Identifying and Analyzing Cryptocurrency Manipulations in Social Media

4 Feb 20191 code implementation

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.

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

30 Jun 201714 code implementations

They are, along with a number of recently reviewed or published portfolio-selection strategies, examined in three back-test experiments with a trading period of 30 minutes in a cryptocurrency market.


Cryptocurrency Portfolio Management with Deep Reinforcement Learning

5 Dec 20161 code implementation

Portfolio management is the decision-making process of allocating an amount of fund into different financial investment products.


Sensing Social Media Signals for Cryptocurrency News

27 Mar 2019no code implementations

The ability to track and monitor relevant and important news in real-time is of crucial interest in multiple industrial sectors.

Anticipating cryptocurrency prices using machine learning

22 May 2018no code implementations

Machine learning and AI-assisted trading have attracted growing interest for the past few years.

Deep convolutional autoencoder for cryptocurrency market analysis

27 Oct 2019no code implementations

This study attempts to analyze patterns in cryptocurrency markets using a special type of deep neural networks, namely a convolutional autoencoder.

Improved Forecasting of Cryptocurrency Price using Social Signals

1 Jul 2019no code implementations

Social media signals have been successfully used to develop large-scale predictive and anticipatory analytics.

Stacking with Neural network for Cryptocurrency investment

21 Feb 2019no code implementations

Features used are technical indicators used are not limited to trend, momentum, volume, volatility indicators, and sentiment analysis has also been used to gain useful insight combined with the above features.


A new method for similarity and anomaly detection in cryptocurrency markets

12 Dec 2019no code implementations

We propose a new approach using the MJ$_1$ semi-metric, from the more general MJ$_p$ class of semi-metrics \cite{James2019}, to detect similarity and anomalies in collections of cryptocurrencies.


C2P2: A Collective Cryptocurrency Up/Down Price Prediction Engine

3 Jun 2019no code implementations

Moreover, we experimentally show that the use of similarity metrics within our C2P2 algorithm leads to a direct improvement for 20 out of 21 cryptocurrencies ranging from 0. 4% to 17. 8%.