- Buy Crypto
- Markets
Futures- Spot
- Copy Trade
- Earn
- More
U.S. Bank Upgrades Coinbase Stock to 'Buy'
BlockBeats News, January 8th, Bank of America has upgraded Coinbase's rating to "Buy," citing reasons including accelerated product expansion, strategic realignment, and a more attractive current valuation. Bank of America pointed out that Coinbase's stock price has retraced by about 40% from its July peak, but the product momentum in the second half of the year is improving.
Bank of America emphasized that Coinbase is accelerating its layout in stocks, ETFs, and the prediction market; its Layer 2 network Base is seen as a key infrastructure-level growth engine; at the same time, Coinbase Tokenize is expected to become a significant catalyst for Real World Asset (RWA) tokenization. With the P/E ratio down about 40% from the mid-2024 level, Bank of America reiterated its $340 price target for Coinbase, implying about 38% upside, and believes that Coinbase is poised to maintain a long-term industry leadership position as it moves towards 2026.
You may also like
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.
Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K
Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?
Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.
AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition
When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer
Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1
$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor
Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.
Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.
Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?
Understanding x402 and MPP in One Article: The Two Paths of Agent Payments
Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?
It's not just the prediction market that profits from the Iraq War
The "bank card" of AI has caught the attention of the giants
Morning News | U.S. SEC approves tokenized trading on Nasdaq; Animoca Brands announces investment in AVAX tokens; Algorand Foundation completes strategic integration
$70 trillion wealth transfer, the financial gateway is being rewritten | Interview with Robinhood CEO Vlad Tenev
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.
Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K
Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?
Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.
App