class_docstr: Model slippage as a fixed value.
  
  Parameters
  ----------
  slippage : float, optional
      fixed slippage will be added to buys and subtracted from sells.
class_docstr_tok: ["Model","slippage","as","a","fixed","value",".","Parameters","--","--","--","--","--","slippage",":","float",",","optional","fixed","slippage","will","be","added","to","buys","and","subtracted","from","sells","."]
code: def simulate(self, data, asset, orders_for_asset):
      self._volume_for_bar = 0
      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:
              log.info(
                  "order has not reached the trigger at current "
                  "price {}".format(price)
              )
              continue
  
          execution_price, execution_volume = self.process_order(
              data, order
          )
          if execution_price is not None:
              transaction = create_transaction(
                  order, dt, execution_price, execution_volume
              )
  
              self._volume_for_bar += abs(transaction.amount)
              yield order, transaction
  
imports: import numpy
  import pandas
  from logbook import Logger
  from redo import retry
  from catalyst.assets._assets import TradingPair
  from catalyst.constants import LOG_LEVEL
  from catalyst.exchange.exchange_errors import ExchangeRequestError
  from catalyst.finance.blotter import Blotter
  from catalyst.finance.commission import CommissionModel
  from catalyst.finance.order import ORDER_STATUS
  from catalyst.finance.slippage import SlippageModel
  from catalyst.finance.transaction import create_transaction
  from catalyst.utils.input_validation import expect_types
label_desc: Use image node_id 3 for calling the TradingPairFixedSlippage obj's underlying member method code with example usage: obj.simulate(data, asset, orders_for_asset) without return types