ohlcv_candle_limit(self._lookback_timeframe):
if self._lookback_period > candle_limit:
raise OperationalException("VolumeFilter requires lookback_period to not "
"exceed exchange max request size "
f"({exchange.ohlcv_candle_limit(self._lookback_timeframe)})")
f"exceed exchange max request size ({candle_limit})")
@property
def needstickers(self) -> bool:

View File

@@ -33,12 +33,12 @@ class RangeStabilityFilter(IPairList):
self._pair_cache: TTLCache = TTLCache(maxsize=1000, ttl=self._refresh_period)
candle_limit = exchange.ohlcv_candle_limit('1d', self._config['candle_type_def'])
if self._days < 1:
raise OperationalException("RangeStabilityFilter requires lookback_days to be >= 1")
if self._days > exchange.ohlcv_candle_limit('1d'):
if self._days > candle_limit:
raise OperationalException("RangeStabilityFilter requires lookback_days to not "
"exceed exchange max request size "
f"({exchange.ohlcv_candle_limit('1d')})")
f"exceed exchange max request size ({candle_limit})")
@property
def needstickers(self) -> bool:

View File

@@ -1458,14 +1458,14 @@ class Telegram(RPCHandler):
"Optionally takes a rate at which to sell "
"(only applies to limit orders).` \n")
message = (
"_BotControl_\n"
"_Bot Control_\n"
"------------\n"
"*/start:* `Starts the trader`\n"
"*/stop:* Stops the trader\n"
"*/stopbuy:* `Stops buying, but handles open trades gracefully` \n"
"*/forceexit <trade_id>|all:* `Instantly exits the given trade or all trades, "
"regardless of profit`\n"
"*/fe <trade_id>|all:* `Alias to /forceexit`"
"*/fe <trade_id>|all:* `Alias to /forceexit`\n"
f"{force_enter_text if self._config.get('force_entry_enable', False) else ''}"
"*/delete <trade_id>:* `Instantly delete the given trade in the database`\n"
"*/whitelist:* `Show current whitelist` \n"