Foreseeing assumes an indispensable part in setting exchanging methodology or deciding the ideal opportunity to purchase sell stock. We propose element combination long transient memory-convolutional neural organization (LSTM-CNN) model, which joins highlights gained from various presentations of similar information, i.e., stock timetable and outline pictures, anticipate costs. The proposed mod...

a r t i c l e i n f o JEL classification: C52 C53 Q47 Keywords: Oil prices Futures markets Stochastic processes Kalman filter Forecasting Stochastic process models of commodity prices are important inputs in energy investment evaluation and planning problems. In this paper, we focus on modeling and forecasting the long-term price level, since it is the dominant factor in many such applications....

Technical analysis is the forecasting of future price movement based on an examination of past prices. Some scientist found that the study of historical prices cannot predict future prices. In this research we intend to study which technical analysis tool is better for prediction of future price movement, for this purpose we are studying two the most strongest technical analysis tools is called...

Establishing and prioritising the factors that may influence the final contract price when responding to a call for tenders is crucial for proper risk analysis and reliable forecasting; it could make or mar the ability to achieve expected profit margin in an era of lump sum fixed price contracts where clients often contest variation claims. In New Zealand, these factors have not been researched...

E-consumers face biggest challenge of opting for the best bidding strategies for competing in an environment of multiple and simultaneous online auctions for same or similar items. It becomes very complicated for the bidders to make decisions of selecting which auction to participate in, place single or multiple bids, early or late bidding and how much to bid. In this paper, we present the desi...

A promising approach to hedge against the inherent uncertainty of renewable generation is to equip the renewable plants with energy storage systems. This paper focuses on designing profit maximization offering strategies, i.e., the strategies that determine the offering price and volume, for a storage-assisted renewable power producer that participates in hour-ahead electricity market. Designin...