- 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
Mode launches the subnet Synth on Bittensor to build a DecentralizationAI for predicting Cryptocurrency prices
PANews reported on January 27 that, according to The Block, the ETH Layer 2 project Mode launched a new subnet called Synth on Bittensor, which will use Bittensor's Decentralization architecture and develop AI functions to simulate the Fluctuation of asset prices. Synth involves "Miner" generating simulated price paths, which subnet validators evaluate based on historical data to ensure that they accurately reflect real-world price dynamics and fluctuation. Initially, Synth will have Miner generate 100 BTC simulated price paths every five minutes. Miners will be evaluated and rewarded based on their accuracy in modeling future price probability distributions and their ability to generalize real-world price dynamics.