Dynamic Grid Trading Strategy: From Zero Expectation to Market Outperformance
Kai-Yuan Chen, Kai-Hsin Chen, and Jyh-Shing Roger Jang

TL;DR
This paper introduces a dynamic grid trading strategy for cryptocurrencies that adapts to market conditions, transforming a zero-expectation approach into a profitable method with superior returns and risk management.
Contribution
It presents a novel dynamic grid trading strategy that adjusts grid positions based on market conditions, outperforming traditional grid and buy-and-hold strategies.
Findings
DGT significantly outperforms traditional grid trading.
DGT achieves higher internal rate of return.
DGT offers improved risk control.
Abstract
We propose a profitable trading strategy for the cryptocurrency market based on grid trading. Starting with an analysis of the expected value of the traditional grid strategy, we show that under simple assumptions, its expected return is essentially zero. We then introduce a novel Dynamic Grid-based Trading (DGT) strategy that adapts to market conditions by dynamically resetting grid positions. Our backtesting results using minute-level data from Bitcoin and Ethereum between January 2021 and July 2024 demonstrate that the DGT strategy significantly outperforms both the traditional grid and buy-and-hold strategies in terms of internal rate of return and risk control.
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Taxonomy
TopicsElectric Power System Optimization
