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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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What are the differences between Ferra and other DEXs in the Sui ecosystem?
I've summarized the differences of Ferra; it is building the underlying liquidity layer for Sui!
It combines DLMM, CLMM, and DAMM into a multi-engine system, allowing LPs to deploy capital more concentrically within custom price ranges, while also adapting to different volatility and asset stages; in comparison, Cetus mainly uses CLMM, DeepBook employs a hybrid order book + AMM, Turbos and Magma are still closer to traditional constant product AMMs, which are inherently limited in dynamic ranges and programmable liquidity.
Regarding fee models, Ferra's design leans more towards protocol-level sustainability: the base fee rate and redistribution mechanisms are clearer and can be adjusted through governance; most other DEXs typically have fee rates around 0.2%–0.5%, mainly serving LP incentives, protocol fee reuse, and ecosystem recycling, which are relatively conservative.
In terms of tools and developer support, Ferra packages API/SDK, internal aggregation routing, and dynamic curve tools for issuance and liquidity management into a set of readily callable infrastructure, enabling projects to quickly deploy pools, routing, and issuance mechanisms; other DEXs often only provide trading frontends or limited SDKs, lacking unified aggregation and deeper customizable liquidity toolchains.
Therefore, its ecosystem positioning is more like a Liquidity Layer, providing a foundation for institutional trading, token issuance, liquidity mining, and other upper-layer applications; whereas Cetus, DeepBook, Turbos, and Magma mainly compete in trading experience, trading volume, or specific product forms, and do not define themselves as full-chain liquidity infrastructure.
In summary, Ferra's advantages lie in multi-engine + dynamic liquidity + programmable fees and toolchains, with leading strengths in capital efficiency, flexibility, and developer friendliness. Other DEXs may be stronger in trading volume and user scale but tend to be more conservative in liquidity customization and protocol-level fee redistribution!
#KaitoYap @KaitoAI #Yap @ferra_protocol