Over the last year, Aster has transformed from a single-product derivatives venue into a broader trading platform, with aster chain at the core of its new infrastructure strategy.
From Perp DEX challenger to ecosystem builder
Over the past year, Aster has shifted from a standalone perpetual trading product into a dual-focus project centered on trading and infrastructure. Moreover, this evolution has been defined by three clear turning points that reshaped its trajectory.
First, during the rapid rise of the Perp DEX sector, Aster identified the right niche and captured structural opportunities. Trading volume continued to grow, repeatedly posting new highs across onchain perpetual markets and helping the project gain mindshare among derivatives traders.
Second, the project completed its TGE and a full brand upgrade, transitioning from APX to Aster. This was more than a name change. Instead, it reshaped product capabilities, market positioning, and external perception, while the successful TGE boosted awareness and valuation expectations.
Third, the launch of the Aster Chain mainnet marked a decisive move from a single trading product toward a full ecosystem. However, the core ambition went further, aiming to provide a trading infrastructure that blends onchain transparency with optional privacy features tailored to derivatives.
From an outcome perspective, these shifts show more than simple scale expansion. Rather, they reflect a transition from a trading platform into trading native infrastructure built specifically around onchain derivatives trading scenarios.
Decisions under doubt defined the real turning point
These milestones did not emerge from an easy backdrop. For Aster, the key turning point actually came before the brand restructuring and TGE, when uncertainty about the sector dominated internal and external discussions.
At that time, the market narrative largely centered on Hyperliquid, and many believed it would be difficult for any truly competitive challenger to break through in perpetual futures. Consequently, Aster’s TGE was not widely favored, and external valuation expectations stayed conservative for some time.
Internally, the team also debated whether to delay the TGE, as the product still had room for optimization before a full-scale launch. However, they ultimately chose execution speed over waiting for a perfect state, prioritizing real market feedback over theoretical ideal conditions.
In hindsight, this decision proved critical. The TGE significantly exceeded expectations and pushed the market to reassess the value and growth potential of the Perp DEX challenger segment within derivatives.
This experience led the team to a firm conclusion about early-stage markets such as onchain perpetuals. In such environments, there is no standard path or guaranteed optimal playbook, and many industry assumptions only apply once a sector has matured.
Moreover, in truly innovative niches, progress tends to rely on judgment and consistent execution rather than formulaic approaches. There are no shortcuts. What matters most are conviction in the chosen direction and the capacity to execute with focus over time.
Designing Aster L1 around onchain derivatives trading
If the previous phase centered on validating demand through live trading products, the launch of Aster Chain shifted attention to a deeper question: how to redesign infrastructure specifically for onchain derivatives trading from first principles.
From performance, security, and architecture perspectives, the differentiation of Aster L1 extends beyond faster blocks or stronger privacy. Instead, it is purpose-built from inception for onchain derivatives use cases rather than generalized smart contracts.
Compared with many general-purpose L1s, Aster emphasizes balancing trading performance, privacy protection, and verifiability. The goal is to retain user self-custody and onchain verifiability, while offering an execution experience that approaches centralized exchanges in speed and stability.
A core component of this design is a ZK-verifiable encryption scheme combined with a Stealth Address mechanism. For users who enable account privacy, the system generates a one-time address for each transaction, making it difficult to link multiple trades to the same underlying account.
This structure aims to prevent onchain profiling, position tracking, or strategy inference. However, Aster does not simply hide data. Instead, it leverages zero knowledge proofs to ensure that private transactions remain verifiable at the protocol level.
In practice, order details are not exposed onchain, but the trades themselves can still be validated. At the same time, users can selectively disclose and verify their full transaction history via a viewer pass, enabling audits or compliance checks when needed.
The essence of this model is to balance onchain transparency with meaningful trading privacy. Many chains choose either full transparency, making large or strategic accounts easy to track, or strict privacy, which complicates verification and regulatory alignment.
Aster instead targets a specific derivatives problem: preserving onchain settlement, auditability, and verifiability without sacrificing trader confidentiality. For example, hidden orders must always pass ZK verification, and when privacy mode is enabled, internal transfers between users are restricted.
That said, this framework shows that Aster does not pursue absolute anonymity. Rather, it is building controlled and verifiable privacy that can function for professional trading, compliance-conscious institutions, and retail users alike.
Performance tuned to trading rather than generic TPS
Aster’s approach to performance diverges from the usual public-chain narrative of ever-higher TPS numbers. Instead, it is grounded in actual trading behavior and derivatives workflows, where latency and confirmation speed matter more than theoretical throughput.
Aster Chain uses a PoSA consensus mechanism combined with a node aggregation engine and block pre-confirmation. Together, these components target a 50 millisecond block time, throughput up to 100,000 TPS, and a zero-gas experience for trading.
The focus is not on headline metrics alone, but on narrowing the gap between onchain trading and centralized exchange matching. For perpetual contracts and other high-frequency products, low latency, fast confirmation, and stable matching are more critical than broad smart contract flexibility.
Furthermore, Aster did not build a generalized L1 first and then add trading applications on top. Instead, it integrated the trading system directly into the base architecture, treating derivatives as a primary design constraint from day one.
The onchain clearinghouse manages margin balances and position states, ensuring that risk and collateral flow through a unified system. Meanwhile, each perpetual market runs its own independent order book, isolating liquidity while preserving global risk management.
The oracle framework aggregates data from 14 major exchanges to compute a weighted median price. This reference is used for mark prices, funding rate calculations, take-profit and stop-loss triggers, and liquidation decisions across the protocol.
From the beginning, Aster treated perpetual trading, margin management, and clearing logic as core infrastructure components rather than application-layer features. This high performance matching orientation is the key distinction between Aster and many general-purpose L1 chains.
From Perp DEX to L1: a different expansion path
Aster’s shift from Perp DEX to L1 ecosystem did not follow the traditional playbook of launching a chain, then looking for applications, and finally attempting to onboard users. Instead, it built infrastructure on top of already-proven trading demand.
For Aster, the competition is fundamentally about liquidity. For users, the ideal state is not having to care whether the underlying system is a CEX or DEX, as long as execution, pricing, and security remain robust and predictable.
In this sense, users of Aster’s perpetual trading product are already users of Aster Chain. The mainnet went live with an existing user base and revenue stream, rather than hoping to attract traders only after launch, which is a common problem in many infrastructure-first projects.
This path differs from conventional L1 strategies but aligns with a pattern seen in multiple successful projects in this cycle. Moreover, it reflects a preference for validating demand through real trading activity and real users before extending infrastructure upward.
Building on this foundation, Aster’s ecosystem strategy is now centered on constructing a developer-driven trading environment through Aster Code. The initial strategic partners include Binance Web3 Wallet, Trust Wallet, Safepal, Genius Terminal, Polarise, NOFA, Wallet V, ChimpX, and VergeX, which cover several key segments of the derivatives stack.
Aster Code and revenue-sharing trading infrastructure
Aster Code can be viewed as a revenue-sharing, onchain trading infrastructure layer. Its role is not limited to offering open interfaces; it also aims to lower the barrier to building trading products while enabling sustainable business models.
Developers can build their own trading frontends on top of Aster’s infrastructure and earn a share of Builder Fees generated by user activity. Moreover, Aster provides a complete set of APIs and core infrastructure, so teams do not have to develop their own matching engines.
By focusing primarily on front-end UI and user experience, products can launch faster and iterate more rapidly. That said, the system also requires users to explicitly authorize agent permissions and define Builder fee limits before trading, reinforcing transparency and user control.
This structure is complemented by real-time data monitoring, automated recording and settlement of fees, and a withdrawal mechanism that allows earnings to be claimed at any time. Together, these features form a practical aster code revenue model for builders and institutions.
From this angle, Aster’s appeal to developers and trading firms becomes clear. The project is attempting to combine performance, privacy, and monetization tools, enabling external teams to create their own derivatives products rather than merely plugging into another protocol.
Roadmap for the next 12 months
Over the next year, Aster’s direction appears relatively defined. The team has outlined several focus areas, with an emphasis on deepening the existing trading and infrastructure strategy instead of pivoting into unrelated narratives.
Key goals include attracting high-quality trading users, particularly those with privacy needs, professional traders, and institutions. Additionally, Aster plans to expand asset coverage and liquidity depth while scaling the ecosystem through both Aster Code and Aster Chain.
The project also aims to strengthen token utility and governance mechanisms to better align incentives. Furthermore, it will continue refining the trading experience, including UI and UX improvements that matter for active, high-frequency users.
Within the current roadmap, the clearest priority is further development of Aster Code. Its base layer is a high-performance matching and clearing engine, while the upper layer consists of open interfaces and streamlined developer access.
Aster wants to enable developers and institutions to build onchain derivatives products more efficiently while preserving performance, privacy guarantees, and cost competitiveness. However, the team is also exploring adjacent segments where onchain derivative traders naturally overlap.
Two areas stand out: prediction markets and AI-enhanced trading. Prediction market users share behavioral patterns with perpetual traders, creating cross-selling opportunities and similar liquidity profiles that can be leveraged across products.
For a project originating from derivatives, these adjacent sectors offer clear expansion potential. In the AI plus trading space, Aster’s strategy is to provide infrastructure rather than building its own AI models or customer-facing bots directly.
Currently, Aster has already introduced interfaces for AI agents, including Skills and MCP. Developers can use these tools to deploy AI-driven strategies and trading assistants on top of the chain, while the core protocol continues to iterate based on builder feedback.
The broader goal is to make the network not only user-friendly for human traders but also highly attractive for AI agents that demand deterministic execution, clear APIs, and reliable access to derivatives liquidity.
Building through cycles instead of predicting them
Regarding the current market cycle, the Aster team has deliberately avoided making bold predictions. Instead, its stance is that the only consistent way to navigate bull and bear markets is by sustained building and value creation.
Regardless of sentiment, the team believes the path toward the next ATH is rooted in survival, product improvement, and expanding real usage rather than trading macro calls. This philosophy has shaped decisions from TGE timing to infrastructure investments.
Looking back at the past year, Aster’s trajectory illustrates this approach. Rather than chasing fully validated narratives, the project operated in a competitive segment where consensus had not yet settled, using live products to test demand before widening its scope.
In hindsight, the sequence from trading volume growth to the TGE and brand upgrade, followed by the Aster Chain mainnet launch, represents more than feature expansion. It reflects the construction of a path from Perp DEX to full trading-native infrastructure.
Today, the core question is no longer limited to how to build a stronger onchain perpetual exchange. Instead, Aster is focused on pushing onchain derivatives trading into a broader, more mature phase, where zk verifiable privacy and purpose-built infrastructure can compete directly with centralized venues.
In summary, Aster’s first year in this new phase has laid the groundwork for a derivatives-focused L1 that blends performance, privacy, and developer-centric tools. The next challenge is scaling this model into a durable, multi-cycle trading ecosystem.
