Big Data & Technology

Harnessing Big Data and Technology for Smarter Finance

IFRC uses big data and technology to turn financial information into real-time intelligence for strategy and investment solutions.

Education & Research

A Knowledge Ecosystem in Finance

IFRC turns financial knowledge into market intelligence through education and research.

Indexing & Investment

Turning Indexes into Investment Strategy

IFRC’s indexes are becoming strategic tools for investors.

• Our CEO
• Our Partners
• Our Strategy

Products That Meet Your Investment Needs

IFRC offers a range of customizable indexes and data-driven solutions across sectors, asset classes and market segments.

• Protective Solutions – “No Loss for Medium and Long term investment”.
• Indexes Market Place – become an index provider.
• Why choose IFRC Vietnam – top results, expert advice, working strategies.

investment solutions

Experience in Delivering Innovative Solutions

IFRC Vietnam is presented as a key player in advanced indexing, built on innovation, data expertise and practical application.

• Data-driven solutions tailored to customers
• Global impact and financial freedom
• Linking research, analytics and real-world application

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Sustainability Index Series

• Women CEO, Women on Boards and Family Business indexes.
• Protective solution combining a passive component (80%) and active protection (20%), aiming for no loss over more than 12 months.
• Indexes Market Place: users with no coding skills can become index providers, and investors can follow them.

Investment FAQ’s

Empowering your Financial Choices globally.

How MSCI quality and classify country?

MSCI reviews world equity markets annually and classifies them as developed, emerging, frontier or standalone, based on economic development, accessibility and investability. Source: www.msci.com

How FTSE quality and classify country?

FTSE classifies markets as Developed, Advanced Emerging, Secondary Emerging or Frontier, reviewed regularly with institutional investors and market authorities. Source: www.lseg.com

What experience do IFRC.VN have in indexing?

CEO Dr. Huu Minh Mai:

• 15+ years in derivatives and index markets (MONEP, MATIF, NYSE-Euronext)
• Designed and managed many indices and products, including derivatives and ETFs
• Created and calculated about 100,000 indices (over 30,000 for Vietnam) with BeQ Holdings
• Uses big data, AI and quantitative finance for risk modelling, portfolio optimisation and volatility-based indexes

How can I become a professional Indexer?

Introduces the course “Mastering Indexing – A Complete Course for Aspiring Indexers”: index concepts and structures, data selection and classification, weighting methods and calculation, performance analysis across sectors, industries and company sizes.

Powering Finance with Data Intelligence

• Big Data & Technology
• Education & Research
• Indexing & Investment

Capital Protection Fund

IFRC’s capital-protection solution aims to limit downside risk in uncertain markets by combining research, diversified asset allocation and continuous risk monitoring. Defensive positioning and disciplined portfolio management aim to preserve wealth while keeping exposure to long-term growth.

VIETNAM ALLSTAR PROTECTIVE FUND

Dynamic Weighting Fund

IFRC’s dynamic weighting solution adjusts portfolio allocations based on economic and market signals. Quantitative analysis and systematic risk assessment increase exposure in favourable conditions and reduce risk in volatile periods, aiming to improve resilience and risk-adjusted returns versus static allocation models.

GLOBAL DYNAMIC ALLOCATION MULTI-ASSETS FUND

Market professionals look beyond price moves to gauge investor psychology, using sentiment indicators and the CBOE Volatility Index (VIX) as contrarian signals.

• Sentiment measures – the Fear & Greed Index, put-call ratios and investor surveys show whether traders are overly optimistic or pessimistic.
• VIX – Wall Street’s “fear gauge”, tracking expected volatility implied by options prices.
• Extreme fear – when sentiment is very negative and the VIX spikes, analysts may see panic selling nearing exhaustion and a possible rebound.
• Extreme optimism – widespread optimism with a very low VIX can signal complacency and higher pullback risk.
• Caveat – neither indicator reliably times the market alone, but their combined extremes are watched as clues to turning points.

Links:

• SENTIMENT INDICATORS
• IMPLIED VOLATILITY
• UTILISATIONS

IFRC Services

IFRC Index Design Service

Lets clients build custom financial indexes using their own rules, asset selection criteria and calculation methods; supports backtesting, performance analysis and configuration of weighting methods, currencies and index versions on IFRC’s cloud platforms.

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IFRC Index Calculation and Dissemination Service

Computes index values using defined methodologies, continuously updated with integrated market data, and distributes results to clients, media and platforms via dashboards, reports and data feeds (real-time or periodic).

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IFRC Customised Index Service

Helps clients design, calculate and manage tailored indexes for investment, research or business needs: defining index rules, backtesting on historical data, performance analysis and ongoing calculation on IFRC’s cloud platforms.

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Powering Finance with Data Intelligence

• Big Data & Technology
• Education & Research
• Indexing & Investment

Inside IFRC’s New Index Creation Process: From Idea to Investment Product

A Data-Driven Approach to Index Innovation

IFRC’s index creation process combines financial research, advanced analytics and cloud computing to turn investment ideas into rules-based indices that can be analysed, replicated and used in financial products. It is supported by IFRC’s Cloud Computing Platform for Investment (CCPI).

Stage 1: Concept Development

Each index starts with a question: what market insight or opportunity should it capture? Concepts include market benchmarks, thematic strategies (ESG, technology, gender diversity) and factor / smart-beta approaches.

Stage 2: Universe Definition and Selection Rules

Defines the eligible pool by geography (Vietnam or global), asset class and criteria such as size and liquidity; universes can span thousands of securities.

Stage 3: Methodology Design

Transparent, rules-based frameworks — the “index methodology blueprint” — covering selection criteria, weighting schemes, rebalancing rules and calculation formulas. Weighting options: capitalisation-weighted, free-float adjusted, equal-weighted, factor-based.

Stage 4: Index Construction and Data Integration

Securities are selected by eligibility rules, weighted and combined into a single index value; big data supports complex designs incl. sentiment indicators and AI-driven approaches.

Stage 5: Backtesting and Performance Analysis

Backtest strategies on historical data in CCPI, compare weighting/selection approaches, review performance and risk metrics.

Stage 6: Deployment and Dissemination

Index levels are calculated continuously and published for investors and institutions — for research, portfolio benchmarking and index-linked products.

Stage 7: Maintenance, Rebalancing, and Evolution

Periodic rebalancing, corporate-action adjustments (dividends, splits) and ongoing updates.

Technology Layer: The Role of CCPI

Rapid index design, integrated analytics and dashboards, and a “no-code” environment that broadens access to index creation.

Conclusion: A Modern Index Factory

A move from static benchmarks to dynamic, customisable, data-driven indices — a platform for testing and launching financial ideas.

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Intelligent Financial Research & Consulting (IFRC) is a Vietnamese financial consultancy founded in 2010, working across financial services, research, education and technology — a multi-service firm for capital markets, investment products and financial analytics, focused on data intelligence for investment decisions.

Index Design Services: The Strategic Engine

Index design underpins investment strategies, financial products and benchmarking. IFRC offers customised index design, calculation and dissemination for investors, institutions and market participants.

What IFRC Does in Index Design

• Developing new indexes by market segment, sector or theme
• Calculating and maintaining index values over time
• Customising methodologies, including weighting and selection rules
• Distributing index data to investors, asset managers and researchers

IFRC is involved in developing and maintaining “tens of thousands of indexes and indicators” across Vietnamese and global markets.

Scale and Scope: A Broad Index Universe

• Market-wide indexes
• Sector and industry classifications
• Size-based categories (large-, mid-, small-cap)
• Thematic and ESG-focused indexes
• Factor-based and smart beta strategies
• AI-driven and sentiment-based indicators

Uses: academic research, financial analysis and valuation, investment benchmarking, index-linked products and funds.

Methodology and Technology

• Rules-based methodologies: transparent, replicable, aligned with international standards
• Weighting models: market capitalisation, free-float adjusted, equal weighting, factor-based
• Cloud-based platform to design, backtest and build indexes without coding

Indexing the Future of Finance

Index design as a strategic capability: large-scale index development, advanced methodology, technology-enabled platforms, integration with investment products.

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The service covers “computing index values based on defined methodologies”, continuously updated with integrated market data. Results are delivered to clients, media and platforms through dashboards, reports and data feeds, for real-time or periodic access.

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IFRC provides services to design, calculate and manage customised financial indexes for specific client needs, as part of the CCPI (Cloud Computing Platform for Investment) ecosystem. Uses: investment products (funds, ETFs, derivatives), research and analysis, performance benchmarking.

Core Customization Capabilities

• Company selection: manual, or rule-based (sector, size, criteria)
• Weighting: market-cap weighted, equal weight, float-adjusted weighted
• Currency: VND, USD, EUR, etc.
• Version: price index or total return index

Custom Index Development Process

1. Index Design – define the universe (stocks, sectors, themes); specify rules, weighting, methodology
2. Back Calculation – apply rules to historical data for backtested performance
3. Index Reporting – performance, risk, benchmark comparisons
4. Production & Monitoring – real-time or periodic calculation, monitoring and adjustment

Types of Custom Indexes Delivered

• Benchmark Indexes – market-level, sector-level, size-based
• Tradable Indexes – for ETFs, derivatives, structured products
• Thematic Indexes – ESG, Women CEO, sector-specific
• Strategy Indexes – signal-based (buy/sell, sentiment)
• Volatility & Sentiment Indexes

Scale and Coverage

• Tens of thousands of indexes calculated globally; thousands covering Vietnam
• Examples: Women CEO Index (Vietnam, ASEAN+4), sector indexes (logistics, energy), custom corporate/group indexes (e.g. Petrolimex)

Client Use Cases (From Your Files)

• No index idea → IFRC proposes a design
• Has an idea → IFRC tests and builds it
• Has an existing index → IFRC calculates or improves it
• Wants to outsource index calculation

Summary

A full-service solution to design, test and operate your own financial index for investment, research or business goals.

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IFRC Products

IFRC Global Indexes

BeQ Global Indexes is the “strategic engine behind BeQ Holdings’ vision” to transform Vietnam into a world-class financial hub, working at the intersection of Big Data, global benchmarking standards and investment analytics.

IFRC Innovatives Indexes

IFRC develops innovative financial indexes that turn complex market data into actionable intelligence for investors, researchers and institutions — beyond traditional benchmarks, using multi-asset and factor-based approaches.

IFRC Courses

Advanced finance education building deep expertise and practical skills, emphasising “application, relevance, and real-world readiness”.

Powering Finance with Data Intelligence

• Big Data & Technology
• Education & Research
• Indexing & Investment

BeQ Global Indexes is the strategic engine behind BeQ Holdings’ goal to transform Vietnam into a world-class financial hub, working at the intersection of Big Data, global benchmarking standards and investment analytics.

IFRC Indexes Develop, Calculate and Maintains about 100,000 indexes and Indicators:

• Forthcoming: predictors, recommendations, strategy alerts and signals — Benchmark & Tradable, and sentiment measures (Fear & Greed, Volatility, Imbalance, …)

IFRC Global Indexes are designed for different purposes:

• Academic research (e.g. CRSP.org)
• Financial analysis (sector comparison, under/over-valuation)
• Investment trends
• Index products and funds

IFRC Global Indexes are classified into 10 levels:

1. Market
2. Size-Based
3. Sector & Industry
4. Style: Growth vs. Value
5. Thematic
6. Geographic
7. Smart Beta & Custom Indexes
8. Factor-Based Indexes
9. AI-Driven & Alternative Data Indexes
10. Multi-Asset / Active Indexes

Cloud Computing Platform for Investment (CCPI) — design, backtest and build a complete set of files for a new index in a few minutes. No Code · No Barriers · Turning Investment Ideas Into Indexes

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IFRC turns financial knowledge into market capability through “advanced education designed to build deep expertise and practical skills”. The education function focuses on:

• Building strong foundations in financial concepts
• Enhancing applied analytical and decision-making skills (source: “Enhing”, “decision’s”)
• Preparing learners to operate effectively in real market environments

The approach emphasises application, relevance and real-world readiness over purely theoretical learning. Some training programmes will be delivered with CRQFT, VIDE and other professional training organisations or universities, combining academic rigour with market-oriented expertise.

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IFRC Projects

IFRC Cloud Computing Platform for Research (CCPR)

Central research hub that aggregates large finance, economics and environmental datasets, with cloud tools for modelling, testing and real-time computation.

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IFRC Cloud Computing Platform for Investment (CCPI)

The ecosystem’s investment engine for designing, calculating, disseminating and adjusting standard and customised indexes and investment products.

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IFRC Cloud Computing Platform for Strategies (CCPS)

A structured, data-driven environment for designing, backtesting and deploying trading strategies, with real-time data and strategy rankings.

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IFRC Cloud Computing Platform for Education (CCPE)

A cloud learning ecosystem where finance, data and technology meet: on-demand courses, live market data and simulations of real market conditions.

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IFRC Virtual Trading Platform (VTP)

Helps traders, investors and future finance professionals build knowledge, skills and confidence through curated learning paths and practice.

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IFRC Financial, Technology, and Data Institute (FTDI)

An emerging institute for finance, technology and data science in Vietnam, combining education, research and industry collaboration to build top talent.

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IFRC Vietnam Women CEO

Index project following Vietnamese listed companies led by women CEOs.

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IFRC Global Women CEO

Index project following listed companies led by women CEOs worldwide.

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IFRC Global Women on Boards

Index project tracking the representation of women on company boards worldwide.

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IFRC EcoSystem CCPX Platforms

CCPX is a cloud-based infrastructure developed by IFRC and partners that brings research, investment and market strategy into one connected environment, streamlining how data is accessed, analysed and turned into financial insight.

CCPR (Cloud Computing Platform for Research)

• Central hub for academic and professional research
• Aggregates large datasets across finance, economics and environmental domains
• Tools for modelling, testing and real-time computation
• Combines big data, open-source models and cloud computing to reduce time and technical barriers

CCPI (Cloud Computing Platform for Investment)

• The ecosystem’s investment engine for creating and managing financial indexes and investment products
• Workflow covering index design, calculation, dissemination and adjustment
• Standardised and customised index solutions
• Outputs distributed via media platforms and data vendors, real-time or end-of-day

CCPS (Cloud Computing Platform for Strategies)

• Trading-intelligence layer focused on market behaviour
• Classifies and ranks investment strategies; integrates sentiment indicators
• Backtesting using data from CCPR
• Collaborative space for traders and analysts to assess performance

CCPE (Education Dimension)

• Reflected in training programmes, academic collaborations and research support (not presented as a standalone module)
• Focus on knowledge transfer and capacity building

Summary

The ecosystem integrates the full financial workflow — data collection and research through investment execution and strategy development — for Vietnamese and global markets, linking academia, industry and technology.

Powering Finance with Data Intelligence

• Big Data & Technology
• Education & Research
• Indexing & Investment

Vietnam’s ESG Data Challenge: Building a Portal for a Sustainable Future

• Context: Vietnam’s growth has raised sustainability expectations from global investors, regulators and trading partners; the country needs reliable, standardised ESG data meeting global standards.
• Gap: ESG awareness is rising but reporting capacity lags. Large listed companies face disclosure rules, while many SMEs lack skills, systems and resources. ESG data is fragmented, hard to compare and often manual.
• Proposal: A national ESG portal as a central hub to collect, standardise and manage sustainability data for investors, regulators, researchers and financial institutions.
• International alignment: Frameworks such as the Global Reporting Initiative (GRI) should guide reporting so firms can benchmark against peers and join global supply chains and capital markets.
• Technology: Digital platforms, automated workflows and analytics to reduce reporting burden and improve accuracy; governance, verification and assurance to build trust.
• SMEs: Targeted support, simplified frameworks and technical assistance.
• Economic case: Growing ESG-linked investment and sustainable finance in Southeast Asia; stronger ESG infrastructure could attract investment and improve access to capital.
• Conclusion: The core problem is “primarily a data and infrastructure issue”, not a lack of business commitment; the portal needs backing from government agencies, regulators, universities, international organisations and the private sector.

A platform serving education, research and investment through a simulated market with no financial risk.

Benefits for Users

• Learn by Doing: practical trading experience in simulated markets without financial risk
• Improve Investment Skills: educational tools, tutorials and trading challenges
• Test and Refine Strategies: portfolio management, backtesting and performance analytics
• Access Advanced Analytics: technical analysis, fundamental analysis and AI-powered insights
• Develop Quantitative and Automated Solutions: APIs and automation to build and test trading models
• Manage Risk More Effectively: risk simulations of market exposure and portfolio behaviour under different scenarios

Benefits for Institutions

• Supports financial education via hands-on learning and curriculum integration
• Supports research and innovation with data, analytics and simulation tools
• Creates a collaborative ecosystem linking students, investors, educators, analysts and developers

In Conclusion

One environment for financial education, investment research, strategy testing and market simulation, combining realistic scenarios, analytics, AI-driven insights and learning resources.

Status: Under construction — 70% (progress bar)

IFRC Vietnam AI Readiness Index Proposal

Vietnam’s AI Ambition: Can the 2030 Vision Become Reality?

The Prime Minister unveiled a national AI masterplan to 2030, aiming to place Vietnam among the “top four ASEAN countries” and the world’s top 50 in AI research, development and application.

Current Position

Oxford AI Readiness Index: Vietnam ranks 76th globally (score 42.944), 6th in ASEAN.

Key 2030 Targets

• Establish 10 reputable AI brands or platforms
• Build 3 national big data centres for high-performance computing
• Strengthen AI adoption across industries and public services

Are These Goals Realistic?

Requires assessing strengths and weaknesses, defining measurable indicators, tracking progress via consistent benchmarking, and comparing with regional and global peers.

Existing AI and Digital Readiness Indexes

Vietnam is included in: Government AI Readiness Index, Global Cities AI Readiness Index, Cisco Digital Readiness Index, Digital Adoption Index, IBM Global AI Adoption Index, Inclusive Internet Index, DESI, DSI, AI Watch Index, AI Hiring Index, Digital Intelligence Index. These focus on specific dimensions and lack a comprehensive view.

Toward a Vietnam AI Development Index (VAIDI)

A holistic, transparent, comparable index combining multiple dimensions.

Proposed Pillars

1. Government & Regulation – vision and strategy; governance, ethics, risk management; digital capacity and regulatory adaptability
2. Data & Infrastructure – computing performance and cost; data availability, quality, representativeness
3. Demographics & Economy – population structure and digital adoption; workforce diversity and skills
4. Technology Ecosystem – investment and market size; innovation and R&D; talent and education; AI labour market; domestic vs. foreign firm balance
5. Business Performance – AI-driven revenue, productivity, efficiency; performance of AI-related companies
6. Adoption & Usage – enterprise and consumer adoption; sectoral implementation (healthcare, finance, manufacturing); AI tools and platforms in use
7. Impact & Outcomes – measurable benefits; social and economic impact; AI trends in media and digital platforms

The Role of COVID-19

The pandemic accelerated AI adoption in manufacturing, e-commerce, healthcare, education and financial services — an opportunity for Vietnam to close the gap.

Building a Robust Measurement Framework

• Data from reliable public, private and survey sources
• Transparent, replicable methodology
• Indicators standardised on a 0–100 scale
• Weighting that evolves through research and validation
• Supports forecasting and policy/investment decisions

Conclusion

Ambitions are bold but achievable, depending on strategic execution, continuous measurement and benchmarking, and investment in talent, infrastructure and innovation. VAIDI could turn ambition into measurable progress.

IFRC Vietnam Digital Economy Readiness Index Proposal

Vietnam Eyes a New Benchmark: A Digital Economy Readiness Index

A proposed national benchmark, the VDERI, to measure real progress rather than stated ambition. Vietnam has advanced in AI, e-commerce and digital services, but no single comprehensive tool tracks its readiness for the next growth phase.

Beyond Infrastructure: Measuring What Matters

Existing indexes focus on infrastructure and connectivity. The proposal uses three questions:

• Readiness: can Vietnam build a digital economy?
• Adoption: is it actively doing so?
• Impact: is it delivering results?

Six Pillars of Digital Readiness

• Digital Infrastructure – 5G rollout, cloud capacity, cybersecurity
• Data and AI Enablement – AI adoption, access to computing power, data governance
• Digital Talent – workforce skills, education, retention of tech talent amid ASEAN competition
• Business Digital Transformation – depth of digital adoption by firms, especially SMEs
• Innovation and Investment – startup ecosystem, venture capital flows, research output
• Economic and Social Impact – productivity gains, job creation, inclusion

A Focus on Speed Not Just Position

A “Momentum Score” tracks how fast each country is improving. “A country can still be ranked sixth in ASEAN but moving twice as fast as its peers.”

Bridging the Digital Divide

A “Digital Gap Index” measures disparities between urban/rural areas, large firms/SMEs and domestic/foreign players.

Real-Time Data for a Real-Time Economy

Real-time signals: demand for AI and tech jobs, startup formation rates, online search and media trends.

A Strategic Tool, Not Just a Ranking

• Government agencies: identify policy gaps and track progress toward 2030 targets
• Investors: locate high-growth sectors
• Businesses: assess market readiness and expansion opportunities

The Road Ahead

Vietnam’s digital economy is among the fastest-growing in Southeast Asia; the challenge is measurable, sustainable and inclusive progress.

Not just how fast Vietnam is moving, but how far it can go.

Vietnam Digital Economy Readiness Index Construction

IFRC Insights

IFRC/BEQ Course: Indexes Investing (2023)

Why index investing has become one of the most popular strategies: broad diversification at low cost, without stock-picking or frequent trading.

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IFRC/BEQ Course: Introduction to Funds

A guide to investment funds, one of the main channels through which money flows across markets, institutions and individuals.

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IFRC Complete Guide to the Process of Creating a New Index

How IFRC turns investment ideas into rules-based indices, combining financial research, advanced analytics and cloud computing on its CCPI platform.

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“Index investing has emerged as one of the most popular strategies for everyday investors.” Buying funds that track benchmarks such as the S&P 500 or NASDAQ 100 gives broad diversification at low cost, without stock-picking or frequent trading.

Supporters say passive index funds often outperform most actively managed funds over time; critics note index investors remain exposed to broad market downturns and sector imbalances. Still, index investing offers a disciplined, transparent route to long-term wealth.

Introduction to Funds (June 2026)

In today’s fast-moving financial world, money rarely sits still. It flows across markets, institutions and individuals, and investment funds are one of the main channels it moves through.

How MSCI quality and classify country?

MSCI Equity Country Classification

MSCI evaluates equity markets around the world each year to classify them as developed, emerging, frontier or standalone, considering economic development, accessibility and investability.

How FTSE quality and classify country?

FTSE Equity Country Classification

FTSE classifies markets as Developed, Advanced Emerging, Secondary Emerging or Frontier, reviewing them regularly with institutional investors and domestic market authorities.

What experience do IFRC.VN have in indexing?

(by admin) Dr. Huu Minh Mai, CEO of IFRC:

• More than 15 years in derivatives and index markets, including MONEP, MATIF and NYSE-Euronext
• Designed and managed many indices and products, including ETFs
• Created and calculated about 100,000 indices, including over 30,000 for Vietnam, with BeQ Holdings
• Company focus: custom index design, financial data analysis, investment strategies
• Uses big data, AI and quantitative finance; specialties in risk modelling, portfolio optimisation and volatility-based indices

How can I become a professional Indexer?

(by admin) Promotes “Mastering Indexing – A Complete Course for Aspiring Indexers” offered through IFRC.VN.

What is the focus of the course?

Index construction principles and methods — how indices are designed, calculated and used to analyse data.

What will participants actually learn?

• Index concepts and structures
• Selecting and classifying data
• Applying weighting methods and calculation techniques
• Analysing performance across sectors, industries and company sizes

The IFRC Databases provide a structured, reliable foundation of financial data for analysis, decision-making and strategic research — covering market indexes, asset classes, sectors and economic indicators, turning raw information into organised, usable datasets.

Key Features

• Comprehensive Coverage: global markets, indexes and financial metrics in one place
• Structured Data: clean, consistent data ready for analysis
• Analytical Support: supports research, modelling and insights
• Timely Updates: reflects current market conditions

Purpose

Helps professionals and investors move from collecting data to interpreting it, for faster and better-informed financial decisions.

Reliable Data. Smarter Decisions

Data Products (Unlinked)

• Indexes Reference
• Indexes Specifications
• Indexes Free for Research
• Indexes Screener
• CCPR Data Reference
• CCPR Data Free for Research
• CCPR ESG Data
• CCPR Data Screener

Powering Finance with Data Intelligence

• Big Data & Technology
• Education & Research
• Indexing & Investment

IFRC publishes index rules, methodology papers and project documents. The document library is being curated; in the meantime, index rulebooks are available from the case studies on the home page, and you can request specific documents through the Contact page.

Contact Information

• Email: contact@ifrc.vn
• Connect Socially: LinkedIn

Need Consultation? Let’s Talk.

IFRC uses big data and technology to turn financial information into real-time intelligence for investment solutions.

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Harnessing Big Data and Technology for Smarter Finance

As markets grow more complex, IFRC positions itself not just as a research firm but as part of a data- and technology-driven financial infrastructure.

From Raw Data to Financial Intelligence

Data is plentiful but insight is scarce; IFRC turns large volumes of financial data into structured, actionable intelligence. Expertise:

• Financial data processing and analysis
• Development of analytical models and systems
• Integrating data into investment tools and platforms

Technology as the Backbone of Indexing and Analytics

IFRC designs indexes and also handles their calculation, maintenance and real-time dissemination. Through its wider ecosystem with BeQ Holdings it contributes to platforms featuring:

• Cloud-based computing infrastructure
• AI-driven analytics and forecasting tools
• Real-time market data processing

Indexes and analytics become continuously updated systems rather than static reports.

Big Data in Investment Strategy

Combining large datasets with quantitative methods supports:

• Pattern recognition across markets and sectors
• Identification of emerging trends and risks
• Data-driven investment strategies

Data becomes predictive, helping investors anticipate market moves.

Building Digital Platforms for Investors

Within the BeQ ecosystem, cloud-based investment systems offer:

• Portfolio screening and benchmarking
• Index tracking and comparison
• Strategy simulation and performance analysis

Bringing institutional-grade insight to a wider range of investors.

Data Meets Financial Product Innovation

Real-time indexes and analytics can underpin:

• Algorithmic investment strategies
• Smart beta and factor-based products
• Structured investment solutions

A Data-Centric Vision for Finance

Finance is shifting from capital toward “data, computation, and intelligence”. Combining advanced analytics, technology infrastructure and financial expertise makes decisions faster, more precise and increasingly automated.

Conclusion

IFRC’s role in big data and technology is growing — helping redefine how markets are understood, not just analysing them.

IFRC turns financial knowledge into market intelligence — education that builds expertise, and research that supports innovation, strategy and practical financial solutions.

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A Knowledge Ecosystem in Finance

• Education develops skills and understanding
• Research produces insight and innovation
• Technology converts both into practical market solutions

The goal is to connect financial knowledge with real-world application in modern capital markets.

From Raw Data to Financial Intelligence

Data is plentiful but insight is scarce; IFRC turns large volumes of financial data into structured, actionable intelligence. Expertise:

• Financial data processing and analysis
• Development of analytical models and systems
• Integrating data into investment tools and platforms

Technology as the Backbone of Indexing and Analytics

IFRC designs indexes and also handles their calculation, maintenance and real-time dissemination. Through its wider ecosystem with BeQ Holdings it contributes to platforms featuring:

• Cloud-based computing infrastructure
• AI-driven analytics and forecasting tools
• Real-time market data processing

Indexes and analytics become continuously updated systems rather than static reports.

Big Data in Investment Strategy

Combining large datasets with quantitative methods supports:

• Pattern recognition across markets and sectors
• Identification of emerging trends and risks
• Data-driven investment strategies

Data becomes predictive, helping investors anticipate market moves.

Building Digital Platforms for Investors

Within the BeQ ecosystem, cloud-based investment systems offer:

• Portfolio screening and benchmarking
• Index tracking and comparison
• Strategy simulation and performance analysis

Bringing institutional-grade insight to a wider range of investors.

Data Meets Financial Product Innovation

Real-time indexes and analytics can underpin:

• Algorithmic investment strategies
• Smart beta and factor-based products
• Structured investment solutions

A Data-Centric Vision for Finance

Finance is shifting from capital toward “data, computation, and intelligence”. Combining advanced analytics, technology infrastructure and financial expertise makes decisions faster, more precise and increasingly automated.

Conclusion

IFRC’s role in big data and technology is growing — helping redefine how markets are understood, not just analysing them.

Powering Finance with Data Intelligence

• Big Data & Technology
• Education & Research
• Indexing & Investment

IFRC is building the infrastructure behind smarter investment decisions — indexes. Its indexing capabilities are becoming “strategic tools for investors”, changing how portfolios are built, analysed and executed.

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Turning Indexes into Investment Strategy

From Raw Data to Financial Intelligence

Data is plentiful but insight is scarce; IFRC turns large volumes of financial data into structured, actionable intelligence. Expertise:

• Financial data processing and analysis
• Development of analytical models and systems
• Integrating data into investment tools and platforms

Technology as the Backbone of Indexing and Analytics

IFRC designs indexes and also handles their calculation, maintenance and real-time dissemination. Through its wider ecosystem with BeQ Holdings it contributes to platforms featuring:

• Cloud-based computing infrastructure
• AI-driven analytics and forecasting tools
• Real-time market data processing

Indexes and analytics become continuously updated systems rather than static reports.

Big Data in Investment Strategy

Combining large datasets with quantitative methods supports:

• Pattern recognition across markets and sectors
• Identification of emerging trends and risks
• Data-driven investment strategies

Data becomes predictive, helping investors anticipate market moves.

Building Digital Platforms for Investors

Within the BeQ ecosystem, cloud-based investment systems offer:

• Portfolio screening and benchmarking
• Index tracking and comparison
• Strategy simulation and performance analysis

Bringing institutional-grade insight to a wider range of investors.

Data Meets Financial Product Innovation

Real-time indexes and analytics can underpin:

• Algorithmic investment strategies
• Smart beta and factor-based products
• Structured investment solutions

A Data-Centric Vision for Finance

Finance is shifting from capital toward “data, computation, and intelligence”. Combining advanced analytics, technology infrastructure and financial expertise makes decisions faster, more precise and increasingly automated.

Conclusion

IFRC’s role in big data and technology is growing — helping redefine how markets are understood, not just analysing them.

Powering Finance with Data Intelligence

• Big Data & Technology
• Education & Research
• Indexing & Investment

In fast-changing markets, “continuous learning is no longer optional—it is essential.” The Virtual Trading Platform helps traders, investors and aspiring finance professionals build knowledge, skills and confidence.

An education platform is a digital environment for courses, lessons and assessments, with progress tracking and personalised learning. The platform (the text names “Blue Titans”) offers a trading-education ecosystem combining theory with practical market insight.

Curated learning pathways cover trading strategies, market analysis, risk management and execution, with multimedia lessons, interactive tools, performance analytics and flexible pacing.

Structured courses, guided practice and feedback turn concepts into practical trading skills, building discipline and better decision-making.

Suitable for beginners and experienced traders — “a bridge between learning and real-world trading success.”

Overview

VFTDI is an emerging institution focused on finance, technology and data science in Vietnam. It supports the shift to a more advanced, data-driven financial ecosystem and the building of high-quality talent, combining education, research and industry collaboration.

Mission and Vision

• Address rising demand for data analysts and data scientists in Vietnam
• Build an internationally standardised financial workforce
• Combine financial expertise with technology and data analytics
• Support Vietnam’s goal of becoming a regional financial and technology hub

Core Focus Areas

1. Finance and Capital Markets

Financial market analysis, modern financial competencies, alignment with international practices.

2. Technology and Innovation

Digital technologies in finance (FinTech), exposure to modern financial systems, integrating innovation into financial services.

3. Data Science and Analytics

Data analysis, statistical modelling, machine learning, data visualisation, large-scale data processing.

Education and Training Approach

• Curriculum covering data science, statistics and financial analysis
• Hands-on projects with real-world datasets
• Applied, industry-relevant skills
• Instructors with professional experience

Industry Collaboration

Partners: businesses, financial institutions, technology companies, research/academic organisations. Benefits: internships, exposure to industry challenges, applied project-based research.

Strategic Role in Vietnam

• Supports digital transformation in the financial sector
• Builds a skilled workforce in data and financial analytics
• Promotes international standards in finance and technology
• Improves competitiveness in the global knowledge economy

Positioning

• Training and research hub for fintech and data science
• Bridge between academia and industry
• Platform for next-generation finance and analytics professionals

Conclusion

A forward-looking initiative preparing Vietnam for a data-driven financial future by combining financial expertise, technological innovation and advanced data science.

Cloud Platform for the Future of Financial Education

IFRC (Intelligent Financial Research & Consulting) aims to change how financial education is designed and delivered through a planned cloud computing platform for education — an integrated learning ecosystem where finance, data and technology meet, not just a digital classroom.

A Digital Campus Without Borders

A centralised, cloud-native environment giving access to financial knowledge anytime, anywhere: on-demand courses and training modules, updates with real-time market data, delivery to thousands of users at once.

Bridging Theory and Market Reality

Applied financial education: live financial datasets and market feeds, interactive tools for portfolio analysis and index tracking, simulations of real market conditions.

Powered by Data and Analytics

Centralised data storage and processing, big data and AI-driven insights, continuous updates to models and course content.

A Platform for Multiple Users

• Students and young professionals learning fundamentals
• Investors and analysts refining strategies
• Institutions and partners needing customised training

Integration with the IFRC Ecosystem

Connects with IFRC’s indexing and investment tools, research outputs and market insights, and data/analytics platforms — a path from learning to analysis to application.

Towards a New Model of Financial Learning

Convergence of education, technology and finance: cloud delivery, real-time financial data, advanced analytics.

Conclusion

Growing market complexity increases demand for practical financial education; the platform reinvents financial learning for the data era.

Successful trading depends on disciplined execution of well-defined strategies rather than guesswork. CCPS is a platform for traders, investors and financial professionals seeking a structured, data-driven approach to global markets.

A trading strategy is a systematic rule set covering entry and exit timing, capital allocation and risk management. The platform (text names “Blue Titans platform”) combines these into one environment for designing, testing and deploying strategies.

It offers market analysis, real-time data and strategy execution tools, including charting and real-time pricing, turning trading ideas into repeatable, rules-based systems.

Users can work with technical indicators, quantitative models or algorithmic strategies to reduce emotional bias and improve decisions using objective criteria.

Suitable for beginners seeking structure and advanced traders building automated systems — a framework for strategy-driven trading, not just a tool.