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Synbit uses synthetic assets to build a more comprehensive income market and volatility structure to boost the development of DeFi

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With the momentum of liquidity mining getting stronger and stronger, DeFi is transforming traditional financial products into protocols at a hundred times faster. Decentralized trading platforms, stablecoins, decentralized lending and borrowing platforms, synthetic assets, and insurance products will all be decentralized, trustless and transparent in the decentralized network protocols. We believe that compared with traditional finance, DeFi has a more ambitious vision, that is to allow anyone to publicly own or trade any financial assets anywhere in the world.

Because DeFi lacks some basic products and services, it is still incomplete in the construction of a “decentralized financial market (DeFi market)” and needs the support of structured financial tools.

We find that in the traditional financial market, a large number of monetary asset collaterals, including short-term debt collaterals, long-term debt collaterals based on sovereign credit, and quasi-currency created based on repurchase or asset securitization, constitute large-scale financial derivative instruments and form a systematic financial market, playing an important role in risk management, asset pricing, and improving market liquidity. DeFi also requires durable and stable assets and liquidity. Currently, the basic assets supporting liquidity mining can be roughly divided into three categories: Transaction fees, income from loan interest rate spreads, and guaranteed governance tokens. When basic asset income (or “productivity”) is insufficient to sustain the credit boom, a risk similar to the traditional “financial crisis” will appear.

Synbit is committed to building a more comprehensive income market and volatility structure. In the mapping process of traditional financial market products, it has broken through the construction of comprehensive decentralized financial derivatives, laying a rich and solid asset foundation for the development of the DeFi industry. In the setting of collaterals, Synbit supports multiple pledge methods, such as ETH, stablecoins, and SYN. The mortgage rate of each asset is calculated through modeling based on the stability of its price. In the future, the calculation model and its mortgage rate can be adjusted through the community governance mechanism. Users can mortgage the synthetic assets issued or directly exchange with other types of synthetic assets by purchasing synthetic assets. Synbit’s excess mortgage mechanism and unique liquidation mechanism ensure the safety of all debts. The collaterals can perfectly cover the debts, which means that the systemic risks mentioned above are unlikely to occur in Synbit. In order to attract users to participate in the Synbit ecosystem and ensure the smooth launch and sustainable development of the Synbit platform, the platform has formulated targeted incentive plans for ecological participants such as mortgagers, traders, and coin holders. In addition, Synbit adopts a unique debt pool model, traders do not need counterparties when trading, which effectively solves the liquidity and slippage problems faced by DEX (decentralized exchange). The multi-pledge, multi-form, and multi-reward setting can provide liquidity for Synbit’s continuous transfer of assets.

Of course, Synbit is more than that. We hope to fully map the traditional financial market and build a complete “decentralized financial market (DeFi market)”. From swaps to futures and options, interest rates, stocks, foreign exchange, commodities and other asset products are widely used on the chain to meet the needs of position risk balance, liquidity, hedging, leverage, and other investment portfolio and liquidity managements, create long-term value, and exploit the huge potential of the decentralized derivatives market. It will be the most promising part, the core of the entire DeFi ecosystem, and the most difficult part to accomplish and overcome in the DeFi industry.

We have overcome some of the problems-breaking the isolation of the DeFi protocol, and creating a financial product with rich risk-return characteristics – Synbit by making full use of the composability of DeFi. We will continue to explore the depth and breadth of products, redefine the nature of asset management, and meet the needs of professional investment consulting and services. Achieve our grand vision, which is to “combine everything and cross the financial boundary”.

Synbit will release a beta version on the Ethereum Kovan network on December 11. Synbit is a decentralized synthetic asset issuance protocol based on Ethereum smart contracts, allowing users to mint assets and trade financial derivatives in a decentralized manner. Every user who participates in the test and provides feedback will get a certain token incentive. Welcome to join the Synbit community to participate in the test. Specific test-related contents and test incentives will be released on the official Twitter and Discord channel later.

Synbit’s official website:https://www.synbit.io

Twitter:https://twitter.com/SynbitProtocol

Telegram:https://t.me/Synbit

Discord:https://discord.gg/MycR8DK

Looking forward to entering a new world of synthetic assets together with you.

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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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