Merge branch 'develop' into freqtrade-development
This commit is contained in:
@@ -31,7 +31,8 @@ ARGS_HYPEROPT = ARGS_COMMON_OPTIMIZE + ["hyperopt", "hyperopt_path",
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"epochs", "spaces", "print_all",
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"print_colorized", "print_json", "hyperopt_jobs",
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"hyperopt_random_state", "hyperopt_min_trades",
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"hyperopt_loss", "disableparamexport"]
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"hyperopt_loss", "disableparamexport",
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"hyperopt_ignore_missing_space"]
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ARGS_EDGE = ARGS_COMMON_OPTIMIZE + ["stoploss_range"]
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@@ -62,9 +63,9 @@ ARGS_CONVERT_TRADES = ["pairs", "timeframes", "exchange", "dataformat_ohlcv", "d
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ARGS_LIST_DATA = ["exchange", "dataformat_ohlcv", "pairs"]
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ARGS_DOWNLOAD_DATA = ["pairs", "pairs_file", "days", "new_pairs_days", "timerange",
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"download_trades", "exchange", "timeframes", "erase", "dataformat_ohlcv",
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"dataformat_trades"]
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ARGS_DOWNLOAD_DATA = ["pairs", "pairs_file", "days", "new_pairs_days", "include_inactive",
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"timerange", "download_trades", "exchange", "timeframes",
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"erase", "dataformat_ohlcv", "dataformat_trades"]
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ARGS_PLOT_DATAFRAME = ["pairs", "indicators1", "indicators2", "plot_limit",
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"db_url", "trade_source", "export", "exportfilename",
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@@ -355,6 +355,11 @@ AVAILABLE_CLI_OPTIONS = {
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type=check_int_positive,
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metavar='INT',
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),
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"include_inactive": Arg(
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'--include-inactive-pairs',
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help='Also download data from inactive pairs.',
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action='store_true',
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),
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"new_pairs_days": Arg(
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'--new-pairs-days',
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help='Download data of new pairs for given number of days. Default: `%(default)s`.',
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@@ -558,4 +563,10 @@ AVAILABLE_CLI_OPTIONS = {
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help='Do not print epoch details header.',
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action='store_true',
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),
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"hyperopt_ignore_missing_space": Arg(
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"--ignore-missing-spaces", "--ignore-unparameterized-spaces",
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help=("Suppress errors for any requested Hyperopt spaces "
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"that do not contain any parameters."),
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action="store_true",
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),
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}
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@@ -11,6 +11,7 @@ from freqtrade.data.history import (convert_trades_to_ohlcv, refresh_backtest_oh
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from freqtrade.enums import RunMode
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from freqtrade.exceptions import OperationalException
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.exchange.exchange import market_is_active
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from freqtrade.plugins.pairlist.pairlist_helpers import expand_pairlist
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from freqtrade.resolvers import ExchangeResolver
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@@ -47,11 +48,13 @@ def start_download_data(args: Dict[str, Any]) -> None:
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# Init exchange
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exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config, validate=False)
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markets = [p for p, m in exchange.markets.items() if market_is_active(m)
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or config.get('include_inactive')]
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expanded_pairs = expand_pairlist(config['pairs'], markets)
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# Manual validations of relevant settings
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if not config['exchange'].get('skip_pair_validation', False):
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exchange.validate_pairs(config['pairs'])
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expanded_pairs = expand_pairlist(config['pairs'], list(exchange.markets))
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exchange.validate_pairs(expanded_pairs)
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logger.info(f"About to download pairs: {expanded_pairs}, "
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f"intervals: {config['timeframes']} to {config['datadir']}")
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@@ -369,6 +369,9 @@ class Configuration:
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self._args_to_config(config, argname='hyperopt_show_no_header',
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logstring='Parameter --no-header detected: {}')
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self._args_to_config(config, argname="hyperopt_ignore_missing_space",
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logstring="Paramter --ignore-missing-space detected: {}")
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def _process_plot_options(self, config: Dict[str, Any]) -> None:
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self._args_to_config(config, argname='pairs',
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@@ -404,6 +407,9 @@ class Configuration:
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self._args_to_config(config, argname='days',
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logstring='Detected --days: {}')
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self._args_to_config(config, argname='include_inactive',
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logstring='Detected --include-inactive-pairs: {}')
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self._args_to_config(config, argname='download_trades',
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logstring='Detected --dl-trades: {}')
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@@ -258,6 +258,7 @@ class Hyperopt:
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if HyperoptTools.has_space(self.config, 'trailing'):
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logger.debug("Hyperopt has 'trailing' space")
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self.trailing_space = self.custom_hyperopt.trailing_space()
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self.dimensions = (self.buy_space + self.sell_space + self.protection_space
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+ self.roi_space + self.stoploss_space + self.trailing_space)
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@@ -3,6 +3,7 @@ HyperOptAuto class.
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This module implements a convenience auto-hyperopt class, which can be used together with strategies
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that implement IHyperStrategy interface.
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"""
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import logging
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from contextlib import suppress
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from typing import Callable, Dict, List
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@@ -15,12 +16,19 @@ with suppress(ImportError):
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from freqtrade.optimize.hyperopt_interface import EstimatorType, IHyperOpt
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def _format_exception_message(space: str) -> str:
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raise OperationalException(
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f"The '{space}' space is included into the hyperoptimization "
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f"but no parameter for this space was not found in your Strategy. "
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f"Please make sure to have parameters for this space enabled for optimization "
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f"or remove the '{space}' space from hyperoptimization.")
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logger = logging.getLogger(__name__)
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def _format_exception_message(space: str, ignore_missing_space: bool) -> None:
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msg = (f"The '{space}' space is included into the hyperoptimization "
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f"but no parameter for this space was not found in your Strategy. "
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)
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if ignore_missing_space:
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logger.warning(msg + "This space will be ignored.")
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else:
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raise OperationalException(
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msg + f"Please make sure to have parameters for this space enabled for optimization "
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f"or remove the '{space}' space from hyperoptimization.")
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class HyperOptAuto(IHyperOpt):
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@@ -48,13 +56,16 @@ class HyperOptAuto(IHyperOpt):
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if attr.optimize:
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yield attr.get_space(attr_name)
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def _get_indicator_space(self, category):
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def _get_indicator_space(self, category) -> List:
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# TODO: is this necessary, or can we call "generate_space" directly?
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indicator_space = list(self._generate_indicator_space(category))
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if len(indicator_space) > 0:
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return indicator_space
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else:
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_format_exception_message(category)
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_format_exception_message(
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category,
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self.config.get("hyperopt_ignore_missing_space", False))
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return []
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def buy_indicator_space(self) -> List['Dimension']:
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return self._get_indicator_space('buy')
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@@ -21,6 +21,7 @@ class PerformanceFilter(IPairList):
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super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
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self._minutes = pairlistconfig.get('minutes', 0)
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self._min_profit = pairlistconfig.get('min_profit', None)
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@property
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def needstickers(self) -> bool:
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@@ -68,6 +69,14 @@ class PerformanceFilter(IPairList):
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sorted_df = list_df.merge(performance, on='pair', how='left')\
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.fillna(0).sort_values(by=['count', 'pair'], ascending=True)\
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.sort_values(by=['profit'], ascending=False)
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if self._min_profit is not None:
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removed = sorted_df[sorted_df['profit'] < self._min_profit]
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for _, row in removed.iterrows():
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self.log_once(
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f"Removing pair {row['pair']} since {row['profit']} is "
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f"below {self._min_profit}", logger.info)
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sorted_df = sorted_df[sorted_df['profit'] >= self._min_profit]
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pairlist = sorted_df['pair'].tolist()
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return pairlist
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@@ -1,5 +1,6 @@
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from typing import Any, Dict, Optional
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from typing import Any, Dict, Iterator, Optional
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from freqtrade.persistence import Trade
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from freqtrade.rpc.rpc import RPC, RPCException
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from .webserver import ApiServer
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@@ -11,10 +12,12 @@ def get_rpc_optional() -> Optional[RPC]:
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return None
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def get_rpc() -> Optional[RPC]:
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def get_rpc() -> Optional[Iterator[RPC]]:
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_rpc = get_rpc_optional()
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if _rpc:
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return _rpc
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Trade.query.session.rollback()
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yield _rpc
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Trade.query.session.rollback()
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else:
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raise RPCException('Bot is not in the correct state')
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@@ -25,6 +25,7 @@ from freqtrade.constants import DUST_PER_COIN
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from freqtrade.enums import RPCMessageType
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from freqtrade.exceptions import OperationalException
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from freqtrade.misc import chunks, plural, round_coin_value
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from freqtrade.persistence import Trade
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from freqtrade.rpc import RPC, RPCException, RPCHandler
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@@ -59,7 +60,8 @@ def authorized_only(command_handler: Callable[..., None]) -> Callable[..., Any]:
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update.message.chat_id
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)
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return wrapper
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# Rollback session to avoid getting data stored in a transaction.
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Trade.query.session.rollback()
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logger.debug(
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'Executing handler: %s for chat_id: %s',
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command_handler.__name__,
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10
freqtrade/vendor/qtpylib/indicators.py
vendored
10
freqtrade/vendor/qtpylib/indicators.py
vendored
@@ -339,11 +339,13 @@ def vwap(bars):
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(input can be pandas series or numpy array)
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bars are usually mid [ (h+l)/2 ] or typical [ (h+l+c)/3 ]
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"""
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typical = ((bars['high'] + bars['low'] + bars['close']) / 3).values
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volume = bars['volume'].values
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raise ValueError("using `qtpylib.vwap` facilitates lookahead bias. Please use "
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"`qtpylib.rolling_vwap` instead, which calculates vwap in a rolling manner.")
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# typical = ((bars['high'] + bars['low'] + bars['close']) / 3).values
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# volume = bars['volume'].values
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return pd.Series(index=bars.index,
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data=np.cumsum(volume * typical) / np.cumsum(volume))
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# return pd.Series(index=bars.index,
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# data=np.cumsum(volume * typical) / np.cumsum(volume))
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# ---------------------------------------------
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