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What Glamsterdam Would Change About Settling Korean Shares on Ethereum

What Glamsterdam Would Change About Settling Korean Shares on Ethereum


What wouldn’t it price to settle Korea Trade’s each day buying and selling worth on Ethereum? On the baseline, block-gas capability just isn’t the binding constraint. Settlement structure and new onchain state matter extra.

Overview. Market data settle into Ethereum contract storage. Blue blocks are present balances that settlement updates; rust blocks are new state created for first-time holders. Illustrative, to not scale.

This text fashions a settlement workload on Ethereum calibrated to Korea Trade (KRX)’s reported common each day buying and selling worth, beneath present mainnet guidelines and beneath Glamsterdam’s proposed gasoline repricing. It’s a gas-accounting experiment, not a proposal to maneuver Korea’s settlement infrastructure onto Ethereum.

Capability just isn’t the issue on the baseline. At an assumed $10,000 common commerce, settling each commerce in its personal transaction would use 26.0% of at some point’s theoretical block gasoline at right this moment’s 60-million-gas restrict. That’s the full-day gasoline ceiling, not spare capability left after Ethereum’s present demand, and it reaches 100% if the common commerce falls to about $2,604.

Value construction is. If clearing first nets trades in order that one participant place per commerce is left to replace, netted settlement is 3.6× cheaper in gasoline than trade-by-trade settlement right this moment, however 2.6× beneath Glamsterdam. Glamsterdam reprices storage writes, and new state most of all. As soon as netting has eliminated a lot of the settlement work, the storage created for first-time holders turns into a bigger share of what stays.

1. Measurement the market

In an April 2025 article for the World Federation of Exchanges (WFE), KRX’s Chairman and CEO reported a median each day securities buying and selling worth of $21.34 billion (2024 knowledge) and an 89% netting ratio. That ratio measures how a lot gross worth clearing removes earlier than settlement, not what number of positions would stay onchain.

Dividing $21.34 billion by an assumed $10,000 common commerce offers 2,134,000 trades on a consultant day. Commerce rely is derived from worth, not from KRX’s individuals, devices or settlement cycles. The share of this workload moved onchain is swept from 0% to 100%.

Commerce measurement is the belief that strikes capability most, as a result of commerce rely scales inversely with it. Throughout averages of $2,000–$50,000, gross settlement with one transaction per commerce wants between 130.2% and 5.2% of theoretical each day block gasoline at full migration. It reaches right this moment’s ceiling at about $2,604 per commerce; batching 100 trades per transaction strikes that threshold to $1,598.

The workload is a median day, not transaction-level KRX data or a stress-day replay.

2. Change the settlement structure

Each architectures go away commerce matching offchain:

Netting is best to see on 100 trades. Every has a purchaser and a vendor, so gross settlement updates 200 participant positions. If the identical brokers seem on many trades, netting leaves solely their internet adjustments to write:

I name this ratio P/T: internet participant positions up to date onchain per gross commerce. All three rows are assumed situations, not noticed KRX place counts, and KRX’s 89% worth ratio doesn’t determine P/T. The place KRX would sit is determined by the account hierarchy: clearing-member or custodian accounts consolidate many trades, whereas end-investor settlement preserves much more positions.

To cost every structure, I measured a minimal balance-settlement contract on a neighborhood node beneath present mainnet guidelines (Prague). Holders had been funded in earlier transactions; gasoline got here from transaction receipts and was checked towards opcode traces. The one-trade row is a full transaction, together with intrinsic gasoline and calldata. For batches, the fastened overhead per transaction is separated from the incremental price per unit, which covers that unit’s execution and calldata.

Netting benefit: whole gross gasoline ÷ whole netted gasoline, with no new holders. Glamsterdam columns are modeled, not executed.

The contract settles balances solely. Custody, identification and compliance checks, company actions, and restoration logic would every add storage reads and writes, so a manufacturing token would probably price extra per operation. The experiment additionally doesn’t evaluate Ethereum mainnet with L2s or permissioned settlement networks.

3. Capability on the baseline; state prices on the margin

Glamsterdam adjustments two issues. Its repricing makes the identical settlement workload heavier in gasoline; solely the next gasoline restrict turns that into extra headroom. And it fees much more for creating state than for updating it, which issues most to the structure that updates the least.

The situations use present guidelines at 60 million gasoline per block, and Glamsterdam repricing on the identical 60-million restrict and at 150 million, a devnet reference relatively than a scheduled mainnet restrict. Glamsterdam’s mainnet activation date is unconfirmed, and no Glamsterdam EVM is executed right here: the measured storage reads and writes are repriced beneath the proposed EIP-8037 and EIP-8038. EIP-8037 meters execution gasoline and state gasoline individually; a transaction pays for each, however every has its personal block restrict, so utilization follows whichever binds.

Fig. 1. Theoretical each day block-gas utilization (gasoline restrict × 7,200 blocks) at an assumed $10,000 common commerce. Per-transaction gasoline is measured beneath present guidelines; the each day workload is extrapolated from the assumed commerce measurement, and netted settlement from an assumed P/T (band 0.11–2, line at 1). Glamsterdam repricing and the binding dimension are modeled, not executed. The denominator is the total gasoline restrict, not spare capability after present site visitors.

At full migration, one-transaction-per-trade gross settlement makes use of 26.0% of theoretical each day block gasoline right this moment. Glamsterdam’s repricing alone raises that to 37.3% on the identical 60-million restrict; at 150 million it falls to 14.9%. Batched gross settlement makes use of 16.0%, 30.2% and 12.1% in the identical three instances.

The repricing reaches each sorts of storage write:

Fig. 2. Netting’s gasoline benefit over trade-by-trade settlement as new holders arrive, beneath present guidelines (blue) and modeled Glamsterdam repricing (rust). Left: P/T = 0.11; proper: P/T = 1. The panels use completely different y-axis scales. New-holder shares are assumed.

On this mannequin, each architectures face the identical new-holder inhabitants. As a result of netting reduces the opposite settlement work, new state accounts for a bigger share of its remaining gasoline. With one place per commerce, the benefit falls from 3.6× to three.1× as new holders rise from 0% to 10% of trades right this moment, and from 2.6× to 1.9× beneath Glamsterdam. With extremely concentrated netting, it falls from 33.0× to 10.6× right this moment and from 23.8× to 4.0× beneath Glamsterdam.

All comparisons are in gasoline. Greenback charges depend upon gasoline costs, and settlement latency or failure danger is determined by a system design this experiment doesn’t mannequin.

Closing

Beneath these assumptions, block-gas capability doesn’t cease Ethereum from settling a workload of KRX’s each day buying and selling worth; the price of state shapes which settlement design is cheaper. Netting saves gasoline by lowering the positions that want updating. However when a first-time holder nonetheless wants a brand new onchain stability, that storage creation stays costly beneath Glamsterdam’s proposed pricing. The extra environment friendly the netting, the bigger the share of its remaining price that new holders account for. A Glamsterdam with the next gasoline restrict would subsequently add capability whereas narrowing netting’s relative gasoline benefit.

How far it narrows is determined by two numbers this experiment needed to assume: what number of positions netting actually leaves, and what number of new holders a tokenized market brings in. The capability consequence additionally is determined by the $10,000 common commerce and on batching, and the Glamsterdam figures on EIP-8037/8038 parameters that aren’t but closing. Participant-level netting knowledge and an noticed new-holder charge from a reside tokenized-securities venue are the following measurements price making.

Appendix

This put up was initially revealed on my private weblog: https://egpivo.dev/2026/10/11/what-glamsterdam-would-change-about-settling-korean-stocks-on-ethereum.


What Glamsterdam Would Change About Settling Korean Shares on Ethereum was initially revealed in The Capital on Medium, the place persons are persevering with the dialog by highlighting and responding to this story.



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