umrysh · November 23, 2013 22:44
diff --git a/_balancer.py b/_balancer.py
 """
 The portfolio rebalancing bot will buy and sell to maintain a
 constant asset allocation ratio of exactly 20/80 = fiat/BTC
 """

 import strategy
 import os
 import threading
 import weakref
 import inspect

 DISTANCE    = 5     # percent price distance of next rebalancing orders
 FIAT_COLD   = 0     # Amount of Fiat stored at home but included in calculations
 COIN_COLD   = 0     # Amount of Coin stored at home but included in calculations

 MARKER      = 7     # lowest digit of price to identify bot's own orders
 COIN        = 1E8   # number of satoshi per coin, this is a constant.

 FIATLV  = 2.0
 BTCLV   = 8.0

 bfr = BTCLV / FIATLV

 def add_marker(price, marker):
    """encode a marker in the price value to find bot's own orders"""
    return price / 10 * 10 + marker

 def has_marker(price, marker):
    """return true if the price value has the marker"""
    return (price % 10) == marker

 def mark_own(price):
    """return the price with our own marker embedded"""
    return add_marker(price, MARKER)

 def is_own(price):
    """return true if this price has our own marker"""
    return has_marker(price, MARKER)


 class Signal():
    """callback functions (so called slots) can be connected to a signal and
    will be called when the signal is called (Signal implements __call__).
    The slots receive two arguments: the sender of the signal and a custom
    data object. Two different threads won't be allowed to send signals at the
    same time application-wide, concurrent threads will have to wait until
    the lock is releaesed again. The lock allows recursive reentry of the same
    thread to avoid deadlocks when a slot wants to send a signal itself."""

    _lock = threading.RLock()
    signal_error = None

    def __init__(self):
        self._functions = weakref.WeakSet()
        self._methods = weakref.WeakKeyDictionary()

        # the Signal class itself has a static member signal_error where it
        # will send tracebacks of exceptions that might happen. Here we
        # initialize it if it does not exist already
        if not Signal.signal_error:
            Signal.signal_error = 1
            Signal.signal_error = Signal()

    def connect(self, slot):
        """connect a slot to this signal. The parameter slot can be a funtion
        that takes exactly 2 arguments or a method that takes self plus 2 more
        arguments, or it can even be even another signal. the first argument
        is a reference to the sender of the signal and the second argument is
        the payload. The payload can be anything, it totally depends on the
        sender and type of the signal."""
        if inspect.ismethod(slot):
            if slot.__self__ not in self._methods:
                self._methods[slot.__self__] = set()
            self._methods[slot.__self__].add(slot.__func__)
        else:
            self._functions.add(slot)

    def __call__(self, sender, data, error_signal_on_error=True):
        """dispatch signal to all connected slots. This is a synchronuos
        operation, It will not return before all slots have been called.
        Also only exactly one thread is allowed to emit signals at any time,
        all other threads that try to emit *any* signal anywhere in the
        application at the same time will be blocked until the lock is released
        again. The lock will allow recursive reentry of the seme thread, this
        means a slot can itself emit other signals before it returns (or
        signals can be directly connected to other signals) without problems.
        If a slot raises an exception a traceback will be sent to the static
        Signal.signal_error() or to logging.critical()"""
        with self._lock:
            sent = False
            errors = []
            for func in self._functions:
                try:
                    func(sender, data)
                    sent = True

                except: # pylint: disable=W0702
                    errors.append(traceback.format_exc())

            for obj, funcs in self._methods.items():
                for func in funcs:
                    try:
                        func(obj, sender, data)
                        sent = True

                    except: # pylint: disable=W0702
                        errors.append(traceback.format_exc())

            for error in errors:
                if error_signal_on_error:
                    Signal.signal_error(self, (error), False)
                else:
                    logging.critical(error)

            return sent



 class TradesTimer(Signal):
    """a simple timer (used for stuff like keepalive)."""

    def __init__(self, interval, one_shot=False):
        """create a new timer, interval is in seconds"""
        Signal.__init__(self)
        self._one_shot = one_shot
        self._canceled = False
        self._interval = interval
        self._timer = None
        self._start()

    def _fire(self):
        """fire the signal and restart it"""
        if not self._canceled:
            self.__call__(self, None)
            if not (self._canceled or self._one_shot):
                self._start()

    def _start(self):
        """start the timer"""
        self._timer = threading.Timer(self._interval, self._fire)
        self._timer.daemon = True
        self._timer.start()

    def cancel(self):
        """cancel the timer"""
        self._canceled = True
        self._timer.cancel()
        self._timer = None

 class Strategy(strategy.Strategy):
    """a protfolio rebalancing bot"""
    def __init__(self, gox):
        strategy.Strategy.__init__(self, gox)
        self.temp_halt = False

    def slot_keypress(self, gox, (key)):
        """a key has been pressed"""

        if key == ord("c"):
            # cancel existing rebalancing orders and suspend trading
            self.debug("canceling all rebalancing orders")
            self.temp_halt = True
            self.cancel_orders()

        if key == ord("p"):
            # create the initial two rebalancing orders and start trading.
            # Before you do this the portfolio should already be balanced.
            # use "i" to show current status and "b" to rebalance with a
            # market order at current price.
            self.debug("adding new initial rebalancing orders")
            self.temp_halt = False
            self.place_orders()

        if key == ord("u"):
            # update the own order list and wallet by forcing what
            # normally happens only after reconnect
            gox.client.channel_subscribe(False)

        if key == ord("i"):
            # print some information into the log file about
            # current status (how much currently out of balance)
            price = (gox.orderbook.bid + gox.orderbook.ask) / 2
            vol_buy = self.get_buy_at_price(price)
            price_balanced = self.get_price_where_it_was_balanced()
            self.debug("BTC difference at current price:",
                gox.base2float(vol_buy))
            self.debug("Price where it would be balanced:",
                gox.quote2float(price_balanced))

        if key == ord("b"):
            # manually rebalance with market order at current price
            price = (gox.orderbook.bid + gox.orderbook.ask) / 2
            vol_buy = self.get_buy_at_price(price)
            if abs(vol_buy) > 0.01 * COIN:
                self.temp_halt = True
                self.cancel_orders()
                if vol_buy > 0:
                    self.debug("buy %f at market" %
                        gox.base2float(vol_buy))
                    gox.buy(0, vol_buy)
                else:
                    self.debug("sell %f at market" %
                        gox.base2float(-vol_buy))
                    gox.sell(0, -vol_buy)

    def cancel_orders(self):
        """cancel all rebalancing orders, we identify
        them through the marker in the price value"""
        must_cancel = []
        for order in self.gox.orderbook.owns:
            if is_own(order.price):
                must_cancel.append(order)

        for order in must_cancel:
            self.gox.cancel(order.oid)

    def get_price_where_it_was_balanced(self):
        """get the price at which it was perfectly balanced, given the current
        BTC and Fiat account balances. Immediately after a rebalancing order was
        filled this should be pretty much excactly the price where the order was
        filled (because by definition it should be quite exactly balanced then),
        so even after missing the trade message due to disconnect it should be
        possible to place the next 2 orders precisely around the new center"""
        gox = self.gox
        fiat_have = gox.quote2float(gox.wallet[gox.curr_quote]) + FIAT_COLD
        btc_have  = gox.base2float(gox.wallet[gox.curr_base]) + COIN_COLD
        return gox.quote2int((fiat_have * bfr) / btc_have)

    def get_buy_at_price(self, price_int):
        """calculate amount of BTC needed to buy at price to achieve
        rebalancing. price and return value are in mtgox integer format"""
        gox = self.gox
        fiat_have = gox.quote2float(gox.wallet[gox.curr_quote]) + FIAT_COLD
        btc_have  = gox.base2float(gox.wallet[gox.curr_base]) + COIN_COLD
        price_then = gox.quote2float(price_int)

        btc_value_then = btc_have * price_then
        diff = (fiat_have * bfr - btc_value_then)/bfr
        diff_btc = diff / price_then
        must_buy = diff_btc / (BTCLV+FIATLV) * FIATLV
        return self.gox.base2int(must_buy)

    def place_orders(self):
        """place two new rebalancing orders above and below center price"""
        center = self.get_price_where_it_was_balanced()
        self.debug(
            "center is %f" % self.gox.quote2float(center))
        step = int(center * DISTANCE / 100.0)
        next_sell = mark_own(center + step)
        next_buy  = mark_own(center - step)

        sell_amount = -self.get_buy_at_price(next_sell)
        buy_amount = self.get_buy_at_price(next_buy)

        if sell_amount < 0.01 * COIN:
            sell_amount = int(0.01 * COIN)
            self.debug("WARNING! minimal sell amount adjusted to 0.01")

        if buy_amount < 0.01 * COIN:
            buy_amount = int(0.01 * COIN)
            self.debug("WARNING! minimal buy amount adjusted to 0.01")

        self.debug("new buy order %f at %f" % (
            self.gox.base2float(buy_amount),
            self.gox.quote2float(next_buy)
        ))
        self.gox.buy(next_buy, buy_amount)

        self.debug("new sell order %f at %f" % (
            self.gox.base2float(sell_amount),
            self.gox.quote2float(next_sell)
        ))
        self.gox.sell(next_sell, sell_amount)

        # Set timer to make sure trades went through
        self.debug("Set Timer.")
        self._timer = TradesTimer(60)
        self._timer.connect(self.trade_timer)

    def slot_trade(self, gox, (date, price, volume, typ, own)):
        """a trade message has been receivd"""
        # not interested in other people's trades
        if not own:
            return

        # not interested in manually entered (not bot) trades
        if not is_own(price):
            return

        text = {"bid": "sold", "ask": "bought"}[typ]
        self.debug("*** %s %f at %f" % (
            text,
            gox.base2float(volume),
            gox.quote2float(price)
        ))
        self.check_trades()

    def slot_owns_changed(self, orderbook, _dummy):
        """status or amount of own open orders has changed"""
        self.check_trades()

    def check_trades(self):
        """find out if we need to place new orders and do it if neccesary"""

        # bot temporarily disabled
        if self.temp_halt:
            return

        # still waiting for submitted orders,
        # can wait for next signal
        if self.gox.count_submitted:
            return

        # we count the open and pending orders
        count = 0
        count_pending = 0
        book = self.gox.orderbook
        for order in book.owns:
            if is_own(order.price):
                if order.status == "open":
                    count += 1
                else:
                    count_pending += 1

        # as long as there are ANY pending orders around we
        # just do nothing and wait for the next signal
        if count_pending:
            return

        # if count is exacty 1 then one of the orders must have been filled,
        # now we cancel the other one and place two fresh orders in the
        # distance of DISTANCE around center price.
        if count == 1:
            self.cancel_orders()
            self.place_orders()

    def trade_timer(self, _sender, _data):
        self._timer.cancel()
        self.debug("Trade_Timer Called.")

        """find out if we need to place new orders and do it if neccesary"""

        # bot temporarily disabled
        if self.temp_halt:
            return

        # still waiting for submitted orders,
        # can wait for next signal
        if self.gox.count_submitted:
            return

        # we count the open and pending orders
        count = 0
        count_pending = 0
        book = self.gox.orderbook
        for order in book.owns:
            if is_own(order.price):
                if order.status == "open":
                    count += 1
                else:
                    count_pending += 1

        # as long as there are ANY pending orders around we
        # just do nothing and wait for the next signal
        if count_pending:
            return

        # if count is exacty 1 then one of the orders must have been filled,
        # now we cancel the other one and place two fresh orders in the
        # distance of DISTANCE around center price.
        if count == 1:
            self.cancel_orders()
            self.place_orders()
        elif count == 0:
            self.debug("Orders Did Not Go Through. Re-Submitting.")
            self.cancel_orders()
            self.place_orders()
	"""
	The portfolio rebalancing bot will buy and sell to maintain a
	constant asset allocation ratio of exactly 20/80 = fiat/BTC
	"""

	import strategy
	import os
	import threading
	import weakref
	import inspect

	DISTANCE = 5 # percent price distance of next rebalancing orders
	FIAT_COLD = 0 # Amount of Fiat stored at home but included in calculations
	COIN_COLD = 0 # Amount of Coin stored at home but included in calculations

	MARKER = 7 # lowest digit of price to identify bot's own orders
	COIN = 1E8 # number of satoshi per coin, this is a constant.

	FIATLV = 2.0
	BTCLV = 8.0

	bfr = BTCLV / FIATLV

	def add_marker(price, marker):
	"""encode a marker in the price value to find bot's own orders"""
	return price / 10 * 10 + marker

	def has_marker(price, marker):
	"""return true if the price value has the marker"""
	return (price % 10) == marker

	def mark_own(price):
	"""return the price with our own marker embedded"""
	return add_marker(price, MARKER)

	def is_own(price):
	"""return true if this price has our own marker"""
	return has_marker(price, MARKER)


	class Signal():
	"""callback functions (so called slots) can be connected to a signal and
	will be called when the signal is called (Signal implements __call__).
	The slots receive two arguments: the sender of the signal and a custom
	data object. Two different threads won't be allowed to send signals at the
	same time application-wide, concurrent threads will have to wait until
	the lock is releaesed again. The lock allows recursive reentry of the same
	thread to avoid deadlocks when a slot wants to send a signal itself."""

	_lock = threading.RLock()
	signal_error = None

	def __init__(self):
	self._functions = weakref.WeakSet()
	self._methods = weakref.WeakKeyDictionary()

	# the Signal class itself has a static member signal_error where it
	# will send tracebacks of exceptions that might happen. Here we
	# initialize it if it does not exist already
	if not Signal.signal_error:
	Signal.signal_error = 1
	Signal.signal_error = Signal()

	def connect(self, slot):
	"""connect a slot to this signal. The parameter slot can be a funtion
	that takes exactly 2 arguments or a method that takes self plus 2 more
	arguments, or it can even be even another signal. the first argument
	is a reference to the sender of the signal and the second argument is
	the payload. The payload can be anything, it totally depends on the
	sender and type of the signal."""
	if inspect.ismethod(slot):
	if slot.__self__ not in self._methods:
	self._methods[slot.__self__] = set()
	self._methods[slot.__self__].add(slot.__func__)
	else:
	self._functions.add(slot)

	def __call__(self, sender, data, error_signal_on_error=True):
	"""dispatch signal to all connected slots. This is a synchronuos
	operation, It will not return before all slots have been called.
	Also only exactly one thread is allowed to emit signals at any time,
	all other threads that try to emit any signal anywhere in the
	application at the same time will be blocked until the lock is released
	again. The lock will allow recursive reentry of the seme thread, this
	means a slot can itself emit other signals before it returns (or
	signals can be directly connected to other signals) without problems.
	If a slot raises an exception a traceback will be sent to the static
	Signal.signal_error() or to logging.critical()"""
	with self._lock:
	sent = False
	errors = []
	for func in self._functions:
	try:
	func(sender, data)
	sent = True

	except: # pylint: disable=W0702
	errors.append(traceback.format_exc())

	for obj, funcs in self._methods.items():
	for func in funcs:
	try:
	func(obj, sender, data)
	sent = True

	except: # pylint: disable=W0702
	errors.append(traceback.format_exc())

	for error in errors:
	if error_signal_on_error:
	Signal.signal_error(self, (error), False)
	else:
	logging.critical(error)

	return sent



	class TradesTimer(Signal):
	"""a simple timer (used for stuff like keepalive)."""

	def __init__(self, interval, one_shot=False):
	"""create a new timer, interval is in seconds"""
	Signal.__init__(self)
	self._one_shot = one_shot
	self._canceled = False
	self._interval = interval
	self._timer = None
	self._start()

	def _fire(self):
	"""fire the signal and restart it"""
	if not self._canceled:
	self.__call__(self, None)
	if not (self._canceled or self._one_shot):
	self._start()

	def _start(self):
	"""start the timer"""
	self._timer = threading.Timer(self._interval, self._fire)
	self._timer.daemon = True
	self._timer.start()

	def cancel(self):
	"""cancel the timer"""
	self._canceled = True
	self._timer.cancel()
	self._timer = None

	class Strategy(strategy.Strategy):
	"""a protfolio rebalancing bot"""
	def __init__(self, gox):
	strategy.Strategy.__init__(self, gox)
	self.temp_halt = False

	def slot_keypress(self, gox, (key)):
	"""a key has been pressed"""

	if key == ord("c"):
	# cancel existing rebalancing orders and suspend trading
	self.debug("canceling all rebalancing orders")
	self.temp_halt = True
	self.cancel_orders()

	if key == ord("p"):
	# create the initial two rebalancing orders and start trading.
	# Before you do this the portfolio should already be balanced.
	# use "i" to show current status and "b" to rebalance with a
	# market order at current price.
	self.debug("adding new initial rebalancing orders")
	self.temp_halt = False
	self.place_orders()

	if key == ord("u"):
	# update the own order list and wallet by forcing what
	# normally happens only after reconnect
	gox.client.channel_subscribe(False)

	if key == ord("i"):
	# print some information into the log file about
	# current status (how much currently out of balance)
	price = (gox.orderbook.bid + gox.orderbook.ask) / 2
	vol_buy = self.get_buy_at_price(price)
	price_balanced = self.get_price_where_it_was_balanced()
	self.debug("BTC difference at current price:",
	gox.base2float(vol_buy))
	self.debug("Price where it would be balanced:",
	gox.quote2float(price_balanced))

	if key == ord("b"):
	# manually rebalance with market order at current price
	price = (gox.orderbook.bid + gox.orderbook.ask) / 2
	vol_buy = self.get_buy_at_price(price)
	if abs(vol_buy) > 0.01 * COIN:
	self.temp_halt = True
	self.cancel_orders()
	if vol_buy > 0:
	self.debug("buy %f at market" %
	gox.base2float(vol_buy))
	gox.buy(0, vol_buy)
	else:
	self.debug("sell %f at market" %
	gox.base2float(-vol_buy))
	gox.sell(0, -vol_buy)

	def cancel_orders(self):
	"""cancel all rebalancing orders, we identify
	them through the marker in the price value"""
	must_cancel = []
	for order in self.gox.orderbook.owns:
	if is_own(order.price):
	must_cancel.append(order)

	for order in must_cancel:
	self.gox.cancel(order.oid)

	def get_price_where_it_was_balanced(self):
	"""get the price at which it was perfectly balanced, given the current
	BTC and Fiat account balances. Immediately after a rebalancing order was
	filled this should be pretty much excactly the price where the order was
	filled (because by definition it should be quite exactly balanced then),
	so even after missing the trade message due to disconnect it should be
	possible to place the next 2 orders precisely around the new center"""
	gox = self.gox
	fiat_have = gox.quote2float(gox.wallet[gox.curr_quote]) + FIAT_COLD
	btc_have = gox.base2float(gox.wallet[gox.curr_base]) + COIN_COLD
	return gox.quote2int((fiat_have * bfr) / btc_have)

	def get_buy_at_price(self, price_int):
	"""calculate amount of BTC needed to buy at price to achieve
	rebalancing. price and return value are in mtgox integer format"""
	gox = self.gox
	fiat_have = gox.quote2float(gox.wallet[gox.curr_quote]) + FIAT_COLD
	btc_have = gox.base2float(gox.wallet[gox.curr_base]) + COIN_COLD
	price_then = gox.quote2float(price_int)

	btc_value_then = btc_have * price_then
	diff = (fiat_have * bfr - btc_value_then)/bfr
	diff_btc = diff / price_then
	must_buy = diff_btc / (BTCLV+FIATLV) * FIATLV
	return self.gox.base2int(must_buy)

	def place_orders(self):
	"""place two new rebalancing orders above and below center price"""
	center = self.get_price_where_it_was_balanced()
	self.debug(
	"center is %f" % self.gox.quote2float(center))
	step = int(center * DISTANCE / 100.0)
	next_sell = mark_own(center + step)
	next_buy = mark_own(center - step)

	sell_amount = -self.get_buy_at_price(next_sell)
	buy_amount = self.get_buy_at_price(next_buy)

	if sell_amount < 0.01 * COIN:
	sell_amount = int(0.01 * COIN)
	self.debug("WARNING! minimal sell amount adjusted to 0.01")

	if buy_amount < 0.01 * COIN:
	buy_amount = int(0.01 * COIN)
	self.debug("WARNING! minimal buy amount adjusted to 0.01")

	self.debug("new buy order %f at %f" % (
	self.gox.base2float(buy_amount),
	self.gox.quote2float(next_buy)
	))
	self.gox.buy(next_buy, buy_amount)

	self.debug("new sell order %f at %f" % (
	self.gox.base2float(sell_amount),
	self.gox.quote2float(next_sell)
	))
	self.gox.sell(next_sell, sell_amount)

	# Set timer to make sure trades went through
	self.debug("Set Timer.")
	self._timer = TradesTimer(60)
	self._timer.connect(self.trade_timer)

	def slot_trade(self, gox, (date, price, volume, typ, own)):
	"""a trade message has been receivd"""
	# not interested in other people's trades
	if not own:
	return

	# not interested in manually entered (not bot) trades
	if not is_own(price):
	return

	text = {"bid": "sold", "ask": "bought"}[typ]
	self.debug("*** %s %f at %f" % (
	text,
	gox.base2float(volume),
	gox.quote2float(price)
	))
	self.check_trades()

	def slot_owns_changed(self, orderbook, _dummy):
	"""status or amount of own open orders has changed"""
	self.check_trades()

	def check_trades(self):
	"""find out if we need to place new orders and do it if neccesary"""

	# bot temporarily disabled
	if self.temp_halt:
	return

	# still waiting for submitted orders,
	# can wait for next signal
	if self.gox.count_submitted:
	return

	# we count the open and pending orders
	count = 0
	count_pending = 0
	book = self.gox.orderbook
	for order in book.owns:
	if is_own(order.price):
	if order.status == "open":
	count += 1
	else:
	count_pending += 1

	# as long as there are ANY pending orders around we
	# just do nothing and wait for the next signal
	if count_pending:
	return

	# if count is exacty 1 then one of the orders must have been filled,
	# now we cancel the other one and place two fresh orders in the
	# distance of DISTANCE around center price.
	if count == 1:
	self.cancel_orders()
	self.place_orders()

	def trade_timer(self, _sender, _data):
	self._timer.cancel()
	self.debug("Trade_Timer Called.")

	"""find out if we need to place new orders and do it if neccesary"""

	# bot temporarily disabled
	if self.temp_halt:
	return

	# still waiting for submitted orders,
	# can wait for next signal
	if self.gox.count_submitted:
	return

	# we count the open and pending orders
	count = 0
	count_pending = 0
	book = self.gox.orderbook
	for order in book.owns:
	if is_own(order.price):
	if order.status == "open":
	count += 1
	else:
	count_pending += 1

	# as long as there are ANY pending orders around we
	# just do nothing and wait for the next signal
	if count_pending:
	return

	# if count is exacty 1 then one of the orders must have been filled,
	# now we cancel the other one and place two fresh orders in the
	# distance of DISTANCE around center price.
	if count == 1:
	self.cancel_orders()
	self.place_orders()
	elif count == 0:
	self.debug("Orders Did Not Go Through. Re-Submitting.")
	self.cancel_orders()
	self.place_orders()