TechFlow reports that decentralized exchange platform DODO has announced the launch of a dynamic slippage feature, designed to provide users with precise slippage prediction, reduce transaction failures caused by static slippage settings, and lower the risk of MEV attacks.
The feature leverages statistical methodologies including time series analysis, Bayesian inference, and deep learning to ensure accurate slippage predictions. The model achieved a 98% accuracy rate in backtesting.
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