no code implementations • 28 Apr 2022 • Ali Raheman, Anton Kolonin, Alexey Glushchenko, Arseniy Fokin, Ikram Ansari
Crypto-currency market uncertainty drives the need to find adaptive solutions to maximise gain or at least to avoid loss throughout the periods of trading activity.
no code implementations • 22 Apr 2022 • Anton Kolonin, Ali Raheman, Mukul Vishwas, Ikram Ansari, Juan Pinzon, Alice Ho
We explore the applicability of the causal analysis based on temporally shifted (lagged) Pearson correlation applied to diverse time series of different natures in context of the problem of financial market prediction.
no code implementations • 19 Apr 2022 • Ali Raheman, Anton Kolonin, Igors Fridkins, Ikram Ansari, Mukul Vishwas
In this paper, we explore the usability of different natural language processing models for the sentiment analysis of social media applied to financial market prediction, using the cryptocurrency domain as a reference.
no code implementations • 16 Jul 2021 • Ali Raheman, Anton Kolonin, Ben Goertzel, Gergely Hegykozi, Ikram Ansari
We present the cognitive architecture of an autonomous agent for active portfolio management in decentralized finance, involving activities such as asset selection, portfolio balancing, liquidity provision, and trading.