Forecasting spot and future gold coin price volatility and their predictive power on each other by using ANN-GARCH model [PDF]
A large number of investors have been attracted to the Iran Mercantile Exchange as a result of launching Bahar Azadi Coin future contracts, also known as gold coin future contracts, since 2007.
Nafiseh Shahmoradi, Hasan Ghalibaf Asl
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Research on stock price prediction from a data fusion perspective
Due to external factors such as political influences, specific events and sentiment information, stock prices exhibit randomness, high volatility and non-linear characteristics, making accurate predictions of future stock prices based solely on ...
Aihua Li +3 more
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How Does Oil Future Price Imply Bunker Price—Cointegration and Prediction Analysis
This paper investigates how oil’s future price implies the bunker price through cointegration analysis first. A cointegration test confirms the long-run equilibrium condition of bunker and oil future prices.
Yanhui Chen, Jinrong Lu, Mengmeng Ma
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Progress and prospects of data-driven stock price forecasting research
With the rapid development of social economy and the continuous improvement of stock market, stock investment has become more and more widely concerned. Stock price prediction has become an important research direction in the field of cognitive computing
Chuanjun Zhao +8 more
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A Review of the Fractal Market Hypothesis for Trading and Market Price Prediction
This paper provides a review of the Fractal Market Hypothesis (FMH) focusing on financial times series analysis. In order to put the FMH into a broader perspective, the Random Walk and Efficient Market Hypotheses are considered together with the basic ...
Jonathan Blackledge, Marc Lamphiere
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Agricultural Product Price Forecasting Methods: A Review
Agricultural price prediction is a hot research topic in the field of agriculture, and accurate prediction of agricultural prices is crucial to realize the sustainable and healthy development of agriculture.
Feihu Sun +5 more
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Prediction of Future Stock Price Using Recurrent Neural Network
The stock market can affect businesses in various ways, as the rise and fall of a company's share price values impact its market capitalization and overall market value.
Nur Izzah Atirah Mohd Ikhram +4 more
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Understanding Bitcoin Price Prediction Trends under Various Hyperparameter Configurations
Since bitcoin has gained recognition as a valuable asset, researchers have begun to use machine learning to predict bitcoin price. However, because of the impractical cost of hyperparameter optimization, it is greatly challenging to make accurate ...
Jun-Ho Kim, Hanul Sung
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Coke Price Prediction Based on ELM Optimized by Double-elite Evolution Salp Swarm Algorithm [PDF]
Coke is one of important industrial raw materials,and accurate prediction of its future price trend has great significance for making production scheduling plans of coking plants.Extreme learning machine(ELM) has strong generalization ability and fast ...
ZHU Xuhui, SHE Xiaomin, NI Zhiwei, XIA Pingfan, ZHANG Chen
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Technical indicators for energy market trading
Technical indicators have been widely applied to the financial trading market, often combined with machine learning algorithms, to predict future stock market prices.
Catherine McHugh +2 more
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