- Buy Crypto
- Markets
- Futures
- Spot
- Copy Trade
Earn- More
Insider: The main buyer of TON sold by Telegram is TONX, for long-term holding and staking.
BlockBeats News, January 7th, Manuel Stotz, Chairman of the Board of Directors of the Nasdaq-listed TON Treasury Company TONX, stated that all TON sold by Telegram has a four-year vesting period. Additionally, the main buyers of the tokens sold by Telegram are the TONX company led by Telegram, intended for long-term holding and staking.
The Financial Times previously reported that Telegram's first-half revenue reached $8.7 billion, a 65% year-on-year growth, partially attributed to the TON ecosystem. The company has sold over $4.5 billion worth of TON, but Stotz emphasized that Telegram's net TON holdings have not significantly decreased and may have even increased.
You may also like
Key Market Insights for January 8th, how much did you miss out on?
From Manus' Shihong onwards, those Coinsquare interns
From Theory to Live Markets: AOT Matrix’s Dual-Brain System in WEEX AI Trading Hackathon
In crypto markets — one of the most unforgiving non-stationary systems — strategy failure is rarely caused by models being too simple. It happens because most strategies are never truly exposed to live-market pressure. This is exactly the problem WEEX AI Trading Hackathon is designed to surface — shifting the focus from theoretical innovation to real deployability, real execution, and real performance. Among the participating teams, AOT Matrix stood out with advanced AI-driven quantitative capabilities. Through its V4.4 dual-brain architecture, the system achieved end-to-end optimization — from core logic to execution — reflecting the platform’s dual emphasis on innovation and real-world performance.
All these uncommon things in the crypto world are listed on Idle Fish
Farewell to "Air" Investments: Use These 6 Key Metrics to Identify a Winning Project
USD 1 Billion Surge in Market Cap: Behind the Scenes with Trump Family Bet and CEX Shilling
Predicting Contrarian Buy Pressure in the Market: Who is Taking the Other Side of Your Trade?
The old altcoin script is outdated, take you to decipher the new market structure
$250 Billion, 6723 Rounds of Funding: Where Did Crypto VCs Invest in 2025?
Coin Ownership or Equity Ownership? The Real Question Is Being Asked Wrong
Ranger Fund Takes a New Approach to Public Offering: Can a Grassroots Team Earn Market Trust?
Wyoming Stablecoin FRNT Goes Live on Solana, Polycule Bot Hacked, What's the Overseas Crypto Community Talking About Today?
Visa Crypto Lead: Eight Key Evolutions of Crypto and AI by 2026
Key Market Information Discrepancy on January 8th - A Must-See! | Alpha Morning Report
CoinDesk 20 Performance Update: Uniswap (UNI) Dips 1.5% as Index Experiences Downturn
Key Takeaways Uniswap (UNI) experienced a notable drop of 1.5% as the CoinDesk 20 Index saw a decline.…
Rumble Launches Crypto Wallet in Collaboration with Tether, Boosting Share Value
Key Takeaways: Rumble’s latest innovation integrates cryptocurrency tipping for content creators directly within its platform. Built in partnership…
Babylon Labs Secures $15 Million from a16z Crypto to Enhance Bitcoin Collateral Framework
Key Takeaways Babylon Labs has successfully raised $15 million from a16z crypto to further develop and expand its…
Filecoin Dips Amidst Market Retreat
Key Takeaways Filecoin’s price decreased 3.6% in the last 24 hours, reflecting broader crypto market trends. The CoinDesk…
Key Market Insights for January 8th, how much did you miss out on?
From Manus' Shihong onwards, those Coinsquare interns
From Theory to Live Markets: AOT Matrix’s Dual-Brain System in WEEX AI Trading Hackathon
In crypto markets — one of the most unforgiving non-stationary systems — strategy failure is rarely caused by models being too simple. It happens because most strategies are never truly exposed to live-market pressure. This is exactly the problem WEEX AI Trading Hackathon is designed to surface — shifting the focus from theoretical innovation to real deployability, real execution, and real performance. Among the participating teams, AOT Matrix stood out with advanced AI-driven quantitative capabilities. Through its V4.4 dual-brain architecture, the system achieved end-to-end optimization — from core logic to execution — reflecting the platform’s dual emphasis on innovation and real-world performance.
App