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ACI quantitative robot-The power of reading the trends

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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 “The outdated people stick to the end.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

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Press Release

ZAURIX Opens London Office to Expand Trading Infrastructure for Algorithmic Traders

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ZAURIX (Zaurix Ltd.), a multi-asset trading firm with Swiss origins, has opened an office in London. The expansion extends the company’s MetaTrader 5 trading infrastructure and services for automated and algorithmic traders to clients worldwide.

LONDON, United Kingdom, 12th Jun 2026 — ZAURIX (Zaurix Ltd.), a multi-asset trading firm with Swiss origins, today announced the opening of its London office. The expansion supports the company’s services for automated and algorithmic traders, as artificial intelligence plays an increasingly significant role in global markets.

 

zaurix_event

Automated and algorithmic systems now account for a substantial share of trading activity across asset classes, and artificial intelligence is increasingly used to analyse, price and trade in markets. In J.P. Morgan’s 2025 e-Trading Edit survey of more than 4,200 institutional traders, roughly two-thirds identified artificial intelligence and machine learning as the most influential trading technologies over the next three years, up from around half two years earlier (Source: J.P. Morgan, e-Trading Edit 2025). For market participants, this shift brings both opportunities and challenges, as automated trading depends on clear strategy, disciplined risk management and reliable infrastructure.

ZAURIX provides the platform and infrastructure for connecting, testing and operating automated trading systems. The company does not supply trading systems or algorithms, and its approach emphasises structured, rules-based trading supported by defined risk controls.

The London office reflects the city’s status as an international centre for finance and technology. It will serve as a base for the firm’s work with traders, developers and partners.

The ZAURIX platform is built on MetaTrader 5 (MT5), a widely used platform for multi-asset and algorithmic execution, and operates under a full MT5 licence. It is designed around three areas: execution, with order routing on colocated MT5 infrastructure intended to remain stable during periods of high volatility; connectivity, with documented access for Expert Advisors (EAs), custom tools and automated trading agents; and risk management, with account safeguards and governance controls. Expert Advisors are supported across all account types, and VPS hosting is available for continuous, 24/7 strategy operation.

Traders can choose from three account types, each offering up to 1:2000 leverage. The Standard and Cent accounts require a minimum deposit of USD 100, with no commission and spreads of 1.5 and 1.8 pips, respectively. The Raw account requires a minimum deposit of USD 1,000, with spreads starting at 0.0 pips and a commission of USD 2-4 per lot. Zaurix Limited is registered with the U.S. Financial Crimes Enforcement Network (FinCEN) as a Money Services Business (Registration No. 31000329726828).

ZAURIX also confirmed plans to develop an EA Partner ecosystem for the automated-trading community, bringing together EA and algorithm developers, signal and strategy providers, technology and VPS partners, and introducing brokers. Further details of the EA Partner Programme are expected in the coming months.

“The future of trading will combine human direction with machine precision,” said Lucian Keller, speaking on behalf of ZAURIX. “We do not supply trading systems or promise returns. Our purpose is to provide reliable, transparent infrastructure that connects trading strategies to the market, and the London office is the next step in making this available to clients worldwide.”

ZAURIX welcomes clients worldwide. More information is available at https://zaurix.com.

About ZAURIX

ZAURIX (Zaurix Ltd.) is a multi-asset trading firm with Swiss origins and an office in London. The company provides MetaTrader 5-based trading infrastructure for automated and algorithmic traders, including support for Expert Advisors across Standard, Cent and Raw account types, with VPS hosting available for continuous operation. Zaurix Limited is registered with the U.S. Financial Crimes Enforcement Network (FinCEN) as a Money Services Business (Registration No. 31000329726828). The company serves clients worldwide. For more information, visit https://zaurix.com.

Risk Warning
Trading in foreign exchange and CFDs carries a high level of risk and may not be suitable for all investors. High leverage can work against you as well as for you. Past performance is not indicative of future results. Please ensure you fully understand the risks involved and seek independent advice where appropriate.

Media Contact

Organization: Zaurix Ltd.

Contact Person: Lucian Keller

Website: https://zaurix.com

Email:
contact@zaurix.com

Contact Number: +447526182676

Address:Ground Floor, The Sotheby Building, Rodney Village, Rodney Bay

Address 2: Postal Code LC01 401

City: Gros-Islet

Country:Saint Lucia

Release id:45966

The post ZAURIX Opens London Office to Expand Trading Infrastructure for Algorithmic Traders 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

SellerSprite launches 2026 Amazon growth intelligence toolkit for sellers facing higher costs

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SellerSprite has launched its 2026 Amazon Growth Intelligence Toolkit, a unified platform connecting product research, keyword analysis, pricing, advertising, and profitability data for Amazon sellers navigating rising fees and AI-driven advertising changes.

Chengdu, Sichuan, China, 12th Jun 2026 – SellerSprite, an Amazon seller analytics platform, today announced the launch of its 2026 Amazon Growth Intelligence Toolkit, a unified platform designed to help Amazon sellers make decisions across product research, keyword research, sales estimation, pricing analysis, advertising planning, competitor tracking, and profitability management. The release arrives as sellers face new fulfillment costs and a more AI-driven advertising environment.

Starting April 17, 2026, Amazon is applying a 3.5 percent fuel and logistics-related surcharge to fulfillment fees across Fulfillment by Amazon in the United States, according to information published in Amazon Seller Central. At the same time, Amazon Ads has expanded AI-powered Sponsored Products and Sponsored Brands prompts toward general availability, with these experiences becoming part of CPC bidding and billing. Together, the changes raise the cost of getting a product in front of buyers and increase the importance of upstream decisions about which products to launch, which keywords to target, and how to price.

The 2026 Amazon Growth Intelligence Toolkit consolidates workflows that sellers have historically managed across separate tools. The platform connects product demand signals, keyword opportunity, competitor performance, listing quality, and profitability into a single workflow, so sellers can move from basic marketplace participation to data-backed decision making without switching between disconnected spreadsheets and trackers.

On product research, the toolkit goes beyond best seller lists by helping sellers evaluate opportunities based on demand, competition, estimated sales, review barriers, price ranges, category movement, and market saturation. According to the company, sales estimates are connected with keyword demand, pricing structure, competitor strength, and margin expectations, allowing sellers to understand whether a product is realistic to launch rather than only popular at a given moment. The platform applies an inclusion principle that focuses on ASINs ranking within defined Best Sellers Rank thresholds for their main categories at the start of each month, with daily refreshes for sales estimates and weekly updates for keyword trends. According to the company, this combination is intended to keep market data fresh enough to support active decisions while avoiding the noise of intraday rank fluctuations.

On keyword research, the toolkit supports analysis of search volume, relevance, ranking difficulty, competing ASINs, and reverse keyword opportunities. The goal, according to the company, is to help sellers understand buyer intent before building listings or launching ads, including practical decisions about which terms belong in product titles, bullet points, backend search fields, and advertising campaigns. The platform offers static keyword expansion, which surfaces long-tail variations of a seed term, and dynamic keyword expansion, which identifies the broader sub-market a seed term belongs to and surfaces other core keywords driving traffic in that category. According to the company, keyword metric prediction accuracy is calibrated against Amazon Brand Analytics ranking data, with internal accuracy reported above 90 percent.

On profitability planning, the toolkit allows sellers to model how referral fees, FBA fees, storage fees, selling price, shipping assumptions, and advertising costs combine to affect contribution margin. According to the company, the goal is to give sellers profit visibility earlier in the product research process, before sample orders, inventory commitments, or campaign spend. Pricing intelligence within the platform connects price movement to broader market context, helping sellers interpret a competitor price drop as a signal of inventory pressure, new competition, seasonal promotion, or advertising activity rather than as an isolated event.

On advertising, the toolkit is positioned to provide better upstream data for the AI-assisted ad workflows that Amazon is rolling out. According to the company, sellers can evaluate search demand, competitor visibility, product pricing, ranking opportunity, and profitability before increasing ad spend, supporting a more disciplined approach as AI-assisted shopping and ad placements expand. A real-time bid tracking module monitors live PPC bid movements so that sellers can react to auction changes without waiting for delayed reporting, and a keyword conversion rate module gives visibility into how individual search terms translate into actual sales rather than only into clicks.

The toolkit also supports brand owners working within Amazon Brand Registry and the Amazon Transparency program by helping monitor market movement, identify competitive threats, and track listing changes over time. According to the company, the platform is relevant beyond private-label sellers, with use cases extending to Kindle Direct Publishing creators evaluating publishing niches and content publishers in the Amazon Associates program selecting categories for buying guides and comparison content.

Seasonal demand is also a focus area within the platform. According to the company, sellers can prepare for promotional windows by reviewing product trends, keyword demand, competitor movement, and estimated sales potential ahead of major sale events, rather than reacting after competitors begin discounting. The platform is intended to support decisions across the full seller workflow, including reorder timing, SKU prioritization, and protection of margin during high-volume periods. Daily monitoring tools track Best Sellers Rank shifts, pricing changes, suppression flags, and inventory risks across tracked products, with tracking quotas pooled across main accounts and sub-accounts so that teams can share resources without per-seat splits. According to the company, the platform serves more than 1.7 million registered users, with browser extension installs above 700,000 across major browsers, figures published on the company website.

About SellerSprite

SellerSprite is an Amazon seller intelligence platform that helps sellers turn marketplace signals into clearer business decisions. The platform supports product research, keyword research, competitor tracking, listing optimization, pricing analysis, review insights, sales estimation, and operational monitoring for Amazon sellers seeking more predictable growth in a competitive marketplace. More information is available at https://sellersprite.ai.

Media Contact

Organization: SellerSprite

Contact Person: Elin Yin

Website: https://www.sellersprite.com/

Email: Send Email

Address:5th Floor, Building 5B, Jingronghui, No. 200 Tianfu 5th Street

City: Chengdu

State: Sichuan

Country:China

Release id:45896

The post SellerSprite launches 2026 Amazon growth intelligence toolkit for sellers facing higher costs 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

Jerky Didn’t Need Another Flavor It Needed a Personality

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United States, 12th Jun 2026 JRKY. is here. The premium American meat snack brand launched today — on National Beef Jerky Day — and it refused to arrive quietly. Before a single stick was sold, JRKY. gave away an entire year’s supply, drawing thousands of entries for a product almost no one had tasted yet. Today, the brand named that winner and released the Heritage Collection, available exclusively at EatJRKY.com.

JRKY. arrives flavor-first into a sea of stale, boring meat snacks — brands that confuse the consumer with protein math and calorie counts while delivering a plastic aftertaste. The Heritage Collection is the classics, redefined: Original, Jalapeño, and Honey BBQ — flavors the category has known forever, brought back bolder and richer than the aisle remembers them — and sold with a voice as bold as the flavors: outspoken and entirely unapologetic about it.

“We aren’t trying to reinvent the category. We’re redefining it,” said Basilios Yiannopoulos, CEO and co-founder of JRKY. “We didn’t build JRKY to fit a category. We built it for people who never fit in just one.”

JRKY. has been running a different kind of playbook since March: minimal posting, no countdowns, no ad blitz. Instead, the brand simply showed up — on tongue-in-cheek billboards, at exclusive events — and never explained why. Curiosity did the rest.

The Heritage Collection is available now at EatJRKY.com in a 6-Pack Variety, a 10-Pack, and a 24-Pack.

About JRKY. 

JRKY. is a premium American meat snack brand based in Nashville, Tennessee — built for people who never fit in just one category. Tradition. Redefined.

For media inquires please contact:

Olivia Parker

 Info@eatJRKY.com 

615-239-6191

Media Contact

Organization: JRKY

Contact Person: Olivia Parker

Website: https://www.eatjrky.com/

Email: Send Email

Country:United States

Release id:46015

The post Jerky Didn’t Need Another Flavor It Needed a Personality 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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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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