stable/freqtrade/freqtradebot.py

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"""
Freqtrade is the main module of this bot. It contains the class Freqtrade()
"""
import copy
import json
import time
import traceback
from typing import Dict, List, Optional, Any, Callable
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from datetime import datetime
import requests
import arrow
from cachetools import cached, TTLCache
from freqtrade.analyze import Analyze
from freqtrade.constants import Constants
from freqtrade.fiat_convert import CryptoToFiatConverter
from freqtrade.logger import Logger
from freqtrade.persistence import Trade
from freqtrade.rpc.rpc_manager import RPCManager
from freqtrade.state import State
from freqtrade import (DependencyException, OperationalException, exchange, persistence)
class FreqtradeBot(object):
"""
Freqtrade is the main class of the bot.
This is from here the bot start its logic.
"""
def __init__(self, config: Dict[str, Any], db_url: Optional[str] = None) -> bool:
"""
Init all variables and object the bot need to work
:param config: configuration dict, you can use the Configuration.get_config()
method to get the config dict.
:param db_url: database connector string for sqlalchemy (Optional)
"""
# Init the logger
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self.logger = Logger(name=__name__, level=config.get('loglevel')).get_logger()
# Init bot states
self._state = State.STOPPED
# Init objects
self.config = config
self.analyze = None
self.fiat_converter = None
self.rpc = None
self.persistence = None
self.exchange = None
self._init_modules(db_url=db_url)
def _init_modules(self, db_url: Optional[str] = None) -> None:
"""
Initializes all modules and updates the config
:param db_url: database connector string for sqlalchemy (Optional)
:return: None
"""
# Initialize all modules
self.analyze = Analyze(self.config)
self.fiat_converter = CryptoToFiatConverter()
self.rpc = RPCManager(self)
persistence.init(self.config, db_url)
exchange.init(self.config)
# Set initial application state
initial_state = self.config.get('initial_state')
if initial_state:
self.update_state(State[initial_state.upper()])
else:
self.update_state(State.STOPPED)
def clean(self) -> bool:
"""
Cleanup the application state und finish all pending tasks
:return: None
"""
self.rpc.send_msg('*Status:* `Stopping trader...`')
self.logger.info('Stopping trader and cleaning up modules...')
self.update_state(State.STOPPED)
self.rpc.cleanup()
persistence.cleanup()
return True
def update_state(self, state: State) -> None:
"""
Updates the application state
:param state: new state
:return: None
"""
self._state = state
def get_state(self) -> State:
"""
Gets the current application state
:return:
"""
return self._state
def worker(self, old_state: None) -> State:
"""
Trading routine that must be run at each loop
:param old_state: the previous service state from the previous call
:return: current service state
"""
new_state = self.get_state()
# Log state transition
if new_state != old_state:
self.rpc.send_msg('*Status:* `{}`'.format(new_state.name.lower()))
self.logger.info('Changing state to: %s', new_state.name)
if new_state == State.STOPPED:
time.sleep(1)
elif new_state == State.RUNNING:
min_secs = self.config['internals'].get(
'process_throttle_secs',
Constants.PROCESS_THROTTLE_SECS
)
nb_assets = self.config.get(
'dynamic_whitelist',
Constants.DYNAMIC_WHITELIST
)
interval = int(
self.config.get(
'ticker_interval',
Constants.TICKER_INTERVAL
)
)
self._throttle(func=self._process,
min_secs=min_secs,
nb_assets=nb_assets,
interval=interval)
return new_state
def _throttle(self, func: Callable[..., Any], min_secs: float, *args, **kwargs) -> Any:
"""
Throttles the given callable that it
takes at least `min_secs` to finish execution.
:param func: Any callable
:param min_secs: minimum execution time in seconds
:return: Any
"""
start = time.time()
result = func(*args, **kwargs)
end = time.time()
duration = max(min_secs - (end - start), 0.0)
self.logger.debug('Throttling %s for %.2f seconds', func.__name__, duration)
time.sleep(duration)
return result
def _process(self, interval: int, nb_assets: Optional[int] = 0) -> bool:
"""
Queries the persistence layer for open trades and handles them,
otherwise a new trade is created.
:param: nb_assets: the maximum number of pairs to be traded at the same time
:return: True if one or more trades has been created or closed, False otherwise
"""
state_changed = False
try:
# Refresh whitelist based on wallet maintenance
sanitized_list = self._refresh_whitelist(
self._gen_pair_whitelist(
self.config['stake_currency']
) if nb_assets else self.config['exchange']['pair_whitelist']
)
# Keep only the subsets of pairs wanted (up to nb_assets)
final_list = sanitized_list[:nb_assets] if nb_assets else sanitized_list
self.config['exchange']['pair_whitelist'] = final_list
# Query trades from persistence layer
trades = Trade.query.filter(Trade.is_open.is_(True)).all()
# First process current opened trades
for trade in trades:
state_changed |= self.process_maybe_execute_sell(trade, interval)
# Then looking for buy opportunities
if len(trades) < self.config['max_open_trades']:
state_changed = self.process_maybe_execute_buy(interval)
if 'unfilledtimeout' in self.config:
# Check and handle any timed out open orders
self.check_handle_timedout(self.config['unfilledtimeout'])
Trade.session.flush()
except (requests.exceptions.RequestException, json.JSONDecodeError) as error:
self.logger.warning(
'Got %s in _process(), retrying in 30 seconds...',
error
)
time.sleep(Constants.RETRY_TIMEOUT)
except OperationalException:
self.rpc.send_msg(
'*Status:* Got OperationalException:\n```\n{traceback}```{hint}'
.format(
traceback=traceback.format_exc(),
hint='Issue `/start` if you think it is safe to restart.'
)
)
self.logger.exception('Got OperationalException. Stopping trader ...')
self.update_state(State.STOPPED)
return state_changed
@cached(TTLCache(maxsize=1, ttl=1800))
def _gen_pair_whitelist(self, base_currency: str, key: str = 'BaseVolume') -> List[str]:
"""
Updates the whitelist with with a dynamically generated list
:param base_currency: base currency as str
:param key: sort key (defaults to 'BaseVolume')
:return: List of pairs
"""
summaries = sorted(
(s for s in exchange.get_market_summaries() if
s['MarketName'].startswith(base_currency)),
key=lambda s: s.get(key) or 0.0,
reverse=True
)
return [s['MarketName'].replace('-', '_') for s in summaries]
def _refresh_whitelist(self, whitelist: List[str]) -> List[str]:
"""
Check wallet health and remove pair from whitelist if necessary
:param whitelist: the sorted list (based on BaseVolume) of pairs the user might want to
trade
:return: the list of pairs the user wants to trade without the one unavailable or
black_listed
"""
sanitized_whitelist = whitelist
health = exchange.get_wallet_health()
known_pairs = set()
for status in health:
pair = '{}_{}'.format(self.config['stake_currency'], status['Currency'])
# pair is not int the generated dynamic market, or in the blacklist ... ignore it
if pair not in whitelist or pair in self.config['exchange'].get('pair_blacklist', []):
continue
# else the pair is valid
known_pairs.add(pair)
# Market is not active
if not status['IsActive']:
sanitized_whitelist.remove(pair)
self.logger.info(
'Ignoring %s from whitelist (reason: %s).',
pair, status.get('Notice') or 'wallet is not active'
)
# We need to remove pairs that are unknown
final_list = [x for x in sanitized_whitelist if x in known_pairs]
return final_list
def get_target_bid(self, ticker: Dict[str, float]) -> float:
"""
Calculates bid target between current ask price and last price
:param ticker: Ticker to use for getting Ask and Last Price
:return: float: Price
"""
if ticker['ask'] < ticker['last']:
return ticker['ask']
balance = self.config['bid_strategy']['ask_last_balance']
return ticker['ask'] + balance * (ticker['last'] - ticker['ask'])
# TODO: Remove the two parameters and use the value already in conf['stake_amount'] and
# int(conf['ticker_interval'])
def create_trade(self, stake_amount: float, interval: int) -> bool:
"""
Checks the implemented trading indicator(s) for a randomly picked pair,
if one pair triggers the buy_signal a new trade record gets created
:param stake_amount: amount of btc to spend
:param interval: Ticker interval used for Analyze
:return: True if a trade object has been created and persisted, False otherwise
"""
self.logger.info(
'Checking buy signals to create a new trade with stake_amount: %f ...',
stake_amount
)
whitelist = copy.deepcopy(self.config['exchange']['pair_whitelist'])
# Check if stake_amount is fulfilled
if exchange.get_balance(self.config['stake_currency']) < stake_amount:
raise DependencyException(
'stake amount is not fulfilled (currency={})'.format(self.config['stake_currency'])
)
# Remove currently opened and latest pairs from whitelist
for trade in Trade.query.filter(Trade.is_open.is_(True)).all():
if trade.pair in whitelist:
whitelist.remove(trade.pair)
self.logger.debug('Ignoring %s in pair whitelist', trade.pair)
if not whitelist:
raise DependencyException('No pair in whitelist')
# Pick pair based on StochRSI buy signals
for _pair in whitelist:
(buy, sell) = self.analyze.get_signal(_pair, interval)
if buy and not sell:
pair = _pair
break
else:
return False
# Calculate amount
buy_limit = self.get_target_bid(exchange.get_ticker(pair))
amount = stake_amount / buy_limit
order_id = exchange.buy(pair, buy_limit, amount)
stake_amount_fiat = self.fiat_converter.convert_amount(
stake_amount,
self.config['stake_currency'],
self.config['fiat_display_currency']
)
# Create trade entity and return
self.rpc.send_msg(
'*{}:* Buying [{}]({}) with limit `{:.8f} ({:.6f} {}, {:.3f} {})` '
.format(
exchange.get_name().upper(),
pair.replace('_', '/'),
exchange.get_pair_detail_url(pair),
buy_limit,
stake_amount,
self.config['stake_currency'],
stake_amount_fiat,
self.config['fiat_display_currency']
)
)
# Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
trade = Trade(
pair=pair,
stake_amount=stake_amount,
amount=amount,
fee=exchange.get_fee(),
open_rate=buy_limit,
open_date=datetime.utcnow(),
exchange=exchange.get_name().upper(),
open_order_id=order_id
)
Trade.session.add(trade)
Trade.session.flush()
return True
def process_maybe_execute_buy(self, interval: int) -> bool:
"""
Tries to execute a buy trade in a safe way
:return: True if executed
"""
try:
# Create entity and execute trade
if self.create_trade(float(self.config['stake_amount']), interval):
return True
self.logger.info(
'Checked all whitelisted currencies. '
'Found no suitable entry positions for buying. Will keep looking ...'
)
return False
except DependencyException as exception:
self.logger.warning('Unable to create trade: %s', exception)
return False
def process_maybe_execute_sell(self, trade: Trade, interval: int) -> bool:
"""
Tries to execute a sell trade
:return: True if executed
"""
# Get order details for actual price per unit
if trade.open_order_id:
# Update trade with order values
self.logger.info('Got open order for %s', trade)
trade.update(exchange.get_order(trade.open_order_id))
if trade.is_open and trade.open_order_id is None:
# Check if we can sell our current pair
return self.handle_trade(trade, interval)
return False
def handle_trade(self, trade: Trade, interval: int) -> bool:
"""
Sells the current pair if the threshold is reached and updates the trade record.
:return: True if trade has been sold, False otherwise
"""
if not trade.is_open:
raise ValueError('attempt to handle closed trade: {}'.format(trade))
self.logger.debug('Handling %s ...', trade)
current_rate = exchange.get_ticker(trade.pair)['bid']
(buy, sell) = (False, False)
if self.config.get('experimental', {}).get('use_sell_signal'):
(buy, sell) = self.analyze.get_signal(trade.pair, interval)
if self.analyze.should_sell(trade, current_rate, datetime.utcnow(), buy, sell):
self.execute_sell(trade, current_rate)
return True
return False
def check_handle_timedout(self, timeoutvalue: int) -> None:
"""
Check if any orders are timed out and cancel if neccessary
:param timeoutvalue: Number of minutes until order is considered timed out
:return: None
"""
timeoutthreashold = arrow.utcnow().shift(minutes=-timeoutvalue).datetime
for trade in Trade.query.filter(Trade.open_order_id.isnot(None)).all():
try:
order = exchange.get_order(trade.open_order_id)
except requests.exceptions.RequestException:
self.logger.info(
'Cannot query order for %s due to %s',
trade,
traceback.format_exc())
continue
ordertime = arrow.get(order['opened'])
# Check if trade is still actually open
if int(order['remaining']) == 0:
continue
if order['type'] == "LIMIT_BUY" and ordertime < timeoutthreashold:
self.handle_timedout_limit_buy(trade, order)
elif order['type'] == "LIMIT_SELL" and ordertime < timeoutthreashold:
self.handle_timedout_limit_sell(trade, order)
# FIX: 20180110, why is cancel.order unconditionally here, whereas
# it is conditionally called in the
# handle_timedout_limit_sell()?
def handle_timedout_limit_buy(self, trade: Trade, order: Dict) -> bool:
"""Buy timeout - cancel order
:return: True if order was fully cancelled
"""
exchange.cancel_order(trade.open_order_id)
if order['remaining'] == order['amount']:
# if trade is not partially completed, just delete the trade
Trade.session.delete(trade)
# FIX? do we really need to flush, caller of
# check_handle_timedout will flush afterwards
Trade.session.flush()
self.logger.info('Buy order timeout for %s.', trade)
self.rpc.send_msg('*Timeout:* Unfilled buy order for {} cancelled'.format(
trade.pair.replace('_', '/')))
return True
# if trade is partially complete, edit the stake details for the trade
# and close the order
trade.amount = order['amount'] - order['remaining']
trade.stake_amount = trade.amount * trade.open_rate
trade.open_order_id = None
self.logger.info('Partial buy order timeout for %s.', trade)
self.rpc.send_msg('*Timeout:* Remaining buy order for {} cancelled'.format(
trade.pair.replace('_', '/')))
return False
# FIX: 20180110, should cancel_order() be cond. or unconditionally called?
def handle_timedout_limit_sell(self, trade: Trade, order: Dict) -> bool:
"""
Sell timeout - cancel order and update trade
:return: True if order was fully cancelled
"""
if order['remaining'] == order['amount']:
# if trade is not partially completed, just cancel the trade
exchange.cancel_order(trade.open_order_id)
trade.close_rate = None
trade.close_profit = None
trade.close_date = None
trade.is_open = True
trade.open_order_id = None
self.rpc.send_msg('*Timeout:* Unfilled sell order for {} cancelled'.format(
trade.pair.replace('_', '/')))
self.logger.info('Sell order timeout for %s.', trade)
return True
# TODO: figure out how to handle partially complete sell orders
return False
def execute_sell(self, trade: Trade, limit: float) -> None:
"""
Executes a limit sell for the given trade and limit
:param trade: Trade instance
:param limit: limit rate for the sell order
:return: None
"""
# Execute sell and update trade record
order_id = exchange.sell(str(trade.pair), limit, trade.amount)
trade.open_order_id = order_id
fmt_exp_profit = round(trade.calc_profit_percent(rate=limit) * 100, 2)
profit_trade = trade.calc_profit(rate=limit)
current_rate = exchange.get_ticker(trade.pair, False)['bid']
profit = trade.calc_profit_percent(current_rate)
message = "*{exchange}:* Selling\n" \
"*Current Pair:* [{pair}]({pair_url})\n" \
"*Limit:* `{limit}`\n" \
"*Amount:* `{amount}`\n" \
"*Open Rate:* `{open_rate:.8f}`\n" \
"*Current Rate:* `{current_rate:.8f}`\n" \
"*Profit:* `{profit:.2f}%`" \
"".format(
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exchange=trade.exchange,
pair=trade.pair,
pair_url=exchange.get_pair_detail_url(trade.pair),
limit=limit,
open_rate=trade.open_rate,
current_rate=current_rate,
amount=round(trade.amount, 8),
profit=round(profit * 100, 2),
)
# For regular case, when the configuration exists
if 'stake_currency' in self.config and 'fiat_display_currency' in self.config:
fiat_converter = CryptoToFiatConverter()
profit_fiat = fiat_converter.convert_amount(
profit_trade,
self.config['stake_currency'],
self.config['fiat_display_currency']
)
message += '` ({gain}: {profit_percent:.2f}%, {profit_coin:.8f} {coin}`' \
'` / {profit_fiat:.3f} {fiat})`' \
''.format(
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gain="profit" if fmt_exp_profit > 0 else "loss",
profit_percent=fmt_exp_profit,
profit_coin=profit_trade,
coin=self.config['stake_currency'],
profit_fiat=profit_fiat,
fiat=self.config['fiat_display_currency'],
)
# Because telegram._forcesell does not have the configuration
# Ignore the FIAT value and does not show the stake_currency as well
else:
message += '` ({gain}: {profit_percent:.2f}%, {profit_coin:.8f})`'.format(
gain="profit" if fmt_exp_profit > 0 else "loss",
profit_percent=fmt_exp_profit,
profit_coin=profit_trade
)
# Send the message
self.rpc.send_msg(message)
Trade.session.flush()