Uncategorized
Assetara Launches AI-Powered Investment Platform with Native ASRA Token and Integrated Level System
SeychellesAssetara, a decentralized investment and engagement platform, has announced the public launch of its full-featured ecosystem, combining AI-driven trading strategies, structured staking products, a volatility-based betting engine, and a 30-tier user progression system. The platform’s native utility token, ASRA, is currently in active distribution through an ongoing Initial Coin Offering (ICO) on the BNB network. […]
Seychelles
Assetara, a decentralized investment and engagement platform, has announced the public launch of its full-featured ecosystem, combining AI-driven trading strategies, structured staking products, a volatility-based betting engine, and a 30-tier user progression system. The platform’s native utility token, ASRA, is currently in active distribution through an ongoing Initial Coin Offering (ICO) on the BNB network.

Platform Overview
Assetara is designed to provide systematic, data-driven asset management tools to a broad user base. The platform integrates several interconnected products under a single interface: automated AI investment cells, multi-term staking pools with published APR rates, a prediction market powered by real-time volatility data, daily task and referral systems, and a gamified Level System that ties user progression directly to platform activity.
All transactions, staking positions, and token distributions are settled on-chain via BNB network smart contracts. Users retain custody of their assets through connected Web3 wallets throughout the investment lifecycle.
ASRA Token and ICO
The ASRA token serves as the primary utility layer of the Assetara ecosystem. Token functions include access to premium AI investment pools, staking participation, governance input, and activation of platform perks tied to the Level System.
The token follows a deflationary model with a defined total supply and an integrated burn mechanism. A portion of platform revenues is allocated to periodic token burns, reducing circulating supply over time.
The ICO is structured in staged rounds, each with defined pricing tiers and allocation caps. Current round details, including available supply and pricing, are published in real time on the platform’s ICO dashboard at assetara.ai/en/ecosystem/ico. Early participants receive a bonus of up to +30% on purchased tokens during active ICO phases.
Unsold tokens from each round are subject to a defined disposition policy disclosed in the platform’s tokenomics documentation.
AI Trading Infrastructure
Assetara’s AI trading engine operates continuously, analyzing market conditions across multiple crypto assets including BTC, ETH, BNB, SOL, LTC, and XMR. The system executes trades based on algorithmic logic without manual intervention.
Platform performance data published for the 30-day period through May 2026 recorded 3,373 executed trades across $621,000 in volume, with total costs of $149.30, median execution latency of 17 milliseconds, and 99.99% system uptime. The platform’s equity closed the period at $1,973,233 with a reported maximum drawdown of 0.00% — a period during which BTC declined 4.43%.
Performance data is published on a weekly basis and accessible to all registered users through their account dashboards.
Level System
Assetara launched a 30-tier Level System in May 2026, linking user progression directly to platform activity. XP is earned through deposits, staking, token purchases, bet placements, task completions, and referral network activity. Each level unlocks a reward — including on-chain ASRA tokens, USDT bonuses, platform coupons, and physical branded merchandise.
Permanent tier perks include task XP multipliers, bet-loss cashback in on-chain ASRA, and cosmetic profile badges. The referral component awards users 10% of referred users’ XP, multiplied by a level-based referral curve.
The Vault, a weekly jackpot mechanic launched alongside the Level System, allows users to spend keys — earned through level rewards and the daily Wheel of Fortune — on randomized prize rounds with on-chain ASRA payouts. In
Betting 2.0
Assetara’s prediction market was updated in 2026 with a volatility-based pricing model. Coefficients are calculated individually per asset based on historical volatility, replacing a flat-rate model. Users select strike prices freely via a slider interface, with multipliers scaling up to ×50 for distant targets. A fixed 6% platform margin is disclosed within each prediction snapshot. Settlement is based on hourly candle close data.
Surveys and Community Input
The platform introduced a Surveys section in May 2026, offering users five active surveys covering onboarding experience, staking UX, feature prioritization, and platform usability. Each completed survey carries a disclosed reward. Responses are aggregated anonymously and used to inform product development decisions.
Availability and Access
Assetara is accessible at assetara.ai. Account registration requires an email address and identity verification. Web3 wallet connection is required for on-chain token receipt and staking participation. The platform interface is available in English, German, Spanish, French, Italian, and Russian.
About Assetara
Assetara is a crypto-native investment and engagement platform registered in the Seychelles. The platform combines AI trading infrastructure, staking products, a prediction market, and community engagement mechanics under a unified interface with on-chain settlement.
Disclaimer: This press release is for informational purposes only and does not constitute investment, financial, legal, tax, or trading advice, nor an offer or solicitation to buy or sell any token, digital asset, or investment product. Cryptocurrency, ICOs, staking, prediction markets, and digital asset platforms involve significant risks, including loss of funds, volatility, liquidity risk, smart contract risk, and regulatory uncertainty. Past performance, platform data, APRs, rewards, bonuses, or token burn mechanisms do not guarantee future results. Readers should conduct their own research and consult qualified professionals before participating. Services may be restricted in certain jurisdictions and are subject to applicable laws and platform terms. Pinion Newswire does not endorse or verify the claims made in this release.
Media Contact
Website: https://assetara.ai
Blog: https://assetara.ai/en/blog
ICO: https://assetara.ai/en/ecosystem/ico
For more information visit YouTube.
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Richard Bennett on Quantitative Investing
ALBANY, New York Richard Bennett, a financial markets research and investment strategy professional, continues to focus on quantitative investment research, macroeconomic analysis, asset allocation, portfolio construction, and risk management. As financial markets become increasingly influenced by global economic conditions, capital flows, technology, and rapidly expanding datasets, Bennett believes that investment research requires a more structured and multidimensional […]
ALBANY, New York
Richard Bennett, a financial markets research and investment strategy professional, continues to focus on quantitative investment research, macroeconomic analysis, asset allocation, portfolio construction, and risk management.
As financial markets become increasingly influenced by global economic conditions, capital flows, technology, and rapidly expanding datasets, Bennett believes that investment research requires a more structured and multidimensional analytical process. His approach emphasizes the combination of market data, macroeconomic indicators, quantitative models, valuation analysis, and risk controls to better understand changing market environments.
Rather than relying primarily on short-term market forecasts, Richard Bennett focuses on evaluating the broader forces that may influence asset prices over time.
These can include economic growth, inflation trends, interest-rate conditions, market liquidity, corporate fundamentals, investor positioning, and changes in capital allocation across different sectors and asset classes.
This research framework reflects a broader investment philosophy centered on disciplined analysis and risk awareness.
A Data-Driven Approach to Market Research
One of Richard Bennett’s primary areas of interest is the use of quantitative analysis to support financial market research.
Modern markets generate large amounts of economic, corporate, trading, and behavioral data. Bennett views this information as most useful when it is organized within a clear analytical framework rather than considered in isolation.
Quantitative indicators can help researchers identify patterns, compare historical market environments, evaluate relative valuations, and monitor changes in momentum, volatility, liquidity, and investor behavior.
At the same time, Bennett believes quantitative models should not be treated as substitutes for broader market understanding. Instead, they can be used alongside fundamental and macroeconomic research to provide additional context and improve the consistency of investment analysis.
By combining different sources of information, investors may be better positioned to distinguish between short-term market noise and more meaningful changes in economic or financial conditions.
Understanding Market Cycles
Market-cycle analysis is another important component of Richard Bennett’s research interests.
Financial markets do not operate under a single set of conditions. Different periods can be characterized by expansion, slowing growth, rising inflation, declining inflation, changes in monetary policy, shifts in liquidity, or increasing market uncertainty.
These conditions can influence sectors, asset classes, and investment styles in different ways.
For this reason, Bennett emphasizes the importance of evaluating portfolios within the context of the broader economic and market environment.
A strategy that performs effectively under one set of conditions may behave differently when interest rates, volatility, economic growth, or investor risk appetite changes. Understanding these relationships can therefore play an important role in portfolio construction and strategic asset allocation.
Market-cycle research can also help investors develop more flexible investment frameworks rather than relying on fixed assumptions about future market behavior.
Risk Management as Part of the Investment Process
Richard Bennett also places significant emphasis on risk management.
In his view, investment analysis should not focus exclusively on identifying potential returns. It should also consider the risks associated with market volatility, concentration, correlation, liquidity, and changing economic conditions.
A disciplined risk-management framework can include diversification, position sizing, portfolio monitoring, scenario analysis, and the evaluation of how different assets
may respond to unexpected market developments.
This approach is particularly relevant during periods of elevated uncertainty, when relationships between asset classes can change quickly and traditional assumptions may become less reliable.
Bennett believes that effective portfolio management requires an ongoing balance between opportunity and risk. As market conditions evolve, investment strategies may need to be reviewed and adjusted rather than remaining static.
Quantitative Research and Portfolio Construction
Quantitative research can also play an important role in portfolio construction.
Richard Bennett’s areas of interest include the analysis of multiple factors that may influence investment performance, such as valuation, momentum, quality, volatility, earnings trends, and broader macroeconomic conditions.
By examining several variables together, researchers can develop a more comprehensive view of potential opportunities and risks.
This type of analysis can also support portfolio optimization by helping investors evaluate how individual positions interact within a broader portfolio.
Instead of looking at each investment independently, portfolio analysis considers factors such as diversification, correlation, volatility, and overall exposure to different market drivers.
For Bennett, this broader perspective is an important part of disciplined investment strategy.
Artificial Intelligence and the Future of Investment Research
Another area Richard Bennett continues to follow is the development of artificial intelligence and financial technology.
Artificial intelligence is increasingly being explored across financial markets for applications involving data analysis, pattern recognition, research automation, risk monitoring, and information processing.
Bennett is particularly interested in how AI-based technologies may complement traditional investment research.
Financial analysts today have access to significantly more information than in previous decades. Economic data, company disclosures, market prices, news, alternative datasets, and quantitative indicators can create an enormous volume of information that must be evaluated.
AI and advanced analytical systems may help researchers organize, compare, and interpret this information more efficiently.
However, Bennett believes technology is most useful when incorporated into a disciplined analytical process.
Models and algorithms may identify correlations or patterns, but investment decisions still require an understanding of economic context, risk, market structure, and the limitations of available data.
The combination of human judgment, quantitative research, and advanced technology may therefore become an increasingly important part of modern investment analysis.
A Long-Term Perspective
Richard Bennett’s investment philosophy also emphasizes the importance of maintaining a long-term perspective.
Short-term market movements can often be influenced by sentiment, positioning, unexpected news, and temporary changes in liquidity. While these factors may create opportunities, they can also introduce significant noise into the investment process.
Bennett believes that long-term investment analysis should remain connected to broader fundamentals, including economic conditions, corporate performance, valuation, and sustainable market trends.
This does not mean ignoring short-term developments. Instead, it means evaluating them within a larger framework and determining whether they represent temporary market reactions or more meaningful structural changes.
A disciplined investment process can help investors remain focused on long-term objectives while continuing to adapt to evolving market conditions.
Richard Bennett and SUMMIT QUANT CAPITAL INC
Richard Bennett is associated with SUMMIT QUANT CAPITAL INC, where his professional focus includes financial markets research, quantitative investment analysis, risk management, and investment strategy.
The company maintains an interest in the continued evolution of quantitative finance, data analytics, financial technology, and artificial intelligence within investment research.
As markets become increasingly data-intensive and interconnected, SUMMIT QUANT CAPITAL INC continues to examine how traditional financial analysis and emerging technologies can be combined to support more structured and informed approaches to market research.
For Richard Bennett, the evolution of investment management is likely to involve a growing integration of financial theory, economic analysis, quantitative methods, and intelligent data technologies.
The objective is not simply to generate more information, but to develop research frameworks that can help investors interpret that information more effectively and make decisions within a disciplined risk-management process.
About SUMMIT QUANT CAPITAL INC
SUMMIT QUANT CAPITAL INC focuses on financial markets research, quantitative investment analysis, and data-driven investment methodologies.
Its areas of interest include global capital markets, macroeconomic trends, quantitative research, portfolio strategy, risk management, financial technology, and the evolving role of artificial intelligence in investment analysis.
Media Contact Details
Richard Bennett
Financial Markets Research & Investment Strategy
Email: Send Email
Website: summit-quant.com
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UK Financial Ltd Announces Maya Preferred PRA Recognition as a Real World Asset on Etherscan and Confirms Buyback of 350 Million UK Financial Moonshot Tokens
London, UKUK Financial Ltd, creator of the Maya Preferred Project and the UK Financial Moonshot Token (UKFLMS), today announced another important milestone in the company’s eight-year blockchain journey. UK Financial Ltd recently designated $0.15 in gold backing per UKFLMS token while the token was trading at under one penny. UNDER $0.01 MARKET PRICE • $0.15 GOLD BACKING PER […]
London, UK
UK Financial Ltd, creator of the Maya Preferred Project and the UK Financial Moonshot Token (UKFLMS), today announced another important milestone in the company’s eight-year blockchain journey.
UK Financial Ltd recently designated $0.15 in gold backing per UKFLMS token while the token was trading at under one penny.
UNDER $0.01 MARKET PRICE • $0.15 GOLD BACKING PER TOKEN • ON-CHAIN TRANSPARENCY • REAL-WORLD-ASSET STRATEGY • BUILDING SINCE 2018
MAYA PREFERRED PRA RECOGNIZED AS A REAL WORLD ASSET
Maya Preferred PRA (MPRA) is now categorized on Etherscan under “Real World Assets.”
Etherscan, one of Ethereum’s primary blockchain explorers, displays the Real World Assets classification directly on the Maya Preferred PRA token page.
For UK Financial Ltd, the significance goes beyond a label.
The verified Ethereum smart contract for Maya Preferred PRA identifies MPRA as:
“Maya Preferred PRA – Preferred Class A Series Real World Asset Token (Gold & Silver Backed)”
The verified contract source further states that Maya Preferred PRA represents a Real World Asset backed by gold and silver and issued by UK Financial Ltd.
EIGHT YEARS OF BUILDING — NOW VISIBLE ON ETHEREUM
Maya Preferred was originally established as part of UK Financial Ltd’s effort to connect traditional real-world assets with blockchain technology.
What began years ago as an ambitious effort to bring gold, silver and other physical-asset structures into cryptocurrency has continued developing into a broader Real World Asset ecosystem.
Today, that history is increasingly visible directly on-chain.
MPRA Contract:
0xEc1227BfB3e76d7a2A9bca24d9E98f68dE8bf808
Maximum Total Supply: 200,000,000 MPRA
CHAINLINK VERIFICATION — NINE TOKENS VERIFIED
UK Financial Ltd has made Chainlink verification a centerpiece of its latest blockchain milestone.
The company recently signed an agreement with Chainlink and subsequently verified supply information for all nine of its exchange-traded tokens, including Maya Preferred.
After nearly eight years, UK Financial Ltd says this verification demonstrates that it kept its commitment regarding the limited available token float.
Chainlink Verification Address:
https://www.mayapreferred.io/CHAINLINK/MPRA/SUPPLY
UK FINANCIAL MOONSHOT TOKEN — 1 BILLION MAXIMUM SUPPLY
The UK Financial Moonshot Token carries a maximum supply of 1 billion tokens.
The company has already purchased more than 350 million of those tokens through buyback-style transactions directly on the Moonshot App.
UK Financial Ltd confirmed this 350 Million UKFLMS buyback has been executed, this was part of round one of two rounds and the Company has plans on purchasing as much of the remaining 1 billion tokens in round 2 as early as today.
UK Financial Ltd plans to continue purchasing from the remaining available float in the future, with the possibility of burning tokens acquired through those purchases.
FROM A COMPANY CLAIM TO VERIFIABLE BLOCKCHAIN INFORMATION
Most importantly, investors, researchers, exchanges and blockchain analysts do not have to rely solely on statements from UK Financial Ltd to examine how Maya Preferred PRA describes itself.
They can examine the verified smart-contract source directly on Ethereum.
MPRA’s verified contract source contains the Real World Asset designation and describes the token as backed by gold and silver. Etherscan’s token interface now additionally categorizes Maya Preferred PRA under Real World Assets.
That gives the public another independently visible layer through which to examine the Maya Preferred ecosystem.
JAMES DAHLKE: “THE BLOCKCHAIN IS BEGINNING TO TELL OUR STORY FOR US”
James Dahlke, President and CEO of UK Financial Ltd, stated:
“For eight years, we have said that Maya Preferred was built around real assets. Today, people don’t simply have to take our word for it. Go to Ethereum. Go to Etherscan. Look at Maya Preferred PRA. It is categorized under Real World Assets, and then go one step further and read our verified smart contract. It says exactly what Maya Preferred PRA was designed to represent — a Real World Asset token backed by gold and silver.”
Dahlke continued:
“That is where I believe cryptocurrency has to go. Don’t just tell people what something is. Put the structure on-chain. Give people the contract address. Give them the wallets. Give them the information and let them verify it themselves. The blockchain is beginning to tell our story for us.”
THE NEXT CHAPTER OF MAYA PREFERRED
The recognition comes as UK Financial Ltd continues expanding the infrastructure surrounding the Maya Preferred ecosystem, including its work involving Real World Assets, regulated-token architecture, blockchain transparency and ERC-3643 infrastructure.
Maya Preferred PRA remains the flagship Preferred Class token of the Maya Preferred Project and the foundation upon which a broader digital-asset ecosystem has been developed.
For UK Financial Ltd, the Etherscan RWA categorization represents something particularly important:
Visibility.
After years of development, the terminology UK Financial Ltd has used to describe Maya Preferred PRA can now be seen directly within one of Ethereum’s most widely used blockchain explorers.
VERIFY IT — DON’T JUST BELIEVE IT
UK Financial Ltd encourages the cryptocurrency community, exchanges, analysts and Maya Preferred holders to independently examine the Ethereum blockchain.
Token: Maya Preferred PRA
Symbol: MPRA
Blockchain: Ethereum
Classification displayed by Etherscan: Real World Assets
Maximum Total Supply: 200,000,000 MPRA
Contract: 0xEc1227BfB3e76d7a2A9bca24d9E98f68dE8bf808
The company believes the future of Real World Asset tokenization will ultimately be determined not by marketing claims, but by transparency, verifiability and infrastructure that can be independently examined on-chain.
UK FINANCIAL LTD
THE MAYA PREFERRED PROJECT
Eight Years of Building. Real Assets. Real Blockchain Infrastructure. Verifiable On-Chain.
FROM MEME TOKEN TO REAL-WORLD-ASSET INFRASTRUCTURE — UK FINANCIAL LTD IS WRITING ITS OWN HISTORY ON ETHEREUM.
#UKFinancialLtd #MayaPreferred #MPRA #UKFLMS #Chainlink #Ethereum #Etherscan #RWA #GoldBacked #RealWorldAssets
Media Contact Details
LJames Dahlke
Email: Send Email
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Dallas, TX Employment Law Firm Announces Key Promotion, New Hires
Dallas, TXThe Devadoss Law Firm, P.L.L.C. is pleased to announce a new promotion within the firm, along with the addition of six new attorneys to its growing team. This continued growth and refinement helps support the firm’s mission of representing federal employees in complicated labor cases. First, the firm is proud to share that Meagan Brooks […]
Dallas, TX
The Devadoss Law Firm, P.L.L.C. is pleased to announce a new promotion within the firm, along with the addition of six new attorneys to its growing team. This continued growth and refinement helps support the firm’s mission of representing federal employees in complicated labor cases.
First, the firm is proud to share that Meagan Brooks has been promoted to Operations Office Manager. In this role, she will work directly under the Director of Accounts and Operations and will be involved in the daily operations of the firm across all areas. Her promotion speaks to the trust the firm places in her leadership and her contributions to the team.
The firm has also hired five associates who will support its litigation team. These new associates are Hannah Highland, Justin Yao, Chloe Marshall, Tatum Cooper, and Liam Tomson. Each brings valuable experience and skill to the firm as it continues to represent federal employees in high-stakes legal disputes.
In addition, the firm has hired Ashley Hales as an OWCP and OPM associate for its transactional team. Her focus will be on cases involving the Office of Workers’ Compensation Programs and the Office of Personnel Management.
For more than 20 years, The Devadoss Law Firm, P.L.L.C. has exclusively represented federal government employees. In that time, the firm has handled more than 5,000 federal sector employment cases. These new additions reflect the firm’s commitment to serving federal employees nationwide, expanding the firm’s breadth of legal knowledge and experience.
About The Devadoss Law Firm, P.L.L.C.
At The Devadoss Law Firm, P.L.L.C., we represent federal employees across the country in investigations, disciplinary actions, workers’ compensation claims, and other employment issues. From our offices in Washington, D.C., Atlanta, and Dallas, we are positioned to serve federal employees no matter where they are stationed. To learn more, visit https://www.fedemploymentlaw.com/ or call 888-351-0424 to schedule a free consultation.
Media Contact Details
Brian Wildman
Email: Send Email
Website: www.ovclawyermarketing.com
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