MoonFox Alternative Data Redefines China Insights at Neudata Hong Kong Summit: A Triple-Threat of Online, Offline, and Transactional Data

MoonFox Data (JG) presented at the Neudata Hong Kong Summit on April 27, 2026, highlighting its China-focused alternative data platform and layered model for translating local signals into earnings forecasts.

Rhea-AI Summary

MoonFox Data (JG) presented at the Neudata Hong Kong Summit on April 27, 2026, highlighting its China-focused alternative data platform and layered model for translating local signals into earnings forecasts.

MoonFox outlined T+2 online tracking, POI-based offline footfall, transactional payment metrics, and sentiment analysis, claiming coverage of 600+ listed companies and quantitative backtest results used by institutional investors.

Argus Apr 27 session

-0.74% close to close Open Argus

Details

News Market Reaction – JG

On Apr 27, the day this news came out, JG closed 0.74% below the previous close.

Data tracked by StockTitan Argus for the Apr 27 session.

Key Figures

2025 Revenue: RMB374,847 thousand 2025 Net Income: RMB2,574 thousand Shares Outstanding: 79,971,355 common shares +5 more

2025 Revenue

RMB374,847 thousand

Consolidated revenues in 2025 per Form 20-F

2025 Net Income

RMB2,574 thousand

Net income in 2025 after prior-year losses

Shares Outstanding

79,971,355 common shares

As of December 31, 2025, including Class A and B

VIE Revenue Share

85.2% of external revenues

Portion of 2025 revenues from VIE structure

ATM Program Size

US$8,000,000

At-the-market ADS program disclosed in filings

Registered Resale Shares

9,666,666 Class A shares

Registered on Form F-3/F-3A for warrant-related resale

ADS Registered

725,000 ADSs

ADSs representing Class A shares for resale registration

Coverage Universe

600+ listed companies

MoonFox alternative data coverage across HKEX, NYSE/NASDAQ, A-share

Historical Context

5 past events · Latest: Apr 22

5 events

1. Apr 22

   AI platform showcase

   24h Move

   +7.4%

   EngageLab AI-native engagement demoed at NexTech Week Tokyo with live Japan support.

2. Apr 16

   AI solutions expo

   24h Move

   +7.8%

   InnoEX Hong Kong presentation of AI-first EngageLab with omnichannel orchestration features.

3. Apr 14

   Product launch

   24h Move

   +2.0%

   Launch of EngageLab LiveDesk, an AI-enabled customer service and analytics platform.

4. Apr 09

   AI media gateway

   24h Move

   -3.3%

   Introduction of Modellix.ai multimodal AI media gateway for unified model access.

5. Apr 02

   AI case study

   24h Move

   -2.4%

   Tourism × Web3 Summit case study citing 500% efficiency gains using EngageLab + GPTBots.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

DAU, variable interest entity (VIE), PCAOB, HFCAA, +3 more

7 terms

DAU technical

"Layer 1: Attention — Who is looking? (Monitored via DAU, traffic patterns..."

DAU stands for daily active users, the count of distinct people who use a digital product or service at least once each day. Investors watch DAU as a pulse of customer engagement and growth—like foot traffic in a store—because rising daily usage can signal stronger user retention, higher potential revenue from ads or sales, and greater long-term value, while falling DAU may warn of weakening demand.

variable interest entity (VIE) regulatory

"a China-based data and SaaS business operated mainly through a variable interest entity (VIE) structure."

A variable interest entity (VIE) is a company or legal entity that an investor controls and reports in its financial statements not by owning a majority of shares but through contracts or other arrangements that give it economic rights and decision-making power. Investors care because a VIE can expose them to assets, debts and legal risks without traditional ownership—think of it like running someone else’s branch through a power-of-attorney rather than holding the keys, which can affect transparency and value.

PCAOB regulatory

"regulatory risks including HFCAA/PCAOB inspection outcomes, an existing US$8.0M ATM program..."

The PCAOB (Public Company Accounting Oversight Board) is an independent regulator that inspects and enforces rules for the auditors who check public companies’ financial statements. Think of it as a referee for accountants: it sets standards, reviews audit work, and can punish sloppy or dishonest audits. That matters to investors because trustworthy, well-audited financial reports reduce the risk of surprises and help people make better decisions about buying, holding, or selling stocks.

HFCAA regulatory

"regulatory risks including HFCAA/PCAOB inspection outcomes, an existing US$8.0M ATM program..."

The HFCAA is a U.S. law that requires companies listed on U.S. stock exchanges to allow their auditors to be inspected by U.S. regulators; if a company’s auditors can’t be reviewed for several years, the company risks being removed from U.S. markets. For investors, it matters because the law increases transparency and audit oversight—think of it as a safety inspection for a car—while also creating a clear regulatory trigger that can affect a stock’s availability and price if compliance can’t be shown.

ATM program financial

"an existing US$8.0M ATM program, and that ADSs trade on Nasdaq..."

An at-the-market (ATM) program is an arrangement that lets a publicly traded company sell newly issued shares gradually into the open market at prevailing prices, through a designated broker-dealer, instead of raising money in one large offering. It gives the company flexible, lower-cost fundraising; for existing shareholders it matters because each sale adds to the share count, which can dilute their ownership stake.

backtest data technical

"For the quant fund managers in attendance, MoonFox presented hard-hitting backtest data."

Backtest data is the historical price, volume and related market information used to simulate how an investment strategy would have performed in the past. Investors use it like a rehearsal or replay of past market conditions to check whether a trading idea would have made or lost money, how big the swings would have been, and what risks might appear — though past results don’t guarantee future outcomes.

quantitative analysts technical

"engaged with elite hedge funds and quantitative analysts to demonstrate how..."

Quantitative analysts are professionals who use math, statistics and computer code to analyze financial data, build models for pricing assets, assess risk and design trading strategies. They matter to investors because they translate large amounts of market information into concrete signals and rules—like engineers building instruments to measure and tune a machine—so their models influence returns, portfolio risk and how smoothly markets function.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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SHENZHEN, China, April 27, 2026 (GLOBE NEWSWIRE) -- Recently, MoonFox Data showcased its industry-leading capabilities at the Neudata Hong Kong Summit, the premier event for institutional investors seeking a sophisticated edge through alternative data. As a dominant force in China’s data intelligence landscape, MoonFox Data engaged with elite hedge funds and quantitative analysts to demonstrate how high-frequency signals drive superior investment outcomes.

Keynote: Bridging Local Signals and Earnings Alpha

Joken Liu, Product Director at MoonFox Data, delivered a high-impact presentation titled "China-Specific Alternative Data: From Local Signals to Earnings Forecasts." He showcased MoonFox’s unique methodology for transforming granular, "noisy" local signals into predictive indicators that allow investors to anticipate earnings surprises before the official call.

During the keynote, a highly insightful model was presented, revealing how MoonFox transforms fragmented underlying signals into actionable investment decisions:

• Layer 1: Attention — Who is looking? (Monitored via DAU, traffic patterns, and rankings)
• Layer 2: Usage — Who is actually using? (Monitored via session depth, feature adoption, and retention rates)
• Layer 3: Conversion — Who is paying? (Monitored via orders, payments, and revenue proxy metrics)
  
  

"We don't just look at who is downloading an app; we care about who is actually opening their wallets," emphasized Yanghang Liu. This layered model allows investors to pierce through the "traffic bubble" and reach the core of a company’s operational reality.

For the quant fund managers in attendance, MoonFox presented hard-hitting backtest data. Factors constructed from MoonFox alternative data demonstrated exceptional ability to generate excess returns across both A-share and HKEX markets:

MoonFox Alternative Data: A Four-Dimensional Matrix for Full-Spectrum Insights

MoonFox showcased its comprehensive alternative data matrix, designed to penetrate every scenario of the Chinese market. This creates a closed-loop data ecosystem—from online to offline, from intent to transaction, and from behavior to sentiment:

• Online Metrics: Delivering T+2 tracking of App and Mini-program performance (Active Users, Retention, New Users) to forecast MAU and digital growth.
• Offline Metrics: Monitoring Store Footfall, Resident Base, and Store Counts across millions of POIs to provide real-world visibility into sectors like Hotels, EV, and Retail.
• Transactional Metrics: Directly anchoring revenue by tracking Payment Users, Orders, and Payment Rates, allowing for precise GMV and revenue trend monitoring.
• Social & News (Sentiment & Buzz): Tracking Opinion Volume, Engagement, and Sentiment to help investors monitor brand heat and capture market sentiment catalysts that drive stock valuations.

Unmatched Coverage: 600+ Listed Companies

MoonFox now provides deep coverage for over 600 pivotal listed companies across HKEX, NYSE/NASDAQ, and A-share markets, focusing on Internet, Consumer, Manufacturing, and high-growth Unicorns. Our Real-time Operational Factor Monitoring helps investors flag earnings revisions and seize asymmetric opportunities before the market reacts.

The overwhelming response at the Neudata Hong Kong Summit reinforces MoonFox Data’s position as the definitive source for China-specific alternative data. We continue to empower the global investment community with the precision, frequency, and multi-dimensional insights required to capture Alpha.

For access to our full coverage list of 600+ tickers, industry-specific data samples, or detailed quantitative backtesting reports, please contact us.

About MoonFox Data

As a sub-brand of Aurora Mobile (NASDAQ: JG), MoonFox Data is a leading expert in data insights and analysis services across all scenarios. With a comprehensive, stable, secure and compliant mobile big data foundation, as well as professional and precise data analysis technology and AI algorithms, MoonFox Data has launched iAPP, iBrand, iMarketing, Alternative Data and professional research and consulting services of MoonFox Research, aiming to help companies gain insights into market growth and make accurate business decisions.

For Media Inquiries:
Contact: zhouxt@jiguang.cn | Website: https://www.moonfoxglobal.com/

Photos accompanying this announcement are available at

https://www.globenewswire.com/NewsRoom/AttachmentNg/36c8f943-f1d6-4fc9-ae7e-52270f6b5096

https://www.globenewswire.com/NewsRoom/AttachmentNg/7f42befa-34cd-4a29-a380-cd5dad2355d2

https://www.globenewswire.com/NewsRoom/AttachmentNg/69e34d42-59a2-468f-b2db-181e2eaaa8b5

https://www.globenewswire.com/NewsRoom/AttachmentNg/8bf1220e-d19a-4fa5-8058-367e8078f5e3

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did MoonFox Data (JG) present at the Neudata Hong Kong Summit on April 27, 2026?

MoonFox presented a layered alternative-data model linking attention, usage, and conversion into earnings signals. According to MoonFox Data, the talk covered T+2 app tracking, offline footfall, transactional metrics, and sentiment monitoring across 600+ listed companies.

How does MoonFox's three-layer model (attention, usage, conversion) aim to forecast earnings for JG-linked companies?

The model moves from who is looking to who pays, using DAU/traffic, session depth, and payment indicators. According to MoonFox Data, layering these signals helps convert engagement into revenue proxies used in earnings forecasts and backtests.

What types of alternative data does MoonFox (JG) claim to provide for China market coverage?

MoonFox provides online app metrics, offline store footfall, transactional payment data, and social/news sentiment tracking. According to MoonFox Data, these datasets form a four-dimensional matrix for operational visibility across sectors like retail, hotels, EV, and internet.

How many companies does MoonFox Data (JG) report covering and which markets are included?

MoonFox reports coverage of over 600 listed companies across HKEX, NYSE/NASDAQ, and A-share markets. According to MoonFox Data, coverage focuses on internet, consumer, manufacturing, and high-growth unicorns for cross-market analysis.

What time cadence and metrics does MoonFox (JG) use for online tracking to forecast digital growth?

MoonFox uses T+2 tracking for apps and mini-programs, monitoring active users, retention, and new-user trends. According to MoonFox Data, this cadence supports short-term MAU and digital growth forecasting for investors and quant teams.

Does MoonFox (JG) provide backtesting or quantitative evidence for its alternative-data signals?

Yes, MoonFox presented backtest results showing factor performance in A-share and HKEX markets during the summit. According to MoonFox Data, those backtests demonstrated the ability of constructed factors to generate excess returns, as shared with attendees.