The evolution and awakening of public chains: redefining the true standard of "DEX on-chain trading"

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In the graveyard of the crypto world lie countless projects that attempted to move the "Central Limit Order Book (CLOB)" onto the blockchain. From the earliest EtherDelta to the numerous high-performance challengers that followed, most have failed to escape the fate of liquidity depletion or lagging experiences.

For a long time, there has been a misconception in the industry: "The reason order books can't succeed is that the chain isn't fast enough."

As a result, public chains have fallen into an arms race for TPS (transactions per second). From 15 TPS to 1000 TPS, and now to the claimed 100,000 TPS. But strangely, even with chains being incredibly fast, top market makers still hesitate to bring their core liquidity onto the chain.

The fundamental reason has never been speed, but rather genetic conflict.

The logic of traditional public chains pursues "consensus across the entire network," while matching engines pursue "unambiguous chronological order." These two are inherently mutually exclusive under the old architecture. It wasn't until the emergence of a new class of "new species" public chains in the past two years that the deadlock was truly broken. They didn't simply make the horse-drawn carriage run faster; they completely redesigned the underlying "traffic rules."

This is what we are here to discuss today — the true on-chain DEX.

On general public chains like Ethereum or Solana, what determines the order of your trades is often not when you arrive, but how much Gas you pay.

Imagine standing in a stock exchange hall, where you raise your hand to buy first, but the person next to you slips a stack of cash to the recorder, and thus their order gets placed ahead of yours. This is inconsequential for transfer settlements; however, for high-frequency trading, this is fatal. It means that every order and cancellation by market makers participates in an unpredictable auction.

The true on-chain DEX is initiating the first revolution: shifting from price-based ordering (Gas Auction) to time-based ordering (FCFS) and semantic ordering.

The new generation of trading-specific application chains, such as Hyperliquid, completely abandon the general Gas bidding logic. They bring the ordering rights to the forefront of consensus:

  • Physical Time Priority: Whoever reaches the memory pool first is placed ahead, completely simulating the first-come-first-served nature of the physical world.
  • Semantic Awareness: This is a more radical step. The underlying chain can "understand" the meaning of transactions. For example, "cancellation requests" will automatically be prioritized over "order requests."

Why give "cancellation" priority? Because in a highly volatile market, if a market maker wants to cancel an order but cannot due to network congestion, and ends up being eaten by arbitrageurs taking stale quotes, this is called "toxic flow." Once this risk occurs, market makers will withdraw liquidity.

Only by embedding "cancellation priority" into the underlying protocol, where every validator must adhere to this logic, can the chain's time granularity finally possess the "sense of security" required by financial markets. This is no longer just an engineer's coding habit, but the iron law of the chain.

The reason order books couldn't function in the past was that the chain required thousands of nodes across the network to perform "redundant labor." Every action of placing an order, matching, or canceling had to be executed as a smart contract across the entire network, leading to exponentially rising costs.

Many so-called "DEXs," to solve this problem, chose to take shortcuts: they set up a server off-chain to run the matching and only write the final transaction results on-chain. This is not called a DEX; this is called a "CEX with on-chain accounting."

The true on-chain DEX has chosen a third path: the chain is responsible for confirmation, while execution is handled by a native engine.

In these new architectures, matching is no longer a smart contract running on the EVM, but a native module directly written into the chain node software.

  • Network Consensus: All validators run the same set of highly optimized C++/Rust matching code.
  • State Dependency: Buy and sell order books are stored directly in the chain's memory, rather than in contract storage.
  • Result Solidification: Validators do not need to perform cumbersome contract virtual machine calculations for every match; they only need to verify the consistency of inputs and outputs.

Here, a standard must be clarified: How to determine whether an engine is "external" or "native"? Look at three hard indicators:

  1. Must all validators run the same logic?
  2. Must the execution results be consistent across the network?
  3. Does the final state of the chain strongly depend on it?

As long as these three points are met, this engine is equivalent to being on-chain. It is not a privately owned server of the project party, but part of the public chain itself. There is fundamentally no "off-chain shadow order book" that can be quietly replaced.

In the old era of chains, each block confirmation was like a frame of a slideshow. Ethereum has a frame every 12 seconds, Solana every 0.4 seconds. But in the eyes of high-frequency traders, 0.4 seconds is still a long "lag."

The new generation of DEXs is dismantling "rhythm." They decouple the execution layer from the consensus layer. The execution layer is responsible for continuously updating the order book at millisecond speeds, providing users with real-time feedback; while the chain confirms these orders and results at very short intervals.

From the user's perspective, this is a leap in experience: real-time liquidity, combined with immutable settlement. This three-line integration (execution, consensus, settlement) transforms the chain from merely a settlement tool into the matching process itself.

If performance improvement is the surface, then the change in power structure is the essence.

The essence of moving CLOB on-chain is to confiscate all the power that was originally hidden in the black boxes of Binance and Coinbase servers and make it public. Queue order public, matching logic public, buy and sell queues public, execution traces public.

This brings about a brand new criterion: Who is the true DEX?

As the competition heats up, many protocols begin to claim "on-chain matching." However, among them are disguisers like Aster. Aster was once a DEX with impressive data, and its candlestick charts and depth charts looked perfect. But careful researchers found that its trading behavior remained "mirror-synchronized" with Binance's spot market for a long time. When researchers asked Aster to provide every order and cancellation record on-chain, Aster could not produce it.

Because it had no on-chain matching at all. It merely "transported" Binance's data on its server and then falsely represented the results as transaction hashes written on-chain. Ultimately, Aster was directly removed by industry data sources like DefiLlama (though it has since been added back).

True transparency is not about result transparency, but process transparency. To determine whether a DEX is truly on-chain, do not look at the TPS data on the official website; look at this ultimate standard:

Can a third party take the original event records on-chain and perfectly replicate every second of order book changes that day without relying on official interfaces?

If your on-chain data only shows "A and B traded," but does not reveal "when A placed the order," "what position B was in the queue," or "why C successfully canceled the order," then this is a black box.

Hyperliquid is regarded as the new benchmark in the industry precisely because it can withstand such audits. Anyone can download its node data and reconstruct the entire history of the exchange line by line. This kind of "verifiability" is the soul that distinguishes DeFi from CeFi.

At this point, we have clearly seen the two core dimensions of a true on-chain DEX:

  • Asset Dimension: Can it be self-custodied, and is the capital always in the user's hands?
  • Execution Dimension: Are matching, ordering, and queuing fully on-chain and can they be "replicated and reconstructed"?

But this is not the end. If you are using the fastest chain and the most transparent matching, but the project party possesses a "super administrator private key" that can pause contracts, modify fees, or even freeze your account at any time, then this is still not free finance.

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