"""
The portfolio rebalancing bot will buy and sell to maintain a
constant asset allocation ratio of exactly 50/50 = fiat/BTC
"""

import strategy
import goxapi

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

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

    def slot_before_unload(self, _sender, _data):
        pass

    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()

import strategy
import goxapi


class Strategy(strategy.Strategy):

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


    def slot_before_unload(self, _sender, _data):
        pass

    def slot_keypress(self, gox, (key)):
	if key == ord("b"):
	     self.debug("canceling all rebalancing orders")