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Explore data methodologies, research frameworks, and market insights across projects, fundraising, people, exchanges, and tokenized assets—helping you discover, verify, and better understand tokenized-asset information.

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Tokenized AssetsArticle

Which traditional assets have been tokenized? A comprehensive overview of the on-chain stock world.

"What traditional assets are already on-chain?" — This is the first question that every researcher entering this field must answer, but the complete answer is not found in the popular rankings: beyond the leading assets, there are also a large number of long-tail assets covering sectors such as technology, finance, consumption, and healthcare. Clarifying the asset universe provides a reliable sample framework for all subsequent research.

FFlowie
5 min
Tokenized AssetsArticle

What is the market size of tokenized assets? How to distinguish between different metrics?

The opening question of the RWA industry report is "How big is this market?" However, the market size of tokenized assets is precisely the figure that is most prone to inconsistent definitions: issuance volume, TVL, AUM, and transaction volume each answer different questions. Mixing or solely using any one of these can lead to distorted conclusions. This article breaks down several commonly used metrics for easier reference according to research questions.

FFlowie
5 min
Tokenized AssetsArticle

Which exchanges have issued this stock token asset? Where is it custodied? How can I check?

The on-chain tokens of the same stock often have more than one version—versions issued by exchanges and those by professional issuers, each running on different chains with different custody arrangements. Whether researching this asset, understanding its structural information, or simply wanting to find out "who is behind this version," the first step is the same: to find out its issuer and custody information.

FFlowie
5 min
Tokenized AssetsArticle

Which tokenized sectors are heating up? The ratio of rising to falling tokens is more honest than the rise of a single token.

"The tokenization of AI concept assets and the return of funds" — the value of such trend judgments is far greater than the movements of a single underlying asset, but it requires evidence at the sector level. How can we prove that a sector is heating up? A significant rise in a leading token is not enough; the proportion of rising assets within the sector is a more honest metric. The asset label map of the tokenized asset dashboard, which categorizes asset quantity and price fluctuation distribution across more than 20 sectors such as growth stocks, large-cap stocks, AI, and semiconductors, serves as a tool for making this judgment.

FFlowie
5 min
Tokenized AssetsArticle

What is the market share of tokenized assets for each cryptocurrency exchange? How can I check this?

When researching the "tokenized asset business landscape," the market share of various exchanges is the most commonly cited figure—however, share is just one dimension describing trading activity and does not equate to business quality. The TradFi market share view of the tokenized asset sector supports switching among four metrics: 24H trading volume, contract open interest (OI), depth, and number of assets. A complete landscape study typically also combines depth, positions, and the directional changes of share over time.

FFlowie
5 min
Tokenized AssetsArticle

How can I find data to check the latest trading status of a tokenized asset on various exchanges?

When analyzing a single asset (for example, "a certain tech stock token's unusual movement this week"), the most important questions to answer are: how is it trading across various exchanges, and what price changes have occurred? The same tokenized asset may be traded simultaneously on multiple exchanges, each with different prices, depths, and fees—obtaining a complete cross-market picture requires a complete data chain, not just a single market number. The details page of the tokenized asset dashboard breaks this data chain into five modules, which can be traversed in a fixed order to complete the evidence collection.

FFlowie
5 min
Tokenized AssetsArticle

What are the market trading trends of tokenized assets? A cross-analysis of three rankings observing price, attention, and trading activity.

The first step in researching tokenized assets is to answer the question, "What has been trading in this market recently?" However, "hot" is ambiguous: assets that have risen significantly may not necessarily attract attention, and those that are highly regarded may not be experiencing volume. The tokenized asset dashboard provides both a hot TradFi leaderboard (based on 24H price changes) and a most-viewed leaderboard (based on user interest), along with a trading volume dimension. By cross-referencing these three leaderboards, one can observe the trading trends in the market more comprehensively.

FFlowie
5 min
Tokenized AssetsArticle

When quoting the price of tokenized assets to institutional clients, how should the data source be selected?

The requirements for institutional pricing and proprietary trading data are completely different: if proprietary trading incurs losses, it's their own issue, but if the pricing is wrong, they have to face inquiries from clients. When providing reference prices for tokenized assets to institutional clients, the core standard is not "how comprehensive the data is," but rather "can it be explained"—when clients ask "where does this price come from, and why is it different from elsewhere," they must be able to answer with fields, timestamps, and sources. This article provides a checklist for data source verification in institutional pricing scenarios.

FFlowie
5 min
Tokenized AssetsArticle

There are several tokenized versions of the same stock. How can we quantify the gap between us and our competitors?

Tokenized stocks represent a rare "same underlying, multiple issuers" market—there may be three or four on-chain versions of the same stock. Issuers can conduct comparative analysis between versions without complex models: by placing the core public data of each version side by side, they can observe differences from five dimensions: scale, activity, price, structure, and trend.

FFlowie
5 min
Tokenized AssetsArticle

Integrating tokenized asset data into the pricing engine: What can the API access, and how to integrate it?

Market makers do not manually monitor the market—market data, depth, and fees must be integrated into the system, to be automatically processed by the pricing engine. The key questions before integration are: Can the data be programmatically obtained? Are the fields sufficient for pricing? Are the latency and quotas acceptable? This article outlines the API integration path for tokenized asset sector data based on the actual needs of the market-making system. (Specific interface fields, quotas, and pricing are subject to the API documentation published on the day of release.) Market makers do not manually monitor the market—market data, depth, and fees must be integrated into the system, to be automatically processed by the pricing engine. The key questions before integration are: Can the data be programmatically obtained? Are the fields sufficient for pricing? Are the latency and quotas acceptable? This article outlines the API integration path for tokenized asset sector data based on the actual needs of the market-making system. (Specific interface fields, quotas, and pricing are subject to the API documentation published on the day of release.)

FFlowie
5 min
Tokenized AssetsArticle

How to integrate tokenized asset market data into your product page?

When the issuer creates product pages (official asset pages, App market sections, documentation sites), market data is a continuous engineering investment: collecting data from multiple exchanges, cleaning and aligning it, and maintaining it over the long term can be costly for small teams. APIs are one of the common solutions—integrating the capabilities of professional data platforms into the product, allowing the team to focus on the product itself. This article outlines the questions that need to be addressed when integrating from the issuer's product scenario. (Specific interfaces, fields, and quotas are subject to the API documentation on the day of release.)

FFlowie
5 min
Tokenized AssetsArticle

How to interpret the on-chain large-position dynamics of tokenized assets?

We’ve gone through trending topics and compared venues, and there is another set of public data worth watching: large on-chain position changes. What makes tokenized assets unique is that large trades on stock derivative contracts leave traces on the blockchain. The on-chain activity module of the tokenized asset dashboard broadcasts these large trades in real time: direction, position size, entry price, leverage, and profit/loss. On-chain large-position data objectively reflects public trading activity and can serve as one dimension for tracking capital flows.

FFlowie
5 min