Have you seen that @Kalshi is using Pyth pricing for its new gold and silver perpetuals? If not, now you know that thanks to @PythNetwork , Kalshi has the most accurate and fastest data for gold and silver! I think more price feeds needed for Kalshi's products will be added in the future, and we all obviously know who they'll turn to! And remember: It's just price feeds🔮

Here we go: @PythNetwork + @Nasdaq partnership! We can finally talk about it officially - Pyth has been approved as an external distributor of Nasdaq Basic. What does that mean? Pyth clients will now get access to real-time top-of-book data on U.S. equities: best bid/ask with size from Nasdaq, last sale from Nasdaq venues and the FINRA/Nasdaq TRF, and coverage of all U.S.-listed securities (not only those listed on Nasdaq) through the Data Marketplace, which gives institutions a fast, direct path into software and blockchain applications. Another big win for Pyth Network in 2026. I’m really happy for the Pyth core team that got this deal over the line. It’s been a long road from being “just” a blockchain oracle to becoming a necessity in 2026 so that the big players can have the best and fastest quotes in the world. Grats, Pyth Network🔮

Pythenians 2.0 is coming. Prepare yourself and buy some @PytheniansNFT before it's too late.

Another interesting thing worth highlighting from the @PythNetwork report is that volume was up 6.2% from July, and two names that were added only recently are already in that top: SK hynix with $64.6B and Derixion Korea with $26B in trading volume. I’ll remind you that Korean companies only appeared in the Pyth Pro subscription very recently (early August) - and look at the results they’re already putting up. And considering that on September 14 Taiwanese names were also added, such as TSMC, Foxconn, Quanta Computer, Wistron, and MediaTek, I think we’ll see new records soon.

Here are a few facts from the last 2 months about @PythNetwork : 1. $752B of RWA perp volume in August, and 96.27% of it was powered by Pyth. 2. Pyth Pro subscribers now have access not only to US and European price quotes, but also to Taiwan, China, South Korea, and Hong Kong. 3. HIP-4, which will very soon become the new standard for all prediction markets. 4. Pyth ARR reached $10.4M in August. 5. Kalshi and Polymarket actively use Pyth price feeds for traditional assets. 6. 57 indices launched by the end of August. 7. New logo. 8. New website that looks stunning.

Now the leading companies of Taiwan are on Pyth Pro! @PythNetwork continues expanding its price feeds across Asia. In addition to access to all major Korean, Hong Kong, and Chinese companies, you now also have access to Taiwanese companies. I don’t think I need to explain that Taiwan is the world leader in semiconductor manufacturing and that AI development would be unimaginable without it. Just price feeds🔮

Interesting post from the @PythNetwork blog on HIP-4 - and why it actually matters for prediction markets. Why? The main bottleneck right now is that platforms like Kalshi or Polymarket are limited because events are listed centrally. What HIP-4 proposes: anyone should be able to create a market on any event they want - sports, weather, elections, whatever. And you might ask - “okay, but what do Pyth Network and Hyperliquid have to do with this?”: Pyth Network is the infrastructure layer. Reminder: Pyth has 120+ first-party publishers (not just price quotes, but data on real-world events), and it processes price feeds in under a second. Hyperliquid is the venue — the same role it already plays for perps (which run through HIP-3 and also rely on Pyth) — only now for prediction markets.That’s the link between Pyth Network and @HyperliquidX . The winner won’t be whoever ships the prettiest UI. It’ll be whoever also lets end users launch the markets they actually want.

The numbers are just insane: $751.9 billion in volume through RWA perps... and more than 96% of that goes through @PythNetwork ! So you get it - in the RWA perps space, there is no better data provider than Pyth Network. And you still think Pyth Network has competitors...

PWO $PYTH

10.4 million ARR my friend... And you still think @PythNetwork could even have competitors when you’ve got under the hood: 1. 138 companies publishing data, including Revolut, CBOE, Fidelity, Coinbase, and a massive list of the most famous investment banks and all kinds of providers 2. When you’re literally one of the first in line to provide 24/7 data 3. When you can effortlessly fetch price feeds for everything from top US stocks to Asian markets 4. When you already have 45 indices you can access right now And you still don't believe in Pyth Network? Then I don't know how to help you... And remember: Its just Price feeds🔮

Time to summarize the @PythNetwork buyback results for August! This month, the Pyth Strategic Reserve increased its holdings from 29 million solana:HZ1JovNiVvGrGNiiYvEozEVgZ58xaU3RKwX8eACQBCt3 to just over 38 million tokens - a 31% increase! It has been another highly successful month for Pyth Network. Beyond the buyback milestones, August brought several major developments: 1. Pyth Pro expanded its price feeds into the Chinese, Hong Kong, and South Korean markets, pushing total coverage past 3,500+ price feeds. 2. Pyth Network dominates RWA Perpetuals volume processing with a 96.2% market share. 3. Pyth continues to expand its footprint across fast-growing Prediction Markets. All in all, another strong month of growth and execution for Pyth Network!

Armstrong is Pyth-pilled! By the way, I wanted to remind you that @coinbase gets its price feeds directly, including for the S&P 500, from @PythNetwork ! And also don't forget that on perps, 95% of the volume goes through, well, you know what. Just price feeds🔮

idk what Pyth is but apparently every CEX uses it

While everyone was talking about Trump’s speech, something much more important for markets quietly happened. I think the partnership (or whatever the right word is) between @PythNetwork and @HyperliquidX is the most important news of the month for the entire crypto market - even though it didn’t create the same hype as, for example, Trump’s speech. Here’s why: First of all, U.S. equity markets are finally moving to 23 hours a day, 5 days a week. (Nasdaq, 24X, and NYSE Arca have already received approval.) But even after this change, roughly 53 hours out of every 168 in a week will still be without official quotations. Here’s the real catch: on-chain is already running 24/7. On Hyperliquid, through the HIP-3 mechanism (which lets independent teams launch their own perpetual futures markets), real-world assets are already trading around the clock - and the cumulative volume on these markets, priced by Pyth, has already reached $540 billion. So how do Pyth and Hyperliquid actually make this work? 1. They extend external prices as far as possible (Pyth publishes prices for more than 220 U.S. equities on a 24/5 basis, including overnight sessions via Blue Ocean and other ATSs). 2. They constrain discovery - meaning the price can still move, but only within limited steps from the last external quotation. 3. They construct what cannot be observed - through Pyth Indices (true 24/7 indices, including single-name equity indices). All of this brings us closer to a world where weekend gap risk is no longer a forced risk. In the past, weekends created a situation where news could arrive but you couldn’t trade. Now, on always-on venues, that risk can be actively hedged. And one more important development: on August 17, Douro Labs + Hyperliquid Policy Center filed a joint comment letter with the SEC regarding Rule 611 of Regulation NMS. In short, they’re pointing out that on-chain venues operate continuously while the consolidated quotation system does not - and they’re asking regulators to recognize independent price sources (with clear standards: first-party data, public methodology, and auditable publishers) when traditional quotations are unavailable. I tried to summarize the main points of this article and show why this news - and especially the request from Douro Labs + Hyperliquid to the SEC - is the biggest story of the month.