Results 11 to 20 of about 707,608 (244)

A Bitcoin price prediction model assuming oscillatory growth and lengthening cycles

open access: yesCogent Economics & Finance, 2022
This article’s motivation is to understand the volatile Bitcoin price increase. The objective is to develop price estimation methods. The methodology is to present five differential equation models estimated against the 23 July 2010–21 June 2021 Bitcoin ...
Guizhou Wang, Kjell Hausken
doaj   +1 more source

Predicting the Price of Bitcoin Using Hybrid ARIMA and Deep Learning [PDF]

open access: yesMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2021
Recently, Bitcoin as the most popular cryptocurrency, has attracted the attention of many investors and economic actors. The cryptocurrency market has experienced a sharp fluctuation, and one of the challenges is to predict future prices.
aboosaleh mohammadsharifi   +3 more
doaj   +1 more source

Exploiting Artificial Neural Networks for the Prediction of Ancillary Energy Market Prices

open access: yesEnergies, 2018
The increase of distributed energy resources in the smart grid calls for new ways to profitably exploit these resources, which can participate in day-ahead ancillary energy markets by providing flexibility.
Christian Giovanelli   +3 more
doaj   +1 more source

Real estate valuation models performance in price prediction

open access: yesInternational Journal of Strategic Property Management, 2022
Using a sample of 900 apartments from Cluj-Napoca, Romania, containing selling transactions for the second semester of 2019, and data for 33 locational, physical and neighbourhood-related attributes (socio-cultural, environmental, and urbanism related ...
Adela Deaconu   +2 more
doaj   +1 more source

Clearing price distributions in call auctions [PDF]

open access: yes, 2019
We propose a model for price formation in financial markets based on clearing of a standard call auction with random orders, and verify its validity for prediction of the daily closing price distribution statistically.
de Vilder, R., Derksen, M., Kleijn, B.
core   +2 more sources

DL-GuesS: Deep Learning and Sentiment Analysis-Based Cryptocurrency Price Prediction

open access: yesIEEE Access, 2022
Cryptocurrencies are peer-to-peer-based transaction systems where the data exchanges are secured using the secure hash algorithm (SHA)-256 and message digest (MD)-5 algorithms.
Raj Parekh   +7 more
doaj   +1 more source

Predicting Gold Ores Price [PDF]

open access: yesSSRN Electronic Journal, 2009
It was demonstrated that gold ores price can be predicted at a several year horizon. The prediction consists of three steps. First, we show that the difference between producer price index and the index for gold ores is characterized by the presence of sustainable mid-term trends.
openaire   +1 more source

Forecasting Brazilian Ethanol Spot Prices Using LSTM

open access: yesEnergies, 2021
Ethanol is one of the most used fuels in Brazil, which is the second-largest producer of this biofuel in the world. The uncertainty of price direction in the future increases the risk for agents operating in this market and can affect a dependent price ...
Gustavo Carvalho Santos   +3 more
doaj   +1 more source

Enhancing Cryptocurrency Price Forecasting by Integrating Machine Learning with Social Media and Market Data

open access: yesAlgorithms, 2023
Since the advent of Bitcoin, the cryptocurrency landscape has seen the emergence of several virtual currencies that have quickly established their presence in the global market.
Loris Belcastro   +4 more
doaj   +1 more source

Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit

open access: yesData, 2022
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. To
Chuen Yik Kang   +2 more
doaj   +1 more source

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