23 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…
Geofrey Ntale
Large Language Models (LLMs) have emerged as powerful tools for processing the heterogeneous information environments of modern financial markets. This paper presents a systematic, comparative evaluation of five prominent LLMs: GPT-4 Turbo, Claude 3 Opus, Gemini 1.5 Pro, Llama 3 70B, and the domain-specialized FinGPT…
Kiran Sharma, Abhijit Dutta, Rupak Mukherjee
Post Modigliani and Miller (1958), the concept of usage of arbitrage created a permanent mark on the discourses of financial framework. The arbitrage process is largely based on information dissemination amongst the stakeholders operating in the financial market. The advent of the efficient market Hypothesis (Fama…
Pat Tong Chio
In recent years, more and more investors use technical analysis methods in their own trading. Evaluating the effectiveness of technical analysis has become more feasible due to increasing computing capability and blooming public data, which indie investors can perform stock analysis and backtest their own trading…
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…
Takanobu Mizuta, Isao Yagi, Kosei Takashima
—Most finance studies are discussed on the basis of several hypotheses, for example, investors rationally optimize their investment strategies. However, the hypotheses themselves are sometimes criticized. Market impacts, where trades of investors can impact and change market prices, making optimization impossible. In…
Anish Rai, Salam Rabindrajit Luwang, Md. Nurujjaman, Chittaranjan Hens + 2 more
'Chittaranjan Hens' 'Pratyay Kuila' 'Kanish Debnath'] The sporadic large fluctuations are seen in the stock market due to changes in fundamental parameters, technical setups, and external factors. These large fluctuations are termed as Extreme Events (EE). The EEs may be positive or negative depending on the impact of…
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…
Ikhlaas Gurrib, Mohammad Nourani, Rajesh Kumar Bhaskaran
This paper investigates the role of Fibonacci retracements levels, a popular technical analysis indicator, in predicting stock prices of leading U.S. energy companies and energy cryptocurrencies. The study methodology focuses on applying Fibonacci retracements as a system compared with the buy-and-hold strategy. Daily…
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…
Yujia Chen, Jiangdan Liu, Yanzi Gao, Wei He + 3 more
'Guangling Zhang' 'Hongwei Wei'] Stock market analysis is helpful for investors to make reasonable decisions and maintain market stability, and it usually involves not only quantitative data but also qualitative information, so the analysis method needs to have the ability to deal with both types of information…
Cheng Liu
To explore the influence of technical actions on badminton competition outcomes, this study analyzes the frequency and impact of specific movements made by players, distinguishing between the server and receiver roles. Focusing on international competitions from 2019 to 2023, we collected data on 23 distinct technical…
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…
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…
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…
Authors not listed
Antioxidant tests have been applied in various tests of foods and beverages in various forms, even in nanoscale. Information on antioxidant activity is important as an indicator that handles free radicals. So far, many antioxidant tests have used DPPH reagent, commonly known as the DPPH method. By referring to SNI, its…
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…
Aurèle Boussard, Patrick Arrufat, Audrey Dussutour, Alfonso Pérez-Escudero
Growth and motion quantification is a crucial step in studying the evolution, growth and behavior of many species. However, there is no free and easy to use software to automatically quantify the growth of an organism, and that works across a wide range of species. To fill this gap, we developed Cellects, an…
Renfei Chen
In addition to allometric biomass partitioning theory, optimal partitioning theory is one of the most important theoretical frame-works in predicting plant biomass allocation patterns. However, focus-ing on the equilibrium state leads to a mismatch between some empirical observations and estimations from optimal…
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…
Yue Lin, James Rosindell, Uta Berger, Helge Bruelheide + 2 more
Ecological and economic systems both comprise of autonomous adaptive agents. It is thus possible that similar mechanisms determine the organization of both these complex systems. Indeed several economic theories have already been successfully applied in an ecological context. Here we show that ‘efficient market theory’…