King Of Priests

@pythnetwork

[King Of Priests @Kingofpriest]

While everyone else was playing catch ups we were busy quietly powering the entire market

$148.1 BILLION in commodities perp volume in a single month

The crazy part?
89.7% of that entire volume was powered by @Pythnetwork
$PYTH is the G.O.A.T.

[Pyth Network 🔮 @PythNetwork]

$148.1B in commodities perp volume in July.

89.7% powered by Pyth 🔮

[King Of Priests @Kingofpriest]

@_iambluey_ @CryptoAlgebra @PythNetwork @base @HydrexFi Pyth for the world

[King Of Priests @Kingofpriest]

July was a record breaking month for RWA perps as volume surged 69.6% to $708.3B (up from $417.6B in June).

Memory chip plays SanDisk, Micron, SK Hynix, and SOXL drove the rally, driving 81% of the overall growth @pythnetwork

[Pyth Network 🔮 @PythNetwork]

https://t.co/3V0nF0linz

[King Of Priests @Kingofpriest]

New coverage just dropped on $PYTH Pro

We’ve expanded feeds across US equities, APAC markets, Pyth Indices, commodities, rates, and new tokenized assets/NAVs
More markets
same single API
@pythnetwork

[Pyth Network 🔮 @PythNetwork]

Fresh coverage is live on Pyth Pro:

- Broader US equity coverage
- Expanded Asia-Pacific markets
- Additional Pyth Indices
- Commodity, metals & rates markets
- New tokenized assets & NAVs

More markets. Same API 🌐

[King Of Priests @Kingofpriest]

@PythNetwork More please

[King Of Priests @Kingofpriest]

$PYTH brings the price feeds, Algebra turns them into tradable liquidity

Integratin @PythNetwork to power @CryptoAlgebra Protocol oracle native liquidity on @base giving institutional DeFi faster more reliable market data
Now live via @HydrexFi & our NAV Plugin!

[Algebra @CryptoAlgebra]

Pyth provides the price, Algebra turns it into tradable liquidity.

We've integrated @PythNetwork to power Algebra's oracle-native liquidity infrastructure with institutional-grade market data.

Now live on @base via @HydrexFi & our NAV Plugin.

Built for institutional DeFi.

[King Of Priests @Kingofpriest]

@CryptoAlgebra @PythNetwork @base @HydrexFi Welcome on board

[King Of Priests @Kingofpriest]

@artistarjay18 Pyth EPL

[King Of Priests @Kingofpriest]

$7.5M ARR: Reached $7.5M in July 2026(+22% MoM)
RWA Dominance
Secured $674.3B in July perp volume 95.2% of the market

1170 Equity Feeds: Includes 430 USA (24/5 or extended hours) and 150+ Asian stocks
35 Live Indices
crypto
equities
commodities
FX
& metals
@PythNetwork at Glance

[Pyth Network 🔮 @PythNetwork]

Pyth in four charts:

1. Pyth ARR reached $7.5M by July 2026.

2. July marked Pyth’s highest-ever monthly RWA perp volume secured, reaching $674.3B and 95.2% of total tracked volume.

3. Pyth Pro now offers 1,170 live equity feeds, including 430 U.S. equities with extended-hours or 24/5 coverage and 150+ Asian equity feeds across China, Hong Kong, Japan, and South Korea.

4. 35 Pyth Indices are now live spanning equities, crypto, commodities, FX, and metals.

[King Of Priests @Kingofpriest]

The demand for RWA perps is skyrocketing.
Out of the $708.3B traded across the space in July
$PYTH data feeds supported over $674.3B
that's 95.2% of the total volume

Total dominance @pythnetwork

[Pyth Network 🔮 @PythNetwork]

$708.3B in RWA perp volume in July 🗓️

$674.3B (95.2%) powered by Pyth.

[King Of Priests @Kingofpriest]

222 US stocks
Continuous 24/5 live coverage
One simple integration
Experience real time market data all day all night with @pythnetwork Pro

[Pyth Network 🔮 @PythNetwork]

🇺🇸 LIVE: 222 US equities, live 24/5 on Pyth Pro.

Real-time data. Overnight coverage. One integration.

[King Of Priests @Kingofpriest]

@Agarwalfeeds @leanhkts191 @koba4k LoL 😂 @koba4k can't run out of tea

[King Of Priests @Kingofpriest]

Toyota
Sony
Nintendo
Tokyo Electron
The names that move the Nikkei

Are now live on solana:HZ1JovNiVvGrGNiiYvEozEVgZ58xaU3RKwX8eACQBCt3 pro.
The Japanese Equities takes a step forward on chain
Powered by the Almighty @PythNetwork

[Pyth Network 🔮 @PythNetwork]

🇯🇵 Japanese equities live on Pyth Pro.

Toyota. Sony. Nintendo. Tokyo Electron. The names that move the Nikkei.

[King Of Priests @Kingofpriest]

Just won 2 $PYTH (Common tier) on @PythNetwork's PythWheel! 🎡

Powered by Pyth Entropy — provably fair, fully on-chain randomness.

Try your luck 👇 https://t.co/S7UdoJpF4O

[King Of Priests @Kingofpriest]

Just won 10 $PYTH (Common tier) on @PythNetwork's PythWheel! 🎡

Powered by Pyth Entropy — provably fair, fully on-chain randomness.

Try your luck 👇 https://t.co/S7UdoJpF4O

[King Of Priests @Kingofpriest]

As a very low portfolio trader, I use multiple tabs to analyze the market for good indicators.

@PythFeeds put an end to my struggles now I only make use of https://t.co/4Zco5UfQFh for everything at anytime
Amazing part is, it’s FREE omg 😳

Powered by @pythnetwork

[Pyth Feeds @PythFeeds]

A Bloomberg terminal costs $24k a year

Your pocket costs nothing

Everywhere. anywhere

Just use https://t.co/CXfyyIRYQU

[King Of Priests @Kingofpriest]

@0xMrPinky 7oLQzrNCnjv5Xw245yR4tZUni6NMTRc2NJPmZRjv1A85

[King Of Priests @Kingofpriest]

@StanovAndrew Pythliquid

[King Of Priests @Kingofpriest]

99.8% of Hyperliquid HIP-3’s $400B+ volume is priced by @PythNetwork
24/7 real-time feeds, sub-second latency, and zero TradFi exchange hours. That’s why top traders are moving onchain

@PythNetwork x @Hyperliquid continues to win

[Pyth Network 🔮 @PythNetwork]

$400B traded. 99.8% priced by Pyth.

Nine months in, Hyperliquid HIP-3 has become a round-the-clock venue for equities, commodities, FX, metals, and more, all on Pyth data.

Full case study ↓

[King Of Priests @Kingofpriest]

@StanovAndrew @PythNetwork @zinnresearch PYTH alone

[King Of Priests @Kingofpriest]

When it comes to RWA perpetuals, @PythNetwork powers nearly all of the top 10 most traded markets. By delivering low latency, institutional grade price feeds onchain, Pyth has become the default standard for decentralized trading.
Credit to @zinnresearch

[Zinn⛏️ @zinnresearch]

Extremely cool to see Pyth posting data from the RWA Markets dashboard I've built 🎉

Alongside a myriad of other upgrades, the top traded assets section will have weekly and monthly timeframes.

For example, Pyth's dominance is even bigger on a 30d timeframe👀

Big week ahead.