Engineering

I-Trade Chain: a year in production

184 million trades, 99.99% uptime, and a few unwelcome surprises. A review of the first year of the public network where algorithms record every trade.

8 min read I-Trade quant team

Why a broker needs blockchain

The primary challenge of algorithmic trading for the client is trust: how can you be sure that the strategy's declared returns are genuine? Our answer is public commitment: the hash of every trade of every strategy is recorded in an L2 network, and anyone can mathematically verify the reported figures against the facts.

This is not "blockchain for blockchain's sake": a record costs less than €0.001, finalises in 1.2 seconds, and does not slow down trading — it happens in parallel with execution.

What broke in a year

An honest list: the sequencer degraded twice under peak load (trades were buffered, none were lost); on one occasion a clock drift between the trading core and the network triggered false monitoring alerts; and once a spike in L1 fees delayed batch anchoring by four hours.

No incident has ever affected trading — the accounting system always mirrors the on-chain record. Yet every case has been covered in a public post-mortem: transparency extends to our own mistakes.

An unexpected outcome: researchers

Third-party analysts began using the network's open data — independent execution quality dashboards and academic papers on market microstructure emerged. We did not plan this, but we now regard the researcher ecosystem as the strongest argument for openness: hundreds of external eyes audit us at no cost.

What's next

Plans for the second year include a public API for strategy event subscriptions, real-time proof of reserves, and a regulator tool with direct access to verified execution history. Transparency evolves from a feature into infrastructure.

In brief
  • 184 million trades recorded in the public network over the year, 99.99% uptime.
  • All incidents are documented in public post-mortems; trading has never been affected.
  • Open data gave rise to an ecosystem of independent analysts.

This material is for informational purposes only and does not constitute individual investment advice. Investing involves risk.

Further reading

I-Trade

Theory into practice