Apple Stock Data
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading
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资源简介：
该数据集包含了用于评估TDQN交易策略在苹果股票上的历史交易数据。它突显了TDQN算法在股票市场中的表现，以及其检测并利用主要市场趋势的能力。数据集涵盖了多个交易周期，每个周期的起始资金为10万美元，任务是通过深度强化学习进行算法交易。
This dataset contains historical trading data for evaluating the TDQN trading strategy on Apple stocks. It highlights the performance of the TDQN algorithm in the stock market, as well as its capability to detect and exploit major market trends. The dataset covers multiple trading cycles, each with an initial capital of $100,000, where the task is to conduct algorithmic trading via deep reinforcement learning.
