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Py学习  »  机器学习算法

一次看个够!最新15篇『量化机器学习』论文

量化投资与机器学习 • 3 年前 • 516 次点击  

量化投资与机器学习微信公众号,是业内垂直于量化投资、对冲基金、Fintech、人工智能、大数据领域的主流自媒体公众号拥有来自公募、私募、券商、期货、银行、保险、高校等行业30W+关注者,荣获2021年度AMMA优秀品牌力、优秀洞察力大奖,连续2年被腾讯云+社区评选为“年度最佳作者”。


公众号搜集了2022年以来各大期刊发表的关于机器学习应用于量化投资的论文,总共15篇,附上的地址都是直接可以免费下载的。话不多说,学习起来吧~~


1、Development of a Stock Price Prediction Framework for Intelligent Media and Technical Analysis

https://www.mdpi.com/2076-3417/12/2/719


2、Hybrid Deep Reinforcement Learning for Pairs Trading

https://www.mdpi.com/2076-3417/12/3/944


3、Identifying Financial Market Trend Reversal Behavior With Structures of Price Activities Based on Deep Learning Methods

https://ieeexplore.ieee.org/abstract/document/9693504


4、Stock prediction based on technical indicators using deep learning model

https://www.techscience.com/cmc/v70n1/44330


5、Selective transfer learning with adversarial training for stock movement prediction

https://www.tandfonline.com/doi/full/10.1080/09540091.2021.2021143


6、The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction

https://www.sciencedirect.com/science/article/pii/S2772662221000102


7、Machine learning techniques and data for stock market forecasting: a literature review

https://www.sciencedirect.com/science/article/pii/S0957417422001452


8、AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators

https://www.mdpi.com/2079-9292/11/4/611


9、Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network

https://www.frontiersin.org/articles/10.3389/frai.2022.837596/full


10、Sector influence aware stock trend prediction using 3D convolutional neural network

https://www.sciencedirect.com/science/article/pii/S1319157822000416


11、Long-term financial predictions based on Feynman–Dirac path integrals, deep Bayesian networks and temporal generative adversarial networks

https://www.sciencedirect.com/science/article/pii/S2666827022000044


12、Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies

https://link.springer.com/article/10.1007/s00521-021-06828-4


13、LSTM in Algorithmic Investment Strategies on BTC and S&P500 Index

https://www.mdpi.com/1424-8220/22/3/917


14、Slow momentum with fast reversion: A trading strategy using deep learning and changepoint detection

https://jfds.pm-research.com/content/4/1/111


15、Learning Sentimental and Financial Signals with Normalizing Flows for Stock Movement Prediction

https://ieeexplore.ieee.org/abstract/document/9652123

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516 次点击