add producer names
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510cf4f305
commit
865b34cd6f
@ -498,6 +498,7 @@ CONF_SCHEMA = {
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'items': {
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'type': 'object',
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'properties': {
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'name': {'type': 'string'},
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'url': {'type': 'string', 'default': ''},
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'ws_token': {'type': 'string', 'default': ''},
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}
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@ -34,8 +34,8 @@ class DataProvider:
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self,
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config: dict,
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exchange: Optional[Exchange],
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rpc: Optional[RPCManager] = None,
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pairlists=None
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pairlists=None,
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rpc: Optional[RPCManager] = None
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) -> None:
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self._config = config
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self._exchange = exchange
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@ -44,8 +44,9 @@ class DataProvider:
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self.__cached_pairs: Dict[PairWithTimeframe, Tuple[DataFrame, datetime]] = {}
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self.__slice_index: Optional[int] = None
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self.__cached_pairs_backtesting: Dict[PairWithTimeframe, DataFrame] = {}
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self.__external_pairs_df: Dict[PairWithTimeframe, Tuple[DataFrame, datetime]] = {}
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self.__producer_pairs: List[str] = []
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self.__producer_pairs_df: Dict[str,
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Dict[PairWithTimeframe, Tuple[DataFrame, datetime]]] = {}
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self.__producer_pairs: Dict[str, List[str]] = {}
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self._msg_queue: deque = deque()
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self.__msg_cache = PeriodicCache(
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@ -84,22 +85,22 @@ class DataProvider:
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dataframe, datetime.now(timezone.utc))
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# For multiple producers we will want to merge the pairlists instead of overwriting
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def set_producer_pairs(self, pairlist: List[str]):
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def set_producer_pairs(self, pairlist: List[str], producer_name: str = "default"):
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"""
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Set the pairs received to later be used.
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This only supports 1 Producer right now.
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:param pairlist: List of pairs
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"""
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self.__producer_pairs = pairlist.copy()
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self.__producer_pairs[producer_name] = pairlist.copy()
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def get_producer_pairs(self) -> List[str]:
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def get_producer_pairs(self, producer_name: str = "default") -> List[str]:
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"""
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Get the pairs cached from the producer
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:returns: List of pairs
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"""
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return self.__producer_pairs
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return self.__producer_pairs.get(producer_name, [])
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def emit_df(
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self,
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@ -129,6 +130,7 @@ class DataProvider:
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timeframe: str,
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dataframe: DataFrame,
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candle_type: CandleType,
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producer_name: str = "default"
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) -> None:
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"""
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Add the pair data to this class from an external source.
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@ -139,15 +141,19 @@ class DataProvider:
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"""
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pair_key = (pair, timeframe, candle_type)
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if producer_name not in self.__producer_pairs_df:
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self.__producer_pairs_df[producer_name] = {}
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# For multiple leaders, if the data already exists, we'd merge
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self.__external_pairs_df[pair_key] = (dataframe, datetime.now(timezone.utc))
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self.__producer_pairs_df[producer_name][pair_key] = (dataframe, datetime.now(timezone.utc))
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def get_external_df(
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self,
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pair: str,
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timeframe: str,
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candle_type: CandleType
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) -> DataFrame:
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candle_type: CandleType,
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producer_name: str = "default"
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) -> Tuple[DataFrame, datetime]:
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"""
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Get the pair data from the external sources. Will wait if the policy is
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set to, and data is not available.
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@ -158,11 +164,15 @@ class DataProvider:
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"""
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pair_key = (pair, timeframe, candle_type)
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if pair_key not in self.__external_pairs_df:
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if producer_name not in self.__producer_pairs_df:
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# We don't have this data yet, return empty DataFrame and datetime (01-01-1970)
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return (DataFrame(), datetime.fromtimestamp(0, tz=timezone.utc))
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return self.__external_pairs_df[pair_key]
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if pair_key not in self.__producer_pairs_df:
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# We don't have this data yet, return empty DataFrame and datetime (01-01-1970)
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return (DataFrame(), datetime.fromtimestamp(0, tz=timezone.utc))
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return self.__producer_pairs_df[producer_name][pair_key]
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def add_pairlisthandler(self, pairlists) -> None:
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"""
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@ -30,7 +30,7 @@ from freqtrade.plugins.pairlistmanager import PairListManager
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from freqtrade.plugins.protectionmanager import ProtectionManager
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from freqtrade.resolvers import ExchangeResolver, StrategyResolver
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from freqtrade.rpc import RPCManager
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from freqtrade.rpc.emc import ExternalMessageConsumer
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from freqtrade.rpc.external_message_consumer import ExternalMessageConsumer
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from freqtrade.strategy.interface import IStrategy
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from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
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from freqtrade.util import FtPrecise
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@ -85,7 +85,7 @@ class FreqtradeBot(LoggingMixin):
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# Keep this at the end of this initialization method.
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self.rpc: RPCManager = RPCManager(self)
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self.dataprovider = DataProvider(self.config, self.exchange, self.rpc, self.pairlists)
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self.dataprovider = DataProvider(self.config, self.exchange, self.pairlists, self.rpc)
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# Attach Dataprovider to strategy instance
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self.strategy.dp = self.dataprovider
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@ -202,8 +202,9 @@ class FreqtradeBot(LoggingMixin):
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# This just means we won't broadcast dataframes if we're listening to a producer
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# Doesn't necessarily NEED to be this way, as maybe we'd like to broadcast
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# even if we are using external dataframes in the future.
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self.strategy.analyze(self.active_pair_whitelist,
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external_data=self.dataprovider.external_data_enabled)
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emit_df=self.dataprovider.external_data_enabled)
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with self._exit_lock:
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# Check for exchange cancelations, timeouts and user requested replace
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@ -162,7 +162,7 @@ class ExternalMessageConsumer:
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async with lock:
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# Handle the message
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self.handle_producer_message(message)
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self.handle_producer_message(producer, message)
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except (asyncio.TimeoutError, websockets.exceptions.ConnectionClosed):
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# We haven't received data yet. Check the connection and continue.
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@ -210,10 +210,11 @@ class ExternalMessageConsumer:
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# How we do things here isn't set in stone. There seems to be some interest
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# in figuring out a better way, but we shall do this for now.
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def handle_producer_message(self, message: Dict[str, Any]):
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def handle_producer_message(self, producer: Dict[str, Any], message: Dict[str, Any]):
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"""
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Handles external messages from a Producer
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"""
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producer_name = producer.get('name', 'default')
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# Should we have a default message type?
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message_type = message.get('type', RPCMessageType.STATUS)
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message_data = message.get('data')
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@ -229,7 +230,7 @@ class ExternalMessageConsumer:
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pairlist = message_data
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# Add the pairlist data to the DataProvider
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self._dp.set_producer_pairs(pairlist)
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self._dp.set_producer_pairs(pairlist, producer_name=producer_name)
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# Handle analyzed dataframes
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elif message_type == RPCMessageType.ANALYZED_DF:
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@ -246,4 +247,5 @@ class ExternalMessageConsumer:
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dataframe = remove_entry_exit_signals(dataframe)
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# Add the dataframe to the dataprovider
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self._dp.add_external_df(pair, timeframe, dataframe, candle_type)
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self._dp.add_external_df(pair, timeframe, dataframe,
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candle_type, producer_name=producer_name)
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@ -682,8 +682,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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def analyze_ticker(
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self,
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dataframe: DataFrame,
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metadata: dict,
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populate_indicators: bool = True
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metadata: dict
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) -> DataFrame:
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"""
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Parses the given candle (OHLCV) data and returns a populated DataFrame
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@ -693,8 +692,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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:return: DataFrame of candle (OHLCV) data with indicator data and signals added
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"""
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logger.debug("TA Analysis Launched")
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if populate_indicators:
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dataframe = self.advise_indicators(dataframe, metadata)
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dataframe = self.advise_indicators(dataframe, metadata)
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dataframe = self.advise_entry(dataframe, metadata)
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dataframe = self.advise_exit(dataframe, metadata)
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return dataframe
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@ -703,7 +701,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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self,
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dataframe: DataFrame,
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metadata: dict,
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external_data: bool = False
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emit_df: bool = False
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) -> DataFrame:
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"""
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Parses the given candle (OHLCV) data and returns a populated DataFrame
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@ -720,16 +718,15 @@ class IStrategy(ABC, HyperStrategyMixin):
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if (not self.process_only_new_candles or
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self._last_candle_seen_per_pair.get(pair, None) != dataframe.iloc[-1]['date']):
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populate_indicators = not external_data
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# Defs that only make change on new candle data.
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dataframe = self.analyze_ticker(dataframe, metadata, populate_indicators)
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dataframe = self.analyze_ticker(dataframe, metadata)
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self._last_candle_seen_per_pair[pair] = dataframe.iloc[-1]['date']
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candle_type = self.config.get('candle_type_def', CandleType.SPOT)
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self.dp._set_cached_df(pair, self.timeframe, dataframe, candle_type=candle_type)
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if populate_indicators:
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if emit_df:
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self.dp.emit_df((pair, self.timeframe, candle_type), dataframe)
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else:
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@ -743,7 +740,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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def analyze_pair(
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self,
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pair: str,
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external_data: bool = False
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emit_df: bool = False
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) -> None:
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"""
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Fetch data for this pair from dataprovider and analyze.
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@ -764,7 +761,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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dataframe = strategy_safe_wrapper(
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self._analyze_ticker_internal, message=""
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)(dataframe, {'pair': pair}, external_data)
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)(dataframe, {'pair': pair}, emit_df)
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self.assert_df(dataframe, df_len, df_close, df_date)
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except StrategyError as error:
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@ -778,14 +775,14 @@ class IStrategy(ABC, HyperStrategyMixin):
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def analyze(
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self,
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pairs: List[str],
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external_data: bool = False
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emit_df: bool = False
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) -> None:
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"""
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Analyze all pairs using analyze_pair().
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:param pairs: List of pairs to analyze
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"""
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for pair in pairs:
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self.analyze_pair(pair, external_data)
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self.analyze_pair(pair, emit_df)
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@ staticmethod
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def preserve_df(dataframe: DataFrame) -> Tuple[int, float, datetime]:
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@ -2138,10 +2138,9 @@ def test_send_msg_strategy_msg_notification(default_conf, mocker) -> None:
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def test_send_msg_unknown_type(default_conf, mocker) -> None:
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telegram, _, _ = get_telegram_testobject(mocker, default_conf)
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with pytest.raises(NotImplementedError, match=r'Unknown message type: None'):
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telegram.send_msg({
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'type': None,
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})
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telegram.send_msg({
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'type': None,
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})
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@pytest.mark.parametrize('message_type,enter,enter_signal,leverage', [
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