Results 121 to 130 of about 4,979 (288)

Investment strategies based on investors’ mood: Better for crypto

open access: yes
Objective.Analyze the utility of an algorithmic trading system based on artificial intelligence models that uses Google Trends as predictor of dozens of financial terms, to predict the evolution of S&P 500 index and Bitcoin. Methodology.
Gómez Martínez, Raúl   +2 more
core   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Research on Investment Strategies Considering Investors' Emotions Based on Optimized CNN Algorithm

open access: yes, 2023
: This paper explores how to extract investor sentiment in text using an optimized convolutional neural network algorithm and form investor opinions based on it, so as to construct a portfolio model with a higher rate of return. Specifically, based on the text data of SSE 50 constituent stocks in the Oriental Fortune stock bar, the optimized ...
openaire   +2 more sources

Algorithmic finance and the Anthropogenic environmental crisis in accelerando:Science of finance capital as catalyst of climate change

open access: yes
High-frequency trading in financial markets is increasingly discursively related to climate change and produces peculiar iterative patterns of accommodation and reinforcement of environmental externalities.
Grindsted, Thomas Skou
core   +1 more source

A Service of zbw Leibniz-Informationszentrum Wirtschaft Leibniz Information Centre for Economics Algorithmic and high-frequency trading strategies: A literature review Alexandru Mandes Algorithmic and High-Frequency Trading Strategies: A Literature Review

open access: yes, 2020
Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.
Alexandru Mandes
core  

Algorithmic Trading Strategies: Automating and Back-testing the Perfect Order Strategy

open access: yes, 2022
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and ManagementThe evolution of technology alongside the development of new techniques of ...
Pereira, Otavio Silva
core  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Spatiotemporal Return Decomposition and Multi-Strategy Performance Analysis in Dow Jones Industrial Average Constituents: A 20-Year Empirical Investigation

open access: yesInternational Journal of Financial Studies
This paper presents a comprehensive spatiotemporal decomposition of equity returns for nine top-weighted constituents of the Dow Jones Industrial Average (DJIA) over a twenty-year period spanning January 2004 through December 2023, encompassing 5033 ...
Sarthak Pattnaik   +2 more
doaj   +1 more source

Searching for the best investment strategy: arima models, algorithmic trading, holding.

open access: yes
With today’s technologies, investing has never been easier. However, given the wide variety of investment methods, it is important to do it as profitably as possible.
Janušauskas, Julius,
core  

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