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Jul 19, 2018 · In this paper, we propose a multidimensional similarity-calculating function to seek out relevant stocks, the technical indicators of which are ...
In this paper, we propose a multidimensional similarity-calculating function to seek out relevant stocks, the technical indicators of which are then fed into NN ...
Importance-Weighted Distance Aware Stocks Trend Prediction
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Jul 23, 2018 · In this paper, we propose a multidimensional similarity-calculating function to seek out relevant stocks, the technical indicators of which are ...
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Importance-Weighted Distance Aware Stocks Trend Prediction · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related ...
Therefore, it is feasible to predict stock and Forex trends with deep learning. Financial researchers around the world have been studying and analysing the.
Therefore, this paper presents a new knowledge graph and deep learning method combined with a stock price prediction network focusing on related stocks and ...
If stock traders predict trends in stock prices correctly, they can realize significant profits. Therefore, prediction of future stock market trends is very.
Jan 3, 2020 · Our work has found that an attention-based LSTM has more predictive outcomes for price prediction than other methods. However, simply ...
Aug 28, 2020 · The system achieves overall high accuracy for stock market trend prediction. With the detailed design and evaluation of prediction term lengths, ...
