stable/freqtrade/rpc/__init__.py

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import logging
import re
import arrow
from decimal import Decimal
from datetime import datetime, timedelta
from pandas import DataFrame
import sqlalchemy as sql
# from sqlalchemy import and_, func, text
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from freqtrade.persistence import Trade
from freqtrade.misc import State, get_state, update_state
from freqtrade import exchange
from freqtrade.fiat_convert import CryptoToFiatConverter
from . import telegram
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logger = logging.getLogger(__name__)
_FIAT_CONVERT = CryptoToFiatConverter()
REGISTERED_MODULES = []
def init(config: dict) -> None:
"""
Initializes all enabled rpc modules
:param config: config to use
:return: None
"""
if config['telegram'].get('enabled', False):
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logger.info('Enabling rpc.telegram ...')
REGISTERED_MODULES.append('telegram')
telegram.init(config)
def cleanup() -> None:
"""
Stops all enabled rpc modules
:return: None
"""
if 'telegram' in REGISTERED_MODULES:
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logger.debug('Cleaning up rpc.telegram ...')
telegram.cleanup()
def send_msg(msg: str) -> None:
"""
Send given markdown message to all registered rpc modules
:param msg: message
:return: None
"""
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logger.info(msg)
if 'telegram' in REGISTERED_MODULES:
telegram.send_msg(msg)
def shorten_date(_date):
"""
Trim the date so it fits on small screens
"""
new_date = re.sub('seconds?', 'sec', _date)
new_date = re.sub('minutes?', 'min', new_date)
new_date = re.sub('hours?', 'h', new_date)
new_date = re.sub('days?', 'd', new_date)
new_date = re.sub('^an?', '1', new_date)
return new_date
#
# Below follows the RPC backend
# it is prefixed with rpc_
# to raise awareness that it is
# a remotely exposed function
def rpc_trade_status():
# Fetch open trade
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
if get_state() != State.RUNNING:
return (True, '*Status:* `trader is not running`')
elif not trades:
return (True, '*Status:* `no active trade`')
else:
result = []
for trade in trades:
order = None
if trade.open_order_id:
order = exchange.get_order(trade.open_order_id)
# calculate profit and send message to user
current_rate = exchange.get_ticker(trade.pair, False)['bid']
current_profit = trade.calc_profit_percent(current_rate)
fmt_close_profit = '{:.2f}%'.format(
round(trade.close_profit * 100, 2)
) if trade.close_profit else None
message = """
*Trade ID:* `{trade_id}`
*Current Pair:* [{pair}]({market_url})
*Open Since:* `{date}`
*Amount:* `{amount}`
*Open Rate:* `{open_rate:.8f}`
*Close Rate:* `{close_rate}`
*Current Rate:* `{current_rate:.8f}`
*Close Profit:* `{close_profit}`
*Current Profit:* `{current_profit:.2f}%`
*Open Order:* `{open_order}`
""".format(
trade_id=trade.id,
pair=trade.pair,
market_url=exchange.get_pair_detail_url(trade.pair),
date=arrow.get(trade.open_date).humanize(),
open_rate=trade.open_rate,
close_rate=trade.close_rate,
current_rate=current_rate,
amount=round(trade.amount, 8),
close_profit=fmt_close_profit,
current_profit=round(current_profit * 100, 2),
open_order='({} rem={:.8f})'.format(
order['type'], order['remaining']
) if order else None,
)
result.append(message)
return (False, result)
def rpc_status_table():
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
if get_state() != State.RUNNING:
return (True, '*Status:* `trader is not running`')
elif not trades:
return (True, '*Status:* `no active order`')
else:
trades_list = []
for trade in trades:
# calculate profit and send message to user
current_rate = exchange.get_ticker(trade.pair, False)['bid']
trades_list.append([
trade.id,
trade.pair,
shorten_date(arrow.get(trade.open_date).humanize(only_distance=True)),
'{:.2f}%'.format(100 * trade.calc_profit_percent(current_rate))
])
columns = ['ID', 'Pair', 'Since', 'Profit']
df_statuses = DataFrame.from_records(trades_list, columns=columns)
df_statuses = df_statuses.set_index(columns[0])
# The style used throughout is to return a tuple
# consisting of (error_occured?, result)
# Another approach would be to just return the
# result, or raise error
return (False, df_statuses)
def rpc_daily_profit(timescale, stake_currency, fiat_display_currency):
today = datetime.utcnow().date()
profit_days = {}
if not (isinstance(timescale, int) and timescale > 0):
return (True, '*Daily [n]:* `must be an integer greater than 0`')
fiat = _FIAT_CONVERT
for day in range(0, timescale):
profitday = today - timedelta(days=day)
trades = Trade.query \
.filter(Trade.is_open.is_(False)) \
.filter(Trade.close_date >= profitday)\
.filter(Trade.close_date < (profitday + timedelta(days=1)))\
.order_by(Trade.close_date)\
.all()
curdayprofit = sum(trade.calc_profit() for trade in trades)
profit_days[profitday] = {
'amount': format(curdayprofit, '.8f'),
'trades': len(trades)
}
stats = [
[
key,
'{value:.8f} {symbol}'.format(
value=float(value['amount']),
symbol=stake_currency
),
'{value:.3f} {symbol}'.format(
value=fiat.convert_amount(
value['amount'],
stake_currency,
fiat_display_currency
),
symbol=fiat_display_currency
),
'{value} trade{s}'.format(value=value['trades'], s='' if value['trades'] < 2 else 's'),
]
for key, value in profit_days.items()
]
return (False, stats)
def rpc_trade_statistics(stake_currency, fiat_display_currency) -> None:
"""
:return: cumulative profit statistics.
"""
trades = Trade.query.order_by(Trade.id).all()
profit_all_coin = []
profit_all_percent = []
profit_closed_coin = []
profit_closed_percent = []
durations = []
for trade in trades:
current_rate = None
if not trade.open_rate:
continue
if trade.close_date:
durations.append((trade.close_date - trade.open_date).total_seconds())
if not trade.is_open:
profit_percent = trade.calc_profit_percent()
profit_closed_coin.append(trade.calc_profit())
profit_closed_percent.append(profit_percent)
else:
# Get current rate
current_rate = exchange.get_ticker(trade.pair, False)['bid']
profit_percent = trade.calc_profit_percent(rate=current_rate)
profit_all_coin.append(trade.calc_profit(rate=Decimal(trade.close_rate or current_rate)))
profit_all_percent.append(profit_percent)
best_pair = Trade.session.query(Trade.pair,
sql.func.sum(Trade.close_profit).label('profit_sum')) \
.filter(Trade.is_open.is_(False)) \
.group_by(Trade.pair) \
.order_by(sql.text('profit_sum DESC')) \
.first()
if not best_pair:
return (True, '*Status:* `no closed trade`')
bp_pair, bp_rate = best_pair
# FIX: we want to keep fiatconverter in a state/environment,
# doing this will utilize its caching functionallity, instead we reinitialize it here
fiat = _FIAT_CONVERT
# Prepare data to display
profit_closed_coin = round(sum(profit_closed_coin), 8)
profit_closed_percent = round(sum(profit_closed_percent) * 100, 2)
profit_closed_fiat = fiat.convert_amount(
profit_closed_coin,
stake_currency,
fiat_display_currency
)
profit_all_coin = round(sum(profit_all_coin), 8)
profit_all_percent = round(sum(profit_all_percent) * 100, 2)
profit_all_fiat = fiat.convert_amount(
profit_all_coin,
stake_currency,
fiat_display_currency
)
num = float(len(durations) or 1)
return (False,
{'profit_closed_coin': profit_closed_coin,
'profit_closed_percent': profit_closed_percent,
'profit_closed_fiat': profit_closed_fiat,
'profit_all_coin': profit_all_coin,
'profit_all_percent': profit_all_percent,
'profit_all_fiat': profit_all_fiat,
'trade_count': len(trades),
'first_trade_date': arrow.get(trades[0].open_date).humanize(),
'latest_trade_date': arrow.get(trades[-1].open_date).humanize(),
'avg_duration': str(timedelta(seconds=sum(durations) /
num)).split('.')[0],
'best_pair': bp_pair,
'best_rate': round(bp_rate * 100, 2)
})
def rpc_balance(fiat_display_currency):
"""
:return: current account balance per crypto
"""
balances = [
c for c in exchange.get_balances()
if c['Balance'] or c['Available'] or c['Pending']
]
if not balances:
return (True, '`All balances are zero.`')
output = []
total = 0.0
for currency in balances:
coin = currency['Currency']
if coin == 'BTC':
currency["Rate"] = 1.0
else:
if coin == 'USDT':
currency["Rate"] = 1.0 / exchange.get_ticker('USDT_BTC', False)['bid']
else:
currency["Rate"] = exchange.get_ticker('BTC_' + coin, False)['bid']
currency['BTC'] = currency["Rate"] * currency["Balance"]
total = total + currency['BTC']
output.append({'currency': currency['Currency'],
'available': currency['Available'],
'balance': currency['Balance'],
'pending': currency['Pending'],
'est_btc': currency['BTC']
})
fiat = _FIAT_CONVERT
symbol = fiat_display_currency
value = fiat.convert_amount(total, 'BTC', symbol)
return (False, (output, total, symbol, value))
def rpc_start():
"""
Handler for start.
"""
if get_state() == State.RUNNING:
return (True, '*Status:* `already running`')
else:
update_state(State.RUNNING)
def rpc_stop():
"""
Handler for stop.
"""
if get_state() == State.RUNNING:
update_state(State.STOPPED)
return (False, '`Stopping trader ...`')
else:
return (True, '*Status:* `already stopped`')
# FIX: no test for this!!!!
def rpc_forcesell(trade_id) -> None:
"""
Handler for forcesell <id>.
Sells the given trade at current price
:return: error or None
"""
def _exec_forcesell(trade: Trade) -> str:
# Check if there is there is an open order
if trade.open_order_id:
order = exchange.get_order(trade.open_order_id)
# Cancel open LIMIT_BUY orders and close trade
if order and not order['closed'] and order['type'] == 'LIMIT_BUY':
exchange.cancel_order(trade.open_order_id)
trade.close(order.get('rate') or trade.open_rate)
# TODO: sell amount which has been bought already
return
# Ignore trades with an attached LIMIT_SELL order
if order and not order['closed'] and order['type'] == 'LIMIT_SELL':
return
# Get current rate and execute sell
current_rate = exchange.get_ticker(trade.pair, False)['bid']
from freqtrade.main import execute_sell
execute_sell(trade, current_rate)
# ---- EOF def _exec_forcesell ----
if get_state() != State.RUNNING:
return (True, '`trader is not running`')
if trade_id == 'all':
# Execute sell for all open orders
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
_exec_forcesell(trade)
return (False, '')
# Query for trade
trade = Trade.query.filter(sql.and_(
Trade.id == trade_id,
Trade.is_open.is_(True)
)).first()
if not trade:
logger.warning('forcesell: Invalid argument received')
return (True, 'Invalid argument.')
_exec_forcesell(trade)
return (False, '')
def rpc_performance() -> None:
"""
Handler for performance.
Shows a performance statistic from finished trades
"""
if get_state() != State.RUNNING:
return (True, '`trader is not running`')
pair_rates = Trade.session.query(Trade.pair,
sql.func.sum(Trade.close_profit).label('profit_sum'),
sql.func.count(Trade.pair).label('count')) \
.filter(Trade.is_open.is_(False)) \
.group_by(Trade.pair) \
.order_by(sql.text('profit_sum DESC')) \
.all()
trades = []
for (pair, rate, count) in pair_rates:
trades.append({'pair': pair, 'profit': round(rate * 100, 2), 'count': count})
return (False, trades)
def rpc_count() -> None:
"""
Returns the number of trades running
:return: None
"""
if get_state() != State.RUNNING:
return (True, '`trader is not running`')
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
return (False, trades)