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Free World: Ceaseless exploration in decentralized field

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Initiated by the Uniall Foundation and founded by Decentralized Autonomous Organization (DAO), Free World is a free ecology focusing on full-financial application of DeFi. Ecology aims to build a free, shared, safe and highly encrypted DeFi digital economy with open value for the global users. Completely different ecological solution from the previous centralized platform is provided for users through the rigorous design of top-level business logic.

Decentralized Autonomous Organization (DAO)

Full-financial ecology of DeFi can’t do without the governance of DAO. As a decentralized autonomous organization, DAO keeps running through smart contract, codes transaction and rules on blockchain, and has various unique advantages to achieve the openness and fairness, unmanned intervention and autonomous operation. But it lacks the legal entity.

Uniall Foundation will ensure the release and development of Free World ecology till the establishment of the Free World community which is enough for completely decentralized self-maintenance. Free World ecology adopts the double token mechanism for DAO governance, namely the stablecoin FD and EcoCoin BSK. The token will be used to act as the value storage carrier, and can capture and solidify the increasing value of protocol network.

Decentralized ecological management system

As a decentralized ecology, management structure of the Free World is supported by completely transparent decentralized autonomous system. Such structure lets every holder of Free World understand all technology constructions and value circulations in ecological basis, and fully embodies the public trust value of blockchain. All decisions in the Free World are based on the public voting decision of the token holder, and all technology updates are announced by the community. Such completely decentralized management system will entirely avoid the disadvantages of traditional institutes in centralized management. Good solution without trust risk is provided for the following issues: dictatorship of centralized management layer, tampering of data, and alone decision of group trend, etc.

In order to guarantee the fairness of Free World value and the smooth circulation and to prevent the panel control by great users and the black box operation in the history of blockchain, Free World not only conducts the decentralized autonomous management fundamentally with the support of the above-mentioned technical features, but also employs financial audits, analysts, investors, etc. from many global core financial institutions who join the financial regulatory council and provide professional supervision and guidance from the perspective of finance.

Ceaseless exploration of Free World: three-year strategic planning

March 2020: Uniall Foundation was approved, and distributed financial platform of Free World blockchain was born.

May 2020: The development of Free World public blockchain /Free World DApp was approved, and the global developers jointly broke through problems.

August 2020: Autonomous Alliance Organization of Free World DAO Global Community was established and reached the vision consensus.

December 2020: Free World whitepaper was published, and the Foundation was confirmed.

May 2021: Free World launches DEX

June 2021: Free World platform will start the DeFi liquidity mining.

August 2021: Free World ecology will start

October 2021: DeFi service will be provided and the global finance will be arranged

December 2021: Free World assets can be smoothly launched

March 2022: NFT’s transaction function will be opened

May 2022: Free World will be opened in the world, and the Financial Commission will be established

June 2022: BSK will launch hundred Exchanges

December 2022: Free World will integrate into over 200 financial products

March 2023: 30 unicorn companies with ten billion value will be incubated

June 2023: Uniall Group will be established to build the ETF with the shared community interest.

… …

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Press Release

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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