Executed price is what matters in the end. Simulations greatly reduce slippage and provides realistic prices to the end user, but we also design our routes to be extremely stable while delivering high trading edge.
DEX Aggregator Comparator #3 bis - Execution on Solana Purpose At @JumperExchange, we closely monitor every source of liquidity we integrate, both regarding quote quality (as in the quoted tweet) but also on quality execution. As promised, this is a second episode specifically for Solana DEX aggregators: - @Titan_Exchange - @DFlowProtocol and - @JupiterExchange (Legacy) on Jumper. Setup We tested all executed transactions using combinations of USDC, SOL, jitoSOL, USDT, USDe, TRUMP, PENGU, PUMP across all trade sizes. Results 1. Execution Performance Titan seems to be slightly more consistent to dFlow and Jupiter if we look at the median execution quality. Overall, Titan and DFlow seems super close together while Jupiter Legacy is a bit lagging behind for P10 to P25 execution. 2. Quote vs. Execution When comparing quotes vs. execution we have approximately the same results. Jupiter Legacy execution is 5bps below the quote vs. 1bps for DFlow and almost 0 for Titan. A quick glimpse at the global distribution also suggest that Titan also offers execution that are higher than the quote between P75 and P90. Overall, our findings are close to the ones we did on the quote analysis. DFlow and Titan being close to each other with Titan being slightly more consistent (and even more pessimistic) while Jupiter (not ultra) is lagging a bit behind. One caveat is that execution analysis is never an apple to apple comparison as it's nearly impossible to get same execution environments. Restraining the analysis to main pairs traded and taking a large number of trades tends to shrink the uncertainty.
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