Allow changing severity of strategy-validations to log only.
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@ -132,6 +132,7 @@
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"process_throttle_secs": 5,
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"heartbeat_interval": 60
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},
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"disable_dataframe_checks": false,
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"strategy": "DefaultStrategy",
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"strategy_path": "user_data/strategies/",
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"dataformat_ohlcv": "json",
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@ -107,6 +107,7 @@ Mandatory parameters are marked as **Required**, which means that they are requi
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| `db_url` | Declares database URL to use. NOTE: This defaults to `sqlite:///tradesv3.dryrun.sqlite` if `dry_run` is `true`, and to `sqlite:///tradesv3.sqlite` for production instances. <br> **Datatype:** String, SQLAlchemy connect string
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| `initial_state` | Defines the initial application state. More information below. <br>*Defaults to `stopped`.* <br> **Datatype:** Enum, either `stopped` or `running`
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| `forcebuy_enable` | Enables the RPC Commands to force a buy. More information below. <br> **Datatype:** Boolean
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| `disable_dataframe_checks` | Disable checking the dataframe for correctness. Only use when intentionally changing the dataframe. [Strategy Override](#parameters-in-the-strategy).[Strategy Override](#parameters-in-the-strategy).<br> *Defaults to `False`*. <br> **Datatype:** Boolean
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| `strategy` | **Required** Defines Strategy class to use. Recommended to be set via `--strategy NAME`. <br> **Datatype:** ClassName
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| `strategy_path` | Adds an additional strategy lookup path (must be a directory). <br> **Datatype:** String
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| `internals.process_throttle_secs` | Set the process throttle. Value in second. <br>*Defaults to `5` seconds.* <br> **Datatype:** Positive Integer
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@ -227,6 +227,7 @@ CONF_SCHEMA = {
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'db_url': {'type': 'string'},
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'initial_state': {'type': 'string', 'enum': ['running', 'stopped']},
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'forcebuy_enable': {'type': 'boolean'},
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'disable_dataframe_checks': {'type': 'boolean'},
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'internals': {
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'type': 'object',
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'default': {},
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@ -52,37 +52,38 @@ class StrategyResolver(IResolver):
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# Set attributes
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# Check if we need to override configuration
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# (Attribute name, default, ask_strategy)
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attributes = [("minimal_roi", {"0": 10.0}, False),
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("ticker_interval", None, False),
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("stoploss", None, False),
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("trailing_stop", None, False),
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("trailing_stop_positive", None, False),
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("trailing_stop_positive_offset", 0.0, False),
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("trailing_only_offset_is_reached", None, False),
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("process_only_new_candles", None, False),
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("order_types", None, False),
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("order_time_in_force", None, False),
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("stake_currency", None, False),
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("stake_amount", None, False),
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("startup_candle_count", None, False),
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("unfilledtimeout", None, False),
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("use_sell_signal", True, True),
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("sell_profit_only", False, True),
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("ignore_roi_if_buy_signal", False, True),
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# (Attribute name, default, subkey)
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attributes = [("minimal_roi", {"0": 10.0}, None),
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("ticker_interval", None, None),
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("stoploss", None, None),
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("trailing_stop", None, None),
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("trailing_stop_positive", None, None),
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("trailing_stop_positive_offset", 0.0, None),
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("trailing_only_offset_is_reached", None, None),
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("process_only_new_candles", None, None),
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("order_types", None, None),
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("order_time_in_force", None, None),
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("stake_currency", None, None),
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("stake_amount", None, None),
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("startup_candle_count", None, None),
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("unfilledtimeout", None, None),
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("use_sell_signal", True, 'ask_strategy'),
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("sell_profit_only", False, 'ask_strategy'),
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("ignore_roi_if_buy_signal", False, 'ask_strategy'),
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("disable_dataframe_checks", False, 'internals')
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]
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for attribute, default, ask_strategy in attributes:
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if ask_strategy:
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StrategyResolver._override_attribute_helper(strategy, config['ask_strategy'],
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for attribute, default, subkey in attributes:
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if subkey:
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StrategyResolver._override_attribute_helper(strategy, config.get(subkey, {}),
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attribute, default)
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else:
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StrategyResolver._override_attribute_helper(strategy, config,
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attribute, default)
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# Loop this list again to have output combined
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for attribute, _, exp in attributes:
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if exp and attribute in config['ask_strategy']:
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logger.info("Strategy using %s: %s", attribute, config['ask_strategy'][attribute])
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for attribute, _, subkey in attributes:
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if subkey and attribute in config[subkey]:
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logger.info("Strategy using %s: %s", attribute, config[subkey][attribute])
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elif attribute in config:
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logger.info("Strategy using %s: %s", attribute, config[attribute])
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@ -106,6 +106,9 @@ class IStrategy(ABC):
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# run "populate_indicators" only for new candle
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process_only_new_candles: bool = False
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# Disable checking the dataframe (converts the error into a warning message)
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disable_dataframe_checks: bool = False
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# Count of candles the strategy requires before producing valid signals
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startup_candle_count: int = 0
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@ -285,8 +288,7 @@ class IStrategy(ABC):
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""" keep some data for dataframes """
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return len(dataframe), dataframe["close"].iloc[-1], dataframe["date"].iloc[-1]
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@staticmethod
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def assert_df(dataframe: DataFrame, df_len: int, df_close: float, df_date: datetime):
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def assert_df(self, dataframe: DataFrame, df_len: int, df_close: float, df_date: datetime):
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""" make sure data is unmodified """
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message = ""
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if df_len != len(dataframe):
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@ -296,6 +298,9 @@ class IStrategy(ABC):
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elif df_date != dataframe["date"].iloc[-1]:
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message = "last date"
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if message:
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if self.disable_dataframe_checks:
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logger.warning(f"Dataframe returned from strategy has mismatching {message}.")
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else:
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raise StrategyError(f"Dataframe returned from strategy has mismatching {message}.")
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def get_signal(self, pair: str, interval: str, dataframe: DataFrame) -> Tuple[bool, bool]:
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@ -130,7 +130,7 @@ def test_assert_df_raise(default_conf, mocker, caplog, ohlcv_history):
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caplog)
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def test_assert_df(default_conf, mocker, ohlcv_history):
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def test_assert_df(default_conf, mocker, ohlcv_history, caplog):
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# Ensure it's running when passed correctly
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_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
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ohlcv_history.loc[1, 'close'], ohlcv_history.loc[1, 'date'])
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@ -148,6 +148,14 @@ def test_assert_df(default_conf, mocker, ohlcv_history):
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_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
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ohlcv_history.loc[1, 'close'], ohlcv_history.loc[0, 'date'])
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_STRATEGY.disable_dataframe_checks = True
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caplog.clear()
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_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
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ohlcv_history.loc[1, 'close'], ohlcv_history.loc[0, 'date'])
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assert log_has_re(r"Dataframe returned from strategy.*last date\.", caplog)
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# reset to avoid problems in other tests
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_STRATEGY.disable_dataframe_checks = False
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def test_get_signal_handles_exceptions(mocker, default_conf):
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exchange = get_patched_exchange(mocker, default_conf)
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