Frontiers 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]
Physica 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]
, 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]
E3S 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]
, 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]
, 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?
Neural 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]
, 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]
تحقیقات 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]
arXiv, 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