Exemplo n.º 1
0
def test_adjust(mocker, edge_conf):
    freqtrade = get_patched_freqtradebot(mocker, edge_conf)
    edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
    mocker.patch('freqtrade.edge.Edge._cached_pairs', mocker.PropertyMock(
        return_value={
            'E/F': PairInfo(-0.01, 0.66, 3.71, 0.50, 1.71, 10, 60),
            'C/D': PairInfo(-0.01, 0.66, 3.71, 0.50, 1.71, 10, 60),
            'N/O': PairInfo(-0.01, 0.66, 3.71, 0.50, 1.71, 10, 60)
        }
    ))

    pairs = ['A/B', 'C/D', 'E/F', 'G/H']
    assert(edge.adjust(pairs) == ['E/F', 'C/D'])
Exemplo n.º 2
0
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]) -> None:
        """
        Init all variables and objects the bot needs to work
        :param config: configuration dict, you can use Configuration.get_config()
        to get the config dict.
        """

        logger.info('Starting freqtrade %s', __version__)

        # Init bot state
        self.state = State.STOPPED

        # Init objects
        self.config = config

        self.strategy: IStrategy = StrategyResolver(self.config).strategy

        self.rpc: RPCManager = RPCManager(self)

        self.exchange = ExchangeResolver(self.config['exchange']['name'], self.config).exchange

        self.wallets = Wallets(self.config, self.exchange)
        self.dataprovider = DataProvider(self.config, self.exchange)

        # Attach Dataprovider to Strategy baseclass
        IStrategy.dp = self.dataprovider
        # Attach Wallets to Strategy baseclass
        IStrategy.wallets = self.wallets

        pairlistname = self.config.get('pairlist', {}).get('method', 'StaticPairList')
        self.pairlists = PairListResolver(pairlistname, self, self.config).pairlist

        # Initializing Edge only if enabled
        self.edge = Edge(self.config, self.exchange, self.strategy) if \
            self.config.get('edge', {}).get('enabled', False) else None

        self.active_pair_whitelist: List[str] = self.config['exchange']['pair_whitelist']

        persistence.init(self.config.get('db_url', None),
                         clean_open_orders=self.config.get('dry_run', False))

        # Set initial bot state from config
        initial_state = self.config.get('initial_state')
        self.state = State[initial_state.upper()] if initial_state else State.STOPPED

    def cleanup(self) -> None:
        """
        Cleanup pending resources on an already stopped bot
        :return: None
        """
        logger.info('Cleaning up modules ...')

        self.rpc.cleanup()
        persistence.cleanup()

    def startup(self) -> None:
        """
        Called on startup and after reloading the bot - triggers notifications and
        performs startup tasks
        """
        self.rpc.startup_messages(self.config, self.pairlists)
        if not self.edge:
            # Adjust stoploss if it was changed
            Trade.stoploss_reinitialization(self.strategy.stoploss)

    def process(self) -> bool:
        """
        Queries the persistence layer for open trades and handles them,
        otherwise a new trade is created.
        :return: True if one or more trades has been created or closed, False otherwise
        """
        state_changed = False

        # Check whether markets have to be reloaded
        self.exchange._reload_markets()

        # Refresh whitelist
        self.pairlists.refresh_pairlist()
        self.active_pair_whitelist = self.pairlists.whitelist

        # Calculating Edge positioning
        if self.edge:
            self.edge.calculate()
            self.active_pair_whitelist = self.edge.adjust(self.active_pair_whitelist)

        # Query trades from persistence layer
        trades = Trade.get_open_trades()

        # Extend active-pair whitelist with pairs from open trades
        # It ensures that tickers are downloaded for open trades
        self._extend_whitelist_with_trades(self.active_pair_whitelist, trades)

        # Refreshing candles
        self.dataprovider.refresh(self._create_pair_whitelist(self.active_pair_whitelist),
                                  self.strategy.informative_pairs())

        # First process current opened trades
        for trade in trades:
            state_changed |= self.process_maybe_execute_sell(trade)

        # Then looking for buy opportunities
        if len(trades) < self.config['max_open_trades']:
            state_changed = self.process_maybe_execute_buy()

        if 'unfilledtimeout' in self.config:
            # Check and handle any timed out open orders
            self.check_handle_timedout()
            Trade.session.flush()

        return state_changed

    def _extend_whitelist_with_trades(self, whitelist: List[str], trades: List[Any]):
        """
        Extend whitelist with pairs from open trades
        """
        whitelist.extend([trade.pair for trade in trades if trade.pair not in whitelist])

    def _create_pair_whitelist(self, pairs: List[str]) -> List[Tuple[str, str]]:
        """
        Create pair-whitelist tuple with (pair, ticker_interval)
        """
        return [(pair, self.config['ticker_interval']) for pair in pairs]

    def get_target_bid(self, pair: str, tick: Dict = None) -> float:
        """
        Calculates bid target between current ask price and last price
        :return: float: Price
        """
        config_bid_strategy = self.config.get('bid_strategy', {})
        if 'use_order_book' in config_bid_strategy and\
                config_bid_strategy.get('use_order_book', False):
            logger.info('Getting price from order book')
            order_book_top = config_bid_strategy.get('order_book_top', 1)
            order_book = self.exchange.get_order_book(pair, order_book_top)
            logger.debug('order_book %s', order_book)
            # top 1 = index 0
            order_book_rate = order_book['bids'][order_book_top - 1][0]
            logger.info('...top %s order book buy rate %0.8f', order_book_top, order_book_rate)
            used_rate = order_book_rate
        else:
            if not tick:
                logger.info('Using Last Ask / Last Price')
                ticker = self.exchange.get_ticker(pair)
            else:
                ticker = tick
            if ticker['ask'] < ticker['last']:
                ticker_rate = ticker['ask']
            else:
                balance = self.config['bid_strategy']['ask_last_balance']
                ticker_rate = ticker['ask'] + balance * (ticker['last'] - ticker['ask'])
            used_rate = ticker_rate

        return used_rate

    def _get_trade_stake_amount(self, pair) -> Optional[float]:
        """
        Check if stake amount can be fulfilled with the available balance
        for the stake currency
        :return: float: Stake Amount
        """
        if self.edge:
            return self.edge.stake_amount(
                pair,
                self.wallets.get_free(self.config['stake_currency']),
                self.wallets.get_total(self.config['stake_currency']),
                Trade.total_open_trades_stakes()
            )
        else:
            stake_amount = self.config['stake_amount']

        available_amount = self.wallets.get_free(self.config['stake_currency'])

        if stake_amount == constants.UNLIMITED_STAKE_AMOUNT:
            open_trades = len(Trade.get_open_trades())
            if open_trades >= self.config['max_open_trades']:
                logger.warning('Can\'t open a new trade: max number of trades is reached')
                return None
            return available_amount / (self.config['max_open_trades'] - open_trades)

        # Check if stake_amount is fulfilled
        if available_amount < stake_amount:
            raise DependencyException(
                f"Available balance({available_amount} {self.config['stake_currency']}) is "
                f"lower than stake amount({stake_amount} {self.config['stake_currency']})"
            )

        return stake_amount

    def _get_min_pair_stake_amount(self, pair: str, price: float) -> Optional[float]:
        try:
            market = self.exchange.markets[pair]
        except KeyError:
            raise ValueError(f"Can't get market information for symbol {pair}")

        if 'limits' not in market:
            return None

        min_stake_amounts = []
        limits = market['limits']
        if ('cost' in limits and 'min' in limits['cost']
                and limits['cost']['min'] is not None):
            min_stake_amounts.append(limits['cost']['min'])

        if ('amount' in limits and 'min' in limits['amount']
                and limits['amount']['min'] is not None):
            min_stake_amounts.append(limits['amount']['min'] * price)

        if not min_stake_amounts:
            return None

        # reserve some percent defined in config (5% default) + stoploss
        amount_reserve_percent = 1.0 - self.config.get('amount_reserve_percent',
                                                       constants.DEFAULT_AMOUNT_RESERVE_PERCENT)
        if self.strategy.stoploss is not None:
            amount_reserve_percent += self.strategy.stoploss
        # it should not be more than 50%
        amount_reserve_percent = max(amount_reserve_percent, 0.5)
        return min(min_stake_amounts) / amount_reserve_percent

    def create_trade(self) -> 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
        :return: True if a trade object has been created and persisted, False otherwise
        """
        interval = self.strategy.ticker_interval
        whitelist = copy.deepcopy(self.active_pair_whitelist)

        if not whitelist:
            logger.warning("Whitelist is empty.")
            return False

        # Remove currently opened and latest pairs from whitelist
        for trade in Trade.get_open_trades():
            if trade.pair in whitelist:
                whitelist.remove(trade.pair)
                logger.debug('Ignoring %s in pair whitelist', trade.pair)

        if not whitelist:
            logger.info("No currency pair in whitelist, but checking to sell open trades.")
            return False

        # running get_signal on historical data fetched
        for _pair in whitelist:
            (buy, sell) = self.strategy.get_signal(
                _pair, interval, self.dataprovider.ohlcv(_pair, self.strategy.ticker_interval))

            if buy and not sell:
                stake_amount = self._get_trade_stake_amount(_pair)
                if not stake_amount:
                    return False

                logger.info(f"Buy signal found: about create a new trade with stake_amount: "
                            f"{stake_amount} ...")

                bidstrat_check_depth_of_market = self.config.get('bid_strategy', {}).\
                    get('check_depth_of_market', {})
                if (bidstrat_check_depth_of_market.get('enabled', False)) and\
                        (bidstrat_check_depth_of_market.get('bids_to_ask_delta', 0) > 0):
                    if self._check_depth_of_market_buy(_pair, bidstrat_check_depth_of_market):
                        return self.execute_buy(_pair, stake_amount)
                    else:
                        return False
                return self.execute_buy(_pair, stake_amount)

        return False

    def _check_depth_of_market_buy(self, pair: str, conf: Dict) -> bool:
        """
        Checks depth of market before executing a buy
        """
        conf_bids_to_ask_delta = conf.get('bids_to_ask_delta', 0)
        logger.info('checking depth of market for %s', pair)
        order_book = self.exchange.get_order_book(pair, 1000)
        order_book_data_frame = order_book_to_dataframe(order_book['bids'], order_book['asks'])
        order_book_bids = order_book_data_frame['b_size'].sum()
        order_book_asks = order_book_data_frame['a_size'].sum()
        bids_ask_delta = order_book_bids / order_book_asks
        logger.info('bids: %s, asks: %s, delta: %s', order_book_bids,
                    order_book_asks, bids_ask_delta)
        if bids_ask_delta >= conf_bids_to_ask_delta:
            return True
        return False

    def execute_buy(self, pair: str, stake_amount: float, price: Optional[float] = None) -> bool:
        """
        Executes a limit buy for the given pair
        :param pair: pair for which we want to create a LIMIT_BUY
        :return: None
        """
        pair_s = pair.replace('_', '/')
        stake_currency = self.config['stake_currency']
        fiat_currency = self.config.get('fiat_display_currency', None)
        time_in_force = self.strategy.order_time_in_force['buy']

        if price:
            buy_limit_requested = price
        else:
            # Calculate amount
            buy_limit_requested = self.get_target_bid(pair)

        min_stake_amount = self._get_min_pair_stake_amount(pair_s, buy_limit_requested)
        if min_stake_amount is not None and min_stake_amount > stake_amount:
            logger.warning(
                f'Can\'t open a new trade for {pair_s}: stake amount '
                f'is too small ({stake_amount} < {min_stake_amount})'
            )
            return False

        amount = stake_amount / buy_limit_requested
        order_type = self.strategy.order_types['buy']
        order = self.exchange.buy(pair=pair, ordertype=order_type,
                                  amount=amount, rate=buy_limit_requested,
                                  time_in_force=time_in_force)
        order_id = order['id']
        order_status = order.get('status', None)

        # we assume the order is executed at the price requested
        buy_limit_filled_price = buy_limit_requested

        if order_status == 'expired' or order_status == 'rejected':
            order_tif = self.strategy.order_time_in_force['buy']

            # return false if the order is not filled
            if float(order['filled']) == 0:
                logger.warning('Buy %s order with time in force %s for %s is %s by %s.'
                               ' zero amount is fulfilled.',
                               order_tif, order_type, pair_s, order_status, self.exchange.name)
                return False
            else:
                # the order is partially fulfilled
                # in case of IOC orders we can check immediately
                # if the order is fulfilled fully or partially
                logger.warning('Buy %s order with time in force %s for %s is %s by %s.'
                               ' %s amount fulfilled out of %s (%s remaining which is canceled).',
                               order_tif, order_type, pair_s, order_status, self.exchange.name,
                               order['filled'], order['amount'], order['remaining']
                               )
                stake_amount = order['cost']
                amount = order['amount']
                buy_limit_filled_price = order['price']
                order_id = None

        # in case of FOK the order may be filled immediately and fully
        elif order_status == 'closed':
            stake_amount = order['cost']
            amount = order['amount']
            buy_limit_filled_price = order['price']

        self.rpc.send_msg({
            'type': RPCMessageType.BUY_NOTIFICATION,
            'exchange': self.exchange.name.capitalize(),
            'pair': pair_s,
            'limit': buy_limit_filled_price,
            'order_type': order_type,
            'stake_amount': stake_amount,
            'stake_currency': stake_currency,
            'fiat_currency': fiat_currency
        })

        # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
        fee = self.exchange.get_fee(symbol=pair, taker_or_maker='maker')
        trade = Trade(
            pair=pair,
            stake_amount=stake_amount,
            amount=amount,
            fee_open=fee,
            fee_close=fee,
            open_rate=buy_limit_filled_price,
            open_rate_requested=buy_limit_requested,
            open_date=datetime.utcnow(),
            exchange=self.exchange.id,
            open_order_id=order_id,
            strategy=self.strategy.get_strategy_name(),
            ticker_interval=timeframe_to_minutes(self.config['ticker_interval'])
        )

        # Update fees if order is closed
        if order_status == 'closed':
            self.update_trade_state(trade, order)

        Trade.session.add(trade)
        Trade.session.flush()

        # Updating wallets
        self.wallets.update()

        return True

    def process_maybe_execute_buy(self) -> 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():
                return True

            logger.info('Found no buy signals for whitelisted currencies. Trying again..')
            return False
        except DependencyException as exception:
            logger.warning('Unable to create trade: %s', exception)
            return False

    def process_maybe_execute_sell(self, trade: Trade) -> bool:
        """
        Tries to execute a sell trade
        :return: True if executed
        """
        try:
            self.update_trade_state(trade)

            if self.strategy.order_types.get('stoploss_on_exchange') and trade.is_open:
                result = self.handle_stoploss_on_exchange(trade)
                if result:
                    self.wallets.update()
                    return result

            if trade.is_open and trade.open_order_id is None:
                # Check if we can sell our current pair
                result = self.handle_trade(trade)

                # Updating wallets if any trade occured
                if result:
                    self.wallets.update()

                return result

        except DependencyException as exception:
            logger.warning('Unable to sell trade: %s', exception)
        return False

    def get_real_amount(self, trade: Trade, order: Dict) -> float:
        """
        Get real amount for the trade
        Necessary for exchanges which charge fees in base currency (e.g. binance)
        """
        order_amount = order['amount']
        # Only run for closed orders
        if trade.fee_open == 0 or order['status'] == 'open':
            return order_amount

        # use fee from order-dict if possible
        if 'fee' in order and order['fee'] and (order['fee'].keys() >= {'currency', 'cost'}):
            if trade.pair.startswith(order['fee']['currency']):
                new_amount = order_amount - order['fee']['cost']
                logger.info("Applying fee on amount for %s (from %s to %s) from Order",
                            trade, order['amount'], new_amount)
                return new_amount

        # Fallback to Trades
        trades = self.exchange.get_trades_for_order(trade.open_order_id, trade.pair,
                                                    trade.open_date)

        if len(trades) == 0:
            logger.info("Applying fee on amount for %s failed: myTrade-Dict empty found", trade)
            return order_amount
        amount = 0
        fee_abs = 0
        for exectrade in trades:
            amount += exectrade['amount']
            if "fee" in exectrade and (exectrade['fee'].keys() >= {'currency', 'cost'}):
                # only applies if fee is in quote currency!
                if trade.pair.startswith(exectrade['fee']['currency']):
                    fee_abs += exectrade['fee']['cost']

        if amount != order_amount:
            logger.warning(f"Amount {amount} does not match amount {trade.amount}")
            raise OperationalException("Half bought? Amounts don't match")
        real_amount = amount - fee_abs
        if fee_abs != 0:
            logger.info(f"Applying fee on amount for {trade} "
                        f"(from {order_amount} to {real_amount}) from Trades")
        return real_amount

    def update_trade_state(self, trade, action_order: dict = None):
        """
        Checks trades with open orders and updates the amount if necessary
        """
        # Get order details for actual price per unit
        if trade.open_order_id:
            # Update trade with order values
            logger.info('Found open order for %s', trade)
            order = action_order or self.exchange.get_order(trade.open_order_id, trade.pair)
            # Try update amount (binance-fix)
            try:
                new_amount = self.get_real_amount(trade, order)
                if order['amount'] != new_amount:
                    order['amount'] = new_amount
                    # Fee was applied, so set to 0
                    trade.fee_open = 0

            except OperationalException as exception:
                logger.warning("Could not update trade amount: %s", exception)

            trade.update(order)

            # Updating wallets when order is closed
            if not trade.is_open:
                self.wallets.update()

    def get_sell_rate(self, pair: str, refresh: bool) -> float:
        """
        Get sell rate - either using get-ticker bid or first bid based on orderbook
        The orderbook portion is only used for rpc messaging, which would otherwise fail
        for BitMex (has no bid/ask in get_ticker)
        or remain static in any other case since it's not updating.
        :return: Bid rate
        """
        config_ask_strategy = self.config.get('ask_strategy', {})
        if config_ask_strategy.get('use_order_book', False):
            logger.debug('Using order book to get sell rate')

            order_book = self.exchange.get_order_book(pair, 1)
            rate = order_book['bids'][0][0]

        else:
            rate = self.exchange.get_ticker(pair, refresh)['bid']
        return rate

    def handle_trade(self, trade: Trade) -> 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(f'Attempt to handle closed trade: {trade}')

        logger.debug('Handling %s ...', trade)

        (buy, sell) = (False, False)
        experimental = self.config.get('experimental', {})
        if experimental.get('use_sell_signal') or experimental.get('ignore_roi_if_buy_signal'):
            (buy, sell) = self.strategy.get_signal(
                trade.pair, self.strategy.ticker_interval,
                self.dataprovider.ohlcv(trade.pair, self.strategy.ticker_interval))

        config_ask_strategy = self.config.get('ask_strategy', {})
        if config_ask_strategy.get('use_order_book', False):
            logger.info('Using order book for selling...')
            # logger.debug('Order book %s',orderBook)
            order_book_min = config_ask_strategy.get('order_book_min', 1)
            order_book_max = config_ask_strategy.get('order_book_max', 1)

            order_book = self.exchange.get_order_book(trade.pair, order_book_max)

            for i in range(order_book_min, order_book_max + 1):
                order_book_rate = order_book['asks'][i - 1][0]
                logger.info('  order book asks top %s: %0.8f', i, order_book_rate)
                sell_rate = order_book_rate

                if self.check_sell(trade, sell_rate, buy, sell):
                    return True

        else:
            logger.debug('checking sell')
            sell_rate = self.get_sell_rate(trade.pair, True)
            if self.check_sell(trade, sell_rate, buy, sell):
                return True

        logger.debug('Found no sell signal for %s.', trade)
        return False

    def handle_stoploss_on_exchange(self, trade: Trade) -> bool:
        """
        Check if trade is fulfilled in which case the stoploss
        on exchange should be added immediately if stoploss on exchange
        is enabled.
        """

        logger.debug('Handling stoploss on exchange %s ...', trade)

        stoploss_order = None

        try:
            # First we check if there is already a stoploss on exchange
            stoploss_order = self.exchange.get_order(trade.stoploss_order_id, trade.pair) \
                if trade.stoploss_order_id else None
        except InvalidOrderException as exception:
            logger.warning('Unable to fetch stoploss order: %s', exception)

        # If trade open order id does not exist: buy order is fulfilled
        buy_order_fulfilled = not trade.open_order_id

        # Limit price threshold: As limit price should always be below price
        limit_price_pct = 0.99

        # If buy order is fulfilled but there is no stoploss, we add a stoploss on exchange
        if (buy_order_fulfilled and not stoploss_order):
            if self.edge:
                stoploss = self.edge.stoploss(pair=trade.pair)
            else:
                stoploss = self.strategy.stoploss

            stop_price = trade.open_rate * (1 + stoploss)

            # limit price should be less than stop price.
            limit_price = stop_price * limit_price_pct

            try:
                stoploss_order_id = self.exchange.stoploss_limit(
                    pair=trade.pair, amount=trade.amount, stop_price=stop_price, rate=limit_price
                )['id']
                trade.stoploss_order_id = str(stoploss_order_id)
                trade.stoploss_last_update = datetime.now()
                return False

            except DependencyException as exception:
                logger.warning('Unable to place a stoploss order on exchange: %s', exception)

        # If stoploss order is canceled for some reason we add it
        if stoploss_order and stoploss_order['status'] == 'canceled':
            try:
                stoploss_order_id = self.exchange.stoploss_limit(
                    pair=trade.pair, amount=trade.amount,
                    stop_price=trade.stop_loss, rate=trade.stop_loss * limit_price_pct
                )['id']
                trade.stoploss_order_id = str(stoploss_order_id)
                return False
            except DependencyException as exception:
                logger.warning('Stoploss order was cancelled, '
                               'but unable to recreate one: %s', exception)

        # We check if stoploss order is fulfilled
        if stoploss_order and stoploss_order['status'] == 'closed':
            trade.sell_reason = SellType.STOPLOSS_ON_EXCHANGE.value
            trade.update(stoploss_order)
            self.notify_sell(trade)
            return True

        # Finally we check if stoploss on exchange should be moved up because of trailing.
        if stoploss_order and self.config.get('trailing_stop', False):
            # if trailing stoploss is enabled we check if stoploss value has changed
            # in which case we cancel stoploss order and put another one with new
            # value immediately
            self.handle_trailing_stoploss_on_exchange(trade, stoploss_order)

        return False

    def handle_trailing_stoploss_on_exchange(self, trade: Trade, order):
        """
        Check to see if stoploss on exchange should be updated
        in case of trailing stoploss on exchange
        :param Trade: Corresponding Trade
        :param order: Current on exchange stoploss order
        :return: None
        """

        if trade.stop_loss > float(order['info']['stopPrice']):
            # we check if the update is neccesary
            update_beat = self.strategy.order_types.get('stoploss_on_exchange_interval', 60)
            if (datetime.utcnow() - trade.stoploss_last_update).total_seconds() > update_beat:
                # cancelling the current stoploss on exchange first
                logger.info('Trailing stoploss: cancelling current stoploss on exchange (id:{%s})'
                            'in order to add another one ...', order['id'])
                try:
                    self.exchange.cancel_order(order['id'], trade.pair)
                except InvalidOrderException:
                    logger.exception(f"Could not cancel stoploss order {order['id']} "
                                     f"for pair {trade.pair}")

                try:
                    # creating the new one
                    stoploss_order_id = self.exchange.stoploss_limit(
                        pair=trade.pair, amount=trade.amount,
                        stop_price=trade.stop_loss, rate=trade.stop_loss * 0.99
                    )['id']
                    trade.stoploss_order_id = str(stoploss_order_id)
                except DependencyException:
                    logger.exception(f"Could create trailing stoploss order "
                                     f"for pair {trade.pair}.")

    def check_sell(self, trade: Trade, sell_rate: float, buy: bool, sell: bool) -> bool:
        if self.edge:
            stoploss = self.edge.stoploss(trade.pair)
            should_sell = self.strategy.should_sell(
                trade, sell_rate, datetime.utcnow(), buy, sell, force_stoploss=stoploss)
        else:
            should_sell = self.strategy.should_sell(trade, sell_rate, datetime.utcnow(), buy, sell)

        if should_sell.sell_flag:
            self.execute_sell(trade, sell_rate, should_sell.sell_type)
            logger.info('executed sell, reason: %s', should_sell.sell_type)
            return True
        return False

    def check_handle_timedout(self) -> 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
        """
        buy_timeout = self.config['unfilledtimeout']['buy']
        sell_timeout = self.config['unfilledtimeout']['sell']
        buy_timeoutthreashold = arrow.utcnow().shift(minutes=-buy_timeout).datetime
        sell_timeoutthreashold = arrow.utcnow().shift(minutes=-sell_timeout).datetime

        for trade in Trade.query.filter(Trade.open_order_id.isnot(None)).all():
            try:
                # FIXME: Somehow the query above returns results
                # where the open_order_id is in fact None.
                # This is probably because the record got
                # updated via /forcesell in a different thread.
                if not trade.open_order_id:
                    continue
                order = self.exchange.get_order(trade.open_order_id, trade.pair)
            except (RequestException, DependencyException):
                logger.info(
                    'Cannot query order for %s due to %s',
                    trade,
                    traceback.format_exc())
                continue
            ordertime = arrow.get(order['datetime']).datetime

            # Check if trade is still actually open
            if float(order['remaining']) == 0.0:
                self.wallets.update()
                continue

            # Handle cancelled on exchange
            if order['status'] == 'canceled':
                if order['side'] == 'buy':
                    self.handle_buy_order_full_cancel(trade, "canceled on Exchange")
                elif order['side'] == 'sell':
                    self.handle_timedout_limit_sell(trade, order)
                    self.wallets.update()
            # Check if order is still actually open
            elif order['status'] == 'open':
                if order['side'] == 'buy' and ordertime < buy_timeoutthreashold:
                    self.handle_timedout_limit_buy(trade, order)
                    self.wallets.update()
                elif order['side'] == 'sell' and ordertime < sell_timeoutthreashold:
                    self.handle_timedout_limit_sell(trade, order)
                    self.wallets.update()

    def handle_buy_order_full_cancel(self, trade: Trade, reason: str) -> None:
        """Close trade in database and send message"""
        Trade.session.delete(trade)
        Trade.session.flush()
        logger.info('Buy order %s for %s.', reason, trade)
        self.rpc.send_msg({
            'type': RPCMessageType.STATUS_NOTIFICATION,
            'status': f'Unfilled buy order for {trade.pair} {reason}'
        })

    def handle_timedout_limit_buy(self, trade: Trade, order: Dict) -> bool:
        """Buy timeout - cancel order
        :return: True if order was fully cancelled
        """
        self.exchange.cancel_order(trade.open_order_id, trade.pair)
        if order['remaining'] == order['amount']:
            # if trade is not partially completed, just delete the trade
            self.handle_buy_order_full_cancel(trade, "cancelled due to timeout")
            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
        logger.info('Partial buy order timeout for %s.', trade)
        self.rpc.send_msg({
            'type': RPCMessageType.STATUS_NOTIFICATION,
            'status': f'Remaining buy order for {trade.pair} cancelled due to timeout'
        })
        return False

    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
            if order["status"] != "canceled":
                reason = "due to timeout"
                self.exchange.cancel_order(trade.open_order_id, trade.pair)
                logger.info('Sell order timeout for %s.', trade)
            else:
                reason = "on exchange"
                logger.info('Sell order canceled on exchange for %s.', trade)
            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({
                'type': RPCMessageType.STATUS_NOTIFICATION,
                'status': f'Unfilled sell order for {trade.pair} cancelled {reason}'
            })

            return True

        # TODO: figure out how to handle partially complete sell orders
        return False

    def execute_sell(self, trade: Trade, limit: float, sell_reason: SellType) -> None:
        """
        Executes a limit sell for the given trade and limit
        :param trade: Trade instance
        :param limit: limit rate for the sell order
        :param sellreason: Reason the sell was triggered
        :return: None
        """
        sell_type = 'sell'
        if sell_reason in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):
            sell_type = 'stoploss'

        # if stoploss is on exchange and we are on dry_run mode,
        # we consider the sell price stop price
        if self.config.get('dry_run', False) and sell_type == 'stoploss' \
           and self.strategy.order_types['stoploss_on_exchange']:
            limit = trade.stop_loss

        # First cancelling stoploss on exchange ...
        if self.strategy.order_types.get('stoploss_on_exchange') and trade.stoploss_order_id:
            try:
                self.exchange.cancel_order(trade.stoploss_order_id, trade.pair)
            except InvalidOrderException:
                logger.exception(f"Could not cancel stoploss order {trade.stoploss_order_id}")

        # Execute sell and update trade record
        order_id = self.exchange.sell(pair=str(trade.pair),
                                      ordertype=self.strategy.order_types[sell_type],
                                      amount=trade.amount, rate=limit,
                                      time_in_force=self.strategy.order_time_in_force['sell']
                                      )['id']

        trade.open_order_id = order_id
        trade.close_rate_requested = limit
        trade.sell_reason = sell_reason.value
        Trade.session.flush()
        self.notify_sell(trade)

    def notify_sell(self, trade: Trade):
        """
        Sends rpc notification when a sell occured.
        """
        profit_rate = trade.close_rate if trade.close_rate else trade.close_rate_requested
        profit_trade = trade.calc_profit(rate=profit_rate)
        # Use cached ticker here - it was updated seconds ago.
        current_rate = self.get_sell_rate(trade.pair, False)
        profit_percent = trade.calc_profit_percent(profit_rate)
        gain = "profit" if profit_percent > 0 else "loss"

        msg = {
            'type': RPCMessageType.SELL_NOTIFICATION,
            'exchange': trade.exchange.capitalize(),
            'pair': trade.pair,
            'gain': gain,
            'limit': trade.close_rate_requested,
            'order_type': self.strategy.order_types['sell'],
            'amount': trade.amount,
            'open_rate': trade.open_rate,
            'current_rate': current_rate,
            'profit_amount': profit_trade,
            'profit_percent': profit_percent,
            'sell_reason': trade.sell_reason
        }

        # For regular case, when the configuration exists
        if 'stake_currency' in self.config and 'fiat_display_currency' in self.config:
            stake_currency = self.config['stake_currency']
            fiat_currency = self.config['fiat_display_currency']
            msg.update({
                'stake_currency': stake_currency,
                'fiat_currency': fiat_currency,
            })

        # Send the message
        self.rpc.send_msg(msg)
Exemplo n.º 3
0
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]) -> None:
        """
        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.
        """

        logger.info(
            'Starting freqtrade %s',
            __version__,
        )

        # Init bot states
        self.state = State.STOPPED

        # Init objects
        self.config = config
        self.strategy: IStrategy = StrategyResolver(self.config).strategy

        self.rpc: RPCManager = RPCManager(self)
        self.persistence = None
        self.exchange = Exchange(self.config)
        self.wallets = Wallets(self.exchange)
        pairlistname = self.config.get('pairlist',
                                       {}).get('method', 'StaticPairList')
        self.pairlists = PairListResolver(pairlistname, self,
                                          self.config).pairlist

        # Initializing Edge only if enabled
        self.edge = Edge(self.config, self.exchange, self.strategy) if \
            self.config.get('edge', {}).get('enabled', False) else None

        self.active_pair_whitelist: List[str] = self.config['exchange'][
            'pair_whitelist']
        self._init_modules()

    def _init_modules(self) -> None:
        """
        Initializes all modules and updates the config
        :return: None
        """
        # Initialize all modules

        persistence.init(self.config)

        # Set initial application state
        initial_state = self.config.get('initial_state')

        if initial_state:
            self.state = State[initial_state.upper()]
        else:
            self.state = State.STOPPED

    def cleanup(self) -> None:
        """
        Cleanup pending resources on an already stopped bot
        :return: None
        """
        logger.info('Cleaning up modules ...')
        self.rpc.cleanup()
        persistence.cleanup()

    def worker(self, old_state: 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
        """
        # Log state transition
        state = self.state
        if state != old_state:
            self.rpc.send_msg({
                'type': RPCMessageType.STATUS_NOTIFICATION,
                'status': f'{state.name.lower()}'
            })
            logger.info('Changing state to: %s', state.name)
            if state == State.RUNNING:
                self.rpc.startup_messages(self.config, self.pairlists)

        if state == State.STOPPED:
            time.sleep(1)
        elif state == State.RUNNING:
            min_secs = self.config.get('internals',
                                       {}).get('process_throttle_secs',
                                               constants.PROCESS_THROTTLE_SECS)

            self._throttle(func=self._process, min_secs=min_secs)
        return 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)
        logger.debug('Throttling %s for %.2f seconds', func.__name__, duration)
        time.sleep(duration)
        return result

    def _process(self) -> bool:
        """
        Queries the persistence layer for open trades and handles them,
        otherwise a new trade is created.
        :return: True if one or more trades has been created or closed, False otherwise
        """
        state_changed = False
        try:
            # Refresh whitelist
            self.pairlists.refresh_pairlist()
            self.active_pair_whitelist = self.pairlists.whitelist

            # Calculating Edge positiong
            # Should be called before refresh_tickers
            # Otherwise it will override cached klines in exchange
            # with delta value (klines only from last refresh_pairs)
            if self.edge:
                self.edge.calculate()
                self.active_pair_whitelist = self.edge.adjust(
                    self.active_pair_whitelist)

            # Query trades from persistence layer
            trades = Trade.query.filter(Trade.is_open.is_(True)).all()

            # Extend active-pair whitelist with pairs from open trades
            # ensures that tickers are downloaded for open trades
            self.active_pair_whitelist.extend([
                trade.pair for trade in trades
                if trade.pair not in self.active_pair_whitelist
            ])

            # Refreshing candles
            self.exchange.refresh_tickers(self.active_pair_whitelist,
                                          self.strategy.ticker_interval)

            # First process current opened trades
            for trade in trades:
                state_changed |= self.process_maybe_execute_sell(trade)

            # Then looking for buy opportunities
            if len(trades) < self.config['max_open_trades']:
                state_changed = self.process_maybe_execute_buy()

            if 'unfilledtimeout' in self.config:
                # Check and handle any timed out open orders
                self.check_handle_timedout()
                Trade.session.flush()

        except TemporaryError as error:
            logger.warning('%s, retrying in 30 seconds...', error)
            time.sleep(constants.RETRY_TIMEOUT)
        except OperationalException:
            tb = traceback.format_exc()
            hint = 'Issue `/start` if you think it is safe to restart.'
            self.rpc.send_msg({
                'type':
                RPCMessageType.STATUS_NOTIFICATION,
                'status':
                f'OperationalException:\n```\n{tb}```{hint}'
            })
            logger.exception('OperationalException. Stopping trader ...')
            self.state = State.STOPPED
        return state_changed

    def get_target_bid(self, pair: str, 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']:
            ticker_rate = ticker['ask']
        else:
            balance = self.config['bid_strategy']['ask_last_balance']
            ticker_rate = ticker['ask'] + balance * (ticker['last'] -
                                                     ticker['ask'])

        used_rate = ticker_rate
        config_bid_strategy = self.config.get('bid_strategy', {})
        if 'use_order_book' in config_bid_strategy and\
                config_bid_strategy.get('use_order_book', False):
            logger.info('Getting price from order book')
            order_book_top = config_bid_strategy.get('order_book_top', 1)
            order_book = self.exchange.get_order_book(pair, order_book_top)
            logger.debug('order_book %s', order_book)
            # top 1 = index 0
            order_book_rate = order_book['bids'][order_book_top - 1][0]
            # if ticker has lower rate, then use ticker ( usefull if down trending )
            logger.info('...top %s order book buy rate %0.8f', order_book_top,
                        order_book_rate)
            if ticker_rate < order_book_rate:
                logger.info('...using ticker rate instead %0.8f', ticker_rate)
                used_rate = ticker_rate
            else:
                used_rate = order_book_rate
        else:
            logger.info('Using Last Ask / Last Price')
            used_rate = ticker_rate

        return used_rate

    def _get_trade_stake_amount(self, pair) -> Optional[float]:
        """
        Check if stake amount can be fulfilled with the available balance
        for the stake currency
        :return: float: Stake Amount
        """
        if self.edge:
            return self.edge.stake_amount(
                pair, self.wallets.get_free(self.config['stake_currency']),
                self.wallets.get_total(self.config['stake_currency']),
                Trade.total_open_trades_stakes())
        else:
            stake_amount = self.config['stake_amount']

        avaliable_amount = self.wallets.get_free(self.config['stake_currency'])

        if stake_amount == constants.UNLIMITED_STAKE_AMOUNT:
            open_trades = len(
                Trade.query.filter(Trade.is_open.is_(True)).all())
            if open_trades >= self.config['max_open_trades']:
                logger.warning(
                    'Can\'t open a new trade: max number of trades is reached')
                return None
            return avaliable_amount / (self.config['max_open_trades'] -
                                       open_trades)

        # Check if stake_amount is fulfilled
        if avaliable_amount < stake_amount:
            raise DependencyException(
                'Available balance(%f %s) is lower than stake amount(%f %s)' %
                (avaliable_amount, self.config['stake_currency'], stake_amount,
                 self.config['stake_currency']))

        return stake_amount

    def _get_min_pair_stake_amount(self, pair: str,
                                   price: float) -> Optional[float]:
        markets = self.exchange.get_markets()
        markets = [m for m in markets if m['symbol'] == pair]
        if not markets:
            raise ValueError(
                f'Can\'t get market information for symbol {pair}')

        market = markets[0]

        if 'limits' not in market:
            return None

        min_stake_amounts = []
        limits = market['limits']
        if ('cost' in limits and 'min' in limits['cost']
                and limits['cost']['min'] is not None):
            min_stake_amounts.append(limits['cost']['min'])

        if ('amount' in limits and 'min' in limits['amount']
                and limits['amount']['min'] is not None):
            min_stake_amounts.append(limits['amount']['min'] * price)

        if not min_stake_amounts:
            return None

        amount_reserve_percent = 1 - 0.05  # reserve 5% + stoploss
        if self.strategy.stoploss is not None:
            amount_reserve_percent += self.strategy.stoploss
        # it should not be more than 50%
        amount_reserve_percent = max(amount_reserve_percent, 0.5)
        return min(min_stake_amounts) / amount_reserve_percent

    def create_trade(self) -> 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
        :return: True if a trade object has been created and persisted, False otherwise
        """
        interval = self.strategy.ticker_interval
        whitelist = copy.deepcopy(self.active_pair_whitelist)

        # 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)
                logger.debug('Ignoring %s in pair whitelist', trade.pair)

        if not whitelist:
            raise DependencyException('No currency pairs in whitelist')

        # running get_signal on historical data fetched
        for _pair in whitelist:
            (buy, sell) = self.strategy.get_signal(_pair, interval,
                                                   self.exchange.klines(_pair))
            if buy and not sell:
                stake_amount = self._get_trade_stake_amount(_pair)
                if not stake_amount:
                    return False

                logger.info(
                    'Buy signal found: about create a new trade with stake_amount: %f ...',
                    stake_amount)

                bidstrat_check_depth_of_market = self.config.get('bid_strategy', {}).\
                    get('check_depth_of_market', {})
                if (bidstrat_check_depth_of_market.get('enabled', False)) and\
                        (bidstrat_check_depth_of_market.get('bids_to_ask_delta', 0) > 0):
                    if self._check_depth_of_market_buy(
                            _pair, bidstrat_check_depth_of_market):
                        return self.execute_buy(_pair, stake_amount)
                    else:
                        return False
                return self.execute_buy(_pair, stake_amount)

        return False

    def _check_depth_of_market_buy(self, pair: str, conf: Dict) -> bool:
        """
        Checks depth of market before executing a buy
        """
        conf_bids_to_ask_delta = conf.get('bids_to_ask_delta', 0)
        logger.info('checking depth of market for %s', pair)
        order_book = self.exchange.get_order_book(pair, 1000)
        order_book_data_frame = order_book_to_dataframe(
            order_book['bids'], order_book['asks'])
        order_book_bids = order_book_data_frame['b_size'].sum()
        order_book_asks = order_book_data_frame['a_size'].sum()
        bids_ask_delta = order_book_bids / order_book_asks
        logger.info('bids: %s, asks: %s, delta: %s', order_book_bids,
                    order_book_asks, bids_ask_delta)
        if bids_ask_delta >= conf_bids_to_ask_delta:
            return True
        return False

    def execute_buy(self,
                    pair: str,
                    stake_amount: float,
                    price: Optional[float] = None) -> bool:
        """
        Executes a limit buy for the given pair
        :param pair: pair for which we want to create a LIMIT_BUY
        :return: None
        """
        pair_s = pair.replace('_', '/')
        pair_url = self.exchange.get_pair_detail_url(pair)
        stake_currency = self.config['stake_currency']
        fiat_currency = self.config.get('fiat_display_currency', None)
        time_in_force = self.strategy.order_time_in_force['buy']

        if price:
            buy_limit_requested = price
        else:
            # Calculate amount
            buy_limit_requested = self.get_target_bid(
                pair, self.exchange.get_ticker(pair))

        min_stake_amount = self._get_min_pair_stake_amount(
            pair_s, buy_limit_requested)
        if min_stake_amount is not None and min_stake_amount > stake_amount:
            logger.warning(
                f'Can\'t open a new trade for {pair_s}: stake amount'
                f' is too small ({stake_amount} < {min_stake_amount})')
            return False

        amount = stake_amount / buy_limit_requested

        order = self.exchange.buy(pair=pair,
                                  ordertype=self.strategy.order_types['buy'],
                                  amount=amount,
                                  rate=buy_limit_requested,
                                  time_in_force=time_in_force)
        order_id = order['id']
        order_status = order.get('status', None)

        # we assume the order is executed at the price requested
        buy_limit_filled_price = buy_limit_requested

        if order_status == 'expired' or order_status == 'rejected':
            order_type = self.strategy.order_types['buy']
            order_tif = self.strategy.order_time_in_force['buy']

            # return false if the order is not filled
            if float(order['filled']) == 0:
                logger.warning(
                    'Buy %s order with time in force %s for %s is %s by %s.'
                    ' zero amount is fulfilled.', order_tif, order_type,
                    pair_s, order_status, self.exchange.name)
                return False
            else:
                # the order is partially fulfilled
                # in case of IOC orders we can check immediately
                # if the order is fulfilled fully or partially
                logger.warning(
                    'Buy %s order with time in force %s for %s is %s by %s.'
                    ' %s amount fulfilled out of %s (%s remaining which is canceled).',
                    order_tif, order_type, pair_s, order_status,
                    self.exchange.name, order['filled'], order['amount'],
                    order['remaining'])
                stake_amount = order['cost']
                amount = order['amount']
                buy_limit_filled_price = order['price']
                order_id = None

        # in case of FOK the order may be filled immediately and fully
        elif order_status == 'closed':
            stake_amount = order['cost']
            amount = order['amount']
            buy_limit_filled_price = order['price']
            order_id = None

        self.rpc.send_msg({
            'type': RPCMessageType.BUY_NOTIFICATION,
            'exchange': self.exchange.name.capitalize(),
            'pair': pair_s,
            'market_url': pair_url,
            'limit': buy_limit_filled_price,
            'stake_amount': stake_amount,
            'stake_currency': stake_currency,
            'fiat_currency': fiat_currency
        })

        # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
        fee = self.exchange.get_fee(symbol=pair, taker_or_maker='maker')
        trade = Trade(pair=pair,
                      stake_amount=stake_amount,
                      amount=amount,
                      fee_open=fee,
                      fee_close=fee,
                      open_rate=buy_limit_filled_price,
                      open_rate_requested=buy_limit_requested,
                      open_date=datetime.utcnow(),
                      exchange=self.exchange.id,
                      open_order_id=order_id,
                      strategy=self.strategy.get_strategy_name(),
                      ticker_interval=constants.TICKER_INTERVAL_MINUTES[
                          self.config['ticker_interval']])

        Trade.session.add(trade)
        Trade.session.flush()

        # Updating wallets
        self.wallets.update()

        return True

    def process_maybe_execute_buy(self) -> 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():
                return True

            logger.info(
                'Found no buy signals for whitelisted currencies. Trying again..'
            )
            return False
        except DependencyException as exception:
            logger.warning('Unable to create trade: %s', exception)
            return False

    def process_maybe_execute_sell(self, trade: Trade) -> bool:
        """
        Tries to execute a sell trade
        :return: True if executed
        """
        try:
            # Get order details for actual price per unit
            if trade.open_order_id:
                # Update trade with order values
                logger.info('Found open order for %s', trade)
                order = self.exchange.get_order(trade.open_order_id,
                                                trade.pair)
                # Try update amount (binance-fix)
                try:
                    new_amount = self.get_real_amount(trade, order)
                    if order['amount'] != new_amount:
                        order['amount'] = new_amount
                        # Fee was applied, so set to 0
                        trade.fee_open = 0

                except OperationalException as exception:
                    logger.warning("could not update trade amount: %s",
                                   exception)

                trade.update(order)

            if self.strategy.order_types.get(
                    'stoploss_on_exchange') and trade.is_open:
                result = self.handle_stoploss_on_exchange(trade)
                if result:
                    self.wallets.update()
                    return result

            if trade.is_open and trade.open_order_id is None:
                # Check if we can sell our current pair
                result = self.handle_trade(trade)

                # Updating wallets if any trade occured
                if result:
                    self.wallets.update()

                return result

        except DependencyException as exception:
            logger.warning('Unable to sell trade: %s', exception)
        return False

    def get_real_amount(self, trade: Trade, order: Dict) -> float:
        """
        Get real amount for the trade
        Necessary for self.exchanges which charge fees in base currency (e.g. binance)
        """
        order_amount = order['amount']
        # Only run for closed orders
        if trade.fee_open == 0 or order['status'] == 'open':
            return order_amount

        # use fee from order-dict if possible
        if 'fee' in order and order['fee'] and (order['fee'].keys() >=
                                                {'currency', 'cost'}):
            if trade.pair.startswith(order['fee']['currency']):
                new_amount = order_amount - order['fee']['cost']
                logger.info(
                    "Applying fee on amount for %s (from %s to %s) from Order",
                    trade, order['amount'], new_amount)
                return new_amount

        # Fallback to Trades
        trades = self.exchange.get_trades_for_order(trade.open_order_id,
                                                    trade.pair,
                                                    trade.open_date)

        if len(trades) == 0:
            logger.info(
                "Applying fee on amount for %s failed: myTrade-Dict empty found",
                trade)
            return order_amount
        amount = 0
        fee_abs = 0
        for exectrade in trades:
            amount += exectrade['amount']
            if "fee" in exectrade and (exectrade['fee'].keys() >=
                                       {'currency', 'cost'}):
                # only applies if fee is in quote currency!
                if trade.pair.startswith(exectrade['fee']['currency']):
                    fee_abs += exectrade['fee']['cost']

        if amount != order_amount:
            logger.warning(
                f"amount {amount} does not match amount {trade.amount}")
            raise OperationalException("Half bought? Amounts don't match")
        real_amount = amount - fee_abs
        if fee_abs != 0:
            logger.info(f"""Applying fee on amount for {trade} \
(from {order_amount} to {real_amount}) from Trades""")
        return real_amount

    def handle_trade(self, trade: Trade) -> 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(f'attempt to handle closed trade: {trade}')

        logger.debug('Handling %s ...', trade)
        sell_rate = self.exchange.get_ticker(trade.pair)['bid']

        (buy, sell) = (False, False)
        experimental = self.config.get('experimental', {})
        if experimental.get('use_sell_signal') or experimental.get(
                'ignore_roi_if_buy_signal'):
            (buy,
             sell) = self.strategy.get_signal(trade.pair,
                                              self.strategy.ticker_interval,
                                              self.exchange.klines(trade.pair))

        config_ask_strategy = self.config.get('ask_strategy', {})
        if config_ask_strategy.get('use_order_book', False):
            logger.info('Using order book for selling...')
            # logger.debug('Order book %s',orderBook)
            order_book_min = config_ask_strategy.get('order_book_min', 1)
            order_book_max = config_ask_strategy.get('order_book_max', 1)

            order_book = self.exchange.get_order_book(trade.pair,
                                                      order_book_max)

            for i in range(order_book_min, order_book_max + 1):
                order_book_rate = order_book['asks'][i - 1][0]

                # if orderbook has higher rate (high profit),
                # use orderbook, otherwise just use bids rate
                logger.info('  order book asks top %s: %0.8f', i,
                            order_book_rate)
                if sell_rate < order_book_rate:
                    sell_rate = order_book_rate

                if self.check_sell(trade, sell_rate, buy, sell):
                    return True
                    break
        else:
            logger.debug('checking sell')
            if self.check_sell(trade, sell_rate, buy, sell):
                return True

        logger.debug('Found no sell signal for %s.', trade)
        return False

    def handle_stoploss_on_exchange(self, trade: Trade) -> bool:
        """
        Check if trade is fulfilled in which case the stoploss
        on exchange should be added immediately if stoploss on exchnage
        is enabled.
        """

        result = False

        # If trade is open and the buy order is fulfilled but there is no stoploss,
        # then we add a stoploss on exchange
        if not trade.open_order_id and not trade.stoploss_order_id:
            if self.edge:
                stoploss = self.edge.stoploss(pair=trade.pair)
            else:
                stoploss = self.strategy.stoploss

            stop_price = trade.open_rate * (1 + stoploss)

            # limit price should be less than stop price.
            # 0.98 is arbitrary here.
            limit_price = stop_price * 0.98

            stoploss_order_id = self.exchange.stoploss_limit(
                pair=trade.pair,
                amount=trade.amount,
                stop_price=stop_price,
                rate=limit_price)['id']
            trade.stoploss_order_id = str(stoploss_order_id)

        # Or the trade open and there is already a stoploss on exchange.
        # so we check if it is hit ...
        elif trade.stoploss_order_id:
            logger.debug('Handling stoploss on exchange %s ...', trade)
            order = self.exchange.get_order(trade.stoploss_order_id,
                                            trade.pair)
            if order['status'] == 'closed':
                trade.sell_reason = SellType.STOPLOSS_ON_EXCHANGE.value
                trade.update(order)
                result = True
            else:
                result = False
        return result

    def check_sell(self, trade: Trade, sell_rate: float, buy: bool,
                   sell: bool) -> bool:
        if self.edge:
            stoploss = self.edge.stoploss(trade.pair)
            should_sell = self.strategy.should_sell(trade,
                                                    sell_rate,
                                                    datetime.utcnow(),
                                                    buy,
                                                    sell,
                                                    force_stoploss=stoploss)
        else:
            should_sell = self.strategy.should_sell(trade, sell_rate,
                                                    datetime.utcnow(), buy,
                                                    sell)

        if should_sell.sell_flag:
            self.execute_sell(trade, sell_rate, should_sell.sell_type)
            logger.info('executed sell, reason: %s', should_sell.sell_type)
            return True
        return False

    def check_handle_timedout(self) -> 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
        """
        buy_timeout = self.config['unfilledtimeout']['buy']
        sell_timeout = self.config['unfilledtimeout']['sell']
        buy_timeoutthreashold = arrow.utcnow().shift(
            minutes=-buy_timeout).datetime
        sell_timeoutthreashold = arrow.utcnow().shift(
            minutes=-sell_timeout).datetime

        for trade in Trade.query.filter(Trade.open_order_id.isnot(None)).all():
            try:
                # FIXME: Somehow the query above returns results
                # where the open_order_id is in fact None.
                # This is probably because the record got
                # updated via /forcesell in a different thread.
                if not trade.open_order_id:
                    continue
                order = self.exchange.get_order(trade.open_order_id,
                                                trade.pair)
            except (RequestException, DependencyException):
                logger.info('Cannot query order for %s due to %s', trade,
                            traceback.format_exc())
                continue
            ordertime = arrow.get(order['datetime']).datetime

            # Check if trade is still actually open
            if float(order['remaining']) == 0.0:
                self.wallets.update()
                continue

            # Check if trade is still actually open
            if order['status'] == 'open':
                if order['side'] == 'buy' and ordertime < buy_timeoutthreashold:
                    self.handle_timedout_limit_buy(trade, order)
                    self.wallets.update()
                elif order[
                        'side'] == 'sell' and ordertime < sell_timeoutthreashold:
                    self.handle_timedout_limit_sell(trade, order)
                    self.wallets.update()

    # 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
        """
        pair_s = trade.pair.replace('_', '/')
        self.exchange.cancel_order(trade.open_order_id, trade.pair)
        if order['remaining'] == order['amount']:
            # if trade is not partially completed, just delete the trade
            Trade.session.delete(trade)
            Trade.session.flush()
            logger.info('Buy order timeout for %s.', trade)
            self.rpc.send_msg({
                'type':
                RPCMessageType.STATUS_NOTIFICATION,
                'status':
                f'Unfilled buy order for {pair_s} cancelled due to timeout'
            })
            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
        logger.info('Partial buy order timeout for %s.', trade)
        self.rpc.send_msg({
            'type':
            RPCMessageType.STATUS_NOTIFICATION,
            'status':
            f'Remaining buy order for {pair_s} cancelled due to timeout'
        })
        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
        """
        pair_s = trade.pair.replace('_', '/')
        if order['remaining'] == order['amount']:
            # if trade is not partially completed, just cancel the trade
            self.exchange.cancel_order(trade.open_order_id, trade.pair)
            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({
                'type':
                RPCMessageType.STATUS_NOTIFICATION,
                'status':
                f'Unfilled sell order for {pair_s} cancelled due to timeout'
            })
            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,
                     sell_reason: SellType) -> None:
        """
        Executes a limit sell for the given trade and limit
        :param trade: Trade instance
        :param limit: limit rate for the sell order
        :param sellreason: Reason the sell was triggered
        :return: None
        """
        sell_type = 'sell'
        if sell_reason in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):
            sell_type = 'stoploss'

        # if stoploss is on exchange and we are on dry_run mode,
        # we consider the sell price stop price
        if self.config.get('dry_run', False) and sell_type == 'stoploss' \
           and self.strategy.order_types['stoploss_on_exchange']:
            limit = trade.stop_loss

        # First cancelling stoploss on exchange ...
        if self.strategy.order_types.get(
                'stoploss_on_exchange') and trade.stoploss_order_id:
            self.exchange.cancel_order(trade.stoploss_order_id, trade.pair)

        # Execute sell and update trade record
        order_id = self.exchange.sell(
            pair=str(trade.pair),
            ordertype=self.strategy.order_types[sell_type],
            amount=trade.amount,
            rate=limit,
            time_in_force=self.strategy.order_time_in_force['sell'])['id']

        trade.open_order_id = order_id
        trade.close_rate_requested = limit
        trade.sell_reason = sell_reason.value

        profit_trade = trade.calc_profit(rate=limit)
        current_rate = self.exchange.get_ticker(trade.pair)['bid']
        profit_percent = trade.calc_profit_percent(limit)
        pair_url = self.exchange.get_pair_detail_url(trade.pair)
        gain = "profit" if profit_percent > 0 else "loss"

        msg = {
            'type': RPCMessageType.SELL_NOTIFICATION,
            'exchange': trade.exchange.capitalize(),
            'pair': trade.pair,
            'gain': gain,
            'market_url': pair_url,
            'limit': limit,
            'amount': trade.amount,
            'open_rate': trade.open_rate,
            'current_rate': current_rate,
            'profit_amount': profit_trade,
            'profit_percent': profit_percent,
            'sell_reason': sell_reason.value
        }

        # For regular case, when the configuration exists
        if 'stake_currency' in self.config and 'fiat_display_currency' in self.config:
            stake_currency = self.config['stake_currency']
            fiat_currency = self.config['fiat_display_currency']
            msg.update({
                'stake_currency': stake_currency,
                'fiat_currency': fiat_currency,
            })

        # Send the message
        self.rpc.send_msg(msg)
        Trade.session.flush()
Exemplo n.º 4
0
class FreqtradeBot:
    """
    Freqtrade is the main class of the bot.
    This is from here the bot start its logic.
    """
    def __init__(self, config: Dict[str, Any]) -> None:
        """
        Init all variables and objects the bot needs to work
        :param config: configuration dict, you can use Configuration.get_config()
        to get the config dict.
        """

        logger.info('Starting freqtrade %s', __version__)

        # Init bot state
        self.state = State.STOPPED

        # Init objects
        self.config = config

        self._heartbeat_msg = 0

        self.heartbeat_interval = self.config.get('internals', {}).get(
            'heartbeat_interval', 60)

        self.strategy: IStrategy = StrategyResolver.load_strategy(self.config)

        # Check config consistency here since strategies can set certain options
        validate_config_consistency(config)

        self.exchange = ExchangeResolver.load_exchange(
            self.config['exchange']['name'], self.config)

        persistence.init(self.config.get('db_url', None),
                         clean_open_orders=self.config['dry_run'])

        self.wallets = Wallets(self.config, self.exchange)

        self.dataprovider = DataProvider(self.config, self.exchange)

        # Attach Dataprovider to Strategy baseclass
        IStrategy.dp = self.dataprovider
        # Attach Wallets to Strategy baseclass
        IStrategy.wallets = self.wallets

        self.pairlists = PairListManager(self.exchange, self.config)

        # Initializing Edge only if enabled
        self.edge = Edge(self.config, self.exchange, self.strategy) if \
            self.config.get('edge', {}).get('enabled', False) else None

        self.active_pair_whitelist = self._refresh_whitelist()

        # Set initial bot state from config
        initial_state = self.config.get('initial_state')
        self.state = State[
            initial_state.upper()] if initial_state else State.STOPPED

        # RPC runs in separate threads, can start handling external commands just after
        # initialization, even before Freqtradebot has a chance to start its throttling,
        # so anything in the Freqtradebot instance should be ready (initialized), including
        # the initial state of the bot.
        # Keep this at the end of this initialization method.
        self.rpc: RPCManager = RPCManager(self)
        # Protect sell-logic from forcesell and viceversa
        self._sell_lock = Lock()

    def notify_status(self, msg: str) -> None:
        """
        Public method for users of this class (worker, etc.) to send notifications
        via RPC about changes in the bot status.
        """
        self.rpc.send_msg({
            'type': RPCMessageType.STATUS_NOTIFICATION,
            'status': msg
        })

    def cleanup(self) -> None:
        """
        Cleanup pending resources on an already stopped bot
        :return: None
        """
        logger.info('Cleaning up modules ...')

        self.rpc.cleanup()
        persistence.cleanup()

    def startup(self) -> None:
        """
        Called on startup and after reloading the bot - triggers notifications and
        performs startup tasks
        """
        self.rpc.startup_messages(self.config, self.pairlists)
        if not self.edge:
            # Adjust stoploss if it was changed
            Trade.stoploss_reinitialization(self.strategy.stoploss)

    def process(self) -> None:
        """
        Queries the persistence layer for open trades and handles them,
        otherwise a new trade is created.
        :return: True if one or more trades has been created or closed, False otherwise
        """

        # Check whether markets have to be reloaded
        self.exchange._reload_markets()

        # Query trades from persistence layer
        trades = Trade.get_open_trades()

        self.active_pair_whitelist = self._refresh_whitelist(trades)

        # Refreshing candles
        self.dataprovider.refresh(
            self._create_pair_whitelist(self.active_pair_whitelist),
            self.strategy.informative_pairs())

        # Protect from collisions with forcesell.
        # Without this, freqtrade my try to recreate stoploss_on_exchange orders
        # while selling is in process, since telegram messages arrive in an different thread.
        with self._sell_lock:
            # First process current opened trades (positions)
            self.exit_positions(trades)

        # Then looking for buy opportunities
        if self.get_free_open_trades():
            self.enter_positions()

        # Check and handle any timed out open orders
        self.check_handle_timedout()
        Trade.session.flush()

        if (self.heartbeat_interval
                and (arrow.utcnow().timestamp - self._heartbeat_msg >
                     self.heartbeat_interval)):
            logger.info(f"Bot heartbeat. PID={getpid()}")
            self._heartbeat_msg = arrow.utcnow().timestamp

    def _refresh_whitelist(self, trades: List[Trade] = []) -> List[str]:
        """
        Refresh whitelist from pairlist or edge and extend it with trades.
        """
        # Refresh whitelist
        self.pairlists.refresh_pairlist()
        _whitelist = self.pairlists.whitelist

        # Calculating Edge positioning
        if self.edge:
            self.edge.calculate()
            _whitelist = self.edge.adjust(_whitelist)

        if trades:
            # Extend active-pair whitelist with pairs from open trades
            # It ensures that tickers are downloaded for open trades
            _whitelist.extend([
                trade.pair for trade in trades if trade.pair not in _whitelist
            ])
        return _whitelist

    def _create_pair_whitelist(self,
                               pairs: List[str]) -> List[Tuple[str, str]]:
        """
        Create pair-whitelist tuple with (pair, ticker_interval)
        """
        return [(pair, self.config['ticker_interval']) for pair in pairs]

    def get_free_open_trades(self):
        """
        Return the number of free open trades slots or 0 if
        max number of open trades reached
        """
        open_trades = len(Trade.get_open_trades())
        return max(0, self.config['max_open_trades'] - open_trades)

#
# BUY / enter positions / open trades logic and methods
#

    def enter_positions(self) -> int:
        """
        Tries to execute buy orders for new trades (positions)
        """
        trades_created = 0

        whitelist = copy.deepcopy(self.active_pair_whitelist)
        if not whitelist:
            logger.info("Active pair whitelist is empty.")
        else:
            # Remove pairs for currently opened trades from the whitelist
            for trade in Trade.get_open_trades():
                if trade.pair in whitelist:
                    whitelist.remove(trade.pair)
                    logger.debug('Ignoring %s in pair whitelist', trade.pair)

            if not whitelist:
                logger.info("No currency pair in active pair whitelist, "
                            "but checking to sell open trades.")
            else:
                # Create entity and execute trade for each pair from whitelist
                for pair in whitelist:
                    try:
                        trades_created += self.create_trade(pair)
                    except DependencyException as exception:
                        logger.warning('Unable to create trade for %s: %s',
                                       pair, exception)

                if not trades_created:
                    logger.debug(
                        "Found no buy signals for whitelisted currencies. "
                        "Trying again...")

        return trades_created

    def get_buy_rate(self, pair: str, tick: Dict = None) -> float:
        """
        Calculates bid target between current ask price and last price
        :return: float: Price
        """
        config_bid_strategy = self.config.get('bid_strategy', {})
        if 'use_order_book' in config_bid_strategy and\
                config_bid_strategy.get('use_order_book', False):
            logger.info('Getting price from order book')
            order_book_top = config_bid_strategy.get('order_book_top', 1)
            order_book = self.exchange.get_order_book(pair, order_book_top)
            logger.debug('order_book %s', order_book)
            # top 1 = index 0
            order_book_rate = order_book['bids'][order_book_top - 1][0]
            logger.info('...top %s order book buy rate %0.8f', order_book_top,
                        order_book_rate)
            used_rate = order_book_rate
        else:
            if not tick:
                logger.info('Using Last Ask / Last Price')
                ticker = self.exchange.fetch_ticker(pair)
            else:
                ticker = tick
            if ticker['ask'] < ticker['last']:
                ticker_rate = ticker['ask']
            else:
                balance = self.config['bid_strategy']['ask_last_balance']
                ticker_rate = ticker['ask'] + balance * (ticker['last'] -
                                                         ticker['ask'])
            used_rate = ticker_rate

        return used_rate

    def get_trade_stake_amount(self, pair) -> float:
        """
        Calculate stake amount for the trade
        :return: float: Stake amount
        :raise: DependencyException if the available stake amount is too low
        """
        stake_amount: float
        # Ensure wallets are uptodate.
        self.wallets.update()

        if self.edge:
            stake_amount = self.edge.stake_amount(
                pair, self.wallets.get_free(self.config['stake_currency']),
                self.wallets.get_total(self.config['stake_currency']),
                Trade.total_open_trades_stakes())
        else:
            stake_amount = self.config['stake_amount']
            if stake_amount == constants.UNLIMITED_STAKE_AMOUNT:
                stake_amount = self._calculate_unlimited_stake_amount()

        return self._check_available_stake_amount(stake_amount)

    def _get_available_stake_amount(self) -> float:
        """
        Return the total currently available balance in stake currency,
        respecting tradable_balance_ratio.
        Calculated as
        <open_trade stakes> + free amount ) * tradable_balance_ratio - <open_trade stakes>
        """
        val_tied_up = Trade.total_open_trades_stakes()

        # Ensure <tradable_balance_ratio>% is used from the overall balance
        # Otherwise we'd risk lowering stakes with each open trade.
        # (tied up + current free) * ratio) - tied up
        available_amount = (
            (val_tied_up + self.wallets.get_free(self.config['stake_currency'])
             ) * self.config['tradable_balance_ratio']) - val_tied_up
        return available_amount

    def _calculate_unlimited_stake_amount(self) -> float:
        """
        Calculate stake amount for "unlimited" stake amount
        :return: 0 if max number of trades reached, else stake_amount to use.
        """
        free_open_trades = self.get_free_open_trades()
        if not free_open_trades:
            return 0

        available_amount = self._get_available_stake_amount()

        return available_amount / free_open_trades

    def _check_available_stake_amount(self, stake_amount: float) -> float:
        """
        Check if stake amount can be fulfilled with the available balance
        for the stake currency
        :return: float: Stake amount
        """
        available_amount = self._get_available_stake_amount()

        if self.config['amend_last_stake_amount']:
            # Remaining amount needs to be at least stake_amount * last_stake_amount_min_ratio
            # Otherwise the remaining amount is too low to trade.
            if available_amount > (stake_amount *
                                   self.config['last_stake_amount_min_ratio']):
                stake_amount = min(stake_amount, available_amount)
            else:
                stake_amount = 0

        if available_amount < stake_amount:
            raise DependencyException(
                f"Available balance ({available_amount} {self.config['stake_currency']}) is "
                f"lower than stake amount ({stake_amount} {self.config['stake_currency']})"
            )

        return stake_amount

    def _get_min_pair_stake_amount(self, pair: str,
                                   price: float) -> Optional[float]:
        try:
            market = self.exchange.markets[pair]
        except KeyError:
            raise ValueError(f"Can't get market information for symbol {pair}")

        if 'limits' not in market:
            return None

        min_stake_amounts = []
        limits = market['limits']
        if ('cost' in limits and 'min' in limits['cost']
                and limits['cost']['min'] is not None):
            min_stake_amounts.append(limits['cost']['min'])

        if ('amount' in limits and 'min' in limits['amount']
                and limits['amount']['min'] is not None):
            min_stake_amounts.append(limits['amount']['min'] * price)

        if not min_stake_amounts:
            return None

        # reserve some percent defined in config (5% default) + stoploss
        amount_reserve_percent = 1.0 - self.config.get(
            'amount_reserve_percent', constants.DEFAULT_AMOUNT_RESERVE_PERCENT)
        if self.strategy.stoploss is not None:
            amount_reserve_percent += self.strategy.stoploss
        # it should not be more than 50%
        amount_reserve_percent = max(amount_reserve_percent, 0.5)

        # The value returned should satisfy both limits: for amount (base currency) and
        # for cost (quote, stake currency), so max() is used here.
        # See also #2575 at github.
        return max(min_stake_amounts) / amount_reserve_percent

    def create_trade(self, pair: str) -> bool:
        """
        Check the implemented trading strategy for buy signals.

        If the pair triggers the buy signal a new trade record gets created
        and the buy-order opening the trade gets issued towards the exchange.

        :return: True if a trade has been created.
        """
        logger.debug(f"create_trade for pair {pair}")

        if self.strategy.is_pair_locked(pair):
            logger.info(f"Pair {pair} is currently locked.")
            return False

        # running get_signal on historical data fetched
        (buy, sell) = self.strategy.get_signal(
            pair, self.strategy.ticker_interval,
            self.dataprovider.ohlcv(pair, self.strategy.ticker_interval))

        if buy and not sell:
            if not self.get_free_open_trades():
                logger.debug(
                    "Can't open a new trade: max number of trades is reached.")
                return False

            stake_amount = self.get_trade_stake_amount(pair)
            if not stake_amount:
                logger.debug(
                    "Stake amount is 0, ignoring possible trade for {pair}.")
                return False

            logger.info(
                f"Buy signal found: about create a new trade with stake_amount: "
                f"{stake_amount} ...")

            bid_check_dom = self.config.get('bid_strategy',
                                            {}).get('check_depth_of_market',
                                                    {})
            if ((bid_check_dom.get('enabled', False))
                    and (bid_check_dom.get('bids_to_ask_delta', 0) > 0)):
                if self._check_depth_of_market_buy(pair, bid_check_dom):
                    return self.execute_buy(pair, stake_amount)
                else:
                    return False

            return self.execute_buy(pair, stake_amount)
        else:
            return False

    def _check_depth_of_market_buy(self, pair: str, conf: Dict) -> bool:
        """
        Checks depth of market before executing a buy
        """
        conf_bids_to_ask_delta = conf.get('bids_to_ask_delta', 0)
        logger.info('checking depth of market for %s', pair)
        order_book = self.exchange.get_order_book(pair, 1000)
        order_book_data_frame = order_book_to_dataframe(
            order_book['bids'], order_book['asks'])
        order_book_bids = order_book_data_frame['b_size'].sum()
        order_book_asks = order_book_data_frame['a_size'].sum()
        bids_ask_delta = order_book_bids / order_book_asks
        logger.info('bids: %s, asks: %s, delta: %s', order_book_bids,
                    order_book_asks, bids_ask_delta)
        if bids_ask_delta >= conf_bids_to_ask_delta:
            return True
        return False

    def execute_buy(self,
                    pair: str,
                    stake_amount: float,
                    price: Optional[float] = None) -> bool:
        """
        Executes a limit buy for the given pair
        :param pair: pair for which we want to create a LIMIT_BUY
        :return: None
        """
        time_in_force = self.strategy.order_time_in_force['buy']

        if price:
            buy_limit_requested = price
        else:
            # Calculate price
            buy_limit_requested = self.get_buy_rate(pair)

        min_stake_amount = self._get_min_pair_stake_amount(
            pair, buy_limit_requested)
        if min_stake_amount is not None and min_stake_amount > stake_amount:
            logger.warning(
                f"Can't open a new trade for {pair}: stake amount "
                f"is too small ({stake_amount} < {min_stake_amount})")
            return False

        amount = stake_amount / buy_limit_requested
        order_type = self.strategy.order_types['buy']
        order = self.exchange.buy(pair=pair,
                                  ordertype=order_type,
                                  amount=amount,
                                  rate=buy_limit_requested,
                                  time_in_force=time_in_force)
        order_id = order['id']
        order_status = order.get('status', None)

        # we assume the order is executed at the price requested
        buy_limit_filled_price = buy_limit_requested

        if order_status == 'expired' or order_status == 'rejected':
            order_tif = self.strategy.order_time_in_force['buy']

            # return false if the order is not filled
            if float(order['filled']) == 0:
                logger.warning(
                    'Buy %s order with time in force %s for %s is %s by %s.'
                    ' zero amount is fulfilled.', order_tif, order_type, pair,
                    order_status, self.exchange.name)
                return False
            else:
                # the order is partially fulfilled
                # in case of IOC orders we can check immediately
                # if the order is fulfilled fully or partially
                logger.warning(
                    'Buy %s order with time in force %s for %s is %s by %s.'
                    ' %s amount fulfilled out of %s (%s remaining which is canceled).',
                    order_tif, order_type, pair, order_status,
                    self.exchange.name, order['filled'], order['amount'],
                    order['remaining'])
                stake_amount = order['cost']
                amount = order['amount']
                buy_limit_filled_price = order['price']
                order_id = None

        # in case of FOK the order may be filled immediately and fully
        elif order_status == 'closed':
            stake_amount = order['cost']
            amount = order['amount']
            buy_limit_filled_price = order['price']

        # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
        fee = self.exchange.get_fee(symbol=pair, taker_or_maker='maker')
        trade = Trade(pair=pair,
                      stake_amount=stake_amount,
                      amount=amount,
                      fee_open=fee,
                      fee_close=fee,
                      open_rate=buy_limit_filled_price,
                      open_rate_requested=buy_limit_requested,
                      open_date=datetime.utcnow(),
                      exchange=self.exchange.id,
                      open_order_id=order_id,
                      strategy=self.strategy.get_strategy_name(),
                      ticker_interval=timeframe_to_minutes(
                          self.config['ticker_interval']))

        self._notify_buy(trade, order_type)

        # Update fees if order is closed
        if order_status == 'closed':
            self.update_trade_state(trade, order)

        Trade.session.add(trade)
        Trade.session.flush()

        # Updating wallets
        self.wallets.update()

        return True

    def _notify_buy(self, trade: Trade, order_type: str):
        """
        Sends rpc notification when a buy occured.
        """
        msg = {
            'type': RPCMessageType.BUY_NOTIFICATION,
            'exchange': self.exchange.name.capitalize(),
            'pair': trade.pair,
            'limit': trade.open_rate,
            'order_type': order_type,
            'stake_amount': trade.stake_amount,
            'stake_currency': self.config['stake_currency'],
            'fiat_currency': self.config.get('fiat_display_currency', None),
        }

        # Send the message
        self.rpc.send_msg(msg)

#
# SELL / exit positions / close trades logic and methods
#

    def exit_positions(self, trades: List[Any]) -> int:
        """
        Tries to execute sell orders for open trades (positions)
        """
        trades_closed = 0
        for trade in trades:
            try:
                self.update_trade_state(trade)

                if (self.strategy.order_types.get('stoploss_on_exchange')
                        and self.handle_stoploss_on_exchange(trade)):
                    trades_closed += 1
                    continue
                # Check if we can sell our current pair
                if trade.open_order_id is None and self.handle_trade(trade):
                    trades_closed += 1

            except DependencyException as exception:
                logger.warning('Unable to sell trade: %s', exception)

        # Updating wallets if any trade occured
        if trades_closed:
            self.wallets.update()

        return trades_closed

    def get_sell_rate(self, pair: str, refresh: bool) -> float:
        """
        Get sell rate - either using get-ticker bid or first bid based on orderbook
        The orderbook portion is only used for rpc messaging, which would otherwise fail
        for BitMex (has no bid/ask in fetch_ticker)
        or remain static in any other case since it's not updating.
        :return: Bid rate
        """
        config_ask_strategy = self.config.get('ask_strategy', {})
        if config_ask_strategy.get('use_order_book', False):
            logger.debug('Using order book to get sell rate')

            order_book = self.exchange.get_order_book(pair, 1)
            rate = order_book['bids'][0][0]

        else:
            rate = self.exchange.fetch_ticker(pair, refresh)['bid']
        return rate

    def handle_trade(self, trade: Trade) -> 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 DependencyException(
                f'Attempt to handle closed trade: {trade}')

        logger.debug('Handling %s ...', trade)

        (buy, sell) = (False, False)

        config_ask_strategy = self.config.get('ask_strategy', {})

        if (config_ask_strategy.get('use_sell_signal', True)
                or config_ask_strategy.get('ignore_roi_if_buy_signal')):
            (buy, sell) = self.strategy.get_signal(
                trade.pair, self.strategy.ticker_interval,
                self.dataprovider.ohlcv(trade.pair,
                                        self.strategy.ticker_interval))

        if config_ask_strategy.get('use_order_book', False):
            logger.info('Using order book for selling...')
            # logger.debug('Order book %s',orderBook)
            order_book_min = config_ask_strategy.get('order_book_min', 1)
            order_book_max = config_ask_strategy.get('order_book_max', 1)

            order_book = self.exchange.get_order_book(trade.pair,
                                                      order_book_max)

            for i in range(order_book_min, order_book_max + 1):
                order_book_rate = order_book['asks'][i - 1][0]
                logger.info('  order book asks top %s: %0.8f', i,
                            order_book_rate)
                sell_rate = order_book_rate

                if self._check_and_execute_sell(trade, sell_rate, buy, sell):
                    return True

        else:
            logger.debug('checking sell')
            sell_rate = self.get_sell_rate(trade.pair, True)
            if self._check_and_execute_sell(trade, sell_rate, buy, sell):
                return True

        logger.debug('Found no sell signal for %s.', trade)
        return False

    def create_stoploss_order(self, trade: Trade, stop_price: float,
                              rate: float) -> bool:
        """
        Abstracts creating stoploss orders from the logic.
        Handles errors and updates the trade database object.
        Force-sells the pair (using EmergencySell reason) in case of Problems creating the order.
        :return: True if the order succeeded, and False in case of problems.
        """
        # Limit price threshold: As limit price should always be below stop-price
        LIMIT_PRICE_PCT = self.strategy.order_types.get(
            'stoploss_on_exchange_limit_ratio', 0.99)

        try:
            stoploss_order = self.exchange.stoploss_limit(
                pair=trade.pair,
                amount=trade.amount,
                stop_price=stop_price,
                rate=rate * LIMIT_PRICE_PCT)
            trade.stoploss_order_id = str(stoploss_order['id'])
            return True
        except InvalidOrderException as e:
            trade.stoploss_order_id = None
            logger.error(f'Unable to place a stoploss order on exchange. {e}')
            logger.warning('Selling the trade forcefully')
            self.execute_sell(trade,
                              trade.stop_loss,
                              sell_reason=SellType.EMERGENCY_SELL)

        except DependencyException:
            trade.stoploss_order_id = None
            logger.exception('Unable to place a stoploss order on exchange.')
        return False

    def handle_stoploss_on_exchange(self, trade: Trade) -> bool:
        """
        Check if trade is fulfilled in which case the stoploss
        on exchange should be added immediately if stoploss on exchange
        is enabled.
        """

        logger.debug('Handling stoploss on exchange %s ...', trade)

        stoploss_order = None

        try:
            # First we check if there is already a stoploss on exchange
            stoploss_order = self.exchange.get_order(trade.stoploss_order_id, trade.pair) \
                if trade.stoploss_order_id else None
        except InvalidOrderException as exception:
            logger.warning('Unable to fetch stoploss order: %s', exception)

        # If buy order is fulfilled but there is no stoploss, we add a stoploss on exchange
        if (not trade.open_order_id and not stoploss_order):

            stoploss = self.edge.stoploss(
                pair=trade.pair) if self.edge else self.strategy.stoploss

            stop_price = trade.open_rate * (1 + stoploss)

            if self.create_stoploss_order(trade=trade,
                                          stop_price=stop_price,
                                          rate=stop_price):
                trade.stoploss_last_update = datetime.now()
                return False

        # If stoploss order is canceled for some reason we add it
        if stoploss_order and stoploss_order['status'] == 'canceled':
            if self.create_stoploss_order(trade=trade,
                                          stop_price=trade.stop_loss,
                                          rate=trade.stop_loss):
                return False
            else:
                trade.stoploss_order_id = None
                logger.warning(
                    'Stoploss order was cancelled, but unable to recreate one.'
                )

        # We check if stoploss order is fulfilled
        if stoploss_order and stoploss_order['status'] == 'closed':
            trade.sell_reason = SellType.STOPLOSS_ON_EXCHANGE.value
            trade.update(stoploss_order)
            # Lock pair for one candle to prevent immediate rebuys
            self.strategy.lock_pair(
                trade.pair,
                timeframe_to_next_date(self.config['ticker_interval']))
            self._notify_sell(trade, "stoploss")
            return True

        # Finally we check if stoploss on exchange should be moved up because of trailing.
        if stoploss_order and self.config.get('trailing_stop', False):
            # if trailing stoploss is enabled we check if stoploss value has changed
            # in which case we cancel stoploss order and put another one with new
            # value immediately
            self.handle_trailing_stoploss_on_exchange(trade, stoploss_order)

        return False

    def handle_trailing_stoploss_on_exchange(self, trade: Trade, order):
        """
        Check to see if stoploss on exchange should be updated
        in case of trailing stoploss on exchange
        :param Trade: Corresponding Trade
        :param order: Current on exchange stoploss order
        :return: None
        """

        if trade.stop_loss > float(order['info']['stopPrice']):
            # we check if the update is neccesary
            update_beat = self.strategy.order_types.get(
                'stoploss_on_exchange_interval', 60)
            if (datetime.utcnow() -
                    trade.stoploss_last_update).total_seconds() >= update_beat:
                # cancelling the current stoploss on exchange first
                logger.info(
                    'Trailing stoploss: cancelling current stoploss on exchange (id:{%s})'
                    'in order to add another one ...', order['id'])
                try:
                    self.exchange.cancel_order(order['id'], trade.pair)
                except InvalidOrderException:
                    logger.exception(
                        f"Could not cancel stoploss order {order['id']} "
                        f"for pair {trade.pair}")

                # Create new stoploss order
                if self.create_stoploss_order(trade=trade,
                                              stop_price=trade.stop_loss,
                                              rate=trade.stop_loss):
                    return False
                else:
                    logger.warning(f"Could not create trailing stoploss order "
                                   f"for pair {trade.pair}.")

    def _check_and_execute_sell(self, trade: Trade, sell_rate: float,
                                buy: bool, sell: bool) -> bool:
        """
        Check and execute sell
        """
        should_sell = self.strategy.should_sell(
            trade,
            sell_rate,
            datetime.utcnow(),
            buy,
            sell,
            force_stoploss=self.edge.stoploss(trade.pair) if self.edge else 0)

        if should_sell.sell_flag:
            self.execute_sell(trade, sell_rate, should_sell.sell_type)
            logger.info('executed sell, reason: %s', should_sell.sell_type)
            return True
        return False

    def _check_timed_out(self, side: str, order: dict) -> bool:
        """
        Check if timeout is active, and if the order is still open and timed out
        """
        timeout = self.config.get('unfilledtimeout', {}).get(side)
        ordertime = arrow.get(order['datetime']).datetime
        if timeout is not None:
            timeout_threshold = arrow.utcnow().shift(minutes=-timeout).datetime

            return (order['status'] == 'open' and order['side'] == side
                    and ordertime < timeout_threshold)
        return False

    def check_handle_timedout(self) -> 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
        """

        for trade in Trade.get_open_order_trades():
            try:
                if not trade.open_order_id:
                    continue
                order = self.exchange.get_order(trade.open_order_id,
                                                trade.pair)
            except (RequestException, DependencyException,
                    InvalidOrderException):
                logger.info('Cannot query order for %s due to %s', trade,
                            traceback.format_exc())
                continue

            # Check if trade is still actually open
            if float(order.get('remaining', 0.0)) == 0.0:
                self.wallets.update()
                continue

            if ((order['side'] == 'buy' and order['status'] == 'canceled')
                    or (self._check_timed_out('buy', order))):

                self.handle_timedout_limit_buy(trade, order)
                self.wallets.update()

            elif ((order['side'] == 'sell' and order['status'] == 'canceled')
                  or (self._check_timed_out('sell', order))):
                self.handle_timedout_limit_sell(trade, order)
                self.wallets.update()

    def handle_buy_order_full_cancel(self, trade: Trade, reason: str) -> None:
        """Close trade in database and send message"""
        Trade.session.delete(trade)
        Trade.session.flush()
        logger.info('Buy order %s for %s.', reason, trade)
        self.rpc.send_msg({
            'type':
            RPCMessageType.STATUS_NOTIFICATION,
            'status':
            f'Unfilled buy order for {trade.pair} {reason}'
        })

    def handle_timedout_limit_buy(self, trade: Trade, order: Dict) -> bool:
        """
        Buy timeout - cancel order
        :return: True if order was fully cancelled
        """
        reason = "cancelled due to timeout"
        if order['status'] != 'canceled':
            corder = self.exchange.cancel_order(trade.open_order_id,
                                                trade.pair)
        else:
            # Order was cancelled already, so we can reuse the existing dict
            corder = order
            reason = "canceled on Exchange"

        if corder.get('remaining', order['remaining']) == order['amount']:
            # if trade is not partially completed, just delete the trade
            self.handle_buy_order_full_cancel(trade, reason)
            return True

        # if trade is partially complete, edit the stake details for the trade
        # and close the order
        # cancel_order may not contain the full order dict, so we need to fallback
        # to the order dict aquired before cancelling.
        # we need to fall back to the values from order if corder does not contain these keys.
        trade.amount = order['amount'] - corder.get('remaining',
                                                    order['remaining'])
        trade.stake_amount = trade.amount * trade.open_rate
        # verify if fees were taken from amount to avoid problems during selling
        try:
            new_amount = self.get_real_amount(
                trade, corder if 'fee' in corder else order, trade.amount)
            if not isclose(order['amount'],
                           new_amount,
                           abs_tol=constants.MATH_CLOSE_PREC):
                trade.amount = new_amount
                # Fee was applied, so set to 0
                trade.fee_open = 0
                trade.recalc_open_trade_price()
        except DependencyException as e:
            logger.warning("Could not update trade amount: %s", e)

        trade.open_order_id = None
        logger.info('Partial buy order timeout for %s.', trade)
        self.rpc.send_msg({
            'type':
            RPCMessageType.STATUS_NOTIFICATION,
            'status':
            f'Remaining buy order for {trade.pair} cancelled due to timeout'
        })
        return False

    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
            if order["status"] != "canceled":
                reason = "due to timeout"
                self.exchange.cancel_order(trade.open_order_id, trade.pair)
                logger.info('Sell order timeout for %s.', trade)
            else:
                reason = "on exchange"
                logger.info('Sell order canceled on exchange for %s.', trade)
            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({
                'type':
                RPCMessageType.STATUS_NOTIFICATION,
                'status':
                f'Unfilled sell order for {trade.pair} cancelled {reason}'
            })

            return True

        # TODO: figure out how to handle partially complete sell orders
        return False

    def _safe_sell_amount(self, pair: str, amount: float) -> float:
        """
        Get sellable amount.
        Should be trade.amount - but will fall back to the available amount if necessary.
        This should cover cases where get_real_amount() was not able to update the amount
        for whatever reason.
        :param pair: Pair we're trying to sell
        :param amount: amount we expect to be available
        :return: amount to sell
        :raise: DependencyException: if available balance is not within 2% of the available amount.
        """
        # Update wallets to ensure amounts tied up in a stoploss is now free!
        self.wallets.update()

        wallet_amount = self.wallets.get_free(pair.split('/')[0])
        logger.debug(
            f"{pair} - Wallet: {wallet_amount} - Trade-amount: {amount}")
        if wallet_amount >= amount:
            return amount
        elif wallet_amount > amount * 0.98:
            logger.info(f"{pair} - Falling back to wallet-amount.")
            return wallet_amount
        else:
            raise DependencyException(
                f"Not enough amount to sell. Trade-amount: {amount}, Wallet: {wallet_amount}"
            )

    def execute_sell(self, trade: Trade, limit: float,
                     sell_reason: SellType) -> None:
        """
        Executes a limit sell for the given trade and limit
        :param trade: Trade instance
        :param limit: limit rate for the sell order
        :param sellreason: Reason the sell was triggered
        :return: None
        """
        sell_type = 'sell'
        if sell_reason in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):
            sell_type = 'stoploss'

        # if stoploss is on exchange and we are on dry_run mode,
        # we consider the sell price stop price
        if self.config['dry_run'] and sell_type == 'stoploss' \
           and self.strategy.order_types['stoploss_on_exchange']:
            limit = trade.stop_loss

        # First cancelling stoploss on exchange ...
        if self.strategy.order_types.get(
                'stoploss_on_exchange') and trade.stoploss_order_id:
            try:
                self.exchange.cancel_order(trade.stoploss_order_id, trade.pair)
            except InvalidOrderException:
                logger.exception(
                    f"Could not cancel stoploss order {trade.stoploss_order_id}"
                )

        order_type = self.strategy.order_types[sell_type]
        if sell_reason == SellType.EMERGENCY_SELL:
            # Emergencysells (default to market!)
            order_type = self.strategy.order_types.get("emergencysell",
                                                       "market")

        amount = self._safe_sell_amount(trade.pair, trade.amount)

        # Execute sell and update trade record
        order = self.exchange.sell(
            pair=str(trade.pair),
            ordertype=order_type,
            amount=amount,
            rate=limit,
            time_in_force=self.strategy.order_time_in_force['sell'])

        trade.open_order_id = order['id']
        trade.close_rate_requested = limit
        trade.sell_reason = sell_reason.value
        # In case of market sell orders the order can be closed immediately
        if order.get('status', 'unknown') == 'closed':
            trade.update(order)
        Trade.session.flush()

        # Lock pair for one candle to prevent immediate rebuys
        self.strategy.lock_pair(
            trade.pair, timeframe_to_next_date(self.config['ticker_interval']))

        self._notify_sell(trade, order_type)

    def _notify_sell(self, trade: Trade, order_type: str):
        """
        Sends rpc notification when a sell occured.
        """
        profit_rate = trade.close_rate if trade.close_rate else trade.close_rate_requested
        profit_trade = trade.calc_profit(rate=profit_rate)
        # Use cached ticker here - it was updated seconds ago.
        current_rate = self.get_sell_rate(trade.pair, False)
        profit_percent = trade.calc_profit_ratio(profit_rate)
        gain = "profit" if profit_percent > 0 else "loss"

        msg = {
            'type': RPCMessageType.SELL_NOTIFICATION,
            'exchange': trade.exchange.capitalize(),
            'pair': trade.pair,
            'gain': gain,
            'limit': trade.close_rate_requested,
            'order_type': order_type,
            'amount': trade.amount,
            'open_rate': trade.open_rate,
            'current_rate': current_rate,
            'profit_amount': profit_trade,
            'profit_percent': profit_percent,
            'sell_reason': trade.sell_reason,
            'open_date': trade.open_date,
            'close_date': trade.close_date or datetime.utcnow(),
            'stake_currency': self.config['stake_currency'],
        }

        if 'fiat_display_currency' in self.config:
            msg.update({
                'fiat_currency': self.config['fiat_display_currency'],
            })

        # Send the message
        self.rpc.send_msg(msg)

#
# Common update trade state methods
#

    def update_trade_state(self, trade, action_order: dict = None):
        """
        Checks trades with open orders and updates the amount if necessary
        """
        # Get order details for actual price per unit
        if trade.open_order_id:
            # Update trade with order values
            logger.info('Found open order for %s', trade)
            try:
                order = action_order or self.exchange.get_order(
                    trade.open_order_id, trade.pair)
            except InvalidOrderException as exception:
                logger.warning('Unable to fetch order %s: %s',
                               trade.open_order_id, exception)
                return
            # Try update amount (binance-fix)
            try:
                new_amount = self.get_real_amount(trade, order)
                if not isclose(order['amount'],
                               new_amount,
                               abs_tol=constants.MATH_CLOSE_PREC):
                    order['amount'] = new_amount
                    # Fee was applied, so set to 0
                    trade.fee_open = 0
                    trade.recalc_open_trade_price()

            except DependencyException as exception:
                logger.warning("Could not update trade amount: %s", exception)

            trade.update(order)

            # Updating wallets when order is closed
            if not trade.is_open:
                self.wallets.update()

    def get_real_amount(self,
                        trade: Trade,
                        order: Dict,
                        order_amount: float = None) -> float:
        """
        Get real amount for the trade
        Necessary for exchanges which charge fees in base currency (e.g. binance)
        """
        if order_amount is None:
            order_amount = order['amount']
        # Only run for closed orders
        if trade.fee_open == 0 or order['status'] == 'open':
            return order_amount

        # use fee from order-dict if possible
        if ('fee' in order and order['fee'] is not None
                and (order['fee'].keys() >= {'currency', 'cost'})):
            if (order['fee']['currency'] is not None
                    and order['fee']['cost'] is not None
                    and trade.pair.startswith(order['fee']['currency'])):
                new_amount = order_amount - order['fee']['cost']
                logger.info(
                    "Applying fee on amount for %s (from %s to %s) from Order",
                    trade, order['amount'], new_amount)
                return new_amount

        # Fallback to Trades
        trades = self.exchange.get_trades_for_order(trade.open_order_id,
                                                    trade.pair,
                                                    trade.open_date)

        if len(trades) == 0:
            logger.info(
                "Applying fee on amount for %s failed: myTrade-Dict empty found",
                trade)
            return order_amount
        amount = 0
        fee_abs = 0
        for exectrade in trades:
            amount += exectrade['amount']
            if ("fee" in exectrade and exectrade['fee'] is not None
                    and (exectrade['fee'].keys() >= {'currency', 'cost'})):
                # only applies if fee is in quote currency!
                if (exectrade['fee']['currency'] is not None
                        and exectrade['fee']['cost'] is not None and
                        trade.pair.startswith(exectrade['fee']['currency'])):
                    fee_abs += exectrade['fee']['cost']

        if not isclose(amount, order_amount,
                       abs_tol=constants.MATH_CLOSE_PREC):
            logger.warning(
                f"Amount {amount} does not match amount {trade.amount}")
            raise DependencyException("Half bought? Amounts don't match")
        real_amount = amount - fee_abs
        if fee_abs != 0:
            logger.info(f"Applying fee on amount for {trade} "
                        f"(from {order_amount} to {real_amount}) from Trades")
        return real_amount