Press Release
“Algorithm + Credit” Rebuild the Value Foundation of DeFi

DeFi still has higher attention, with rapid technological innovation and continuous expansion of application scope, The goal of DeFi is undoubtedly to build a more effective, free, and transparent financial ecology. However, finance always develops with money and brings value exchange. Therefore, whether it is a decentralized scenario or a mass application toward reality in the future, stable cryptocurrency is crucial for users, so as to realize the dream of making virtual ideas become reality.
For this reason, in the field of cryptocurrency, many teams have been exploring stable currency. According to CryptoQuant data, stabilecoin holdings on global crypto exchanges hit a high record of $9.8 billion as of March 28, 2021. At the same time, the total stable currency market capitalization once topped $80 billion, according to CoinGecko, the current daily trading volume of all stable currencies is about $118.340 billion. Also, CoinMarketCap shows there are 16 mainstream stable currencies now.
The stable currency is illusory?
In general, both USDT and DAI are still on their way and haven’t really achieved the goal of “stable currency”. Tether’s White Paper said: “Tether is a decentralized cryptocurrency, but we are not a perfectly decentralized company. We store all of our assets as a centralized pledge.” Therefore, USDT is just borrowing the name of the cryptocurrency, but it is not really decentralized.
DAI, developed by MakerDao, is the largest decentralized stable currency on Ethereum. It is issued with the guarantee of the full amount of assets on the blockchain. It is only generated in the application scenario based on the mortgage, and the market value of the mortgage assets is the ceiling of it. Therefore, these stable currencies are illusory in a sense.
Will algorithmic stable currencies finally fail?
Now let’s take a look at the development process of algorithmic stable currencies, known as the holy grail of cryptocurrency. From stable currency1.0 represented by AMPL, stable currency2.0 represented by Basis Cash to stable currency 3.0: Frax Finance, all of them have gone through a period of growth. However, the stable currency reality is that we live under the sense of “ever-changing”, and stable value is still in the ideal.
AMPL algorithmic stable currency is used to increase or decrease the supply of AMPL in order to keep the price of AMPL around $ 1. Ampleforth uses Rebase operation to change the AMPL held by all users as a whole. The Rebase price is based on the average price of the past 24 hours. When this price is above $1.05, the AMPL balance in all users’ wallets increases simultaneously. At prices below $0.95, all users’ AMPL balances decrease simultaneously. During this process, the percentage of AMPL held by users in the supply does not change. It looks like everything is fine on its own, but when the price of cryptos falls to the point where deflation is needed, both the quantity and price of coins held by users are falling, so users face a double whammy.
So it’s easy to create a death spiral. Similarly, when crypto price rises, it is easy to create an upward death spiral. Thus it can be seen that this price model only has two possibilities: the price continues to fall, get into the infinite death circle and leave the market, and the price rises steadily to around 1USDT; Prices rising, the AMPL has been printing (dividend), AMPL reserve disappeared, crypto began to value return, people in loss cannot gain AMPL, prices will fall back near 1 USDT (need funds continue getting into the market), so it is difficult to see AMPL achieve speculation, meanwhile achieve stability, And stability is a necessary condition for a stable currency.
Basis Cash, as represented by 2.0, includes three tokens, Basis Cash (BAC), Basis Share (BAS), and Basis Bond (BAB), among which BAB is non-transferable. The BAC is the stable currency, anchored to $1; BAS is an equity token, and newly-minted BAC tokens can be allocated. BAB is a bond. There is nothing wrong with Basis Cash based on the algorithm itself, but without a good application scenario, relying on the debt market itself is dangerous. There is actually a problem with debt financing in traditional markets, where those “too big to fail” entities can take on the risk of impunity through socialized bailout costs. It is entirely possible that Basis Cash could go into a debt spiral, in which case there would be no willing contributors, the debt would accumulate and the protocol would collapse.
Finance FX is the first partial algorithmic stable currency project, adding the concept of using “partially stable” as a collateral asset to the existing algorithmic stable currency. There are two types of tokens in Frax, the stabilization token Frax, and the governance token FXS. Frax costs USDC and FXS, but only USDC during creation. The initial mortgage rate is 100%, that is, all USDC mortgage is used to cast FRAX. After that, the mortgage rate will be adjusted every hour. If the price of FRAX is more than $1, the mortgage rate will be reduced and FXS ‘share in it will be increased. Raise the mortgage rate if the Frax falls below $1. The mortgage rate is adjusted every hour by 0.25% each time. But its high mortgage ratio leads to the lack of user appeal, its currency numbers and market supply have been stagnant.
Although the above three generations of stable currencies seem to be making breakthroughs and innovations, they do not give a satisfactory answer on how to solve the credit problem. However, algorithm stable currency that cannot solve the credit problem is useless. Bitcoin came into being to solve the problem of credit, but the stable currency, as an important extension of its development, has not inherited the legacy of credit, and is still stuck in the algorithm.

Crypto Credit Network (CCN)
In the financial field, credit is the foundation and the lifeblood. This is true of both traditional and modern financial systems. In the traditional financial system, credit mainly relies on the guarantee of laws and institutions. Apart from the high operation cost, the “credit crisis” gradually exposed by financial intermediaries is the fundamental reason why people urgently embrace the blockchain technology. Algorithm stable currency is going to help cryptos solve the credit problems, guaranteeing machine credit by algorithm, which does not rely on third-party subjective will and makes transaction transparent, efficient, reliable, and stable, let people who do not have to establish credit relationship between each other to achieve cooperation and free trading, reduce the cost of credit.

However, the world of blockchain cryptocurrency is a chaotic existence without a role name. To change from chaos to brightness, each individual needs to have his or her own identity, so that we can obtain the faith like phoenix nirvana. The CCN gives each individual a unique CID (Crypto Identification), which is the most basic rule in the Crypto world. To build a new crypto world of order, autonomy, and equality.
The construction of CCN not only takes blockchain technology as support, but also has a reasonable economic incentive mechanism. Reasonable use of incentive mechanism is an effective means to stimulate all parties to participate in the construction of CCN.
A sound incentive mechanism, reasonable mechanism design from the perspective of leading efficiency and fair governance, can make the value generated by credit information flow effectively to the value provider in the blockchain world, punish the evil behavior, and resolve the conflict between individual interests and collective interests. It makes the individual’s behavior of pursuing individual interests unified with the goal of maximizing collective value.
Therefore, CCN can further clarify the economic interests of each participant and the overall interests of the network, so as to fully mobilize the enthusiasm of each participant and guarantee great development of CCN from the source.
The CCN consists of three different identities: Creator, Guardian, and Angel, all of them have established screening mechanisms. Only firm believers can obtain the CCN identity. Early believers are required to contribute to maintaining the stability of early CCN by burning GAC tokens. Therefore, they are not only holders of GaeaCoin, but also determined preachers and builders. When GaeaCoin issues additional shares, it will also receive a corresponding percentage of GAC tokens as a reward.
The establishment of this system aims to provide every GaeaCoin participant with the opportunity to contribute to the community construction, and to create a healthy crypto community culture of dedication and autonomy through consensus, symbiosis, co-construction, and sharing.
In CCN, although the identity is different, the residents on the chain of CCN build the initial transaction link according to their CID address, and constantly expand CCN on the chain. Open CID needs to be recommended by the network resident, once the link is formed, it cannot be changed forever. Each of the three different identities requires a different number of GAC tokens to burn, which can be viewed on the GaeaCoin network. GaeaCoin network residents have different rights according to their status.
The integration with the DEX: OxySwap has pioneered a full range of applications
There is a natural interdependence between exchange and stable currency. The exchange has always been an important part of crypto digital asset market, and it is also the first application place of stable currency. Like Binance with BUSD and Huobi with HUSD, OKEx also launched USDK on June 3, 2019. Traditional CEXs are fiat currencies, where fiat currencies are exchanged for cryptos. If you want to buy crypto digital assets, you need to top up fiat currency, which undoubtedly increases the economic and time costs of investors in the process of exchange. The emergence of a stable currency can not only solve the above problems but also effectively avoid legal risks in the process of the transaction.
As it should be, the integration of GaeaCoin ecology and OxySwap not only lay a solid foundation for stable currency: GAC token application, but also creates opportunities for it to open up more and wider application scenarios.
OxySwap is a decentralized exchange running on the BSC with a collection of DEX liquidity mining, which offers functions of exchange, liquidity, market making, and so on. The strength of OxySwap guarantees the usages of the stable currency: GAC.
GAC will lead a brighter way
GaeaCoin algorithm stable currency: GAC dares to face the challenge, according to the industry news, GAC praises is not only relatively stable from the concept, but also to really put into application. In addition to GAC (GaeaCoin), GaeaCoin ecology also includes GAB (GaeaCoin Bond) and GASH (GaeaCoin Share), which serve to maintain the stability of GAC. GaeaCoin Ecology also integrates GaeaCoin protocol, algorithm, robustness, price response, encryption, and other technologies, superposed with the DeFi ecology of Crypto Credit Network (CCN), OxySwap (DEX), and so on, providing a realistic solution for GAC, and leads it to move towards the real “stability”.
The integration of CCN and OxySwap points out the direction for the application of algorithmic stable currency. In fact, we can already feel the power of the GaeaCoin algorithm stable currency, and once it is used at a large scale, the ideal stable currency is expected to arrive ahead of time. DeFi will also build on this basis, using currency, lending, spot trading, and other components to build continuously upgraded Lego of DeFi.
GaeaCoin’s move directly challenges the world’s centralized stable currency giants such as USDT and USDC, but compared to the previous challenges of AMPL, BAC, and FRAX, this well-prepared challenge looks more anticipated!
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.
Press Release
Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series
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
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.
Press Release
Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence
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
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.
Press Release
Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence
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
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.
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