Results 11 to 20 of about 5,659 (253)
Using algorithmic trading to analyze short term profitability of Bitcoin [PDF]
PeerJ Computer Science, 2021 Cryptocurrencies such as Bitcoin (BTC) have seen a surge in value in the recent past and appeared as a useful investment opportunity for traders. However, their short term profitability using algorithmic trading strategies remains unanswered.
Iftikhar Ahmad +4 more
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Additional Limit Conditions for Breakout Trading Strategies [PDF]
Informatică economică, 2019 One of the most popular trading methods used in financial markets is the Turtle strategy. Long time passed since the middle of 1983 when Richard Dennis and Bill Eckhardt disputed about whether great traders were born or made.
Cristian PAUNA
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Social signals and algorithmic trading of Bitcoin [PDF]
Royal Society Open Science, 2015 The availability of data on digital traces is growing to unprecedented sizes, but inferring actionable knowledge from large-scale data is far from being trivial.
David Garcia, Frank Schweitzer
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A deep learning algorithm for optimal investment strategies
, 2021 This paper treats the Merton problem how to invest in safe assets and risky assets to maximize an investor's utility, given by investment opportunities modeled by a $d$-dimensional state process. The problem is represented by a partial differential equation with optimizing term: the Hamilton-Jacobi-Bellman equation. The main purpose of this paper is to
Gim, Daeyung, Park, Hyungbin
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Data-driven strategies for optimal bicycle network growth [PDF]
Royal Society Open Science, 2020 Urban transportation networks, from pavements and bicycle paths to streets and railways, provide the backbone for movement and socioeconomic life in cities.
Luis Guillermo Natera Orozco +3 more
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Multi-Feature Supervised Reinforcement Learning for Stock Trading
IEEE Access, 2023 Deep reinforcement learning (DRL) algorithm is often used to find the best trading strategy in algorithmic trading. However, the classical DRL model is difficult to achieve rapid convergence, and the features extracted from the market data are relatively
Kui Fu, Yidong Yu, Bing Li
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AI-empowered financial stock: A survey [PDF]
AIP AdvancesIn recent years, artificial intelligence (AI) technology has profoundly reshaped the financial stock sector, driving the intelligent transformation of quantitative trading, risk assessment, and investment decision-making.
Wenjun Qi, Xiangwen Xue, Xinmin Tian
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Digital Financial Transformation and ESG-Oriented Investment Strategies: Emerging Paradigms in Global Commercial Sustainability [PDF]
Shodh SariThe global financial landscape is undergoing a structural reconfiguration shaped by rapid digital innovation and an expanding commitment to sustainability-driven investment frameworks.
Ms. Meenakshi Ahuja
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3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments 2021, 2021 The article summarizes the accumulated practical experience of the authors in the development of algorithms for the formation of investment strategies. For this purpose, the optimization of the studied parameters, information support of investment activities, verification, monitoring and adjustment in the testing mode and the subsequent practical ...
David Gercekovich +4 more
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Asset Management Models of Institutional Investors Under High Volatility in 2022–2024
Мир новой экономикиSubject. This article examines portfolio-based asset management models employed by institutional investors amid the high volatility observed in financial markets during the period from 2022 to 2024.
E. O. Trakhimets, O. S. Vinogradova
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