论文链接:Inherently Explainable Reinforcement Learning in Natural Language - AMiner 标题:FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance(FinRL Meta:用于量化金融中数据驱动的深度强化学习的近似真实市场环境) 简介:最近,深度强化学习(DRL...
Deep LearningInterpretability ModelsSurrogate ModelsShapley ValuesDeep learning is a powerful tool whose applications in quantitative finance are growing every day. Yet, artificial neural networks behave as black boxes and thiBrigo, DamianoHuang, Xiaoshan...
in the second phrase he responds to price changes accordingly to narrow framing and has chance to trade it at any trading price over all prospects in bargain and competition for a limited number of the shares consumed. Narrow framing occurs when an agent who is offered a new gamble evaluates...
J. Sirignano and R. Cont. Universal features of price formation in financial makrets: Persepectives from deep learning. Quantitative Finance, 19(9):1449–1459, July 2019. J. A. Sirignano. Deep learning for limit order books. Quantitative Finance, 19(4):549–570, 2019. 10.1080/14697688.2018...
Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction - matlab-deep-learning/transformer-networks-for-time-series-prediction
Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.
This branch is9 commits behindLeefinance/Quantitative-finance-papers-using-deep-learning:master. README.md Update README.md Sep 17, 2020 README MIT license Background I would like to introduce some papers bridging deep learning and traditional financial theories (especially in the field of investme...
This chapter presents related work on the subject of finance and deep learning. It discusses time series analysis in finance and introduces deep learning i... MN Alonso,G Batres〦Strada,A Moulin - Big Data and Machine Learning in Quantitative Investment 被引量: 0发表: 2018年 Deep Learning in...
Machine learning techniques are playing more and more important roles in finance market investment. However, finance quantitative modeling with conventional supervised learning approaches has a number of limitations, including the difficulty in defining appropriate labels, lack of consistency in modeling and...
Deep Learning for Finance 作者:Sofien Kaabar 出版社:O'Reilly Media, Inc. 副标题:Creating Machine & Deep Learning Models for Trading in Python 出版年:2024-1 页数:350 装帧:Paperback ISBN:9781098148393 豆瓣评分 评价人数不足 评价: 写笔记