Search results for "BIT"
2026-04-13
07:41

BIT posts an analysis of Bitcoin ETF fund flows, with net inflows resuming in March

Gate News update, on April 13, BIT posted on X, saying that Bitcoin ETF fund flows have just turned positive again, and that it may achieve a continuous second month of net inflows. BIT noted that the current trend is highly similar to the same period in 2025, when early-year fund inflows were lackluster but were later followed by a concentrated surge of nearly $30 billion, driving a rebound after the tariff policy was implemented in April, and continuing through October. BIT said that net inflows resumed in March, which was the first time it turned positive since the pullback that began last October.
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BTC1,25%
06:01

BIT: Ethereum bullish call option selling pressure rising, volatility continues to trend downward

On April 6, BIT released a report stating that market trading volumes have shrunk. Bitcoin ETFs saw net inflows of $1.3 billion, while Ethereum continued to experience outflows. Geopolitical risks have not dissipated, and put-option strategies are increasingly favored. The Ethereum options market has shown significant changes, with traders choosing to sell call options more often to earn premiums.
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ETH1,43%
BTC1,25%
08:23

BIT brand makes its first appearance after the upgrade at the "Trust in Digital Finance" industry event held in Singapore.

BIT hosted the "Trust in Digital Finance" event in Singapore, discussing governance, compliance, and operational issues in the digital asset industry. The co-founder emphasized that the approval of a Bitcoin ETF will promote the institutionalization process, with increased market demands for infrastructure. The event revolved around the "Trust White Paper," discussing frameworks for risk governance and implementation. BIT, as a digital asset financial services group, is committed to bridging traditional and digital finance, with assets under management exceeding $6 billion.
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BTC1,25%
RWA-0,6%
02:32

Google Releases TurboQuant Algorithm: 3-bit KV Cache Quantization With No Accuracy Loss, Inference Speed Boosted Up to 8x

Google Research has released the TurboQuant algorithm, which can compress the KV cache of large language models to 3 bits, reducing memory usage by at least 6 times while maintaining accuracy without requiring training. The algorithm optimizes traditional quantization through two sub-algorithms: PolarQuant and QJL. Testing shows excellent performance across multiple long-context benchmarks.
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