๐Ÿ”ฌ How Sei Is Trying to Reduce MEV

How is Sei trying to make on-chain trading fairer?

We've already discussed SEI's speed and its adoption challenge.

Now let's look at a different part of its design:

MEV.

MEV = Maximal Extractable Value.

In simple terms, it refers to value that can be extracted by influencing or optimizing the order in which transactions are processed.

๐Ÿ‘€ A simple example:

You submit a large buy order.

A bot detects it.

The bot buys before your transaction.

Your order pushes the price higher.

The bot sells afterward.

You receive a worse execution.

This is one example of how transaction ordering can create an advantage for sophisticated actors.

โš™๏ธ So What Is Sei Trying to Do?

One part of Sei's trading-focused architecture is:

Frequent Batch Auctions (FBA)

Instead of treating every transaction as a race to get ahead of the next trader, orders can be grouped into short batches and processed together at a common clearing price.

The idea is to reduce the advantage gained from extremely fast transaction ordering.

๐Ÿง  Think of it like this:

โŒ Traditional race

โ€œWho gets their order in first?โ€

vs.

โœ… Batch auction

โ€œWhich orders belong to the same batch, and what price clears them?โ€

โš ๏ธ Important Research Point

This doesn't mean:

โ€œSEI has completely solved MEV.โ€

A mechanism can be well-designed on paper and still needs to prove its effectiveness under real trading activity and scale.

That's why I separate:

Design โ†’ Implementation โ†’ Real-world results

๐ŸŽฏ The Bigger Picture

SEI isn't only trying to become faster.

It's also designing infrastructure specifically around on-chain trading.

The real question is:

Can these architectural choices create a better trading environmentโ€”and can traders actually adopt it?

That's what I'll be watching.

๐Ÿ‘๏ธ Follow @The On-Chain Observer for more Web3 research, protocol analysis, on-chain data & market intelligence.

#TheOnChainObserver #SEI #MEV #Web3Research #Write2Earnโ€ฌ
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