Merge branch 'feat/short' into pr/samgermain/5378
This commit is contained in:
@@ -22,7 +22,7 @@ ARGS_COMMON_OPTIMIZE = ["timeframe", "timerange", "dataformat_ohlcv",
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"max_open_trades", "stake_amount", "fee", "pairs"]
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ARGS_BACKTEST = ARGS_COMMON_OPTIMIZE + ["position_stacking", "use_max_market_positions",
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"enable_protections", "dry_run_wallet",
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"enable_protections", "dry_run_wallet", "timeframe_detail",
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"strategy_list", "export", "exportfilename"]
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ARGS_HYPEROPT = ARGS_COMMON_OPTIMIZE + ["hyperopt", "hyperopt_path",
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|
@@ -66,16 +66,22 @@ def ask_user_config() -> Dict[str, Any]:
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{
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"type": "text",
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"name": "stake_amount",
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"message": "Please insert your stake amount:",
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"message": f"Please insert your stake amount (Number or '{UNLIMITED_STAKE_AMOUNT}'):",
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"default": "0.01",
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"validate": lambda val: val == UNLIMITED_STAKE_AMOUNT or validate_is_float(val),
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"filter": lambda val: '"' + UNLIMITED_STAKE_AMOUNT + '"'
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if val == UNLIMITED_STAKE_AMOUNT
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else val
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},
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{
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"type": "text",
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"name": "max_open_trades",
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"message": f"Please insert max_open_trades (Integer or '{UNLIMITED_STAKE_AMOUNT}'):",
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"default": "3",
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"validate": lambda val: val == UNLIMITED_STAKE_AMOUNT or validate_is_int(val)
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"validate": lambda val: val == UNLIMITED_STAKE_AMOUNT or validate_is_int(val),
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"filter": lambda val: '"' + UNLIMITED_STAKE_AMOUNT + '"'
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if val == UNLIMITED_STAKE_AMOUNT
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else val
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},
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{
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"type": "text",
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|
@@ -135,6 +135,10 @@ AVAILABLE_CLI_OPTIONS = {
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help='Override the value of the `stake_amount` configuration setting.',
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),
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# Backtesting
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"timeframe_detail": Arg(
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'--timeframe-detail',
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help='Specify detail timeframe for backtesting (`1m`, `5m`, `30m`, `1h`, `1d`).',
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),
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"position_stacking": Arg(
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'--eps', '--enable-position-stacking',
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help='Allow buying the same pair multiple times (position stacking).',
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@@ -162,7 +166,7 @@ AVAILABLE_CLI_OPTIONS = {
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'Please note that ticker-interval needs to be set either in config '
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'or via command line. When using this together with `--export trades`, '
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'the strategy-name is injected into the filename '
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'(so `backtest-data.json` becomes `backtest-data-DefaultStrategy.json`',
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'(so `backtest-data.json` becomes `backtest-data-SampleStrategy.json`',
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nargs='+',
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),
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"export": Arg(
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|
@@ -74,8 +74,6 @@ def start_new_strategy(args: Dict[str, Any]) -> None:
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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if "strategy" in args and args["strategy"]:
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if args["strategy"] == "DefaultStrategy":
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raise OperationalException("DefaultStrategy is not allowed as name.")
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new_path = config['user_data_dir'] / USERPATH_STRATEGIES / (args['strategy'] + '.py')
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@@ -128,8 +126,6 @@ def start_new_hyperopt(args: Dict[str, Any]) -> None:
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config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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if 'hyperopt' in args and args['hyperopt']:
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if args['hyperopt'] == 'DefaultHyperopt':
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raise OperationalException("DefaultHyperopt is not allowed as name.")
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new_path = config['user_data_dir'] / USERPATH_HYPEROPTS / (args['hyperopt'] + '.py')
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|
@@ -242,6 +242,9 @@ class Configuration:
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except ValueError:
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pass
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self._args_to_config(config, argname='timeframe_detail',
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logstring='Parameter --timeframe-detail detected, '
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'using {} for intra-candle backtesting ...')
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self._args_to_config(config, argname='stake_amount',
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logstring='Parameter --stake-amount detected, '
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'overriding stake_amount to: {} ...')
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|
@@ -49,6 +49,8 @@ USERPATH_NOTEBOOKS = 'notebooks'
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TELEGRAM_SETTING_OPTIONS = ['on', 'off', 'silent']
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ENV_VAR_PREFIX = 'FREQTRADE__'
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NON_OPEN_EXCHANGE_STATES = ('cancelled', 'canceled', 'closed', 'expired')
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# Define decimals per coin for outputs
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# Only used for outputs.
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|
@@ -19,7 +19,8 @@ from ccxt.base.decimal_to_precision import (ROUND_DOWN, ROUND_UP, TICK_SIZE, TRU
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decimal_to_precision)
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from pandas import DataFrame
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from freqtrade.constants import DEFAULT_AMOUNT_RESERVE_PERCENT, ListPairsWithTimeframes
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from freqtrade.constants import (DEFAULT_AMOUNT_RESERVE_PERCENT, NON_OPEN_EXCHANGE_STATES,
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ListPairsWithTimeframes)
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from freqtrade.data.converter import ohlcv_to_dataframe, trades_dict_to_list
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from freqtrade.exceptions import (DDosProtection, ExchangeError, InsufficientFundsError,
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InvalidOrderException, OperationalException, PricingError,
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@@ -351,9 +352,16 @@ class Exchange:
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def validate_stakecurrency(self, stake_currency: str) -> None:
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"""
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Checks stake-currency against available currencies on the exchange.
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Only runs on startup. If markets have not been loaded, there's been a problem with
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the connection to the exchange.
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:param stake_currency: Stake-currency to validate
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:raise: OperationalException if stake-currency is not available.
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"""
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if not self._markets:
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raise OperationalException(
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'Could not load markets, therefore cannot start. '
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'Please investigate the above error for more details.'
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)
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quote_currencies = self.get_quote_currencies()
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if stake_currency not in quote_currencies:
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raise OperationalException(
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@@ -804,7 +812,7 @@ class Exchange:
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:param order: Order dict as returned from fetch_order()
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:return: True if order has been cancelled without being filled, False otherwise.
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"""
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return (order.get('status') in ('closed', 'canceled', 'cancelled')
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return (order.get('status') in NON_OPEN_EXCHANGE_STATES
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and order.get('filled') == 0.0)
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@retrier
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|
@@ -433,11 +433,12 @@ class FreqtradeBot(LoggingMixin):
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# TODO-lev: Does the below need to be adjusted for shorts?
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if self._check_depth_of_market_buy(pair, bid_check_dom):
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# TODO-lev: pass in "enter" as side.
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return self.execute_buy(pair, stake_amount, enter_tag=enter_tag)
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return self.execute_entry(pair, stake_amount, buy_tag=enter_tag)
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else:
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return False
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return self.execute_buy(pair, stake_amount, enter_tag=enter_tag)
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return self.execute_entry(pair, stake_amount, buy_tag=enter_tag)
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else:
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return False
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@@ -465,8 +466,8 @@ class FreqtradeBot(LoggingMixin):
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logger.info(f"Bids to asks delta for {pair} does not satisfy condition.")
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return False
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def execute_buy(self, pair: str, stake_amount: float, price: Optional[float] = None,
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forcebuy: bool = False, enter_tag: Optional[str] = None) -> bool:
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def execute_entry(self, pair: str, stake_amount: float, price: Optional[float] = None,
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forcebuy: bool = False, enter_tag: Optional[str] = None) -> bool:
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"""
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Executes a limit buy for the given pair
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:param pair: pair for which we want to create a LIMIT_BUY
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@@ -746,7 +747,7 @@ class FreqtradeBot(LoggingMixin):
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trade.stoploss_order_id = None
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logger.error(f'Unable to place a stoploss order on exchange. {e}')
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logger.warning('Selling the trade forcefully')
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self.execute_sell(trade, trade.stop_loss, sell_reason=SellCheckTuple(
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self.execute_trade_exit(trade, trade.stop_loss, sell_reason=SellCheckTuple(
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sell_type=SellType.EMERGENCY_SELL))
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except ExchangeError:
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@@ -864,7 +865,7 @@ class FreqtradeBot(LoggingMixin):
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if should_exit.sell_flag:
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logger.info(f'Exit for {trade.pair} detected. Reason: {should_exit.sell_type}')
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self.execute_sell(trade, sell_rate, should_exit)
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self.execute_trade_exit(trade, sell_rate, should_exit)
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return True
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return False
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@@ -946,7 +947,7 @@ class FreqtradeBot(LoggingMixin):
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was_trade_fully_canceled = False
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# Cancelled orders may have the status of 'canceled' or 'closed'
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if order['status'] not in ('cancelled', 'canceled', 'closed'):
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if order['status'] not in constants.NON_OPEN_EXCHANGE_STATES:
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filled_val = order.get('filled', 0.0) or 0.0
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filled_stake = filled_val * trade.open_rate
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minstake = self.exchange.get_min_pair_stake_amount(
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@@ -962,7 +963,7 @@ class FreqtradeBot(LoggingMixin):
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# Avoid race condition where the order could not be cancelled coz its already filled.
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# Simply bailing here is the only safe way - as this order will then be
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# handled in the next iteration.
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if corder.get('status') not in ('cancelled', 'canceled', 'closed'):
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if corder.get('status') not in constants.NON_OPEN_EXCHANGE_STATES:
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logger.warning(f"Order {trade.open_order_id} for {trade.pair} not cancelled.")
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return False
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else:
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@@ -1065,9 +1066,9 @@ class FreqtradeBot(LoggingMixin):
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raise DependencyException(
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f"Not enough amount to sell. Trade-amount: {amount}, Wallet: {wallet_amount}")
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def execute_sell(self, trade: Trade, limit: float, sell_reason: SellCheckTuple) -> bool:
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def execute_trade_exit(self, trade: Trade, limit: float, sell_reason: SellCheckTuple) -> bool:
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"""
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Executes a limit sell for the given trade and limit
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Executes a trade exit for the given trade and limit
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:param trade: Trade instance
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:param limit: limit rate for the sell order
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:param sell_reason: Reason the sell was triggered
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@@ -1143,7 +1144,7 @@ class FreqtradeBot(LoggingMixin):
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trade.close_rate_requested = limit
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trade.sell_reason = sell_reason.sell_reason
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# In case of market sell orders the order can be closed immediately
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if order.get('status', 'unknown') == 'closed':
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if order.get('status', 'unknown') in ('closed', 'expired'):
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self.update_trade_state(trade, trade.open_order_id, order)
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Trade.commit()
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|
@@ -89,6 +89,17 @@ class Backtesting:
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"configuration or as cli argument `--timeframe 5m`")
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self.timeframe = str(self.config.get('timeframe'))
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self.timeframe_min = timeframe_to_minutes(self.timeframe)
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# Load detail timeframe if specified
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self.timeframe_detail = str(self.config.get('timeframe_detail', ''))
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if self.timeframe_detail:
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self.timeframe_detail_min = timeframe_to_minutes(self.timeframe_detail)
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if self.timeframe_min <= self.timeframe_detail_min:
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raise OperationalException(
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"Detail timeframe must be smaller than strategy timeframe.")
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else:
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self.timeframe_detail_min = 0
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self.detail_data: Dict[str, DataFrame] = {}
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self.pairlists = PairListManager(self.exchange, self.config)
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if 'VolumePairList' in self.pairlists.name_list:
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@@ -191,6 +202,23 @@ class Backtesting:
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self.progress.set_new_value(1)
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return data, self.timerange
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def load_bt_data_detail(self) -> None:
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"""
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Loads backtest detail data (smaller timeframe) if necessary.
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"""
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if self.timeframe_detail:
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self.detail_data = history.load_data(
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datadir=self.config['datadir'],
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pairs=self.pairlists.whitelist,
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timeframe=self.timeframe_detail,
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timerange=self.timerange,
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startup_candles=0,
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fail_without_data=True,
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data_format=self.config.get('dataformat_ohlcv', 'json'),
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)
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else:
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self.detail_data = {}
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def prepare_backtest(self, enable_protections):
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"""
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Backtesting setup method - called once for every call to "backtest()".
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@@ -334,7 +362,8 @@ class Backtesting:
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else:
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return sell_row[OPEN_IDX]
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def _get_sell_trade_entry(self, trade: LocalTrade, sell_row: Tuple) -> Optional[LocalTrade]:
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def _get_sell_trade_entry_for_candle(self, trade: LocalTrade,
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sell_row: Tuple) -> Optional[LocalTrade]:
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sell_candle_time = sell_row[DATE_IDX].to_pydatetime()
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enter = sell_row[LONG_IDX] if trade.is_short else sell_row[SHORT_IDX]
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exit_ = sell_row[ELONG_IDX] if trade.is_short else sell_row[ESHORT_IDX]
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@@ -365,6 +394,35 @@ class Backtesting:
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return None
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def _get_sell_trade_entry(self, trade: LocalTrade, sell_row: Tuple) -> Optional[LocalTrade]:
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if self.timeframe_detail and trade.pair in self.detail_data:
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sell_candle_time = sell_row[DATE_IDX].to_pydatetime()
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sell_candle_end = sell_candle_time + timedelta(minutes=self.timeframe_min)
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detail_data = self.detail_data[trade.pair]
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detail_data = detail_data.loc[
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||||
(detail_data['date'] >= sell_candle_time) &
|
||||
(detail_data['date'] < sell_candle_end)
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||||
]
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if len(detail_data) == 0:
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||||
# Fall back to "regular" data if no detail data was found for this candle
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return self._get_sell_trade_entry_for_candle(trade, sell_row)
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detail_data['enter_long'] = sell_row[LONG_IDX]
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detail_data['exit_long'] = sell_row[ELONG_IDX]
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detail_data['enter_short'] = sell_row[SHORT_IDX]
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detail_data['exit_short'] = sell_row[ESHORT_IDX]
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headers = ['date', 'open', 'high', 'low', 'close', 'enter_long', 'exit_long',
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'enter_short', 'exit_short']
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for det_row in detail_data[headers].values.tolist():
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res = self._get_sell_trade_entry_for_candle(trade, det_row)
|
||||
if res:
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||||
return res
|
||||
|
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return None
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|
||||
else:
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return self._get_sell_trade_entry_for_candle(trade, sell_row)
|
||||
|
||||
def _enter_trade(self, pair: str, row: List, direction: str) -> Optional[LocalTrade]:
|
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try:
|
||||
stake_amount = self.wallets.get_trade_stake_amount(pair, None)
|
||||
@@ -626,6 +684,7 @@ class Backtesting:
|
||||
data: Dict[str, Any] = {}
|
||||
|
||||
data, timerange = self.load_bt_data()
|
||||
self.load_bt_data_detail()
|
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logger.info("Dataload complete. Calculating indicators")
|
||||
|
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for strat in self.strategylist:
|
||||
|
@@ -368,6 +368,7 @@ def generate_strategy_stats(btdata: Dict[str, DataFrame],
|
||||
'max_open_trades_setting': (config['max_open_trades']
|
||||
if config['max_open_trades'] != float('inf') else -1),
|
||||
'timeframe': config['timeframe'],
|
||||
'timeframe_detail': config.get('timeframe_detail', ''),
|
||||
'timerange': config.get('timerange', ''),
|
||||
'enable_protections': config.get('enable_protections', False),
|
||||
'strategy_name': strategy,
|
||||
|
@@ -13,7 +13,7 @@ from sqlalchemy.orm import Query, declarative_base, relationship, scoped_session
|
||||
from sqlalchemy.pool import StaticPool
|
||||
from sqlalchemy.sql.schema import UniqueConstraint
|
||||
|
||||
from freqtrade.constants import DATETIME_PRINT_FORMAT
|
||||
from freqtrade.constants import DATETIME_PRINT_FORMAT, NON_OPEN_EXCHANGE_STATES
|
||||
from freqtrade.enums import SellType
|
||||
from freqtrade.exceptions import DependencyException, OperationalException
|
||||
from freqtrade.leverage import interest
|
||||
@@ -164,7 +164,7 @@ class Order(_DECL_BASE):
|
||||
self.order_date = datetime.fromtimestamp(order['timestamp'] / 1000, tz=timezone.utc)
|
||||
|
||||
self.ft_is_open = True
|
||||
if self.status in ('closed', 'canceled', 'cancelled'):
|
||||
if self.status in NON_OPEN_EXCHANGE_STATES:
|
||||
self.ft_is_open = False
|
||||
if (order.get('filled', 0.0) or 0.0) > 0:
|
||||
self.order_filled_date = datetime.now(timezone.utc)
|
||||
|
@@ -46,11 +46,14 @@ async def api_start_backtest(bt_settings: BacktestRequest, background_tasks: Bac
|
||||
if (
|
||||
not ApiServer._bt
|
||||
or lastconfig.get('timeframe') != strat.timeframe
|
||||
or lastconfig.get('timeframe_detail') != btconfig.get('timeframe_detail')
|
||||
or lastconfig.get('dry_run_wallet') != btconfig.get('dry_run_wallet', 0)
|
||||
or lastconfig.get('timerange') != btconfig['timerange']
|
||||
):
|
||||
from freqtrade.optimize.backtesting import Backtesting
|
||||
ApiServer._bt = Backtesting(btconfig)
|
||||
if ApiServer._bt.timeframe_detail:
|
||||
ApiServer._bt.load_bt_data_detail()
|
||||
|
||||
# Only reload data if timeframe changed.
|
||||
if (
|
||||
|
@@ -324,6 +324,7 @@ class PairHistory(BaseModel):
|
||||
class BacktestRequest(BaseModel):
|
||||
strategy: str
|
||||
timeframe: Optional[str]
|
||||
timeframe_detail: Optional[str]
|
||||
timerange: Optional[str]
|
||||
max_open_trades: Optional[int]
|
||||
stake_amount: Optional[Union[float, str]]
|
||||
|
@@ -557,7 +557,7 @@ class RPC:
|
||||
current_rate = self._freqtrade.exchange.get_rate(
|
||||
trade.pair, refresh=False, side="sell")
|
||||
sell_reason = SellCheckTuple(sell_type=SellType.FORCE_SELL)
|
||||
self._freqtrade.execute_sell(trade, current_rate, sell_reason)
|
||||
self._freqtrade.execute_trade_exit(trade, current_rate, sell_reason)
|
||||
# ---- EOF def _exec_forcesell ----
|
||||
|
||||
if self._freqtrade.state != State.RUNNING:
|
||||
@@ -613,7 +613,7 @@ class RPC:
|
||||
stakeamount = self._freqtrade.wallets.get_trade_stake_amount(pair)
|
||||
|
||||
# execute buy
|
||||
if self._freqtrade.execute_buy(pair, stakeamount, price, forcebuy=True):
|
||||
if self._freqtrade.execute_entry(pair, stakeamount, price, forcebuy=True):
|
||||
Trade.commit()
|
||||
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
|
||||
return trade
|
||||
|
@@ -120,6 +120,8 @@ class IStrategy(ABC, HyperStrategyMixin):
|
||||
# and wallets - access to the current balance.
|
||||
dp: Optional[DataProvider] = None
|
||||
wallets: Optional[Wallets] = None
|
||||
# Filled from configuration
|
||||
stake_currency: str
|
||||
# container variable for strategy source code
|
||||
__source__: str = ''
|
||||
|
||||
|
@@ -36,6 +36,6 @@
|
||||
"BNB/TUSD",
|
||||
"BNB/USDC",
|
||||
"BNB/USDS",
|
||||
"BNB/USDT",
|
||||
"BNB/USDT"
|
||||
]
|
||||
}
|
||||
|
Reference in New Issue
Block a user