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Summit Quant Capital Launches Avero OS, an AI-Powered Quantitative Copy-Trading System, Ushering in a New Era of Intelligent Investing

NEW YORK, NY  As artificial intelligence continues to accelerate the digital transformation of the global financial industry, Summit Quant Capital has officially launched its next-generation intelligent investment platform, Avero OS, an AI-powered quantitative copy-trading system designed to bring greater intelligence, efficiency, and structure to the investment process.     Avero OS integrates artificial intelligence, quantitative analysis, big-data computing, […]

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As artificial intelligence continues to accelerate the digital transformation of the global financial industry, Summit Quant Capital has officially launched its next-generation intelligent investment platform, Avero OS, an AI-powered quantitative copy-trading system designed to bring greater intelligence, efficiency, and structure to the investment process.

 

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Avero OS integrates artificial intelligence, quantitative analysis, big-data computing, institutional capital-flow monitoring, and intelligent risk-management technologies to help investors move beyond the limitations of traditional investment approaches and gain access to a more data-driven and systematic investment experience.

Unlike conventional copy-trading systems that primarily rely on manually replicating the trades of individual traders, Avero OS uses AI algorithms to analyze real-time market movements, institutional capital flows, and trading behavior. The system is designed not only to help identify potential entry and exit opportunities, but also to provide intelligent alerts that enable investors to stay informed about important changes in market conditions.

According to Summit Quant Capital, the core philosophy behind Avero OS is:

AI identifies opportunities. Data supports decision-making.
Intelligent capital tracking helps identify risks earlier.
Automated strategy execution enhances investment efficiency.

AI-Powered Decision-Making + Intelligent Copy Trading + Institutional Capital Alerts

At the core of Avero OS is an architecture built around AI-driven decision support, intelligent execution, and synchronized risk monitoring.

The platform continuously scans the stock market using deep-learning algorithms, quantitative models, and real-time market data. Its analytical framework incorporates multiple market indicators, including:

  • Institutional capital flows
  • Large capital movements
  • Major market participant trading activity
  • Sector capital rotation
  • Changes in market sentiment
  • Relative strength and trend dynamics of individual stocks

 

By combining these data points, Avero OS is designed to continuously monitor market conditions and generate system signals when significant changes occur.

Compared with traditional investment approaches that require investors to manually monitor market movements, Avero OS can continuously track market developments and notify users when potentially significant opportunities or risks emerge.

Beyond Trade Replication: Tracking the Behavior of Institutional Capital

Traditional copy-trading models generally focus on replicating the buy and sell decisions of a particular trader. However, significant market movements often begin with changes in capital flows and market behavior before they become visible through individual trading actions.

Avero OS therefore places greater emphasis on the capital-flow dynamics behind market movements.

Through its institutional capital-flow analysis models, the system is designed to identify patterns such as:

  • Sustained institutional capital inflows
  • Early positioning by large market participants
  • Potential signs of major capital outflows
  • Abnormal trading-volume and transaction activity
  • Potential signals of market trend reversals

 

When the system detects significant changes in market conditions, it generates intelligent alerts designed to help users recognize potential developments at an earlier stage.

Summit Quant Capital said the objective of Avero OS is not simply to replicate trades, but to use AI to conduct deeper analysis of market behavior, enabling investors to gain more timely insights into potential opportunities and risks.

24/7 AI-Powered Market Monitoring Designed to Reduce the Burden of Constant Market Watching

Financial markets are constantly changing, while traditional investment approaches often require investors to continuously monitor price movements, financial news, and capital-flow data.

Extended periods of market watching can be time-consuming and may also increase the influence of emotional decision-making.

Avero OS is designed to provide continuous, AI-powered market monitoring, including:

  • Real-time stock market scanning
  • Institutional capital-flow tracking
  • Monitoring of significant market events
  • Analysis of price and trading-volume changes
  • Identification of potential trading signals

 

When market conditions meet predefined model criteria, the system can deliver alerts to users through multiple channels, including:

  • Telephone alerts
  • SMS notifications
  • System push notifications
  • In-app messages

 

This functionality is designed to help investors stay informed about important market developments without having to constantly monitor their screens.

Summit Quant Capital said the value of AI extends beyond improving trading efficiency. By reducing the need for constant market monitoring, intelligent systems can allow investors to devote more time to investment planning, portfolio management, and strategy development.

Intelligent Strategy Tracking to Support Entry and Exit Decisions

Avero OS applies multidimensional data analysis to dynamically evaluate market trends.

The system incorporates:

  • Technical indicators
  • Capital-flow models
  • Quantitative factors
  • Market sentiment
  • Industry and sector trends

 

to help identify:

  • Potential accumulation and positioning opportunities
  • Periods of strengthening market trends
  • Stages of elevated risk or risk release
  • Potential timing for strategy adjustments

 

At the same time, the AI models are designed to continuously adapt their analytical logic as market conditions evolve, helping the system respond to different market cycles and environments.

Intelligent Risk Management Designed to Enhance Investment Stability

As market volatility increases, risk management has become an increasingly important component of modern investment strategies.

Avero OS incorporates an intelligent risk-management framework designed to monitor:

  • Abnormal market volatility
  • Changes in individual-stock risk
  • Capital outflow signals
  • Portfolio-level risk exposure

 

When potential risks are detected, the system can promptly issue risk alerts and provide users with information to support potential strategy adjustments.

Through AI-driven risk analysis and dynamic monitoring, Avero OS is designed to help investors reduce the potential impact of delayed information and emotionally driven trading decisions.

Bringing AI-Powered Quantitative Capabilities to a Broader Investor Base

The launch of Avero OS is intended to lower the barriers for individual investors seeking access to sophisticated investment technologies.

The platform is designed to support a range of investment objectives, including:

  • Conservative strategies
  • Balanced strategies
  • Growth-oriented strategies
  • Multi-market analysis

 

Avero OS also provides tools for:

  • Trade and transaction analysis
  • Strategy performance tracking
  • Risk-data visualization
  • Portfolio management

 

By bringing these capabilities together within an integrated platform, Avero OS aims to help users better understand investment strategies and develop a more structured and data-driven approach to investing.

Advancing AI-Powered Intelligent Investing

As artificial intelligence, big-data analytics, and quantitative technologies continue to evolve, AI is increasingly becoming an important component of the global financial ecosystem.

Summit Quant Capital said it plans to further enhance Avero OS across several key areas, including:

  • Artificial intelligence algorithms
  • Quantitative strategy research
  • Institutional capital-flow analysis
  • Intelligent risk management
  • Automated investment management

 

The company also emphasized that it will continue to focus on data security, system stability, and applicable financial-market regulatory requirements, with the goal of promoting the development of intelligent investment technologies in a more transparent and secure manner.

Industry observers believe the launch of Avero OS reflects a broader shift in investment practices—from traditional approaches centered on manual market monitoring toward a more advanced model based on real-time AI analysis, intelligent alerts, and data-driven decision-making.

As intelligent investment technologies continue to mature, investors may increasingly rely on automated systems to receive timely market information rather than spending extended periods monitoring market screens. Such technologies could enable investors to participate in global capital markets through a more efficient, systematic, and data-driven approach.

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SUMMIT QUANT CAPITAL INC
418 BROADWAY STE N ALBANY, NY 12207
Email: Send Email
Website: summit-quant.com

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Nonprofit Organization, Citizens Academy US, Makes Official Public Release of Guide to Complete Understanding of the Preamble to the U.S. Constitution

Washington, DCCitizens Academy U.S., a nonprofit dedicated to helping Americans understand the U.S. Constitution’s Preamble, has officially released The Guide to Complete Understanding of the Preamble to the United States Constitution in celebration of Constitution Day, September 17. The organization is hosting a free online event, “The Day ‘We the People’ Appeared,” on September 13, 2026, […]

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Citizens Academy U.S., a nonprofit dedicated to helping Americans understand the U.S. Constitution’s Preamble, has officially released The Guide to Complete Understanding of the Preamble to the United States Constitution in celebration of Constitution Day, September 17. The organization is hosting a free online event, “The Day ‘We the People’ Appeared,” on September 13, 2026, exploring the Preamble and its six purposes.

The Preamble Guide Simplifies Understanding of the Six Purposes of the U.S. Constitution

In celebration of Constitution Day, September 17th, the Citizens Academy U.S., a nonprofit organization with the goal to help hundreds of millions of Americans understand the Preamble to the U.S. Constitution, just made their official public release of The Guide to Complete Understanding of the Preamble to the United States Constitution.

 

max 1 Nonprofit Organization, Citizens Academy US, Makes Official Public Release of Guide to Complete Understanding of the Preamble to the U.S. Constitution
Citizens Academy US is making the official public release of their Preamble Guide, a free download on their website with hardcover and softcover editions available

As noted on their website, the Preamble lays out all six purposes of the U.S. Constitution, and they are working to restore clarity and shared understanding of the Preamble and thus these six purposes. They do not explain or interpret what it means, they provide an enjoyable and easy way to completely understand it, so people can make up their own mind as to what it means.

Constitution Day is celebrated annually across the U.S. every September 17th as it is the day when 39 delegates signed the United States Constitution at Independence Hall in Philadelphia in 1787. In addition to the official release of their Guide, Citizens Academy US is hosting a free online event on Sunday, September 13, 2026, at 11am PT/2pm ET, entitled, The Day “We the People” Appeared. The event is expected to run for 1.5 hours and is open to free public registration at this link.

Academy officials have observed that many Americans who have attempted to read the Constitution have difficulty in understanding it. They attribute this to the fact that languages change over time, and many words do not mean what they meant when the Constitution was drafted. “Definitions from the late 1700s vary drastically from today’s definitions,” said Academy spokesperson Steven Ferry, “and it is vitally important that the Constitution is read with reference to the original definitions in use at the time it was written.”

To help people overcome this challenge, Citizens Academy US provides definitions in their Guide based on those from Noah Webster’s 1828 American Dictionary of the English Language. This early dictionary reveals what the words meant to the Founders and the people at the time the Constitution was written.

As an example, the definition of “welfare” in the Guide, based on Webster’s 1828 dictionary is: “the enjoyment of peace and prosperity, and other benefits of society, such as protection of rights, public safety, justice, and liberty.” Today’s Oxford Learner’s Dictionary includes an additional definition which people often refer to: “practical or financial help that is provided, often by the government, for people or animals that need it.”

Academy officials have also observed that when the Preamble is read with the original definitions in mind, understanding the six purposes of the Constitution becomes simple and the results are profound. The principle that forms the basis of the Guide is a quote by best-selling author L. Ron Hubbard, who wrote, “Complete understanding depends upon freedom from misunderstood words.”

By visiting the Citizens Academy US website, you can view the Guide and download it for free or purchase the hardcover or softcover in their bookstore.

 

max 2 Nonprofit Organization, Citizens Academy US, Makes Official Public Release of Guide to Complete Understanding of the Preamble to the U.S. Constitution

In honor of Constitution Day, Citizens Academy US is hosting a free online event, titled “The Day ‘We the People’ Appeared” on September 13, 2026, at 11am PT/2pm ET

 

The Citizens Academy US is a fully IRS recognized 501 (c)(3) charitable organization with the mission to bring about a greater understanding in America. The goal of the Citizens Academy US is to have 100’s of millions of Americans understand the first sentence of the United States Constitution, which is called the Preamble. The Preamble contains the six purposes of the Constitution and understanding the Preamble enables Americans to grasp what the Constitution is meant to achieve.

For more information about Citizens Academy US, please visit: www.CitizensAcademy.us

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Steven Ferry
Citizens Academy US
Email: Send Email
Phone: 727-492-4082
Website: citizensacademy.us

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Ángela Rodríguez Expands REFLEJO™ Method and Inclusive Beauty Education Initiatives

NEW YORK, USAAuthor, Beauty Educator, and founder of Divina Makeup advances international education, accessibility, and community-focused programs centered on makeup, autonomy, and women’s empowerment.

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Author, Beauty Educator, and founder of Divina Makeup advances international education, accessibility, and community-focused programs centered on makeup, autonomy, and women’s empowerment.

Colombian-born author, Beauty Educator, and entrepreneur Ángela Rodríguez is expanding her work around the REFLEJO™ Method, an educational self-makeup methodology designed to help women better understand their individual features, needs, and personal approach to beauty.

 

1000494238 Ángela Rodríguez Expands REFLEJO™ Method and Inclusive Beauty Education Initiatives

 

Ángela, founder of Divina Makeup and author of Maquíllate en 6 Pasos (Make Yourself Up in 6 Steps), is developing the next stage of her educational platform through an updated edition of her book, digital learning resources, accessibility initiatives, international outreach, and community programs focused on women’s confidence, autonomy, and inclusion.

At the center of the initiative is the REFLEJO™ Method, which is based on the principle that every woman is unique and should learn to understand her own face rather than simply reproduce makeup techniques created for someone else.

For Ángela, makeup education extends beyond teaching the application of foundation, concealer, or eyeshadow. Her approach focuses on providing women with practical knowledge that can help them make informed decisions about their appearance while developing greater confidence in their own skills.

“True transformation begins when a woman learns to see herself differently,” Ángela said.

Expanding the REFLEJO™ Method

Ángela is currently developing a new edition of Maquíllate en 6 Pasos that will incorporate the REFLEJO™ Method and expand the educational resources available to readers.

The new edition is planned to include QR codes connecting readers with complementary audiovisual learning materials. The project is also being developed with accessibility resources intended to make makeup education more inclusive for people with hearing disabilities, including sign language interpretation and subtitled content.

The initiative reflects Ángela’s broader objective of making beauty education more accessible to women with different backgrounds, ages, cultures, and life experiences.

She also intends to expand the REFLEJO™ Method internationally as an educational framework that can be used across workshops, community programs, and other learning environments.

From New York Fashion Platforms to Education

Since arriving in New York in 2020, Ángela has worked across several areas of the beauty industry while establishing herself as an educator, author, professional makeup artist, and entrepreneur.

 

1000494239 Ángela Rodríguez Expands REFLEJO™ Method and Inclusive Beauty Education Initiatives

 

Her professional experience has included participation in major New York fashion platforms, including New York Fashion Week, where she has held leadership roles within makeup teams.

Alongside her work as a makeup artist, Ángela has focused on creating professional development opportunities for emerging artists. She has supported initiatives that allow aspiring makeup professionals to gain experience at fashion shows, develop portfolios, strengthen practical skills, and gain exposure to professional working environments.

Her makeup artistry has also appeared in publications and magazine covers connected with New York and France.

As an educator and entrepreneur, Ángela has participated in events throughout the Latino community in the United States, using those opportunities to discuss makeup education, entrepreneurship, confidence, and professional development.

Bogotá International Book Fair Milestone

In 2026, Ángela participated in the Bogotá International Book Fair (FILBo), where she presented her work as an author and discussed her approach to connecting makeup education with women’s empowerment.

The appearance represented another step in Ángela’s effort to expand her work beyond traditional beauty services and develop a broader educational platform.

Her current work builds on that experience by integrating her published material with the REFLEJO™ Method, digital education, accessibility, and community engagement.

Bringing Beauty Education to Communities

Ángela is also strengthening partnerships and developing social initiatives aimed at providing free workshops focused on self-makeup, self-esteem, and empowerment.

The planned initiatives are intended to reach women in Afro-descendant, rural, and Indigenous communities in Colombia, as well as other populations that may have limited access to beauty education and related professional-development opportunities.

Through these programs, Ángela aims to apply the experience she has developed in the beauty industry to educational and community-based settings.

She has also begun collaborating with organizations and foundations that support women while developing a broader social-impact platform centered on education, leadership, inclusion, and dignity.

Connecting Beauty Education With Women’s Rights

Ángela recently participated in an event held within the context of the United Nations focused on education for peace and human rights.

She describes the experience as an important development in her work and one that strengthened her interest in participating in initiatives involving women’s rights, education, dignity, and access to opportunity.

Her long-term vision is to connect beauty education with wider social-impact initiatives and establish strategic partnerships capable of bringing those programs to additional communities.

For Ángela, women’s empowerment encompasses more than personal appearance. Her work increasingly addresses education, autonomy, inclusion, professional opportunity, dignity, and women’s ability to make informed decisions about their own lives.

An Immigrant Entrepreneur Building From New York

Ángela’s professional development also reflects her experience as a Colombian immigrant establishing a career in the United States.

Since moving to New York in 2020, she has worked to build her professional identity across makeup artistry, education, publishing, and entrepreneurship while developing Divina Makeup and the REFLEJO™ Method.

Her focus has gradually shifted from applying makeup for clients toward teaching women how to understand their individual features, develop practical skills, and approach their personal image with greater independence.

Through fashion, education, publishing, community initiatives, and international outreach, Ángela is continuing to develop a platform that brings together beauty education and social purpose.

About Ángela Rodríguez

Ángela Rodríguez is a Colombian-born author, professional makeup artist, Beauty Educator, entrepreneur, and creator of the REFLEJO™ Method. She is the founder of Divina Makeup and author of Maquíllate en 6 Pasos. Based in New York, her work focuses on self-makeup education, professional development, inclusion, accessibility, women’s empowerment, and community-focused initiatives.

Instagram: @divina.make.up

Media Contact

Ángela Rodríguez
Author | Beauty Educator | Creator of the REFLEJO™ Method
Founder, Divina Makeup
New York, United States
Instagram: @divina.make.up

Photo Credit: Photos accompanying this release were taken by New York-based photographer Dong Yang.

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BTI, Cornell Develop AI Tool to Map Hidden Universe of Small Molecules

Ithaca, NYResearchers at the Boyce Thompson Institute and Cornell University have developed AIMe (AI Molecule Explorer), a neuro-symbolic AI tool that predicts, organizes, and searches mass spectra for more than 100 million known small organic molecules—creating a searchable map of chemical space roughly a thousand times larger than existing experimental libraries. Applying AIMe to gut microbiome data, the team identified a previously unknown, ring-shaped polyamine compound also found in human fecal samples, and used the tool to annotate millions of unidentified spectra in a major public mass spectrometry database.

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Researchers at the Boyce Thompson Institute and Cornell University have developed AIMe (AI Molecule Explorer), a neuro-symbolic AI tool that predicts, organizes, and searches mass spectra for more than 100 million known small organic molecules—creating a searchable map of chemical space roughly a thousand times larger than existing experimental libraries. Applying AIMe to gut microbiome data, the team identified a previously unknown, ring-shaped polyamine compound also found in human fecal samples, and used the tool to annotate millions of unidentified spectra in a major public mass spectrometry database.

Researchers at the Boyce Thompson Institute (BTI) and Cornell University unveiled AIMe (AI Molecule Explorer), a neuro-symbolic artificial intelligence tool that predicts and maps the mass spectra of more than 100 million known small organic molecules. The tool tackles a long-standing bottleneck in biomedical science—more than 80% of small molecules detected in a typical biological sample cannot be matched to a known structure—a gap that has stalled discoveries linking the gut microbiome, immunity, and metabolism.

 

Screenshot of AIMe results BTI, Cornell Develop AI Tool to Map Hidden Universe of Small Molecules

 

The work is a collaboration between Frank Schroeder, Professor at BTI and in Cornell’s Department of Chemistry and Chemical Biology, and Carla Gomes, Professor of Computing and Information Science and director of Cornell’s AI for Science Institute.

A different approach to an old problem

Mass spectrometry is the workhorse for small molecule identification used in a wide range of applications from toxicology to food analysis. When a compound is analyzed, the instrument fragments it and records the masses of the resulting pieces. That pattern of fragments, the tandem mass spectrum (or MS2 spectrum), functions as a molecular fingerprint. To identify an unknown compound, researchers compare its spectrum against a reference library of spectra from known compounds or develop hypotheses as to what the structure of a compound may be based on manual analysis of the fragmentation pattern.

The problem is that experimental reference libraries remain sparse, while expert, one-by-one interpretation is labor-intensive and slow. Collectively, available libraries cover fewer than 1% of known compounds, and resolving the structure of a single unknown can take days to months of iterative analysis and experimental validation. As a result, spectra without close library matches usually remain unannotated.

AIMe takes a different approach. Rather than waiting for experimental spectra to accumulate in libraries, it predicts spectra computationally—then organizes those predictions into a searchable resource called MS2KOSMOS. AIMe generated more than 800 million predicted spectra covering essentially all known small organic molecules in PubChem, the largest publicly available chemical database. That represents roughly a thousandfold expansion of searchable chemical space relative to existing experimental libraries.

“At the core of AIMe is DeepMS2Reasoner, a model that simulates how molecules fragment inside a mass spectrometer,” explained Gomes. “It builds fragmentation pathways step by step, using symbolic chemical rules to enumerate physically plausible fragmentation steps and a neural network to assign likelihoods to each step. The result is a predicted spectrum and an annotated map of how a molecule came apart—a feature that makes AIMe’s outputs interpretable in chemical terms, not just computationally useful.”

From mouse gut to human biology

To demonstrate what AIMe can do in practice, the researchers applied it to a comparative metabolomics dataset from mice. The experiment compared germ-free mice, animals raised without any gut microbiota, against mice with a normal complement of gut bacteria. Several thousand chemical features differed between the two groups, and most of the abundant ones could not be identified using standard methods.

The team used AIMe to query MS2KOSMOS with spectra from the 111 most abundant unidentified microbiota-dependent compounds. For roughly a third, AIMe retrieved close predicted spectral matches and related structural candidates, providing chemically interpretable leads for follow-up. For the rest, AIMe mapped the unknown spectra to molecular neighborhoods—sets of structurally related compounds whose shared fragmentation patterns could inform hypotheses about what the unknowns might be.

“Two compounds in particular became a case study in what AI-guided structure elucidation can accomplish,” said Schroeder. “Both produced spectra that suggested they were polyamine derivatives, a well-studied class of molecules, but the fragment patterns didn’t match anything previously described. Using AIMe’s output as a guide, our team assembled candidate structures combinatorially, predicted spectra for each candidate, and used the comparison to narrow the field.”

For the first compound, the best candidate was a linear putrescine derivative, which was then easily verified by synthesizing an authentic standard. For the second, the predicted spectra of potential candidates consistently failed to explain two prominent peaks—until the team expanded the search to include cyclized variants.

Synthesis confirmed what the predictions suggested. The second compound turned out to be a structurally unusual macrocyclic polyamine—a ring-shaped variant unlike any previously reported from mouse or human biology. Searches of a large public mass spectrometry database subsequently found the same compound in samples of human origin, detected in 57 of 99 human fecal samples examined.

Polyamines occupy an important position in biology. They sit at the intersection of diet, the gut microbiome, and immune function—and these findings suggest that the catalog of microbiota-dependent polyamines is far less complete than scientists assumed.

Annotation at scale

The researchers also tested AIMe at repository scale, applying it to more than 7 million spectral clusters from the Global Natural Products Social Molecular Networking database, one of the largest publicly available repositories of mass spectrometry data. Prior annotation efforts had annotated roughly 416,000 of those clusters. AIMe returned putative annotations for approximately 2.69 million, using the same similarity threshold applied in that earlier effort.

AIMe is accessible at https://www.cs.cornell.edu/gomes/udiscoverit/kosmos/ and the source code will be made publicly available upon publication of the study. The preprint is available on bioRxiv (DOI: 10.64898/2026.08.05.743095).

About the Boyce Thompson Institute (BTI)

As an independent nonprofit research institute affiliated with Cornell University, our scientists are committed to advancing solutions for global food security, agricultural sustainability, and human health. Through groundbreaking research, transformative education, and rapid translation of discoveries into real-world applications, BTI bridges fundamental plant and molecular science with practical impact. Discovery inspired by plants since 1924. Learn more at BTIscience.org.

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