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IEEE Access, 2023 Technical indicators and mining sequence are often optimized separately when optimizing metal mine production. This approach ignores the mutual influence between indicators and mining sequence, and the optimization results may not reach the global ...
Xunhong Wang, Cong Ma
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Technical Indicators and Prediction for Energy Market Forecasting [PDF]
, 2020 Machine learning usage for forecasting is popular in financial trading, particularly for stock price prediction and this is often combined with technical indicators to extract key predictive indicators from large time series trading datasets.
McHugh, Catherine +2 more
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Can the Exchange Rate Be Used to Predict the Shanghai Composite Index?
IEEE Access, 2020 Stock index price forecasting is a consistent focus of business intelligence. Various factors influence stock index price forecasting, such as technical indicators, financial news, business status, and the macroeconomics situation.
Jun Zhang +6 more
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Applied Sciences, 2019 Day-ahead electricity market (DAM) volatility and price forecast errors have grown in recent years. Changing market conditions, epitomised by increasing renewable energy production and rising intraday market trading, have spurred this growth. If forecast
Sumeyra Demir +3 more
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Technical Indicators for Hourly Energy Market Trading [PDF]
, 2020 Financial trading often combines machine learning and technical indicators to accurately predict future market prices. Energy data and financial data have similar features; therefore, this research derives eight electricity price technical indicators to ...
Kerr, Dermot +3 more
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Stock Price Prediction Using Deep Learning (LSTM) with a Recursive Approach
Journal of Applied Informatics and ComputingStock price prediction is a critical topic in financial technology research, as accurate forecasts support better decision-making in volatile markets. Numerous studies have applied statistical and machine learning models; however, most focus on one-step ...
Muhamad Syukron Zakka +1 more
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A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine
Data, 2019 This paper intends to present a new model for the accurate forecast of the stock’s future price. Stock price forecasting is one of the most complicated issues in view of the high fluctuation of the stock exchange and also it is a key issue for ...
Mojtaba Sedighi +3 more
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Information, 2020 Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it.
Ernest Kwame Ampomah +2 more
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Evaluation of Differential Evolution and Particle Swarm Optimization Algorithms at Training of Neural Network for prediction [PDF]
IJCI International Journal of Computers and Information, 2014 This paper presents the comparison of two metaheuristic approaches: Differential Evolution (DE) and Particle Swarm Optimization (PSO) in the training of feed-forward neural network to predict the daily stock prices.
Mustafa Abdelsalam +2 more
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Editorial: Discourse on Technical Education in Times of Corona [PDF]
, 2021 Editorial: Discourse on Technical Education in Times of CoronaEditorial: Discourse on Technical Education in Times of ...
Pittich, Daniel
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