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ACI quantitative robot-The power of reading the trends

Published

5 years ago

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In 1962, Everett-Rogers proposed the theory of innovative diffusion, designed to explain how, why, and how quickly new ideas and technologies were spread. The theory explains how a product or technology gains momentum and spreads across a specific population over time. The end result is that people apply a product, technology, or idea. One of the key implications is that the application of a new technology in the population does not occur simultaneously. Instead, certain people and groups are more likely to apply technology at different times, consistent with specific psychological and social characteristics. There are five established applicationcategories for new ideas or products. These categories are defined below.

A The Innovator. “Innovators are adventurous and willing to take the risks. They fundamentally wanted to be the first person to try something new. Their goal is to explore new technologies or innovation and to find opportunities to be drivers of change. 」

B Early App. “Once the benefits of a new innovation start to become obvious, early apps are eager to try. Early apps bought new technology to achieve revolutionary breakthroughs that gave them a huge competitive advantage in their industry. They like to gain more advantages than their peers, and they seem to have the time and money to invest. 」

C Early majority. “The early majority of the mainstream usually focused on innovation in solving specific problems. They look for complete products that are fully tested, adhere to industry standards, and are used by others they know in the industry. They are looking for gradual, proven ways to do what they are already doing. 」

D Later majority. “The late most are risk aversion, applying only new innovations to avoid the embarrassment of being left behind. 」

E The Times. “The outdated people stick to the end. They valued traditional methods of doing things and refused to apply new technologies until they were eliminated by previous systems and forced to do it. 」

Bitcoin has captured the human imagination. Bitcoin’s story is perhaps more tempting than any previous high-tech innovation. It brings the most cutting-edge innovation to one of the foundations of mankind: currency. Given the possibility of revolutionizing such a fundamental concept, Bitcoin underwent several speculative cycles in its brief history. However, it would be a serious mistake to use these cycles as grounds for denying Bitcoin. These cycles are a well-understood psychological phenomenon caused by man’s fascination with new things. Moreover, any excessive emphasis on foam is to see the trees without the forest. Because, in just 12 years, Bitcoin has grown to 135 million users worldwide, with a faster application rate than the Internet, mobile phone, or virtual banking tools, namely PayPal, in the comparable period. At the current application rate, Bitcoin will reach 1 billion users in four years. Bitcoin, like all previous innovative technologies, is following a predictable and transparent application curve, although accelerating.

Such an incremental user base, the dividend period retained to us ordinary people about how long still?

Which track should we choose during the dividend period, and what can we can and do on this track?

These will be left for everyone to sink down to think;

For me personally, why I choose quantitative trading this derivative as a long-term development track, why I choose ACI quantitative robot, below I explain this question from two aspects.

First, the above mentioned Bitcoin development rate and user growth base, then for this market must be more and more user growth base, because this is the market of mankind, is Bitcoin’s original design concept —— decentralization, in the future, more and more people will enter the huge market derived from the digital currency such as bitcoin, Ethereum; the longer time period, one year, two years or five years, this cycle youcan grasp the number of your wealth appreciation (the biggest wealth);

Second, the first thing new users enter the market must face the secondary market, retained in the secondary market will learn currency speculation and trading, so what is the biggest difference between quantitative and labor? To enter the secondary market to do trading, the first is to learn mathematics, physics and chemistry, the second is anti-humanity, to face and accept the market of every market fluctuations, the third is to establish a set of their own trading system and resolutely implement. These three points seem simple, but need the hard conditions: 1, talent; 2, systematic learning and combat; 3,5 or even over 10 years of full-time experience; otherwise why there has been a saying: one profit, two draws, two losses and seven losses. Ask, if every user can make money in the digital money market, where does the money come from? And quantitative trading it is more suitable for ordinary players, it also has a scientific name called algorithm trading, it will replace artificial strategy, with mathematical models and scientific strategy, to achieve a certain conditions, but its profit is a stable long-term absolute value, rather than the short term of wealth; because each of us enter the digital currency secondary market, the original intention is to improve life, achieve wealth growth, increase the happiness index;

Third, why do you choose the ACI quantitative robot as a tool to fry the currency?

1. Select any product to make a comparison, especially the financial industry; here put forward a core: withdrawal rate is linked to risk, and the secondary market price of digital currency fluctuates greatly, a careless will be a large withdrawal, so we choose the product is not its return rate, but two products, product recovery rate is 100%, and 50%, product 20 year rate is 70%, and the withdrawal rate is 10%, the choice is only product 2;

2. Fund utilization rate, not just play finance, as long as you do business you will understand that the nature of business is not related to fund utilization, the greater your capital utilization proves that the more you can do, the more pipeline to profit; (those who play Martin strategy)

3. The concept reflected by the ACI quantitative robot is also consistent with the personal development ideal, It is free and continuously updated and optimized for life, Of course there is no free lunch, After all, everything takes costs, It charges a small transaction fee, To mark 99.99% of the various products on the current market, All exceptions are the lowest 20% profit withdrawals, Take an example here, If 10,000 u profit 1,000 u, Excluding withdrawal servants and exchange fees, Only over 700 u, came up with While the same ACI quantized robot profits 1,000 u, with 10,000 u Remove fees, Final hand 935-940u;

4. API technology interface of trading platform, do quantitative is a core is security and stability, as the three head compliance trading platform —— currency network, I think I don’t need me to introduce, whether from the user base, trading depth or technical security, is the best choice, after all, security and stability is not what we want;

Simply summary, quantification is actually statistics

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Alex Jacob

Alex Jacob is a literature author. He was born in Chicago. Alex passion is writing news articles. He writes number of articles and published it.

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Inside NEXTMonitor: How NEXTRouter Turns Sensing into Action

Published

2 hours ago

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June 2, 2026

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Shortly after NEXTBank launched NEXTMonitor, its global situational awareness system, we sat down with the product team to better understand what makes the system tick. This is a curated summary of that conversation – focusing on three core themes: why NEXTMonitor is more than an aggregator, how NEXTRouter powers its intelligence, and what the combined system means for enterprise users.

“Aggregation is table stakes. Correlation is the real value.”

The team started with a blunt observation. There is no shortage of news dashboards and financial screens. A treasury manager can already see headlines, prices, and charts. But seeing is not understanding. The missing piece is the connection between events.

“A port strike is not just a news item,” one product lead explained. “It affects shipping routes, commodity prices, and local currency stability. A human would need to open six different tabs and spend twenty minutes connecting the dots. NEXTMonitor does it in under a second.”

That ability – cross‑dimensional event correlation – relies on NEXTRouter’s graph neural network models. When a user looks at a breaking alert, the system automatically pulls in live camera feeds from the relevant location, real‑time exchange rate data, and historical risk patterns. It then visualises everything on a single map. The user does not search; the system presents.

The “Model Router” That Never Sleeps

The team repeatedly emphasised one point: NEXTMonitor itself is not an AI model. It is an application that calls models – and the calling is handled entirely by NEXTRouter.

NEXTRouter aggregates over 300 models, from general‑purpose large language models to specialised tools for time‑series forecasting, image recognition, and graph analysis. When NEXTMonitor needs to assess port congestion from a live camera, NEXTRouter picks the best image model for that task. When it needs to project 48‑hour exchange rate volatility, it picks a forecasting model. When a user asks BonBon (NEXTBank’s AI agent) a follow‑up question, NEXTRouter selects the most suitable dialogue model on the fly.

This architecture gives NEXTMonitor a powerful feature: automatic upgrades. As new, better models are released, NEXTRouter can swap them in seamlessly. The user sees no change except that the system becomes smarter. “We don’t tell our customers to update their software,” the team noted. “We just make NEXTMonitor better overnight.”

From Sensing to Action in Seconds

The most compelling part of the briefing was the walkthrough of a real‑world scenario. Imagine you are a logistics manager monitoring Southeast Asia. NEXTMonitor detects a sudden labour action at a major port. Instantly, the system shows the live camera feed (congestion visible), the local currency’s real‑time decline, and a risk projection: 72% chance of further disruption in the next 24 hours.

You then ask BonBon: “Should I reroute my shipments?” BonBon, powered by NEXTRouter, analyses your current shipping routes and suggests specific alternatives. If you agree, you can execute the change – and the related cross‑border payments – directly on NEXTBank’s payment network. The entire loop, from sensing to advice to action, takes seconds, not hours.

That seamless integration is not accidental. NEXTMonitor, BonBon, and NEXTBank’s payment rails are built on the same NEXTRouter backbone. The system also connects to NEXTShot, an AIGC platform that can automatically generate a briefing video or a one‑page report for your team. Whether you need to act, consult, or communicate, the tools are already there.

What Enterprises Should Know

The team highlighted three practical takeaways for potential enterprise users. First, NEXTMonitor is not a replacement for Bloomberg or Reuters – it is a layer above them, adding correlation and prediction. Second, the system is designed for non‑technical users. Natural language queries to BonBon mean you do not need to learn a new query language. Third, because NEXTRouter handles model selection, you never have to worry about which AI model is “best” for a given task – the system decides in real time.

Pricing and availability: NEXTMonitor is now available to NEXTBank enterprise and premium users. Additional features, including deeper predictive analytics and more camera integrations, are scheduled for the coming months.

The Bigger Picture

According to the team, NEXTMonitor and NEXTRouter are not standalone products – they are the first visible expressions of a much larger strategy. NEXTBank has publicly outlined three strategic pillars: AI Agent economy, computing finance, and intelligent payment. NEXTRouter serves as the computing gateway for all three. NEXTMonitor provides the real‑world sensing layer.

“In five years, we don’t want to be known as a payment company,” the team concluded. “We want to be known as the operating system for intelligent finance. NEXTMonitor is the screen you look at. NEXTRouter is the engine you never see. Together, they make money smart.”

For now, that vision is taking shape – one correlated event, one predicted risk, and one intelligent payment at a time.

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Press Release

Beyond Payments: How NEXTBank’s Dual‑Core “Sensing + Computing” Strategy Is Redefining Global Finance

Published

2 hours ago

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June 2, 2026

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For years, the crypto payment industry has competed on speed and cost. NEXTBank delivered on those fronts. But with the launch of NEXTMonitor, a real‑time global situational awareness system, the company is making a bolder statement: the future of finance is not just moving money, but moving money with intelligence.

At the heart of this shift are two symbiotic products: NEXTMonitor, the “sensory organ” that captures global events, and NEXTRouter, the “computing brain” that makes sense of them. Together, they form a dual‑core engine of sensing and computing – an architecture that could transform a payment network into a full‑stack financial operating system.

From Information Overload to Actionable Insight

The problem NEXTMonitor solves is simple. Decision‑makers have access to more information than ever, yet critical signals are buried under noise. A port strike in Asia, a currency swing in Latin America, a regulatory leak in Europe – by the time a manager connects the dots, the opportunity or loss has already passed.

NEXTMonitor tackles this by integrating 93 news sources, live market data, and 27 real‑world camera feeds onto a single dynamic map. But the real differentiator is not aggregation – it is correlation. Powered by NEXTRouter’s ability to call over 300 AI models (from OpenAI, Google, Anthropic, and others), NEXTMonitor automatically links a news event with a live camera view of a congested port, a real‑time exchange rate chart, and historical risk patterns. A user no longer has to ask “what does this mean?” – the system shows them.

The Unseen Engine: NEXTRouter as a Computing Hub

If NEXTMonitor is the face of NEXTBank’s new direction, NEXTRouter is its invisible foundation. NEXTRouter is an AI model gateway and orchestration layer that aggregates hundreds of large and specialised models. When NEXTMonitor needs to extract event locations, the router calls a natural‑language model. When it needs to predict 48‑hour exchange rate volatility, it calls a time‑series forecasting model. When a user asks BonBon (NEXTBank’s AI agent) a natural language question, NEXTRouter selects the best dialogue model on the fly.

This architecture gives NEXTBank a critical advantage: continuous evolution. As better models emerge, NEXTRouter can swap them in seamlessly. NEXTMonitor becomes smarter without a single line of code change. In an industry where AI capabilities double every few months, that is a strategic moat.

Completing the Loop: Sensing, Agent, and Action

What truly elevates the system is integration with NEXTBank’s broader ecosystem. A risk alert generated by NEXTMonitor can be sent instantly to BonBon, which provides mitigation advice – for example, “suggest delaying shipments to this port” or “consider locking in exchange rates.” If the user needs to share that analysis with a team or client, NEXTShot (NEXTBank’s AIGC platform) can automatically produce a briefing video or a one‑page report. The entire journey – from sensing to advice to output – runs on the same NEXTRouter backbone.

This closes a loop that traditional payment networks have never attempted. Users no longer toggle between Bloomberg, a risk dashboard, a chat tool, and a payment interface. They perceive, decide, and act on one platform. And when they act – for instance, making a cross‑border payment to avoid looming capital controls – that transaction rides on NEXTBank’s original payment rail. Sensing and payment, finally unified.

Why It Matters

For the crypto industry, NEXTBank’s move signals a maturation. The first wave of blockchain payments solved trust and settlement speed. The second wave is adding context – the ability to understand why a payment should be made, when, and in what currency. NEXTBank is building an “intent‑based” financial layer: the user expresses an intent (“I want to move funds safely given current risks”), and the system figures out the optimal execution path.

For enterprise treasuries and logistics firms, the value is clear. In a world of fragmented supply chains and volatile currencies, a real‑time intelligence layer directly connected to execution is not a luxury – it is a necessity. NEXTMonitor and NEXTRouter offer exactly that.

Looking Forward

NEXTBank has stated three strategic pillars: AI Agent economy, computing finance, and intelligent payment. NEXTRouter will serve as the computing gateway for billions of autonomous agents. It will also underpin the tokenisation and trading of computing power – a novel asset class. And with NEXTMonitor providing situational awareness, the vision of “intent‑as‑payment” comes closer to reality.

NEXTBank is no longer just a payment network. It is becoming the operating system for intelligent finance – where every dollar moved knows where it is going, why, and how to get there safely. That is a story worth watching.

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Press Release

SoftestLayer Announces Comfort-Focused Bra Collection Designed for Wireless Support and Everyday Wear

Published

7 hours ago

on

June 2, 2026

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The women’s bra brand highlights wireless construction, flexible fabrics, back-smoothing coverage, and everyday comfort across selected styles.

WEST PEORIA, IL , June 2, 2026 — SoftestLayer, a women’s bra brand focused on everyday comfort and supportive design, today announced the availability of its bra collection for adult women seeking a softer alternative to traditional bras. The collection brings together wireless support, gentle shaping, back-smoothing coverage, support-focused construction, and stretchy fabrics designed for daily wear.

“SoftestLayer was created for women who want everyday bras that feel softer, smoother, and easier to wear. The collection focuses on wireless construction, flexible fabrics, and practical support details for daily routines,” said a SoftestLayer spokesperson. 

Many women want more from an everyday bra than basic coverage. Traditional bras may provide shaping or lift, but they can also feel stiff, restrictive, or uncomfortable after hours of wear. Underwires may dig into the body, narrow straps can create shoulder pressure, and limited back coverage may leave visible lines under clothing. SoftestLayer was created to address these common concerns with bras designed to feel soft against the skin while offering wireless support, smoother coverage, and a flexible everyday fit.

SoftestLayer’s product range includes wireless shaping bras, posture-support bras, minimizer bras, and front-closure styles, giving customers multiple options based on their personal comfort needs, body shape, and wardrobe preferences. Across selected designs, the brand focuses on flexible construction, breathable materials, smooth finishes, and supportive details that help women feel more comfortable throughout the day.

One of the brand’s key design focuses is wire-free shaping. Selected SoftestLayer styles are made to help shape the bust without relying on traditional underwire pressure. The SoftestLayer Wireless Shaping Bra, for example, includes adjustable straps and a flexible fit intended to provide gentle lift while remaining lightweight for everyday wear.

Back and side smoothing are also central to the SoftestLayer collection. Rather than using stiff compression, selected designs use wider coverage areas, flexible bands, and smooth back structures to help create a cleaner silhouette under clothes. These design details are intended to reduce the appearance of visible lines around the back and sides and provide a smoother look under everyday clothing.

For women looking for additional structure, SoftestLayer also offers posture-supportive designs. The SoftestLayer Unlined Back Support Bra features a wire-free structure, front closure, wide straps, and back-support construction intended to encourage a more supported feel during everyday wear. The design is made to help distribute pressure more comfortably while offering smoother coverage across the back and underarm area.

Comfort remains the foundation of the brand’s positioning. SoftestLayer’s designs emphasize soft, stretchy, and breathable materials that move with the body rather than feeling rigid or restrictive. Selected styles use nylon-spandex blends described by the brand as breathable, soft, and lightweight for daily wear. This focus on stretch and softness is intended to make the bras suitable for long workdays, casual outings, travel, and relaxed home wear.

In addition to wireless shaping and posture support, SoftestLayer offers designs for different fit preferences. The Smooth Light Minimizer Bra is designed for women seeking a more balanced bust appearance and a smoother look under clothing. The Cotton Front-Closure Bra is created for women who prefer easier wear, front-fastening convenience, and everyday support. Together, these options provide customers with multiple style choices based on lift, smoothing, coverage, closure type, and comfort preferences.

SoftestLayer bras are available through the brand’s official website, where customers can explore different bra styles based on their preferred support needs, including wireless shaping, posture support, minimizer coverage, front-closure convenience, and back-smoothing designs. Product pages provide detailed information such as available color and size selections, sizing charts, product features, fabric and fit descriptions, and checkout options. 

According to the website, shipping costs are calculated based on the destination and number of items purchased, while selected product pages note an estimated 9–14 business day shipping window after order processing. Customers can also contact SoftestLayer through the support email and phone number listed on the website, with the contact page stating a response time of 24–48 hours Monday through Friday.

With its focus on wireless construction, flexible fabrics, back-smoothing coverage, and everyday wearability, SoftestLayer aims to offer bra options for women seeking comfort-focused support.

About SoftestLayer

SoftestLayer is a women’s bra brand focused on soft, supportive, and wearable bras for everyday life. The brand offers a variety of designs, including wireless shaping bras, posture-support bras, minimizer bras, and front-closure styles. SoftestLayer emphasizes comfort-focused construction, flexible fabrics, wireless support, back-smoothing coverage, and wearable designs for everyday use.

For more information, visit: https://softestlayer.com/

 

Media Contact

Organization: SoftestLayer Clothing Co.

Contact Person: Emily Carter

Website: https://softestlayer.com/

Email:
support@softestlayer.com

Address:Heading Ave, West Peoria, IL 61604, United States

City: Illinois

State: IL

Country:United States

Release id:45633

The post SoftestLayer Announces Comfort-Focused Bra Collection Designed for Wireless Support and Everyday Wear appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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