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Powell: Cannot prematurely declare victory on inflation
Just Now
Powell advises the Federal Reserve's successor chairman: stay away from politics
4m ago
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𝙏𝙤𝙠𝙚𝙣𝙞𝙯𝙚𝙙 𝙍𝙒𝘼𝙨 𝙟𝙪𝙨𝙩 𝙘𝙧𝙤𝙨𝙨𝙚𝙙 $21𝘽 𝙞𝙣 𝙏𝙑𝙇.
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Long-term forecasts vary — $2–4T by McKinsey, up to $16T per Boston Consulting Group, but directionally, the slope is clear.
© Cryptorank🚨😵💫💥 The $85K Floor: Can Bitcoin Hold Support Amid Sustained ETF Exits ⁉️
While early January 2026 saw a brief "clean slate" recovery, the latest figures suggest institutional caution is back in the driver's seat
📉 What’s happening ⁉️
⚡️Persistent Outflows: Following a massive $1.73 billion weekly exit in late January, the trend remains shaky. Even brief "green" days (like the $6.8M inflow on Jan 26) are pale compared to the billions lost in late 2025
⚡️Price Pressure: Outflows often act as a "sell signal" for the broader market, as they represent institutional de-risking
🔍 What does thThe U.S. crypto market has witnessed a significant internal rift as of late January 2026, with industry giants Ripple and Coinbase taking opposing stances on the newly amended CLARITY Act.
WHAT'S THE WAY FORWARD FOR BITCOIN?
PUMPING OR DUMPING SOON ? FIND OUT HERE:
As of January 27, 2026, Bitcoin ($BTC ) is trading around $87,700 - $88,600 (With a live price of $88,300 at the time of writing) showing signs of consolidation after recent volatility. The cryptocurrency has been under pressure from macroeconomic factors, geopolitical tensions (such as U.S.-Iran issues), and market rotations away from risk assets. This has led to a choppy trading environment, with BTC struggling to reclaim higher levels like $90,000 while defending key supports. Short-Term Price Movement (1-30 DGate Square New & Returning Creator Rewards are ongoing!
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Amazon launches custom AI chip Trainium3, NVIDIA faces a new round of competition.
Golden Finance reports that Amazon Web Services has publicly launched its custom AI chip, Trainium3. The company states that the chip's computing speed is four times that of the previous generation AI chips. Compared to systems using equivalent GPUs, Trainium3, produced by AWS's Annapurna Labs custom chip design business, can drop the cost of training and operating AI models by up to 50%. These chips are designed to provide more powerful computing power for software developers, including Dean Lehtsdoff, co-founder and CEO of AI video startup Decart. Lehtsdoff stated that after testing several competitor chips, including Nvidia processors, his company made breakthroughs with Trainium3. The launch of Trainium3 is the latest offensive against Nvidia, which dominates the GPU market, as more and more AI companies are seeking to diversify their suppliers by purchasing chips and other hardware from companies outside of Nvidia.