**The Crypto AI Evolution: How Will Automated Trading by AI Agents Reshape the Market?**

By: blockbeats|2025/04/18 06:15:03
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Original Article Title: Crypto AI Agents: What They Are, How They Work, and Top Tokens to Watch
Original Article Author: Sankrit K
Original Article Translation: Daisy, Mars Finance

What Is a Cryptocurrency AI Agent?

A cryptocurrency AI agent is a software program that can autonomously utilize artificial intelligence to analyze, make decisions, and execute blockchain-related tasks without any human intervention.

Key Points

Capable of autonomously carrying out trades, asset management, and blockchain interactions, AI agents have evolved learning capabilities, leading to phenomena-level projects such as Truth Terminal and GOAT, as well as platforms like Virtuals Protocol that support on-chain AI agent development. Risk Advisory: Potential prediction biases may exist; data cross-validation is required.

**The Crypto AI Evolution: How Will Automated Trading by AI Agents Reshape the Market?**

Definition Breakdown

Imagine a digital assistant that can analyze market trends, manage crypto assets, and even operate on social media—that is precisely the essence of a cryptocurrency AI agent. These autonomous programs make independent decisions in the crypto space through artificial intelligence, simplifying complex blockchain interactions into automated operations.

“In the future world, there will be billions, even hundreds of billions of AI agents, outnumbering humans.”—Mark Zuckerberg | Meta CEO

Operation Mechanism

· Data Collection: Obtain real-time information from various sources such as the blockchain, social media, and news outlets

· Analytical Learning: Identify market patterns (e.g., tokens with a sudden surge in social media popularity) through machine learning models

· Decision Making: Trigger transactions, staking, or the publication of market reports based on the analysis results

· On-Chain Execution: Automatically select high-liquidity DEXs for transactions or optimize staking by choosing validation nodes

History of AI Agents in the Crypto Space

AI agents can attract attention online by interacting with the community and telling a unique story, sparking discussions. The stories of Truth Terminal and GOAT are excellent examples of this.

The narrative of an artificial intelligence agent in the cryptocurrency field began with a project called "Truth Terminal." Truth Terminal created a religion based on ironic memes, and because it was designed to semi-autonomously operate on X, it began posting about its "Goat Gospel."

In July 2024, Truth Terminal gained widespread attention as a16z co-founder Marc Andreessen took an interest in Truth Terminal's posts. He eventually transferred $50,000 worth of Bitcoin to Truth Terminal's provided wallet address, marking one of the first cases in the crypto space where a human made a significant financial donation to an AI agent.

Truth Terminal ultimately birthed the memecoin GOAT on Solana through Pump.fun. The token quickly gained popularity, reaching a market cap of over $1.2 billion, making Truth Terminal the first AI agent millionaire.

How Cryptocurrency AI Agents Work

Cryptocurrency AI agents typically use a conversational interface, such as a chatbot, where users can input questions. Once the context of the user's question is understood, it begins its operation.

· Data Collection: The AI agent starts gathering information from the blockchain, such as transaction details, as well as sources like social media, news websites, and price data.

· Analysis and Learning: The agent uses machine learning models to search for patterns and trends. For example, the agent may notice a sudden surge in popularity of a particular token on social media.

· Decision Making: Based on the analysis, the agent decides on the next course of action according to its design. This could involve making trades, staking tokens, or posting analysis results online.

· Taking Action on the Blockchain: The agent then executes its plan, such as purchasing tokens on the decentralized exchange (DEX) with the highest liquidity or selecting validator nodes for token staking. It also ensures that transactions are correctly executed on the blockchain.

AI Agent Use Cases

Use cases for AI agents include:

· Market Intelligence Market Research

· Customer Support

· Automated Trading Portfolio Management

· DeFi Strategy

· Fraud Detection

Market Intelligence and Research

One of the most common use cases of AI agents in the cryptocurrency field is the automation of market updates and due diligence research. These agents can automatically track and interpret market trends, providing real-time insights.

aixbt is a cryptocurrency AI agent that provides cryptocurrency market intelligence. Users need to hold AIXBT tokens to access this terminal, which offers momentum charts and other insights to help users identify emerging markets. It also posts market dynamics on X.

Customer Support

Another common use case for AI agents is customer support, where they take on the role of a support team, providing personalized customer interactions. Sensay is a platform for creating customized AI agents to help businesses offer round-the-clock support.

Automated Trading and Portfolio Management

Would you trust artificial intelligence to trade cryptocurrency for you? Supporters believe that AI agents are not affected by emotional trading and can help users avoid situations like the fear of missing out (FOMO) and panic selling. While using cryptocurrency AI agents for trading is still in its early stages, PAAL AI's SwingX agent has already launched, and Wayfinder is open to some users. Advanced features require a paid subscription.

DeFi Strategy Execution

AI agents can streamline DeFi interactions, execute swaps, bridge assets, and even manage automated strategies. HeyAnon is tailored for DeFi, allowing users to specify assets, amounts, conditions, and trigger conditions for trades. It can also be used for information mining.

Fraud Detection

AI agents have been used in the traditional financial sector for fraud detection and cybersecurity. They are used to scan real-time financial transactions, detect anomalies, and prevent fraudulent activities. However, there are currently no specific AI agent projects dedicated to fraud detection in the decentralized crypto space.

Advantages of AI Agents in the Crypto Space

AI agents in the crypto space provide users with three main advantages:

· Autonomous Decision-Making

· Efficiency

· 24/7 Operation

Autonomous Decision-Making

AI agents can analyze massive amounts of data on the blockchain, social sentiment, and even market trends in real time. This enables them to make data-driven decisions faster than humans.

They can also customize strategies based on user preferences, risk profiles, and on-chain behavior. Additionally, human trading is more susceptible to emotional influences, leading to panic selling or FOMO buying, while AI agents make decisions purely based on data.

Efficiency

Crypto AI agents can swiftly filter out all noise and review vast amounts of data, from token price changes to social media mentions, providing users with distilled information to make more informed decisions. AI agents can also automate manual operational tasks such as cross-chain token bridging, exchanges, staking, and lending.

24/7 Operation

The cryptocurrency market never sleeps, and AI agents are no different. This means cryptocurrency AI agents can respond to market changes anytime, monitoring opportunities, executing trades, or alerting risks.

Potential Risks and Drawbacks of Crypto AI Agents

While AI agents can enhance efficiency and provide insights, they also come with some risks, including: inaccurate predictions, market manipulation, overreliance, and security issues.

Inaccurate Predictions

If AI agents lack full context or rely on outdated, incomplete, or incorrect data, they may make mistakes. AI agents may also struggle to accurately address complex issues, such as regulatory changes impacting a specific cryptocurrency.

To avoid this scenario, you can continue your own research and validate the AI agent's claims. Alternatively, asking the AI agent about its sources and how it arrived at conclusions may also provide further insights.

Market Manipulation

If many AI agents hype the same token, collectively driving up the price, there is a risk of market manipulation that could lead to a subsequent crash. As always, you should conduct your own research on any token before investing and be cautious not to fall victim to FOMO.

Overreliance

While AI agents can streamline the research process, it's also easy to overrely on them. This can lead users to not verify information from AI or consider insights from other sources.

A cryptocurrency AI agent should be used as a tool to gain additional insights, rather than the sole advisor, while you should continue to do your own research before engaging in any large transactions or investments. If you trust an AI agent to manage your portfolio, you can set limits, such as requiring manual approval for large transactions.

Security Concerns

If you plan to use a cryptocurrency AI agent for portfolio management and it has direct access to your funds, there is a potential network attack risk that could compromise your account and assets.

When choosing a cryptocurrency AI agent, opt for one with a strong track record in network security that has undergone security audits covering its smart contracts and DeFi security. You may also add manual approval for large transactions based on your risk tolerance.

How Is a Cryptocurrency AI Agent Different from a Bot?

Cryptocurrency AI agents are easily confused with bots because they both automate tasks, respond to queries, and assist users in mundane tasks. However, there are significant differences between them. The distinction between bots and artificial intelligence agents can be attributed to their determinism and probabilistic nature.

Bots are deterministic. This means they follow pre-defined rules and scripts set by developers and strictly execute tasks according to instructions. For example, when a token price drops below a certain threshold, a trading bot may execute a buy order but cannot assess whether this action aligns with the actual scenario.

Cryptocurrency AI agents are probabilistic. They utilize machine learning and AI models to analyze data, forecast outcomes, and make decisions. They do not adhere to rigid rules but adjust based on patterns, trends, and probabilities, enabling more nuanced and intelligent operations.

Top 6 Cryptocurrency AI Agent Tokens

These tokens are ranked by market capitalization on CoinGecko, with most of them being infrastructure projects focusing on building AI models and autonomous agents rather than consumer-grade projects.

FET - Fetch.ai

The Fetch.AI Autonomous Economic Agent Alliance is a decentralized AI alliance co-founded by Fetch.ai, SingularityNET, and Ocean Protocol, with CUDOS as a network member. The alliance aims to be the largest open-source decentralized entity in the field of AI development, providing AI tools to its extensive developer community.

The FET token can be used to secure the Fetch.ai mainnet through staking, register and interact with AI agents in the ecosystem, and access AI tools, datasets, and computational resources. At the time of writing, FET's market cap exceeds 12 billion US dollars.

Virtual Protocol (VIRTUAL)

The Virtuals protocol is built on Base (Coinbase's L2). It allows users to create, own, and deploy AI agents. Virtuals transform AI agents into tokenized assets, giving users partial ownership. This enables users to own a part of the AI agent and benefit from its success.

Creating a new agent requires VIRTUAL tokens, which are used to establish the agent's liquidity pool. Transactions are carried out using VIRTUAL tokens, and before purchasing any agent tokens, other cryptocurrencies must be exchanged for VIRTUAL tokens. VIRTUAL tokens can also be used to pay for AI agent inference fees based on usage. At the time of writing, VIRTUAL's market cap is approximately 3.57 billion US dollars.

OriginTrail (TRAC)

OriginTrail tackles misinformation by enhancing discoverability and ensuring data integrity. It leverages a decentralized knowledge graph that presents a global open data structure composed of interconnected knowledge assets hosted on an open, decentralized node network. TRAC tokens can be used for delegated staking to enhance the security of core nodes on OriginTrail. At the time of writing, TRAC's market cap is approximately 1.88 billion US dollars.

AI16z (AI16Z)

Ai16z (now known as elizaOS) was initially an experimental project aimed at enabling AI agents to autonomously manage encrypted assets in an on-chain DAO, with the vision of empowering AI investment agents to transcend venture capitalists. elizaOS is a framework designed to create, deploy, and manage autonomous AI agents. As a side note, the DAO is still active, with Assets Under Management (AUM) totaling 25 million US dollars. The AI16Z token is primarily used for governance and is the sole access point for users to interact with elizaOS and the DAO. At the time of writing, AI16Z's market cap is approximately 1.5 billion US dollars.

FAI

Freysa is the world's first continuously evolving sovereign agent, meaning that the agent's private key or memory is beyond human control and can operate without human supervision. Although the FAI token has been launched, its utility is still under development. As of the time of writing, FAI's market cap is approximately 1.24 billion US dollars.

PAAL

PAAL AI is committed to leveraging artificial intelligence technologies such as natural language processing, machine learning, and automation to create user-friendly products. One of its products is Paal X, an agent designed to identify and execute profitable opportunities in the cryptocurrency market. According to the project, PAAL offers revenue sharing, staking rewards, and exclusive AI services. As of the time of writing, PAAL's market capitalization has exceeded $1.18 billion.

Build Your Own Artificial Intelligence Agent

Want to build your own AI agent? Here are some platforms you can refer to.

Virtuals Protocol

Virtuals Protocol is a blockchain-based platform built on Base (Coinbase's L2) that allows users to create, own, and deploy AI agents. Tokenization is a core part of the Virtuals Protocol, transforming AI agents into tokenized assets with partial ownership. Therefore, users can own a portion of an AI agent and potentially benefit from its success.

Virtuals Protocol's AI agents are designed to be multimodal, meaning they can interact through text, voice, and 3D animations. They can perform tasks such as item pickups in games or interact with users on platforms like TikTok or Telegram. This is enabled by the GAME (Generative Autotelic Multimodal Entities) framework, allowing seamless integration of AI agents into consumer applications.

The protocol has been in fierce competition with the reigning champion in the crypto AI space, Bittensor. In late November 2024, Virtuals Protocol surpassed Bittensor in user mindshare, only for TAO to reclaim the lead from Bittensor about a week later.

Luna (a live AI agent with a large following on TikTok) and Sekoia (an on-chain venture capital agent) are examples of AI agents on the Virtuals Protocol.

Coinbase Agents

The "Based Agents" launched by Coinbase are artificial intelligence agents built on the Base blockchain. Base is a Layer 2 blockchain developed by Coinbase, aiming to provide a secure, low-cost, and developer-friendly platform for building decentralized applications, including AI agents.

Based Agent is a tool that allows users to create AI agents capable of handling on-chain activities. Using this no-code tool, users can set up an AI agent in three minutes (according to Coinbase) to perform tasks such as trading, swapping, and staking. The setup process requires API keys from the Coinbase Developer Plan and OpenAI Developer Plan, as well as a fork of a Replit template.

What sets Based Agents apart is that they are cryptocurrency-native. These agents are designed to interact directly with blockchain networks and decentralized applications. They can hold and manage cryptocurrency, execute transactions, interact with smart contracts, and more. The best part is the ready-to-use template provided by Coinbase.

Conclusion

The narrative of AI agents is very novel, which inevitably brings additional risks. However, on the bright side, it may become a lasting and revolutionary narrative that can help those unfamiliar with Web3.0 and drive its adoption through simulating human interaction.

From an investment perspective, while artificial intelligence agents can be a powerful tool to navigate the cryptocurrency market, overreliance on them may backfire. Investors may become complacent, overlooking their own research and critical thinking. Before engaging in any crypto investment or trading strategy, be sure to conduct your own research.

FAQ (Frequently Asked Questions)

What are the best cryptocurrency AI agents?

As of the writing of this article, the top 3 AI agent tokens by market capitalization are:

· Fetch.ai (FET)

· Virtual Protocol (VIRTUAL)

· OriginTrail (TRAC)

Where can I buy cryptocurrency AI agents?

You can purchase cryptocurrency AI agent tokens through centralized exchanges like Binance, Bitget, LBank, or OKX. However, centralized exchanges may not have newer tokens like HeyAnon. In that case, you can buy through decentralized exchanges like Raydium. For tokens created using Virtuals, you can directly purchase through the protocol.

Are cryptocurrency AI agents safe?

Cryptocurrency AI agents can generally interact safely, especially on established social platforms, as long as users do not share personal information such as wallet seed phrases, passwords, social security numbers, and other ID or identifying details.

Here is a security checklist for using an AI agent:

· Never share your seed phrase with an AI agent.

· Manually approve large transactions.

· Verify smart contract audits.

Can I Use Artificial Intelligence for Cryptocurrency Trading?

Using artificial intelligence for cryptocurrency trading is still in its early stages. However, Paal X has a model that allows users to automatically trade call options generated by the model, but it requires a paid subscription.

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$COIN Joins S&P 500, but Coinbase Isn't Celebrating

On May 13, S&P Dow Jones Indices announced that Coinbase would officially replace Discover Financial Services in the S&P 500 on May 19. While other companies like Block and MicroStrategy, closely tied to Bitcoin, were already part of the S&P 500, Coinbase became the first cryptocurrency exchange whose primary business is in the index. This also signifies that cryptocurrency is gradually moving from the fringes to the mainstream in the U.S.



On the day of the announcement, Coinbase's stock price surged by 23%, surpassing the $250 mark. However, just 3 days later, Coinbase was hit by two consecutive events: a hack where employees were bribed to steal customer data and a demand for a $20 million ransom, and an investigation by the U.S. Securities and Exchange Commission (SEC) into the authenticity of its claim of having over 100 million "verified users" in its securities filings and marketing materials. These two events acted as mini-bombs, and at the time of writing, Coinbase's stock had already dropped by over 7.3%.


Coincidentally, Discover Financial Services, being replaced by Coinbase, can also be considered the "Coinbase" of the previous payment era. Discover is a U.S.-based digital banking and payment services company headquartered in Illinois, founded in 1960. Its payment network, Discover Network, is the fourth largest payment network apart from Visa, Mastercard, and American Express.


In April, after the approval of the acquisition of Discover by the sixth-largest U.S. bank, Capital One, this well-established digital banking company of over 60 years smoothly handed over its S&P 500 "seat" to this emerging cryptocurrency "bank." This unexpected coincidence also portrayed the handover between the new and old eras in Coinbase's entry into the S&P 500, resembling a relay race scene. However, this relay baton also brought Coinbase's accumulated "external troubles and internal strife" to a tipping point.


Side Effects of ETFs


Over the past decade, cryptocurrency exchanges have been the most stable "profit machines." They play a role in providing liquidity to the entire industry and rely on trading fees to sustain their operations. However, with the comprehensive rollout of ETF products in the U.S. market, this profit model is facing unprecedented challenges. As the leader in the "American stack," with over 80% of its business coming from the U.S., Coinbase is most affected by this.



Starting from the approval of Bitcoin and Ethereum spot ETFs, traditional financial capital has significantly onboarded users and funds that originally belonged to exchanges in a more cost-effective, compliant, and transparent manner. The transaction fee revenue of cryptocurrency exchanges has started to decline, and this trend may further intensify in the coming months.


According to Coinbase's 2024 Q4 financial report, the platform's total trading revenue was $417 million, a 45% year-on-year decrease. The contribution of BTC and ETH's trading revenue dropped from 65% in the same period last year to less than 50%.


This decline is not a result of a decrease in market enthusiasm. In fact, since the approval of the Bitcoin ETF in January 2024, the inflow of BTC into the U.S. market has continued to reach new highs, with asset management giants like BlackRock and Fidelity rapidly expanding their management scale. Data shows that BlackRock's iShares Bitcoin ETF (IBIT) alone has surpassed $17 billion in assets under management. As of mid-May 2025, the cumulative net inflow of 11 major institutional Bitcoin spot ETFs on the market has exceeded $41.5 billion, with a total net asset value of $1214.69 billion, accounting for approximately 5.91% of the total Bitcoin market capitalization.


Chart showing the trend of net outflows for Grayscale among the 11 institutions


Institutional investors and some retail investors are shifting towards ETF products, partly due to compliance and tax considerations. On one hand, ETFs have much lower trading costs compared to cryptocurrency exchanges. While Coinbase's spot trading fee rate varies annually in a tiered manner but averages around 1.49%, for example, the management fee for IBIT ETF is only 0.25%, and the majority of ETF institution fees fluctuate around 0.15% to 0.25%.



In other words, the more rational users are, the more likely they are to move from exchanges to ETF products, especially for investors aiming for long-term holdings.


According to multiple sources, several institutions, including VanEck and Grayscale, have submitted applications to the SEC for a Solana (SOL) ETF, with some institutions also planning to submit an XRP ETF proposal. Once approved, this may trigger a new round of fund migration. According to a report submitted by Coinbase to the SEC, as of April, the platform's trading revenue from XRP and Solana accounted for 18% and 10%, nearly one-third of the platform's fee revenue.



However, the Bitcoin and Ethereum ETFs passed in 2024 also reduced the fees for these two tokens on Coinbase from 30% and 15% to 26% and 10%, respectively. If the SOL and XRP ETFs are approved, it will further undermine the core fee revenue of exchanges like Coinbase.


The expansion of ETF products is gradually weakening the financial intermediary status of cryptocurrency exchanges. From their original roles as matchmakers and clearers to now gradually becoming mere "on-ramps and off-ramps" for funds, exchanges are seeing their marginal value squeezed by ETFs.


Robinhood Takes a Stand, Traditional Brokerages Join the Fray


On May 12, 2025, SEC Chairman Paul S. Atkins gave a keynote speech at the Tokenization and Cryptocurrency Working Group roundtable. The theme of his speech revolved around "It is a new day at the SEC," where he indicated that the SEC would not approach enforcement and regulation the same way as before but would instead pave the way for cryptocurrency assets in the U.S. market.



With signs of cryptocurrency compliance such as the SEC's "NEW DAY" declaration, an increasing number of traditional brokerages are attempting to enter the cryptocurrency industry. One of the most representative cases is the well-known U.S. brokerage Robinhood, which began expanding its crypto business in 2018. By the time of its IPO in 2021, Robinhood's crypto business revenue accounted for over 50% of the company, with a significant boost from the Dogecoin "moonshot" promoted by Musk.


In Q1 2025 earnings report, Robinhood showcased strong growth, especially in revenue from cryptocurrency and options trading. Fueled by Trump's Memecoin, cryptocurrency-related revenue reached $250 million, nearly doubling year-over-year. Consequently, Robinhood Gold subscription users reached 3.5 million, a 90% increase from the previous year, with the rapid growth of Robinhood Gold providing the company with a stable source of income.



Meanwhile, RobinHood is actively pursuing acquisitions in the cryptocurrency space. In 2024, it announced a $2 billion acquisition of the long-standing European cryptocurrency exchange Bitstamp. Additionally, Canada's largest cryptocurrency CEX, WonderFi, which recently went public on the Toronto Stock Exchange, also announced its integration with RobinHood Crypto. After obtaining virtual asset licenses in the UK, Canada, Singapore, and other markets, RobinHood has taken a proactive approach in the compliant cryptocurrency trading market.



Furthermore, an increasing number of brokerage firms are exploring the same path. Futu Securities, Tiger Brokers, and others are also dipping their toes into cryptocurrency trading, with some having applied for or obtained the VA license from the Hong Kong SFC. Although their user bases are currently small, traditional brokerages have a natural advantage in user trust, regulatory licenses, and low fee structures. This could pose a threat to native cryptocurrency platforms in the future.



User Data Breach: Is Coinbase Still Secure?


In April 2025, security researchers discovered that some Coinbase user data was leaked on the dark web. While the platform initially responded by attributing it to a "technical misinformation," it still raised concerns among users regarding its security and privacy protection. Just two days before Dow Jones Indexes announced Coinbase's addition to the S&P 500 Index, on May 11, 2025, Coinbase received an email from an unknown threat actor claiming to have obtained customer account information and internal documents, demanding a $20 million ransom to keep the data private. Subsequent investigations confirmed the data breach.


Cybercriminals obtained the data by bribing overseas customer service agents and support staff, mainly in "non-U.S. regions such as India." These agents abused their access to Coinbase's internal customer support system and stole customer data. As early as February this year, blockchain detective ZachXBT revealed on X platform that between December 2024 and January 2025, Coinbase users lost over $65 million to social engineering scams, with the actual amount potentially higher.


Among the victims was a well-known figure, 67-year-old Ed Suman, an established artist in the art world for nearly two decades, having been involved in the creation of artworks such as Jeff Koons' "Balloon Dog" sculpture. Earlier this year, he fell victim to an impersonation scam involving fake Coinbase customer support, resulting in a loss of over $2 million in cryptocurrency. ZachXBT critiqued Coinbase for its inadequate handling of such scams, noting that other major exchanges have not faced similar issues and recommending Coinbase to enhance its security measures.


Amidst a series of ongoing social engineering incidents, although there has not been any impact on user assets at the technical level so far, it has raised concerns among many retail and institutional investors. Especially institutions holding massive assets on Coinbase. Just considering the U.S. BTC ETF institutions, as of mid-May 2025, they collectively hold nearly 840,000 BTC, and 75% of these are custodied by Coinbase. If we price BTC at $100,000, this amount reaches a staggering $63 billion, which is equivalent to the nominal GDP of two Iceland in the year 2024.


Visualization: ChatGPT, Source: Farside


In addition, Coinbase Custody also serves over 300 institutional clients, including hedge funds, family offices, pension funds, and endowments. As of the Q1 2025 financial report, Coinbase's total assets under management (including institutional and retail clients) reached $404 billion. The specific amount of institutional custodied assets was not explicitly disclosed in the latest report, but it should still be over 50% based on the Q4 2024 report.


Visualization: ChatGPT


Once this security barrier is breached, not only could the rate of user attrition far exceed expectations, but more importantly, institutional trust in it would undermine the foundation of its business. Therefore, after a hacking event, Coinbase's stock price plummeted significantly.


CEXs are All in Self-Rescue Mode


Facing a decline in spot trading fee revenue, Coinbase is also accelerating its transformation, attempting to find growth opportunities in derivatives and emerging assets. Coinbase acquired a stake in the options platform Deribit at the end of 2024 and announced the official launch of perpetual contract products in 2025. This acquisition fills in Coinbase's gap in options trading and its relatively small global market share.



Deribit has a strong presence in non-U.S. markets, especially in Asia and Europe. The acquisition has enabled Coinbase to gain a dominant position in bitcoin and ethereum options trading on Deribit, accounting for approximately 80% of the global options trading volume, with daily trading volume remaining above $2 billion.


Meanwhile, 80-90% of Deribit's customer base consists of institutional investors, with their professionalism and liquidity in the Bitcoin and Ethereum options market highly favored by institutions. Coinbase's compliance advantage, coupled with its already robust institutional ecosystem, makes it even more suitable. By using institutions as an entry point, it can face the squeeze from giants like Binance and OKX in the derivatives market.



Facing a similar dilemma is Kraken, which is attempting to replicate Binance Futures' model in non-U.S. markets. Since the derivatives market relies more on professional users, fee rates are relatively higher and stickiness is stronger, making it a significant source of revenue for exchanges. In the first half of 2025, Kraken completed the acquisition of TradeStation Crypto and a futures exchange, aiming to build a complete derivatives trading ecosystem to hedge the risk of declining spot transaction fee income.


With the surge of Memecoin in 2024, Binance, OKX, and various CEX platforms began massively listing small-market-cap, highly volatile tokens to activate active trading users. Due to the wealth effect and trading activity of Memecoins, Coinbase was also forced to join the battle, successively listing popular tokens from the Solana ecosystem such as BOOK OF MEME and Dogwifhat. Although these coins are controversial, they are frequently traded, with fee rates several times higher than mainstream coins, serving as a "blood-boosting" method for spot trading.


However, due to its status as a publicly traded company, this practice is a riskier endeavor for Coinbase. Even in the current crypto-friendly environment, the SEC is still investigating whether tokens like SOL, ADA, and SAND constitute securities.


In addition to the forced transformation strategies carried out by the aforementioned CEXs, they are also starting to lay out RWAs and the most talked-about stablecoin payment fields, such as the PYUSD launched through a collaboration between Coinbase and Paypal, Coinbase's support for the Euro stablecoin EURC by Circle that complies with EU MiCA regulatory requirements, or the USD1 launched through a collaboration between Binance and WIFL. In the increasingly crowded trading field, many CEXs have shifted their focus from just the trading market to the application field.


The golden age of transaction fees has quietly ended, and the second half of the crypto exchange platform game has silently begun.


Key Market Insights for May 16th, how much did you miss out on?

1. On-chain Flows: $111.3M inflow to Ethereum this week; $237.6M outflow from Berachain 2. Largest Price Swings: $ETHFI, $NEIRO 3. Top News: Data: Solana Network's revenue reached $7.9M on the 13th, surpassing the sum of all other L1 and L2 chains

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