March 25, 2016Open Access

Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction

Key Points

Key points are not available for this paper at this time.

Abstract

The effectiveness of long short term memory networks trained by backpropagation through time for stock price prediction is explored in this paper. A range of different architecture LSTM networks are constructed trained and tested.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Cite this study

Hengjian Jia (Fri,) studied this question.

synapsesocial.com/papers/6a1bc3a05b8f4ede65a8faf8 — DOI: https://doi.org/10.48550/arxiv.1603.07893

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Learning to forget: continual prediction with LSTM· 1999 · 2,407 citations
Adam: A Method for Stochastic Optimization· 2014 · 84,773 citations
Long Short-Term Memory· 1997 · 97,540 citations
Learning long-term dependencies in NARX recurrent neural networks· 1996 · 788 citations
Gradient calculations for dynamic recurrent neural networks: a survey· 1995 · 591 citations

Authors

Hengjian Jia

University of Warwick

Actions

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Learning to forget: continual prediction with LSTM· 1999 · 2,407 citations
Adam: A Method for Stochastic Optimization· 2014 · 84,773 citations
Long Short-Term Memory· 1997 · 97,540 citations
Learning long-term dependencies in NARX recurrent neural networks· 1996 · 788 citations
Gradient calculations for dynamic recurrent neural networks: a survey· 1995 · 591 citations

Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Also consider

Authors

Actions

References and Citations

Citation Network

Connected Papers

Discussion

Also consider