Portfolio management is the decision-making process of allocating an amount of fund into different financial investment products.
In this paper, we perform an in-depth analysis of pump and dump schemes organized by communities over the Internet.
Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, having been widely used as an exchange medium in areas such as financial transaction and asset transfer verification.
While pump-and-dump schemes have attracted the attention of cryptocurrency observers and regulators alike, this paper represents the first detailed empirical query of pump-and-dump activities in cryptocurrency markets.
In this study, we develop an end-to-end model that can forecast the sentiment of a set of tweets (using a Bidirectional Encoder Representations from Transformers - based Neural Network Model) and forecast the price of Bitcoin (using Gated Recurrent Unit) using the predicted sentiment and other metrics like historical cryptocurrency price data, tweet volume, a user's following, and whether or not a user is verified.
Because of the speed and relative anonymity offered by social platforms such as Twitter and Telegram, social media has become a preferred platform for scammers who wish to spread false hype about the cryptocurrency they are trying to pump.
Currently, there are no convincing proxies for the fundamentals of cryptocurrency assets.
This research analyses high-frequency data of the cryptocurrency market in regards to intraday trading patterns related to algorithmic trading and its impact on the European cryptocurrency market.
This paper is the first of a series of short articles that explore the efficiency of major cryptocurrency markets.
Statistical Finance
As cryptocurrencies gain popularity and credibility, marketplaces for cryptocurrencies are growing in importance.
Computers and Society Human-Computer Interaction Social and Information Networks Physics and Society