Optimal Settings for Cryptocurrency Trading Pairs
Di Zhang, Youzhou Zhou

TL;DR
This paper formulates the problem of setting optimal cryptocurrency trading pairs as an optimization task, proposing a two-stage method to maximize liquidity and connectivity while balancing decentralization and market efficiency.
Contribution
It introduces a novel two-stage approach combining eigenvalue decomposition and branch-and-bound search to optimize trading pair selection in cryptocurrency markets.
Findings
More decentralized trading pairs favor direct large currency pair connections.
Significant room for optimization exists in current exchange configurations.
Balancing the number of trading pairs is crucial for market coverage and stability.
Abstract
The goal of cryptocurrencies is decentralization. In principle, all currencies have equal status. Unlike traditional stock markets, there is no default currency of denomination (fiat), thus the trading pairs can be set freely. However, it is impractical to set up a trading market between every two currencies. In order to control management costs and ensure sufficient liquidity, we must give priority to covering those large-volume trading pairs and ensure that all coins are reachable. We note that this is an optimization problem. Its particularity lies in: 1) the trading volume between most (>99.5%) possible trading pairs cannot be directly observed. 2) It satisfies the connectivity constraint, that is, all currencies are guaranteed to be tradable. To solve this problem, we use a two-stage process: 1) Fill in missing values based on a regularized, truncated eigenvalue decomposition,…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Complex Systems and Time Series Analysis · Financial Markets and Investment Strategies
MethodsPruning
