Filters








8,813 Hits in 3.1 sec

Multi-modal Attention Network for Stock Movements Prediction [article]

Shwai He, Shi Gu
<span title="2021-12-01">2021</span>
In this work, we propose a multi-modality attention network to reduce conflicts and integrate semantic and numeric features to predict future stock movements comprehensively.  ...  It demonstrates that our method improves the performance of stock movements prediction and informs future research on multi-modality fusion towards stock prediction.  ...  956.2 $ 1051.9 $ 1240.8 Catering $ 527.0 $ 654.7 $ 778.8 Electronic $ 1003.5 $ 752.2 $ 913.2 Chemical $ 689.9 $ 833.0 $ 958.3 Transportation $ 576.5 $ 702.6 $ 723.1 https://github.com/HeathCiff/Multi-modal-Attention-Network-for-Stock-Movements-Prediction  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2112.13593">doi:10.48550/arxiv.2112.13593</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zrttpbtj3feqxcsfgvf2cibobi">fatcat:zrttpbtj3feqxcsfgvf2cibobi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220118151052/https://arxiv.org/pdf/2112.13593.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b6/b4/b6b4772f3743e8c332f9bab9a20aa6e5b18331f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.48550/arxiv.2112.13593"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Risk Forecasting from Earnings Calls Acoustics and Network Correlations

Ramit Sawhney, Arshiya Aggarwal, Piyush Khanna, Puneet Mathur, Taru Jain, Rajiv Ratn Shah
<span title="2020-10-25">2020</span> <i title="ISCA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trpytsxgozamtbp7emuvz2ypra" style="color: black;">Interspeech 2020</a> </i> &nbsp;
To this end, we introduce the first neural model that employs cross inter-modal attention for deep verbal-vocal coherence and accounts for stock interdependence through multi-layer network embeddings.  ...  We show that our approach outperforms state-of-the-art methods by augmenting speech features with correlations from text and stock network modalities.  ...  Multi-node2vec: We represent the two stock relation networks as a multi-layer graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2020-2649">doi:10.21437/interspeech.2020-2649</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/interspeech/SawhneyAKMJS20.html">dblp:conf/interspeech/SawhneyAKMJS20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hp7szecp3zaqdgbpn5xvphj5ee">fatcat:hp7szecp3zaqdgbpn5xvphj5ee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201212112428/https://www.isca-speech.org/archive/Interspeech_2020/pdfs/2649.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d0/93/d093ea64d1f956b32ed6ce6c3d1ebe561d8d0e56.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21437/interspeech.2020-2649"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks [article]

Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou
<span title="2022-01-24">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Afterward, we propose DanSmp, a novel Dual Attention Networks to learn the momentum spillover signals based upon the constructed MKG for stock prediction.  ...  Stock Movement Prediction (SMP) aims at predicting listed companies' stock future price trend, which is a challenging task due to the volatile nature of financial markets.  ...  networkMulti-modal market information • Hierarchical graph attention method • A neural hypergraph architecture for stock selection • Temporal hawkes attention mechanism • Multi-modal market information  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.04965v2">arXiv:2201.04965v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3svfwio4xfalveayttzom3idni">fatcat:3svfwio4xfalveayttzom3idni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220127214135/https://arxiv.org/pdf/2201.04965v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/db/af/dbaf9ff32a00161d777f6f5cd50e4028d733bd0d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.04965v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling [article]

Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, YunfangWu, Xu Sun
<span title="2021-08-23">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Trading volume movement prediction is the key in a variety of financial applications.  ...  For instance, the relation between multiple stocks, recent transaction data and suddenly released events are all essential for understanding trading market.  ...  Acknowledgments The authors would like to thank responsible reviewers of IJ-CAI21 for their thoughtful and constructive suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.11318v1">arXiv:2108.11318v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/txjjpds5pnf2jfz3u5ieirwgtq">fatcat:txjjpds5pnf2jfz3u5ieirwgtq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210830234252/https://arxiv.org/pdf/2108.11318v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/57/5b/575b4cb07d17450b8b71993df74dd06282cf69cc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.11318v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Multi-Element Hierarchical Attention Capsule Network for Stock Prediction

Jintao Liu, Hongfei Lin, Liang Yang, Bo Xu, Dongzhen Wen
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
INDEX TERMS stock prediction, hierarchical attention, capsule network, text mining, natural language processing  ...  To solve this problem, we propose a multi-element hierarchical attention capsule network, which consists of two components.  ...  From this perspective, Twitter is a good source for stock prediction. We aim to combine the news and tweets to predict the U.S. stock price movements.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3014506">doi:10.1109/access.2020.3014506</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oyk36elf5berjefcgz4ht4c5zm">fatcat:oyk36elf5berjefcgz4ht4c5zm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108163903/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09159584.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/47/3f47e5c48d4ce7b7de3cc50e1e26e4a267882047.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3014506"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering [article]

Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos
<span title="2019-12-20">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We empirically evaluate the performance of our model on discovering relevant news articles for two stock time series from Apple and Google companies, along with the daily news articles collected from the  ...  However, the main focus of such analysis has been on achieving high prediction accuracy while little effort has been spent on the important task of understanding the association between the two data modalities  ...  Hence, two networks used for two data modality are trained in parallel and their outputs are being fused only prior to the last dense layer for making prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.10858v1">arXiv:1912.10858v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wvp3pncd6jdqtav2yya2ee3qxi">fatcat:wvp3pncd6jdqtav2yya2ee3qxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321041323/https://arxiv.org/pdf/1912.10858v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.10858v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning knowledge-enriched company embeddings for investment management

Gary Ang, Ee-Peng Lim
<span title="2021-11-03">2021</span> <i title="ACM"> Proceedings of the Second ACM International Conference on AI in Finance </i> &nbsp;
Relationships between companies serve as key channels through which the effects of past stock price movements and news events propagate and influence future price movements.  ...  In this paper, we propose Knowledge-Enriched Company Embedding (KECE), a novel multi-stage attentionbased dynamic network embedding model combining multimodal information of companies with knowledge from  ...  stock price of one company could be a leading indicator of the future price movements of other related stocks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3490354.3494390">doi:10.1145/3490354.3494390</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ytwfhsgsvanpnre222orup4rm">fatcat:7ytwfhsgsvanpnre222orup4rm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220508014642/https://dl.acm.org/doi/pdf/10.1145/3490354.3494390" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/75/3b7521c3f481e3e2cd2c3dd7a181d274fc1c0621.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3490354.3494390"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network [article]

Huicheng Liu
<span title="2018-11-15">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Stock market prediction is one of the most attractive research topic since the successful prediction on the market's future movement leads to significant profit.  ...  Traditional short term stock market predictions are usually based on the analysis of historical market data, such as stock prices, moving averages or daily returns.  ...  This provides a good setting for exploring deep learning-based models for stock price prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.06173v1">arXiv:1811.06173v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k2lm4obahvenlln6gbvdhkgk6a">fatcat:k2lm4obahvenlln6gbvdhkgk6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191027044317/https://arxiv.org/pdf/1811.06173v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/73/33/73339ed9e4dec1a9367f01c5eeb2ec64d3b48c65.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.06173v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Channeled Multilayer Perceptron as Multi-Modal Approach for Two Time-Frames Algo-Trading Strategy

Noussair Fikri, Khalid Moussaid, Mohamed Rida, Amina El Omri, Noureddine Abghour
<span title="">2022</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
modalities (Channel) has its That stands for a dynamic channel coefficient to produce a multi-processed feed-forward neural network that prevents uncertain trading signals depending on trend-volatility-momentum  ...  Instead of using classic computations and Back-propagation for adjusting MLP parameters, we established a channeled multi-layer perceptron inspired by a multi-modal learning approach where each group of  ...  processing and future stock prices prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2022.0130259">doi:10.14569/ijacsa.2022.0130259</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s5zisuzvlrabfapzilikfca5oq">fatcat:s5zisuzvlrabfapzilikfca5oq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220425022507/https://thesai.org/Downloads/Volume13No2/Paper_59-A_Channeled_Multilayer_Perceptron_as_Multi_Modal_Approach.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/60/b7/60b78e7e077a5b3c78844e841a9cee3830ee338b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2022.0130259"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

AI in Finance: Challenges, Techniques and Opportunities [article]

Longbing Cao
<span title="2021-07-20">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The comparison, criticism and discussion of classic vs. modern AI techniques for finance are followed.  ...  This area has been lasting for decades with both classic and modern AI techniques applied to increasingly broader areas of finance, economy and society.  ...  as stock movement and price prediction [49, 100, 107, 168] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.09051v1">arXiv:2107.09051v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g62cz4dqt5dcrbckn4lbveat3u">fatcat:g62cz4dqt5dcrbckn4lbveat3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210725085857/https://arxiv.org/ftp/arxiv/papers/2107/2107.09051.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6a/85/6a85586fb2c87f303f2da32ba5f1863db2a31072.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.09051v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets [article]

Martin Magris, Mostafa Shabani, Alexandros Iosifidis
<span title="2022-03-07">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
By adopting a state-of-the-art second-order optimization algorithm, we train a Bayesian bilinear neural network with temporal attention, suitable for the challenging time-series task of predicting mid-price  ...  movements in ultra-high-frequency limit-order book markets.  ...  THE MULTI-CLASS CLASSIFICATION TASK ON DIFFERENT STOCKS.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.03613v1">arXiv:2203.03613v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uskoqor3bfearmchgvwyndufzq">fatcat:uskoqor3bfearmchgvwyndufzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220311022835/https://arxiv.org/pdf/2203.03613v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0d/c4/0dc47391bde7094c1f3ea8ed7b7690c4b25f5044.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.03613v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction [article]

Farnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, Arash Mohammadi
<span title="2021-07-08">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Referred to as the COVID-19 adopted Hybrid and Parallel deep fusion framework for Stock price Movement Prediction (COVID19-HPSMP), innovative fusion strategies are used to combine scattered social media  ...  stock market price movements.  ...  This has resulted in a recent surge of interest in ML/AI-based prediction techniques (Hu, 2019; Anik, 2020) and fusion of multi-modal information sources.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2101.02287v2">arXiv:2101.02287v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/57jayumwoze4jjk77xnwtw5gbq">fatcat:57jayumwoze4jjk77xnwtw5gbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210711085508/https://arxiv.org/pdf/2101.02287v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/86/dc866d17fbd3f03b20a9686f543a465a638302d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2101.02287v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Stock Market Analysis with Text Data: A Review [article]

Kamaladdin Fataliyev, Aneesh Chivukula, Mukesh Prasad, Wei Liu
<span title="2021-07-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The aim of this study is to survey the main stock market analysis models, text representation techniques for financial market prediction, shortcomings of existing techniques, and propose promising directions  ...  Stock market movements are influenced by public and private information shared through news articles, company reports, and social media discussions.  ...  They propose a novel stock movement predictive network via incorporative attention mechanisms that uses tweets and historical price data for stock movement prediction. 6 Table 2 . 2 Stock market analysis  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.12985v2">arXiv:2106.12985v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/prfo5c6bmfd3piwpl5yevfycje">fatcat:prfo5c6bmfd3piwpl5yevfycje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716124146/https://arxiv.org/pdf/2106.12985v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/4e/774e275b09b294599cbb3103818ebe7155d9582d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.12985v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Data science and AI in FinTech: An overview [article]

Longbing Cao, Qiang Yang, Philip S. Yu
<span title="2021-07-20">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, TradeTech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and  ...  , multi-domain or multi-modal (e.g., audio-video plus chat) dialogue in EcoFin or by FinTech.  ...  , regression and graph neural networks and deep transfer learning models for representing macro to micro-level financial data or cross-sectional stock representation for portfolio prediction and strategy  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.12681v2">arXiv:2007.12681v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jntzuwaktjg2hmmjypi5lvyht4">fatcat:jntzuwaktjg2hmmjypi5lvyht4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210725085133/https://arxiv.org/ftp/arxiv/papers/2007/2007.12681.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e5/7f/e57f360d4ffd1d3aa1dfbcc92d35b506f46f3afd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.12681v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Applications of deep learning in stock market prediction: recent progress [article]

Weiwei Jiang
<span title="2020-02-29">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Stock market prediction has been a classical yet challenging problem, with the attention from both economists and computer scientists.  ...  Hence, our motivation for this survey is to give a latest review of recent works on deep learning models for stock market prediction.  ...  uses LSTM for the individual stock prediction task and GRU for the index movement prediction task where an additional graph pooling layer is needed. • Capsule Network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.01859v1">arXiv:2003.01859v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rdwsi5xpozfyjeg7oatfzwbg7a">fatcat:rdwsi5xpozfyjeg7oatfzwbg7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321191004/https://arxiv.org/pdf/2003.01859v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.01859v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 8,813 results