What industry changes will the "trade-driven DeFi structure" built by Katana bring?

The competition in the crypto market is undergoing a subtle but critical shift: liquidity is no longer the only core resource, and trading itself is beginning to become a source of value. In the past few years, DeFi projects attracted capital through high subsidies, but now, more and more protocols are emphasizing the ability to generate yield from trading—rather than “building scale by bringing in capital.”

This change is worth paying attention to because it touches the underlying logic of DeFi: does protocol growth necessarily depend on ongoing subsidies, or can it create a self-sustaining loop through endogenous trading behavior? Against this backdrop, some projects have started redesigning their structures around derivatives, matching efficiency, and capital utilization, instead of simply expanding TVL.

A series of moves by Katana (KAT) is appearing at this turning point. From its trading product lineup to adjustments in its incentive mechanisms, its path is no longer centered on “how to attract liquidity,” but rather on “how to make trading itself a source of liquidity.” This makes Katana not just a change within a single protocol, but more like a structural experiment.

Key product and mechanism adjustments Katana has pushed recently

Katana’s recent actions are concentrated in two layers: trading capability and incentive mechanisms. First is the push for derivatives trading (Perps). These products naturally have higher trading frequency and stronger fee-generation capacity, making them the core vehicle of a “trading-driven” structure. Compared with spot, derivatives are more likely to form continuous capital inflows and fee accumulation.

At the same time, the spot and lending modules have not been weakened; instead, they are gradually being incorporated into a unified structure. This means that trading is no longer an isolated activity—it becomes linked with the source of funds (lending) and asset allocation (spot), thereby improving overall capital utilization. This combination shifts on-chain trading from a single function to a systemic structure.

On the mechanism side, the incentive approach is also changing. The Points system and the logic of revenue distribution are starting to replace plain liquidity mining, shifting incentives from “providing capital” to “participating in trading and contributing behavior.” This change creates a more direct connection between incentives and protocol revenue.

These adjustments are important because they change the growth path: instead of expanding through external subsidies, the protocol is trying to form a positive feedback loop through internal trading activity. Whether this path succeeds or fails will directly affect the development model of the next stage of DeFi.

Why Katana makes trading—not liquidity—the core

Making trading rather than liquidity the core is, at its essence, a reshuffling of resource priorities. In traditional DeFi, liquidity is seen as the starting point for everything, while trading is merely the “result” of liquidity. But in actual operation, liquidity without demand for trading is often inefficient or even ineffective.

Katana’s choice means: trading demand itself is the fundamental driver of liquidity. When trading frequency and fees are high enough, liquidity will naturally flow in without the need for long-term subsidies. This logic is closer to the growth path of centralized exchanges—attracting capital in reverse by boosting trading activity.

The key to this shift lies in changes to the “source of revenue.” The subsidy-driven model relies on continuous external capital injections, while the trading-driven model relies on fees generated by user behavior. This makes the protocol’s revenue structure more endogenous, and also easier to sustain long term.

However, this choice also implies higher hurdles. A trading-driven model requires the protocol to have stronger matching efficiency, product design, and user experience; otherwise, trading may not scale. Therefore, this path is not a simple replacement—it is a structural upgrade with higher requirements.

Integrating Perps with spot to rework on-chain trading structure

The fusion of Perps and spot is changing the basic shape of on-chain trading. In the past, these two types of markets were usually separate: spot provides price discovery, while derivatives provide leverage and hedging. In the new structure, they begin to integrate around the same liquidity and user ecosystem.

The first change brought by this integration is improved capital efficiency. Users no longer need to switch assets across different protocols; they can complete multiple trading actions in a unified environment. This not only lowers operational costs, but also speeds up overall capital turnover.

The second change is stronger linkage between price and liquidity. When spot and derivatives share part of the liquidity or data sources, price deviations and arbitrage opportunities are compressed, improving market stability. This is an important structural optimization for on-chain trading.

The deeper impact is that trading structure is evolving toward a “comprehensive platform.” A single-function DEX struggles to compete, while protocols that integrate multiple trading formats are more likely to build user stickiness and network effects. This also explains why Perps has become the key focus of current competition.

Katana’s liquidity strategy: from “decentralized incentives” to “centralized allocation”

Katana’s liquidity strategy is shifting from decentralized incentives to centralized allocation. In the traditional model, liquidity is spread across multiple pools and protocols, and balance is maintained through subsidies. While this approach can expand quickly, it often leads to low efficiency and fragmentation problems.

Centralized allocation means liquidity is guided to core trading scenarios instead of being distributed evenly. This enables key markets to have greater depth and lower slippage, thereby improving the trading experience. At its core, this strategy replaces “broad coverage” with “concentrated efficiency.”

This change has a direct impact on how capital is allocated. Capital is no longer deployed based on the size of subsidies; instead, it is allocated according to trading demand and expected returns. This allows liquidity to cluster around real usage scenarios rather than being driven by short-term incentives.

However, centralized strategies also bring new trade-offs. Excessive concentration can increase the system’s dependence on a single market; if trading demand declines, the overall structure may be impacted. Therefore, finding a balance between concentration and decentralization is the key challenge of this strategy.

The changing role of the KAT token in the new structure

In a trading-driven structure, KAT’s role is no longer just an incentive tool; it is gradually moving toward the core of value distribution and governance mechanisms. The token begins to carry a portion of protocol revenue, tying it directly to trading activity.

The key to this change is “value capture.” When the protocol generates steady fees, token holders can share the returns through mechanisms like locking or participation, establishing a clearer value logic. This shifts the token from a “subsidy vehicle” to a “yield rights representative.”

Meanwhile, KAT also participates in the scheduling of liquidity and incentives. Through voting or distribution mechanisms, token holders can influence where resources flow, and to a certain extent participate in structural decision-making. This gives the token stronger governance attributes.

However, this design may also bring centralization risks. When revenue is tied to governance rights, large holders are more likely to accumulate influence, changing how resources are allocated. Therefore, while token mechanisms improve efficiency, they also need to address issues related to the distribution of power.

Constraints and potential risks faced by trading-driven DeFi structures

The primary constraint of a trading-driven structure lies in the sustainability of trading itself. High-frequency trading often depends on market volatility and speculative demand; once the market enters a low-volatility phase, trading volume may drop quickly, affecting the overall revenue structure.

The second risk comes from competition. Derivatives trading is one of the most fiercely contested areas right now, with different protocols continually battling over fees, liquidity, and user experience. In this environment, it is difficult for a single protocol to maintain an advantage long term.

The third constraint is the user structure. Trading-driven models depend more on active traders than on passive capital. This means the user base is narrower and more susceptible to market sentiment, increasing volatility.

In addition, technical and security issues cannot be ignored. High-frequency trading places extremely high demands on system stability; if delays or vulnerabilities occur, risks can be quickly amplified. Therefore, this structure sets higher standards for infrastructure.

Does the Katana model represent a long-term trend?

The trading-driven path represented by Katana does indeed reflect a structural shift that DeFi is going through. As subsidy efficiency declines, the market begins to look for more sustainable ways to grow, and trading-driven offers a possible answer.

However, whether this model becomes a long-term trend still depends on multiple conditions. First, whether trading demand can persist long term; second, whether the protocol has the ability to continuously attract users. These factors determine whether the structure is stable.

At the same time, different paths may coexist for the long run. Liquidity-driven and trading-driven are not completely mutually exclusive; they are more likely to play roles in different scenarios. For example, early-stage projects may still need subsidies, while mature markets rely more on trading.

Therefore, Katana is more like a directional signal rather than the final form. Its significance lies in demonstrating a possible path, not providing a single answer.

Summary

Judging whether a trading-driven model is effective can be approached from three dimensions. First is whether trading volume is endogenous—that is, whether it stems from real demand rather than incentives. Second is whether the fee structure is stable and can cover incentive costs. Third is whether the user base is healthy—whether there is a sustained group of active traders. These three aspects together determine the model’s sustainability and provide a general framework for analyzing similar projects.

FAQ

How is Katana’s trading-driven DeFi structure different from the traditional liquidity mining model?
Katana’s trading-driven DeFi structure centers on trading behavior, generating endogenous yield through fees and funding rates; traditional liquidity mining relies on subsidies to attract capital. The key difference is the source of yield—one from user trading, the other from external incentives.

Why does Katana emphasize trading-driven rather than liquidity-driven?
Because trading can continuously generate fee income, reducing reliance on subsidies. In the current DeFi environment, the trading-driven model is considered more likely to achieve long-term sustainable growth.

What role do Katana’s Perps products play in the trading-driven structure?
Perps are the core revenue source in Katana’s trading-driven DeFi. Due to higher trading frequency and better capital utilization, Perps can generate ongoing fees and funding rates, supporting the entire system.

How does Katana’s liquidity concentration strategy affect capital allocation in DeFi?
By guiding liquidity toward key trading markets through centralized scheduling, it enhances trading depth and reduces slippage, but also shifts how capital is distributed across protocols.

What is the role of the KAT token in Katana’s trading-driven model?
The KAT token increasingly functions in revenue sharing and governance. Its value is linked to the protocol’s trading income, transforming it from an incentive tool into a core component of value capture and resource allocation.