agent0.hyperfuzz.unit_fuzz.helpers.execute_random_trades
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.. py:module:: agent0.hyperfuzz.unit_fuzz.helpers.execute_random_trades

.. autoapi-nested-parse::

   Return a list of results from opening a random longs and shorts.

   ..
       !! processed by numpydoc !!


Functions
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.. autoapisummary::

   agent0.hyperfuzz.unit_fuzz.helpers.execute_random_trades.execute_random_trades


Module Contents
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.. py:function:: execute_random_trades(num_trades: int, chain: agent0.core.hyperdrive.interactive.LocalChain, rng: numpy.random.Generator, interactive_hyperdrive: agent0.core.hyperdrive.interactive.LocalHyperdrive, advance_time: bool = False) -> list[tuple[agent0.core.hyperdrive.interactive.local_hyperdrive_agent.LocalHyperdriveAgent, hyperdrivetypes.OpenLongEventFP | hyperdrivetypes.OpenShortEventFP]]

   
   Conduct some trades specified by the trade list.
   If advance time is true, the sum of all time passed between all trades will be between 0 and the position duration.

   :param num_trades: The number of trades to execute.
   :type num_trades: int
   :param chain: An instantiated LocalChain.
   :type chain: LocalChain
   :param rng: The numpy Generator provides access to a wide range of distributions, and stores the random state.
   :type rng: `Generator <https://numpy.org/doc/stable/reference/random/generator.html>`_
   :param interactive_hyperdrive: An instantiated InteractiveHyperdrive object.
   :type interactive_hyperdrive: InteractiveHyperdrive
   :param advance_time: If True, advance time a random amount between 0 and the position duration after each trade.
                        Defaults to False, which follows the anvil settings.
                        Typically this advances one block and 12 seconds between each trade.
   :type advance_time: bool, optional

   :returns:

             A list with an entry per trade, containing a tuple with:
                 - the agent executing the trade
                 - either the OpenLong or OpenShort trade event
   :rtype: list[tuple[InteractiveHyperdriveAgent, OpenLong | OpenShort]]















   ..
       !! processed by numpydoc !!