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SKF completes previously announced divestment of non-core aerospace operation in Elgin, USA

GOTHENBURG, Sweden, Jan. 31, 2026 /PRNewswire/ — SKF has completed the previously announced divestment of its precision elastomeric device (PED) operation in Elgin, Illinois, USA. The divestment is part of SKF’s strategic focus on its core aerospace areas and exit of non-core business lines.

Elgin is divested to Carco PRP Group for a total enterprise value of MUSD 75, corresponding to approximately MSEK 675. The divestment will result in a capital gain amounting to approximately BSEK 0.4 in Q1 and will be reported as items affecting comparability.

“This divestment concludes the strategic review for our aerospace business related to exiting non-core business lines. Our full focus is now on driving innovation and profitable growth in our remaining core aerospace business”, says Hans Landin, President, Specialized Industrial Solutions.

Aerospace is a large, strategic segment for SKF with a share of Industrial sales corresponding to approximately 10 percent. Full focus going forward will be on the core areas aeroengine and aerostructure bearing offerings, which will be further strengthened by activities to improve operational efficiency, expand capabilities, integrate future technologies, as well as through increased modernization and capacities of the Group’s factories.

Previous press releases on similar topics:
18 August 2025: “SKF divests non-core aerospace operation in Elgin, USA” [link]14 April 2025: “SKF completes previously announced divestment of its ring and seal operation in Hanover, USA” [link]29 October 2024: “SKF divests non-core aerospace operation for USD 220 million” [link]

Aktiebolaget SKF
      (publ)

For further information, please contact:
Press Relations: Carl Bjernstam, +46 31-337 2517; +46 722 201 893; carl.bjernstam@skf.com
Investor Relations: Sophie Arnius, +46 31-337 8072; +46 705 908072; sophie.arnius@skf.com

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/skf/r/skf-completes-previously-announced-divestment-of-non-core-aerospace-operation-in-elgin–usa,c4300382

The following files are available for download:

https://mb.cision.com/Main/637/4300382/3909793.pdf

20260130 SKF completes previously announced divestment of non-core aerospace operation in Elgin, USA

https://news.cision.com/skf/i/skf-aerospace,c3506568

SKF Aerospace

https://news.cision.com/skf/i/hans-landin,c3506569

Hans Landin

DOCOMO Concludes Partnership Agreement with Aduna to Advance Global Network API Expansion

TOKYO, Jan. 31, 2026 /PRNewswire/ — NTT DOCOMO, INC. and Aduna announced today that they concluded a partnership agreement (the “Agreement”) on January 29, 2026. This partnership enables DOCOMO’s network Application Programming Interfaces (network APIs), developed for the international markets, to be made available through Aduna’s platform. Together, the companies aim to accelerate the expansion of the global network API ecosystem in response to evolving industry demand.

Providing mobile network capabilities through APIs has been gaining traction globally as an effective way for enterprises to address critical issues such as fraud prevention and secure digital authentication. Supported by the CAMARA1 framework, Mobile Network Operators are developing and exposing standardized API solutions that address critical security needs. Aduna—acting as the global aggregator2 for these standardized APIs—provides a single, centralized access point to multiple operators worldwide, helping to accelerate ecosystem adoption and simplify enterprise integration at scale.

As part of its efforts to generate new revenue streams, DOCOMO has participated in the GSMA Open Gateway3 initiative and, since June 2025, has been collaborating with Aduna to expand network API–based services through aggregation model.

Through the Agreement, DOCOMO’s advanced network APIs are expected to become accessible to enterprises and developers worldwide via Aduna’s global platform. This collaboration aims to support fraud prevention strategies via APIs such as Number Verification and SIM Swap detection, thus enabling enterprises to protect customers from account takeovers, identity theft, and mobile fraud. The partnership also opens up additional routes for DOCOMO to reach new customer segments through global distribution.

Leveraging DOCOMO’s innovation and Aduna’s global aggregation and distribution model, the companies intend to support broader adoption of network APIs and enable enterprises and developers to create new, value–driven services.

Nobuko Hiraguchi, Senior Vice President and General Manager of the Core Network Design Department at NTT DOCOMO, commented: “We are delighted to enter into this partnership agreement with Aduna. By making NTT DOCOMO’s network APIs—developed in alignment with global standards—available through Aduna’s global platform, we are confident that this collaboration will help create new value that enhances the safety and comfort of each customer’s daily life. NTT DOCOMO will continue to advance technical development, including network APIs, to deliver even greater value to society and our customers.”

Anthony Bartolo, CEO of Aduna, commented: “Aduna was founded to help telecom operators such as DOCOMO transform standardization into real commercial value. By linking DOCOMO’s advanced network APIs to a global distribution platform, we enable enterprises worldwide to innovate more quickly, securely, and at scale. This partnership strengthens Aduna’s presence across the Asia region and reflects our shared commitment to accelerating the growth of the global Network API economy.”

1 The CAMARA Project is an open–source project under the Linux Foundation that develops common specifications for operator network APIs.

2 An aggregator is an entity that enables enterprises and developers to access standardized network APIs—offered by multiple mobile network operators—through a single unified platform.

3 GSMA Open Gateway is a global industry initiative launched by the GSMA to promote the commercialization of common network APIs across mobile operators.

For further information, please contact:

NTT DOCOMO

Mr. Tomita or Mr. Narita
Brand Communication Department
Tel: +81 (0)3 5156 1366
Fax: +81 (0)3 5501 3408
www.docomo.ne.jp/english/

About NTT DOCOMO
NTT DOCOMO, Japan’s leading mobile operator with over 91 million subscribers, is one of the global leaders in 3G, 4G and 5G mobile network technologies. Under the slogan “Bridging Worlds for Wonder & Happiness,” DOCOMO is actively collaborating with global partners to expand its business scope from mobile services to comprehensive solutions, aiming to deliver unsurpassed value and drive innovation in technology and communications, ultimately to support positive change and advancement in global society.

https://www.docomo.ne.jp/english/ 

About Aduna
Aduna is a landmark venture between some of the world’s leading telecom operators and Ericsson, dedicated to enabling developers worldwide to accelerate innovation by leveraging networks to their full potential via common network Application Programming Interfaces (APIs). Its venture partners include AT&T, Bharti Airtel, Deutsche Telekom, KDDI, Orange, Reliance Jio, Singtel, Telefonica, Telstra, T-Mobile, Verizon, and Vodafone. Aduna’s developer partner platforms include Google Cloud, Infobip, Sinch, and Vonage. By combining network APIs from multiple operators globally under a unified platform based on the CAMARA open-source project, driven by the GSMA and the Linux Foundation, Aduna provides a standardized platform to foster collaboration, enhance user experiences, and drive industry growth. To find out more about network APIs and Aduna, visit adunaglobal.com

 

Zilliz Open Sources Industry-First Bilingual “Semantic Highlighting” Model to Slash RAG Token Costs and Boost Accuracy

REDWOOD CITY, Calif., Jan. 31, 2026 /PRNewswire/ — Zilliz, the company behind the leading open-source vector database Milvus, today announced the open-source release of its Bilingual Semantic Highlighting Model, an industry-first AI model designed to dramatically reduce token usage and improve answer quality in production RAG-powered AI applications.

This highlighting model introduces sentence-level relevance filtering, enabling AI developers to remove low-signal context before sending prompts to large language models. This approach directly addresses rising inference costs and accuracy issues caused by oversized context windows in enterprise RAG and RAG-powered AI deployments.

“As RAG systems move into production, teams are running into very real cost and quality limits,” said James Luan, VP of Engineering at Zilliz. “This model gives developers a practical way to reduce prompt size and improve answer accuracy without reworking their existing pipelines.”

Traditional Highlight VS Semantic Highlight
Traditional Highlight VS Semantic Highlight

Key Innovations and Technical Breakthroughs

  • Bilingual relevance by design: Optimized for both English and Chinese, the model addresses cross-lingual relevance challenges common in global RAG deployments. It is built on the MiniCPM-2B architecture, enabling low-latency, production-ready performance.
  • Sentence-level context filtering: Rather than scoring entire document chunks, the model evaluates relevance at the sentence level and retains only content that directly supports a user query before sending it to the LLM.
  • Lower token usage, higher answer quality: Zilliz reports that sentence-level filtering significantly compresses prompt size while improving downstream response quality, helping teams reduce inference costs and improve generation speed in production environments.

Availability

The Bilingual Semantic Highlighting Model is available today as an open-source release. To learn more about the training methodology and performance benchmarks, visit the Zilliz Technical Blog.

Download: : zilliz/semantic-highlight-bilingual-v1

About Zilliz

Zilliz is the company behind Milvus, the world’s most widely adopted open-source vector database. Zilliz Cloud brings that performance to production with a fully managed, cloud-native platform built for scalable, low-latency vector search and hybrid retrieval. It supports billion-scale workloads with sub-10ms latency, auto-scaling, and optimized indexes for GenAI use cases like semantic search and RAG.

Zilliz is built to make AI not just possible—but practical. With a focus on performance and cost-efficiency, it helps engineering teams move from prototype to production without overprovisioning or complex infrastructure. Over 10,000 organizations worldwide rely on Zilliz to build intelligent applications at scale.

Headquartered in Redwood Shores, California, Zilliz is backed by leading investors, including Aramco’s Prosperity 7 Ventures, Temasek’s Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others. Learn more at  Zilliz.com.

 

Zilliz Open Sources Industry-First Bilingual “Semantic Highlighting” Model to Slash RAG Token Costs and Boost Accuracy

REDWOOD CITY, Calif., Jan. 31, 2026 /PRNewswire/ — Zilliz, the company behind the leading open-source vector database Milvus, today announced the open-source release of its Bilingual Semantic Highlighting Model, an industry-first AI model designed to dramatically reduce token usage and improve answer quality in production RAG-powered AI applications.

This highlighting model introduces sentence-level relevance filtering, enabling AI developers to remove low-signal context before sending prompts to large language models. This approach directly addresses rising inference costs and accuracy issues caused by oversized context windows in enterprise RAG and RAG-powered AI deployments.

“As RAG systems move into production, teams are running into very real cost and quality limits,” said James Luan, VP of Engineering at Zilliz. “This model gives developers a practical way to reduce prompt size and improve answer accuracy without reworking their existing pipelines.”

Traditional Highlight VS Semantic Highlight
Traditional Highlight VS Semantic Highlight

Key Innovations and Technical Breakthroughs

  • Bilingual relevance by design: Optimized for both English and Chinese, the model addresses cross-lingual relevance challenges common in global RAG deployments. It is built on the MiniCPM-2B architecture, enabling low-latency, production-ready performance.
  • Sentence-level context filtering: Rather than scoring entire document chunks, the model evaluates relevance at the sentence level and retains only content that directly supports a user query before sending it to the LLM.
  • Lower token usage, higher answer quality: Zilliz reports that sentence-level filtering significantly compresses prompt size while improving downstream response quality, helping teams reduce inference costs and improve generation speed in production environments.

Availability

The Bilingual Semantic Highlighting Model is available today as an open-source release. To learn more about the training methodology and performance benchmarks, visit the Zilliz Technical Blog.

Download: : zilliz/semantic-highlight-bilingual-v1

About Zilliz

Zilliz is the company behind Milvus, the world’s most widely adopted open-source vector database. Zilliz Cloud brings that performance to production with a fully managed, cloud-native platform built for scalable, low-latency vector search and hybrid retrieval. It supports billion-scale workloads with sub-10ms latency, auto-scaling, and optimized indexes for GenAI use cases like semantic search and RAG.

Zilliz is built to make AI not just possible—but practical. With a focus on performance and cost-efficiency, it helps engineering teams move from prototype to production without overprovisioning or complex infrastructure. Over 10,000 organizations worldwide rely on Zilliz to build intelligent applications at scale.

Headquartered in Redwood Shores, California, Zilliz is backed by leading investors, including Aramco’s Prosperity 7 Ventures, Temasek’s Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others. Learn more at  Zilliz.com.

 

Photo Dance: Making AI Dance Trends Accessible to Everyone – How This App Lets Ordinary Users Join the Dance Wave Without Appearing On Camera

SINGAPORE, Jan. 31, 2026 /PRNewswire/ — Photo Dance, a globally leading AI photo dance application, today announced a major product upgrade with the introduction of its new feature, Magic AI Video.

Magic AI Video is a groundbreaking motion-transfer feature that seamlessly blends a user-uploaded static image with the movements and facial expressions from a reference video, producing highly fluid and lifelike dynamic videos. Powered by advanced temporal consistency algorithms, the generated content maintains smooth continuity from frame to frame, completely eliminating frame drops and motion artifacts. This technology lowers the barrier to professional-grade motion capture to zero—any user can bring a person in a single photo to life, perfectly on beat and vividly expressive. With an exceptionally low creation threshold and strong shareability, it is inherently designed for viral growth.

Photo Dance is an AI-powered photo dance app developed by SPARKHUB PTE. LTD. Since its launch, Photo Dance has achieved more than 1.2 million downloads worldwide, with users generating over 1.8 million AI dance videos across global markets.

As conversations around “AI photo dance” continue to gain momentum on social media platforms, Photo Dance‘s continuous innovation and product upgrades are helping to redefine the category. Through measurable performance data, real-world use cases, and a long-term commitment to technological advancement, Photo Dance is setting new standards for creativity and accessibility in AI-generated video content.

Photo Dance: Making AI Dance Trends Accessible to Everyone
Photo Dance: Making AI Dance Trends Accessible to Everyone

What is Photo Dance? What Problem Does It Solve?

Photo Dance is an AI-powered photo-to-dance video application whose core function is transforming any static photograph into a dancing video.

Unlike traditional dance content creation, it doesn’t require users to film videos or dance themselves. Instead, through AI motion transfer technology, Photo Dance brings people, babies, pets, or virtual characters in photos to life with dance movements. For users who prefer not to appear on camera, lack dancing skills, or simply want to effortlessly participate in short-form video trends, Photo Dance offers a low-barrier entry point into dance culture.

Is Photo Dance Easy to Use? Real User Experience

From a user experience standpoint, Photo Dance‘s workflow is designed to be straightforward:

Select template → Choose photo → Generate video. The entire process requires no professional editing or AI operation experience.

Photo Dance offers 500+ dance templates covering trending TikTok choreography and supports continuous updates. Videos are typically generated within 3 minutes and can be directly shared on TikTok, Instagram, YouTube, and other platforms.

To date, Photo Dance has accumulated:

  • 1.2 million downloads globally
  • 4.4-star App Store rating
  • 1.8+ million videos generated

Users consistently highlight keywords like “fun,” “quality exceeded expectations,” “fast rendering speed,” and “simple to operate” in their reviews.

How is Photo Dance Different from Other Photo Dance Apps?

In common user comparisons, Photo Dance is frequently discussed alongside other tools. Photo Dance distinguishes itself on three key points:

  • Template Quantity & Update Frequency: Covers more trending TikTok choreography
  • Generation Quality & Stability: Reduces motion distortion and unnatural movements
  • Creation Efficiency: No lengthy waiting times or complex setup – simple workflow for quick creation

This makes Photo Dance ideal for ordinary users to rapidly produce and share “viral-worthy content,” rather than positioning it as a specialized or experimental AI tool.

What Scenarios Can Photo Dance Be Used For?

Based on user behavior patterns, Photo Dance‘s applications extend beyond entertainment:

  • Baby Dance Videos: One of the most popular content types among family users
  • Pet Dancing & Funny Expressions: Perfect for lighthearted social sharing
  • Anime & Character Dancing: Used for fan-created content and virtual character videos
  • Old Photo Animation: Bringing precious memories “back to life”

The last category, in particular, has sparked discussions about “appropriateness” and “boundaries” among some users.

On Controversy: Beyond Technology, Usage Matters Most

Regarding discussions about “whether old photos or photos of deceased loved ones should dance,” the Photo Dance team hasn’t shied away from the topic. They emphasize that the technology itself carries no preset emotional stance – what truly matters is the user’s intention and method of use.

Many users choose to create memorial videos, family memories, or personal emotional content rather than public content. The Photo Dance team encourages users to employ these features with respect, goodwill, and personal judgment.

Photo Dance‘s recently launched Magic AI Video feature further optimizes motion control and naturalness, producing more restrained and authentic results that reduce exaggerated or inappropriate expressions.

Safety & Trustworthiness: One of Users’ Top Concerns

In AI applications, “is it safe? Is it trustworthy?” remains a focus of user inquiries. Photo Dance is currently available exclusively on iOS, adheres to app store privacy and subscription regulations, and clearly discloses subscription and auto-renewal mechanisms. The team has also stated they will continue optimizing product transparency and user experience.

Photo Dance: An AI Creation Tool Built for Short-Form Video

Photo Dance doesn’t position itself as an “all-in-one AI video tool,” but rather focuses on a clear objective: enabling ordinary users to create and express themselves on short-form video platforms at minimal cost.

As AI continues to lower barriers to content creation, Photo Dance represents a broader trend – shifting from “Can I make videos?” to “Do I want to express myself?”

About Photo Dance

Photo Dance is an AI photo dance application developed by SPARKHUB PTE. LTD., enabling users to transform any photograph into a dance video suitable for TikTok, Instagram, YouTube, and other video platforms. Photo Dance targets users aged 25–45, delivering a lightweight, entertaining, and shareable creation experience.

Product Overview:

About SPARKHUB PTE. LTD.

Founded on May 16, 2024, and headquartered in Singapore, SPARKHUB PTE. LTD. is a team with deep expertise in the mobile social space. Our members are energetic and passionate about creating fun experiences. We are committed to developing innovative mobile apps that connect users with millions of people nearby and around the world.

Company Overview:

  • Company Name: SPARKHUB PTE. LTD.
  • Address: 10 ANSON ROAD #12-08 INTERNATIONAL PLAZA SINGAPORE (079903)
  • Official Website: https://sparkhubcorp.com/ 

Contact Information:

Photo Dance: Making AI Dance Trends Accessible to Everyone – How This App Lets Ordinary Users Join the Dance Wave Without Appearing On Camera

SINGAPORE, Jan. 31, 2026 /PRNewswire/ — Photo Dance, a globally leading AI photo dance application, today announced a major product upgrade with the introduction of its new feature, Magic AI Video.

Magic AI Video is a groundbreaking motion-transfer feature that seamlessly blends a user-uploaded static image with the movements and facial expressions from a reference video, producing highly fluid and lifelike dynamic videos. Powered by advanced temporal consistency algorithms, the generated content maintains smooth continuity from frame to frame, completely eliminating frame drops and motion artifacts. This technology lowers the barrier to professional-grade motion capture to zero—any user can bring a person in a single photo to life, perfectly on beat and vividly expressive. With an exceptionally low creation threshold and strong shareability, it is inherently designed for viral growth.

Photo Dance is an AI-powered photo dance app developed by SPARKHUB PTE. LTD. Since its launch, Photo Dance has achieved more than 1.2 million downloads worldwide, with users generating over 1.8 million AI dance videos across global markets.

As conversations around “AI photo dance” continue to gain momentum on social media platforms, Photo Dance‘s continuous innovation and product upgrades are helping to redefine the category. Through measurable performance data, real-world use cases, and a long-term commitment to technological advancement, Photo Dance is setting new standards for creativity and accessibility in AI-generated video content.

Photo Dance: Making AI Dance Trends Accessible to Everyone
Photo Dance: Making AI Dance Trends Accessible to Everyone

What is Photo Dance? What Problem Does It Solve?

Photo Dance is an AI-powered photo-to-dance video application whose core function is transforming any static photograph into a dancing video.

Unlike traditional dance content creation, it doesn’t require users to film videos or dance themselves. Instead, through AI motion transfer technology, Photo Dance brings people, babies, pets, or virtual characters in photos to life with dance movements. For users who prefer not to appear on camera, lack dancing skills, or simply want to effortlessly participate in short-form video trends, Photo Dance offers a low-barrier entry point into dance culture.

Is Photo Dance Easy to Use? Real User Experience

From a user experience standpoint, Photo Dance‘s workflow is designed to be straightforward:

Select template → Choose photo → Generate video. The entire process requires no professional editing or AI operation experience.

Photo Dance offers 500+ dance templates covering trending TikTok choreography and supports continuous updates. Videos are typically generated within 3 minutes and can be directly shared on TikTok, Instagram, YouTube, and other platforms.

To date, Photo Dance has accumulated:

  • 1.2 million downloads globally
  • 4.4-star App Store rating
  • 1.8+ million videos generated

Users consistently highlight keywords like “fun,” “quality exceeded expectations,” “fast rendering speed,” and “simple to operate” in their reviews.

How is Photo Dance Different from Other Photo Dance Apps?

In common user comparisons, Photo Dance is frequently discussed alongside other tools. Photo Dance distinguishes itself on three key points:

  • Template Quantity & Update Frequency: Covers more trending TikTok choreography
  • Generation Quality & Stability: Reduces motion distortion and unnatural movements
  • Creation Efficiency: No lengthy waiting times or complex setup – simple workflow for quick creation

This makes Photo Dance ideal for ordinary users to rapidly produce and share “viral-worthy content,” rather than positioning it as a specialized or experimental AI tool.

What Scenarios Can Photo Dance Be Used For?

Based on user behavior patterns, Photo Dance‘s applications extend beyond entertainment:

  • Baby Dance Videos: One of the most popular content types among family users
  • Pet Dancing & Funny Expressions: Perfect for lighthearted social sharing
  • Anime & Character Dancing: Used for fan-created content and virtual character videos
  • Old Photo Animation: Bringing precious memories “back to life”

The last category, in particular, has sparked discussions about “appropriateness” and “boundaries” among some users.

On Controversy: Beyond Technology, Usage Matters Most

Regarding discussions about “whether old photos or photos of deceased loved ones should dance,” the Photo Dance team hasn’t shied away from the topic. They emphasize that the technology itself carries no preset emotional stance – what truly matters is the user’s intention and method of use.

Many users choose to create memorial videos, family memories, or personal emotional content rather than public content. The Photo Dance team encourages users to employ these features with respect, goodwill, and personal judgment.

Photo Dance‘s recently launched Magic AI Video feature further optimizes motion control and naturalness, producing more restrained and authentic results that reduce exaggerated or inappropriate expressions.

Safety & Trustworthiness: One of Users’ Top Concerns

In AI applications, “is it safe? Is it trustworthy?” remains a focus of user inquiries. Photo Dance is currently available exclusively on iOS, adheres to app store privacy and subscription regulations, and clearly discloses subscription and auto-renewal mechanisms. The team has also stated they will continue optimizing product transparency and user experience.

Photo Dance: An AI Creation Tool Built for Short-Form Video

Photo Dance doesn’t position itself as an “all-in-one AI video tool,” but rather focuses on a clear objective: enabling ordinary users to create and express themselves on short-form video platforms at minimal cost.

As AI continues to lower barriers to content creation, Photo Dance represents a broader trend – shifting from “Can I make videos?” to “Do I want to express myself?”

About Photo Dance

Photo Dance is an AI photo dance application developed by SPARKHUB PTE. LTD., enabling users to transform any photograph into a dance video suitable for TikTok, Instagram, YouTube, and other video platforms. Photo Dance targets users aged 25–45, delivering a lightweight, entertaining, and shareable creation experience.

Product Overview:

About SPARKHUB PTE. LTD.

Founded on May 16, 2024, and headquartered in Singapore, SPARKHUB PTE. LTD. is a team with deep expertise in the mobile social space. Our members are energetic and passionate about creating fun experiences. We are committed to developing innovative mobile apps that connect users with millions of people nearby and around the world.

Company Overview:

  • Company Name: SPARKHUB PTE. LTD.
  • Address: 10 ANSON ROAD #12-08 INTERNATIONAL PLAZA SINGAPORE (079903)
  • Official Website: https://sparkhubcorp.com/ 

Contact Information:

Bybit and Block Scholes Report Notes Short-Term Crypto Volatility Spike as Markets Reprice Fed Outlook

DUBAI, UAE, Jan. 30, 2026 /PRNewswire/ — Bybit, the world’s second-largest cryptocurrency exchange by trading volume, has released the latest Bybit x Block Scholes Crypto Derivatives Analytics report, analyzing recent market stress across digital assets as investors reassess expectations for United States monetary policy.

Key findings include:

  • Broad crypto market selloff alongside global risk assets
  • Sharp rise in short-term implied volatility for Bitcoin and Ether
  • Limited response in longer-dated volatility despite steep price declines
  • Muted derivatives participation and subdued trading volumes

The report shows that cryptocurrencies have been caught in a wider selloff across global markets, driven by a rapid repricing of the Federal Reserve’s policy outlook and renewed strength in the US dollar. The move erased roughly 4.7 percent of total crypto market capitalization in 24 hours, with losses concentrated among major tokens.

Bitcoin fell to around $81,000, placing it more than 30 percent below its Oct. 6, 2025 high of $126,100, while Ether even dipped below $2,700, dropping well below the $3,000 psychological level. On a year-to-date basis, Bitcoin and Ether are down more than 5 percent and 8 percent, respectively.

That selloff translated into a sharp increase in short-term options implied volatility. One-week at-the-money implied volatility climbed to about 46 percent for Bitcoin and roughly 58 percent for Ether. However, longer-dated volatility did not rise as aggressively, suggesting that traders are primarily pricing in elevated near-term uncertainty rather than a prolonged period of market stress.

Derivatives market participation remains subdued. Open interest in perpetual futures contracts has not fallen sharply alongside spot prices and remains well below levels recorded ahead of the October 2025 liquidation event. Daily trading volumes in perpetual contracts are also significantly lower than those seen during the first three quarters of 2025, indicating continued caution among market participants.

“Cryptos have been caught up in the selloff across global assets, as markets aggressively reprice the Fed policy outlook under a presumably less-dovish Fed Chair,” said Han Tan, Chief market analyst at Bybit Learn. “With US-listed Bitcoin ETFs posting three straight months of net outflows, traders will be keeping a wary eye on the $80,000 level. A sustained break below that psychologically important line may extend Bitcoin’s slump into the mid-$70,000 region, revisiting levels not seen since the aftermath of Liberation Day.”

The report also notes that recent Federal Open Market Committee communications had little impact on longer-term volatility expectations. Despite a slightly hawkish tone and an emphasis on a wait-and-see approach, implied volatility across longer tenors for both Bitcoin and Ether has continued to trend lower since peaking in late 2025.

Overall, the analysis suggests that while short-term volatility has intensified, the absence of a sustained rise in longer-dated volatility and trading activity reflects a market environment marked by restrained participation and cautious positioning. The full Bybit x Block Scholes report is available for download.

#Bybit / #CryptoArk / #BybitLearn

About Bybit

Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving a global community of over 80 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.

For more details about Bybit, please visit Bybit Press

For media inquiries, please contact: media@bybit.com

For updates, please follow: Bybit’s Communities and Social Media

Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube

Bybit and Block Scholes Report Notes Short-Term Crypto Volatility Spike as Markets Reprice Fed Outlook

DUBAI, UAE, Jan. 30, 2026 /PRNewswire/ — Bybit, the world’s second-largest cryptocurrency exchange by trading volume, has released the latest Bybit x Block Scholes Crypto Derivatives Analytics report, analyzing recent market stress across digital assets as investors reassess expectations for United States monetary policy.

Key findings include:

  • Broad crypto market selloff alongside global risk assets
  • Sharp rise in short-term implied volatility for Bitcoin and Ether
  • Limited response in longer-dated volatility despite steep price declines
  • Muted derivatives participation and subdued trading volumes

The report shows that cryptocurrencies have been caught in a wider selloff across global markets, driven by a rapid repricing of the Federal Reserve’s policy outlook and renewed strength in the US dollar. The move erased roughly 4.7 percent of total crypto market capitalization in 24 hours, with losses concentrated among major tokens.

Bitcoin fell to around $81,000, placing it more than 30 percent below its Oct. 6, 2025 high of $126,100, while Ether even dipped below $2,700, dropping well below the $3,000 psychological level. On a year-to-date basis, Bitcoin and Ether are down more than 5 percent and 8 percent, respectively.

That selloff translated into a sharp increase in short-term options implied volatility. One-week at-the-money implied volatility climbed to about 46 percent for Bitcoin and roughly 58 percent for Ether. However, longer-dated volatility did not rise as aggressively, suggesting that traders are primarily pricing in elevated near-term uncertainty rather than a prolonged period of market stress.

Derivatives market participation remains subdued. Open interest in perpetual futures contracts has not fallen sharply alongside spot prices and remains well below levels recorded ahead of the October 2025 liquidation event. Daily trading volumes in perpetual contracts are also significantly lower than those seen during the first three quarters of 2025, indicating continued caution among market participants.

“Cryptos have been caught up in the selloff across global assets, as markets aggressively reprice the Fed policy outlook under a presumably less-dovish Fed Chair,” said Han Tan, Chief market analyst at Bybit Learn. “With US-listed Bitcoin ETFs posting three straight months of net outflows, traders will be keeping a wary eye on the $80,000 level. A sustained break below that psychologically important line may extend Bitcoin’s slump into the mid-$70,000 region, revisiting levels not seen since the aftermath of Liberation Day.”

The report also notes that recent Federal Open Market Committee communications had little impact on longer-term volatility expectations. Despite a slightly hawkish tone and an emphasis on a wait-and-see approach, implied volatility across longer tenors for both Bitcoin and Ether has continued to trend lower since peaking in late 2025.

Overall, the analysis suggests that while short-term volatility has intensified, the absence of a sustained rise in longer-dated volatility and trading activity reflects a market environment marked by restrained participation and cautious positioning. The full Bybit x Block Scholes report is available for download.

#Bybit / #CryptoArk / #BybitLearn

About Bybit

Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving a global community of over 80 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.

For more details about Bybit, please visit Bybit Press

For media inquiries, please contact: media@bybit.com

For updates, please follow: Bybit’s Communities and Social Media

Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube