The Evolution of Crypto Market Makers: Strategies, Infrastructure, and Emerging Opportunities

marsbitPublicado em 2025-12-19Última atualização em 2025-12-19

Resumo

The article explores the evolution of crypto market making, covering strategies, infrastructure, and emerging opportunities. It begins with classic strategies like spot vs. ETF arbitrage across exchanges and highlights the role of RFQ systems in Web3, enabling direct interaction with retail users through DEXs, aggregators, and wallets. The discussion moves to multi-chain infrastructure, from wrapped assets to intent-based protocols and solutions like THORChain and Harbor, which facilitate native cross-chain trading. Arbitrage between CeFi and DeFi is identified as a key opportunity, though it requires advanced infrastructure to combat MEV and front-running. The piece also covers derivatives, including perpetuals and options on platforms like Hyperliquid and Ethena, and token market making, often involving structured agreements with protocols. Finally, it emphasizes the importance of venture investing for market makers to gain early access to new opportunities and align with emerging ecosystems.

Author: Techub Selected Compilation

Written by: Michael Oved

Compiled by: Tia, Techub News

Earlier this year, as a major market maker was preparing for the inevitable expansion into the crypto market, I put together a roadmap for them. The opportunities here are vast and still evolving. This list is not intended to be exhaustive, but rather serves as a practical reference for trading firms seriously considering establishing or expanding their crypto business.

This is also an update to an article I wrote in 2018, as many of the protocols and conclusions mentioned back then are now outdated.

Classic Strategies: Spot vs ETF and Exchange Arbitrage

The most basic strategy in the crypto market almost entirely replicates the traditional market making model: connecting to multiple exchanges (such as Coinbase, Binance, etc.) and executing arbitrage between different trading venues. The goal is to align prices across different markets by executing arbitrage trades and efficiently allocating funds between exchanges. Prime brokerage infrastructure plays a supporting role, providing intraday loans and facilitating fast settlement. The execution layer relies on existing infrastructure optimized for low latency, but needs to be adapted to the APIs of crypto exchanges and the custody layer.

In spot vs ETF arbitrage opportunities, market makers typically participate as Authorized Participants (APs) for the primary product (e.g., iShares ETF). This role grants them "create/redeem" functionality, allowing APs to settle in cash or, under newer mechanisms, in-kind. Market makers hedge the ETF through crypto exchanges and related tools, executing trades simultaneously across multiple venues, products, currencies, and jurisdictions—areas where they already possess deep operational expertise.

RFQ Access to Web3 Products

Request for Quote (RFQ) systems are gradually becoming the mainstream model for market makers to interact directly with retail users in Web3. RFQ access takes various forms, including through Decentralized Exchanges (DEXs), Web3 product frontends, aggregators, or directly embedded in wallet interfaces. The access requirements are relatively low, primarily involving Fireblocks infrastructure for moving assets to and from counterparties, and usually permissioned API access.

DEXs designed around RFQ, such as AirSwap and 0x Matcha, are early, representative cases. In these systems, counterparties negotiate prices off-chain, while settlement is completed on-chain via smart contracts. This model retains the characteristics of traditional OTC bilateral trading while eliminating counterparty risk through atomic settlement. Market makers respond to quote requests in real-time, using signed messages and off-chain communication channels, ensuring gas efficiency, privacy, and flexibility for institutional-sized orders.

Compared to the Automated Market Maker (AMM) model, the RFQ model eliminates inherent price inefficiencies. Consequently, many AMMs have integrated RFQ quotes into their native frontends, allowing users to compare on-chain liquidity pool prices with direct quotes from market makers. Platforms like UniswapX and Jupiter aggregate liquidity from both their internal AMMs and RFQs, presenting users with a combined result when they request a quote. In practice, RFQ often wins out, so connecting and providing quotes through these interfaces is also a significant opportunity for market makers.

Aggregators like 1inch, acting as a "meta-layer" on top of existing DEXs and RFQ infrastructure, also connect directly with market makers. They send quote requests to all DEXs and market makers simultaneously and present the best option to the user. Aggregators are often directly integrated into wallets, gaining broad distribution from the start.

Wallets are evolving into complete DeFi execution gateways. Products like Metamask, Phantom, and Exodus have built-in Swap functions that aggregate quotes from both aggregators and direct market makers, effectively acting as "aggregators of aggregators." The core issue here is cost. Since wallets control user traffic, they aim to internalize as much of the spread as possible, as this is the core of their business model.

Going Multi-Chain: From Wrapped Assets to Intent Protocols, to Harbor

It's necessary to emphasize the evolution of multi-chain infrastructure, as market makers can also provide liquidity and/or execute arbitrage around these solutions. Including BTC in this should be considered the biggest opportunity in terms of trading volume and profit. Initially, "cross-chain" meant wrapping or bridging, i.e., locking assets in a smart contract on one chain and minting a representation on another. This method saw limited adoption, as users preferred holding native assets over wrapped tokens.

Intent-based protocols are a relatively new concept in the Web3 execution layer. Users submit their intent or generalized transaction goals, and market makers, known as "solvers," compete to execute these intents by finding the optimal path and/or price. Essentially, these solvers play the role of RFQ responders, with final settlement occurring on-chain, often involving multiple chains. In many ways, AirSwap can be seen as the earliest intent protocol, and we have very deep practical knowledge of its advantages and limitations.

THORChain is a significant protocol that introduces native BTC into the cross-chain system by combining an AMM model with threshold signatures and a multi-party validator set. The protocol enables direct swaps between BTC and EVM-based assets without relying on wrapped tokens or bridges. This design provides a scalable framework for native asset trading between heterogeneous chains.

Finally, @Harbor_DEX integrates and optimizes the above concepts, ultimately providing a way for market makers to directly quote for any asset (native or wrapped) on any chain within Web3 wallets. Harbor launched as a cross-chain CLOB, offering familiar APIs, deterministic price control, and native cross-chain settlement capabilities. It operates entirely as backend infrastructure, integrating directly with wallets without maintaining its own frontend or interacting directly with retail users. Once scaled, Harbor could provide market makers with a unified interface to seamlessly quote across all Web3 wallets and ecosystems.

Arbitrage Between CeFi and DeFi

Compared to traditional order books, AMMs are structurally a less price-efficient model. This inefficiency gives rise to MEV extraction and competition among bots attempting to capture arbitrage opportunities between liquidity pools and centralized markets, or to arbitrage the AMM itself in the case of sufficiently large orders.

Price discrepancies between AMMs and centralized exchanges are often significant, presenting highly attractive opportunities for many current participants. AMM pool prices frequently deviate, and market makers pull them back to reasonable levels, immediately profiting from the spread.

However, executing such strategies requires both a different way of interpreting prices compared to CLOBs and node-level infrastructure support. AMM quotes are not discrete order book levels but curves related to trade size, so market makers must dynamically calculate executable size and actual execution price before analyzing the trade. Furthermore, successful on-chain arbitrage relies on efficient blockchain infrastructure, including direct node access, optimized transaction propagation, and reliable block inclusion strategies to reduce the risk of front-running or failed transactions.

In practice, the biggest challenge is "winning the block," as multiple arbitrageurs have often identified the same opportunity. Transactions must be not only fast but also stealthy, typically broadcast through private relays or dedicated builders to avoid exposure in the public mempool and being front-run. With the right infrastructure and blockchain systems, arbitrage between CeFi and DeFi can be a substantial profit-making business.

Derivatives, Perpetuals, and Options

The decentralized derivatives market is rapidly evolving, represented by perpetual contracts (perps) and options protocols that replicate leverage and hedging tools from traditional markets. Among these protocols, Hyperliquid stands out, with its perpetual contract design balancing the supply and demand of long and short positions through a market-determined funding rate mechanism.

Hyperliquid also pioneered HLP, introducing a vault-style pool that allows users to passively participate in the profit and loss sharing of active market makers while reducing the capital requirements for market makers. Essentially, the exchange's margin system is funded by deposit vaults, allowing users to share both funding rate income and trading profits and losses. This design aligns incentives between liquidity providers, market makers, and the exchange, representing a significant innovation in decentralized leverage mechanisms.

Another important development is Ethena, which generates synthetic dollars through derivatives. Ethena's model maintains a stable asset and issues a stablecoin by simultaneously establishing a hedged position of a spot long and a perpetual short. Each user's minting or redemption action requires market makers to complete the hedge in real-time, creating continuous trading volume and arbitrage opportunities.

Expanding into the futures and options space is a natural extension of market makers' existing capabilities. Core skills such as basis management, funding rate arbitrage, inventory hedging, and capital efficiency optimization can be directly transferred to this new environment. With suitable custody and execution infrastructure, market makers can operate in these venues just as they do in traditional derivatives markets, capturing structural inefficiencies and emerging trade flows.

Token Market Making

When a new protocol token launches, it typically requires immediate liquidity provision on centralized exchanges. Market makers often enter into structured agreements with the protocol foundation or treasury. These arrangements usually take the form of "loan + options," where the market maker receives a loan of a certain amount of tokens and simultaneously receives call options allowing them to purchase tokens at a fixed strike price. For example, if the token's price doubles after launch, the market maker can exercise the option to purchase some of the borrowed tokens at the pre-agreed strike price, realizing substantial profits.

Over time, this practice may evolve or fade away due to its lack of transparency, benefiting market makers at the expense of retail investors and protocol foundations. Regardless, newly launched tokens will continue to need liquidity support, so variants of this structure are expected to persist in some form.

At Harbor, we are exploring a model that is more conducive to aligned incentives, pairing market makers directly with token teams and having them distribute liquidity through Web3 wallets rather than centralized exchanges. This approach keeps settlement on-chain, increases transparency, and allows users to trade directly with professional liquidity counterparts without relying on intermediated venues.

Regardless of the approach, there remains a huge opportunity for institutional participants to collaborate with token issuers in designing structured liquidity solutions, bringing professional market making discipline and greater transparency to this evolving segment of the crypto market.

Venture Capital and New Market Entry

In the crypto space, new markets and structural opportunities emerge approximately every 6 to 12 months, such as mining, exchanges, OTC, smart contract chains, ICOs, DEXs, yield farming, stablecoins, RFQ, perpetuals, and recently ETFs / DATs. This cycle of constant invention and reinvention has existed since Bitcoin's inception and is likely to continue as the ecosystem matures. The first movers into these new areas often capture the vast majority of the benefits, due to lower initial competition and information asymmetry.

Many crypto market makers have dedicated venture capital teams, whose purpose is not only investment itself but also to gain early insight into upcoming market structures and liquidity needs. These investments create aligned exposure to the upside of equity or tokens, as the institution can leverage its own infrastructure to drive usage and key metrics. I believe that for firms like Jump, Flow, and Wintermute, VC investment itself constitutes a significant source of their returns. In my view, establishing a strategically positioned VC fund and providing capital market capabilities, including but not limited to liquidity support, will help early teams grow, thereby enhancing the value of the VC investment. Taking Harbor as an example, our cap table includes four market makers; we brought them in at the seed stage for early alignment, and we expect them to be long-term and important partners for our protocol.

Criptomoedas em alta

Perguntas relacionadas

QWhat are the main strategies used by crypto market makers in the evolving landscape?

ACrypto market makers employ several key strategies, including spot vs. ETF and exchange arbitrage, RFQ-based interactions with Web3 products, cross-chain liquidity provision and arbitrage, CeFi-DeFi arbitrage, derivatives and perpetuals trading, and token market making for new protocol launches.

QHow does the RFQ (Request for Quote) model function in Web3, and which platforms support it?

AThe RFQ model allows market makers to interact directly with retail users in Web3. Users request quotes, and market makers respond in real-time via off-chain communication, with settlement occurring on-chain via smart contracts. Platforms like AirSwap, 0x Matcha, UniswapX, Jupiter, and 1inch support RFQ, often aggregating both AMM and RFQ liquidity for optimal pricing.

QWhat role does multi-chain infrastructure play for crypto market makers, and what are some key protocols?

AMulti-chain infrastructure enables market makers to provide liquidity and execute arbitrage across different blockchains. Key protocols include THORChain, which allows native BTC swaps with EVM-based assets without wrapped tokens, and Harbor, which offers a cross-chain CLOB API for market makers to quote any asset on any chain directly to Web3 wallets.

QHow do market makers capitalize on arbitrage opportunities between CeFi and DeFi markets?

AMarket makers exploit price inefficiencies between centralized exchanges (CeFi) and automated market makers (AMMs) in DeFi. They use node-level infrastructure, direct blockchain access, and private transaction relays to avoid front-running. By quickly executing trades when AMM pools deviate from CeFi prices, they capture spreads and profit from structural inefficiencies.

QWhat is the significance of venture capital investments for crypto market makers?

AVC investments allow market makers to gain early insight into emerging market structures and liquidity needs. By investing in new protocols or platforms, they align with upside potential and can leverage their infrastructure to drive adoption. This strategic approach helps capture value from new opportunities like ETFs, perpetuals, or intent-based protocols, often contributing significantly to overall returns.

Leituras Relacionadas

Behind the AI Scorecards Lies a Chinese 'Question Setter'

Behind the AI scorecards that dominate industry discussions—benchmarks like MMLU-Pro, MMMU, and MMMU-Pro—stands a Chinese-Canadian researcher: Wenhu Chen. As an assistant professor at the University of Waterloo and founder of the TIGER Lab, Chen has become a key "exam-setter" for evaluating large language and multimodal models. Chen first gained broader recognition with MMLU-Pro, a more challenging and stable update to the popular MMLU benchmark. As top models like OpenAI’s o3 began achieving near-perfect scores on the original MMLU, it became difficult to distinguish their true capabilities. MMLU-Pro introduced more complex reasoning questions, expanded answer choices, and filtered out ambiguous or simple items, effectively reintroducing differentiation among state-of-the-art models. His work on MMMU addressed the evaluation of multimodal models, requiring them to integrate visual information (like charts, diagrams, or tables) with textual knowledge across diverse academic subjects. Even the strongest models initially scored only around 56-59%, highlighting significant room for improvement in genuine multimodal reasoning. MMMU-Pro further refined this by preventing models from bypassing visual cues. Chen’s research focus has long been on complex information understanding and reasoning. His background—including a PhD at UC Santa Barbara, research at Google/DeepMind on Gemini, and now a role in Meta’s superintelligence lab—provides deep insight into model development and their potential weaknesses. His TIGER Lab also builds models (e.g., for video understanding and generation), ensuring his evaluation benchmarks are grounded in practical challenges. While AI headlines often spotlight company leaders and product launches, Chen’s work exemplifies the critical, behind-the-scenes contributions of researchers crafting the rigorous standards that define and drive progress in AI capabilities.

marsbitHá 23m

Behind the AI Scorecards Lies a Chinese 'Question Setter'

marsbitHá 23m

STRC Unpegged by 11%, Can Strategy's Perpetual Motion Machine Keep Turning?

STRC, the perpetual preferred stock of MicroStrategy, is experiencing a persistent de-pegging from its target par value of $100, with the discount recently widening to over 11%. This de-anchoring challenges the core design of STRC, which was intended as a stable, income-oriented security operating near $100. As a crucial funding engine for MicroStrategy's Bitcoin acquisition strategy, STRC's price reflects market confidence in the company's entire capital model. The company's "capital flywheel" relies on issuing STRC at or above $100 via an At-the-Market (ATM) program to raise cash for buying Bitcoin, thereby boosting company equity and theoretically supporting STRC's value. A monthly adjustable dividend mechanism was designed to maintain this peg. Despite raising the dividend to 11.5% and increasing payment frequency, the de-pegging persists. Market concerns extend beyond technical factors like leveraged arbitrage unwinding. Analysts point to MicroStrategy's limited cash reserves relative to its ~$1.7 billion annual dividend obligation for preferred shares. While the company counters that its vast Bitcoin holdings could cover decades of payments, this argument hinges on the potential need to sell Bitcoin—a shift from its longstanding "hodl" narrative. The company's recent sale of a small amount of BTC, framed as a test, amplified these liquidity and strategy concerns. If STRC remains discounted, impairing MicroStrategy's ability to raise cheap capital, fears may grow that the company could sell more Bitcoin to meet obligations. This scenario could transform MicroStrategy from a major market buyer into a potential seller, posing significant downside risk for Bitcoin. The re-pegging of STRC is thus a key indicator for the health of MicroStrategy's capital structure and its market impact.

Odaily星球日报Há 37m

STRC Unpegged by 11%, Can Strategy's Perpetual Motion Machine Keep Turning?

Odaily星球日报Há 37m

Silicon Valley's Most Sought-After New Role Has Emerged

Silicon Valley's New Most Wanted Job: The Rise of the Forward Deployment Engineer The AI industry is witnessing a significant shift. The focus has moved from developing cutting-edge models to deploying them effectively within enterprises. This has made the "Forward Deployment Engineer" (FDE) a critical and highly sought-after role at major firms like OpenAI, Anthropic, and Google. For the past three years, the industry prioritized model scientists. However, companies are now facing a harsh reality: purchasing powerful AI tools does not guarantee productivity gains or organizational change. The biggest hurdle is not the technology itself, but integrating it into complex legacy systems, workflows, and corporate cultures. This includes challenges like data silos, compliance requirements, and internal resistance. The FDE role, pioneered by Palantir Technologies, addresses this "last-mile" problem. FDEs are deployed on-site with clients for extended periods. Their job is to deeply understand the client's specific organizational structure, processes, and pain points, then tailor and implement the AI solution accordingly. They combine skills in technology, project management, and organizational change. A clear signal of this trend emerged in May 2026 when three AI giants made major moves. Anthropic launched a $1.5B joint venture for enterprise deployment. OpenAI formed an independent deployment subsidiary, DeployCo, with over $4B in commitments and acquired a deployment consultancy. Google Cloud's CEO publicly announced a large-scale recruitment drive for FDEs. This shift represents a fundamental change in the software business model: from selling tools to selling guaranteed outcomes. FDEs are the agents of this change, responsible for delivering a working system within the production environment, not just a demo. Real-world cases, such as challenges at Goldman Sachs (compliance barriers) and Target (internal cultural resistance), illustrate that the primary obstacles to AI adoption are organizational, not technical. An FDE's value lies in navigating these human and procedural complexities to facilitate a successful "AI migration." In essence, as core AI technology becomes more accessible and affordable, the true premium is shifting to the human expertise required to understand organizations and drive change—making the FDE role pivotal for the next phase of the AI revolution.

marsbitHá 37m

Silicon Valley's Most Sought-After New Role Has Emerged

marsbitHá 37m

When the World Cup Collides with Agents: From Web2 to Web3, How Are Wallets Evolving into Agentic Wallets?

World Cup as a Catalyst for Agentic Wallets: From Web2 to Web3 This article explores how the World Cup provides a real-world scenario for observing the evolution of digital wallets from simple asset managers towards "Agentic Wallets"—intelligent, AI-powered interfaces. Using the example of prediction markets like Polymarket, it illustrates how AI Agents can lower the barrier to Web3 interaction. Instead of navigating complex DApps, users can express intent in natural language (e.g., "I think Portugal will win") within platforms like Discord or web pages. The Agent then interprets this intent, finds the relevant market, and seamlessly guides the user through the on-chain transaction via their wallet. The core shift is from wallets as mere "function menus" for signing transactions to "intent interpreters" that understand user goals. The article highlights parallel developments in traditional finance, such as Mastercard's "Agent Pay" and WeChat Pay's AI tests, which focus on granting AI controlled, authorized, and auditable payment capabilities. This underscores a broader trend of AI entering the financial layer. However, the article emphasizes that the primary challenge for Agentic Wallets in Web3 is not automation but establishing clear security boundaries. Unlike traditional systems with chargebacks, on-chain transactions are often irreversible. Therefore, future wallets must ensure users retain ultimate control and comprehension. They need to transparently communicate an Agent's permissions, spending limits, authorized durations, and provide easy ways to pause or revoke access. The World Cup experiments represent early steps toward wallets that are not just applications but ubiquitous, intelligent interfaces that simplify Web3 while keeping users securely in control.

marsbitHá 2h

When the World Cup Collides with Agents: From Web2 to Web3, How Are Wallets Evolving into Agentic Wallets?

marsbitHá 2h

Options Don't Work in DeFi? Vitalik Might Not Agree

For years, the prevailing view has been that options struggle to gain traction in DeFi due to complexity, fragmented liquidity, and lack of natural demand compared to products like perpetual futures. However, a recent algorithmic stablecoin design proposed by Vitalik Buterin presents a different perspective, using options not as a standalone trading product, but as foundational infrastructure for other financial instruments. In this design, one unit of ETH is split into two components: a "stable" side (P) that retains value up to a specified strike price, and an "upside" side (N) that captures all appreciation above that strike. Combined, they always equal one ETH, eliminating debt, margin, and liquidation risks inherent in typical collateralized debt position (CDP) stablecoins. The stable component essentially mimics the payoff of a covered call option. To function as a stablecoin, this structure requires continuously rolling deep in-the-money calls, which introduces challenges like rollover slippage, predictable transaction flow vulnerable to front-running, and persistent liquidity needs. A core hurdle is finding consistent buyers for the leveraged ETH upside exposure (N). While it offers leverage without funding rates or liquidation, it must compete with simpler alternatives like direct call options or perpetuals. The system's scalability depends on a sustained demand for this specific form of leverage. The author draws parallels to their experience with Rysk, where earlier versions of DeFi options protocols struggled. The breakthrough came with Rysk V12, which aligns incentives: asset holders generate yield by selling covered calls against their holdings, while market makers efficiently acquire the desired option exposure. This demonstrates that options can find product-market fit when embedded as a risk distribution and pricing engine within structured products, stablecoins, or yield-generating assets, rather than marketed as a complex direct trading instrument. Vitalik's proposal reinforces this architectural approach—using fully collateralized, non-custodial, and physically settled options as a fundamental building block. The real opportunity for options in DeFi may lie not in becoming the next perpetual swap, but in powering the next generation of on-chain financial products.

marsbitHá 2h

Options Don't Work in DeFi? Vitalik Might Not Agree

marsbitHá 2h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar TIA

Bem-vindo à HTX.com!Tornámos a compra de Celestia (TIA) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Celestia (TIA) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Celestia (TIA)Depois de comprar o teu Celestia (TIA), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Celestia (TIA)Transaciona facilmente Celestia (TIA) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

172 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar TIA

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de TIA (TIA) são apresentadas abaixo.

活动图片