The Quiet Rise of Used Rolex Datejust Watches in Today’s Market

The luxury watch conversation has changed noticeably over the past few years. Between 2018 and 2023, the pre owned segment expanded by more than 75%, crossing $20 billion in global value, according to Deloitte. While sports models dominated headlines during peak demand between 2020 and 2022, a different shift was happening underneath buyers were moving toward watches they could actually live with every day. That shift brought renewed attention to Datejust.

For buyers exploring a used Rolex datejust, the motivation is often different from those chasing high demand models. It is less about scarcity and more about practicality, longevity, and quiet consistency. The Datejust does not compete for attention; it earns its place through usability. This article looks at why it continues to attract buyers, what makes certain pieces stand out, and how to approach the market with better judgment.

Not Every Rolex Needs to Be a Statement

The market now includes a new type of customer who prefers watches which do not immediately show their social status. The customers want products which function as part of their everyday routines. The Datejust watch demonstrates its unique qualities at this point. The watch was created as a daily timepiece when it first launched in 1945. The Datejust watch design provides users with a versatile timepiece which they can wear in all situations. The original design purpose of the Datejust watch continues to determine its usage within current collection displays.

The Difference Between Wearing a Watch and Living With One

Many buyers realise this only after owning more than one luxury watch. Some pieces are impressive but rarely worn. The Datejust operates differently. Its proportions, dial clarity, and comfort make it a watch that fits into routine without effort.

A buyer in 2024 comparing options may initially lean toward a more popular sports model, only to find that availability, pricing, or wearability becomes a barrier. The Datejust often becomes the more practical decision not because it is simpler, but because it is more usable.

Why Similar Models Don’t Always Feel the Same

The two Datejust watches display almost identical appearance in photographs yet their wrist feel varies completely. The watch experience changes more than expected through small details which include bezel type and bracelet choice and dial finish. The market value of specific watch configurations reached a premium of 20 to 30 percent above cheaper models by 2021. People selected the two designs according to their personal preferences instead of choosing them based on their availability. The complete design assessment needs both visual elements and actual product examination to achieve its goals.

Where Buyers Hesitate and Why It Matters

One of the most common patterns in the pre owned market is hesitation. Buyers spend time comparing listings, often focusing heavily on price differences that seem significant at first glance.

For example, a 10% price gap between two Datejust models might lead to extended decision making. However, that difference is often tied to condition, servicing, or completeness. What appears to be a saving can quickly become an added cost later.

Recognising what drives these differences allows buyers to move forward with more clarity.

The Hidden Weight of Missing Details

Documentation may seem secondary when the watch itself appears intact. In reality, it carries more influence than most buyers expect. A Datejust with full set documentation can hold a 10% to 20% advantage in resale value compared to one without it.

Service history plays a similar role. Watches maintained every 5 to 7 years tend to perform more consistently and require fewer interventions. These are not visible factors, but they shape long term ownership.

The Seller Shapes the Experience More Than Expected

The seller becomes a product element when their market displays multiple listing options. The two identical watches from different sources create distinct experiences of confidence and clarity for users. Price differences of up to 25% are common in the market but they usually represent more than just the value of the watch itself. The purchase security assessment depends on three factors which include transparency and communication and verification processes. Buyers who prioritise these elements tend to avoid unnecessary complications.

Stability Over Hype Is Becoming the New Preference

Between 2020 and 2022, the market saw rapid increases across multiple Rolex models. By 2023, corrections followed, particularly for highly speculative pieces. The Datejust, however, remained relatively stable throughout.

This stability is becoming more appealing. Buyers are starting to prioritise consistency over volatility, especially when the watch is intended for regular use rather than short term gain.

A Different Kind of Value

The Datejust watch achieves its identity through standard watch designs because it does not depend on extreme measurements. The timepiece achieves its worth through its ability to blend seamlessly into regular activities. 

People who wear items that need no explanation demonstrate a self assured style. The design shows a balanced approach between functional performance and aesthetic appeal and durability.

Choosing With Clarity Instead of Noise

The process of buying a luxury watch can feel overwhelming, especially with constant exposure to trends and market fluctuations. The Datejust offers a way to step away from that noise.

For those considering a used rolex datejust, the focus should shift toward how the watch fits into daily use rather than how it performs in headlines. When that perspective changes, the decision becomes simpler.

A well chosen Datejust is not just something you own it becomes something you rely on. And that distinction is what keeps it relevant, decade after decade.

Theron A Bassett II, MBA, MA (OL), LSSMBB, CLC&M (MSI), CM (ICPM), Navy Veteran, Rises In Management, Promoting Inclusive Values

Theron Bassett, an American Manager promoting self improvement and inclusive values, known in emergency management and crisis leadership, has earned supporters, his Master of Business Administration from Capella University, Master of Arts in Organizational Leadership from UMass Global, alongside becoming a Certified Life Coach and Mentor and a Lean Six Sigma Master Black Belt recognized by the Management and Strategy Institute (MSI). Furthermore, he became a Certified Manager through the Institute of Certified Professional Managers.

Requested from UMass Global 

These credentials mark a great leap towards his development as a manager and organizational leader.

Born in 2001 in the Midwest, United States, Bassett attended Princeton High School (Ohio), where he was a benchwarmer on the men’s junior varsity basketball team and competed as a top varsity cross-country runner. He was later recruited on a partial athletic scholarship to compete in cross country, track, and volleyball at Lincoln College in Lincoln, Illinois.

By the age of 24, he oversaw a $3-5 million operational budget, guided over 45 personnel in operations, aided in providing medical support for patients in critical condition, and maintained armed security in hostile environments, such as designated combat zones, while serving in the United States Navy (per Microsoft Copilot).

Bassett, a management professional, organizational leadership professional, and cultural life coach rather than a commentator, extends his influence as the founder and rights holder of Improve or Death (@ImproveOrDeath) on X (formerly Twitter) and on Instagram; a cultural brand promoting not progressive Protestantism or Methodist theology, but Inclusive, welcoming Traditional Christianity, Traditional Classical Liberalism, American Exceptionalism, asset and property ownership.

Above all else, Bassett practices Eastern Catholicism & respects Eastern Orthodoxy.

The brand emphasizes interfaith respect among the Abrahamic faiths while rejecting ideological extremism from both the left and right.

Deconstructing both Islamophobia & Antisemitism; Its message reached tens of millions of viewers on X (formerly Twitter) in 2025.

​It is rumored that Bassett may be a candidate for a law or doctorate program—or even further combat operations in other branches of the military—despite being a management professional who could command a $230,000 salary before the age of 30.

Syndicated by a neutral third party: Locke & Westman 

The Top 10 Cheapest Crypto Hosting Locations in 2026

In 2026, the economics of Bitcoin mining have been fundamentally rewritten — not by a new generation of ASICs, not by a breakthrough cooling technology, and not by a software algorithm. The decisive variable separating miners who thrive from those who quietly unplug their rigs is something far more analog: where in the world they chose to plug in.

Hardware advantages have largely equalized across the industry. Any serious operator can acquire competitive next-generation ASIC equipment, and the publicly listed specs leave little room for differentiation. What cannot be easily copied, replicated, or arbitraged away is access to genuinely cheap, stable electricity in a jurisdiction that welcomes the industry. That combination remains rare — and those who have secured it are quietly building some of the most profitable businesses in the digital asset space.

This guide surveys the ten most compelling hosting destinations on earth right now, analyzing not just electricity costs but the full picture: regulatory climate, infrastructure maturity, energy source stability, tax environment, and the hard-won operational realities that only emerge after you’ve actually signed leases and shipped containers across borders. Where relevant, we’ve highlighted facilities from OneMiners — one of the few hosting operators that has built operational infrastructure across six of these ten countries simultaneously, which gives their team a rare comparative lens on what actually works at scale.

Why Geography Has Become the Only Variable That Matters

Consider two operators, both running identical Antminer S23 units drawing 3,400 watts each. Both are connected to the same mining pool, both see identical hashrate, and both sell into the same BTC market. The only difference is where their equipment sits. One is hosted in Nigeria at $0.04/kWh. The other is paying the U.S. national average of $0.12/kWh. The monthly electricity cost for one machine is $98 versus $294 — a difference of $196 per unit. Across a 500-machine fleet, that gap becomes $98,000 every single month, or nearly $1.2 million per year in pure cost variance. No hardware optimization closes that gap. No firmware tweak touches it. Only location does.

For operators evaluating total profitability, tools like asicprofit.com allow you to model these scenarios in real time across current BTC price, difficulty, and electricity inputs. Running those numbers across the locations in this guide will make the case more convincingly than any article could. And for those newer to mining economics — how difficulty adjustments work, how halving cycles reshape profitability thresholds — btcfq.com offers one of the clearest free educational resources available.

With that framing in place, here are the ten locations that define the frontier of mining economics in 2026.

The Top 10 Cheapest Crypto Hosting Locations in 2026

1. Nigeria — The Global Cost Leader

Electricity cost: $0.035–0.045/kWh  |  Primary source: Natural gas, expanding solar

Nigeria has quietly become the most cost-competitive mining destination on the planet, and for operators who have made the trip to visit facilities firsthand, the numbers are not theoretical. The country sits atop vast reserves of stranded natural gas — energy that has historically been flared at the wellhead because it wasn’t economical to transport. That calculation has changed dramatically as mining infrastructure has caught up with the resource base, creating electricity pricing that the rest of the world genuinely cannot match.

At $0.04/kWh, an S23 unit generates approximately $522 in monthly profit against $98 in electricity costs — assuming current BTC revenue estimates. At scale, the economics become extraordinary. OneMiners’s Nigeria facility operates at this rate with a 98% uptime guarantee and 48-hour installation windows, which is a meaningful operational commitment in a country that outside observers often dismiss too quickly. For operators focused on pure margin and willing to engage with the realities of African infrastructure — which, in practice, is more resilient than its reputation — Nigeria is the answer.

2. Ethiopia — Hydropower Surplus at Sovereign Scale

Electricity cost: $0.04–0.05/kWh  |  Primary source: Hydroelectric

The Grand Ethiopian Renaissance Dam is one of the largest hydroelectric projects ever completed on the African continent, and it generates meaningfully more electricity than Ethiopia currently consumes domestically. That surplus has to go somewhere — and the Ethiopian government has signaled sustained openness to data center and mining operations as an economic development strategy. The result is electricity pricing in the $0.04–0.05/kWh range backed by a genuinely stable, renewable energy source rather than fossil fuel economics that can shift with commodity cycles.

The OneMiners Ethiopia facility locks in rates at approximately $0.045/kWh with 24/7 on-site support and the same warranty and uptime guarantees found across their other locations. For operators prioritizing reliability alongside low cost — rather than treating the two as inherently in tension — Ethiopia represents a compelling middle path between the absolute cheapest options and the political certainty of European deployments.

3. Norway — Renewable Certainty and Regulatory Clarity

Electricity cost: $0.05–0.06/kWh  |  Primary source: 100% hydropower

Norway’s grid is powered entirely by hydroelectric generation, and the country’s regulatory framework around digital asset operations is among the most transparent and stable in the world. For institutional operators, family offices, or any mining entity that needs to satisfy ESG mandates from investors or partners, Norway is essentially the only answer at the top of the cost efficiency curve. The cold Nordic climate means cooling costs — a non-trivial line item in warmer climates — are effectively zero for the majority of the year.

At OneMiners’s Norway site, rates run approximately $0.055/kWh with all the same operational guarantees: 98% uptime, 48-hour installation, free miner relocation between their global facilities. Norway won’t offer the single-lowest electricity number on this list, but the risk-adjusted return — factoring in political stability, energy source reliability, and regulatory predictability — is elite. ESG-focused investors increasingly view the carbon footprint of mining operations as a material factor, and a 100% renewable Norwegian facility answers that scrutiny cleanly.

4. Finland — Heat Recovery as a Second Revenue Stream

Electricity cost: $0.055–0.065/kWh  |  Primary source: Nuclear and hydropower mix

Finland brings a genuinely differentiated value proposition that no other jurisdiction on this list can replicate: the ability to sell waste heat. Finnish municipalities actively purchase thermal output from data centers and mining facilities to feed into district heating systems. What is conventionally a pure cost center — the heat exhausted by ASIC miners — becomes a revenue line in the Finnish operating model. When you factor this in, the effective electricity cost at a Finnish facility can be meaningfully lower than the listed rate suggests.

The OneMiners Finland operation has integrated this heat recovery model into its facility design, creating what is effectively a dual-revenue structure from a single fleet of machines. For home-scale operators interested in smaller heat recovery implementations, PcPraha offers well-regarded silent box and heat exchanger solutions. At facility scale, however, Finland’s regulatory support for heat monetization is a structural advantage that shapes the entire business case.

5. UAE (Dubai) — Tax Efficiency at Global Scale

Electricity cost: $0.06–0.07/kWh  |  Primary source: Natural gas, expanding solar

Dubai does not win on electricity cost alone. What it offers instead is a comprehensive tax environment that transforms the economics for high-volume operators: zero personal income tax, zero corporate tax on most activities within designated free zones, and zero capital gains tax. For a mining operation generating meaningful BTC revenue, the tax savings on output can dwarf the electricity cost premium versus Nigeria or Ethiopia. The math requires modeling with your specific structure and jurisdiction of residence, but for many operators — particularly those domiciled in high-tax environments — Dubai restructures the entire profit equation.

The OneMiners UAE facility is their premium installation: air-conditioned, physically secured, and operating within a free zone framework that provides complete regulatory clarity. Rates run approximately $0.065/kWh. For high-net-worth individuals or corporate mining entities managing significant capital, the combination of operational quality and tax structuring optionality makes Dubai a serious consideration regardless of where it falls on the raw electricity cost ranking.

6. Texas, USA — Grid Incentives and Demand Response

Electricity cost: $0.06–0.075/kWh  |  Primary source: Natural gas, wind, solar, ERCOT grid

Texas occupies a unique position in global mining: it is simultaneously one of the more expensive locations on this list by headline rate, and one of the most economically sophisticated environments in which to operate. The ERCOT grid — Texas’s independent power system — creates demand response opportunities where miners can earn over $1,000 per megawatt-hour by curtailing consumption during peak grid stress events. In practice, this means your miners sit idle for an hour or two during a hot summer afternoon, and the credits earned can reduce your effective electricity rate below $0.05/kWh for the month as a whole.

The OneMiners USA facility in Texas is positioned to capture these grid participation credits, with a base rate of approximately $0.068/kWh that can be significantly improved through active curtailment strategy. Modeling these scenarios on asicprofit.com with curtailment credits included tells a more interesting story than the headline rate alone. For operators who want U.S.-domiciled infrastructure with full regulatory transparency and sophisticated energy market participation, Texas remains the clear domestic answer.

7. Kazakhstan — Strong Fundamentals, Volatile Policy

Electricity cost: $0.05–0.07/kWh  |  Primary source: Coal and natural gas

Kazakhstan has the infrastructure and the pricing to be a dominant mining destination — and for periods, it was. The electricity rates are legitimate and the physical facilities that have been built there are real. The limiting factor is a government that has demonstrated an unpredictable relationship with the mining sector: taxes have shifted unexpectedly, temporary bans have been threatened and partially implemented, and the regulatory posture has oscillated in ways that make long-term capital commitments uncomfortable. Kazakhstan belongs on any honest list of the cheapest crypto hosting locations in 2026, but the risk disclosure needs to accompany the price quote. Operators with strong local partnerships and the operational agility to navigate policy shifts can extract meaningful value here. Those who prefer consistency should look elsewhere on this list.

8. Paraguay — The Itaipu Opportunity

Electricity cost: $0.045–0.06/kWh  |  Primary source: Hydropower (Itaipu Dam)

The Itaipu Dam — shared between Paraguay and Brazil — is one of the largest hydroelectric installations in the world by installed capacity, and Paraguay’s domestic share generates far more power than the country’s economy currently requires. The surplus is largely sold to Brazil at below-market rates through treaty obligations, creating a situation where smart operators are attempting to capture that stranded generation locally. Rates in the $0.045/kWh range are achievable, and the energy source is genuinely renewable. The constraint is that Paraguay’s regulatory framework for mining is still developing, and facility quality varies considerably. The geography justifies the interest — and this location is likely to move up any 2027 version of this ranking as governance catches up with the resource opportunity.

9. Canada — Stable, Cold, and Predictable

Electricity cost: $0.06–0.08/kWh  |  Primary source: Hydropower (Quebec, Manitoba, BC)

Canada’s mining case rests on the combination of G7 political stability, hydroelectric energy in Quebec and Manitoba, naturally cold climates that significantly reduce cooling overhead, and a regulatory environment that — while not uniformly mining-friendly across all provinces — offers predictability. There are no sudden policy reversals, no currency crises, no 3 AM surprises. For operators who want to deploy capital with a long time horizon and don’t want to be managing geopolitical risk on top of market risk, Canada’s risk-adjusted returns are consistently strong even if the headline electricity rate is not the lowest on the list. It is, as one operator put it, “boring in exactly the right way.”

10. Iceland — Geothermal Baseload with Near-Zero Cooling Costs

Electricity cost: $0.06–0.08/kWh  |  Primary source: Geothermal and hydropower

Iceland rounds out this ranking with a genuinely distinctive energy profile: geothermal baseload power combined with abundant hydroelectric generation. Ambient temperatures mean that traditional cooling infrastructure — a significant capital and operating expense in most climates — is essentially unnecessary for the majority of the year. When you adjust for total cost of ownership rather than just the electricity line item, Iceland’s effective position on this ranking moves meaningfully higher. The island nation also benefits from straightforward regulatory treatment of mining operations and a long track record of data center hosting going back to the early days of the industry.

What Separates the Best Hosting Operators From the Rest

Ranking locations is the starting point, not the ending point. Within any given country, facility quality varies enormously — and the difference between a well-run operation and a poorly managed one can cost more in downtime and equipment damage than any electricity rate advantage. When evaluating a hosting partner, the metrics that matter most are uptime guarantees backed by real compensation (not just marketing language), installation timelines that reflect actual operational capability, and payout infrastructure that allows you to receive revenue reliably in your preferred format.

One aspect of the OneMiners model worth examining is their free miner relocation policy across all six of their operational facilities. As market conditions evolve — BTC price shifts, regulatory posture changes in a given country, grid economics in one location improve relative to another — the ability to move hardware without penalty provides meaningful strategic optionality. Their seven-year warranty program is also an unusual commitment; most hosting operators disclaim responsibility for hardware longevity, while OneMiners takes the opposite position. For operators comparing hosting providers, these structural differences in terms are worth weighing alongside the electricity rate.

For those earlier in their hardware research journey, Kentino — which has been in the mining hardware market since 2014 — offers a well-regarded entry point with multi-language support and a reputation for transparency with newer buyers. Getting hardware selection right before committing to a hosting contract matters significantly; the wrong machine in the right facility still underperforms.

How to Choose the Right Location for Your Operation

The framework for evaluating hosting locations involves more than comparing electricity rates. Operators who have been through the process recommend examining four dimensions simultaneously:

  • Total operational cost, not just electricity. Include shipping and import duties on hardware, facility management fees, currency conversion costs if paying in local currency, and any applicable mining taxes or royalties. The headline electricity rate can look very different once the full cost stack is assembled. asicprofit.com is the most useful tool for modeling these scenarios dynamically.
  • Regulatory stability with a time horizon. Low electricity pricing becomes worthless if a policy change disrupts operations twelve months after you’ve shipped equipment. Look for jurisdictions with a track record of consistency, not just current friendliness.
  • Payout and banking infrastructure. Can you actually receive your mining revenue — whether in BTC or fiat — through reliable channels? This sounds basic, but banking relationships and crypto-to-fiat infrastructure vary significantly by country.
  • Mobility and flexibility as insurance. The optimal location in 2026 may not be optimal in 2027. Hosting arrangements that allow for hardware relocation without penalty are genuinely worth paying a small premium for.

For anyone building their foundational understanding of mining economics before making capital commitments — difficulty adjustments, halving cycle impacts, breakeven analysis — btcfq.com remains the most accessible free educational resource in the space. The fundamentals have not changed even as the geography has.

Strategic Location Matching by Objective

Different operators have different priorities, and the best hosting location depends on what you’re optimizing for. Those focused purely on maximum per-unit margin should look first at Nigeria and Ethiopia, where the cost structure is genuinely without peer globally. Operators who need ESG-clean energy for investor or regulatory reasons will find Norway and Finland to be the natural choices — both offer renewable power with the political stability that institutional capital requires. For tax optimization at scale, the UAE’s zero-tax environment restructures the profit calculation in ways that can outweigh a higher per-kWh cost. Texas is the destination for operators who want to actively participate in energy market economics beyond simple hosting, while Canada and Iceland serve those who want long-term, low-volatility deployments with minimal operational drama.

The operators extracting the most value from the current environment are generally those who treat hosting location as a dynamic variable rather than a fixed decision — modeling their fleet across multiple geographies and adjusting allocations as conditions evolve. The OneMiners free relocation model is specifically designed to support this kind of adaptive strategy, and it represents a structural shift from the traditional “sign a two-year contract and hope” approach that characterized the industry’s earlier era.

The Bottom Line

Bitcoin mining in 2026 is a geographic optimization problem first and a hardware problem second. The locations at the top of this list — Nigeria, Ethiopia, Norway — are not secrets, but access to genuinely high-quality, professionally managed facilities within those locations is still relatively scarce. That scarcity is where the durable competitive advantage lives.

The frameworks in this guide — total cost analysis, regulatory stability assessment, payout infrastructure evaluation, and strategic flexibility planning — provide the foundation for making a location decision that holds up not just at today’s BTC price but across the cycle. Run the numbers on asicprofit.com, build your foundational understanding on btcfq.com, source equipment carefully through established hardware partners like Kentino, and when you’re ready to commit to infrastructure, evaluate operators — including OneMiners — against the criteria above.

In a market defined by tightening competition and increasingly efficient capital allocation, the operators who get the geography right early are the ones building businesses that compound. Location is the lever that moves everything else.

DISCLAIMER

This article is for informational purposes only and does not constitute financial or investment advice. Bitcoin mining involves significant risk including hardware depreciation, electricity cost fluctuations, regulatory changes, and cryptocurrency price volatility. Past performance does not guarantee future results. Electricity rates quoted are approximate and subject to change. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.

From a saved reel to a booked trip, Alike unveils AI-driven upgrade to simplify travel

First-of-its-kind travel platform that connects every stage of the journey, from initial discovery and group planning to seamless booking and monetisation

London, UK –  14th April 2026 – Alike today unveiled the next-gen upgrade of Infinity, its proprietary travel platform, to connect inspiration, planning, booking and creator monetisation in a single experience replacing the browser tabs, booking apps and scattered confirmations that define how most people travel today.

Built on the belief that travel has always been driven by people rather than algorithms, Alike combines AI with authentic human recommendations to cover every stage of the journey.  

“Every great trip starts with a person: a friend’s photo, a creator’s reel, a story someone told you. We built Eia to honour that. It turns a saved reel into a bookable itinerary, plans with your friends in real time, and stays with you through the trip itself. When one of our travellers lost their luggage in Bali, Eia flagged it, and a human advisor stayed on it until the bags came back. Technology should handle the complexity. People should handle what matters,” said Ashish Sidhra, co-founder of Alike.

Eia, Alike’s AI travel twin, accepts inspiration directly from Instagram reels and YouTube videos and converts them into detailed trip plans. Friends and family can pull in their preferences and co-build itineraries in real time. Once a plan is ready, hotels, experiences, visas, eSIMs, and transfers are all booked in one place. Alike has a busy roadmap to keep on enhancing Eia’s capabilities and very soon Eia will be able to monitor the itinerary, send reminders, and respond to disruptions during a trip, offering re-scheduling options where it can, or escalating to a trained human travel advisor when the situation demands it. And once the trip is finished, Eia will be able to assemble photo memories into shareable albums and will help travellers publish their trip plans on their personal Creator Studio on Alike to earn a commission each time someone books from their plan.

Youtube Video: https://www.youtube.com/watch?v=nv15af9XR8c 

Alike was founded in 2022 with a mission to simplify personalised travel and offer convenience, which has inherently been a fragmented industry. Alike is the only platform in the market that brings together an AI travel twin, real human advisors, and a creator commerce loop in a single connected experience, ending the era of juggling multiple apps, sites, and scattered confirmations just to take a trip.  

The platform is live at Alike’s website

About Alike: Alike is building the world’s first truly connected, AI social travel platform. By combining AI with the authenticity of recommendations of fellow travellers, Alike aims to create a new, fragmentation-free way of sharing, discovering, planning, and booking travel to replace today’s multi-app, multi-tab chaos with a single, connected journey. Powered by its modular, AI-native platform Infinity, Alike’s AI twin, Eia, works in tandem with a growing community of travel creators to deliver personalised, end-to-end trips at scale. Having served 425K+ travellers across 200+ nationalities  with a 4.8/5 rating on Reviews.io, Alike operates across the UAE, UK, and India. For more information, visit www.alike.io. 

Press Contact:
Alike Group Limited
Sneha Chamaria
media@alike.io
https://alike.io/

The Myth of Beating the Market and Why AI Might Actually Change That

For decades, the investment industry has been built on a simple promise: with enough expertise, discipline, and information, skilled professionals can consistently beat the market. That promise has shaped everything from active mutual funds to hedge fund strategies, even as data continues to show that sustained outperformance is the exception rather than the rule.

In 2025, that tension has only intensified. Despite record levels of data availability, computing power, and analytical sophistication, most active managers still fail to outperform broad benchmarks. Against this backdrop, Eldad Tamir, CEO of FINQ, is advancing a more radical proposition: that the next evolution of investing will not be human-assisted AI, but AI-led investing, already expressed through ETFs such as AIUP and AINT.

The performance gap that won’t close

The gap between belief and reality in active investing remains stubborn. According to the latest S&P Dow Jones SPIVA report, 79% of active large-cap U.S. equity funds underperformed the S&P 500 in 2025, one of the weakest years on record for active managers in two decades of data. Over longer horizons, the challenge compounds: roughly 88% of large-cap funds underperform over 15 years, underscoring how persistent the issue has been.

Even short-term improvements in market dispersion have done little to reverse the structural trend. While there are occasional cycles where stock pickers narrow the gap, the long-term trajectory remains largely unchanged: most active strategies fail to justify their fees after costs.

“The whole idea of INDEX investing is based on the merits that humans just cannot process all relevant data in an efficient way, and therefore cannot beat the index in a consistent way,” Tamir says. “Well, that is no longer true. With FINQAI and its relative continuous ranking, we can always find what stocks are top-ranked and what stocks should be sold short or left out in order to do better than the indexes.”

Index investing’s original assumption is breaking

Index funds were built on a simple premise: markets are too complex for humans to consistently process all available information, so broad exposure is the most rational approach. That logic has driven trillions into passive strategies.

But the informational environment has changed. In a typical trading day today, markets digest earnings updates, macroeconomic releases, alternative data, and sentiment signals in real time, far beyond what any individual portfolio manager can track manually.

“A portfolio manager may follow a few dozen companies closely, but it’s very difficult to continuously analyze hundreds of companies across many different data sources at the same time,” Tamir explains. “The AI evaluates financial statements, analyst estimates, news, reports, and public sentiment for all 500 companies in the S&P 500 daily.”

This is where the debate begins to shift. If the original justification for passive investing was information overload, AI introduces a competing thesis: that overload is no longer a human constraint.

AIUP and AINT: two expressions of the same intelligence

FINQ’s approach is already being tested in live market structures through two ETFs built on the same underlying AI ranking system, but expressed differently depending on investor objectives.

AIUP is structured as a concentrated long-only portfolio, designed for investors who still want directional exposure to U.S. equities while replacing discretionary stock selection with systematic AI ranking.

AINT takes a different approach, applying a long-short, market-neutral framework using the same ranking logic, going long higher-ranked companies and short lower-ranked ones.

“The goal was to show that the AI framework is not tied to a single market view or strategy,” Tamir says. “A long-only strategy like AIUP is designed for investors seeking exposure to U.S. equities with systematic stock selection. A market-neutral strategy like AINT uses the same rankings but expresses them differently—going long the higher-ranked companies and short the lower-ranked ones.”

The implication is subtle but important: the innovation is not the ETF wrapper; it is the decision engine underneath it.

From human bias to systematic execution

Even when human managers have access to similar data, execution remains inconsistent. Behavioral finance research has long shown that emotional responses, fear during drawdowns, and overconfidence during rallies can significantly impact returns over time.

Tamir’s critique is direct. “I believe people are bad at making cold, logical decisions,” he says. “They add feelings such as fear and greed. They easily fall into inherited conceptions, and their ‘computing power’ for heavy lifting in online data processing is lousy.”

In contrast, AI systems apply the same rules across all market environments, regardless of volatility or narrative pressure.

“Humans react to greed, fear, headlines, or short-term narratives during crises,” Tamir says. “The AI continues to collect market data, evaluate all companies, and apply the same analytical process regardless of whether markets are calm or under stress.”

Redefining what it means to beat the market

The debate is often framed as active versus passive investing. But the rise of AI introduces a third category: systematic, continuously learning decision engines that do not rely on prediction or intuition, but on scalable, repeatable ranking systems.

That shift matters because even passive investing is no longer purely “do nothing.” It is a rules-based system that has already replaced human discretion. AI, in Tamir’s view, is the next step in that evolution.

“Financial markets generate enormous amounts of data, and technology is simply better suited to analyze that information and apply consistent decision frameworks,” he says. “Human portfolio managers are inevitably influenced by fear, greed, narratives, and incentives. AI systems can process far more information and make decisions systematically without those biases.”

The question, then, is no longer whether AI can outperform humans occasionally. It is whether human-driven decision-making can remain competitive in a system where machines update, rank, and rebalance continuously across thousands of signals.

For Tamir, the direction of travel is already clear. “We are just in the initial stage of the immense opportunity that AI can bring to this market.”

SardineAI Corp Announces Framework Positioning Real-Time Bot Detection Within Fraud Infrastructure

New York, United States – 14th April 2026 – SardineAI Corp announces the release of a framework that positions real-time bot detection within fraud and risk infrastructure across digital environments. The framework introduces a structured model that connects bot detection workflows with fraud prevention, identity evaluation, and operational decision systems. The release reflects an expanded scope for bot-related risk assessment beyond edge filtering and traffic classification.

The framework defines real-time bot detection as an integrated process that evaluates session activity, device conditions, network attributes, and behavioral patterns within active user interactions. The model aligns detection processes with transaction flows, authentication steps, onboarding sequences, and account lifecycle events. The framework outlines how detection signals can be assessed at the moment of interaction rather than through retrospective analysis.

The release details a transition from perimeter-based controls toward infrastructure-level coordination. The framework describes how bot-related signals can be incorporated into fraud decisioning pipelines, case management systems, and risk evaluation workflows. The structure connects detection outputs with operational processes such as alert generation, review prioritization, and system response handling.

The framework incorporates device intelligence and behavior biometrics as part of a combined signal model. Device intelligence elements include environment validation, configuration analysis, and detection of emulator or proxy-based access patterns. Behavior biometrics elements include interaction timing, input consistency, navigation depth, and session continuity. The framework describes how these signals can be evaluated together to identify inconsistencies across session activity.

The release outlines how automation-related risks intersect with multiple operational areas. The framework describes scenarios involving credential-based access attempts, payment workflow interaction, and account activity patterns that may involve automated behavior. The model connects these scenarios with impacts on fraud investigation processes, system load distribution, and customer interaction flows.

The framework includes a session-based risk evaluation structure that focuses on entity consistency across interactions. The model describes how session signals, device attributes, and behavioral indicators can be correlated to assess alignment between activity patterns and expected user behavior. The structure supports evaluation across multiple stages of interaction rather than isolated event checks.

The release provides a design approach for integrating real-time bot detection into broader infrastructure components. The framework outlines connections between detection systems and downstream processes, including risk scoring engines, authentication mechanisms, and transaction monitoring systems. The structure defines how signal aggregation can support decision consistency across different operational layers.

A company representative statement accompanies the release. “The framework reflects a structured approach to placing bot detection within operational risk systems that extend beyond traffic filtering,” said Daniel Kessler, Chief Technology Officer at SardineAI Corp. “The model connects detection signals with session-level evaluation, device context, and behavioral analysis within active workflows.”

The framework is presented as a reference model for aligning bot detection with fraud infrastructure components. The release includes technical descriptions of signal categories, evaluation timing, and integration points within operational systems. The framework defines real-time bot detection as part of a broader system of risk evaluation that incorporates device intelligence and behavior biometrics within transaction and identity processes.

About SardineAI Corp

SardineAI Corp is a technology company focused on risk infrastructure, fraud detection systems, and operational analytics. The company was founded in 2020 and develops frameworks and platform components related to digital risk management, identity evaluation, and transaction monitoring environments. SardineAI Corp maintains an online presence through the following social media channels:

LinkedIn: https://www.linkedin.com/company/sardineai/ 

X: https://x.com/sardine 

MEDIA DETAIL

Contact Person Name: Media Relation

Company Name: SardineAI Corp

Email: contact@sardine.ai

Website: https://www.sardine.ai/

WHY BLOCKLENDER’S NO LOCK-UP POLICY IS ONE OF ITS MOST IMPORTANT FEATURES

In the world of crypto yield products, lock-up periods are everywhere. Platforms that offer competitive rates often require users to commit their assets for days, weeks, or months before they can access their funds. For some users, that trade￾off is acceptable. For many XRP holders, it is not.

Blocklender, the XRP Ledger-native lending platform, takes a different approach. 

There are no lock-up periods on the platform. Lenders can deposit, earn, and withdraw at any time — with no penalty, no waiting period, and no conditions.

WHY LOCK-UP PERIODS EXIST — AND WHY BLOCKLENDER AVOIDS THEM

Lock-up periods in crypto lending typically serve one of two purposes. They either allow the platform to manage liquidity by ensuring deposits remain available to back outstanding loans, or they are used to justify offering higher advertised rates that would otherwise be unsustainable.

Blocklender’s model is built differently. Because every loan on the platform is backed by collateral that exceeds the loan value — locked on the XRP Ledger before any disbursement — the platform has structural liquidity protection that does not depend on restricting lender withdrawals. The collateral backing each loan provides the buffer that makes flexible withdrawal possible.

This means Blocklender can offer 12% APR with daily compounding without requiring lenders to give up access to their funds.

WHAT WITHDRAWAL FLEXIBILITY MEANS FOR XRP HOLDERS

For XRP holders who are actively watching the market, withdrawal flexibility is particularly valuable. If the XRP price moves significantly — in either direction — holders on Blocklender can act on that movement immediately. Their funds are not locked in a term deposit that prevents them from responding to market conditions.

This is one of the reasons Blocklender positions itself as a complement to holding XRP rather than a replacement for it. Lenders do not have to choose between earning yield and maintaining flexibility. Blocklender provides both.

DAILY COMPOUNDING WITH NO STRINGS

The combination of daily compounding and no lock-up periods is relatively rare in the crypto lending space. Blocklender offers both. Interest is calculated and added to lender balances every 24 hours. That balance — principal plus all accrued interest — is available for withdrawal at any time.

For XRP and RLUSD holders who want their assets to work for them without surrendering control, this combination is the core of what Blocklender offers.

Discover the full Blocklender platform at Blocklender.io or start earning at https://blocklender.io.

WHAT DAILY COMPOUNDING ACTUALLY MEANS FOR YOUR XRP — AND WHY IT MATTERS

Most people understand that earning interest is better than earning nothing. Fewer people fully appreciate what the word “daily” does to the math — and why the difference between annual compounding and daily compounding is more significant than it appears.

Blocklender, the XRP Ledger-native lending platform, offers 12% APR with daily compounding on XRP and RLUSD deposits. Here is what that actually means in practice.

THE MATH BEHIND DAILY COMPOUNDING

Annual percentage rate, or APR, describes the yearly interest rate on a deposit. At 12% APR with annual compounding, a deposit of 1,000 XRP would earn 120 XRP over the course of a year, ending at 1,120 XRP.

Daily compounding changes the calculation. Instead of applying the full year’s interest once at the end of the year, Blocklender applies a fraction of the annual rate every single day — and adds that interest to the principal. The next day’s interest is calculated on the new, slightly larger balance.

Over 365 days, this creates a compounding curve that results in a slightly higher effective yield than the stated APR suggests. But more importantly for long-term XRP holders, it means the accumulation of XRP begins immediately and accelerates continuously.

THE PRACTICAL IMPACT

Consider a deposit of 10,000 XRP. With 12% APR compounded daily, the daily interest rate is approximately 0.0329%. That is roughly 3.29 XRP on day one. On day two, the balance is 10,003.29 XRP, and the day’s interest is calculated on that new total. The effect is small on any given day but meaningful over time.

After 90 days, the balance has grown by approximately 3% — roughly 300 XRP — without any additional deposits. After a full year, the compounding effect has added meaningfully more than the simple 12% APR figure suggests.

For XRP holders who are already committed to holding their position, this is not a risk — it is a feature. The XRP accumulates daily, and every XRP earned today participates in the next day’s compounding.

WHY BLOCKLENDER USES DAILY COMPOUNDING

Daily compounding aligns with how Blocklender’s underlying lending model works. 

The platform lends depositor funds to borrowers on a continuous basis, with interest accruing to lenders every day. Rather than holding that interest separately and distributing it periodically, Blocklender credits it directly to lender balances daily.

This means lenders do not need to manually reinvest their earnings. The compounding happens automatically, within the same deposit balance, with no action required.

COMBINED WITH WITHDRAWAL FLEXIBILITY

Because Blocklender imposes no lock-up periods, lenders have access to their full balance — principal plus all compounded interest — at any time. This means daily compounding does not come at the cost of flexibility. Lenders can exit at any point and receive the full benefit of every day’s compounding up to that moment.

For XRP and RLUSD holders who want their assets to grow while they hold, daily compounding on Blocklender is the mechanism that makes that growth continuous and automatic.

Discover how daily compounding works in practice at Blocklender.io or visit https://blocklender.io to start earning today.

SardineAI Corp Announces Release of Transaction Monitoring Performance Framework for AML Operations

New York, United States – 14th April 2026 – SardineAI Corp announces the release of a transaction monitoring performance framework focused on performance-based evaluation within modern financial crime operations. The framework introduces a structured approach that shifts emphasis from alert generation volume toward measurable monitoring effectiveness, operational efficiency, and system transparency.

The release defines transaction monitoring performance as a function of detection quality, alert relevance, case resolution timelines, and audit readiness within aml environments. The framework outlines a model in which transaction monitoring performance AI is applied to evaluate monitoring outputs against operational benchmarks rather than relying solely on alert counts or rule triggers.

The framework documents changes in transaction monitoring design driven by increased transaction velocity, expanded digital payment activity, and interconnected risk signals across fraud, sanctions, and aml domains. The model reflects a transition from static rule execution toward adaptive evaluation supported by contextual data, behavioral signals, and entity-level analysis.

The framework specifies that traditional monitoring models based on threshold rules and isolated transaction reviews create operational strain under current conditions. High alert volumes, limited contextual data, and manual review dependency are identified as factors that reduce monitoring clarity and extend investigation cycles. The performance-based model introduces evaluation criteria that measure alert precision, analyst workload distribution, and consistency of case outcomes.

The release incorporates transaction monitoring performance AI as a component for continuous system assessment. The framework details how monitoring outputs are analyzed across detection accuracy, false positive distribution, and case escalation patterns. The approach integrates aml compliance automation to support structured case routing, alert prioritization, and documentation workflows aligned with regulatory review requirements.

The framework includes guidance on integrating real-time and batch monitoring processes within a unified performance model. Real-time monitoring is defined as a mechanism for evaluating transaction behavior at the point of activity, while batch monitoring is positioned as a structured review process for historical pattern analysis. The framework aligns both processes under shared performance metrics to ensure consistency across monitoring layers.

The release defines performance measurement categories that include alert generation logic, data readability, entity linkage visibility, and case management efficiency. Transaction monitoring performance AI is applied to assess relationships between transaction events, customer profiles, device identifiers, and historical activity patterns. The framework introduces entity-based evaluation as a method for understanding risk beyond individual transaction events.

The framework also documents operational impacts associated with low-performance monitoring systems, including extended analyst review time, inconsistent alert interpretation, and increased complexity in audit documentation. The performance model addresses these conditions through standardized workflows supported by aml compliance automation, enabling structured case development and traceable decision records.

SardineAI Corp confirms that the framework incorporates continuous monitoring practices for system evaluation. The model includes periodic assessment of rule effectiveness, behavioral signal accuracy, and workflow performance. The approach replaces static testing methods with ongoing performance measurement across production environments.

A representative of SardineAI Corp provided a statement regarding the release. Daniel Mercer, Chief Product Officer, stated, “The transaction monitoring performance framework establishes a structure for evaluating monitoring systems based on operational outcomes, data context, and workflow alignment. The model reflects current conditions in financial crime operations and introduces a method for measuring performance across detection, investigation, and governance processes.”

The framework is positioned as a reference model for organizations seeking to align monitoring infrastructure with evolving transaction environments. The release outlines a system design perspective in which monitoring performance is evaluated as an integrated function of technology, data, and operational processes.

About SardineAI Corp

SardineAI Corp is a technology company focused on financial crime monitoring systems and operational frameworks. The company was founded in 2020. SardineAI Corp develops infrastructure and analytical models designed to support transaction monitoring, risk evaluation, and compliance workflows.

LinkedIn: https://www.linkedin.com/company/sardineai/ 

X: https://x.com/sardine 

MEDIA DETAIL

Contact Person Name: Media Relation

Company Name: SardineAI Corp

Email: contact@sardine.ai

Website: https://www.sardine.ai/

SardineAI Corp Announces Strategic Positioning of Transaction Monitoring Performance AI Within AML Programs

New York, United States – 14th April 2026 – SardineAI Corp announces the formal positioning of transaction monitoring performance AI as a strategic component within anti-money laundering program design and oversight. The announcement reflects an internal framework that aligns transaction monitoring systems with executive-level review, operational workflows, and evolving regulatory expectations related to timeliness, explainability, and effectiveness.

The framework defines transaction monitoring performance as a function of data quality, alert precision, workflow design, and decision traceability across the monitoring lifecycle. The structure incorporates entity-level analysis, transaction context enrichment, and cross-signal evaluation to support a broader view of customer activity, payment behavior, and investigative outcomes. The framework also integrates transaction monitoring performance AI into existing monitoring environments to support prioritization, signal correlation, and adaptive control adjustments.

The announcement outlines a shift from transaction-level review toward entity-based and lifecycle-based monitoring structures. The framework connects onboarding data, historical activity, behavioral indicators, and transaction patterns within a unified monitoring approach. This structure is designed to support analysis across customer relationships, account clusters, and network-linked activity over time.

SardineAI Corp defines operational components within the framework that include alert generation logic, case routing protocols, investigation workflows, and documentation standards. The framework incorporates AML compliance automation across repetitive investigation steps, including data aggregation, alert enrichment, and case preparation. Automation layers are structured to support consistency in case handling, escalation procedures, and reporting outputs while maintaining traceable decision paths.

The framework also introduces provisions for monitoring performance evaluation, including rule testing processes, alert outcome tracking, and audit-ready documentation practices. These components are structured to support internal governance requirements, model validation processes, and regulatory review scenarios. Transaction monitoring performance AI is applied within these processes to analyze alert patterns, identify inefficiencies in rule behavior, and support iterative tuning of monitoring controls.

The announcement addresses system fragmentation across fraud detection, AML monitoring, sanctions screening, and investigation tooling by defining integration points for shared data inputs and coordinated workflows. The framework connects transaction data with entity attributes, device signals, and historical case information to provide a consolidated view for analysis and decision-making.

Daniel Reeves, Head of Financial Crime Systems at SardineAI Corp, stated, “Transaction monitoring performance AI represents a structural shift in how monitoring systems are evaluated and operated within AML programs. The framework reflects alignment between detection logic, operational workflows, and governance processes, with emphasis on data context, investigative usability, and lifecycle visibility.”

The framework includes both real-time and batch monitoring considerations, with defined criteria for when each approach is applied within transaction review processes. Real-time monitoring components are structured around immediate risk evaluation and intervention scenarios, while batch processes are aligned with periodic analysis, pattern detection, and retrospective review requirements.

SardineAI Corp indicates that the framework is intended to support ongoing development of monitoring systems through iterative testing, workflow adjustments, and integration of additional data sources. Transaction monitoring performance AI and AML compliance automation are incorporated as foundational elements within this structure, supporting alignment between detection capabilities and operational execution.

About SardineAI Corp

SardineAI Corp is a technology company focused on financial crime monitoring systems, transaction analysis, and risk infrastructure development. The company was founded in 2020 and develops solutions related to transaction monitoring performance, case management processes, and compliance operations within financial institutions.

LinkedIn: https://www.linkedin.com/company/sardineai/ 

X: https://x.com/sardine 

MEDIA DETAIL

Contact Person Name: Media Relation

Company Name: SardineAI Corp

Email: contact@sardine.ai

Website: https://www.sardine.ai/