382 lines
15 KiB
Python
382 lines
15 KiB
Python
"""
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This module contains class to define a RPC communications
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"""
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from decimal import Decimal
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from datetime import datetime, timedelta
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import arrow
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from pandas import DataFrame
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import sqlalchemy as sql
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from freqtrade.logger import Logger
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from freqtrade.persistence import Trade
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from freqtrade.state import State
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from freqtrade import exchange
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from freqtrade.misc import shorten_date
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class RPC(object):
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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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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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self.logger = Logger(
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name=__name__,
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level=self.freqtrade.config.get('loglevel')
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).get_logger()
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def rpc_trade_status(self) -> (bool, Trade):
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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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:return:
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"""
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# Fetch open trade
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trades = Trade.query.filter(Trade.is_open.is_(True)).all()
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if self.freqtrade.get_state() != State.RUNNING:
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return (True, '*Status:* `trader is not running`')
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elif not trades:
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return (True, '*Status:* `no active trade`')
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else:
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result = []
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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 = exchange.get_order(trade.open_order_id)
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# calculate profit and send message to user
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current_rate = exchange.get_ticker(trade.pair, False)['bid']
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current_profit = trade.calc_profit_percent(current_rate)
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fmt_close_profit = '{:.2f}%'.format(
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round(trade.close_profit * 100, 2)
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) if trade.close_profit else None
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message = "*Trade ID:* `{trade_id}`\n" \
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"*Current Pair:* [{pair}]({market_url})\n" \
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"*Open Since:* `{date}`\n" \
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"*Amount:* `{amount}`\n" \
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"*Open Rate:* `{open_rate:.8f}`\n" \
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"*Close Rate:* `{close_rate}`\n" \
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"*Current Rate:* `{current_rate:.8f}`\n" \
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"*Close Profit:* `{close_profit}`\n" \
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"*Current Profit:* `{current_profit:.2f}%`\n" \
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"*Open Order:* `{open_order}`"\
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.format(
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trade_id=trade.id,
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pair=trade.pair,
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market_url=exchange.get_pair_detail_url(trade.pair),
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date=arrow.get(trade.open_date).humanize(),
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open_rate=trade.open_rate,
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close_rate=trade.close_rate,
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current_rate=current_rate,
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amount=round(trade.amount, 8),
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close_profit=fmt_close_profit,
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current_profit=round(current_profit * 100, 2),
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open_order='({} rem={:.8f})'.format(
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order['type'], order['remaining']
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) if order else None,
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)
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result.append(message)
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return (False, result)
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def rpc_status_table(self) -> (bool, DataFrame):
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trades = Trade.query.filter(Trade.is_open.is_(True)).all()
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if self.freqtrade.get_state() != State.RUNNING:
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return (True, '*Status:* `trader is not running`')
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elif not trades:
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return (True, '*Status:* `no active order`')
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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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current_rate = exchange.get_ticker(trade.pair, False)['bid']
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trades_list.append([
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trade.id,
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trade.pair,
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shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
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'{:.2f}%'.format(100 * trade.calc_profit_percent(current_rate))
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])
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columns = ['ID', 'Pair', 'Since', 'Profit']
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df_statuses = DataFrame.from_records(trades_list, columns=columns)
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df_statuses = df_statuses.set_index(columns[0])
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# The style used throughout is to return a tuple
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# consisting of (error_occured?, result)
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# Another approach would be to just return the
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# result, or raise error
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return (False, df_statuses)
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def rpc_daily_profit(self, timescale, stake_currency, fiat_display_currency):
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today = datetime.utcnow().date()
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profit_days = {}
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if not (isinstance(timescale, int) and timescale > 0):
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return (True, '*Daily [n]:* `must be an integer greater than 0`')
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fiat = self.freqtrade.fiat_converter
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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.query \
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.filter(Trade.is_open.is_(False)) \
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.filter(Trade.close_date >= profitday)\
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.filter(Trade.close_date < (profitday + timedelta(days=1)))\
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.order_by(Trade.close_date)\
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.all()
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curdayprofit = sum(trade.calc_profit() for trade in trades)
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profit_days[profitday] = {
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'amount': format(curdayprofit, '.8f'),
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'trades': len(trades)
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}
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stats = [
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[
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key,
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'{value:.8f} {symbol}'.format(
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value=float(value['amount']),
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symbol=stake_currency
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),
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'{value:.3f} {symbol}'.format(
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value=fiat.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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),
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symbol=fiat_display_currency
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),
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'{value} trade{s}'.format(
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value=value['trades'],
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s='' if value['trades'] < 2 else 's'
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),
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]
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for key, value in profit_days.items()
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]
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return (False, stats)
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def rpc_trade_statistics(self, stake_currency, fiat_display_currency) -> None:
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"""
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:return: cumulative profit statistics.
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"""
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trades = Trade.query.order_by(Trade.id).all()
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profit_all_coin = []
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profit_all_percent = []
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profit_closed_coin = []
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profit_closed_percent = []
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durations = []
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for trade in trades:
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current_rate = None
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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_percent = trade.calc_profit_percent()
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profit_closed_coin.append(trade.calc_profit())
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profit_closed_percent.append(profit_percent)
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else:
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# Get current rate
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current_rate = exchange.get_ticker(trade.pair, False)['bid']
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profit_percent = trade.calc_profit_percent(rate=current_rate)
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profit_all_coin.append(
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trade.calc_profit(rate=Decimal(trade.close_rate or current_rate))
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)
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profit_all_percent.append(profit_percent)
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best_pair = Trade.session.query(
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Trade.pair,
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sql.func.sum(Trade.close_profit).label('profit_sum')
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)\
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.filter(Trade.is_open.is_(False))\
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.group_by(Trade.pair)\
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.order_by(sql.text('profit_sum DESC')).first()
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if not best_pair:
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return (True, '*Status:* `no closed trade`')
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bp_pair, bp_rate = best_pair
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# FIX: we want to keep fiatconverter in a state/environment,
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# doing this will utilize its caching functionallity, instead we reinitialize it here
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fiat = self.freqtrade.fiat_converter
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# Prepare data to display
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profit_closed_coin = round(sum(profit_closed_coin), 8)
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profit_closed_percent = round(sum(profit_closed_percent) * 100, 2)
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profit_closed_fiat = fiat.convert_amount(
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profit_closed_coin,
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stake_currency,
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fiat_display_currency
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)
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profit_all_coin = round(sum(profit_all_coin), 8)
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profit_all_percent = round(sum(profit_all_percent) * 100, 2)
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profit_all_fiat = fiat.convert_amount(
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profit_all_coin,
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stake_currency,
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fiat_display_currency
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)
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num = float(len(durations) or 1)
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return (
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False,
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{
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'profit_closed_coin': profit_closed_coin,
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'profit_closed_percent': profit_closed_percent,
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'profit_closed_fiat': profit_closed_fiat,
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'profit_all_coin': profit_all_coin,
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'profit_all_percent': profit_all_percent,
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'profit_all_fiat': profit_all_fiat,
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'trade_count': len(trades),
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'first_trade_date': arrow.get(trades[0].open_date).humanize(),
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'latest_trade_date': arrow.get(trades[-1].open_date).humanize(),
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'avg_duration': str(timedelta(seconds=sum(durations) / num)).split('.')[0],
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'best_pair': bp_pair,
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'best_rate': round(bp_rate * 100, 2)
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}
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)
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def rpc_balance(self, fiat_display_currency):
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"""
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:return: current account balance per crypto
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"""
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balances = [
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c for c in exchange.get_balances()
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if c['Balance'] or c['Available'] or c['Pending']
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]
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if not balances:
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return (True, '`All balances are zero.`')
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output = []
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total = 0.0
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for currency in balances:
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coin = currency['Currency']
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if coin == 'BTC':
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currency["Rate"] = 1.0
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else:
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if coin == 'USDT':
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currency["Rate"] = 1.0 / exchange.get_ticker('USDT_BTC', False)['bid']
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else:
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currency["Rate"] = exchange.get_ticker('BTC_' + coin, False)['bid']
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currency['BTC'] = currency["Rate"] * currency["Balance"]
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total = total + currency['BTC']
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output.append(
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{
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'currency': currency['Currency'],
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'available': currency['Available'],
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'balance': currency['Balance'],
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'pending': currency['Pending'],
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'est_btc': currency['BTC']
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}
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)
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fiat = self.freqtrade.fiat_converter
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symbol = fiat_display_currency
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value = fiat.convert_amount(total, 'BTC', symbol)
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return (False, (output, total, symbol, value))
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def rpc_start(self) -> (bool, str):
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"""
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Handler for start.
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"""
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if self.freqtrade.get_state() == State.RUNNING:
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return (True, '*Status:* `already running`')
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self.freqtrade.update_state(State.RUNNING)
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return (False, '`Starting trader ...`')
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def rpc_stop(self) -> (bool, str):
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"""
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Handler for stop.
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"""
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if self.freqtrade.get_state() == State.RUNNING:
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self.freqtrade.update_state(State.STOPPED)
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return (False, '`Stopping trader ...`')
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return (True, '*Status:* `already stopped`')
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# FIX: no test for this!!!!
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def rpc_forcesell(self, trade_id) -> None:
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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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:return: error or None
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"""
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def _exec_forcesell(trade: Trade) -> str:
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# Check if there is there is an open order
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if trade.open_order_id:
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order = exchange.get_order(trade.open_order_id)
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# Cancel open LIMIT_BUY orders and close trade
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if order and not order['closed'] and order['type'] == 'LIMIT_BUY':
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exchange.cancel_order(trade.open_order_id)
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trade.close(order.get('rate') or trade.open_rate)
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# TODO: sell amount which has been bought already
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return
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# Ignore trades with an attached LIMIT_SELL order
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if order and not order['closed'] and order['type'] == 'LIMIT_SELL':
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return
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# Get current rate and execute sell
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current_rate = exchange.get_ticker(trade.pair, False)['bid']
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self.freqtrade.execute_sell(trade, current_rate)
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# ---- EOF def _exec_forcesell ----
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if self.freqtrade.get_state() != State.RUNNING:
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return (True, '`trader is not running`')
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if trade_id == 'all':
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# Execute sell for all open orders
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for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
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_exec_forcesell(trade)
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return (False, '')
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# Query for trade
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trade = Trade.query.filter(
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sql.and_(
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Trade.id == trade_id,
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Trade.is_open.is_(True)
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)
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).first()
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if not trade:
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self.logger.warning('forcesell: Invalid argument received')
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return (True, 'Invalid argument.')
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_exec_forcesell(trade)
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return (False, '')
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def rpc_performance(self) -> None:
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"""
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Handler for performance.
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Shows a performance statistic from finished trades
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"""
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if self.freqtrade.get_state() != State.RUNNING:
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return (True, '`trader is not running`')
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pair_rates = Trade.session.query(Trade.pair,
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sql.func.sum(Trade.close_profit).label('profit_sum'),
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sql.func.count(Trade.pair).label('count')) \
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.filter(Trade.is_open.is_(False)) \
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.group_by(Trade.pair) \
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.order_by(sql.text('profit_sum DESC')) \
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.all()
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trades = []
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for (pair, rate, count) in pair_rates:
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trades.append({'pair': pair, 'profit': round(rate * 100, 2), 'count': count})
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return (False, trades)
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def rpc_count(self) -> None:
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"""
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Returns the number of trades running
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:return: None
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"""
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if self.freqtrade.get_state() != State.RUNNING:
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return (True, '`trader is not running`')
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trades = Trade.query.filter(Trade.is_open.is_(True)).all()
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return (False, trades)
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