INT

Crypto influencer: TG, YouTube, and X.
Supporting crypto projects, exchanges, and more.

[INT @INTCRYPTO0dlv]

@TemplarsTrade Victory to you!

[INT @INTCRYPTO0dlv]

Подписки на Pyth Terminal

Pyth Terminal запущен. Общедоступный интерфейс, где любой желающий может просматривать более 3000 потоков цен в реальном времени по криптовалютам, акциям, валюте и товарам — сравнивать их с эталонными показателями, проверять прозрачность на уровне издателя и подписаться на Pyth Pro. Никаких звонков от продавцов. Никакого «черного ящика». Данные видны до оплаты.

ПРЕИМУЩЕСТВА:
• Терминал запущен по адресу https://t.co/fA01d1dQJn. Просматривайте все потоки данных Pyth в режиме реального времени — наблюдайте за обновлением графиков по тикам, сравнивайте цены Pyth с внешними эталонными показателями по акциям и валюте, а также включайте или выключайте отдельных издателей, чтобы увидеть, как формируется каждый поток данных.
• Бесплатный уровень предоставляет графики и потоки данных без ключа API. Платные планы от 500 долларов в месяц (криптовалюта) до 10 000 долларов в месяц (полная библиотека по всем классам активов). Каждый пл��тный план включает 14-дневную бесплатную пробную версию.
• Традиционные рыночные данные продаются за закрытыми дверями — непрозрачное ценообразование, пакетные контракты, демо-записи до того, как вы сможете что-либо увидеть. Терминал меняет это. Цены публичны, уровни понятны, и вы сами оцениваете качество данных, прежде чем принять решение.
• Запущен в тестовом режиме одновременно с Polymarket в качестве уровня проверки для трейдеров на рынке прогнозов. Теперь он существует сам по себе — это главный вход во все продукты Pyth и самообслуживаемый шлюз для более чем 700 блокчейн-приложений.

АСПЕКТАКЛИ:
💡 «Bloomberg берет 250 000 долларов в год за терминал. Pyth предоставляет вам более 3000 потоков данных бесплатно — оплата производится по мере необходимости» | 💡 «Посмотрите данные, прежде чем платить за них. В этом вся суть.» | 💡 «Входная дверь открыта. Заходите.»

🔗 ССЫЛКА НА ЭТОТ КОНТЕНТ:
👉 https://t.co/lhoQiobOzL
Откройте терминал. Просмотрите потоки данных. Это бесплатно. Каждый клик, репост и регистрация из вашего контента имеют значение. Привлекайте сюда свою аудиторию.

ИСТОЧНИКИ:
https://t.co/uxilRY19dU
https://t.co/lhoQiobOzL

[INT @INTCRYPTO0dlv]

@theparuchh Of course, a stable income is better than emotional swings, in my opinion.

[INT @INTCRYPTO0dlv]

Pyth Pro Futures Launches at an All-Time High

Cocoa, coffee, crude sugar, and live cattle futures data feeds are now available on Pyth Pro. The product catalog now includes soft commodities, grains, livestock, energy, and metals—all with a single subscription and API. Prices for all futures are delivered to the blockchain one data feed at a time.

• Four new futures data feeds have been launched: cocoa (CA), coffee (CF), crude sugar (RS), and live cattle (LC). • ICE Softs and CME Hours prices have been added to the existing list of prices for corn, wheat, soybeans, oil, natural gas, gold, and silver.
• Pyth Pro now contains over 3,000 price feeds for cryptocurrencies, stocks, currencies, commodities, and metals—accessed through a single API on https://t.co/VJ5DHXFXdw.
• Commodities matter right now. Rising tariffs, supply chain disruptions, and climate instability make commodities and livestock some of the most actively traded contracts amidst an uncertain macroeconomic environment.
• New data feeds are being added weekly. In early 2025, Pyth surpassed 1,000 price feeds on the blockchain. In recent months, prices for energy, stocks, commodities, and livestock have been added.
• These data feeds power prediction markets, perpetual exchanges, and structured products. Any venue creating multi-asset products now has access to institutional-grade commodity prices without having to pay for traditional data providers. @PythNetwork

SOURCES:
https://t.co/Q7ikldlPpW
https://t.co/9CEwt3qCO0
https://t.co/zNZVNt1aCs

[Pyth Network 🔮 @PythNetwork]

The softs and a side of beef 🥩

Cocoa (CA), Coffee (CF), Raw Sugar (RS), and Live Cattle (LC) future feeds are now live on Pyth Pro.

[Paruchh @theparuchh]

> 2010: hire a junior quant
> pay him $650,000/year
> his only job: turn ideas into deployable strategies
> week 1: he writes the code
> week 3: he debugs
> week 5: he backtests
> week 6: senior kills it. start over
> week 7 of every cycle: $87,500 spent. nothing live yet
> 2026: a retail trader types one sentence
> 90 seconds later it's running on his broker

12,000 traders already on the waitlist

median time from signup to first backtest: 11 minutes

the $87,500-per-hypothesis moat is gone

[bytez @6uappi]

https://t.co/4TPlrGPhKp

[toxacnphnk.eth @TOXA_CNPHNK]

let me explain what's actually happening with $ZOE and why most of CT is gonna miss this entire window

@charmsai is launching their public platform this month. character economy. AI characters that are tokens, tokens that are characters, every trade pays creator fees forever.

$ZOE is the first one. live this week on @base, deployed through @clanker_world.
CA: 0xC29832025E7652ef58D15F7fA3e232A2fDfaaB07

three things you need to clock:

1. this is the platform's launch token. not a random clanker. the FIRST character ever shipped from Charms, used by the team to demo what the entire economy will look like once public launch hits. every other character coming after $ZOE references $ZOE. that's a specific kind of asset and the market historically misprices these on day 1.

2. the creator fee model is the real bull case. Charms straight up posted: if you had launched Zoe, you'd have made $15K+ in fees in 24h. that number tells you exactly how much volume they're routing through this thing. 0.8% of every single trade goes to creator. perpetually. now imagine that fee tap on a token that becomes the reference asset for an entire AI character economy.

3. they're paying $15K + 3 months of fees to top 3 posters. think about what that means. they have so much confidence in the volume this thing will do that giving away 3 months of creator fees is a worthwhile marketing budget. teams don't do that math unless they expect the fee pipe to be massive.

Clanker as the deployment layer is also not a footnote. CLANKER itself runs a revenue -> buyback flywheel. that infrastructure is battle tested. $ZOE plugs into a system that already works.

the setup:
- first character from a platform launching this month
- pre-public-launch entry window
- proven fee mechanics
- Clanker rails underneath
- team aggressively seeding distribution

i'm not telling you what to do. i'm telling you the structure of this launch is one of the cleaner asymmetries on Base right now and the entry window is measured in days not weeks.

https://t.co/maq3BSI32m if you wanna talk to her first. then decide.

NFA. obviously.

[Variational @variational_io]

https://t.co/FiGmhI5YSy

[Templars Trade @TemplarsTrade]

⚔️ Introducing Templars.

A professional trading terminal built on top of @nadoHQ

One interface for everything serious traders need:
- Fast execution
- Automated bots
- On-chain analytics

NADO gives you the market. Templars gives you the edge.

Launching soon.

[Spivach @0xSpivach]

https://t.co/ejsPh6aGJi

[Spivach @0xSpivach]

https://t.co/0fTOJ6dwBY

[Paruchh @theparuchh]

https://t.co/Aun3E4Lg91

[INT @INTCRYPTO0dlv]

Welcome to the Pyth data marketplace!

Six of the world's largest financial institutions—Euronext, Fidelity, Tradeweb, SGX FX, OTC Markets Group, and Exchange Data International—have chosen Pyth as their blockchain data distribution layer.

• Euronext, Fidelity Investments, Tradeweb, SGX FX, OTC Markets Group, and EDI now publish their data through Pyth. This is the first time any of these organizations have distributed data over the blockchain infrastructure.
• New data categories have been opened: spot currencies, precious metals, oil swaps, OTC prices, ETF valuations (iNAV), bonds, corporate actions, and reference data. These are the most difficult-to-access segments of the $50 billion market data industry. • The Data Marketplace platform allows organizations to distribute their datasets globally—across 100+ blockchains and 700+ applications—while maintaining full control over attribution and pricing. No repackaging. No middlemen.
• Three continents, six categories of organizations: buyers (Fidelity), European exchanges (Euronext), Asian FX benchmarks (SGX), OTC data, reference data, and ETF valuations. The breadth of coverage in a single announcement speaks for itself.
• This is a new revenue stream for DAOs. Organizations pay for data distribution via Python. The network grows with each added dataset.

Sources:
https://t.co/YzZWbDWU8Z
https://t.co/WNCQnZDtMn
https://t.co/8qB9syhK0a

@Polymarket @PythNetwork

[Pyth Network 🔮 @PythNetwork]

Meet the six leading institutions now publishing on the Pyth Data Marketplace 🔮

The world's most established financial firms are choosing Pyth’s onchain infrastructure as a primary distribution channel.

[INT @INTCRYPTO0dlv]

Pyth + Polymarket Revenue History

Pyth Pro launched seven months ago. Since then, nearly $500,000 in revenue has been funneled into the DAO—with the monthly amount nearly tripling since launch. Every dollar funds open market purchases of PYTH. And the revenue streams are multiplying.

• Since September 2025, nearly $500,000 in revenue has been funneled into the DAO from Pyth Pro. Monthly payouts to the DAO have nearly tripled from launch to March 2026.
• Pyth Pro is one of six revenue streams that go into the DAO treasury. Subscriptions, listing fees, data marketplace fees, Core fees, Entropy fees, Express Relay fees—and more are being formalized.
• Each month, 1/3 of the DAO treasury is used to purchase PYTH on the open market. More customers = more revenue = more buybacks. The flywheel operates mechanically and in real time.
• Total addressable market: Institutional investors spend over $50 billion annually on market data. Traditional providers charge $250,000 per month. Pyth Pro starts at $99 per month. Even 1% coverage equals $500 million in annual revenue. Current trajectory: Nearly tripled growth in 7 months and accelerating.
• Polymarket now directly mentions Pyth Pro in its documentation – $99 per month, first 30 days free, real-time WebSocket data. The world's largest prediction market is a paying client.

Sources of information confirming the above:
https://t.co/yVSDf2oQiS
https://t.co/J5xJ1Xeibt
https://t.co/3FOlajQysc

@Polymarket @PythNetwork

[INT @INTCRYPTO0dlv]

Polymarket and Pyth Join Forces!

The world's largest prediction market has chosen Pyth Pro to power its traditional asset markets—from gold to TSLA. Millions of users. Real money. Every price updated every second.

• Polymarket updates every second using Pyth's real-time data from the institutions that actually set those prices—Jump Trading, LMAX, Cboe, Jane Street.
• Pyth data has supported $2.7 trillion in transaction volume across over 700 apps. The same infrastructure is now used to settle prediction markets, where millions of dollars depend on a single price point.
• Polymarket Head of Product Mustafa Aljaderi (@mustafap0ly): "Millions of dollars can depend on a single price point, and that requires absolute confidence in the source of the truth. Pyth provides that confidence."

• Pyth Terminal has also been launched, allowing anyone to explore and test the full Pyth data library in real time.

To verify the above, follow the link below:
https://t.co/Dy6r6z0KaF

@Polymarket @PythNetwork

[Pyth Network 🔮 @PythNetwork]

BREAKING: @Polymarket just went live with traditional asset markets, powered by Pyth Pro 🔮

Major equity index ETFs, commodities, single-name US equities up/down + daily close contracts. All relying on Pyth data.

Here's how it works and why it matters 🧵

[Paruchh @theparuchh]

Polymarket just quietly became a TradFi trading floor

Gold, Silver, Oil, Natural Gas, TSLA, NVDA, PLTR
Daily up/down markets, real money, real prices

But here's what most people missed:

Every single price updates every second.
The data comes from Jump Trading, LMAX, Cboe, Jane Street

The infrastructure powering it all? @PythNetwork

The same oracle that secured $2.7 TRILLION in volume across 700+ apps

@Polymarket Product Lead Mustafa Aljadery:
"Millions of dollars can hinge on a single price point that demands absolute confidence in the source of truth. Pyth delivers that."

Prediction markets aren't just politics anymore

This is the merge

[Alexandr @xzolmoney]

Glo Mo Team

Polymarket just integrated Pyth Pro as the data source for a completely new category of markets gold, oil, ETFs, TSLA, NVDA, PLTR. Real money, millions of users, every price updated every second.

As someone who frequently uses the Polymarket API and has also used and continues to use Pyth Pro data, I’m simply amazed at how quickly they are integrating, and how markets are finally starting to understand that Pyth is the first and best price provider. I’m using it as part of the Hackathon 2026, and believe me, the data transmission speed is just incredible

You can verify all of this yourself in real time at pythdata app Open it, see with your own eyes how Pyth Terminal works 💜

[INT @INTCRYPTO0dlv]

@theparuchh I'll be amazed by your knowledge. I won't have time to read your articles before new ones come out. Keep up the good work!

[Paruchh @theparuchh]

https://t.co/M2A3SBGoLh

[Crypto Kit @KittaKitka]

RAPED. BACKPACK EDITION

2 years of support.
4.5B referral volume.
2B personal trading volume.
400+ mentions of the project

After TGE:

$200K+ lost
0 support

A short story about how my two years of supporting the project ended.
Part 1

https://t.co/h9A1xm48RN