fast_training_env
=================

.. py:module:: fast_training_env


Attributes
----------

.. autoapisummary::

   fast_training_env.EPSILON
   fast_training_env.PCT_TO_REWARD_SCALE


Classes
-------

.. autoapisummary::

   fast_training_env.FastTrainingEnv


Module Contents
---------------

.. py:data:: EPSILON
   :value: 1e-08


.. py:data:: PCT_TO_REWARD_SCALE
   :value: 100.0


.. py:class:: FastTrainingEnv(data, cfg, features, time_step = (TimeFrameUnit.Day, 1))

   Bases: :py:obj:`trading.src.alg.environments.base_environment.BaseTradingEnv`


   Fast training environment with minimal state tracking.
   Optimized for speed with constant-time operations.
   Does NOT maintain position history, trade constraints, or complex metrics.
   Target: 10,000 iterations per second.


   .. py:attribute:: initial_cash


   .. py:attribute:: cash


   .. py:attribute:: holdings


   .. py:method:: _precompute_price_arrays()

      Pre-compute price arrays and feature matrices for fast lookups.



   .. py:method:: _get_observation(i = -1)

      Get observation with minimal computation using pre-computed matrices.
      Returns: [cash, holdings, current_prices, indicators]



   .. py:method:: reset(*, seed = None, options = None)

      Reset to initial state.



   .. py:method:: step(action)

      Fast step with minimal state updates.
      Reward based on immediate portfolio value change.