Onchain markets are maturing quickly, but one constraint still determines whether they can safely scale: price quality.
Prices do not exist onchain by default. They have to be delivered onchain, in real time, with accuracy and resilience. That is the job of oracles.
Oracles bring real-world information into onchain ecosystems, creating the reference layer that other services, protocols and systems build on. The detail matters. Onchain incentives can make price contribution a target for bad actors. If pricing is weak, stale or easy to manipulate, it creates openings for extraction. Robustness is not optional.
This is why oracle providers such as Pyth, Chainlink and RedStone matter. Accurate pricing helps the ecosystem function. Fast pricing enables new onchain primitives to be stood up and evolve. Both push the whole market forward. But the next phase of growth, especially anything institutional, depends on something more specific: pricing that is consistently high quality under real-world conditions.
Proof point: LO:TECH is consistently a top performer on Pyth Pro
Prices are information. For any firm managing risk across financial markets, accurate, robust and fast pricing is a baseline requirement.
LO:TECH has been consistently among the strongest-performing contributors in Pyth Pro, the institutional-grade market data service from Pyth Network since they began publishing monthly contributor performance reporting in November 2025. LO:TECH has remained at the top end of performance reporting, showing consistent results across all feeds against a field of 25 institutional contributors.
Pyth Pro sources pricing data directly from trading firms, market makers and exchanges rather than relying on downstream aggregation. Contributors are assessed on an Average Feed Score derived from three metrics: uptime, price deviation and staleness. LO:TECH’s position reflects sustained performance across all three.
Tim Meggs, CEO of LO:TECH:
“Excellent pricing is core to our infrastructure. If onchain markets want to support serious size, the price layer has to be resilient, verifiable and consistently high quality. We’re proud to be consistently among the strongest performers in Pyth Pro’s reporting because it is measured externally against our competitors, over time, across uptime, deviation and staleness.”
Corey Loo, Head of APAC, Douro Labs:
“Pyth Pro is built around contributions from trading firms and market makers who sit at the centre of price discovery. That’s where the cleanest signals come from. The most valuable publishers, like LO:TECH, bring deep venue coverage, consistent uptime and the operational discipline that keeps prices fresh and robust even when markets get noisy. The goal of our performance reporting is to make those quality signals visible over time”
What it takes to deliver robust prices onchain
Being a top contributor to an oracle is a serious technical undertaking. It means connecting to hundreds of venues, protocols and blockchains, bringing that information into your systems, analysing it, discarding outliers, applying quantitative methods and quality checks, then re-aggregating and publishing.
Pricing thousands of assets and getting that information onchain accurately and reliably is not a small task. It requires institutional-grade infrastructure and engineering. The same pricing stack LO:TECH relies on internally as a trading business is what powers the data we contribute to the Pyth ecosystem.
Market data, by traders for traders
LO:TECH has been an established contributor to the Pyth ecosystem for over a year, beginning with Pyth Core. That track record made the firm a natural early partner for Pyth Pro when it launched.
The same pricing infrastructure that underpins this recognition is available to institutional clients through LO:TECH’s market data service, offering multi-venue, normalised tick-level data, both historic and live.
