作者简介· ··· LAURENS BENSDORP is an expert at combining multiple non-correlating trading strategies to achieve a high risk-adjusted return regardless of what the market does. He shares that knowledge with a group of brilliant and dedicated students in the exclusive Elite Mentoring Program...
Automated Stock TradingEnsemble StrategyActor-Critic FrameworkStock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. Idoi:10.2139/ssrn.3690996Yang, Hongyang...
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股票预测 stock prediction领域一直都是很有趣的研究方向,但是奈何行业的特点,很少有统一的数据集和一些评估方法,本文是来自我们IJCAI 2022的finnlp 录取的论文:Astock: a new dataset and automated stock trading based on stock-specific news analyzing Model. 论文的地址:Astock: A New Dataset and Automated S...
1. 2. 3. 4. 然后运行命令: export PYTHONPATH=/your_path_to/stable-baselines:$PYTHONPATH python run_DRL.py 1. 2. 参考文献 [1]. Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. https://github.com/AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Automated-Sto...
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图书Automated Stock Trading Systems: A Systematic Approach for Traders to Make Money in Bull, Bear and Sideways Markets 介绍、书评、论坛及推荐
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Automated Stock-Market Trading using Reinforcement LearningMy project will explore the effectiveness of using an automated agent to make stock trading decisions. I propose to create a reinforcement- learning agent that uses q-learning to choose actions that maximize assets. I will explore different ...
automated trading, or system trading—allow traders to establish specific rules for both trade entries and exits that, once programmed, can be automatically executed via a computer. In fact, 70% to 80% of shares traded on U.S. stock exchanges come from automatic trading systems as of 2024.1...