754 lines
31 KiB
Python
754 lines
31 KiB
Python
"""
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This module contains class to define a RPC communications
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"""
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import logging
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from abc import abstractmethod
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from datetime import date, datetime, timedelta
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from enum import Enum
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from math import isnan
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from typing import Any, Dict, List, Optional, Tuple, Union
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import arrow
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from numpy import NAN, int64, mean
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from pandas import DataFrame
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from freqtrade.configuration.timerange import TimeRange
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from freqtrade.constants import CANCEL_REASON, DATETIME_PRINT_FORMAT
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from freqtrade.data.history import load_data
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from freqtrade.exceptions import ExchangeError, PricingError
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
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from freqtrade.loggers import bufferHandler
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from freqtrade.misc import shorten_date
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from freqtrade.persistence import PairLocks, Trade
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from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
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from freqtrade.state import State
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from freqtrade.strategy.interface import SellType
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logger = logging.getLogger(__name__)
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class RPCMessageType(Enum):
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STATUS_NOTIFICATION = 'status'
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WARNING_NOTIFICATION = 'warning'
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STARTUP_NOTIFICATION = 'startup'
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BUY_NOTIFICATION = 'buy'
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BUY_CANCEL_NOTIFICATION = 'buy_cancel'
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SELL_NOTIFICATION = 'sell'
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SELL_CANCEL_NOTIFICATION = 'sell_cancel'
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def __repr__(self):
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return self.value
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def __str__(self):
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return self.value
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class RPCException(Exception):
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"""
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Should be raised with a rpc-formatted message in an _rpc_* method
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if the required state is wrong, i.e.:
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raise RPCException('*Status:* `no active trade`')
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"""
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def __init__(self, message: str) -> None:
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super().__init__(self)
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self.message = message
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def __str__(self):
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return self.message
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def __json__(self):
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return {
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'msg': self.message
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}
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class RPC:
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"""
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RPC class can be used to have extra feature, like bot data, and access to DB data
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"""
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# Bind _fiat_converter if needed in each RPC handler
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_fiat_converter: Optional[CryptoToFiatConverter] = None
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def __init__(self, freqtrade) -> None:
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"""
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Initializes all enabled rpc modules
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:param freqtrade: Instance of a freqtrade bot
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:return: None
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"""
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self._freqtrade = freqtrade
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@property
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def name(self) -> str:
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""" Returns the lowercase name of the implementation """
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return self.__class__.__name__.lower()
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@abstractmethod
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def cleanup(self) -> None:
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""" Cleanup pending module resources """
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@abstractmethod
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def send_msg(self, msg: Dict[str, str]) -> None:
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""" Sends a message to all registered rpc modules """
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@staticmethod
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def _rpc_show_config(config, botstate: State) -> Dict[str, Any]:
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"""
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Return a dict of config options.
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Explicitly does NOT return the full config to avoid leakage of sensitive
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information via rpc.
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"""
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val = {
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'dry_run': config['dry_run'],
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'stake_currency': config['stake_currency'],
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'stake_amount': config['stake_amount'],
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'max_open_trades': config['max_open_trades'],
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'minimal_roi': config['minimal_roi'].copy() if 'minimal_roi' in config else {},
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'stoploss': config.get('stoploss'),
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'trailing_stop': config.get('trailing_stop'),
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'trailing_stop_positive': config.get('trailing_stop_positive'),
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'trailing_stop_positive_offset': config.get('trailing_stop_positive_offset'),
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'trailing_only_offset_is_reached': config.get('trailing_only_offset_is_reached'),
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'timeframe': config.get('timeframe'),
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'timeframe_ms': timeframe_to_msecs(config['timeframe']
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) if 'timeframe' in config else '',
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'timeframe_min': timeframe_to_minutes(config['timeframe']
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) if 'timeframe' in config else '',
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'exchange': config['exchange']['name'],
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'strategy': config['strategy'],
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'forcebuy_enabled': config.get('forcebuy_enable', False),
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'ask_strategy': config.get('ask_strategy', {}),
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'bid_strategy': config.get('bid_strategy', {}),
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'state': str(botstate),
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'runmode': config['runmode'].value
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}
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return val
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def _rpc_trade_status(self) -> List[Dict[str, Any]]:
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"""
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Below follows the RPC backend it is prefixed with rpc_ to raise awareness that it is
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a remotely exposed function
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"""
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# Fetch open trade
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trades = Trade.get_open_trades()
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if not trades:
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raise RPCException('no active trade')
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else:
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results = []
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for trade in trades:
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order = None
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if trade.open_order_id:
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order = self._freqtrade.exchange.fetch_order(trade.open_order_id, trade.pair)
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# calculate profit and send message to user
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try:
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current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
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except (ExchangeError, PricingError):
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current_rate = NAN
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current_profit = trade.calc_profit_ratio(current_rate)
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current_profit_abs = trade.calc_profit(current_rate)
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# Calculate guaranteed profit (in case of trailing stop)
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stoploss_entry_dist = trade.calc_profit(trade.stop_loss)
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stoploss_entry_dist_ratio = trade.calc_profit_ratio(trade.stop_loss)
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# calculate distance to stoploss
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stoploss_current_dist = trade.stop_loss - current_rate
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stoploss_current_dist_ratio = stoploss_current_dist / current_rate
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trade_dict = trade.to_json()
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trade_dict.update(dict(
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base_currency=self._freqtrade.config['stake_currency'],
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close_profit=trade.close_profit if trade.close_profit is not None else None,
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current_rate=current_rate,
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current_profit=current_profit, # Deprectated
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current_profit_pct=round(current_profit * 100, 2), # Deprectated
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current_profit_abs=current_profit_abs, # Deprectated
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profit_ratio=current_profit,
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profit_pct=round(current_profit * 100, 2),
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profit_abs=current_profit_abs,
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stoploss_current_dist=stoploss_current_dist,
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stoploss_current_dist_ratio=round(stoploss_current_dist_ratio, 8),
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stoploss_current_dist_pct=round(stoploss_current_dist_ratio * 100, 2),
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stoploss_entry_dist=stoploss_entry_dist,
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stoploss_entry_dist_ratio=round(stoploss_entry_dist_ratio, 8),
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open_order='({} {} rem={:.8f})'.format(
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order['type'], order['side'], order['remaining']
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) if order else None,
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))
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results.append(trade_dict)
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return results
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def _rpc_status_table(self, stake_currency: str,
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fiat_display_currency: str) -> Tuple[List, List]:
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trades = Trade.get_open_trades()
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if not trades:
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raise RPCException('no active trade')
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else:
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trades_list = []
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for trade in trades:
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# calculate profit and send message to user
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try:
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current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
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except (PricingError, ExchangeError):
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current_rate = NAN
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trade_percent = (100 * trade.calc_profit_ratio(current_rate))
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trade_profit = trade.calc_profit(current_rate)
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profit_str = f'{trade_percent:.2f}%'
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if self._fiat_converter:
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fiat_profit = self._fiat_converter.convert_amount(
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trade_profit,
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stake_currency,
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fiat_display_currency
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)
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if fiat_profit and not isnan(fiat_profit):
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profit_str += f" ({fiat_profit:.2f})"
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trades_list.append([
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trade.id,
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trade.pair + ('*' if (trade.open_order_id is not None
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and trade.close_rate_requested is None) else '')
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+ ('**' if (trade.close_rate_requested is not None) else ''),
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shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
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profit_str
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])
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profitcol = "Profit"
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if self._fiat_converter:
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profitcol += " (" + fiat_display_currency + ")"
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columns = ['ID', 'Pair', 'Since', profitcol]
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return trades_list, columns
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def _rpc_daily_profit(
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self, timescale: int,
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stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
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today = datetime.utcnow().date()
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profit_days: Dict[date, Dict] = {}
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if not (isinstance(timescale, int) and timescale > 0):
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raise RPCException('timescale must be an integer greater than 0')
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for day in range(0, timescale):
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profitday = today - timedelta(days=day)
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trades = Trade.get_trades(trade_filter=[
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Trade.is_open.is_(False),
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Trade.close_date >= profitday,
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Trade.close_date < (profitday + timedelta(days=1))
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]).order_by(Trade.close_date).all()
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curdayprofit = sum(
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trade.close_profit_abs for trade in trades if trade.close_profit_abs is not None)
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profit_days[profitday] = {
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'amount': curdayprofit,
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'trades': len(trades)
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}
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data = [
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{
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'date': key,
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'abs_profit': value["amount"],
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'fiat_value': self._fiat_converter.convert_amount(
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value['amount'],
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stake_currency,
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fiat_display_currency
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) if self._fiat_converter else 0,
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'trade_count': value["trades"],
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}
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for key, value in profit_days.items()
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]
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return {
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'stake_currency': stake_currency,
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'fiat_display_currency': fiat_display_currency,
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'data': data
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}
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def _rpc_trade_history(self, limit: int) -> Dict:
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""" Returns the X last trades """
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if limit > 0:
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trades = Trade.get_trades([Trade.is_open.is_(False)]).order_by(
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Trade.id.desc()).limit(limit)
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else:
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trades = Trade.get_trades([Trade.is_open.is_(False)]).order_by(Trade.id.desc()).all()
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output = [trade.to_json() for trade in trades]
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return {
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"trades": output,
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"trades_count": len(output)
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}
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def _rpc_stats(self):
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trades = trades = Trade.get_trades([Trade.is_open.is_(False)])
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return trades
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def _rpc_trade_statistics(
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self, stake_currency: str, fiat_display_currency: str) -> Dict[str, Any]:
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""" Returns cumulative profit statistics """
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trades = Trade.get_trades().order_by(Trade.id).all()
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profit_all_coin = []
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profit_all_ratio = []
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profit_closed_coin = []
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profit_closed_ratio = []
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durations = []
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winning_trades = 0
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losing_trades = 0
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for trade in trades:
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current_rate: float = 0.0
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if not trade.open_rate:
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continue
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if trade.close_date:
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durations.append((trade.close_date - trade.open_date).total_seconds())
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if not trade.is_open:
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profit_ratio = trade.close_profit
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profit_closed_coin.append(trade.close_profit_abs)
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profit_closed_ratio.append(profit_ratio)
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if trade.close_profit >= 0:
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winning_trades += 1
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else:
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losing_trades += 1
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else:
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# Get current rate
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try:
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current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
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except (PricingError, ExchangeError):
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current_rate = NAN
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profit_ratio = trade.calc_profit_ratio(rate=current_rate)
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profit_all_coin.append(
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trade.calc_profit(rate=trade.close_rate or current_rate)
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)
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profit_all_ratio.append(profit_ratio)
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best_pair = Trade.get_best_pair()
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# Prepare data to display
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profit_closed_coin_sum = round(sum(profit_closed_coin), 8)
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profit_closed_ratio_mean = mean(profit_closed_ratio) if profit_closed_ratio else 0.0
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profit_closed_ratio_sum = sum(profit_closed_ratio) if profit_closed_ratio else 0.0
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profit_closed_fiat = self._fiat_converter.convert_amount(
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profit_closed_coin_sum,
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stake_currency,
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fiat_display_currency
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) if self._fiat_converter else 0
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profit_all_coin_sum = round(sum(profit_all_coin), 8)
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profit_all_ratio_mean = mean(profit_all_ratio) if profit_all_ratio else 0.0
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profit_all_ratio_sum = sum(profit_all_ratio) if profit_all_ratio else 0.0
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profit_all_fiat = self._fiat_converter.convert_amount(
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profit_all_coin_sum,
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stake_currency,
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fiat_display_currency
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) if self._fiat_converter else 0
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first_date = trades[0].open_date if trades else None
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last_date = trades[-1].open_date if trades else None
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num = float(len(durations) or 1)
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return {
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'profit_closed_coin': profit_closed_coin_sum,
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'profit_closed_percent': round(profit_closed_ratio_mean * 100, 2), # DEPRECATED
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'profit_closed_percent_mean': round(profit_closed_ratio_mean * 100, 2),
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'profit_closed_ratio_mean': profit_closed_ratio_mean,
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'profit_closed_percent_sum': round(profit_closed_ratio_sum * 100, 2),
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'profit_closed_ratio_sum': profit_closed_ratio_sum,
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'profit_closed_fiat': profit_closed_fiat,
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'profit_all_coin': profit_all_coin_sum,
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'profit_all_percent': round(profit_all_ratio_mean * 100, 2), # DEPRECATED
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'profit_all_percent_mean': round(profit_all_ratio_mean * 100, 2),
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'profit_all_ratio_mean': profit_all_ratio_mean,
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'profit_all_percent_sum': round(profit_all_ratio_sum * 100, 2),
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'profit_all_ratio_sum': profit_all_ratio_sum,
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'profit_all_fiat': profit_all_fiat,
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'trade_count': len(trades),
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'closed_trade_count': len([t for t in trades if not t.is_open]),
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'first_trade_date': arrow.get(first_date).humanize() if first_date else '',
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'first_trade_timestamp': int(first_date.timestamp() * 1000) if first_date else 0,
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'latest_trade_date': arrow.get(last_date).humanize() if last_date else '',
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'latest_trade_timestamp': int(last_date.timestamp() * 1000) if last_date else 0,
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'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
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'best_pair': best_pair[0] if best_pair else '',
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'best_rate': round(best_pair[1] * 100, 2) if best_pair else 0,
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'winning_trades': winning_trades,
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'losing_trades': losing_trades,
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}
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def _rpc_balance(self, stake_currency: str, fiat_display_currency: str) -> Dict:
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""" Returns current account balance per crypto """
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output = []
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total = 0.0
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try:
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tickers = self._freqtrade.exchange.get_tickers()
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except (ExchangeError):
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raise RPCException('Error getting current tickers.')
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self._freqtrade.wallets.update(require_update=False)
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for coin, balance in self._freqtrade.wallets.get_all_balances().items():
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if not balance.total:
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continue
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est_stake: float = 0
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if coin == stake_currency:
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rate = 1.0
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est_stake = balance.total
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else:
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try:
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pair = self._freqtrade.exchange.get_valid_pair_combination(coin, stake_currency)
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rate = tickers.get(pair, {}).get('bid', None)
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if rate:
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if pair.startswith(stake_currency):
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rate = 1.0 / rate
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est_stake = rate * balance.total
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except (ExchangeError):
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logger.warning(f" Could not get rate for pair {coin}.")
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continue
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total = total + (est_stake or 0)
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output.append({
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'currency': coin,
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'free': balance.free if balance.free is not None else 0,
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'balance': balance.total if balance.total is not None else 0,
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'used': balance.used if balance.used is not None else 0,
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'est_stake': est_stake or 0,
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'stake': stake_currency,
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})
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if total == 0.0:
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if self._freqtrade.config['dry_run']:
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raise RPCException('Running in Dry Run, balances are not available.')
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else:
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raise RPCException('All balances are zero.')
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symbol = fiat_display_currency
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value = self._fiat_converter.convert_amount(total, stake_currency,
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symbol) if self._fiat_converter else 0
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return {
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'currencies': output,
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'total': total,
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'symbol': symbol,
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'value': value,
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'stake': stake_currency,
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'note': 'Simulated balances' if self._freqtrade.config['dry_run'] else ''
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}
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def _rpc_start(self) -> Dict[str, str]:
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""" Handler for start """
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if self._freqtrade.state == State.RUNNING:
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return {'status': 'already running'}
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self._freqtrade.state = State.RUNNING
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return {'status': 'starting trader ...'}
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def _rpc_stop(self) -> Dict[str, str]:
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""" Handler for stop """
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if self._freqtrade.state == State.RUNNING:
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self._freqtrade.state = State.STOPPED
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return {'status': 'stopping trader ...'}
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return {'status': 'already stopped'}
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def _rpc_reload_config(self) -> Dict[str, str]:
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""" Handler for reload_config. """
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self._freqtrade.state = State.RELOAD_CONFIG
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return {'status': 'Reloading config ...'}
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def _rpc_stopbuy(self) -> Dict[str, str]:
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"""
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Handler to stop buying, but handle open trades gracefully.
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"""
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if self._freqtrade.state == State.RUNNING:
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# Set 'max_open_trades' to 0
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self._freqtrade.config['max_open_trades'] = 0
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return {'status': 'No more buy will occur from now. Run /reload_config to reset.'}
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def _rpc_forcesell(self, trade_id: str) -> Dict[str, str]:
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"""
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Handler for forcesell <id>.
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Sells the given trade at current price
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"""
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def _exec_forcesell(trade: Trade) -> None:
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# Check if there is there is an open order
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fully_canceled = False
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if trade.open_order_id:
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order = self._freqtrade.exchange.fetch_order(trade.open_order_id, trade.pair)
|
|
|
|
if order['side'] == 'buy':
|
|
fully_canceled = self._freqtrade.handle_cancel_buy(
|
|
trade, order, CANCEL_REASON['FORCE_SELL'])
|
|
|
|
if order['side'] == 'sell':
|
|
# Cancel order - so it is placed anew with a fresh price.
|
|
self._freqtrade.handle_cancel_sell(trade, order, CANCEL_REASON['FORCE_SELL'])
|
|
|
|
if not fully_canceled:
|
|
# Get current rate and execute sell
|
|
current_rate = self._freqtrade.get_sell_rate(trade.pair, False)
|
|
self._freqtrade.execute_sell(trade, current_rate, SellType.FORCE_SELL)
|
|
# ---- EOF def _exec_forcesell ----
|
|
|
|
if self._freqtrade.state != State.RUNNING:
|
|
raise RPCException('trader is not running')
|
|
|
|
with self._freqtrade._sell_lock:
|
|
if trade_id == 'all':
|
|
# Execute sell for all open orders
|
|
for trade in Trade.get_open_trades():
|
|
_exec_forcesell(trade)
|
|
Trade.session.flush()
|
|
self._freqtrade.wallets.update()
|
|
return {'result': 'Created sell orders for all open trades.'}
|
|
|
|
# Query for trade
|
|
trade = Trade.get_trades(
|
|
trade_filter=[Trade.id == trade_id, Trade.is_open.is_(True), ]
|
|
).first()
|
|
if not trade:
|
|
logger.warning('forcesell: Invalid argument received')
|
|
raise RPCException('invalid argument')
|
|
|
|
_exec_forcesell(trade)
|
|
Trade.session.flush()
|
|
self._freqtrade.wallets.update()
|
|
return {'result': f'Created sell order for trade {trade_id}.'}
|
|
|
|
def _rpc_forcebuy(self, pair: str, price: Optional[float]) -> Optional[Trade]:
|
|
"""
|
|
Handler for forcebuy <asset> <price>
|
|
Buys a pair trade at the given or current price
|
|
"""
|
|
|
|
if not self._freqtrade.config.get('forcebuy_enable', False):
|
|
raise RPCException('Forcebuy not enabled.')
|
|
|
|
if self._freqtrade.state != State.RUNNING:
|
|
raise RPCException('trader is not running')
|
|
|
|
# Check if pair quote currency equals to the stake currency.
|
|
stake_currency = self._freqtrade.config.get('stake_currency')
|
|
if not self._freqtrade.exchange.get_pair_quote_currency(pair) == stake_currency:
|
|
raise RPCException(
|
|
f'Wrong pair selected. Only pairs with stake-currency {stake_currency} allowed.')
|
|
# check if valid pair
|
|
|
|
# check if pair already has an open pair
|
|
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
|
|
if trade:
|
|
raise RPCException(f'position for {pair} already open - id: {trade.id}')
|
|
|
|
# gen stake amount
|
|
stakeamount = self._freqtrade.get_trade_stake_amount(pair)
|
|
|
|
# execute buy
|
|
if self._freqtrade.execute_buy(pair, stakeamount, price):
|
|
trade = Trade.get_trades([Trade.is_open.is_(True), Trade.pair == pair]).first()
|
|
return trade
|
|
else:
|
|
return None
|
|
|
|
def _rpc_delete(self, trade_id: int) -> Dict[str, Union[str, int]]:
|
|
"""
|
|
Handler for delete <id>.
|
|
Delete the given trade and close eventually existing open orders.
|
|
"""
|
|
with self._freqtrade._sell_lock:
|
|
c_count = 0
|
|
trade = Trade.get_trades(trade_filter=[Trade.id == trade_id]).first()
|
|
if not trade:
|
|
logger.warning('delete trade: Invalid argument received')
|
|
raise RPCException('invalid argument')
|
|
|
|
# Try cancelling regular order if that exists
|
|
if trade.open_order_id:
|
|
try:
|
|
self._freqtrade.exchange.cancel_order(trade.open_order_id, trade.pair)
|
|
c_count += 1
|
|
except (ExchangeError):
|
|
pass
|
|
|
|
# cancel stoploss on exchange ...
|
|
if (self._freqtrade.strategy.order_types.get('stoploss_on_exchange')
|
|
and trade.stoploss_order_id):
|
|
try:
|
|
self._freqtrade.exchange.cancel_stoploss_order(trade.stoploss_order_id,
|
|
trade.pair)
|
|
c_count += 1
|
|
except (ExchangeError):
|
|
pass
|
|
|
|
trade.delete()
|
|
self._freqtrade.wallets.update()
|
|
return {
|
|
'result': 'success',
|
|
'trade_id': trade_id,
|
|
'result_msg': f'Deleted trade {trade_id}. Closed {c_count} open orders.',
|
|
'cancel_order_count': c_count,
|
|
}
|
|
|
|
def _rpc_performance(self) -> List[Dict[str, Any]]:
|
|
"""
|
|
Handler for performance.
|
|
Shows a performance statistic from finished trades
|
|
"""
|
|
pair_rates = Trade.get_overall_performance()
|
|
# Round and convert to %
|
|
[x.update({'profit': round(x['profit'] * 100, 2)}) for x in pair_rates]
|
|
return pair_rates
|
|
|
|
def _rpc_count(self) -> Dict[str, float]:
|
|
""" Returns the number of trades running """
|
|
if self._freqtrade.state != State.RUNNING:
|
|
raise RPCException('trader is not running')
|
|
|
|
trades = Trade.get_open_trades()
|
|
return {
|
|
'current': len(trades),
|
|
'max': float(self._freqtrade.config['max_open_trades']),
|
|
'total_stake': sum((trade.open_rate * trade.amount) for trade in trades)
|
|
}
|
|
|
|
def _rpc_locks(self) -> Dict[str, Any]:
|
|
""" Returns the current locks"""
|
|
|
|
locks = PairLocks.get_pair_locks(None)
|
|
return {
|
|
'lock_count': len(locks),
|
|
'locks': [lock.to_json() for lock in locks]
|
|
}
|
|
|
|
def _rpc_whitelist(self) -> Dict:
|
|
""" Returns the currently active whitelist"""
|
|
res = {'method': self._freqtrade.pairlists.name_list,
|
|
'length': len(self._freqtrade.active_pair_whitelist),
|
|
'whitelist': self._freqtrade.active_pair_whitelist
|
|
}
|
|
return res
|
|
|
|
def _rpc_blacklist(self, add: List[str] = None) -> Dict:
|
|
""" Returns the currently active blacklist"""
|
|
errors = {}
|
|
if add:
|
|
stake_currency = self._freqtrade.config.get('stake_currency')
|
|
for pair in add:
|
|
if self._freqtrade.exchange.get_pair_quote_currency(pair) == stake_currency:
|
|
if pair not in self._freqtrade.pairlists.blacklist:
|
|
self._freqtrade.pairlists.blacklist.append(pair)
|
|
else:
|
|
errors[pair] = {
|
|
'error_msg': f'Pair {pair} already in pairlist.'}
|
|
|
|
else:
|
|
errors[pair] = {
|
|
'error_msg': f"Pair {pair} does not match stake currency."
|
|
}
|
|
|
|
res = {'method': self._freqtrade.pairlists.name_list,
|
|
'length': len(self._freqtrade.pairlists.blacklist),
|
|
'blacklist': self._freqtrade.pairlists.blacklist,
|
|
'errors': errors,
|
|
}
|
|
return res
|
|
|
|
def _rpc_get_logs(self, limit: Optional[int]) -> Dict[str, Any]:
|
|
"""Returns the last X logs"""
|
|
if limit:
|
|
buffer = bufferHandler.buffer[-limit:]
|
|
else:
|
|
buffer = bufferHandler.buffer
|
|
records = [[datetime.fromtimestamp(r.created).strftime(DATETIME_PRINT_FORMAT),
|
|
r.created * 1000, r.name, r.levelname,
|
|
r.message + ('\n' + r.exc_text if r.exc_text else '')]
|
|
for r in buffer]
|
|
|
|
# Log format:
|
|
# [logtime-formatted, logepoch, logger-name, loglevel, message \n + exception]
|
|
# e.g. ["2020-08-27 11:35:01", 1598520901097.9397,
|
|
# "freqtrade.worker", "INFO", "Starting worker develop"]
|
|
|
|
return {'log_count': len(records), 'logs': records}
|
|
|
|
def _rpc_edge(self) -> List[Dict[str, Any]]:
|
|
""" Returns information related to Edge """
|
|
if not self._freqtrade.edge:
|
|
raise RPCException('Edge is not enabled.')
|
|
return self._freqtrade.edge.accepted_pairs()
|
|
|
|
@staticmethod
|
|
def _convert_dataframe_to_dict(strategy: str, pair: str, timeframe: str, dataframe: DataFrame,
|
|
last_analyzed: datetime) -> Dict[str, Any]:
|
|
has_content = len(dataframe) != 0
|
|
buy_signals = 0
|
|
sell_signals = 0
|
|
if has_content:
|
|
|
|
dataframe.loc[:, '__date_ts'] = dataframe.loc[:, 'date'].astype(int64) // 1000 // 1000
|
|
# Move open to seperate column when signal for easy plotting
|
|
if 'buy' in dataframe.columns:
|
|
buy_mask = (dataframe['buy'] == 1)
|
|
buy_signals = int(buy_mask.sum())
|
|
dataframe.loc[buy_mask, '_buy_signal_open'] = dataframe.loc[buy_mask, 'open']
|
|
if 'sell' in dataframe.columns:
|
|
sell_mask = (dataframe['sell'] == 1)
|
|
sell_signals = int(sell_mask.sum())
|
|
dataframe.loc[sell_mask, '_sell_signal_open'] = dataframe.loc[sell_mask, 'open']
|
|
dataframe = dataframe.replace({NAN: None})
|
|
|
|
res = {
|
|
'pair': pair,
|
|
'timeframe': timeframe,
|
|
'timeframe_ms': timeframe_to_msecs(timeframe),
|
|
'strategy': strategy,
|
|
'columns': list(dataframe.columns),
|
|
'data': dataframe.values.tolist(),
|
|
'length': len(dataframe),
|
|
'buy_signals': buy_signals,
|
|
'sell_signals': sell_signals,
|
|
'last_analyzed': last_analyzed,
|
|
'last_analyzed_ts': int(last_analyzed.timestamp()),
|
|
'data_start': '',
|
|
'data_start_ts': 0,
|
|
'data_stop': '',
|
|
'data_stop_ts': 0,
|
|
}
|
|
if has_content:
|
|
res.update({
|
|
'data_start': str(dataframe.iloc[0]['date']),
|
|
'data_start_ts': int(dataframe.iloc[0]['__date_ts']),
|
|
'data_stop': str(dataframe.iloc[-1]['date']),
|
|
'data_stop_ts': int(dataframe.iloc[-1]['__date_ts']),
|
|
})
|
|
return res
|
|
|
|
def _rpc_analysed_dataframe(self, pair: str, timeframe: str, limit: int) -> Dict[str, Any]:
|
|
|
|
_data, last_analyzed = self._freqtrade.dataprovider.get_analyzed_dataframe(
|
|
pair, timeframe)
|
|
_data = _data.copy()
|
|
if limit:
|
|
_data = _data.iloc[-limit:]
|
|
return self._convert_dataframe_to_dict(self._freqtrade.config['strategy'],
|
|
pair, timeframe, _data, last_analyzed)
|
|
|
|
@staticmethod
|
|
def _rpc_analysed_history_full(config, pair: str, timeframe: str,
|
|
timerange: str) -> Dict[str, Any]:
|
|
timerange_parsed = TimeRange.parse_timerange(timerange)
|
|
|
|
_data = load_data(
|
|
datadir=config.get("datadir"),
|
|
pairs=[pair],
|
|
timeframe=timeframe,
|
|
timerange=timerange_parsed,
|
|
data_format=config.get('dataformat_ohlcv', 'json'),
|
|
)
|
|
from freqtrade.resolvers.strategy_resolver import StrategyResolver
|
|
strategy = StrategyResolver.load_strategy(config)
|
|
df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair})
|
|
|
|
return RPC._convert_dataframe_to_dict(strategy.get_strategy_name(), pair, timeframe,
|
|
df_analyzed, arrow.Arrow.utcnow().datetime)
|
|
|
|
def _rpc_plot_config(self) -> Dict[str, Any]:
|
|
|
|
return self._freqtrade.strategy.plot_config
|