24 papers · ranked by Valyu relevance
V. Lanzetta
Literature highlighted that financial time series data pose significant challenges for accurate stock price prediction, because these data are characterized by noise and susceptibility to news; traditional statistical methodologies made assumptions, such as linearity and normality, which are not suitable for the…
Georgios Sermpinis, Arman Hassanniakalager, Charalampos Stasinakis, Ioannis Psaradellis
'Ioannis Psaradellis'] We investigate the performance of dynamic portfolios constructed using more than 21,000 technical trading rules on 12 categorical and country-specific markets over the 2004-2015 study period, on rolling forward structures of different lengths. We also introduce a discrete false discovery rate…
Marco Antonio de Barros Penteado
This work tried to detect the existence of a relationship between the graphic signals - or patterns - observed day by day in the Brazilian stock market and the trends which happen after these signals, within a period of 8 years, for a number of securities. The results obtained from this study show evidence of the…
Yi Liang, James Unwin
We propose that technical analysis tools developed to give buy/sell signals in asset trading can be applied to analyze time series datasets in the natural sciences, and we show this explicitly for a study of WHO COVID-19 data. Notably, reliable short term forecasting can provide potentially lifesaving insights into…
Ansari Saleh Ahmar
The purpose of this research is to apply technical analysis of Sutte Indicator in stock trading which will assist in the investment decision making process i.e. buying or selling shares. This research takes data of "A" on the Indonesia Stock Exchange (IDX or BEI) 29 November2006 until 20 September 2016 period. To see…
Rui Menoita, Sara Silva
Establishing profitable trading strategies in financial markets is a challenging task. While traditional methods like technical analysis have long served as foundational tools for traders to recognize and act upon market patterns, the evolving landscape has called for more advanced techniques. We explore the use of…
Ioana-Andreea Boboc, Mihai-Cristian Dinică, Rodrigo Huerta-Quintanilla
'Rodrigo Huerta-Quintanilla'] The objective of this research is to examine the efficiency of EUR/USD market through the application of a trading system. The system uses a genetic algorithm based on technical analysis indicators such as Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD)…
Jing-Chao Chen, Zhou Yu, Xi Wang
Technical trading rules have been widely used by practitioners in financial markets for a long time. The profitability remains controversial and few consider the stationarity of technical indicators used in trading rules. We convert MA, KDJ and Bollinger bands into stationary processes and investigate the profitability…
Piyapas Tharavanij, Vasan Siraprapasiri, Kittichai Rajchamaha
This paper examines the profitability of technical trading rules in the five Southeast Asian stock markets. The data cover a period of 14 years from January 2000 to December 2013. The instruments investigated are five Southeast Asian stock market indices: SET index (Thailand), FTSE Bursa Malaysia KLC index (Malaysia)…
Jacinta Chan Phooi M’ng, Rozaimah Zainudin, Alejandro Raul Hernandez Montoya
'Alejandro Raul Hernandez Montoya'] The objective of this research is to examine the trends in the exchange rate markets of the ASEAN-5 countries (Indonesia (IDR), Malaysia (MYR), the Philippines (PHP), Singapore (SGD), and Thailand (THB)) through the application of dynamic moving average trading systems. This research…
Oday A. Hassen, Saad M. Darwish, Nur A. Abu, Zaheera Z. Abidin
Forecasting stock prices plays an important role in setting a trading strategy or determining the appropriate timing for buying or selling a stock. The use of technical analysis for financial forecasting has been successfully employed by many researchers. The existing qualitative based methods developed based on fuzzy…
Guifen Ma, Ping Chen, Zhaoshan Liu, Jia Liu
This study aims to accurately predict the changing trend of stocks in stock trading so that company investors can obtain higher returns. In building a financial forecasting model, historical data and learned parameters are used to predict future stock prices. Firstly, the relevant theories of stock forecasting are…
Cheng Jia, Derek Kelly, Junhyong Kim, Mingyao Li + 1 more
Recent technological breakthroughs have made it possible to measure RNA expression at the single-cell level, thus paving the way for exploring expression heterogeneity among individual cells. Current single-cell RNA sequencing (scRNA-seq) protocols are complex and introduce technical biases that vary across cells…
Yuhsin Chen, Paoyu Huang, Min-Yuh Day, Yensen Ni + 2 more
'Stefan Cristian Gherghina'] We investigate whether using various VMA trading rules would improve investment performance due to the flexibility of VMA trading rules and the aid of Heatmap Visualization. Previously, investors frequently chose the best performance derived from limited VMA trading rules. However, our new…
Anderson A. Butler, Jason Kras, Karolina Chwalek, Enrique I. Ramos + 3 more
DNA methylation microarrays have become a widely used tool for investigating epigenetic modifications in various aspects of biomedical research. However, technical variability in methylation data poses challenges for downstream applications such as predictive modeling of health and disease. In this study, we measure…
Sophie Bérubé, Tamaki Kobayashi, Amy Wesolowski, Douglas E. Norris + 3 more
Technical variation, or variation from non-biological sources, is present in most laboratory assays. Correcting for this variation enables analysts to extract a biological signal that informs questions of interest. However, each assay has different sources and levels of technical variation and the choice of correction…
Asia Mendelevich, Saumya Gupta, Aleksei Pakharev, Athanasios Teodosiadis + 2 more
Analysis of allele-specific expression is strongly affected by the technical noise present in RNA-seq experiments. Previously, we showed that technical replicates can be used for precise estimates of this noise, and we provided a tool for correction of technical noise in allele-specific expression analysis. This…
Remo Pareschi, Federico Zappone
The successes of Artificial Intelligence in recent years in areas such as image analysis, natural language understanding and strategy games have sparked interest from the world of finance. Specifically, there are high expectations, and ongoing engineering projects, regarding the creation of artificial agents, known as…
Authors not listed
Climate change mitigation is driving growing innovation in bio-materials production technologies, with a focus on improving their environmental sustainability. This study presents a decision-support framework based on a careful integration of technical requirements, implemented in a process digital twin and life cycle…
Yalin Li, John Trimmer, Steven Hand, Xinyi Zhang + 6 more
The pursuit of sustainability has catalyzed broad investment in the research, development, and deployment (RD&D) of innovative water, sanitation, and resource recovery technologies, yet the lack of transparent and agile methodologies to navigate the expansive landscape of technology development pathways remains a…
Jamie W. Gittins, Yuan Chen, Stefanie Arnold, Veronica Augustyn + 24 more
Jamie W. Gittins 1 , Yuan Chen2,1 , Stefanie Arnold3,4 , Veronica Augustyn 5 , Andrea Balducci 6 , Thierry Brousse7,8 , Elzbieta Frackowiak 9 , Pedro Gómez-Romero 10 , Archana Kanwade 11 , Lukas Köps 6 , Plawan Kumar Jha 12 , Dongxun Lyu 1 , Michele Meo 13 , Deepak Pandey 14 , Le Pang 15 , Volker Presser 4,3,16 , Mario…
John Young, Noah McQueen, Charithea Charalambous, Spyros Foteinis + 8 more
Direct air capture and storage is a technological solution to removing CO2 from our atmosphere that is deemed necessary to reach climate targets. However, huge question marks remain over the current and future costs. Here, we show the cost of DACS, for four example technologies, of plants built today before we project…
Zahrah Fayez Althobaiti
Predicting the economic implications of gas emissions and their repercussions is criti-cal to policymakers, especially given the current increasing trend in volume. Therefore, study on gas emission prediction is required. A hybrid model is proposed for forecasting CO_2_ emissions of Bahrain (BH) in this study. Singular…
Authors not listed
E-liquids stocked inside unregulated disposable vaping devices are subjected to corrosion effects from their chemical interaction with metallic parts during their likely long-time storage. Consequently, aerosols generated from these e-liquids likely contain abundant yields of metallic elements, an outcome that becomes…