Results 51 to 60 of about 7,854,928 (280)

A pathway towards the development and evolution of consumer behavior: Policy directions for sustainable development and improvement of nutrition

open access: yesFrontiers in Nutrition, 2022
IntroductionThe virtuality, concealment, uncertainty and complexity of online trading make the online food trading market have security risks, while the lack of information, information asymmetry and imperfect market system make the “lemon problem” in ...
Fang Su   +5 more
doaj   +1 more source

Trading strategies in the Italian interbank market [PDF]

open access: yesPhysica A: Statistical Mechanics and its Applications, 2007
19 ...
Iori G.   +3 more
openaire   +8 more sources

Investment in High Frequency Trading Technology: A Real Options Approach [PDF]

open access: yes, 2018
This paper derives an optimal timing strategy for a regular slow trader considering investing in a high-frequency trading (HFT) technology. The market is fragmented, and slow traders compete with fast traders for trade execution.
Delaney, L.
core   +1 more source

A strategy for electricity buyers in futures markets [PDF]

open access: yesE3S Web of Conferences, 2020
This paper presents an original trading strategy for electricity buyers in futures markets. The strategy applies a medium-term electricity price forecasting model to predict the monthly average spot price which is used to evaluate the Risk Premium for a ...
Monteiro Claudio   +2 more
doaj   +1 more source

LETS get real: constraints on the development of Local Exchange Trading Schemes [PDF]

open access: yes, 2004
Local Exchange Trading Schemes (LETS) are widely promoted as a new tool for local economic development, but until recently the focus has been on their alleged ‘potential’ rather than the realities of their operation.
Aldridge, T. J., Patterson, A.
core   +1 more source

Evaluation of pairs trading strategy at the Brazilian financial market [PDF]

open access: yes, 2007
Pairs trading is a popular trading strategy that tries to take advantage of market inefficiencies in order to obtain profit. The idea is simple: find two stocks that move together and take long/short positions when they diverge abnormally, hoping that ...
Perlin, M.
core  

DEEP LEARNING FOR STOCK MARKET TRADING: A SUPERIOR TRADING STRATEGY?

open access: yesNeural Network World, 2019
Deep-learning initiatives have vastly changed the analysis of data. Complex networks became accessible to anyone in any research area. In this paper we are proposing a deep-learning long short-term memory network (LSTM) for automated stock trading.
D. Fister   +3 more
semanticscholar   +1 more source

Evolutionary computation enabled game theory based modelling of electricity market behaviours and applications [PDF]

open access: yes, 2007
The collapse of the Californian electricity market system in 2001 has highlighted urgency in research in intelligent electricity trading systems and strategies involving both suppliers and customs.
Chen, W., Li, Y., Yin, J.
core   +1 more source

Paired Trading Strategy Optimization Using the Reinforcement Learning Method: Intraday Data of Tehran Stock Exchange [PDF]

open access: yesتحقیقات مالی, 2019
Objective: Paired trading is among the most well-known and oldest algorithmic trading systems. The efficiency and profitability of this system have been demonstrated in many studies conducted so far in financial markets.
Saeid Fallahpour, Hasan Hakimian
doaj   +1 more source

Financial Trading with Feature Preprocessing and Recurrent Reinforcement Learning [PDF]

open access: yesarXiv, 2021
Financial trading aims to build profitable strategies to make wise investment decisions in the financial market. It has attracted interests in the machine learning community for a long time. This paper proposes to trade financial assets automatically using feature preprocessing skills and Recurrent Reinforcement Learning (RRL) algorithm.
arxiv  

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