- Pin
- #Over 100 Companies Hold Over 830,000 BTC#
According to reports as of June 19, more than 100 companies collectively hold over 830,000 BTC, worth about $86.476 billion.
💬 Do you think Bitcoin will become a new norm for corporate asset allocation? How might this impact Bitcoin’s price? What’s your recent BTC trading strategy? Post to share your price predictions, market analysis, and strategies with us using the topic tag!
🎁 Meanwhile, Gate’s BTC Staking event is in full swing! Simply stake your BTC and earn up to 3% APY. Click the link to start staking and enjoy your earnings: https://ww - 🏁 Gate Red Bull Racing Tour 2025 In Full Swing!
Up to now, the total trading volume exceeded $2 billion, with top trader trading volume nearing $200 million
Join the race now & fuel your trades for real-world rewards:
✅ 5,000 GT Prize Pool
✅ VIP Seat at an F1 Grand Prix
✅ Futures Vouchers for New Signups
Start your engines & trade fast
Top the leaderboards. The Race is ON!
👉 Go Now: www.gate.com/competition/f1rb/s1
#GateRedBullRacingTour# - 📢 Gate releases its latest Reserve Audit Report!
💰 Total reserves: $10.453B
🟢 Excess reserves: $1.96B — ensuring full coverage and extra security for user assets.
Gate continues to uphold 100% proof-of-reserves and full transparency.
🔗 Read the full report: https://www.gate.com/zh/announcements/article/45617
AI on-chain trading engine Brian announces termination, founder criticizes VC preference for speculative tokens
PANews May 26 news, according to the Brian team announcement, the AI intent recognition project Brian, which began at the 2023 ETHPrague hackathon, officially announced its termination and the return of remaining funds due to the loss of market first-mover advantage and failure to secure seed round financing. The team criticized VC for focusing on TGE and speculation rather than the actual progress and application value of the project, which has led to serious construction teams being marginalized in the AI boom. Brian had planned to implement on-chain transactions using LLM for natural language and to launch a Web3 dedicated small model and practical Token, but ultimately stopped due to the speculative atmosphere in the industry and pressure from infrastructure costs.