Press Release
ACI quantitative robot-The power of reading the trends
In 1962, Everett-Rogers proposed the theory of innovative diffusion, designed to explain how, why, and how quickly new ideas and technologies were spread. The theory explains how a product or technology gains momentum and spreads across a specific population over time. The end result is that people apply a product, technology, or idea. One of the key implications is that the application of a new technology in the population does not occur simultaneously. Instead, certain people and groups are more likely to apply technology at different times, consistent with specific psychological and social characteristics. There are five established applicationcategories for new ideas or products. These categories are defined below.
A The Innovator. “Innovators are adventurous and willing to take the risks. They fundamentally wanted to be the first person to try something new. Their goal is to explore new technologies or innovation and to find opportunities to be drivers of change. 」
B Early App. “Once the benefits of a new innovation start to become obvious, early apps are eager to try. Early apps bought new technology to achieve revolutionary breakthroughs that gave them a huge competitive advantage in their industry. They like to gain more advantages than their peers, and they seem to have the time and money to invest. 」
C Early majority. “The early majority of the mainstream usually focused on innovation in solving specific problems. They look for complete products that are fully tested, adhere to industry standards, and are used by others they know in the industry. They are looking for gradual, proven ways to do what they are already doing. 」
D Later majority. “The late most are risk aversion, applying only new innovations to avoid the embarrassment of being left behind. 」
E The Times. “The outdated people stick to the end. They valued traditional methods of doing things and refused to apply new technologies until they were eliminated by previous systems and forced to do it. 」
Bitcoin has captured the human imagination. Bitcoin’s story is perhaps more tempting than any previous high-tech innovation. It brings the most cutting-edge innovation to one of the foundations of mankind: currency. Given the possibility of revolutionizing such a fundamental concept, Bitcoin underwent several speculative cycles in its brief history. However, it would be a serious mistake to use these cycles as grounds for denying Bitcoin. These cycles are a well-understood psychological phenomenon caused by man’s fascination with new things. Moreover, any excessive emphasis on foam is to see the trees without the forest. Because, in just 12 years, Bitcoin has grown to 135 million users worldwide, with a faster application rate than the Internet, mobile phone, or virtual banking tools, namely PayPal, in the comparable period. At the current application rate, Bitcoin will reach 1 billion users in four years. Bitcoin, like all previous innovative technologies, is following a predictable and transparent application curve, although accelerating.

Such an incremental user base, the dividend period retained to us ordinary people about how long still?
Which track should we choose during the dividend period, and what can we can and do on this track?
These will be left for everyone to sink down to think;
For me personally, why I choose quantitative trading this derivative as a long-term development track, why I choose ACI quantitative robot, below I explain this question from two aspects.
First, the above mentioned Bitcoin development rate and user growth base, then for this market must be more and more user growth base, because this is the market of mankind, is Bitcoin’s original design concept —— decentralization, in the future, more and more people will enter the huge market derived from the digital currency such as bitcoin, Ethereum; the longer time period, one year, two years or five years, this cycle youcan grasp the number of your wealth appreciation (the biggest wealth);

Second, the first thing new users enter the market must face the secondary market, retained in the secondary market will learn currency speculation and trading, so what is the biggest difference between quantitative and labor? To enter the secondary market to do trading, the first is to learn mathematics, physics and chemistry, the second is anti-humanity, to face and accept the market of every market fluctuations, the third is to establish a set of their own trading system and resolutely implement. These three points seem simple, but need the hard conditions: 1, talent; 2, systematic learning and combat; 3,5 or even over 10 years of full-time experience; otherwise why there has been a saying: one profit, two draws, two losses and seven losses. Ask, if every user can make money in the digital money market, where does the money come from? And quantitative trading it is more suitable for ordinary players, it also has a scientific name called algorithm trading, it will replace artificial strategy, with mathematical models and scientific strategy, to achieve a certain conditions, but its profit is a stable long-term absolute value, rather than the short term of wealth; because each of us enter the digital currency secondary market, the original intention is to improve life, achieve wealth growth, increase the happiness index;
Third, why do you choose the ACI quantitative robot as a tool to fry the currency?
1. Select any product to make a comparison, especially the financial industry; here put forward a core: withdrawal rate is linked to risk, and the secondary market price of digital currency fluctuates greatly, a careless will be a large withdrawal, so we choose the product is not its return rate, but two products, product recovery rate is 100%, and 50%, product 20 year rate is 70%, and the withdrawal rate is 10%, the choice is only product 2;
2. Fund utilization rate, not just play finance, as long as you do business you will understand that the nature of business is not related to fund utilization, the greater your capital utilization proves that the more you can do, the more pipeline to profit; (those who play Martin strategy)
3. The concept reflected by the ACI quantitative robot is also consistent with the personal development ideal, It is free and continuously updated and optimized for life, Of course there is no free lunch, After all, everything takes costs, It charges a small transaction fee, To mark 99.99% of the various products on the current market, All exceptions are the lowest 20% profit withdrawals, Take an example here, If 10,000 u profit 1,000 u, Excluding withdrawal servants and exchange fees, Only over 700 u, came up with While the same ACI quantized robot profits 1,000 u, with 10,000 u Remove fees, Final hand 935-940u;
4. API technology interface of trading platform, do quantitative is a core is security and stability, as the three head compliance trading platform —— currency network, I think I don’t need me to introduce, whether from the user base, trading depth or technical security, is the best choice, after all, security and stability is not what we want;
Simply summary, quantification is actually statistics
About Author
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
Jia Signs Netbank as First Institutional Partner, Opening Its SME Lending Infrastructure to Banks and Lenders
Los Angeles, United States, July 16th, 2026, FinanceWire
Proven on US$20M in Philippine SME loans with a sub-3% NPL rate, Jia’s AI underwriting infrastructure Ossicone is now available for banks, cooperatives and lending companies to deploy under their own brand
Jia, a financial platform serving businesses across emerging markets, today announced a landmark partnership with Netbank, a bank regulated by the Bangko Sentral ng Pilipinas, marking the first time Jia has opened its lending infrastructure to an outside institution. As part of the partnership, Netbank has extended Jia a $2 million credit facility, Jia’s first institutional credit facility in the Philippines, to fund working capital loans for up to 500 SMEs over the next 12 months, and is powering Jia Accounts, a new business banking product for Philippine SMEs that lets borrowers receive funds and manage repayments in a single regulated flow
The partnership is the latest milestone in Jia’s expansion from lender to platform. Since 2022, Jia has originated more than US$20 million in SME loans in the Philippines with a non-performing loan rate below 3% and zero write-offs, against an industry average of 10% to 15%. That track record was built lending to the businesses most institutions overlook such as retailers, distributors, and inventory-heavy companies with proven order flow and a history of repayment, underserved not by their own performance but by the limitations of conventional credit assessment.
At the center of Jia’s infrastructure is Ossicone, its proprietary AI underwriting engine. Ossicone reads the documents that define how emerging market businesses actually operate – purchase orders, supplier invoices, delivery receipts – and returns a credit decision in under 30 minutes at 97% accuracy. No public training set exists for how Philippine SMEs trade, pay, and borrow. Jia has spent three years building one, sharpened by every loan on its book. With Jia Accounts now live, real-time cashflow data feeds directly into Ossicone’s models, compounding its accuracy over time.
SMEs across emerging markets face an estimated US$8 trillion credit gap that legacy banks are structurally unable to close. Jia is now making the infrastructure it built and proved on its own balance sheet available to the banks, cooperatives, and lending companies that want to close it. Through Ossicone via API and a white-label product, any financial institution can deploy Jia’s accounts, underwriting, and capital connectivity under its own brand, without rebuilding core infrastructure. Netbank is the first institution to build on that infrastructure — pairing the banking rails behind Jia Accounts with Ossicone-powered underwriting — validating a model Jia is now extending to banks, cooperatives, and lending companies across the region.
“Every emerging market has thousands of businesses growing fast, paying on time, and waiting for a bank that can see them clearly,” said Zach Marks, CEO of Jia. “We spent three years building the infrastructure to do that and proving it on our own balance sheet. Now we’re opening it to other institutions, because the opportunity is too large for any one lender to capture alone.”
“There is no public dataset for Philippine SME financial documents. That’s the moat,” said Krizanne Ty, President and Country Head at Jia Philippines. “Every loan has sharpened Ossicone’s accuracy, and now that businesses bank with Jia, their live cashflow feeds directly into the models — making them better for every SME on our book and every institution building on our platform.”
Financial institutions interested in deploying Jia’s infrastructure can reach the team at partners@jia.xyz.
About Jia
Jia is the financial operating system for emerging market businesses, combining business banking, AI-powered underwriting, and capital connectivity in a single platform. Validated on its own live loan book in the Philippines since 2022, Jia now makes the same infrastructure available for banks, cooperatives, and lending companies to deploy under their own brand. Jia is led by a team that has scaled fintech businesses and managed more than US$10 billion in assets across emerging markets, and is backed by leading global fintech investors. Users can learn more at jia.xyz.
Contact
Partner
Maggie Philbin
VSC for Jia
press@jia.xyz
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
Jia Signs Netbank as First Institutional Partner, Opening Its SME Lending Infrastructure to Banks and Lenders
Los Angeles, United States, July 16th, 2026, FinanceWire
Proven on US$20M in Philippine SME loans with a sub-3% NPL rate, Jia’s AI underwriting infrastructure Ossicone is now available for banks, cooperatives and lending companies to deploy under their own brand
Jia, a financial platform serving businesses across emerging markets, today announced a landmark partnership with Netbank, a bank regulated by the Bangko Sentral ng Pilipinas, marking the first time Jia has opened its lending infrastructure to an outside institution. As part of the partnership, Netbank has extended Jia a $2 million credit facility, Jia’s first institutional credit facility in the Philippines, to fund working capital loans for up to 500 SMEs over the next 12 months, and is powering Jia Accounts, a new business banking product for Philippine SMEs that lets borrowers receive funds and manage repayments in a single regulated flow
The partnership is the latest milestone in Jia’s expansion from lender to platform. Since 2022, Jia has originated more than US$20 million in SME loans in the Philippines with a non-performing loan rate below 3% and zero write-offs, against an industry average of 10% to 15%. That track record was built lending to the businesses most institutions overlook such as retailers, distributors, and inventory-heavy companies with proven order flow and a history of repayment, underserved not by their own performance but by the limitations of conventional credit assessment.
At the center of Jia’s infrastructure is Ossicone, its proprietary AI underwriting engine. Ossicone reads the documents that define how emerging market businesses actually operate – purchase orders, supplier invoices, delivery receipts – and returns a credit decision in under 30 minutes at 97% accuracy. No public training set exists for how Philippine SMEs trade, pay, and borrow. Jia has spent three years building one, sharpened by every loan on its book. With Jia Accounts now live, real-time cashflow data feeds directly into Ossicone’s models, compounding its accuracy over time.
SMEs across emerging markets face an estimated US$8 trillion credit gap that legacy banks are structurally unable to close. Jia is now making the infrastructure it built and proved on its own balance sheet available to the banks, cooperatives, and lending companies that want to close it. Through Ossicone via API and a white-label product, any financial institution can deploy Jia’s accounts, underwriting, and capital connectivity under its own brand, without rebuilding core infrastructure. Netbank is the first institution to build on that infrastructure — pairing the banking rails behind Jia Accounts with Ossicone-powered underwriting — validating a model Jia is now extending to banks, cooperatives, and lending companies across the region.
“Every emerging market has thousands of businesses growing fast, paying on time, and waiting for a bank that can see them clearly,” said Zach Marks, CEO of Jia. “We spent three years building the infrastructure to do that and proving it on our own balance sheet. Now we’re opening it to other institutions, because the opportunity is too large for any one lender to capture alone.”
“There is no public dataset for Philippine SME financial documents. That’s the moat,” said Krizanne Ty, President and Country Head at Jia Philippines. “Every loan has sharpened Ossicone’s accuracy, and now that businesses bank with Jia, their live cashflow feeds directly into the models — making them better for every SME on our book and every institution building on our platform.”
Financial institutions interested in deploying Jia’s infrastructure can reach the team at partners@jia.xyz.
About Jia
Jia is the financial operating system for emerging market businesses, combining business banking, AI-powered underwriting, and capital connectivity in a single platform. Validated on its own live loan book in the Philippines since 2022, Jia now makes the same infrastructure available for banks, cooperatives, and lending companies to deploy under their own brand. Jia is led by a team that has scaled fintech businesses and managed more than US$10 billion in assets across emerging markets, and is backed by leading global fintech investors. Users can learn more at jia.xyz.
Contact
Partner
Maggie Philbin
VSC for Jia
press@jia.xyz
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
Nova Junk marks 20 years of eco-friendly junk removal in the Washington DC area
Nova Junk, a family-owned junk removal company based in Alexandria, Virginia, celebrates two decades of responsible hauling, recycling, and donation services across the Washington DC metro region.
Washington, United States, 16th Jul 2026 – Nova Junk, a locally owned junk removal company serving Washington, DC, Northern Virginia, and Maryland, is marking its 20th year in business. Founded on September 11, 2005, according to information published on the company website, the company has grown from a two-person family operation into a multi-service hauling company with a team that includes extended family members and long-tenured employees.

Nova Junk provides junk removal, estate cleanouts, office cleanouts, construction debris removal, yard debris hauling, shed removal, hot tub disposal, and labor-only services, according to the company website. The company serves communities throughout the Washington DC metro area, including Alexandria, Fairfax, Arlington, Bethesda, Montgomery County, and Prince George County.
A distinguishing feature of Nova Junk’s operating model is its three-stage disposal process: donate, recycle, and landfill. According to information published on the company website, the team sorts through all collected material, first setting aside items that can be donated to local charities and then separating recyclable materials such as batteries, printers, and refrigerators. Only the remainder goes to the landfill, and the company states that it typically sends just one third of collected material to the dump.
The company is licensed and fully insured, according to the company website, and places a strong emphasis on punctuality and transparent pricing. Nova Junk states that final charges are adjusted downward when a load turns out to be smaller than estimated, a policy highlighted repeatedly in customer reviews published on the company website.
“We started this company as a family and grew it the same way – by treating every customer’s home and business the way we would want ours treated,” said Norman Elbekri, Co-founder at Nova Junk. “After 20 years we are still committed to the same values we started with: honest pricing, responsible disposal, and service that people can count on.”
Nova Junk serves both residential and commercial clients. Services extend to de-cluttering and hoarding solutions, moving and foreclosure cleanouts, and demolition site cleanup. The company operates from two locations – 2000 Duke Street in Alexandria, Virginia and Smoketown Road in Woodbridge, Virginia – and can be reached at novajunk.com.
About Nova Junk
Nova Junk is a family-owned junk removal company founded in 2005, serving Washington, DC, Northern Virginia, and Maryland. The company provides residential and commercial hauling, estate cleanouts, construction debris removal, and specialty services including shed and hot tub removal. Nova Junk is committed to responsible disposal through a donate-recycle-landfill approach that minimizes landfill impact. Learn more at https://www.novajunk.com
Media Contact
Organization: Nova Junk
Contact Person: Norman Elbekri Co-founder
Website: https://www.novajunk.com/
Email:
info@novajunk.com
City: Washington
Country:United States
Release id:47175
The post Nova Junk marks 20 years of eco-friendly junk removal in the Washington DC area 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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