Approaching multifractal complexity in decentralized cryptocurrency trading
Marcin W\k{a}torek, Marcin Kr\'olczyk, Jaros{\l}aw Kwapie\'n and, Tomasz Stanisz, Stanis{\l}aw Dro\.zd\.z

TL;DR
This study demonstrates that decentralized cryptocurrency trading exhibits multifractal properties similar to centralized markets, with multifractality more prominent in transaction volumes and linked to large fluctuations, despite lower liquidity.
Contribution
It introduces the analysis of multifractality in decentralized crypto markets using MFDFA, revealing complex dynamics and cross-correlations not previously documented.
Findings
Multifractality is present in decentralized crypto trading data.
Multifractality is more pronounced in transaction volumes than returns.
Large fluctuations primarily drive the observed multifractality.
Abstract
Multifractality is a concept that helps compactly grasping the most essential features of the financial dynamics. In its fully developed form, this concept applies to essentially all mature financial markets and even to more liquid cryptocurrencies traded on the centralized exchanges. A new element that adds complexity to cryptocurrency markets is the possibility of decentralized trading. Based on the extracted tick-by-tick transaction data from the Universal Router contract of the Uniswap decentralized exchange, from June 6, 2023, to June 30, 2024, the present study using Multifractal Detrended Fluctuation Analysis (MFDFA) shows that even though liquidity on these new exchanges is still much lower compared to centralized exchanges convincing traces of multifractality are already emerging on this new trading as well. The resulting multifractal spectra are however strongly left-side…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis
