Exemple #1
0
 def process_order(self, event, order):
     return create_transaction(
         event,
         order,
         event.price + (self.spread / 2.0 * order.direction),
         order.amount,
     )
 def process_order(self, event, order):
     return create_transaction(
         event,
         order,
         event.price + (self.spread / 2.0 * order.direction),
         order.amount,
     )
    def process_order(self, event, order):

        max_volume = self.volume_limit * event.volume

        # price impact accounts for the total volume of transactions
        # created against the current minute bar
        # 价格影响占当前分钟栏创建的交易总量
        remaining_volume = max_volume - self.volume_for_bar
        if remaining_volume < 1:
            # we can't fill any more transactions
            raise LiquidityExceeded()

        # the current order amount will be the min of the
        # volume available in the bar or the open amount.
        cur_volume = int(min(remaining_volume, abs(order.open_amount)))

        if cur_volume < 1:
            return

        # tally the current amount into our total amount ordered.
        # total amount will be used to calculate price impact
        total_volume = self.volume_for_bar + cur_volume

        volume_share = min(total_volume / event.volume,
                           self.volume_limit)

        simulated_impact = volume_share ** 2 \
            * math.copysign(self.price_impact, order.direction) \
            * event.open
        if order.give_price==None:
            
            impacted_price = event.close + simulated_impact
        else:
            impacted_price = order.give_price+simulated_impact
        print u'收盘价',event.close,u'给定价',order.give_price,u'here里面'
        #print simulated_impact,u'滑点情况'
        #impacted_price = event.close + simulated_impact
        #print event ,u'event 情况'
        #raw_input()
        if order.limit:
            # this is tricky! if an order with a limit price has reached
            # the limit price, we will try to fill the order. do not fill
            # these shares if the impacted price is worse than the limit
            # price. return early to avoid creating the transaction.

            # buy order is worse if the impacted price is greater than
            # the limit price. sell order is worse if the impacted price
            # is less than the limit price
            if (order.direction > 0 and impacted_price > order.limit) or \
                    (order.direction < 0 and impacted_price < order.limit):
                return

        return create_transaction(
            event,
            order,
            impacted_price,
            math.copysign(cur_volume, order.direction)
        )
    def process_order(self, event, order):

        max_volume = self.volume_limit * event.volume

        # price impact accounts for the total volume of transactions
        # created against the current minute bar
        remaining_volume = max_volume - self.volume_for_bar
        if remaining_volume < 1:
            # we can't fill any more transactions
            raise LiquidityExceeded()

        # the current order amount will be the min of the
        # volume available in the bar or the open amount.
        cur_volume = int(min(remaining_volume, abs(order.open_amount)))

        if cur_volume < 1:
            return

        # tally the current amount into our total amount ordered.
        # total amount will be used to calculate price impact
        total_volume = self.volume_for_bar + cur_volume

        volume_share = min(total_volume / event.volume,
                           self.volume_limit)

        simulated_impact = volume_share ** 2 \
            * math.copysign(self.price_impact, order.direction) \
            * event.open
        impacted_price = event.open + simulated_impact

        if order.limit:
            # this is tricky! if an order with a limit price has reached
            # the limit price, we will try to fill the order. do not fill
            # these shares if the impacted price is worse than the limit
            # price. return early to avoid creating the transaction.

            # buy order is worse if the impacted price is greater than
            # the limit price. sell order is worse if the impacted price
            # is less than the limit price
            if (order.direction > 0 and impacted_price > order.limit) or \
                    (order.direction < 0 and impacted_price < order.limit):
                return

        return create_transaction(
            event,
            order,
            impacted_price,
            math.copysign(cur_volume, order.direction)
        )
Exemple #5
0
    def simulate(self, data, asset, orders_for_asset):
        self._volume_for_bar = 0
        volume = data.current(asset, "volume")

        if volume == 0:
            return

        # can use the close price, since we verified there's volume in this
        # bar.
        price = data.current(asset, "close")

        # BEGIN
        #
        # Remove this block after fixing data to ensure volume always has
        # corresponding price.
        if isnull(price):
            return
        # END
        dt = data.current_dt

        for order in orders_for_asset:
            if order.open_amount == 0:
                continue

            order.check_triggers(price, dt)
            if not order.triggered:
                continue

            txn = None

            try:
                execution_price, execution_volume = \
                    self.process_order(data, order)

                if execution_price is not None:
                    txn = create_transaction(
                        order,
                        data.current_dt,
                        execution_price,
                        execution_volume
                    )

            except LiquidityExceeded:
                break

            if txn:
                self._volume_for_bar += abs(txn.amount)
                yield order, txn
Exemple #6
0
    def simulate(self, data, asset, orders_for_asset):
        self._volume_for_bar = 0
        volume = data.current(asset, "volume")

        if volume == 0:
            return

        # can use the close price, since we verified there's volume in this
        # bar.
        price = data.current(asset, "close")

        # BEGIN
        #
        # Remove this block after fixing data to ensure volume always has
        # corresponding price.
        if isnull(price):
            return
        # END
        dt = data.current_dt

        for order in orders_for_asset:
            if order.open_amount == 0:
                continue

            order.check_triggers(price, dt)
            if not order.triggered:
                continue

            txn = None

            try:
                execution_price, execution_volume = \
                    self.process_order(data, order)

                if execution_price is not None:
                    txn = create_transaction(
                        order,
                        data.current_dt,
                        execution_price,
                        execution_volume
                    )

            except LiquidityExceeded:
                break

            if txn:
                self._volume_for_bar += abs(txn.amount)
                yield order, txn
Exemple #7
0
    def simulate(self, data, asset, orders_for_asset):
        self._volume_for_bar = 0
        volume = data.current(asset, "volume")

        if volume == 0:
            pass
            # GD meant to avoid delayed executions based on volume checks
            # return


        # can use the close price, since we verified there's volume in this
        # bar.
        price = data.current(asset, "close")
        dt = data.current_dt

        for order in orders_for_asset:
            if order.open_amount == 0:
                continue

            order.check_triggers(price, dt)
            if not order.triggered:
                continue

            txn = None

            try:
                execution_price, execution_volume = \
                    self.process_order(data, order)

                if execution_price is not None:
                    txn = create_transaction(
                        order,
                        data.current_dt,
                        execution_price,
                        execution_volume
                    )

            except LiquidityExceeded:
                break

            if txn:
                self._volume_for_bar += abs(txn.amount)
                yield order, txn
Exemple #8
0
    def simulate(self, data, asset, orders_for_asset):
        self._volume_for_bar = 0
        volume = data.current(asset, "volume")

        if volume == 0:
            return

        # can use the close price, since we verified there's volume in this
        # bar.

        # yuusha note: sell at bid, buy at ask
        dt = data.current_dt

        for order in orders_for_asset:
            if order.open_amount == 0:
                continue

            if order.amount > 0:
                price = data.current(order.asset, "ask")
            else:
                price = data.current(order.asset, "bid")

            order.check_triggers(price, dt)
            if not order.triggered:
                continue

            txn = None

            try:
                execution_price, execution_volume = \
                    self.process_order(data, order)

                if execution_price is not None:
                    txn = create_transaction(order, data.current_dt,
                                             execution_price, execution_volume)

            except LiquidityExceeded:
                break

            if txn:
                self._volume_for_bar += abs(txn.amount)
                yield order, txn