Ticker Board
InstrumentTierLastVol/BTrd/BOrd/BCad
GREENVOLT HIGH 49.72 1895 268.03 458.16 0.20s
AURABANK HIGH 124.03 1919 273.10 451.96 0.20s
NORDSEA MID 34.85 1736 232.86 386.96 1.00s
HELVETIA MID 209.40 1721 233.10 393.36 1.00s
BERGKLINIK MID 81.97 1739 236.60 386.63 1.00s
TERRAFARM LOW 14.87 616 80.50 121.10 5.00s
LUMENIX LOW 94.62½ 618 80.26 120.00 5.00s
KAFFEEHAUS LOW 13.15 620 80.46 120.83 5.00s
How this works Orders collect into sealed batches (busy markets clear ~5×/s, quiet ones every few seconds) and clear together at a single uniform price, so arrival time within a batch confers no advantage — that’s what designs out the latency race.
About this demo A live simulation: ~700 bots trading against the real platform — a Go event-sourced deterministic matching engine and double-entry ledger over Postgres, not a mockup. The exchange clears the full throughput shown above on one small container — a single CPU core and 512 MB of RAM — the bots run on a separate machine, so this is the matching+ledger cost alone. And that’s before any horizontal scaling (the design adds identical stateless nodes behind a load balancer). The REST + WebSocket API is open — the same one the bots use: browse the API & try it live, or point your own bot at it.
Not convinced it's real? Open the live integrity proof — the running binary reproving its determinism, conformance to the research oracle, and settlement balance on demand.
Price Chart — KAFFEEHAUS
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Market Analysis — KAFFEEHAUS
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Place Order — KAFFEEHAUS
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Primary Offering
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Cash Ramp · EMT boundary
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Cash: 10,000.00 EUR
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Batch Clear — Sealed Book
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