We introduce a reciprocity protocol, an innovative approach to coordinating and sharing rewards in blockchains. Inherently decentralized and easy to implement, it puts emphasis on incentives rather than forcing specific sharing rules from the outset. Analyzing the non-cooperative game the...

We analyze the predictability of the bitcoin market across prediction horizons ranging from 1 to 60 min. In doing so, we test various machine learning models and find that, while all models outperform a random classifier, recurrent neural networks and gradient boosting classifiers are especially...

In recent years, Bitcoin has received substantial attention as potentially high-earning investment. However, its volatile price movement exhibits great financial risks. Therefore, how to accurately predict and capture changing trends in the Bitcoin market is of substantial importance to...

With the volume of activities associated with trading, it has become a very tedious task. The advent of the algorithmic trading has brought with it some positive change such as reduced latency and increase in liquidity in the Financial Market. The Algorithmic Trading also came with some high...

Cryptocurrencies have entered the economy as alternative money, as speculation objects, and as utility tokens for innovative service-platforms. Predictions are numerous. While some predict that their value will skyrocket, others predict their collapse. Some predict them to completely transform...

The following study investigates whether there exist factors that have a degree of predictability when predicting the returns of cryptocurrencies. Using a daily dataset on 11 cryptocurrencies, this paper begins with analysing the role of Momentum Value and Carry in this market. It seems that...

In the modern era, researchers are predicting prices of various kinds of cryptocurrency to understand their trend in the sector of finance. In this paper, we focus on price prediction of cryptocurrencies based on a period, i.e., for the year 2013 to 2018. From our research, we have identified...