A graph-based CNN-LSTM stock price prediction algorithm with leading indicators
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00758-w
Abstract: In today’s society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, savings, bank financial products,… read more here.
Keywords: prediction; cnn; investment; price prediction ... See more keywords
The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Operations Research"
DOI: 10.1007/s10479-020-03690-w
Abstract: As stock data is characterized by highly noisy and non-stationary, stock price prediction is regarded as a knotty problem. In this paper, we propose new two-stage ensemble models by combining empirical mode decomposition (EMD) (or… read more here.
Keywords: machine; mode decomposition; elm; price prediction ... See more keywords
Using Deep Learning to Develop a Stock Price Prediction Model Based on Individual Investor Emotions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Behavioral Finance"
DOI: 10.1080/15427560.2020.1821686
Abstract: Abstract The general purpose of stock price prediction is to help stock analysts design a strategy to increase stock returns. We present the conceptual framework of an emotion-based stock prediction system (ESPS) focused on considering… read more here.
Keywords: using deep; price prediction; stock price; stock ... See more keywords
Fusion in Cryptocurrency Price Prediction: A Decade Survey on Recent Advancements, Architecture, and Potential Future Directions
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DOI: 10.1109/access.2022.3163023
Abstract: Cryptographic forms of money are distributed peer-to-peer (P2P) computerized exchange mediums, where the exchanges or records are secured through a protected hash set of secure hash algorithm-256 (SHA-256) and message digest 5 (MD5) calculations. Since… read more here.
Keywords: forms money; money; price prediction; cryptocurrency ... See more keywords
Real-Trading-Oriented Price Prediction with Explainable Multi-objective Optimization in Quantitative Trading
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DOI: 10.1109/access.2022.3175842
Abstract: Price prediction using machine learning is a heated topic and an effective task in quantitative trading. However, the objectives that existing researches focus on are typically naive and can hardly express the diverse properties in… read more here.
Keywords: quantitative trading; trading; real trading; price prediction ... See more keywords
A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3177888
Abstract: Cryptocurrency has recently attracted substantial interest from investors due to its underlying philosophy of decentralization and transparency. Considering cryptocurrency’s volatility and unique characteristics, accurate price prediction is essential for developing successful investment strategies. To this… read more here.
Keywords: chain data; cryptocurrency; prediction; price ... See more keywords
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-Focused Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3166791
Abstract: Electricity price prediction plays a vital role in energy storage system (ESS) management. Current prediction models focus on reducing prediction errors but overlook their impact on downstream decision-making. So this paper proposes a decision-focused electricity… read more here.
Keywords: price prediction; prediction; decision; approach ... See more keywords
Using Kernel Method to Include Firm Correlation for Stock Price Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4964394
Abstract: In this work, we propose AGKN (attention-based graph learning kernel network), a novel framework to incorporate information of correlated firms of a target stock for its price prediction in an end-to-end way. We first construct… read more here.
Keywords: stock price; prediction; kernel method; attention ... See more keywords
Impact of chart image characteristics on stock price prediction with a convolutional neural network
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0253121
Abstract: Stock price prediction has long been the subject of research because of the importance of accuracy of prediction and the difficulty in forecasting. Traditionally, forecasting has involved linear models such as AR and MR or… read more here.
Keywords: characteristics stock; price prediction; stock price; stock ... See more keywords
Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit
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DOI: 10.3390/data7110149
Abstract: Virtual currencies have been declared as one of the financial assets that are widely recognized as exchange currencies. The cryptocurrency trades caught the attention of investors as cryptocurrencies can be considered as highly profitable investments.… read more here.
Keywords: neural network; convolutional neural; cryptocurrency; stacked gated ... See more keywords
Predicting Post-Production Biomass Prices
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DOI: 10.3390/en16083470
Abstract: This paper presents the application of prediction in the analysis of market price volatility in Polish conditions of wood processing by-products in the form of biomass. The ARIMA model, which takes into account cyclical, seasonal,… read more here.
Keywords: predicting post; biomass; prediction; post production ... See more keywords