Here’s a question that sounds simple until you actually try to answer it: what’s the price of a stock that listed twenty minutes ago?
For most of financial history, the answer has been “wait”, wait for the data vendor. wait for the feed to catch up, wait for the market to settle into something that looks like a real price.
Pyth’s recent run has been about deleting that wait across every asset class at once, and when you zoom out to look at the numbers, it’s a total takeover.
The problem nobody else was solving
A stock that just listed has no history, no candles, no reference point, nothing to anchor a price to, any exchange trying to open a market on day one is flying blind, and most data providers simply don’t have anything ready, sometimes for days, sometimes longer..
Pyth decided that gap was worth closing, and it didn’t just talk about it. It did it, three times, back to back:
- CXMT listed: Pyth had a price from the opening print.
- Unitree listed: The humanoid robotics company that shipped more than 5,500 robots in 2025 and pulled in 9.8 million retail orders for its Shanghai debut.
- Shein listed: The largest Hong Kong IPO of 2026, raising $1.74 billion, live pricing from the first tick.
Here’s the kicker: before Unitree even started trading in Shanghai, platforms like TradeXYZ, Paragon, and Lighter had already built perpetual markets for it, they were sitting there waiting for an underlying asset to price against, the stock didn’t exist as a tradable instrument yet, but the markets were already live, the moment Shanghai opened, Pyth fed them the price.
As Douro Labs CEO Mike Cahill put it: the hardest price to establish is the first one.
The Asian coverage number is bigger than it sounds
Pyth Pro’s Asian spot equity catalog has quietly stacked +160 stable feeds:
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Hong Kong: 107
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Japan: 21
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South Korea: 18
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China: 14
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Taiwan: 6
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India: 1
You’ve got Cambricon, GigaDevice, and SK Hynix in there alongside Toyota, Sony, Nintendo, SoftBank, Tokyo Electron, and Advantest, all priced through the exact same pipe Pyth uses for US equities, FX, commodities, and crypto.
A perp dex doesn’t need three different data systems to price Asian tech, US mega caps, and Bitcoin, it just needs one feed.
Yields, RWAs, and 24/7 pricing
Coverage isn’t stopping at stocks:
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Treasuries: In August, Pyth Pro went live with 2 year through 30 year U.S. Treasury yield and price feeds contributed directly by institutional market makers, rate curves and collateral marking, delivered through the exact same stack.
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Stellar: a network securing $4B+ in tokenized RWAs where Pyth Pro and Pyth Indices are now live, bringing continuous 24/7 index pricing to real world assets even when TradFi venues are locked for the weekend.
And guess who keeps showing up first? That’s correct, it’s PYTH.
$715B+ secured: 96.27% market share
In August, tracked RWA perpetual volume hit a record $751.9 billion, Pyth secured over $715 billion of that total.
That is 96.27% of the entire tracked market, and everyone else combined split the remaining $28.13 billion.
The business follows the tech
August turned into Pyth’s strongest month:
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$10.4M+ Annual Recurring Revenue (ARR) crossed.
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$2.9M Gross New ARR added in August alone (nearly doubling July’s pace).
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138+ First-Party Institutional Publishers streaming data to the network.
The execution order is clear:
Expand coverage ➞ Onboard institutional publishers ➞ Capture volume ➞ Accelerate revenue.
What this actually adds up to
Most of the RWA world gets distracted by vanity metrics and volume alone, that’s real, but it’s not the most interesting part.
The most interesting part is speed and market efficiency:
- 3 massive IPOs priced from tick one
- +160 Asian equity feeds on a single rail
- U.S. Treasuries, commodities, and tokenized assets sitting right alongside crypto
- Over $715B secured in August RWA perp volume
- 96.27% market share across tracked RWA perps
- $10.4M ARR milestone reached
Pyth quietly fixed financial data’s biggest flaw, and the numbers prove it.
