Test your knowledge
From theory to practice: books, courses and labs
Global variables of the application (ADMIN)
Overview
Click a name to open its details page.
Signals, scores and recommendations driven by data
4 groups of indicators (score 0-100, signal S+ / S / B / B+), combined score and recommendation. Click a name to open its details.
Rule-based benchmarks by Next Wealth
Built in Vietnam for global investors, NXW Global Indexes manages and disseminates more than 100,000 indexes across 97 countries, in ten levels of innovation: market benchmarks, size, sector, style, thematic, geographic, smart beta, factor, AI-driven and multi-asset indexes. Each index follows a transparent, rule-based methodology inspired by international standards and serves as the reference for ETFs, structured products, derivatives, systematic strategies and NXW funds. Below, the NXW flagship indexes: click a name to see its details, composition and performance.
Click a name to open its details page.
Innovative Investment Driven by Smart Technology
Next Wealth (NXW) brings together investment expertise and data technology to build funds designed for today's markets. Each strategy is grounded in research, systematic rules and continuous monitoring, so that investment decisions are transparent, disciplined and measurable. Built on the research, index and strategy platforms of the CCPX ecosystem, NXW funds turn large datasets, quantitative models and market intelligence into investment solutions, from index-based portfolios to actively managed and private access strategies.
Click a fund name to open its details page.
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Overview of the NXW projects and platforms
Double-click a cell to change it (the page above updates as you type). kind = title, tagline, byline, intro, platform (code + title + text + link = one card and one node of the diagram), closing, footer, link. active = 0 hides a row. Click Save to keep the changes.
One single access for everything you need to do research
CCPR, the Cloud Computing Platform for Research, is the research hub of the CCPX ecosystem. It brings together large datasets across finance, economics, society, climate and governance — for Vietnam and international markets, with long histories — and the tools to model, test and compute in real time, directly in the cloud.
CCPR serves beginners without coding as well as expert researchers in R and Python: publication screening, curated datasets, models and tests, live execution and replication of published papers, tutoring, a data marketplace and a researcher community.
Its ambition is to cut the research and publication cycle from two or three years to six to twelve months, and to help universities, institutes and companies in Vietnam and abroad raise their research output and international cooperation.
Double-click a cell to change it (the page above updates at once). kind = title, tagline, byline, intro, stat, feature (code = icon name), steps_title, step, para, closing, related_title, related, pdf (link = file in pdf/), footer, category, link, copyright. Line breaks in text = new paragraph / new bullet. active = 0 hides a row. Click Save to keep the changes.
Predict faster, invest smarter
CCPS, the Cloud Computing Platform for Strategies, is the trading-intelligence layer of the CCPX ecosystem. It classifies and ranks investment strategies, computes sentiment indicators and turns data into signals, alerts and back-tested rules.
Investors, brokers and asset managers design strategies without code, test them on long histories and follow them live — from index-review anticipation to volatility, fear-and-greed and order-imbalance strategies.
Every strategy is rule-based and documented, so that results can be checked and improved, and the best ideas can move to CCPI as investable indexes.
From theory to practice, on real data
CCPE is the education and capacity-building platform of the CCPX ecosystem. It brings together the NXW Investment Library, online courses, quizzes and hands-on labs, all connected to the real data and tools of the NXW platforms.
Learners progress from foundations to expert level through six progressive certificates, with real case studies on CCPR, CCPI and CCPS, and a path to real NXW projects through the job-assistance programme.
CCPE also supports universities and companies with modules, guest lectures and in-house training, in English and Vietnamese.
Reading the mood of the market
Prices move on fundamentals, but also on fear and greed. The NXW sentiment indicators measure the mood and behaviour of investors in Vietnam and on world markets, and combine them into a single composite reading.
They track fear and greed, the put/call ratio, market breadth, foreign investor flows — a key driver of the Vietnamese market — and margin debt, which shows how much leverage investors are using.
The indicators feed the CCPS strategies and the PREDICTIONS page; extreme readings often signal turning points, but they are tools to support decisions, not forecasts on their own.
Measuring leadership diversity in listed companies
Global Women CEO follows women chief executives of listed companies around the world, by region, country and sector, and measures how leadership diversity evolves over time.
The project builds on the WOMEN CEO index family created with IFRC for Vietnam in 2013 and later extended to Singapore and the United States: rule-based indexes of companies led by women, with transparent methodologies.
Data, indexes and an annual review help investors, companies and policy makers follow progress and integrate governance diversity into ESG analysis.
Gender balance in the boardroom
Global Women on Boards measures the share of board seats held by women in listed companies worldwide, and how it changes with time, regulation and company size.
The project compares countries and regions, follows targets and quotas, and links board diversity with governance quality — an important part of the G in ESG.
Its data and maps support research, index design and the dialogue between investors and companies on board composition.
ESG data for Vietnamese listed companies
The Vietnam ESG Portal gathers environmental, social and governance information on Vietnamese listed companies, scores them with a transparent methodology and makes the results easy to compare.
It follows company disclosure, highlights strengths and gaps by pillar and sector, and connects Vietnamese practice with international standards.
Investors use it to screen and tilt portfolios, companies to benchmark themselves against peers, and researchers to study ESG in an emerging market.
Learn to invest without risking real money
The Virtual Trading Platform (VTP) lets students and new investors build and manage portfolios with virtual cash on real market prices, and learn from their decisions without financial risk.
Users place orders, follow their positions, compare their performance and risk with a benchmark, and take part in competitions organised with universities and partners.
VTP is used in the CCPE courses and the professional education programme as a practical lab for portfolio management and trading discipline.
This page is protected by a password.
Double-click a cell to change it (the page above updates at once). kind = title, tagline, byline, intro, stat, feature (code = icon name), steps_title, step, para, closing, related_title, related, pdf (link = file in pdf/), footer, category, link, copyright. Line breaks in text = new paragraph / new bullet. active = 0 hides a row. Click Save to keep the changes.
Live prices of indexes, commodities, forex and crypto
Select rows to compare them in the charts below (click to add or remove).
Double-click a cell to edit it, press Enter to confirm. Click rows to select them for deletion. Changes are kept in this page until you click Save.
Simulated data. All figures on this page are simulated examples (demo_fund_report_table_01..13.rds) and do not describe a real fund.
Past performance is not a reliable indicator of future results. The value of investments and the income from them can fall as well as rise, and investors may not get back the amount invested.
Performance is shown net of ongoing charges, in the base currency of the share class, with income reinvested (total return); subscription and redemption fees are not included. Periods longer than one year are annualised.
The risk indicator (SRI, scale 1 to 7) follows the PRIIPs methodology and assumes the product is held for the recommended holding period. Risk statistics are calculated from monthly returns over 3 years.
This document is for information only and does not constitute an offer or a solicitation to buy or sell units of the fund. Please read the prospectus and the key information document before investing.
Candlestick chart with volume, moving averages and Bollinger bands. Weekends are skipped on the axis.
plotly: type = 'candlestick' + subplot() for the volume
Key figures as cards: last value, daily and 1-month change, and a 3-month sparkline.
renderUI() + CSS grid + inline SVG sparklines
Controls on the left, results on the right: every input updates the chart and the table.
sidebarLayout(sidebarPanel(), mainPanel())
One subject, several views: switch between a chart, the data table and statistics.
tabsetPanel(tabPanel(), tabPanel(), ...)
Four charts side by side: performance, allocation, monthly heatmap and risk / return.
fluidRow(column(6, ...), column(6, ...))
Market map: box size = market capitalisation, colour = daily change. Click a sector to zoom in.
plotly: type = 'treemap'
Indicators as gauges, with the change since the previous reading.
plotly: type = 'indicator', mode = 'gauge+number+delta'
World map coloured by value: share of board seats held by women (illustrative values).
plotly: type = 'choropleth' (country ISO-3 codes)
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Editing is protected by a password.
Double-click a cell to edit, Enter to confirm. Select rows to delete them. Nothing is written until you click Save (the previous file is kept as *_backup.rds).
Uploading is protected by a password.
A file with the same name is replaced. Names are cleaned to letters, digits, _ - . only. Then put the file name in the matching table (e.g. CMS > GALLERY, column image).
Knowledge, guides, documents and media
Our books and products, presented: highlights, strengths, contents and video
The complete guide to indexes: what an index is, why indexing works, how to design, build and test an index, the products that track it, how to invest for life and the latest trends — ESG, climate-risk, carbon, commodity, housing, derivatives-based, currency and crypto-asset indexes, factor-weighted smart indexes, and the new generation of indexes in Vietnam — with the NXW toolkit to go from an idea to an investor file in minutes.
Investors hear index numbers every day — the VN-Index, the S&P 500, the Nikkei 225 — yet few can say what is inside them, who decides, or why two “market” indexes can move in opposite directions on the same day. This book opens the box.
It moves step by step, from theory to practice: the foundations and the mathematics of an index, the theory that explains why indexing works, the craft of index design, building and testing an index in Excel and R, the funds and derivatives built on indexes, how to invest with them — in Vietnam, in Asia and worldwide. A new part on the latest trends covers ESG and climate indexes, climate-risk, weather and catastrophe indexes, carbon markets and carbon indexes, the new generation of commodity indexes, housing and real estate indexes, derivatives-based indexes (the VIX, buy-write and covered-call indexes), currency indexes (the US Dollar Index, effective exchange rates), crypto-asset indexes, factor weighting and smart indexes (fundamental, risk-based and multi-factor), and the new generation of indexes in Vietnam after the market upgrade.
Every chapter opens with a question a real investor asks, and closes with key takeaways and a practice lab. Online, the book comes with a glossary, a 20-question quiz and exercises. The last part shows the tools used every day at NXW: the Indexes Observatory and the testing of a new index idea on the CCPI platform.
Ten new chapters take the reader to the frontier of indexing: climate and carbon, commodities and housing, derivatives-based, currency and crypto-asset indexes, factor-weighted smart indexes — and the new generation of indexes in Vietnam.
From exclusions to Paris-aligned benchmarks, transition and impact
Measuring physical climate risk: temperature, weather derivatives, cat bonds and climate-risk scores
Pricing emissions: compliance and voluntary markets, carbon credits and the indexes that track them
From the GSCI and BCOM to enhanced roll, risk-premia and energy-transition indexes
House prices, repeat sales, hedonic models, REIT indexes and tokenised property
Volatility indexes, option-strategy indexes and futures-based indexes
The US Dollar Index, trade-weighted exchange rates and FX strategy indexes
Bitcoin benchmarks, market-cap and capped indexes, reference rates and crypto ETFs
Beyond market cap: fundamental, risk-based, factor-tilted and multi-factor indexes — the new generation
Market upgrade, ESG and carbon — the next indexes for Vietnamese investors
Universe, selection, weighting, calculation, rebalancing and maintenance: learn them once, read any index in the world.
Before costs the average active investor earns the market; after costs, the average must earn less.
100 invested for 30 years at 7% grows to 740 with a 0.1% fee — but only 498 with a 1.5% fee.
Eight sheets, five stocks, a dividend, a quarterly rebalance and a 2-for-1 split, step by step.
Weights, shares, divisor, price and total-return levels, performance statistics, unit tests and a Shiny dashboard.
Among 1,000 strategies with no edge, the 10 best back-tests show a Sharpe of 1.22 in sample — only 0.43 out of sample (simulated).
HOSE, HNX and UPCoM, the VN30, foreign-ownership limits, the market upgrade and passive inclusion flows.
Paris-aligned and transition indexes, gender-equality indexes (WOMEN CEO, women on boards), weather and cat bond indexes, carbon markets and carbon indexes, enhanced-roll commodity indexes, house price indexes and REITs, the VIX and buy-write indexes, the US Dollar Index and effective exchange rates, crypto-asset indexes and ETFs, fundamental, risk-based and multi-factor smart indexes, and the next indexes for Vietnam: FTSE upgrade, green taxonomy and the pilot carbon market.
The NXW Indexes Observatory and the path from an index idea to an investor file in minutes with CCPI.
Each idea is explained, then applied: formulas, worked examples, labs and checklists.
Local markets, rules, taxes and examples, alongside the global evidence.
Build indexes yourself in Excel and R, then test ideas on the CCPI cloud platform.
The eight NXW indexes as a full case study: design brief, methodology, calculation and governance.
Simulated data are labelled; biases, overfitting and product traps are shown, not hidden.
All 37 chapters are lessons in EDUCATION, with a glossary, a quiz and exercises.
Energy, metals and agriculture, futures curves and the roll, where returns come from, hedging and commodity indexes — with a focus on Asia and Vietnam. 22 chapters, six parts.
Exchange rates, FX instruments, blockchains and stablecoins, carry and hedging, crypto strategies and indexes, risks and scams. 22 chapters, six parts.
ESG data and ratings, climate risk, taxonomies, strategies, green bonds, ESG indexes and funds, greenwashing — and how ready Vietnam is — plus the Vietnam ESG Portal. 23 chapters, seven parts.
Answers to the most common questions about NXW
Key terms of investing, indexes and markets
Photos and images of NXW events, platforms and projects
Presentations, tours and tutorials
User guides and how-tos for the NXW platforms
Brochures, books, reports and methodologies