Asian equity fundamentals across 15 Asia-Pacific markets — KOSPI, KOSDAQ, TWSE, HKEX (Hang Seng), TSE Japan, China A-Share (Eastmoney), STAR Market, ChiNext, BSE Beijing, Chinese ADRs, NSE India, IDX Indonesia, SET Thailand, Bursa Malaysia, PSE Philippines, HOSE Vietnam — delivered as pay-per-result JSON/CSV at 1-2% the cost of a Bloomberg Terminal seat.
Asia-Pacific equity coverage on the buy-side typically forces a painful trade-off. Option 1: Bloomberg Terminal at $24,000+/year/seat — comprehensive but indiscriminately bundled, with a thousand features your Asia analyst will never use. Option 2: Refinitiv Eikon at $22,000+/year/seat — similar story, similar bundle problem. Option 3: Wind Information at $5,000-15,000/year — best-in-class for in-China mainland coverage, but Chinese-language UI built for in-China brand teams and not optimized for cross-border allocators. Option 4: FactSet Asia or Capital IQ Asia at $15,000+/year/seat — clean APIs but enterprise procurement, multi-quarter sales cycles, and seat caps.
The NexGenData Asia Fundamentals Toolkit is a fifth model: composable per-result pricing, English-tagged JSON/CSV output, every actor billed per record returned, every market a separate composable building block. Cover one market or all 15, run it daily or weekly, plug it into Python or Excel or Looker. Asia-Pacific equity analysts at hedge funds (Lone Pine Asia, Tiger Global EM, Templeton EM), multi-asset allocators rebalancing into Asia, and sell-side EM research desks use this stack as the structured-fundamentals layer underneath whatever their proprietary models look like.
The 15-market Asia fundamentals coverage
| Market | What it covers | Actor | Output fields |
|---|---|---|---|
| South Korea — KOSPI + KOSDAQ | Listed-equity fundamentals + screener for the Korean main board + tech-heavy KOSDAQ | kospi-stock-screener | KOSPI/KOSDAQ ticker, name, sector, market cap, P/E, dividend yield |
| Taiwan — TWSE | Taiwan Stock Exchange listed-equity fundamentals (semiconductor heavyweights, TSMC ecosystem) | twse-stock-screener | TWSE ticker, name, sector, market cap, P/E, dividend yield |
| Hong Kong — HKEX (Hang Seng) | Hang Seng main board fundamentals + screener — China H-shares + Hong Kong locals | hkex-hang-seng-stock-screener | HK ticker, name, sector, market cap, P/E, P/B, dividend yield |
| Japan — TSE | Tokyo Stock Exchange Prime + Standard + Growth segment fundamentals | tse-japan-stock-screener | TSE ticker, name, sector, market cap, P/E, P/B, ROE, dividend yield |
| Mainland China — Eastmoney (A-Share) | Shanghai + Shenzhen main board A-share fundamentals via Eastmoney public data | eastmoney-china-stock-screener | A-share ticker, name, sector, market cap, P/E, P/B, turnover |
| China — STAR Market (SSE) | Shanghai STAR Market (sci-tech innovation board) fundamentals — China’s NASDAQ-style tier | star-market-china-stock-screener | STAR ticker, name, sector, market cap, IPO date, lockup status |
| China — ChiNext (SZSE) | Shenzhen ChiNext growth-board fundamentals — high-growth tech and biotech listings | chinext-china-stock-screener | ChiNext ticker, name, sector, market cap, P/E, growth metrics |
| China — BSE Beijing | Beijing Stock Exchange (small/mid-cap innovation tier) fundamentals | bse-beijing-stock-screener | BSE ticker, name, sector, market cap, P/E, listing date |
| Chinese ADRs (US-listed) | US-listed Chinese ADR fundamentals — Alibaba, JD, Pinduoduo, Baidu, Li Auto et al. | chinese-adrs-stock-screener | ADR ticker, parent name, sector, market cap, ADR ratio, P/E |
| India — NSE | National Stock Exchange of India listed-equity fundamentals + screener | nse-india-stock-screener | NSE ticker, name, sector, market cap, P/E, P/B, dividend yield |
| Indonesia — IDX | Indonesia Stock Exchange (Jakarta) listed-equity fundamentals | idx-indonesia-stock-screener | IDX ticker, name, sector, market cap, P/E, dividend yield |
| Thailand — SET | Stock Exchange of Thailand listed-equity fundamentals | set-thailand-stock-screener | SET ticker, name, sector, market cap, P/E, dividend yield |
| Malaysia — Bursa | Bursa Malaysia listed-equity fundamentals + screener | bursa-malaysia-stock-screener | Bursa ticker, name, sector, market cap, P/E, dividend yield |
| Philippines — PSE | Philippine Stock Exchange listed-equity fundamentals | pse-philippines-stock-screener | PSE ticker, name, sector, market cap, P/E, dividend yield |
| Vietnam — HOSE | Ho Chi Minh City Stock Exchange listed-equity fundamentals | hose-vietnam-stock-screener | HOSE ticker, name, sector, market cap, P/E, P/B, dividend yield |
Why this toolkit beats Bloomberg, Refinitiv, Wind, FactSet, and Capital IQ for Asia
| Feature | NexGenData Asia stack | Bloomberg Terminal | Refinitiv Eikon | Wind Information | FactSet Asia / Capital IQ |
|---|---|---|---|---|---|
| Annual cost — 1 Asia analyst | $300-1,100 (metered) | $24,000+ | $22,000+ | $5,000-15,000 | $15,000+ |
| 15-market Asia coverage | Yes — all 15 | Yes | Yes | China focus + partial APAC | Yes |
| 4 China A-share tiers split (Main / STAR / ChiNext / BSE) | Yes — separate actors | Bundled | Bundled | Yes — native | Bundled |
| SEA-5 coverage (IDX, SET, Bursa, PSE, HOSE) | Yes — all 5 | Yes | Yes | Partial | Yes — premium tier |
| English-tagged JSON/CSV output | Yes — pipeline-ready | Terminal-only / Bloomberg API | Eikon-only / DSWS API | Chinese-tagged | Yes — paid API tier |
| Pay-per-result billing | Yes — no seat cap | Seat license | Seat license | Seat license | Seat license |
| Composable / Python-friendly | Yes — Apify API + webhooks | Bloomberg API (Python ok, expensive) | Eikon API | Closed platform | Yes — enterprise API tier |
| Procurement cycle | Self-serve — 5 minutes | 2-12 weeks | 2-8 weeks | 4-8 weeks | 4-12 weeks |
| Live data freshness | < 60 seconds | Real-time | Real-time | Real-time | Real-time / EOD depending on tier |
7 use cases for Asia-Pacific equity analysts and allocators
1. Cross-market factor screen across all 15 Asia-Pacific exchanges. An EM long/short hedge fund runs a value + quality factor screen daily across all 15 markets in this toolkit. Workflow: scheduled run on each of the 15 screener actors with the same filter (P/E < 15 AND ROE > 12 AND market cap > $500M), output appended to a single Snowflake table, daily refresh of the cross-market factor portfolio. Total cost: ~$80/month for the full 15-market daily refresh. Compare to a Factor.ai enterprise subscription at $3K-5K/month or a Bloomberg PORT seat at $24K/year.
2. Japan small-cap deep-dive for a Tiger-style fundamental fund. A US-based long-only fund hiring its first Japan-focused analyst needs to build a 200-name watchlist of mid-cap TSE Standard + Growth listings within their sector. Workflow: TSE Japan screener with market cap $200M-$2B filter, sector filter on industrials, output to a Google Sheet for triage. The analyst gets a clean 200-name watchlist with ticker, name, sector, market cap, P/E, P/B, ROE in under 10 minutes for ~$2. Compare to a $4K/month FactSet Japan subscription.
3. China A-share + ADR cross-comparison for a hedge fund running A/H + A/ADR pair trades. A long/short fund running A-share / Hang Seng paired trades (A/H discount arbitrage) needs daily fundamentals on both legs. Workflow: Eastmoney China A-share screener + HKEX Hang Seng screener + Chinese ADRs screener, all scheduled daily, output joined on parent-company-name in BigQuery, alert on any cross-listing where the A/H or A/ADR discount-to-NAV exceeds historical 1-stdev bands. Cost: ~$35/month. Compare to a Wind + Bloomberg dual subscription at $30K+/year.
4. India NSE coverage for a multi-asset allocator rebalancing into India. A US pension allocator increasing India allocation needs daily NSE fundamentals on the top 500 names for their internal risk model. Workflow: NSE India screener scheduled daily, top 500 by market cap, output to internal data warehouse, joined to FX-adjusted returns. Cost: ~$15/month. Compare to a Refinitiv India feed at $1,500+/month.
5. SEA-5 emerging-market screen for a frontier-market fund. A frontier/EM fund covering ASEAN-5 (Indonesia, Thailand, Malaysia, Philippines, Vietnam) runs a weekly screen for cheap-and-growing names with market cap $100M-$1B. Workflow: IDX + SET + Bursa + PSE + HOSE screener actors scheduled weekly, output merged into one CSV, ranked by composite value+growth score. Total cost: ~$20/month for full ASEAN-5 coverage. Compare to 5 separate local-provider subscriptions at $1,500-7,500/month combined.
6. Korea-focused fund covering KOSPI + KOSDAQ semiconductor supply chain. A Korea-focused long/short fund tracking the semiconductor supply chain needs daily fundamentals across KOSPI (Samsung Electronics, SK Hynix) and KOSDAQ (smaller chip designers and equipment makers). Workflow: KOSPI screener scheduled daily, KOSDAQ screener scheduled daily, sector filter on semiconductors, output to internal model. Total cost: ~$12/month. Compare to a $1K+/month FactSet Korea seat.
7. Allocator-level Asia rebalance dashboard. A multi-asset allocator at a $5B family office runs a monthly Asia rebalance review covering the 15-market universe. Workflow: monthly run of all 15 screeners, output rolled up into Looker Studio dashboard showing top-10 by market cap per market, sector composition shifts, P/E and dividend-yield distributions per market. Total cost: ~$15/month. Compare to a Capital IQ Asia seat at $15K/year for similar coverage.
Sister actors across the global markets fleet
The Asia Fundamentals Toolkit composes naturally with the global markets and institutional-finance stacks for cross-region allocation workflows:
- Eastmoney China Screener — main-board Shanghai + Shenzhen A-share universe, the workhorse of mainland-China coverage.
- TSE Japan Screener — TSE Prime + Standard + Growth, the bulk of Japan equity coverage.
- HKEX Hang Seng Screener — Hang Seng main board, the cross-border A/H comparison endpoint.
- KOSPI Screener — Korean main board + KOSDAQ, with Samsung/SK Hynix as anchor names.
- NSE India Screener — National Stock Exchange of India, the India allocation primitive.
- LSE UK Screener — pair with global-markets toolkit for UK exposure.
- SEC 13F Holdings Tracker — track which US institutional managers hold which Chinese ADRs.
- Short Interest Tracker — short-interest data on US-listed Chinese ADRs for crowding analysis.
- Analyst Price Targets — sell-side targets on US-listed Asia ADR names.
- Hong Kong Companies Registry — corporate-entity lookup for HK-listed and HK-domiciled names.
Frequently asked questions
Why is this stack better than a Bloomberg Terminal seat for Asia coverage?
A Bloomberg Terminal seat runs $24,000+/year per analyst and bundles a thousand features most Asia-focused funds never use. Refinitiv Eikon is $22,000+/year with a comparable bundle problem. The NexGenData Asia fundamentals toolkit covers the same 15 Asia-Pacific exchanges Bloomberg covers at 1-2% of the cost, billed pay-per-result, with clean JSON/CSV output ready for your Python pipeline or Excel model. You give up Bloomberg’s chat, news, and order-management layers; you gain composable raw fundamentals at the price of a coffee per day per market. The right comparison is not feature-parity — it is cost-per-market-covered for analysts who already have a research workflow and just need the underlying data feed.
How current is the data? Is this live or aged caches?
Live. Every actor pulls fresh fundamentals on every run, directly from each exchange’s public-data surface or its primary disclosure source (KRX for KOSPI/KOSDAQ, TWSE official site for Taiwan, HKEX for Hang Seng, JPX for TSE, Eastmoney for China A-share, NSE/BSE for India, IDX/SET/Bursa/PSE/HOSE for SEA). Typical end-to-end refresh latency from exchange publication to actor output is under 60 seconds. There is no overnight-batch staleness like you get from some EM data resellers, and no 24-48-hour ingestion delay like you see from sell-side data feeds.
Does the China A-share coverage include STAR Market and ChiNext separately?
Yes — they are split intentionally because the buyer profile differs. The Eastmoney China actor covers the main-board Shanghai and Shenzhen A-share universe (~5,000 listings). The STAR Market actor covers the Shanghai sci-tech innovation board (~600 listings, semiconductor + biotech heavy, China’s NASDAQ-equivalent). The ChiNext actor covers the Shenzhen growth board (~1,300 listings, high-growth tech and biotech). The BSE Beijing actor covers the Beijing Stock Exchange small/mid-cap innovation tier (~250 listings). EM funds typically run all four together; sector specialists usually pick one or two.
What about Wind Information — isn’t that the China-data standard?
Wind Information is the in-China gold standard for mainland-China fundamentals and runs roughly $5,000-15,000/year depending on tier and seat count. For a China-focused desk inside China, Wind is hard to beat — the language is native Chinese, the analyst workflow is tuned to mainland conventions, and the disclosure-document coverage is unmatched. The NexGenData stack is not trying to replace Wind for Chinese-domiciled funds. It is built for cross-border allocators and EM desks outside China who want English-tagged JSON/CSV output, pay-per-result pricing, and the four China A-share tiers in one composable pipeline rather than one bundled SaaS subscription. Different buyer.
How does the SEA coverage (Indonesia, Thailand, Malaysia, Philippines, Vietnam) compare to local providers?
Local SEA providers (Bloomberg-licensed redistributors, Refinitiv local feeds, country-specific data houses like Stockbit for Indonesia or SET Smart for Thailand) typically charge $300-1,500/month per market for fundamentals coverage. Multiply that across 5 SEA markets and you are at $1,500-7,500/month just to cover ASEAN-5. The NexGenData SEA actors (IDX, SET, Bursa, PSE, HOSE) deliver the same fundamental fields on the same listed universe at metered pay-per-result rates — a typical SEA-focused EM analyst covering all 5 markets daily runs $30-90/month total. The local providers do bundle in-language news and analyst notes; the NexGenData stack just delivers the structured fundamentals.
Can I use this to build a custom Asia momentum / value / quality screen?
Yes — this is one of the most common use cases. Run each market’s screener actor with your factor filters (P/E < 15 AND ROE > 12 AND market cap > $500M, for example), output to CSV, merge across the 15 markets in pandas, normalize for currency and listing convention, and you have a fully cross-border Asia factor screen in under 10 minutes. Compare to a Factor.ai or AlphaResearch.com enterprise subscription at $1K-5K/month. EM hedge funds (Lone Pine Asia, Tiger Global EM, Templeton Emerging Markets) run exactly this kind of factor screen, just with a $200K+ data budget. This stack delivers the screening primitive at 1-2% of that cost.
What’s the legal / licensing story on redistributing this data?
All actors in this stack pull from publicly accessible exchange surfaces (KRX, TWSE, HKEX, JPX, Eastmoney, NSE, IDX, SET, Bursa, PSE, HOSE) and respect each surface’s published rate limits. The output is for your firm’s internal research, model-building, and discretionary investing — exactly how Bloomberg and Refinitiv subscribers use their feeds. If you intend to redistribute the data as a commercial dataset to third-party customers, talk to a securities-data-licensing lawyer first, because exchange redistribution licensing is jurisdiction-specific and is not bundled with this stack.
How fast can I get started covering all 15 Asia markets?
Sign up for a free Apify account, get $5/month in free credits, and queue the China Eastmoney + TSE Japan + KOSPI + HKEX screeners as your first 4 — together they cover ~75% of Asia-Pacific market cap. You will have 4 CSVs (one per market) with ticker + name + sector + market cap + P/E + dividend yield in under 5 minutes. Layer in the remaining 11 markets at your own pace as your coverage scope expands. Total cost for an analyst running a daily 15-market refresh is typically $25-90/month, billed pay-per-result with no commitment.
Get started
Sign up for a free Apify account at apify.com/nexgendata — $5/month in free credits lets you queue the China Eastmoney + TSE Japan + HKEX + KOSPI screeners as your first 4 markets (about 75% of Asia-Pacific market cap). You will have 4 CSVs with ticker, name, sector, market cap, P/E, and dividend yield in under 5 minutes. Layer in the remaining 11 markets as your coverage scope expands. Pay-per-result means no commitment beyond what you actually use.