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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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⏱ AI Tokens Move Faster Than Technology.
One challenge with AI tokens is the mismatch between long-term technological timelines and market impatience. Model training, data acquisition, and real-world deployment move slowly but token markets demand constant confirmation.
When visible progress pauses, prices react immediately. This often leads to sharp rotations rather than gradual trends.
On the $TON network, STONfi acts as the execution layer for these flows, allowing traders to adjust AI token exposure efficiently without leaving the ecosystem or introducing extra friction.
In AI-driven markets, timing matters just as much as technology.
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