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New in crypto investment? Let’s get started with Bit.Store where it only takes 3 steps to get cryptos

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5 years ago

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Investing in digital currency has become a trend

With the new record Bitcoin (BTC) price reached earlier this year and the wave of price surge of DOGE and SHIB led by Elon Musk, digital currency has gradually attracted outsiders. It has become one of the major topics in global investment trend. Players including Facebook, national-level digital currencies, commercial companies, tournament games, Tesla, etc. have all begun to get involved in digital currencies.

Although BTC has fallen from the highest price of $64,000, in fact, many users’ enthusiasm for BTC or other cryptos has not diminished at all. In the tide of digital currency, insiders may be familiar with the concepts and tricks of DeFi, IDO, GameFi, NFT, etc., but outsiders still have difficulties getting started with even the most basic transaction operation as buying or selling.

According to Trading View’s data: The total market value of cryptocurrencies has risen from US$6,617 million on March 1, 2014 to US$2,101 trillion as of date (August 24, 2021). This shows the rapid development of the digital currency industry. Generally speaking, the simplest investment strategy is to buy mainstream cryptos that have endured the test of time, such as Bitcoin and Ethereum. Although the fluctuations are relatively flat, but the return on investment still exceeds any other investment product on the market.

In addition, advanced players will perform position management, and will test invest in some altcoins on platforms such as Binance, Coinbase, and Huobi. More advanced players will perform lock-up mining and various activities like farming and panic buying etc., but these tricks are extremely difficult for novice users. In this case, a simple, easy-to-use and safe software is demanded with urgence. Therefore, Bit.Store comes to help.

Bit.Store makes it easier to buy digital currency

According to its official briefs, Bit.Store is a purchase platform of digital assets with the characteristics of safety, convenience, and cross “fiat-crypto”. It’s becoming popular in Southeast Asia, Europe and other regions, and in particular, has become the most popular platform for novice crypto investors in Indonesia. Meanwhile, Bit.Store is focused on enhancing its attribute for social networking, ready to fully embrace the web3.0 era, helping novice users build a decentralized community, and establish efficient information exchange channels for digital assets.

Briefly, through Bit.Store platform, novice investors can directly buy cryptos with fiats, for instance, buying USDT or BTC with U.S. dollars. And there is no need to worry about security and legal issues, which will be specifically referred to in the following.

As a matter of fact, in this field, there are already many competitors. In the present business environment, where there are people, there will be always competition. Apparently, PayPal and CashApp are outstanding ones in the sector. However, it is undeniable that they also have defects. For example, PayPal purchases bitcoins. The handling fee of 2%-5% is rarely mentioned by CashApp in the Asian region. Complicated operation procedures, long waiting confirmation time, asset-light publicity coverage, high handling fees, etc., are all the obstacles that keep users from entering the field of digital currency investment, thus slow down the expanding of digital currency that was originally meant to improve asset utilization and efficiency.

Before the launch of Bit.Store, we have done sufficient research on the market and optimized all these problems.

Handling fee: Bit.Store charges only 2% handling fee.

Operation: Once you have the actual experience on Bit.Store, you will find that there are only three steps to go through when buying bitcoin, namely, check the transaction curve of the price, choose to buy, choose the payment method, and there you go. No matter you’re a novice or veteran user, you can enjoy the ultimate experience.

Security: Bit.Store’s assets are entrusted to Coinbase, one of the world’s top three trading platforms, and Cobo, Asia’s leading cryptocurrency wallet, which should be familiar to longtime users. Coinbase, in particular, is the dominant trading platform right now. In addition to selecting reliable partners, Bit.Store also invites PWC auditors to conduct regular audits, which, combined with its active compliance with laws and regulations, makes Bit.Store’s security level almost equal to that of asset managers in traditional finance.

Development Plan: The history of Nokia tells us that if we do not move forward, we will be abandoned by the time. This is especially true in the domain of blockchain. As a result of the rapidly changing market and industry hit, we must stay humble and stay hungry, if we want to achieve long-term growth. In this regard, Bit.Store is not only a fiat trading platform, but also a UGC/PGC community, which can be envisaged as the Bilibili.com in the field of digital currency. Users can freely discuss issues about cryptos and help beginners understand investment skills. Blockchain is based on consensus and trust, which is also implemented by Bit.Store as a core guidance. Of course, there will be incentives for referrals and those who are active in answering questions in the community.

Only with a solid foundation we can have a bright future

Similar to PayPal, Alipay is very popular in China, while almost everyone has an account of PayPal in Europe and America. In Southeast Asia, where Bit.Store is well accepted, it becomes a promising region. Especially in recent years, due to geographical location and development advantages, Southeast Asia shows a tendency of increasingly expanding young population. Young people tend to accept new things due to their curiosity. According to a survey, it shows that 80% of the respondents said they were aware of cryptocurrency, 53% expressed the interest to invest, 17% of them are even very knowledgeable about cryptos.

Thanks to the huge number of young people, it has laid a good foundation for Bit.Store’s business expansion and development. In addition, the regulatory environment in Southeast Asia is also very friendly, with well-established channels. At the same time, it is also sophisticated for international communication in the region. Although it is slightly less developed than Europe and the United States, but as for the internet infrastructure and its leading economic basis, users in Southeast Asia tend to be more open towards cryptocurrencies.

It is noted that successful transactions between fiat and crypto currencies often require more than just users and technology. The factor of government relations is often the most important element. It is understood that Bit.Store attaches much more importance to this area than what you can imagine. The cooperation has been rolled out with nearly 40 payment companies in over 20 countries and regions, with one international bank and one international payment institution. Right now there are payment licenses available in Hong Kong, the Philippines, Singapore, as well as many countries and regions in the European Union.

According to official data, Bit.Store has already attracted 200,000 users worldwide since its launch about a year ago, with some 50,000 daily active users. The sharp increase in the number of users shows that there is a looming demand in the market in this area, and the surge in growth should be due to its full preparation. In the aspect of social functions, as mentioned above, it is an important part of Bit.Store’s development plan. In the traditional world, money and information are transferred separately, while in the blockchain world, value and information are combined. There is no doubt that trust is a must. With a brand-new business module, we have the widest economic moat to make the service to be adored and recognized by users.

Bitcoin was created about 10 years ago. However, in those days no one could imagine that the value of Bitcoin would reach 60,000 US dollars ten years later. In this sense, the future always means something you can’t imagine. Nowadays, Bitcoin is no longer a topic discussed in a small circle. Bitcoin and other digital currencies have got their best chance to grow, thus they have become a rising star in the global investment field. At the same time, blockchain technology has also been on the top of the R&D agenda in many countries.

Probably some people are still watching, while some people have already quit. Perhaps some people are eager to get started, while some people get frustrated about it. In any case, the future development is bound to go forward. And if you didn’t find a way to get onboard the bandwagon, then hop on Bit.Store.

About Author

Alex Jacob

Alex Jacob is a literature author. He was born in Chicago. Alex passion is writing news articles. He writes number of articles and published it.

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Press Release

Salience Clinical Introduces S2G Framework Pairing AI Screening with Physician-Executive GestaltSubmissions

Published

8 minutes ago

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September 15, 2026

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New methodology provides biopharma and medtech sponsors an auditable path from multimodal clinical data entropy to regulatory-ready narratives.

PRINCETON, N.J., United States, 15th Sep 2026 –  Salience Clinical, LLC, a clinical development and regulatory advisory consultancy, today announced the launch of the Salience Signal-to-Gestalt (S2G) Framework. The methodology addresses a major industry pain point: clinical programs produce massive amounts of digital biomarkers, sensor data, and real-world evidence (RWE) that create an unmanageable flood of false signals using conventional statistical tools, while opaque machine learning algorithms fail to provide regulators the biological plausibility and audit trail they demand.

This problem is addressed by the S2G Framework, which employs a four-tier, Human-in-the-Loop (HITL) pipeline connecting computational screening directly to senior physician judgment:

  • Tier 1 – Multi-Source Ingestion & Harmonization: Pulls together high-entropy datasets including clinical trial safety databases, EHRs, continuous sensor streams, and biomarker panels normalizing data syntax and removing background noise.
  • Tier 2 – Explainable AI & Signal Detection: Uses auditable algorithms aligned with FDA Good Machine Learning Practice (GMLP), cross-center AI credibility assessment frameworks, and lifecycle management standards (including Predetermined Change Control Plans [PCCP] when applicable for digital endpoints and SaMD) to detect real safety clusters and efficacy trends with end-to-end data provenance. 
  • Tier 3 – Mechanistic & Pharmacodynamic Triangulation: Cross-references statistical flags with target pharmacology, receptor binding profiles, and biological pathways to identify true pharmacodynamic effects vs. computational artifacts. 
  • Tier 4 – The Salience Gestalt Synthesis: The output filters transition directly to Denis Katz, M.D., Founder and Medical Director of Salience Clinical. Drawing on senior leadership across clinical neuroscience, advanced biologics, Phase III global trials, and BLA/NDA strategy, Dr. Katz synthesizes disparate findings into a unified clinical gestalt—the integrated benefit-risk assessment, target product profile alignment, and scientific justification needed to meet FDA and Advisory Committee scrutiny. 
     

Caption: Figure 1: The Salience S2G Framework — A four-tier pipeline connecting computational data screening to physician-executive clinical gestalt for FDA dossiers.
 

Preserving Clinical Judgment in an Algorithmic Era

“Sponsors are rightfully hesitant to bring AI-derived claims to health authorities because regulators do not accept black boxes, nor do they approve algorithmic correlations without a validated Context of Use,” said Denis Katz, M.D. “The S2G Framework was built around that reality. We deploy explainable computational filters to isolate signals within high-dimensional noise, but the regulatory deliverable is driven entirely by physician-led mechanistic adjudication and clinical gestalt. Sponsors gain the operational speed of advanced analytics without inheriting regulatory audit vulnerability.” 

Strategic Applications

  • Agency Briefing Packages: Isolating primary therapeutic signals and biomarker-enriched responder cohorts for Type B, Pre-IND, and Pre-BLA/NDA briefing documents. 
  • Safety Signal Adjudication: Distinguishing drug-related adverse events from disease progression and background noise to prevent unmerited clinical holds or excessive post-market warnings. 
  • Digital Endpoints and SaMD: Structuring continuous physiological data and software-as-a-medical-device metrics into defensible clinical validation dossiers that meet CDER, CBER, and CDRH standards. 

The S2G Framework is immediately available for active client engagements across biotechnology, pharmaceuticals, and medical devices. Sponsors preparing for upcoming agency interactions can contact Salience Clinical for a confidential regulatory readiness consultation. 

About Salience Clinical, LLC

Salience Clinical, LLC is a focused consulting firm for clinical development, founded by Denis Katz, M.D. Salience helps biopharmaceutical and medical device sponsors with trial design, translational biomarker implementation, safety signal assessment, and critical FDA interactions. Visit salienceclinical.com to learn more.

Media Contact

Organization: Salience Clinical, LLC

Contact Person: Denis Katz, M.D.

Website: https://salienceclinical.com/

Email: Send Email

City: PRINCETON

State: N.J.

Country: United States

Release id: 49085

The post Salience Clinical Introduces S2G Framework Pairing AI Screening with Physician-Executive GestaltSubmissions 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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Liberty Partners Wealth Management Launches First VIP Program with Data Analytics

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8 minutes ago

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September 15, 2026

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Liberty Partners Wealth Management has launched its first VIP membership program, integrating professional research with its MegaOS analytical system to support core investors.

New York, United States, 15th Sep 2026 – Liberty Partners Wealth Management has officially launched its first VIP membership recruitment program, marking a deliberate step in the firm’s ongoing strategy to expand its specialized investor service infrastructure. Designed specifically to support core community participants, the program combines the firm’s multidisciplinary research capabilities with its MegaOS intelligent analysis system to provide members with structured market information and research support.

The introduction of the VIP membership framework comes at a time when financial institutions globally are accelerating the adoption of data analytics and computational tools within market research. As the volume of market information continues to grow, financial institutions are placing greater emphasis on information screening, data processing and research efficiency. Liberty Partners Wealth Management said the combination of professional research capabilities and technology-supported analysis is intended to improve information-processing efficiency within its member services.

MegaOS Enhances Data Analytics and Research Processing

As a core technical component of this service initiative, the technology division at Liberty Partners Wealth Management is actively incorporating the MegaOS intelligent analysis system into daily research workflows. The software platform assists analysts by organizing, categorizing, and processing extensive volumes of publicly available financial and corporate information.

The system assists researchers in organizing information from publicly available sources, including corporate disclosures, industry developments, market conditions and macroeconomic policy updates. By supporting information organization and preliminary analysis, MegaOS allows researchers to spend more time evaluating the context and relevance of the information reviewed.

Company representatives emphasized that MegaOS functions strictly as a technology support tool designed to improve data processing speed and assist researchers in identifying notable market developments that warrant deeper qualitative examination. The system forms part of the technology support used within the VIP service framework.

VIP Program Focuses on Structured Investor Support

In contrast to prior operational phases that emphasized broader brand awareness and general audience engagement, the current VIP recruitment program centers specifically on delivering structured analytical resource allocations to core participants. Under the current service framework, VIP members will have access to market updates, industry research, monitoring of selected companies and MegaOS-assisted analysis. The scope and frequency of these services may be adjusted based on the firm’s research capacity and changing market conditions.

The specific composition of research deliverables will be periodically evaluated and adjusted to reflect changing macroeconomic conditions and evolving member requirements. By placing the VIP program at the forefront of its operational agenda, Liberty Partners Wealth Management is strengthening its commitment to providing structured research and information resources for participating members.

The firm indicated that as financial market environments become increasingly intricate, combining qualitative institutional research with automated data analytics will remain a long-term priority in refining its broader investor management framework.

Industry Focus on Technology-Enabled Wealth Analytics

The use of artificial intelligence and data analytics in financial research has received increasing attention across the asset management and wealth management industries.

Liberty Partners Wealth Management’s integration of MegaOS into its service model reflects a broader industry movement toward technology-assisted decision support structures.The launch of the VIP membership program represents the firm’s latest effort to incorporate technology-supported research into its member service framework.

Enrollment for the initial cohort of VIP members is currently underway. According to the firm, onboarding will be managed in phases based on service capacity and operational requirements.

About Liberty Partners Wealth Management

Liberty Partners Wealth Management is a wealth management and financial research firm based in New York. The firm focuses on combining professional investment expertise with technological infrastructure to deliver structured research and asset management services.

Media Contact

Organization: Liberty Partners Wealth Management

Contact Person: Henry Johnny

Website: https://lpwykj.com

Email: Send Email

State: New York

Country: United States

Release id: 49136

The post Liberty Partners Wealth Management Launches First VIP Program with Data Analytics 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

Guggenheim Introduces AI-Powered Financial Analytics System in Indonesia Under Prof. Wong Woon Thiam

Published

23 minutes ago

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September 15, 2026

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Guggenheim deploys an AI-assisted financial analytics infrastructure in Indonesia under the guidance of Prof. Wong Woon Thiam, focusing on multi-asset risk monitoring and predictive market research.

United States, 15th Sep 2026 – Guggenheim has formally introduced an advanced artificial intelligence-driven financial analytical system in Indonesia as part of its ongoing operational infrastructure expansion across Southeast Asia. Overseen by financial scholar and regional operational advisor Prof. Wong Woon Thiam, the technological deployment incorporates machine learning algorithms, natural language processing for regional data ingestion, predictive market modeling, and real-time risk evaluation protocols. 

The system is engineered to assist institutional participants, risk managers, and investment professionals in processing complex market datasets, evaluating macroeconomic trends across Emerging Asian asset classes, and maintaining quantitative risk governance standards.

Operational Scope of AI Analytics in Regional Capital Markets

The rapid evolution of Southeast Asian financial markets has generated vast volumes of structured and unstructured market data, creating both opportunities and analytical challenges for institutional investors. Within Indonesia, domestic economic activity, cross-border trade dynamics, and currency fluctuations require continuous monitoring to maintain operational efficiency. Guggenheim’s AI-driven platform addresses these requirements by deploying localized data ingestion pipelines designed to evaluate real-time financial metrics with high processing efficiency.

Rather than functioning as an autonomous trading mechanism, the system serves as a quantitative research and analytical overlay. It aggregates real-time market feeds, macroeconomic indicators, and institutional order flows, transforming disparate data streams into structured analytical insights that assist portfolio management teams in evaluating market liquidity and sector exposure.

Integration of Predictive Research and Natural Language Processing

A core capability of the technological rollout is the integration of custom-trained natural language processing (NLP) models capable of parsing financial documentation in both Bahasa Indonesia and international business languages. The system continuously analyzes regional economic releases, regulatory announcements, corporate disclosure filings, and market news to extract relevant macroeconomic signals and sector-specific indicators.

By converting qualitative information into quantitative variables, the predictive research module assists analysts in identifying early shifts in market sentiment and sector volatility. These analytical capabilities enable risk management teams to evaluate potential stress scenarios across regional fixed-income, equity, and currency markets with direct, data-supported precision.

Real-Time Risk Monitoring and Multi-Asset Portfolio Governance

In institutional asset management, active risk monitoring is vital to maintaining capital stability during periods of market volatility. The upgraded financial system incorporates automated risk tracking protocols that continuously monitor portfolio parameters against pre-established tolerance limits and regulatory guidelines.

The risk analytics framework supports the monitoring of multi-asset exposures, liquidity conditions and changing market risks across ASEAN markets. If localized market anomalies or elevated volatility levels are detected, the system generates structured risk reports for portfolio managers, enabling timely and disciplined adjustments to exposure levels in full alignment with international risk governance benchmarks.

Methodological Insights from Prof. Wong Woon Thiam

Under the academic and quantitative guidance of Prof. Wong Woon Thiam, the deployment emphasizes empirical validation, mathematical rigor, and strict operational oversight. Prof. Wong’s research background in financial economics and quantitative modeling has informed the calibration of the underlying analytical algorithms, ensuring that technology serves to enhance, rather than replace, human expertise.

“Artificial intelligence in asset management functions as a quantitative complement to human judgment and analytical rigor,” stated Prof. Wong Woon Thiam during a seminar on financial technology in Jakarta. “By applying rigorous mathematical validation models to real-time market datasets, our objective is to provide institutional participants in Indonesia with clear, data-driven insights that support prudent risk management and long-term operational stability.”

Long-Term Strategy for Regional Financial Technology Development

The deployment of AI-driven financial analytics in Jakarta represents a key milestone in Guggenheim’s multi-phase strategy to strengthen regional capital market infrastructure across Southeast Asia. 

Through continuous investment in advanced analytics, local technical talent, and robust governance frameworks, the firm remains committed to fostering financial innovation, market transparency, and sustainable institutional growth in Indonesia and the wider ASEAN economic corridor.

About Guggenheim

Guggenheim is a global financial services firm engaged in asset management, investment banking, and capital market services. The firm provides institutional investors, corporations, and high-net-worth clients with disciplined investment strategies, comprehensive market research, and tailored financial solutions. Guided by principles of analytical rigor, risk management, and client-centric service, Guggenheim operates across major global financial centers to deliver long-term value and institutional stability. 

Media Contact

Organization: Guggenheim

Contact Person: Henry Johnny

Website: https://www.guggenheimpartners.com/

Email: Send Email

Country: United States

Release id: 49082

The post Guggenheim Introduces AI-Powered Financial Analytics System in Indonesia Under Prof. Wong Woon Thiam 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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