In 2026, the capital market will usher in several heavyweight new stars.
In January, the AI model company Z.ai was listed on the Hong Kong Stock Exchange; in July, memory chip giant Changxin Technology entered the Science and Technology Innovation Board; in August, Yushu Technology entered the market with the concept of robots. With the listing of these star companies, the market is flooded with extremely attractive wealth stories: "Changxin Technology 7.1 times", "Ushu Technology 7.3 times" and "Z.ai 25.6 times".
In the hustle and bustle of "the bull market is here", ordinary people can easily get carried away by the huge multiples.
However, when you are preparing to enter the market, what you really need to ask is: Where do these dozens of times of increases come from? In order to cut through the noise and fog of the market, we launched the "Financial Market Analysis Skill" specially designed for public market research.
Tabbit combines a simple conversational interface with Tonghuashun iFinD and primary sources. Every answer presents the conclusion, calculation, and source together, making the reasoning transparent and traceable.
You need to be cautious when entering the market. Financial Market Analysis Skill hopes to create a cooling buffer station that can not only help users obtain more accurate data, but also transform scattered data and complex financial logic into an intelligent investment research center for clear reference.
Financial Market Analysis Skill direct link:
https://go.tabbit.com/skills/finance-cn
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01
Tabbit Skill
Go straight to the pain point: How difficult is it to tell a financial story right?
In today's financial market, information gaps are often not due to lack of information, but because information is over-packaged. Tabbit’s Financial Market Analysis Skill keenly captures the core pain points faced by investors in daily research:
▍First, the "hidden corner" of statistical caliber.
The loudest stories in the market often start from the "issue price". For example, Changxin was oversubscribed 244 times and Z.ai was 1159 times oversubscribed. However, for the vast majority of investors who have not grabbed the initial share, the issue price is just a number that stays on the announcement.
The real starting point for investors in the secondary market to buy is the "opening price on the first day". The highs are consistent, but everyone’s starting point is not the same. If you divide the historical high by the issue price, you will get a tempting myth; if you divide the historical high by the opening price on the first day, you may only be left with a reality of 1.2 times. It takes a lot of effort to peel off these caliber differences manually.
▍Second, the “time misalignment” of event-driven analysis.
When a company releases a new product or financial report, how will the stock price react?
This kind of event-driven research is extremely error-prone in practice. For example, companies often make announcements at night or during non-trading hours. If we simply compare the stock prices on the "release date", serious data misalignment will occur. Aligning the natural calendar with the trading calendar, excluding holidays, and finding the true "effective starting date" is one of the extremely cumbersome difficulties in traditional manual review.
/ 02 Tabbit Skill Hardcore Teardown: How does Tabbit reshape the investment research workflow?
Tabbit Financial Market Analysis Skill does not stop at simple data transfer, but embeds professional financial logic into every aspect of data processing. It attempts to solve the above pain points through the underlying support of "official disclosure + top-level database".
Take the complex query "Which GLM version has the strongest performance in the following three trading days after the release of it?" as an example. Tabbit's logical disassembly process is as follows:
→ First of all, the system will automatically lock the target object, accurately identify all valid release events after the listing of Z.ai (2513.HK), and automatically eliminate invalid data before the listing.
→ It then performs the extremely critical date verification and alignment. By checking the official development documents and release time one by one, Tabbit automatically postpones the release nodes at night or during non-trading periods to the next "effective trading day" to accurately capture the event window.
→ Next, the tool directly calls the authoritative market data of Tonghuashun iFinD database, reads the range price, and extracts the closing price on the effective starting date and the third subsequent trading day.
→ Finally, it performs recalculation with a unified caliber to avoid confusion among different versions of starting calculation standards.
Until a complete report is finally delivered that includes core conclusions, complete rankings (such as GLM-5 ranking first with a surge of 80.35% after its release), price change paths, and data sources.
/ 03 Tabbit Skill Audience Targeting: Which groups is this tool suitable for?
Thanks to its in-depth analysis capabilities and minimalist interaction logic, Tabbit Financial Market Analysis Skill can meet the needs of people with different professional depths:
▍Individual investors:
Faced with the overwhelming number of brokerage research reports and financial self-media, individual investors often have difficulty identifying the authenticity of the data. This tool can serve as a relatively objective "fact checker." When you hear that a certain stock "rose sharply due to a certain event," you can directly ask Tabbit to pull the historical sequence and attribution analysis to see whether the rise or fall is an independent trend of the company itself, or whether it is just following the trend of the sector, so as to avoid blindly following the trend.
▍Financial researchers and analysts:
For researchers who need to track macro policies, market event transmission, and company financial dynamics over a long period of time, Tabbit has greatly shortened the data collection chain. Whether it is studying hundreds of pages of prospectuses, regulatory inquiry letters, or comparing underlying penetration positions and rates of massive funds and ETFs, it can compress the data cleaning work that originally took hours to just a few minutes.
▍Financial institution practitioners:
In pre-market, post-market or rolling window periods when rapid response to market changes is required, practitioners can use this tool to quickly generate event briefings and quantitative market backtests. It supports multi-entity table comparison and candidate screening, can provide reference information to assist decision-making, and cooperate to generate beautiful web pages, reports or presentations when needed.
/ 04 Tabbit Skill Core Advantages: Comparing other products on the market with complete digital report, copy the following link to go directly:
Financial tools on the market are usually divided into two categories: one is traditional professional financial terminals (such as Huashun and Wind), and the other is general-purpose large language models. Tabbit is unique in that it finds an effective marriage between the two.
▍Compared with traditional financial terminals:
Traditional terminals have richer data, but the threshold for use is higher and often requires cumbersome condition settings and extraction steps. Tabbit introduces natural language interaction. You only need to ask a question like a chat (for example, "How powerful is Changxin's first semi-annual report?"), and it can automatically translate it into professional data retrieval instructions and directly deliver intuitive analysis results.
▍Compared with the general-purpose large language model:
General-purpose AI systems have serious weaknesses in financial research: they may lack authoritative market data, hallucinate prices or financial figures, mishandle price adjustments for corporate actions, or misalign trading days.
Tabbit consolidates the underlying data by accessing authoritative databases such as Tonghuashun iFinD. When the answer is finally handed over to the user, it will provide a complete set of comprehensive results including "core conclusions, calculation steps, and original sources", making every analysis and reasoning clear, transparent, and traceable.
The financial market never lacks stories, but what it lacks is the ability to restore stories to facts. What Tabbit Financial Market Analysis Skill can do is not to make investment decisions for users, but to try its best to make every decision well-documented and traceable. In this era of noise, staying rational is itself an excess benefit.
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