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Crypto Markets Edge Higher as Bitcoin, Ether Gain Despite Heavy Liquidations

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Prices rose modestly after a stronger-than-expected U.S. manufacturing report.

Crypto markets traded higher on Monday evening after a stronger-than-expected U.S. manufacturing report helped lift broader risk sentiment.

Bitcoin (BTC) was trading around $78,338, up roughly 2.1% over the past 24 hours, while Ether (ETH) rose about 1.5% to $2,338, according to CoinGecko.

BTC Chart

Among other large-cap tokens, BNB gained about 2.3% to $772, while XRP climbed 1.8% to $1.62. Solana (SOL) rose roughly 3.5% to $104.73, recovering some of its recent losses.

The total cryptocurrency market capitalization stood at approximately $2.72 trillion, up about 2.3% on the day, while 24-hour trading volume totaled roughly $223.3 billion.

On the upside, MYX Finance (MYX) led the day’s gainers, rising about 13.3%. MemeCore (M) advanced roughly 11.1%, while Hyperliquid (HYPE) gained about 10.6%.

On the downside, Monero (XMR) fell around 6.7%, while pumpfun (PUMP) slipped about 5% and Rain (RAIN) dropped 4%.

Liquidations and ETF Flows

Around $729.3 million in leveraged crypto positions were liquidated over the past 24 hours, according to CoinGlass. Long liquidations accounted for about $453 million, while short liquidations totaled $276 million.

Ethereum recorded the largest share of liquidations at approximately $266.3 million, followed by Bitcoin at around $233 million. CoinGlass data also showed that about 176,301 traders were liquidated during this period.

ETF flows remained mixed as of Jan. 30, with Bitcoin spot ETFs recording $509.7 million in net outflows. Meanwhile, Ethereum spot ETFs saw about $252.9 million in outflows. Elsewhere, XRP spot ETFs posted $16.8 million in net inflows, while Solana spot ETFs recorded $11.2 million in daily outflows.

Meanwhile, CoinShares’ weekly fund flows report showed investor interest in digital assets continued to wane, with $1.7 billion in net outflows over the past week.

The selloff has flipped year-to-date (YTD) flows to a net outflow of about $1 billion and has pushed total assets under management (AUM) down by $73 billion from its October 2025 peak.

Promising Macro Data

The market rebound followed a stronger-than-expected ISM Manufacturing PMI report, which tracks how U.S. manufacturing is doing month to month.

Monday’s report showed that the Manufacturing PMI registered 52.6 percent in January, a 4.7-percentage point increase compared to the adjusted reading of 47.9 percent in December 2025.

“The overall economy continued in expansion for the 15th month,” the report reads. “The New Orders Index expanded for the first time since August, with a reading of 57.1 percent, up 9.7 percentage points over December’s seasonally adjusted figure of 47.4 percent and its highest since February 2022.”

How AI Is Transforming Hotel Search: From Price Sorting to Intent-Based Rankings

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For years, hotel search has followed the same predictable formula: sort by price, stars, or distance. While functional, this approach ignores a critical factor—why a traveler is booking in the first place. A business traveler, a family on vacation, and a couple planning a romantic getaway may all see the same results, even though their needs are completely different.

Artificial intelligence is changing that paradigm. Modern AI-driven systems are moving beyond static filters and into intent-based hotel ranking, delivering search results that align with traveler purpose, context, and behavior. This shift is redefining how online travel agencies (OTAs), travel management companies (TMCs), and AI travel assistants design hotel discovery experiences.


The Limitations of Traditional Hotel Search

Conventional hotel ranking relies heavily on surface-level attributes such as nightly rate, star classification, and proximity to landmarks. While useful, these metrics don’t capture traveler intent.

For example:

  • A corporate traveler prioritizes walkability to offices, reliable Wi-Fi, and quiet surroundings.

  • A family values safety, nearby attractions, and larger room configurations.

  • A leisure or romantic traveler looks for ambiance, scenic areas, and dining experiences.

Treating all travelers the same often leads to lower engagement, higher bounce rates, and missed conversion opportunities. This is where AI introduces a smarter alternative.


What Is Intent-Based Hotel Ranking?

Intent-based hotel ranking uses artificial intelligence to understand context rather than just cost. Instead of asking, “Which hotel is cheapest?” the system asks, “Which hotel best fits this traveler’s purpose?”

AI models evaluate hundreds of variables—location intelligence, surrounding amenities, neighborhood characteristics, and historical traveler behavior—to dynamically rank hotels according to specific use cases such as business, family, or romance.

This approach delivers:

  • More relevant search results

  • Higher booking confidence

  • Better alignment between traveler expectations and actual experiences


The Role of Geospatial AI in Hotel Discovery

One of the most powerful drivers behind intent-based rankings is geospatial AI. Rather than focusing solely on a hotel’s address, geospatial intelligence analyzes the spatial relationships around it.

Advanced platforms now process hundreds of millions of spatial data points, examining factors such as:

  • Distance to offices, convention centers, schools, or attractions

  • Neighborhood noise levels and density

  • Accessibility to transport, dining, and entertainment

  • Walkability and safety indicators

By analyzing over 200 million spatial relationships, AI can accurately infer whether a hotel environment suits business travel, family stays, or leisure trips. This depth of understanding was simply not possible with traditional rule-based systems.


Speed Matters: Real-Time AI at Scale

Relevance alone isn’t enough—performance is critical. Modern travel platforms require results in real time, especially when serving AI travel agents and conversational booking interfaces.

Leading intent-based systems are now delivering sub-250ms response times, enabling:

  • Instant hotel re-ranking during live searches

  • Seamless integration with AI-powered chat interfaces

  • Scalable deployment across global inventories

This speed ensures that intelligence doesn’t come at the cost of user experience.


Why Intent-Based Rankings Matter for OTAs and TMCs

For OTAs and corporate travel platforms, intent-driven hotel search unlocks measurable business benefits:

  • Higher conversion rates through relevance

  • Reduced search fatigue and decision overload

  • Improved traveler satisfaction and loyalty

  • Smarter personalization without manual rule creation

Travel management companies can also better enforce policy compliance by surfacing hotels aligned with business intent while still offering quality options.


Powering the Future with Travel Tech APIs

Innovative platforms like Tripvento are at the forefront of this transformation. Built as a B2B travel-tech solution, Tripvento provides an intent based hotel ranking API designed specifically for OTAs, TMCs, and AI travel agents.

Instead of relying on static hotel attributes, the API uses geospatial AI to dynamically rank properties based on traveler intent—business, family, or romance—while maintaining ultra-fast response times. This allows travel platforms to embed intelligence directly into their search and recommendation layers without rebuilding their entire stack.


The Future of Hotel Search Is Intent-First

As AI continues to reshape digital travel, hotel discovery will become less about filters and more about understanding human purpose. Travelers no longer want to scroll endlessly—they want results that make sense for their trip.

Intent-based hotel ranking represents a fundamental shift in how travel platforms think about relevance, personalization, and value delivery. For companies building the next generation of booking experiences, embracing AI-driven, geospatially intelligent search isn’t just an upgrade—it’s a competitive necessity.







ISM Manufacturing PMI Rise is Bullish For Bitcoin

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A metric tracking the health of the US economy has just posted its highest monthly score since August 2022, and crypto analysts say it could signal a turnaround for Bitcoin, which is trading at $78,000.

The Institute for Supply Management (ISM) Manufacturing Purchasing Managers’ Index (PMI), a measure of manufacturing activity in the US, recorded a score of 52.6 in January, beating the market consensus of about 48.5 and ending 26 consecutive months of economic contraction, ISM stated in a report on Monday.

The index score is a closely watched metric by investors and the Federal Reserve in assessing economic strength, inflation risks, and whether to tighten or ease monetary policy. 

A score above 50 indicates the economy is expanding, while a score below 50 indicates it is contracting. The last time the ISM reading was above 52.6 was in August 2022. 

ISM Manufacturing Purchasing Managers’ Index since Jan. 2016. Source: Trading Economics

Bitcoin analysts say the strong ISM reading could signal a turnaround for Bitcoin after it hit a 10-month low of $75,442 on Monday.

Data show that the rise and fall of the manufacturing index from mid-2020 to 2023 closely mirrored Bitcoin’s (BTC) price changes over the same period.

“Historically, these PMI reversals mark the shift to risk-on conditions,” Strive’s vice president of Bitcoin strategy, Joe Burnett, said, pointing out that Bitcoin has rallied after rises in the manufacturing output index score in 2013, 2016, and 2020.

Pseudonymous Bitcoin analyst, Plan C, added: “If you don’t upgrade your understanding of the Bitcoin cycle from the 4-year halving mirage mindset to a business cycle / macro mindset fast… You will miss the boat completely on the second massive leg of this Bitcoin bull market!”