NADO: Rewriting the Execution Model for On-Chain Markets

twi Research Analyst / Xangle Jan 02, 2026 1. Why the Market Is Moving from CEX to DEX Over the past decade, centralized exchanges (CEXs) have functioned as the core execution infrastructure of the crypto market, effectively setting the baseline standard for trading. Deep liquidity, fast execution, and a wide range of order types allowed CEXs to compensate for limitations inherent to early on-chain systems, naturally concentrating the majority of trading volume within centralized venues. As the market has matured, however, the structural constraints embedded in the CEX model have become increasingly difficult to ignore. Opaque order books, direct custodianship of user assets by exchanges, and repeated withdrawal halts during periods of stress all underscore a fundamental reality: CEXs operate on an assumption of trust in the operator. The consequence is a system in which internal operational risk is directly transmitted to end users—a structural vulnerability that has repeatedly materialized in practice. The collapse or insolvency of multiple mid- to large-sized exchanges over recent years, and the resulting losses borne by traders and investors, can be traced back to this very design flaw. Decentralized exchanges (DEXs), by contrast, are structurally anchored in transparency and self-custody. All transactions are recorded on-chain and remain continuously auditable, while assets reside in user wallets or smart contracts rather than on exchange balance sheets. Operational failures at the exchange layer therefore do not automatically translate into user-level asset risk. Despite these advantages, DEXs have historically fallen short of serving as true substitutes for CEXs. The critical gap lies in performance and execution quality. DEXs built on existing L1s such as Ethereum—or on L2 frameworks including optimistic rollups and ZK rollups—remain constrained by limited throughput and sharply rising latency during periods of network congestion. Even order book–based DEXs struggle to match CEX standards in matching speed, slippage control, and fill rates, placing clear limits on their ability to attract professional traders or high-frequency strategies. A structural inflection point is now emerging. The latest generation of high-performance L2 infrastructure introduces architectural primitives—parallel execution engines, custom sequencers, localized gas markets, and hybrid designs that combine off-chain matching with on-chain verification—that directly target long-standing on-chain bottlenecks. The result is a system capable of reconciling what previously appeared mutually exclusive: CEX-grade ultra-low-latency execution and the trust and transparency of on-chain settlement. Performance and reliability no longer sit on opposite ends of a trade-off; both can now be delivered within a single trading stack. As equities, commodities, and other real-world assets increasingly migrate on-chain, the role of DEXs is poised to expand beyond their current scope toward all-in-one trading platforms capable of supporting a broad spectrum of financial instruments. Achieving this transition, however, requires execution infrastructure with speed and stability comparable to Nasdaq-class matching engines. At the leading edge of this shift sit INK Chain and the PerpDEX NADO built on top of it. INK Chain and NADO occupy the center of this transformation. INK Chain is a high-performance L2 purpose-built for trading, defined by parallel processing, low-latency architecture, and high-speed transaction propagation—delivering execution performance that meaningfully exceeds existing L1 and L2 environments. On this foundation, NADO operates as a next-generation hybrid PerpDEX, implementing CEX-grade trading strategies, rapid execution, and sophisticated liquidity structures directly on-chain. Together, the two systems eliminate the long-standing technical compromise of “speed on CEXs, security on-chain,” opening a new paradigm in which professional-grade trading is natively viable within an on-chain environment. 2. INK Chain & NADO: An On-Chain Trading Stack for High-Performance Execution 2-1. INK Chain — A High-Performance L2 Optimized for Trading INK Chain is an L2 architected with high-performance trading as its primary design objective. Its goal is to structurally resolve the throughput constraints that have long characterized existing L1 and L2 environments. In conventional Ethereum-based execution models, transactions are processed sequentially; during periods of network congestion, latency rises sharply, and large-scale order book–driven trading frequently experiences performance degradation. INK Chain re-engineers the entire stack around trading performance as a first-order principle, establishing a foundation on which institutional-grade trading engines can operate natively on-chain. Technical credibility and market alignment are further reinforced through INK Chain’s collaboration with Kraken. As one of the world’s major global exchanges and an institution that operates highly sophisticated trading infrastructure in-house, Kraken has contributed validation and advisory input on INK Chain’s architectural direction and performance optimization roadmap. At the core of INK Chain’s execution capabilities lies its parallel execution engine. By identifying and batching non-conflicting transactions for simultaneous processing, the system achieves materially higher throughput than traditional serial execution models. The impact extends beyond headline TPS metrics; real-world capacity to absorb dense order flow and sustained execution demand improves meaningfully under active trading conditions. Complementing this design, a network propagation layer optimized for ultra-low latency ensures that the full execution pipeline—order creation, transmission, matching, and verification—operates with minimal delay. Scalability under heavy order book activity represents another critical design axis. Many existing DEXs experience transaction conflicts and rapid deterioration in execution quality when order flow concentrates. INK mitigates these failure modes through its parallel transaction architecture and custom sequencer design, maintaining execution integrity even during traffic surges. Latency spikes, failed executions, and slippage expansion, which persist as structural constraints in prior on-chain systems, are reduced at the architectural level rather than addressed through ad-hoc optimizations. Taken together, these characteristics position INK Chain as financial infrastructure capable of sustaining high-throughput execution with stability. Operating atop this foundation is NADO, the perpDEX that translates CEX-grade trading experiences into an on-chain environment. 2-2. NADO — A Hybrid PerpDEX for Advanced Trading Strategies NADO extends beyond simply enabling spot and perpetual (futures) trading on-chain. It is designed as a next-generation trading engine that brings sophisticated strategies, historically confined to centralized exchanges, into an on-chain execution context. While most DEXs remain limited to basic directional positioning or simple leverage, NADO constructs its order structures and execution mechanics from the outset around the requirements of professional traders, enabling materially more complex strategy composition. The defining feature of NADO’s architecture is the convergence of two properties that have traditionally been difficult to reconcile: CEX-grade execution quality and the trust guarantees of on-chain settlement. Order responsiveness, partial fills, order cancellation handling, and order book depth closely mirror centralized trading venues. At the same time, clearing and settlement occur entirely on-chain, preserving transparency, auditability, and self-custody as core system properties. Execution quality is therefore no longer a constraint forcing professional traders toward centralized venues. This design direction aligns with approaches pursued by high-speed DEXs on Solana and select Ethereum L2s. However, most existing implementations remain constrained by an unresolved trade-off: speed without sufficient on-chain transparency, or security without adequate execution performance. NADO addresses both dimensions simultaneously, advancing on-chain trading toward a point where it can function as a genuine substitute for the CEX experience rather than a secondary alternative. Beyond the functional scope of conventional perpDEXs, NADO is evolving into a Unified Matching Engine. Spot markets, perpetuals, and money markets are cohesively linked atop a single margin engine, allowing traders to manage leverage, hedging, borrowing, and spot exposure within one account. Current support is limited to BTC- and ETH-based spot assets; expansion plans include additional spot markets and, over time, commodities and stock-like synthetic assets. In aggregate, NADO represents a structurally differentiated model that satisfies both CEX-level execution performance and on-chain trust guarantees. The implication is material. On-chain trading is no longer confined to an experimental niche, but is entering a phase in which it can credibly absorb trading volume from centralized markets. By integrating speed, liquidity, capital efficiency, and transparency into a unified stack, NADO stands among the earliest on-chain trading infrastructures with the potential to define a future standard for on-chain finance. 3. Why NADO Is Fast: An Analysis of Its Technical Foundations NADO’s speed and performance extend beyond UI design or matching logic; they are the direct result of a tightly integrated system combining INK Chain’s high-performance architecture with NADO’s purpose-built execution engine. Conventional L1- and L2-based DEXs remain structurally dependent on block production cycles and network congestion, a dependency that repeatedly leads to order backlogs and execution delays. NADO, by contrast, operates on INK Chain, a trading-specialized L2, and leverages parallel processing alongside an ultra-low-latency network propagation model to materially elevate execution performance. NADO’s architecture rests on two core pillars. The first is an on-chain clearinghouse and risk engine deployed on INK L2. The second is an ultra-low-latency off-chain sequencer–based central limit order book (CLOB). Orders are matched at speeds of approximately 5–15 milliseconds, after which execution results are batched and settled on-chain at regular intervals. This design achieves processing efficiency without compromising security. Assets remain locked in smart contracts at all times; the sequencer is responsible for ordering and executing trades, but holds no access rights over user funds. Decentralization and trust guarantees are therefore preserved alongside high-speed execution. The on-chain risk engine continuously computes user positions, collateral balances, and borrowing states in real time, forming the basis of NADO’s cross-margin framework. Spot, derivatives, and lending positions are evaluated in aggregate to determine account-level net exposure, enabling precise liquidation thresholds that account for offsetting effects across positions. Oracle price feeds update on a sub-second cadence, and liquidations are automatically triggered once defined price thresholds are breached. Orders are processed immediately by the sequencer at execution and then committed on-chain in aggregate, a structure that materially reduces exposure to MEV and provides responsiveness suitable for high-frequency trading (HFT). In combination, these elements allow NADO to address long-standing structural limitations of DeFi while delivering CEX-level execution speed alongside on-chain transparency, positioning it as a fully realized hybrid trading platform. 4. NADO: Execution Tools & Liquidity Participation Models 4-1. Execution Tools — Trading and Strategy Execution NADO aims to reproduce, directly on-chain, the instantaneous execution experience traditionally associated with centralized exchanges (CEXs) by offering spot and perpetual trading within a single, unified trading environment. Order execution speeds reach the 5–15 millisecond range, enabling a trading experience with negligible latency. This level of performance extends beyond raw speed; it is sufficient to support professional traders deploying high-frequency strategies (HFT) or advanced order management systems. At present, NADO supports spot markets for BTC and ETH wrapped on INK Chain, a structure that delivers CEX-like execution quality and asset usability within an on-chain context. Over time, the platform plans to expand gradually into additional asset classes, including commodities and equities. Trader-facing execution tools represent another core point of differentiation. The Scaled Orders feature, for example, allows users to deploy multiple laddered limit orders through a single configuration. By specifying parameters such as starting and ending prices, total order size, number of orders, and the distribution of prices and quantities, the system automatically places segmented orders across the defined range. Tasks that previously required manual order splitting on traditional DEXs are thus automated, enabling more efficient risk dispersion and liquidity placement. From a strategic perspective, NADO is architected to support complex trading structures. Because spot and perpetual markets operate within an integrated framework, traders can construct basis trades between spot and futures, directional swing trades, and short- to mid-term hedging strategies within a single account. Throughout these workflows, the ultra-low-latency matching engine provides stable execution even under elevated volatility. Planned expansions, including conditional trigger orders, TWAP and VWAP execution, and advanced execution algorithms, are expected to further extend strategic flexibility. Sub-account functionality allows risk to be fully segregated by strategy, preserving the level of granular control required by professional traders. The resulting positioning is clear: NADO remains accessible to general users while offering a materially more powerful execution environment for professionals. Capital efficiency forms another central design pillar. To initiate trading, users deposit USDT0 or wETH into a Unified Account. These assets are automatically recognized as margin collateral, enabling leverage of up to five times without additional approval steps. Deposited assets also generate native, compounding yield through platform fees and lending activity. Practical workflows include seamless swaps from wETH to USDT0 or the immediate opening of leveraged long positions in wETH using existing USDT0 balances. Unlike traditional DEX architectures that rely on isolated pools with fragmented assets and liquidity, NADO adopts a Unified Liquidity structure across products. Spot-held assets can naturally offset the risk of perpetual positions, while capital borrowed from the Money Market can be deployed to extend strategies. Spot assets therefore function not merely as passive holdings, but as active hedging instruments and anchors for leverage-based strategies. This integrated capital structure delivers levels of efficiency and strategic flexibility that have been structurally unattainable in prior DEX designs, and it constitutes one of the primary reasons NADO can credibly be described as an on-chain CEX. 4-2. NLP (Nado Liquidity Pool) — Yield Generation Through Liquidity Provision Another core component of NADO is its liquidity provision model known as NLP (Nado Liquidity Pool). NLP forms real market liquidity by deploying deposited capital directly across multiple price levels in the order book. When users deposit USDT0 into NLP, capital is immediately allocated across multiple sub-vault strategies, including market making (MM) and liquidation strategies. The result is deeper order books and tighter spreads. This structure materially improves execution quality, particularly for assets with volatile liquidity profiles such as long-tail assets, and elevates the overall trading experience. At the same time, NLP participants share in a portion of the market-making spread revenue generated by the platform, as well as profits arising from liquidation events. The role therefore extends beyond that of a conventional LP. NLP activates a virtuous cycle defined by deposit, liquidity provision, execution quality improvement, and revenue sharing. NLP positions carry additional significance within NADO’s Unified Margin framework. Up to 70% of the equity value of an NLP position is recognized as collateral. Deposited NLP shares are reflected as collateral based on real-time oracle pricing and can be used to expand leverage and positions across the full product suite, including spot markets, perpetuals, and the money market. Liquidity providers can generate yield from liquidity provision while simultaneously securing collateral capacity, maximizing capital efficiency. Structurally, NLP is designed as a non-liquidatable model. Stability is maintained even under sharp market moves through multiple risk management mechanisms, including real-time price updates, withdrawal gating, a four-day lock-up period, and fee-based buffers. A second pillar linking liquidity infrastructure with the trading experience is NADO’s fee and rebate framework. NADO adopts the widely established and efficient Maker–Taker model used across global trading venues. Limit orders that add liquidity to the order book can earn rebates, or negative fees, upon reaching higher fee tiers, turning liquidity provision into a direct revenue source. Market orders, by contrast, incur reasonable fees calculated on notional trade value. All fees are calculated in BPS units, equivalent to 0.01%, and are settled instantly in USDT0. Non-trading activities such as deposits and borrowing incur no fees. The competitiveness of NADO’s fee model within the broader DeFi landscape stems from its volume-based scaling tier structure. As a user’s rolling 30-day trading volume, including both maker and taker activity, increases, taker fees decline while maker rebates rise. Highly active traders can therefore transact at CEX-level ultra-low costs, with fees as low as 1.5 bps. Top-tier makers operate in a structure where participation in the order book itself becomes a consistent source of profit. All fee tiers are visible in real time at the account level and reset on the first day of each month at UTC. This predictable framework enables traders to adjust strategies under clear operational rules. Transparency and predictability reinforce liquidity, stimulate trading volume, and generate strong network effects across the platform. NADO addresses fee avoidance risks associated with small-sized orders by enforcing a minimum fee threshold for limit orders. Each market specifies a minimum order size, and orders submitted below this threshold are charged fees based on the minimum amount rather than actual notional value. This policy suppresses spam-like order behavior and helps preserve overall order book quality. Makers, by contrast, are not subject to minimum fee constraints; fees or rebates are applied to the full notional value of each order, reinforcing incentives for deep and consistent liquidity provision. Network cost efficiency is achieved through a hybrid execution and settlement model. NADO sustains sub-15 millisecond matching speeds via its off-chain sequencer, while final settlement is handled on INK L2. On-chain interactions are priced using fixed and transparent USDT0 fees, resulting in a cost structure that is both more predictable and, in most cases, cheaper than conventional L2 environments. Additional actions such as withdrawals, inter-account transfers, and liquidations incur predefined fees, while failed transactions generate no charges. For users requiring expedited withdrawals, an optional Fast Withdrawal mechanism is available; execution applies whichever is higher between a fixed fee and a percentage-based fee. Viewed as a whole, NADO’s fee and rebate framework operates as more than a pricing schedule. It establishes a self-reinforcing network flywheel in which greater order book depth improves execution quality, higher execution quality attracts active traders, increased participation drives volume growth, and rising volume unlocks lower fees and stronger maker incentives that further deepen liquidity. NLP supplies structural market depth, the Maker–Taker tier model amplifies trading activity, and Unified Margin maximizes capital efficiency across products. In combination, these components position NADO not simply as a DEX, but as an on-chain matching engine functioning as foundational infrastructure for the next phase of on-chain trading. 5. NADO Points Program: Early User Incentive Structure NADO is currently operating in a private alpha phase, with a formal points system yet to be launched. At the same time, the project is preparing a points-based incentive program in anticipation of a future public rollout. The program is positioned as a core mechanism designed to accelerate ecosystem growth rather than as a short-term promotional tool. Within the Private Alpha phase, points are allocated based on early contributions, serving to bootstrap initial liquidity and trading activity at an early stage. The subsequent open phase, Season 1, expands the accumulation criteria to include trading volume, on-platform activity, and participation in competitive events. This structure is explicitly designed so that user engagement directly translates into measurable platform growth. The points function as more than a simple accumulation metric. They represent assetized contribution indicators that are directly linked to value creation within the ecosystem. At the time of the token generation event (TGE), accumulated points are intended to convert into token allocations, providing tangible economic rewards to early participants who contributed to the platform’s expansion and operational stability. In this structure, NADO’s incentive design establishes a virtuous cycle connecting early participation, point accumulation, and token distribution, reinforcing both early user acquisition and sustained ecosystem activation through a coherent growth flywheel. 6. Bottom Line: Strategic Implications of INK & NADO INK Chain addresses the most fundamental constraints facing existing on-chain trading infrastructure, including limited throughput, latency, and architectural bottlenecks, by introducing an execution layer purpose-built for high-performance trading. Its technology stack, centered on parallel execution architecture, custom sequencers, and ultra-low-latency networking, closes performance gaps that L1- and L2-based DEXs have been unable to overcome. The result is an environment in which on-chain systems can realistically support high-frequency and high-precision trading workloads. Built on this foundation, NADO extends beyond a functional iteration of traditional DEX models and positions itself as a hybrid trading engine capable of delivering a CEX-grade experience on-chain. A sophisticated order book structure, execution speeds in the 5–15 millisecond range, and a unified margin system integrating spot markets, perpetuals, and money markets clearly distinguish NADO from conventional on-chain trading architectures. This design enables execution quality and strategic flexibility sufficient to onboard professional traders who have historically relied on centralized venues. Looking toward 2026, global trading infrastructure is increasingly being reshaped around the simultaneous demand for CEX-level performance and on-chain trust and transparency. Within this structural transition, INK and NADO emerge as a particularly compelling combination. Together, they form a new on-chain trading stack in which speed, liquidity, capital efficiency, and programmability converge. INK provides the execution foundation, while NADO implements real market structure on top of it, outlining a practical pathway for on-chain trading to evolve into a credible alternative capable of absorbing meaningful portions of CEX trading volume. Disclaimer I confirm that I have read and understood the following: The information contained in this article is strictly the opinions of the author(s). This article was authored free from any form of coercion or undue influence. The content represents the author's own views and does not represent the official position or opinions of CrossAngle. 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