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ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement

https://doi.org/10.1109/jas.2021.1003976

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1016/0304-405x(81)90018-0openalex-snapshot

The relationship between return and market value of common stocks

inferredcites →https://doi.org/10.1016/b978-0-444-53683-9.00006-2openalex-snapshot

Forecasting Stock Returns

inferredcites →https://doi.org/10.1016/j.acha.2010.04.005openalex-snapshot

Wavelets on graphs via spectral graph theory

inferredcites →https://doi.org/10.1016/j.asoc.2010.09.007openalex-snapshot

Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm

inferredcites →https://doi.org/10.1016/j.cor.2004.03.015openalex-snapshot

A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market

inferredcites →https://doi.org/10.1016/j.cor.2004.03.016openalex-snapshot

Forecasting stock market movement direction with support vector machine

inferredcites →https://doi.org/10.1016/j.ejor.2016.10.031openalex-snapshot

Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500

inferredcites →https://doi.org/10.1016/j.ejor.2017.11.054openalex-snapshot

Deep learning with long short-term memory networks for financial market predictions

inferredcites →https://doi.org/10.1016/j.eswa.2009.05.044openalex-snapshot

An artificial neural network (p,d,q) model for timeseries forecasting

inferredcites →https://doi.org/10.1016/j.eswa.2011.04.222openalex-snapshot

Forecasting stock indices with back propagation neural network

inferredcites →https://doi.org/10.1016/j.ijforecast.2006.03.001openalex-snapshot

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inferredcites →https://doi.org/10.1016/j.jfineco.2014.10.010openalex-snapshot

A five-factor asset pricing model

inferredcites →https://doi.org/10.1016/j.omega.2004.07.024openalex-snapshot

A hybrid ARIMA and support vector machines model in stock price forecasting

inferredcites →https://doi.org/10.1016/j.omega.2011.07.008openalex-snapshot

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inferredcites →https://doi.org/10.1016/j.trc.2017.10.016openalex-snapshot

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inferredcites →https://doi.org/10.1016/s0169-2070(02)00058-4openalex-snapshot

Neural network forecasts of Canadian stock returns using accounting ratios

inferredcites →https://doi.org/10.1103/physrevlett.120.145301openalex-snapshot

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inferredcites →https://doi.org/10.1109/access.2020.2973037openalex-snapshot

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inferredcites →https://doi.org/10.1109/ssci.2018.8628795openalex-snapshot

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inferredcites →https://doi.org/10.1111/j.1540-6261.1977.tb01979.xopenalex-snapshot

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inferredcites →https://doi.org/10.1111/j.1540-6261.1990.tb05110.xopenalex-snapshot

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inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot

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inferredcites →https://doi.org/10.1609/aaai.v32i1.11776openalex-snapshot

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inferred← citeshttps://doi.org/10.2139/ssrn.4506769openalex-extracted

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inferred← citeshttps://doi.org/10.1007/978-3-031-08530-7_2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-96-9650-5_57openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-96-9914-8_31openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00607-025-01573-1openalex-snapshot

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GCN-KAN: A model to extract autocorrelation graph features and fuse Kolmogorov-Arnold networks for stock price trend prediction

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inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102165openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104249openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.iswa.2022.200156openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jksuci.2022.08.033openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.procs.2022.11.242openalex-snapshot

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inferred← citeshttps://doi.org/10.7717/peerj-cs.3959openalex-snapshot

TCGformer: a temporal causal graph enhanced transformer model for multivariate financial time series forecasting

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