Connect with us

Press Release

ACI quantitative robot-The power of reading the trends

Published

5 years ago

on

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 “The outdated people stick to the end.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

About Author

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.

See author's posts

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.

Related Topics:
Continue Reading

Press Release

Adam Weitsman Backs Unserious in their Acquisition of Creepz and Psychrome homecoming

Published

3 hours ago

on

July 22, 2026

By

Miami, United States, July 22nd, 2026, Chainwire

Unserious today announced the acquisition of Creepz, one of the most recognizable NFT collections of the 2021-22 cycle. Backed by entrepreneur and investor Adam Weitsman, and with the support of the original founders, the deal places the lizard cult brand under a powerhouse new team.

Most importantly, the acquisition marks a homecoming for Psychrome – the original mastermind and creative genius behind the Creepz lore. Returning to lead IP development, he also brings a resume as a globally exhibited artist whose commercial collaborations span Nike, Salomon, Sneaker Con, Staple, Disney, Warner Bros., and Rovio.

Beyond this foundational creative leadership, the Unserious team brings deep operating experience with a track record spanning consumer brands, entertainment, and enterprise tech, alongside crypto’s largest token launches – including the historic ApeCoin.

Unserious also took the opportunity to formally deny the existence of lizard people, their alleged evil activities, and any plans for $CREEPZ world domination.

About Unserious

Unserious is reimagining the future of decentralized brands.

Contact

Acquirer
Unserious
Unserious
contact@unserious.inc

About Author

Cloud PR Wire

See author's posts

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.

Continue Reading

Press Release

Mandela Digital Announces $5 Million Investment From Datavault AI

Published

4 hours ago

on

July 22, 2026

By

Laramie, Wyoming, July 22nd, 2026, FinanceWire

Mandela Digital today announced a $5 million investment from Datavault AI and the launch of its official digital website at www.mandela.digital.

Datavault AI Commits $5 Million and Technology Platform to Support Mandela Dollar

Datavault AI Inc. has committed and begun deploying $5 million in funding to Mandela Digital. The investment will accelerate the development and launch of the Mandela Dollar (MUSD), a 1:1 USD-backed stablecoin designed to promote financial inclusion, remittances, and digital payments across the Global South and beyond.

Mandela Digital combines institutional-grade financial infrastructure with the moral authority of the Mandela name to address the needs of the billions of people globally who remain unbanked or underbanked.

Under the agreement, Datavault AI’s investment will support stablecoin infrastructure, regulatory compliance, exchange integrations, liquidity, and go-to-market initiatives. As the primary technology partner, Datavault AI will also provide its patented AI platforms, blockchain tokenization expertise, SanQtum quantum-resilient encryption, and real-world asset (RWA) frameworks to power MUSD’s issuance, redemption, compliance, and on-chain transparency.

Key Highlights

  • $5 million investment by Datavault AI Inc. (NASDAQ: DVLT) into Mandela Digital.
  • Full deployment of Datavault AI’s technology stack, including AI-driven platforms, tokenization patents, quantum-secure encryption, and RWA infrastructure.
  • Launch of the Application Stage of the Early Access Programme, which will remain open for a symbolic 67-day window starting on Nelson Mandela International Day 2026, honoring the 67 years Nelson Mandela spent fighting for human rights, equality and social justice. 
  • Official website www.mandela.digital now live as the central global hub for the initiative.

Mandela Digital Launches Official Digital Home

www.mandela.digital

The new website at www.mandela.digital serves as the venture’s primary global hub, offering stakeholders transparent information, official updates, and resources. It follows the recent opening of applications for the Mandela Dollar Early Access Programme on Nelson Mandela International Day.

Key sections of the website will be updated periodically to include details on the MUSD framework, reserves and audits, governance, the Early Access Programme for financial institutions and intergovernmental organizations, partnership information, and educational resources aligned with Nelson Mandela’s values of economic empowerment.

Quotes

Mustaq Patel, Chairman, Mandela Digital: “I conceived the Mandela Dollar to solve what the industry has long failed to deliver: a stablecoin that combines institutional architecture with genuine moral authority. Technology without trust is a commodity; trust without infrastructure is insufficient. Datavault AI’s $5 million investment and full technology deployment under a signed legal agreement mark the transition from vision to construction. www.mandela.digital represents our commitment to transparency and accessibility as we build serious financial infrastructure for the Global South and beyond.”

Zaziwe Dlamini-Manaway, Director, Mandela Digital “My grandfather measured progress by its impact on people’s daily lives — whether families could thrive, young people could build futures, and workers could preserve the value of their labor. Mandela Digital, brought to us by Mustaq Patel and now supported by Datavault AI’s capital and technology under formal agreement, carries that vision forward with clarity and seriousness of purpose. The Mandela name stands for what endures, and we are confident this initiative is built to last.”

About Mandela Digital

Mandela Digital is the U.S.-headquartered Joint Venture developing the Mandela Dollar (MUSD), a 1:1 USD-backed stablecoin engineered to institutional standards. The initiative aims to expand reliable U.S. Dollar-denominated financial access across Africa, Southeast Asia, Latin America, and beyond.

Caution Regarding Unauthorized Tokens

The Mandela Dollar (MUSD) is currently in development and not yet live on any blockchain or exchange. Mandela Digital has not authorized any token sale, pre-sale, ICO, IEO, or similar offering. The public is advised to exercise extreme caution against any unauthorized tokens, websites, or individuals claiming to represent MUSD or Mandela Digital. Suspected fraudulent activity should be reported to legal@mandela.digital. All verified information is available exclusively at www.mandela.digital.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of U.S. federal securities laws. These statements are based on current expectations and are subject to risks and uncertainties, including regulatory developments, technology timelines, market conditions, and other factors that may cause actual results to differ materially. Neither Datavault AI nor Mandela Digital undertakes any obligation to update forward-looking statements except as required by law.

Nothing in this release constitutes an offer to sell or solicitation to buy any security or digital asset.

Contact

Chairman
Mustaq Patel
Mandela Digital
PR@mandela.digital

About Author

Cloud PR Wire

See author's posts

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.

Continue Reading

Press Release

Former Marine Engineer Turned Supply Chain Executive Releases “From Engines to Algorithms,” Charting a New Framework for Operational Constraints

Published

5 hours ago

on

July 22, 2026

By

Los Angeles, California, 22nd July 2026 — Niraj Jha, Senior Director of Logistics at Niagara Bottling LLC, the largest privately held beverage company in the United States, has released From Engines to Algorithms, a book drawing on his uncommon path from licensed marine engineer to supply chain leader to explain why technology does not make operational bottlenecks disappear, they just relocate them.

Jha spent four years at sea as a marine engineer before moving into logistics and manufacturing operations, a transition that forms the spine of the book. The title itself signals the arc: from the mechanical world of ship engines, where a single failed component can strand a vessel, to the algorithmic systems now running modern supply chains, where the failure points are just as real but far less visible.

At the center of the book is Jha’s “Law of Constraint Migration,” a framework he has developed over years of running manufacturing and logistics operations across dozens of plants and thousands of weekly truckloads. The core argument: every time an organization fixes its most visible bottleneck with technology , the constraint does not vanish, it migrates to the next weakest point in the system. Leaders who treat constraint-fixing as a one-time project, rather than a permanent discipline, end up chasing the same problem in a different disguise year after year.

“Systemic failure does not happen because of one big catastrophic event,” Jha said. “It starts with leaders having a static approach to problem solving , where this fix one constraint using technology and then move on without understanding where the constraint has moved.”

That principle was shaped in part by direct experience. Jha’s early engineering career included firsthand exposure to the operational and mechanical failure chains that can escalate quietly before becoming visible incidents, lessons he has carried directly into how he now evaluates risk in logistics networks spanning multiple plants, carriers, and third-party providers.

Since moving into supply chain leadership, Jha has held roles from plant director to his current position overseeing logistics strategy across a multi-state region, and is now deeply involved in Niagara Bottling’s AI strategy for manufacturing and supply chain operations. He holds several patents in manufacturing and supply chain technology, including three granted US patents around direct to store shipments, and has deployed AI-driven systems for automated palletizing, dynamic shipping, and operational incident handling.

From Engines to Algorithms is written for operators, not theorists. Jha’s stated approach throughout is practitioner credibility over metaphor: fewer abstractions, more direct account of what breaks in real operations and why. The book avoids the hedge-everything tone common in management literature in favor of decision-oriented conclusions.

Jha is a member of CSCMP’s Executive Inner Circle, an invitation-only group of senior supply chain executives, as well as the member of the World Economic Forum  and the Fast Company Executive Board. He has been featured as a keynote speaker in multiple industry forums and his writing has appeared in Beverage digest, supply chain management review, SupplyChainBrain, Fast Company, and other trade publications, and he continues to publish ongoing analysis on constraint migration, AI economics, and supply chain strategy through his Substack and LinkedIn.

From Engines to Algorithms is available now. Readers can learn more and find purchasing details at enginestoalgorithms.com.

About the Author

Niraj Jha is Senior Director of Logistics at Niagara Bottling LLC, where he is deeply involved in the company’s AI strategy for manufacturing and supply chain operations. A licensed marine engineer by training, he spent four years in deep-sea service before transitioning into supply chain and operations leadership, where he has spent sixteen years in various leadership roles. He holds several patents in manufacturing and supply chain technology and developed and conceptualized the Law of Constraint Migration.

Media Contact Visit enginestoalgorithms.com for more information.

About Author

Cloud PR Wire

See author's posts

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.

Continue Reading

LATEST POST

Like Us
Follow Us
Subscribe Us
Follow Us