Friday, August 28, 2026

Beyond Profit: IFTC Introduces Structured Approach to Measuring Trading Performance

 

Table

IFTC officials and industry representatives gather on stage during the official inauguration, marking the introduction of a structured framework for transparent and risk-adjusted trading performance evaluation.


KUALA LUMPUR, Aug 28 (Bernama) -- As financial trading becomes increasingly visible across digital platforms and online communities, the International Financial Trading Championship (IFTC) believes one fundamental question remains — how should trading performance be measured fairly?
 
A trader may show strong returns or a profitable account, but without understanding the level of risk undertaken, drawdown experienced and consistency of performance, headline returns alone may provide an incomplete picture of trading capability.
 
Building on its record recognition at the Malaysia, ASEAN and Asia levels, IFTC is seeking to address this challenge through a more structured approach to performance measurement.
 
Operating under the institutional governance of the International Financial Consultant Certified Institute (IFCCI), IFTC places measurable performance, risk discipline, transparency and consistent evaluation at the centre of its competition philosophy.
 
From Performance Claims to Measurable Evidence
 
The growth of online trading communities has made it easier than ever for traders to share results. However, performance is frequently communicated through screenshots, percentage returns or selected trading results, while the risks taken to achieve those results may receive less attention.
 
Two traders may generate similar returns while assuming significantly different levels of risk. Likewise, a high short-term return does not necessarily demonstrate whether a trader can maintain discipline and manage risk over a meaningful period.
 
IFCCI President Prof. Dato’ Dr. Kingston Chang said profitability remains important, but it should not be viewed in isolation.
 
“Profit is important, but profit is only one part of the story.
 
“If two traders generate the same return but one assumes significantly greater risk or experiences substantially higher drawdown, their performance should not necessarily be viewed in the same way.
 
“The industry needs a more balanced way of understanding trading capability — one that considers not only what was achieved, but also how it was achieved,” Chang said.
 
Introducing the Trader Performance Index
 
At the centre of IFTC’s approach is the Trader Performance Index (TPI), a performance measurement framework designed to evaluate trading results with greater consideration of risk.
 
Rather than ranking traders purely by absolute profit or percentage return, TPI considers the relationship between return and drawdown, providing a more balanced representation of trading performance.
 
The principle is straightforward: generating returns matters, but the amount of risk taken to generate those returns matters as well.
 
IFTC said no single measurement can fully define a trader’s ability. Instead, TPI provides a common performance reference that can be applied consistently within the IFTC framework, allowing eligible results to be compared using the same measurement principles.
 
Why a Minimum 30-Day Performance Period Matters
 
Time is another important element of the framework. Under IFTC’s latest structure, an eligible TPI performance record must cover a minimum period of 30 days before it can qualify for recognition within the wider IFTC ranking ecosystem.
 
The requirement is intended to reduce emphasis on isolated short-term results and provide a more meaningful period in which risk management, drawdown and trading behaviour can be observed.
 
IFTC Organising Chairman Kayden Chiew said the intention is to recognise demonstrated performance rather than momentary outcomes.
 
“A trader can have an exceptional day or week, but professional performance should be evaluated over a period that allows both return and risk behaviour to become more visible.
 
“The 30-day requirement provides a common minimum period and encourages participants to consider not only returns, but also how they manage performance throughout the competition,” Chiew said.
 
Same Measurement, Same Opportunity
 
IFTC believes a professional competition should create an environment where performance can speak for itself. Within such an environment, established traders and emerging participants should ultimately be evaluated against the same defined criteria.
 
Personal reputation, social media following or commercial influence should not determine performance ranking. Measurable results should. This philosophy forms part of IFTC’s broader effort to move trading competition from claims towards evidence, and from headline returns towards measurable performance.
 
Transparent rules and consistent competition requirements are intended to provide participants with greater clarity on how their performance is assessed. For IFTC, the purpose of a common performance framework extends beyond identifying winners. It also seeks to encourage a healthier understanding of trading performance, where risk management, discipline and consistency are recognised alongside profitability.
 
Chang said such standards are important to the longer-term professional development of the trading community.
 
“A credible trading ecosystem should not encourage the assumption that the highest return automatically represents the strongest trader.
 
“We want to encourage a culture where performance can be demonstrated, risk can be understood and results can be evaluated under common standards.
 
“From claims to evidence, and from returns to performance — that is the direction we believe professional trading competition should move towards,” he said.
 
Having established record recognition at the Malaysia, ASEAN and Asia levels, IFTC said the next stage of its development will apply these performance principles across a broader competition ecosystem.
 
Further details on how different competitions, industry partners and traders can participate within the IFTC framework will be introduced as part of its next phase.
 

SOURCE: International Financial Trading Championship (IFTC)

Thursday, August 27, 2026

Sapient Intelligence Launches PRAXIST (Beta) to Accelerate a New Era of Autonomous AI-led Research and Development



  • 49 gold-medal outcomes across 75 machine learning competitions from MLE-Bench achieving approximately US$3,000, versus 34 for Claude Code at US$38,000
  • Rocket-landing accuracy reached 100% within 12 hours, demonstrating a proof-of-concept capability at Technology Readiness Level (TRL) 3

SINGAPORE, Aug 28 (Bernama-BUSINESS WIRE) -- Singapore-headquartered artificial general intelligence research company Sapient Intelligence today announced the launch of PRAXIST (Beta), an autonomous AI research and development (R&D) system that takes on complex technical problems and independently tests and validates potential solutions.

While AI has rapidly accelerated productivity in content generation and other well-defined workflows, R&D remains inherently difficult to automate and scale. Breakthroughs require testing multiple hypotheses, learning from successes and failures, and continuously determining which paths to pursue. Organizations must address this all while balancing specialist expertise, time, cost, and infrastructure.

A capacity multiplier

PRAXIST addresses this challenge as an R&D capacity multiplier. Rather than executing a predefined path, it independently explores which technical approach can best achieve a measurable objective. Users define the goal, parameters, and budget; PRAXIST then autonomously experiments and evaluates the strongest solution.

The approach has demonstrated promising results in controlled internal evaluations. On 75 challenging Kaggle competitions from MLE-Bench, a benchmark designed to test how well AI systems tackle complex, real-world machine learning problems across, PRAXIST achieved the highest-level result in 49 competitions at an approximate recorded model cost of US$3,000, compared with 34 highest-level results for Claude Code at approximately US$38,000 under the same evaluation conditions.

“Unlike general coding agents, which are built primarily to execute a specific task, PRAXIST is designed for long-horizon R&D, where the problem-solving approach itself may need to be discovered and adapted,” says William Chen, Co-Founder at Sapient Intelligence. “A conventional research team is ultimately constrained by the number of experiments its researchers can realistically run and evaluate. PRAXIST is designed to provide organizations with the ability to augment their existing teams with additional research capacity, enabling them to explore problems with a breadth and speed that would otherwise require significantly greater specialist resources.”

From autonomous research to cumulative scientific discovery

PRAXIST deploys multiple autonomous research peers to explore approaches in parallel, test hypotheses, investigate failures, and validate promising results. Unlike the tree-like search used by other similar systems, where each candidate inherits from one parent and weaker branches are pruned, PRAXIST uses a generation-layered research graph that preserves what every experiment teaches. This allows later generations to combine valuable mechanisms, evidence, and constraints across different lineages, including failed attempts. Rather than searching for the single best branch, PRAXIST constructs stronger solutions from discoveries made across branches.

Expansion and scale at speed

For organizations with limited AI or machine learning capabilities, PRAXIST can provide an AI research layer alongside existing domain expertise; for sophisticated teams, it can augment existing capabilities and increase the scale and breadth of R&D. A traditional robotics company, for example, can define problems, objectives, and constraints from an engineering perspective while PRAXIST conducts the AI research, experimentation, and validation needed to develop solutions, effectively serving as an in-house AI research team without requiring the company to build one.

Partner engineering results further illustrate this potential. In a partner-provided rocket-landing simulation, PRAXIST improved baseline to 100% within 12 hours, demonstrating a proof-of-concept capability at Technology Readiness Level (TRL) 3. In an industrial robotic SLAM problem, a partner team achieved 9.37cm of accumulated error after several months of development. PRAXIST reduced the error to 5.01cm within three days.

System application

PRAXIST can operate with proprietary data in private or customer-controlled environments, giving organizations greater control over their research infrastructure and sensitive intellectual property.

Initial applications are focused on sectors with intensive R&D requirements or highly measurable or simulatable optimization problems, including AI, engineering and robotics, manufacturing, finance, and health and drug discovery. Over time, Sapient Intelligence aims to extend PRAXIST beyond traditional R&D into broader business optimization, from inventory and sales to logistics and shipping.

“AI has mastered executing what we know. The next frontier is discovering what we don’t,” said Jin Li, Chief Scientist of PRAXIST. “PRAXIST is our first step toward making autonomous discovery a practical capability for organizations tackling complex problems. As we continue to develop the platform, we will look to expand beyond traditional R&D. Our ambition is to give organizations a fundamentally greater capacity to explore what is possible, enabling existing teams to pursue more experiments, approaches, and innovations while keeping human expertise and judgment at the center.”

About Sapient Intelligence

Founded and headquartered in Singapore, Sapient Intelligence is developing a new generation of AI systems that move beyond answering questions and executing predefined tasks to autonomously discover, reason, and optimize across complex problems without predefined solutions. By combining autonomous research systems with novel foundation-model architectures, Sapient Intelligence advances autonomous discovery through deeper reasoning, self-evolving capabilities, greater adaptability, and enhanced interpretability.

At the center of this vision is PRAXIST, the company’s flagship autoresearch system enabling breakthroughs in real-world R&D and business challenges. Sapient is also the creator of the Hierarchical Reasoning Model (HRM), a novel, brain-inspired foundation model architecture designed to enable deep reasoning with substantially greater training efficiency.

With a global team of more than 50 researchers and engineers operating across Singapore, Palo Alto, and Beijing, Sapient brings together experience from leading AI organizations and research institutions. The company connects foundational AI research with demanding applications in finance, healthcare, manufacturing, and logistics, developing original AI systems for enterprises, researchers, and institutions worldwide.

Learn more about PRAXIST here.

View source version on businesswire.com:
https://www.businesswire.com/news/home/20260827080331/en/

Contact

The Hoffman Agency on behalf of Sapient Intelligence
Sapient@hoffman.com

Source : Sapient Intelligence

--BERNAMA

LEARNING TREE INTRODUCES ANTHROPIC'S CLAUDE CERTIFICATION PREPARATION COURSES

KUALA LUMPUR, Aug 28 (Bernama) -- Learning Tree International has announced a new suite of live, instructor-led preparation courses for Anthropic’s Claude certifications, giving organisations a structured path to build role-based Claude expertise across business, developer, and architecture teams.

As organisations move from artificial intelligence (AI) experimentation to enterprise implementation, they need teams that can use AI tools responsibly, securely, and effectively in real business workflows.

In a statement, Learning Tree said Anthropic’s Claude has become a leading enterprise AI solution, recognised for advanced reasoning, large-context analysis, coding support and an emphasis on responsible AI.

Learning Tree’s Claude Certification Preparation courses help organisations develop validated, role-based expertise for business professionals, developers, and architects.

Aligned to Anthropic’s certification portfolio, the programmes combine exam preparation with practical instruction on designing, developing, governing, and operationalising Claude-powered solutions in enterprise environments.

The new courses support preparation for Anthropic’s four current role-based certifications, namely Claude Certified Associate – Foundations, Claude Certified Architect – Foundations, Claude Certified Architect – Professional and Claude Certified Developer – Foundations.

The courses include hands-on labs, enterprise-focused use cases, expert coaching and mock examinations, providing learners with practical experience applying Claude to business challenges while preparing for certification exams.

Learning Tree said Anthropic certification exams are currently available to eligible individuals employed by organisations in the Claude Partner Network, with final exam eligibility determined by Anthropic.

-- BERNAMA

TRM LABS APPOINTS ZIQING ANG TO LEAD APAC POLICY EFFORTS

KUALA LUMPUR, Aug 27 (Bernama) -- TRM Labs (TRM), an artificial intelligence (AI)-focused provider of solutions for combating financial crime and national security threats, has appointed Ziqing Ang as Head of Policy, APAC.

In this role, Ang will work with regulators, policymakers, law enforcement agencies and private institutions across Asia-Pacific (APAC) to strengthen efforts against illicit networks and address emerging threats.

“Ziqing brings deep expertise and experience working across both the public and private sectors, and the credibility to bring regulators and industry together around this work,” said TRM Labs Global Head of Policy, Ari Redbord.

TRM in a statement said APAC is becoming an increasingly important region for digital asset and AI policy as criminal networks use the technologies to operate at greater speed and scale.

The company tracked adjusted crypto crime volume rising from approximately US$123 million in 2020 to over US$103 billion in 2025, while investment scams accounted for 62 per cent of fraud inflows last year. (US$1=RM4.02)

Meanwhile, Ang said APAC is at an important stage in how it regulates technology in the age of AI, and the decisions made over the next few years will shape the safety of the ecosystem.

Ang brings more than a decade of experience spanning policy, financial markets, digital assets and institutional business development. She spent more than eight years at the Monetary Authority of Singapore (MAS), working on financial markets development and reserve management before moving into the digital asset industry.

Ang's appointment reflects TRM's continued investment in APAC and follows last month's appointment of former MAS regulator Claudia Hui as Head of Compliance Advisory, APAC, as part of the company's broader expansion of its policy and compliance presence in the region.

-- BERNAMA

Wednesday, August 26, 2026

NABEP STRENGTHENS SENIOR LEADERSHIP TEAM, LEGAL EXPERTISE WITH NEW APPOINTMENTS

Sara Chouraqui joins NABEP as its General Counsel, bringing decades of legal expertise.



KUALA LUMPUR, Aug 27 (Bernama) -- North American Blue Energy Partners (NABEP), an oil and gas exploration and production company, has appointed Sara Chouraqui as General Counsel, with Elizabeth Collery and Victoria Jacobson joining as Deputy General Counsel.

NABEP in a statement said the appointments significantly strengthen its senior leadership team and legal expertise as the company improves its operations, increases production and develops new strategic and commercial partnerships.

“Sara understands the complex legal and regulatory environment in which global businesses operate and, equally importantly, how a strong legal function can help a business grow, pursue opportunities and build lasting partnerships.

“This expertise will be critical as NABEP enters an important new phase of its development, expanding our operations and establishing new strategic relationships,” said NABEP Chief Executive Officer, Alejandro Betancourt.

Meanwhile, Chouraqui said the company remains committed to operating with integrity, upholding the highest legal and compliance standards and setting a benchmark for responsible leadership in the energy industry in Latin America, adding that she, Collery and Jacobson look forward to bringing their collective experience to support NABEP as it contributes to the revitalisation of the Venezuelan economy.

With her experience navigating complex cross-border legal and regulatory matters, Chouraqui will lead NABEP’s global legal function and advise the company’s leadership on legal, regulatory and corporate priorities, including major transactions and partnerships, governance, compliance and the management of legal and regulatory risk across its operations.

Chouraqui joins NABEP following a distinguished career at the United Kingdom’s Serious Fraud Office (SFO), where she served as Head of a Fraud, Bribery and Corruption division, overseeing some of the office’s most significant international investigations.

NABEP said Collery and Jacobson also held senior positions at the SFO, closely assisting Chouraqui in her work.

-- BERNAMA


Sunday, August 23, 2026

SHAPE MEMORY MEDICAL CLOSES US$10 MLN FINANCING FOR CLINICAL TRIALS

KUALA LUMPUR, Aug 24 (Bernama) -- Shape Memory Medical Inc, a California-based global medical device company, has closed a US$10 million convertible note financing led by new investor August Global Partners (AGP), joined by fellow new investor Taiwania Capital. (US$1=RM4.03)

The financing provides capital to support continued clinical development of the company’s aortic portfolio, including patient follow-up and data collection in the AAA-SHAPE Pivotal Trial, and advancement of the False Lumen Treatment for Prevention of Aortic Growth Using Shape Memory Polymer (FLAGSHIP) feasibility trial.

The company said it is backed by a global syndicate of healthcare investors, including HBM Healthcare Investments (Cayman) Ltd, Earlybird Venture Capital and WexMed II LLC. The financing was also supported by HEAL Venture Lab.

“With enrolment recently completed in our AAA-SHAPE Pivotal Trial and continued progress in FLAGSHIP, we are focused on generating the clinical evidence needed to support the broader adoption of our shape memory polymer technology in aortic applications,” said Shape Memory Medical President and Chief Executive Officer, Ted Ruppel.

He said the company was pleased to welcome AGP and Taiwania Capital as investors and appreciated the continued support of its existing shareholders.

The AAA‑SHAPE Pivotal Trial is evaluating the safety and effectiveness of the IMPEDE‑FX RapidFill Device when used alongside endovascular aneurysm repair (EVAR) to proactively manage the abdominal aortic aneurysm (AAA) sac.

Shape Memory Medical in a statement said the randomised, multicentre study recently completed enrolment and will follow patients for five years.

FLAGSHIP is a first-in-human clinical study evaluating the company’s investigational False Lumen Embolisation (FLE) System for treatment of aortic dissection false lumen. The study is designed to evaluate safety and preliminary signs of efficacy and will follow patients for two years.

AGP is a Singapore-based independent fund management firm investing across healthcare and advanced manufacturing, while Taiwania Capital is a venture capital firm focused on early- to growth-stage companies.

-- BERNAMA

INTERSYSTEMS TO HIGHLIGHT AI-READY HEALTHCARE AT BANGKOK EVENT

 

KUALA LUMPUR, Aug 24 (Bernama) -- InterSystems will bring healthcare leaders from across Asia for InterSystems Asia READY 2026, focusing on how trusted data, interoperability and practical artificial intelligence (AI) can support smarter healthcare delivery and strengthen Thailand's position as a regional medical hub.

The invitation-only event will be held at The Ritz-Carlton, Bangkok, from Aug 31 to Sept 1, bringing together healthcare executives, clinicians, digital health leaders and technology experts to share practical experiences and best practices in connected healthcare.

InterSystems Regional Managing Director, Asia Pacific, Luciano Brustia said Thailand has an opportunity to become a regional leader in connected, intelligent healthcare, but achieving this will depend on trusted data that can move securely and reliably across the healthcare ecosystem.

"Asia READY 2026 will demonstrate how healthcare organisations can move beyond AI experimentation and deliver measurable improvements through practical AI built on interoperable data," he said in a statement.

The global creative data technology provider said the programme will feature keynote presentations by Brustia and InterSystems President Don Woodlock, alongside healthcare leaders from Thailand and across Asia.

The programme will explore practical AI, next-generation electronic health records (EHRs), interoperability and real-world healthcare transformation, with case studies from Thai hospitals including BNH Hospital and Vejthani International Hospital.

The company said healthcare organisations across the region continue to face challenges, including fragmented legacy systems, inconsistent data standards, infrastructure modernisation and workforce readiness, which could hinder the safe and effective adoption of AI.

Key themes will include the integration of AI into EHRs to support clinical decision-making; data management and interoperability across healthcare providers and payers; and the use of real-time data and AI to improve workforce efficiency, hospital operations and patient outcomes.

-- BERNAMA