In financial markets, the success of an investor depends on the quality of information and the speed of his decision. Therefore, an accurate prediction allows investors to make informed decisions about investments and reduce risks. Until today, various researches have been carried out in order...

We provide a general framework to consider the effects of algorithmic demand and supply prediction in matching platforms, such as Task Rabbit for labor markets or Amazon for goods markets, where a significant proportion of matches are repeat transactions. We show that algorithmic repeat match...

We review the modelling and pricing of American options both in classical mathematical finance and in reinforcement learning (RL). Some of the main difficulties when pricing an American put option with reinforcement learning is to make sure that the continuation value one step before maturity is...

We consider the problem of being a cross-chain wealth management platform with deposits, redemptions and investment assets across multiple networks. We discuss the need for blockchain bridges to facilitates fund flows across platforms. We point out several issues with existing bridges. We...

In recent years major financial exchanges have introduced Frequent Batch Auctions (FBAs) as a novel automated auction mechanism for matching buyers and sellers of various types of asset, in contrast to the traditional Continuous Double Auction (CDA) that has been the basis of such exchanges...

World cultural heritage (WHS) is of great significance to promoting the sustainable development of cities, and history culture is very important to achieve the goal of sustainable development. The purpose of this paper is to construct a cultural heritage evaluation system and to explore and...