Merge branch 'freqtrade:develop' into health

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Reigo Reinmets 2022-01-24 13:52:53 +02:00 committed by GitHub
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8 changed files with 96 additions and 21 deletions

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@ -362,8 +362,8 @@ class AwesomeStrategy(IStrategy):
# ... populate_* methods # ... populate_* methods
def custom_entry_price(self, pair: str, current_time: datetime, def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float,
proposed_rate, **kwargs) -> float: entry_tag: Optional[str], **kwargs) -> float:
dataframe, last_updated = self.dp.get_analyzed_dataframe(pair=pair, dataframe, last_updated = self.dp.get_analyzed_dataframe(pair=pair,
timeframe=self.timeframe) timeframe=self.timeframe)
@ -502,7 +502,8 @@ class AwesomeStrategy(IStrategy):
# ... populate_* methods # ... populate_* methods
def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float, def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
time_in_force: str, current_time: datetime, **kwargs) -> bool: time_in_force: str, current_time: datetime, entry_tag: Optional[str],
**kwargs) -> bool:
""" """
Called right before placing a buy order. Called right before placing a buy order.
Timing for this function is critical, so avoid doing heavy computations or Timing for this function is critical, so avoid doing heavy computations or
@ -620,7 +621,7 @@ class DigDeeperStrategy(IStrategy):
# This is called when placing the initial order (opening trade) # This is called when placing the initial order (opening trade)
def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float, def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float,
proposed_stake: float, min_stake: float, max_stake: float, proposed_stake: float, min_stake: float, max_stake: float,
**kwargs) -> float: entry_tag: Optional[str], **kwargs) -> float:
# We need to leave most of the funds for possible further DCA orders # We need to leave most of the funds for possible further DCA orders
# This also applies to fixed stakes # This also applies to fixed stakes

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@ -534,7 +534,7 @@ class FreqtradeBot(LoggingMixin):
pos_adjust = trade is not None pos_adjust = trade is not None
enter_limit_requested, stake_amount = self.get_valid_enter_price_and_stake( enter_limit_requested, stake_amount = self.get_valid_enter_price_and_stake(
pair, price, stake_amount, trade) pair, price, stake_amount, buy_tag, trade)
if not stake_amount: if not stake_amount:
return False return False
@ -553,7 +553,8 @@ class FreqtradeBot(LoggingMixin):
if not pos_adjust and not strategy_safe_wrapper( if not pos_adjust and not strategy_safe_wrapper(
self.strategy.confirm_trade_entry, default_retval=True)( self.strategy.confirm_trade_entry, default_retval=True)(
pair=pair, order_type=order_type, amount=amount, rate=enter_limit_requested, pair=pair, order_type=order_type, amount=amount, rate=enter_limit_requested,
time_in_force=time_in_force, current_time=datetime.now(timezone.utc)): time_in_force=time_in_force, current_time=datetime.now(timezone.utc),
entry_tag=buy_tag):
logger.info(f"User requested abortion of buying {pair}") logger.info(f"User requested abortion of buying {pair}")
return False return False
amount = self.exchange.amount_to_precision(pair, amount) amount = self.exchange.amount_to_precision(pair, amount)
@ -663,6 +664,7 @@ class FreqtradeBot(LoggingMixin):
def get_valid_enter_price_and_stake( def get_valid_enter_price_and_stake(
self, pair: str, price: Optional[float], stake_amount: float, self, pair: str, price: Optional[float], stake_amount: float,
entry_tag: Optional[str],
trade: Optional[Trade]) -> Tuple[float, float]: trade: Optional[Trade]) -> Tuple[float, float]:
if price: if price:
enter_limit_requested = price enter_limit_requested = price
@ -672,7 +674,7 @@ class FreqtradeBot(LoggingMixin):
custom_entry_price = strategy_safe_wrapper(self.strategy.custom_entry_price, custom_entry_price = strategy_safe_wrapper(self.strategy.custom_entry_price,
default_retval=proposed_enter_rate)( default_retval=proposed_enter_rate)(
pair=pair, current_time=datetime.now(timezone.utc), pair=pair, current_time=datetime.now(timezone.utc),
proposed_rate=proposed_enter_rate) proposed_rate=proposed_enter_rate, entry_tag=entry_tag)
enter_limit_requested = self.get_valid_price(custom_entry_price, proposed_enter_rate) enter_limit_requested = self.get_valid_price(custom_entry_price, proposed_enter_rate)
if not enter_limit_requested: if not enter_limit_requested:
@ -685,7 +687,7 @@ class FreqtradeBot(LoggingMixin):
default_retval=stake_amount)( default_retval=stake_amount)(
pair=pair, current_time=datetime.now(timezone.utc), pair=pair, current_time=datetime.now(timezone.utc),
current_rate=enter_limit_requested, proposed_stake=stake_amount, current_rate=enter_limit_requested, proposed_stake=stake_amount,
min_stake=min_stake_amount, max_stake=max_stake_amount) min_stake=min_stake_amount, max_stake=max_stake_amount, entry_tag=entry_tag)
stake_amount = self.wallets.validate_stake_amount(pair, stake_amount, min_stake_amount) stake_amount = self.wallets.validate_stake_amount(pair, stake_amount, min_stake_amount)
return enter_limit_requested, stake_amount return enter_limit_requested, stake_amount

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@ -462,12 +462,14 @@ class Backtesting:
def _enter_trade(self, pair: str, row: Tuple, stake_amount: Optional[float] = None, def _enter_trade(self, pair: str, row: Tuple, stake_amount: Optional[float] = None,
trade: Optional[LocalTrade] = None) -> Optional[LocalTrade]: trade: Optional[LocalTrade] = None) -> Optional[LocalTrade]:
current_time = row[DATE_IDX].to_pydatetime() current_time = row[DATE_IDX].to_pydatetime()
entry_tag = row[BUY_TAG_IDX] if len(row) >= BUY_TAG_IDX + 1 else None
# let's call the custom entry price, using the open price as default price # let's call the custom entry price, using the open price as default price
propose_rate = strategy_safe_wrapper(self.strategy.custom_entry_price, propose_rate = strategy_safe_wrapper(self.strategy.custom_entry_price,
default_retval=row[OPEN_IDX])( default_retval=row[OPEN_IDX])(
pair=pair, current_time=current_time, pair=pair, current_time=current_time,
proposed_rate=row[OPEN_IDX]) # default value is the open rate proposed_rate=row[OPEN_IDX], entry_tag=entry_tag) # default value is the open rate
# Move rate to within the candle's low/high rate # Move rate to within the candle's low/high rate
propose_rate = min(max(propose_rate, row[LOW_IDX]), row[HIGH_IDX]) propose_rate = min(max(propose_rate, row[LOW_IDX]), row[HIGH_IDX])
@ -485,7 +487,8 @@ class Backtesting:
stake_amount = strategy_safe_wrapper(self.strategy.custom_stake_amount, stake_amount = strategy_safe_wrapper(self.strategy.custom_stake_amount,
default_retval=stake_amount)( default_retval=stake_amount)(
pair=pair, current_time=current_time, current_rate=propose_rate, pair=pair, current_time=current_time, current_rate=propose_rate,
proposed_stake=stake_amount, min_stake=min_stake_amount, max_stake=max_stake_amount) proposed_stake=stake_amount, min_stake=min_stake_amount, max_stake=max_stake_amount,
entry_tag=entry_tag)
stake_amount = self.wallets.validate_stake_amount(pair, stake_amount, min_stake_amount) stake_amount = self.wallets.validate_stake_amount(pair, stake_amount, min_stake_amount)
@ -500,14 +503,14 @@ class Backtesting:
if not pos_adjust: if not pos_adjust:
if not strategy_safe_wrapper(self.strategy.confirm_trade_entry, default_retval=True)( if not strategy_safe_wrapper(self.strategy.confirm_trade_entry, default_retval=True)(
pair=pair, order_type=order_type, amount=stake_amount, rate=propose_rate, pair=pair, order_type=order_type, amount=stake_amount, rate=propose_rate,
time_in_force=time_in_force, current_time=current_time): time_in_force=time_in_force, current_time=current_time,
entry_tag=entry_tag):
return None return None
if stake_amount and (not min_stake_amount or stake_amount > min_stake_amount): if stake_amount and (not min_stake_amount or stake_amount > min_stake_amount):
amount = round(stake_amount / propose_rate, 8) amount = round(stake_amount / propose_rate, 8)
if trade is None: if trade is None:
# Enter trade # Enter trade
has_buy_tag = len(row) >= BUY_TAG_IDX + 1
trade = LocalTrade( trade = LocalTrade(
pair=pair, pair=pair,
open_rate=propose_rate, open_rate=propose_rate,
@ -517,7 +520,7 @@ class Backtesting:
fee_open=self.fee, fee_open=self.fee,
fee_close=self.fee, fee_close=self.fee,
is_open=True, is_open=True,
buy_tag=row[BUY_TAG_IDX] if has_buy_tag else None, buy_tag=entry_tag,
exchange='backtesting', exchange='backtesting',
orders=[] orders=[]
) )

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@ -238,7 +238,8 @@ class IStrategy(ABC, HyperStrategyMixin):
return False return False
def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float, def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
time_in_force: str, current_time: datetime, **kwargs) -> bool: time_in_force: str, current_time: datetime, entry_tag: Optional[str],
**kwargs) -> bool:
""" """
Called right before placing a buy order. Called right before placing a buy order.
Timing for this function is critical, so avoid doing heavy computations or Timing for this function is critical, so avoid doing heavy computations or
@ -254,6 +255,7 @@ class IStrategy(ABC, HyperStrategyMixin):
:param rate: Rate that's going to be used when using limit orders :param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled). :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param current_time: datetime object, containing the current datetime :param current_time: datetime object, containing the current datetime
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy. :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the buy-order is placed on the exchange. :return bool: When True is returned, then the buy-order is placed on the exchange.
False aborts the process False aborts the process
@ -311,7 +313,7 @@ class IStrategy(ABC, HyperStrategyMixin):
return self.stoploss return self.stoploss
def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float, def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float,
**kwargs) -> float: entry_tag: Optional[str], **kwargs) -> float:
""" """
Custom entry price logic, returning the new entry price. Custom entry price logic, returning the new entry price.
@ -322,6 +324,7 @@ class IStrategy(ABC, HyperStrategyMixin):
:param pair: Pair that's currently analyzed :param pair: Pair that's currently analyzed
:param current_time: datetime object, containing the current datetime :param current_time: datetime object, containing the current datetime
:param proposed_rate: Rate, calculated based on pricing settings in ask_strategy. :param proposed_rate: Rate, calculated based on pricing settings in ask_strategy.
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy. :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: New entry price value if provided :return float: New entry price value if provided
""" """
@ -373,7 +376,7 @@ class IStrategy(ABC, HyperStrategyMixin):
def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float, def custom_stake_amount(self, pair: str, current_time: datetime, current_rate: float,
proposed_stake: float, min_stake: float, max_stake: float, proposed_stake: float, min_stake: float, max_stake: float,
**kwargs) -> float: entry_tag: Optional[str], **kwargs) -> float:
""" """
Customize stake size for each new trade. This method is not called when edge module is Customize stake size for each new trade. This method is not called when edge module is
enabled. enabled.
@ -384,6 +387,7 @@ class IStrategy(ABC, HyperStrategyMixin):
:param proposed_stake: A stake amount proposed by the bot. :param proposed_stake: A stake amount proposed by the bot.
:param min_stake: Minimal stake size allowed by exchange. :param min_stake: Minimal stake size allowed by exchange.
:param max_stake: Balance available for trading. :param max_stake: Balance available for trading.
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:return: A stake size, which is between min_stake and max_stake. :return: A stake size, which is between min_stake and max_stake.
""" """
return proposed_stake return proposed_stake
@ -394,6 +398,7 @@ class IStrategy(ABC, HyperStrategyMixin):
""" """
Custom trade adjustment logic, returning the stake amount that a trade should be increased. Custom trade adjustment logic, returning the stake amount that a trade should be increased.
This means extra buy orders with additional fees. This means extra buy orders with additional fees.
Only called when `position_adjustment_enable` is set to True.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/ For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/

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@ -12,9 +12,47 @@ def bot_loop_start(self, **kwargs) -> None:
""" """
pass pass
def custom_entry_price(self, pair: str, current_time: 'datetime', proposed_rate: float,
entry_tag: 'Optional[str]', **kwargs) -> float:
"""
Custom entry price logic, returning the new entry price.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns None, orderbook is used to set entry price
:param pair: Pair that's currently analyzed
:param current_time: datetime object, containing the current datetime
:param proposed_rate: Rate, calculated based on pricing settings in ask_strategy.
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: New entry price value if provided
"""
return proposed_rate
def custom_exit_price(self, pair: str, trade: 'Trade',
current_time: 'datetime', proposed_rate: float,
current_profit: float, **kwargs) -> float:
"""
Custom exit price logic, returning the new exit price.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns None, orderbook is used to set exit price
:param pair: Pair that's currently analyzed
:param trade: trade object.
:param current_time: datetime object, containing the current datetime
:param proposed_rate: Rate, calculated based on pricing settings in ask_strategy.
:param current_profit: Current profit (as ratio), calculated based on current_rate.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: New exit price value if provided
"""
return proposed_rate
def custom_stake_amount(self, pair: str, current_time: 'datetime', current_rate: float, def custom_stake_amount(self, pair: str, current_time: 'datetime', current_rate: float,
proposed_stake: float, min_stake: float, max_stake: float, proposed_stake: float, min_stake: float, max_stake: float,
**kwargs) -> float: entry_tag: 'Optional[str]', **kwargs) -> float:
""" """
Customize stake size for each new trade. This method is not called when edge module is Customize stake size for each new trade. This method is not called when edge module is
enabled. enabled.
@ -25,6 +63,7 @@ def custom_stake_amount(self, pair: str, current_time: 'datetime', current_rate:
:param proposed_stake: A stake amount proposed by the bot. :param proposed_stake: A stake amount proposed by the bot.
:param min_stake: Minimal stake size allowed by exchange. :param min_stake: Minimal stake size allowed by exchange.
:param max_stake: Balance available for trading. :param max_stake: Balance available for trading.
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:return: A stake size, which is between min_stake and max_stake. :return: A stake size, which is between min_stake and max_stake.
""" """
return proposed_stake return proposed_stake
@ -78,7 +117,8 @@ def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', curre
return None return None
def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float, def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float,
time_in_force: str, current_time: 'datetime', **kwargs) -> bool: time_in_force: str, current_time: 'datetime', entry_tag: 'Optional[str]',
**kwargs) -> bool:
""" """
Called right before placing a buy order. Called right before placing a buy order.
Timing for this function is critical, so avoid doing heavy computations or Timing for this function is critical, so avoid doing heavy computations or
@ -94,6 +134,7 @@ def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: f
:param rate: Rate that's going to be used when using limit orders :param rate: Rate that's going to be used when using limit orders
:param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled). :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
:param current_time: datetime object, containing the current datetime :param current_time: datetime object, containing the current datetime
:param entry_tag: Optional entry_tag (buy_tag) if provided with the buy signal.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy. :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the buy-order is placed on the exchange. :return bool: When True is returned, then the buy-order is placed on the exchange.
False aborts the process False aborts the process
@ -167,3 +208,26 @@ def check_sell_timeout(self, pair: str, trade: 'Trade', order: dict, **kwargs) -
:return bool: When True is returned, then the sell-order is cancelled. :return bool: When True is returned, then the sell-order is cancelled.
""" """
return False return False
def adjust_trade_position(self, trade: 'Trade', current_time: 'datetime',
current_rate: float, current_profit: float, min_stake: float,
max_stake: float, **kwargs) -> 'Optional[float]':
"""
Custom trade adjustment logic, returning the stake amount that a trade should be increased.
This means extra buy orders with additional fees.
Only called when `position_adjustment_enable` is set to True.
For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
When not implemented by a strategy, returns None
:param trade: trade object.
:param current_time: datetime object, containing the current datetime
:param current_rate: Current buy rate.
:param current_profit: Current profit (as ratio), calculated based on current_rate.
:param min_stake: Minimal stake size allowed by exchange.
:param max_stake: Balance available for trading.
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return float: Stake amount to adjust your trade
"""
return None

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@ -8,7 +8,7 @@ flake8==4.0.1
flake8-tidy-imports==4.6.0 flake8-tidy-imports==4.6.0
mypy==0.931 mypy==0.931
pytest==6.2.5 pytest==6.2.5
pytest-asyncio==0.17.1 pytest-asyncio==0.17.2
pytest-cov==3.0.0 pytest-cov==3.0.0
pytest-mock==3.6.1 pytest-mock==3.6.1
pytest-random-order==1.0.4 pytest-random-order==1.0.4

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@ -7,7 +7,7 @@ ccxt==1.68.20
# Pin cryptography for now due to rust build errors with piwheels # Pin cryptography for now due to rust build errors with piwheels
cryptography==36.0.1 cryptography==36.0.1
aiohttp==3.8.1 aiohttp==3.8.1
SQLAlchemy==1.4.29 SQLAlchemy==1.4.31
python-telegram-bot==13.10 python-telegram-bot==13.10
arrow==1.2.1 arrow==1.2.1
cachetools==4.2.2 cachetools==4.2.2

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@ -37,7 +37,7 @@ def test_strategy_test_v2(result, fee):
assert strategy.confirm_trade_entry(pair='ETH/BTC', order_type='limit', amount=0.1, assert strategy.confirm_trade_entry(pair='ETH/BTC', order_type='limit', amount=0.1,
rate=20000, time_in_force='gtc', rate=20000, time_in_force='gtc',
current_time=datetime.utcnow()) is True current_time=datetime.utcnow(), entry_tag=None) is True
assert strategy.confirm_trade_exit(pair='ETH/BTC', trade=trade, order_type='limit', amount=0.1, assert strategy.confirm_trade_exit(pair='ETH/BTC', trade=trade, order_type='limit', amount=0.1,
rate=20000, time_in_force='gtc', sell_reason='roi', rate=20000, time_in_force='gtc', sell_reason='roi',
current_time=datetime.utcnow()) is True current_time=datetime.utcnow()) is True