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CryptoNote protocol-based e-cash system —MKEcoin (Monke Coin)

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The successful application of Bitcoin as the first point-to-point transmission electronic cash model. Compared with legal currency, Bitcoin does not have a centralized issuer, but is generated by the calculation of network nodes. Anyone can participate in the manufacture of Bitcoin, circulate around the world, buy and sell on any computer connected to the Internet.

The original Bitcoin was just a few thousand lines of code, and the value was not reflected, but because of its decentralization and encryption, it was essentially an anti-inflation currency, because of its decentralized “mining” incentive mechanism. Coupled with the inherent scarcity of Bitcoin and the 21 million Bitcoin output cap, many people and even institutions regard Bitcoin as hard currency. This means that internal monetary policy is driving the purchasing power of Bitcoin. On the other hand, Bitcoin’s biggest innovation is the application of blockchain technology, each block representing transactions in a Bitcoin network. The more blocks, the longer the trading time, thus forming a “chain “, although this” chain “has no actual commercial value, but because of the decentralization of value demand continues to increase, prices also rise with the water.

As technology advances, it’s not a problem to replicate any more Bitcoin networks, but so far no blockchain network has been able to match Bitcoin. A lot of facts have proved that blockchain networks in the digital economy, if separated from commercial applications, mean that bubbles are made purely. The strong have been established since ancient times, and only “killer apps” can shake Bitcoin’s position, although there are inevitable defects, but it will not affect its value at all, unless emerging technologies break the balance and make this decentralized environment no longer exist, But this is not impossible, plus Bitcoin in the transaction confirmation time is slow, poor value support and other hard injuries. There is no credit endorsement from any government or institution behind Bitcoin, which is prone to deflation with obvious market ups and downs. In terms of vision, it is already a bit contrary to the initial anti-inflationary heart, and it is difficult to realize commercial applications. The contribution to the development of digital economy is insignificant. Therefore, we think that in the development mechanism of digital economy, it is more effective to introduce a new application than to permanently repair the original application without a block chain network with commercial applications. MKEcoin (Monke Coin) is also born on this demand.

MKEcoin is a subchain technique based on Monero CryptoNote protocols. MKEcoin effectively inherits the privacy, decentralization and extensibility of the main chain Monero, and its powerful expansibility alleviates the storage pressure of the main chain. With its custom DPOS consensus mechanism, it meets the needs of more DAPP and other commercial applications in the future.

MKEcoin based on CryptoNote protocols, significant algorithm differences blur blockchain transactions, focusing on private and censored boycott transactions, transactions are confidential and untraceable to ensure user information security for each transaction. CryptoNote is an application layer protocol that supports a variety of decentralized, privacy-oriented digital currencies. Its goal is to become the evolution of ideas behind Bitcoin.

Different from Bitcoin, CryptoNote transactions can not display the way money is sent or received through block links. The approximate number of transactions can be known, but the sender, receiver and actual number can not be known. the only information available is that the actual quantity is lower than the quantity shown. the only person accessing the entire dataset about a transaction is the sender or receiver of the transaction and the person with one or two secret keys; another significant difference is the CryptoNote hash-based workload proof algorithm. Bitcoin is used SHA256, It is CPU binding function. this means that participants (miners) are only limited by their computational speed, and it is relatively cheap to create dedicated integrated circuit (ASIC) devices, which will have a hash per unit of currency over the normal computer. CryptoNote use memory binding functions CryptoNight, can not easily pipeline production.

MKEcoin sub-chain technology realizes the scalability of block chain system and provides a feasible solution to block chain fragmentation. MKEcoin subchain derived from the main chain platform with independent functions of the block chain. These subchains can not exist alone and must be run through the infrastructure provided by the main chain, so the subchain inherits all the attributes of the main chain.

A significant feature of MKEcoin subchains is the ability to define their own consensus approach and execution modules. Far from being limited to the different consensus modes of the main chain, the consensus mode of the sub-chain can be POW ,PBFT ,POS ,DPOS, even the consensus mode that different industries can define themselves. Of course, the user must define the consensus engine separately to implement the task under the custom consensus mechanism. There are several advantages to this :1. The function of the subchain is greatly enriched in a flexible way. The function of the sub-chain is not only limited to the scope of intelligent contract processing, but also increases the practicability. 2. can make full use of MKEcoin main chain to quickly deploy subchains with new functions without the need to maintain the nodes needed for a separate block chain and the cost of attracting new users to participate. 3. the difficulty of deploying subchains is greatly reduced, we only need to write subchain consensus and execution module.

MKEcoin unique custom consensus mechanism and execution module, according to the needs of the application scene, quickly form a consensus module to achieve its commercial value, and MKEcoin the block speed is independent, not limited by the public chain, Can customize block speed according to application requirements to meet transaction fluency and balance.

MKEcoin sub-chain technology can not only be used as a DAPP support platform to build complex application scenarios, but also can be deployed as a common service platform to provide specific services for other sub-chains or DAPP. MKEcoin realizes the cross-chain transaction with other block chains, and more broadly, realizes the communication between block chains and other networks, forming the interconnection of all things.

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Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series

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A bestselling voice in contemporary romance trades swoon for suspense in a chilling debut thriller where no one is telling the whole truth.

United States, 3rd Jun 2026 — Some secrets don’t stay buried. They grow roots. With that haunting promise, indie author Candace Nicole introduces Tangled Roots, the chilling first installment of her new psychological thriller series, The Root Series — now available to readers everywhere.

A bold departure into darker territory for the author known for “love, lies and everything in between,” Tangled Roots opens twelve years after Clark Delaine drowned at his lakehouse. The police ruled it an accident. They were wrong. When an anonymous letter surfaces, threatening to drag the truth into the light, five strangers who have spent more than a decade burying that truth find their carefully separated lives suddenly — and dangerously — colliding.

As the past claws its way back, dark secrets emerge about the man everyone believed they knew. And in a story where no one is telling the whole truth, the most devastating revelation is the one no reader will see coming.

“This book lives in the space between what people show the world and what they hide from it,” said Candace Nicole. “I wanted to write something that keeps readers up at night, second-guessing every character — including the ones they trust.”

Candace Nicole is a Central Virginia–based indie author whose work spans contemporary romance and psychological suspense. An avid reader since childhood, she writes with a mind full of characters demanding their stories be told, bringing equal parts heart and intensity to every page. Tangled Roots marks an ambitious new chapter — trading the swoon for the slow burn while keeping the emotional depth her readers have come to love.

For fans of unreliable narrators, simmering mystery, and twist-driven suspense, Tangled Roots is the kind of book best read with the doors locked.

Tangled Roots is available now, including signed copies, at www.cnbookseries.com. Readers can connect with Candace Nicole across all platforms at linktr.ee/cnbookseries.

MEDIA CONTACT

Author Candace Nicole

Cnbookseries

cnbookseries.media@gmail.com

Media Contact

Organization: Cnbookseries

Contact Person: Author Candace Nicole

Website: https://linktr.ee/cnbookseries

Email: Send Email

Country:United States

Release id:45653

The post Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series 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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Press Release

Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence

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Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.

Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.

The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.

Why Now

The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.

Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.

Inside the Platform

SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.

The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.

Capabilities

The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.

Beta Access and Early Users

SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.

Founder

SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.

About Nxapredict Analytics LLC

Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.

Media Contact

Daniel Sibanda

Founder, Nxapredict Analytics LLC

Email: daniel@signaliqintelligence.com

Website: https://signaliqintelligence.com 

Media Contact

Organization: Nxapredict Analytics LLC

Contact Person: Daniel Sibanda

Website: https://signaliqintelligence.com

Email: Send Email

Contact Number: +12673361270

Address:9318 Ditman Street

City: Philadelphia,PA

State: PA

Country:United States

Release id:45643

The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence 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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About Author

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

Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence

Published

on

Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.

Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.

The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.

Why Now

The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.

Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.

Inside the Platform

SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.

The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.

Capabilities

The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.

Beta Access and Early Users

SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.

Founder

SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.

About Nxapredict Analytics LLC

Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.

Media Contact

Daniel Sibanda

Founder, Nxapredict Analytics LLC

Email: daniel@signaliqintelligence.com

Website: https://signaliqintelligence.com 

Media Contact

Organization: Nxapredict Analytics LLC

Contact Person: Daniel Sibanda

Website: https://signaliqintelligence.com

Email: Send Email

Contact Number: +12673361270

Address:9318 Ditman Street

City: Philadelphia,PA

State: PA

Country:United States

Release id:45643

The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence 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

file

About Author

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

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