SK-MOEFS Multi-Objective Evolutionary Fuzzy System Library effectiveness as User-Friendly Cryptocurrency Prediction Tool

Satyaloka, Dio; Giamiko, Stacyana; Hidayat, Akik

doi:10.1109/icaibda53487.2021.9689763

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…Ref. [33] studied the ability of a multi-objective fuzzy system to predict a bull signal or a bear signal in the cryptocurrency market. The fuzzy sets were partitioned as very low, low, medium, high, and very high, later to be used to signal whether a cryptocurrency is bearish or bullish on a specific day.…”

Section: Fuzzy Systemsmentioning

confidence: 99%

Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies

Cohen

2022

Mathematics

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Artificial Intelligence (AI) has been recently recognized as an essential aid for human traders. The advantages of the AI systems over human traders are that they can analyze an extensive data set from different sources in a fraction of a second and perform actual high-frequency trading (HFT) that can take advantage of market anomalies and price differences. This paper reviews the most important papers published in recent years that use the most advanced techniques to forecast financial asset trends and answer the question of whether those techniques can be used to successfully trade the complex financial markets. All systems use deep learning (DL) and machine learning (ML) protocols to explore nonobvious correlations and phenomena that influence the probability of trading success. Their predictions are based on linear or nonlinear models often combined with social media investors’ sentiment derivations or pattern recognitions. Most of the reviewed papers have proven the successful ability of their developed system to trade the financial markets.

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Section: Fuzzy Systemsmentioning

confidence: 99%

Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies

Cohen

2022

Mathematics

View full text Add to dashboard Cite

show abstract

SK-MOEFS Multi-Objective Evolutionary Fuzzy System Library effectiveness as User-Friendly Cryptocurrency Prediction Tool

Cited by 1 publication

References 6 publications

Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies

Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies

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