name: stocker
version: 0.1.0
description: >
  An RL environment where an AI agent makes stock-trading decisions
  (buy / sell / hold) over a sequence of market observations and is
  rewarded for portfolio profit and risk-adjusted return.

tasks:
  - task_easy
  - task_medium
  - task_hard

observation_space:
  ticker: str
  date: str
  price: float
  price_history: "list[float]"
  fundamentals: dict
  cash: float
  position: int
  portfolio_value: float
  task_id: str
  step_number: int
  total_steps: int

action_space:
  side: "literal[buy, sell, hold]"
  quantity: int

entrypoint: app.core.environment:StockerEnv

tags:
  - openenv
  - finance
  - trading
  - rl