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#SEC #Crypto Over the past few days, the U.S. Securities and Exchange Commission (SEC) has been extremely active in the crypto sector. In particular, with the convening of events such as the sixth crypto roundtable and the fourth Investor Advisory Committee meeting, SEC Chairman Paul Atkins has delivered multiple speeches addressing the crypto space, covering areas including privacy, custody, regulation, and AI. If one were to use a single word to summarize the SEC’s recent actions in the crypto domain, it would be neither “tightening” nor “loosening,” but reconstruction. On the surface, the SEC is still talking about risks, custody, and investor protection. But put another way, the SEC is no longer trying to suppress the crypto industry using traditional financial templates. Instead, it has begun to consider a more realistic question: under the irreversible trend toward on-chain systems, where should regulation actually position itself? The core of this shift does not lie in any single specific rule, but in the regulatory philosophy itself. Click to register SuperEx Click to download the SuperEx APP Click to enter SuperEx CMC Click to enter SuperEx DAO Academy — Space Development 1: Privacy and Security — The SEC Publicly Acknowledges for the First Time That “Regulation May Have Gone Too Far” In recent public remarks, the SEC Chairman used a striking and rare analogy: if regulatory approaches are mishandled, blockchain technology could be distorted into “the most powerful financial surveillance system in history.” This was not an emotional statement, but a highly consequential boundary warning. Blockchain’s transparency was originally designed to reduce trust costs, improve settlement efficiency, and reduce intermediary friction. But if regulatory logic evolves into the following: every wallet is treated as a potential broker every line of code is treated as a trading venue every on-chain transfer is presumed to require prior or subsequent reporting then blockchain’s technical advantages would be completely reversed into a form of infrastructure that is “natively auditable, inescapable, and permanently traceable.” This touches on a long-avoided question: does compliance necessarily mean total visibility? This shift in the SEC’s stance releases at least three important signals: First, regulators have realized that “technology neutrality” cannot remain at the level of slogans. If regulatory outcomes completely contradict the original intent of the technology, that is not neutrality, but misuse. Second, privacy is no longer being treated as the “opposite” of regulation. The previous narrative was: the stronger the privacy, the harder the regulation. The narrative is now beginning to shift toward how regulation can function without sacrificing privacy. Third, regulators are beginning to acknowledge that over-compliance itself is a form of systemic risk. This is the first time in many years that the SEC has so clearly left room, in a public context, for the concept of “regulatory self-restraint.” Development 2: Crypto Asset Custody — The SEC Delivers a Long-Overdue Basic Lesson for Retail Investors Note: On December 12, the U.S. SEC officially published guidance aimed at retail investors on the fundamentals of crypto asset custody, to help them decide how to hold crypto assets in the best possible way. If discussions around privacy and surveillance are more macro-level, then the SEC’s recently released guidance on crypto asset custody is clearly a practical response directed at ordinary investors. This content appears basic on the surface, but its significance is substantial. It does not discuss whether tokens are securities, nor does it touch on enforcement intensity. Instead, it returns to the most fundamental — and also the most failure-prone — aspect of the crypto world: how do you actually “hold” crypto assets? In traditional finance, this question almost does not exist. When you hold stocks, custody is handled by banks, brokers, and custodians. But in the crypto world, the SEC has for the first time clearly stated, in official language, a simple fact: wallets do not store assets, they store private keys. If the private key is lost, the asset effectively ceases to exist. Behind this statement lies a subtle shift in regulatory attitude. In the past, regulators tended to attribute risk to “market immaturity,” “project fraud,” or “technical vulnerabilities.” Now, the SEC is increasingly directing risk attribution toward institutional design itself — including whether regulatory boundaries have been overstepped, whether compliance frameworks have distorted technological forms, whether privacy has been excessively sacrificed, and whether overly centralized regulation is creating new forms of systemic risk. Especially in its comparison between self-custody and third-party custody, the SEC did not simply side with one model. Instead, it repeatedly emphasized a practical reality: self-custody gives you absolute control, but also absolute responsibility third-party custody lowers operational complexity, but introduces credit and bankruptcy risk This is not an endorsement of centralized platforms, but a reminder to investors that there is no “risk-free option” in the crypto world — only choices with different risk structures. More importantly, the SEC repeatedly referenced issues such as privacy protection, data usage, rehypothecation, and commingling of assets in this guidance. In reality, this is laying the conceptual groundwork for more granular custody regulation in the future. Regulatory logic is shifting from “punishing illegal behavior” toward “standardizing infrastructure behavior.” Development 3: On-Chain Capital Markets — The SEC Is Redefining “What Counts as Innovation” What truly captured market attention was the SEC’s recent systematic statements around blockchain, tokenization, and AI. At the fourth Investor Advisory Committee meeting in 2025, SEC Chairman Paul Atkins delivered a highly anticipated speech. This address was not only his annual summary-style remarks, but also a systematic articulation of the future development path of U.S. capital markets. If one focuses only on keywords, it would be easy to misinterpret the speech as “the SEC is embracing blockchain.” A more accurate interpretation is that the SEC is not relaxing regulation, but redefining its boundaries and methods. In the relevant remarks, the SEC clearly conveyed one position: the issue is not “on-chain versus off-chain,” but whether market efficiency, transparency, and the quality of investor protection are improved. This directly rejects the previous blunt regulatory approach of forcing all on-chain protocols into outdated definitions of “exchanges” or “brokers.” The SEC also, for the first time, systematically distinguished between several different tokenization pathways: natively issued on-chain securities structures that map traditional asset rights onto the blockchain synthetic products that only reflect price and do not involve ownership rights This distinction itself signals that regulation is no longer attempting a one-size-fits-all approach. Even more noteworthy is the SEC’s explicit mention of making good use of exemptions and transitional frameworks to provide experimental space for on-chain finance. Behind this lies a very pragmatic judgment: if U.S. regulation does not leave windows for innovation, innovation will not disappear — it will simply relocate. Development 4: AI × Crypto — Regulators Do Not Want to Repeat the Mistake of “Over-Checklist Regulation” On the topic of AI, the SEC’s attitude is equally revealing. As companies enthusiastically embrace AI, the SEC has not chosen to issue a long list of “mandatory disclosure items,” but has instead emphasized continued adherence to the principle of materiality. This reflects a reassessment of past regulatory experience. Overly detailed disclosure checklists often lead to two outcomes: mechanical compliance by companies resulting in distorted information, and regulatory fatigue where rules rapidly become outdated due to the pace of technological change. The SEC clearly does not want to replicate this failed path in the overlapping domain of AI and crypto. Regulators are beginning to acknowledge that the pace of technological change has already become too fast to be covered by exhaustive rules. Therefore, rather than prescribing “what you must do,” it is more effective to return to a more fundamental question: does this technology materially affect your business, risks, and financial condition? This represents a clear “return to principles.” Conclusion: Regulation Is No Longer Trying to Be a “Roadblock” When these developments are viewed together, a clear trend emerges: the SEC is actively trying to shed its role as the “opposition to innovation.” It continues to emphasize investor protection, market integrity, and compliance boundaries, but the approach is changing — from “expanding definitions and compressing space” to “clarifying boundaries and releasing flexibility.” For the market, this does not mean that risk has disappeared, nor does it signal deregulation. But it does mean that the crypto industry is entering a stage where it can be discussed, designed, and institutionalized. The real test lies not in what regulators say, but in whether, over the next few years, these ideas can be translated into rules that are executable, predictable, and do not excessively drain innovative energy.

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#Solana #Sol Solana can be considered a miracle. You will find that there are very few public blockchains like Solana that rose rapidly, then experienced extreme moments of brilliance, and also endured collective doubt. It was once called an “Ethereum killer,” and it was once sentenced to “death” because of outages and the collapse of FTX. But in 2024–2025, it once again stood at the center of the stage, becoming one of the most active main battlefields for Meme, DePIN, NFT, PayFi, and AI Agent ecosystems. What exactly is Solana? Why can it be outrageously fast? And why can it never escape the controversies around “centralization” and “stability”? In this article, we will explain everything clearly in one go. Solana Explained Clearly in One Sentence Solana is a Layer 1 public blockchain whose core design goal is “extreme performance first.” To put it in even more straightforward terms: what Solana wants to be is a Layer 1 public blockchain that is as fast as Web2, but still runs on blockchain infrastructure. It was not born for “store of value.” From the very beginning, it targeted heavy scenarios such as high-frequency trading, payments, and large-scale on-chain application execution. Solana’s “Speed” Is Not About TPS, but About the “Extremeness” of Its Architectural Choices When many people talk about Solana, they always end up focusing on one number: TPS is very high, at the level of hundreds of thousands or even millions. But if you only stare at TPS, you are actually underestimating Solana’s real value, and also misunderstanding the source of its controversies. The essence of Solana is not “slightly optimizing performance,” but making a complete set of architectural trade-offs at the blockchain base layer that are entirely different from Ethereum. What it pursues is not “finding a balance between decentralization, performance, and security,” but making a clear choice: performance first, and then using engineering methods to backstop the other issues. 1. Proof of History: Taking “Time” Out of Consensus In most blockchains, “time” itself is an extremely costly thing, because nodes do not know who saw a transaction first. They can only rely on: continuous communication repeated reconciliation multiple rounds of voting to confirm transaction ordering. Solana’s Proof of History does something very counterintuitive: it no longer lets the entire network negotiate time. Instead, it generates an unfalsifiable timeline in advance. Through a Verifiable Delay Function (VDF), it continuously produces a hash chain, where each hash naturally represents that a certain amount of time has already passed. What does this mean? Once a transaction enters the network, it can be “pinned” to a specific point in time. Validators only need to verify whether the order is correct, rather than renegotiating the order. This dramatically reduces the communication complexity at the consensus layer. This step is not “speeding up consensus,” but reducing the amount of work that consensus itself needs to do. So Solana is fast not because nodes are more diligent, but because it makes nodes do much less work. 2. Sealevel Parallel Execution: Not a Faster EVM, but “Not EVM” Solana’s second core component is the Sealevel parallel execution engine. In the EVM world, most transaction logic is implicit: contracts decide by themselves which state they read and write, and nodes can only execute transactions sequentially to avoid state conflicts. This leads to one result: even if two transactions are completely unrelated, they still have to queue. Solana instead requires transactions to “declare first, then execute.” Transactions must declare in advance which accounts they will read and which accounts they will write. Validators can determine conflicts ahead of time, and if there is no conflict, transactions can be executed in parallel. This allows Solana to truly utilize modern servers’ multi-core CPUs, instead of only using a small portion of computing power like traditional blockchains. This is also why Solana is particularly suitable for: high-frequency DEXs order books on-chain matching real-time games and payments It does not treat the blockchain as merely a “settlement layer,” but attempts to treat it as a high-performance state machine. 3. Trading Hardware for Performance: This Is a Design Choice, Not a Technical Flaw Solana’s biggest point of controversy is actually very simple: high node requirements — high bandwidth, high memory, high IO, and high compute power. This directly leads to: slower growth in the number of validator nodes difficulty for ordinary users to run nodes themselves it being more easily questioned as “centralized” But one thing must be distinguished clearly: is this an “unavoidable compromise,” or an “active choice”? The Solana team’s logic has always been very clear: hardware will continue to improve, while software bottlenecks are extremely difficult to break. Rather than limiting the upper bound in order to accommodate low-performance devices, it is better to raise the upper bound directly and run the network at the real-world limits of hardware. You may disagree with this path, but it is not laziness. It is an extremely aggressive engineering decision. 4. In Summary, Solana’s Speed Comes From Three Things Using PoH to reduce consensus communication costs Using Sealevel to achieve true parallel execution Using hardware specifications in exchange for system throughput The costs are equally obvious: higher operational complexity stricter engineering stability requirements extreme sensitivity to clients, networks, and synchronization mechanisms This is also why Solana experienced multiple outages in its early stages. This was not a design failure, but rather problems being exposed earlier under extreme conditions. Solana’s True Positioning: Not Ethereum 2.0, but On-Chain Web2 If Solana must be given an accurate positioning, it is more like a “high-performance application platform” in the blockchain world, rather than a financial settlement layer. What does this mean? it is more suitable for large user bases and high-frequency interaction it is more suitable for Meme, NFT, payments, and DePIN it does not pursue extreme decentralization it accepts a certain degree of engineering compromise This is completely different from Ethereum’s philosophy, but it does not conflict with it. Solana’s Explosion Was Not Driven by VC, but by “Real Usage” Some people ask why the Solana ecosystem was able to explode again in 2024–2025. In fact, many people overlook one point: Solana’s explosion was not driven by VC, but by real usage. 1. Memes Brought Real Transaction Volume low gas fees second-level confirmation retail-user friendly These factors made Solana the most natural breeding ground for Memes. Many Memes are not “high-end,” but they brought real on-chain transaction volume, fees, and active addresses. 2. NFTs Shifted From “Art” to “Consumer-Grade Applications” The advantages of Solana NFTs lie in: extremely low minting costs user experience close to Web2 better suitability for large-scale issuance This allows NFTs to no longer remain mere collectibles, but begin evolving toward consumer-grade applications such as: tickets memberships in-game assets 3. PayFi and Stablecoin Transfer Scenarios USDC and USDT transfers on Solana are: almost imperceptible extremely low cost excellent in user experience In emerging markets, Solana has in practice already taken on part of the role of payment infrastructure. Unavoidable Controversies: Talking About Solana Cannot Only Focus on the Positive Side ❌ Outage history Solana has repeatedly experienced: network congestion block production halts validator restarts For “financial-grade infrastructure,” these are serious flaws. ❌ High validator threshold high hardware costs high degree of specialization relatively concentrated validator distribution This has long caused Solana to be questioned in terms of its degree of decentralization. ❌ Strong engineering orientation rather than extreme security orientation Solana’s choice is essentially: get applications running first, then talk about perfect security. This is an engineering philosophy, not a mistake, but it is not something everyone can accept. Conclusion: Solana’s Value Lies in the Fact That It Is Truly Being “Used” In the crypto industry, many narratives exist only in PPT slides, while Solana’s value is reflected more in on-chain data. It is not perfect, but it is real, aggressive, and efficient. For developers, it is a tool; for users, it is an experience; for the market, it is a choice. And choice itself is the most important meaning of the crypto world.

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Over the past week, the crypto primary market disclosed a total of 24 funding events, with cumulative financing of approximately $190 million. In the current market environment, this number is not considered aggressive, but its structural characteristics are extremely clear: Capital is highly concentrated in infrastructure and real applications Speculative narratives are cooling down significantly Stablecoins, payments, cross-chain, RWA, AI, and security have become the main themes This reveals one key fact: capital is positioning itself ahead of time for the “next adoption cycle,” rather than paying for short-term price speculation. Largest Funding of the Week: LI.FI Amount: $29 million (Series A) LI.FI’s latest round was led by Multicoin Capital and CoinFund, making it the largest funding of the week. Unlike a single cross-chain bridge or DEX, LI.FI positions itself more like an “operating system layer for cross-chain liquidity.” It does not attempt to create new liquidity sources; instead, it orchestrates existing bridges, DEXs, AMMs, and aggregators through an abstraction layer. Its core value lies in three aspects: Developer-friendly: Through API / SDK / Widget integration, applications can gain multi-chain swapping capabilities within hours rather than weeks. User-experience-first: Users do not need to understand “cross-chain paths”; they only see the outcome: the fastest, cheapest, and safest result. Aligned with account abstraction and intent trends: LI.FI is naturally compatible with the new paradigm of “users express intent, systems execute automatically.” From a capital perspective, this is an infrastructure investment made in anticipation of the upcoming Web3 application-layer explosion. Seed and Early-Stage Projects: Real Demand Is Emerging 1. Ezeebit Amount: $2.1 million (Seed round)，Investors include Raba Partnership, Founder Collective, and Terry Angelos. Ezeebit has chosen a path completely different from the “DeFi narrative” — offline real-world commercial payments. Its focus is not on crypto-native users but on solving a long-neglected issue: How can merchants in developing countries access stablecoin payments at low cost? Ezeebit provides a full merchant toolchain: POS / e-POS Stablecoin acceptance Fiat settlement Compliance integration Projects like this often do not depend on bull markets; they depend on real transaction volume. 2. Incentive Amount: Undisclosed (Seed round) Incentive’s angle is highly “counter-cyclical”: it focuses on failed DeFi assets, liquidation residues, and historical losses. Essentially, it is doing one thing — turning “illiquid failed positions” into financial assets that can be priced and traded. This is a highly specialized but potentially massive niche, especially in late-bear-market environments. 3. Pheasant Network Amount: $2 million (Seed round) Pheasant does not simply replicate traditional cross-chain bridge models. Instead, it introduces intent-driven cross-chain execution, where the logic is: users only need to express “I want to go from A to B,” and the system automatically selects the optimal route and uses optimistic verification to reduce cost. This is fully aligned with current Intent-Based Architecture. 4. AllScale Amount: $5 million (Seed round) AllScale’s positioning is closer to a “global banking tool for the Web3 era,” serving: DAOs Web3 startups Freelancers Cross-border SMEs It tackles inefficiencies in traditional finance: cross-border settlement, payroll distribution, and compliance costs. 5. Pye Finance Amount: $5 million (Seed round) Pye Finance is one of the most noteworthy projects in the Solana ecosystem this week. It re-financializes “staking accounts,” turning them into tradable assets, thereby: Unlocking staked liquidity Enabling customizable yield structures Connecting to downstream DeFi reuse scenarios This marks Solana’s ongoing progress in building an native yield-finance layer. M&A and Strategic Funding: TradFi Is “Quietly Entering” Several M&A events this week are worth noting: Stripe acquired Valora Robinhood acquired Buana Capita Nexo acquired Buenbit These acquisitions share one common point: TradFi is no longer merely “testing” Web3 — it is directly buying ready-made access channels. Compared with building from scratch, acquiring licenses, user bases, and regional networks is clearly more efficient. AI, Security, RWA: Capital Is Betting on the “Next Certainties” TestMachine ($6.5 million): The combination of AI + blockchain security indicates that auditing is evolving toward automation and continuous monitoring. Surf ($15 million): AI is no longer just an “analysis tool,” but an execution hub. Real Finance ($29 million): RWA remains one of the clearest directions for institutional capital. Crown ($13.5 million): Compliant stablecoins — particularly national or local currency stablecoins — are becoming a major battleground. SuperEx Research Institute Summary: Capital Is Returning to “Executable” Infrastructure Logic In a market atmosphere that remains cautious and volatile, the crypto industry still completed 24 financing deals last week, totaling around $190 million. From both quantity and scale, this is not an explosive uptick — but its structural characteristics are highly meaningful. Capital is systematically avoiding “pure narratives” and instead betting on real demand, sustainable cash flow, and infrastructure-level projects. 1. Funding Has Not Cooled Down — but Its Direction Has Shifted Clearly If we look only at the numbers, nearly $200 million in weekly financing is not low, especially when the market is concerned about entering a “liquidity tightening phase.” The truly important question is not “Is there money?” but rather “Where is the money going?” Unlike the 2021–2022 cycle — when huge capital inflows went to NFTs, GameFi, and narrative-driven L1s — this round of funding displays highly consistent features: Focus on infrastructure, not short-term application hype Focus on “connection layers” and “service layers,” not single protocols Focus on stablecoins, payments, compliance, institutional services — not high-volatility assets This shows that today’s risk capital is not expecting “emotion-driven pumps,” but is building the foundation for the next structural growth cycle. 2. Cross-Chain, Payments, and Stablecoin Projects Continue to Attract Heavy Funding Across segments, cross-chain liquidity, payment infrastructure, and stablecoin-related financial services remain the top choices for investors. Funding in the cross-chain space is not about betting on new narratives — it solves a real problem: the multi-chain world is already here, but user experience is still fragmented. Capital clearly prefers projects with “abstraction capabilities” — those that hide the complexity of bridges, DEXs, and routing layers — rather than single-chain or single-bridge extensions. Payments and stablecoins show another layer of consensus: Web3 is shifting from asset speculation toward a settlement network. Whether it’s merchant payments in emerging markets or “crypto-native banking” for Web3 teams, DAOs, and freelancers — the competition is for one key gateway: the real usage scenarios of stablecoins. 3. Institutional and Compliance-Oriented Projects Are Increasing Significantly A notable trend in last week’s funding list: projects focused on institutions, compliance, and licensing are increasing rapidly. Such projects typically: Serve institutions, enterprises, or high-net-worth individuals Resemble TradFi products but run on blockchain rails Have clear revenue models — fees, custody, market-making, service charges This reflects a realistic shift: institutional capital is no longer “testing the waters” — it is preparing for long-term allocation. Especially in RWA, on-chain brokerage, and compliant stablecoins, investors care more about “whether it can integrate into existing financial systems” than whether it is aggressive or flashy. 4. AI + Crypto Is Transitioning From Concept to Practical Tools Notably, several funding events this week involved deep AI-blockchain integration — but the form is now entirely different from earlier “AI narrative tokens.” Funded AI projects today lean toward: Security auditing and risk monitoring productivity tools Data aggregation, research, and trading-assistant systems Execution-layer and decision-layer tools for professional users This shows AI’s role in Web3 is shifting — from a “story amplifier” to an efficiency amplifier. Capital now expects AI not to boost valuations but to improve operational efficiency across the crypto industry. 5. Frequent M&A and Strategic Investments Signify an Industry Moving Into Consolidation M&A and strategic investments accounted for a significant portion of last week’s deals — a pattern usually seen when an industry moves from “wild growth” to “structural optimization.” Large platforms acquire: Compliance licenses Regional market access Technology or user bases This indicates the crypto industry is shifting from “competing on imagination” to “competing on resource integration.” In the future, small and mid-sized projects must either become niche experts or be absorbed into larger ecosystems. Conclusion: A Phase That Is “Slower — but More Real” Taken together, last week’s funding activity sends a clear message: the market has not abandoned crypto — it has abandoned crypto that cannot land in real use. Capital is preparing for the next cycle — not gambling on short-term market movements. Infrastructure, payments, stablecoins, institutional services, and AI tooling may seem less “sexy” in the short term, but they determine whether Web3 can truly enter mainstream finance and commercial systems. From an investment perspective, this is a return to fundamentals; from an industry-development perspective, it is a necessary and healthy evolution. The SuperEx Research Institute believes: When funding increasingly flows toward projects that “nobody discusses daily, but everyone uses daily,” it often means a long-term growth cycle is quietly forming.

#AMM #EducationalSeries If you stay in the crypto trading market long enough, you’ll eventually notice a very magical phenomenon: in a decentralized exchange (DEX), you can always buy the token you want, and you can always sell the token you want. Even stranger — you’re not actually trading with “a specific person.” Although you never wait for a counterparty, and no one is placing limit orders for you, something magical happens: once you click “trade,” a price appears instantly, and settlement happens on-chain immediately. So here come the questions: Who is matching these trades? Who provides the quotes? Why can a completely unattended DEX operate 24/7? How does it determine the price? Why does the price rise the more you buy during a bull market for tokens like X2Y2, UNI, PEPE? Why can someone earn fees just by depositing liquidity? Why do others say “LPs lose money” because of something called “impermanent loss”? The core answer to all of these questions points to one term: AMM (Automated Market Maker). Today, we’ll explain AMM thoroughly — from the underlying logic to its limitations to its future trajectory — in the most understandable way possible. https://news.superex.com/articles/23181.html Imagine Crypto Trading from 2014–2017 Back then: If you wanted to trade tokens, you had to use a centralized exchange (CEX). Trading fully depended on an order book. No one posts a sell order? You can’t buy. No one posts a buy order? You can’t sell. The typical matching method was: Buy orders: how much someone is willing to pay Sell orders: how much someone is willing to accept The exchange system matches them This is the order book model, and it had many problems: ❌ 1. Liquidity was fragmented — if no one placed orders for a new token, it simply had no market. ❌ 2. Market-making was expensive, requiring professional market makers to maintain buy and sell depth. ❌ 3. Markets could be manipulated easily, with tricks like “pulling the plug,” flash crashes, fake order spoofing, etc. ❌ 4. Everything was stored in centralized exchanges, so users had no true asset ownership and security was limited. Therefore, in decentralized exchanges, the order book model simply does not work because: On-chain matching is too expensive Posting orders is too slow Updating order books on-chain is extremely inefficient So AMM was born — and with one simple idea, it overturned the entire trading model:A counterparty is no longer needed. You trade against a “liquidity pool.” Essential Things About AMM 1. The Core Magic of AMM: The Liquidity Pool The breakthrough invention of AMM was combining all tradable assets into a single pool. For example, in an ETH/USDT liquidity pool: Person A deposits ETH Person B deposits USDT Person C deposits both ETH + USDT Person D only wants to earn fees and also deposits both tokens All contributions form a shared inventory called a liquidity pool (LP Pool). If you want to buy ETH, you deposit USDT into the pool, and the pool gives you the equivalent amount of ETH at the current price. If you want to sell ETH, you deposit ETH into the pool, and the pool gives you USDT at the current price. Something magical happens here — as a trader, you realize: No need for a counterparty No need for order placement No need for a market-making team No waiting at all The pool is your counterparty. And the more trading happens, the more the pool earns because fees are distributed to all LPs proportionally. This is why AMM trades execute instantly. 2. The Soul of AMM: x * y = k Uniswap used an extremely simple formula that changed the entire industry: TokenA_amount × TokenB_amount = constant_k， This is the Constant Product Market Maker model. Example: Suppose an ETH/USDT pool is initialized with:100 ETH = 100,000 USDT，Initial price = 100,000 / 100 = 1,000 USDT/ETH.Thus k = 100 × 100,000 = 10,000,000 If you buy 1 ETH from the pool, ETH decreases to 99, and to maintain x*y=k, USDT must increase to around 101,010.1. This causes the price of ETH to rise slightly.The more aggressive the trading, the more drastic the price moves. This results in the classic effects: “The more you buy, the more expensive it gets” “The more you sell, the cheaper it gets” This is also why AMM prices adjust automatically. How Does AMM Make Money? — Fees + MEV + Arbitrage AMMs replace traditional market makers with automated algorithms, allowing anyone to deposit liquidity and become an LP, earning fees and on-chain incentives. But why can AMMs run sustainably? Where does “profit” actually come from?There are three engines:Trading Fees、MEV Capture and Arbitrage-Based Price Realignment. Let’s break them down. 1. Trading Fees — The Primary Source of LP Income Most AMMs (Uniswap v2/v3, PancakeSwap, Curve) charge a fixed percentage fee: 0.3% (most common) 0.05% (stablecoin pools) 0.1% (some lightweight AMMs) These fees do not go to the platform — they go entirely to LPs. Meaning:The higher the trading volume, the higher the LP returns.If a pool has $20M in daily trading volume, with a 0.3% fee:LP Daily Revenue = $20M × 0.3% = $60,000.Thus, AMM’s ceiling depends heavily on volume + liquidity depth. 2. Arbitrage: The Invisible Engine That Keeps AMM Prices Accurate The price of an AMM is automatically calculated by formulas (such as x*y = k), and does not synchronize directly with external markets. Once a deviation appears, arbitrage opportunities emerge: When the ETH price in the AMM is lower than on the CEX → arbitrageurs buy on the AMM and sell on the CEX； When the ETH price in the AMM is higher than on the CEX → arbitrageurs buy on the CEX and sell on the AMM； Arbitrage itself = arbitrageurs make money + the AMM automatically returns to its fair price. This brings two structural benefits: ① The AMM does not need manual intervention to maintain price stability Traditional markets require market makers to constantly adjust buy and sell orders; AMMs rely entirely on arbitrageurs to automatically correct prices. ② Arbitrageurs take on the role of “liquidators” An AMM will never allow prices to drift infinitely, because arbitrageurs will always step in to buy low and sell high until both sides return to equilibrium. This is why arbitrageurs are called the AMM’s Natural Market Maker. Through their actions, they maintain the long-term stability of the economic system. 3. LP Incentives — Extra Earnings Beyond Fees To attract more liquidity, many AMMs also provide additional incentives: platform token rewards liquidity mining staking rewards ecosystem airdrops This forms a flywheel effect:Liquidity → Better trading → Higher volume → Higher fees → More LPs Summary of AMM Revenue Sources (1) Trading Fees — Stable base income (2) Arbitrage — Keeps pricing fair, enabling more trading (3) Incentives — Boosts LP returns SuperEx Free Market AMM SuperEx’s AMM calculates buy and sell prices based on formulas, providing continuous quotes for the market. In terms of trading mechanisms, SuperEx adopts a combined AMM + order book model, where the system automatically converts the liquidity pool into an order book to offer users a better trading experience. AMM is widely used in the blockchain decentralized finance (DeFi) ecosystem and is one of the core technologies behind decentralized exchanges (DEX) such as Uniswap, SushiSwap, and Curve. How Is AMM Different From Traditional Market-Making Methods? In traditional financial markets, market makers maintain liquidity by providing buy and sell quotes, while AMMs achieve automated liquidity provisioning through smart contracts and preset algorithms, enabling trades to execute autonomously while maintaining relatively stable liquidity. Below are the main differences: 1. Liquidity Provision Method Traditional market making: Liquidity is provided by professional market makers, typically using complex algorithms and market strategies to place orders on both the buy and sell sides, earning profits from the bid-ask spread. AMM: Decentralized — any user can become a liquidity provider (LP) by depositing funds into a liquidity pool, earning trading fees without requiring professional knowledge. 2. Pricing Mechanism Traditional market making: Prices are driven by the order book. Buy and sell orders are manually matched according to market supply and demand. AMM: Prices are dynamically calculated through algorithmic formulas (such as Uniswap’s x * y = k). No order book is required, transactions complete instantly, and users do not need to wait for a counterparty. 3. Liquidity Efficiency Traditional market making: Liquidity depends on the strategies of professional market makers; during periods of high market volatility, liquidity shortages may occur. AMM: Liquidity pools are always available, but when one asset in the pool becomes severely imbalanced, large slippage may occur. 4. Applicable Scenarios Traditional market making: Primarily used in centralized exchanges (CEX), suitable for users engaged in high-frequency trading and complex order types. AMM: Mainly applied in decentralized exchanges (DEX), lowering participation thresholds and attracting more everyday users. 5. Revenue Distribution Traditional market making: Revenue goes exclusively to market makers; ordinary users cannot directly participate. AMM: Liquidity providers earn transaction fees by depositing funds, allowing anyone to participate and share revenue. With AMM, You Can Earn Fee Share in Just 3 Steps — In 1 Minute! In practical use, users only need three steps to start earning liquidity rewards: Log in to the SuperEx platform; Select the target token pair; Deposit the token and USDT into the liquidity pool and begin earning revenue. No large capital is required, no complex API setup is needed, and no professional market-making team is necessary. Any user can get started within one minute — enabling ordinary users to easily participate in liquidity market-making. Appendix: AMM Glossary (20 Terms) AMM — Automated market maker LP — Liquidity provider k-value — Constant in constant product formula Slippage — Difference between expected and actual execution price Impermanent loss — Temporary loss from volatile price movements Liquidity pool — Smart contract holding token pairs Stablecoin pool — Low-slippage pool for pegged assets Liquidity mining — Token rewards for providing liquidity Price oracle — External market price feed Concentrated liquidity — LPs provide liquidity only within chosen price ranges Dynamic fee — Fee adjusts automatically based on volatility Token pair — Two assets in a liquidity pool Cross-chain AMM — AMM supporting assets across multiple chains Perpetual AMM — AMM integrated with derivatives pricing Aggregated trading — Routing through multiple AMMs for best execution Capital efficiency — Liquidity utilization across price ranges MEV — Miner Extractable Value RWA — Real-world assets tokenized on-chain Protocol-Owned Liquidity — Liquidity owned by the protocol itself Impermanent gain — When impermanent loss reverses into profit if prices revert Conclusion: AMM Reshapes the Boundaries of Finance AMM freed blockchain trading from human limitations and redefined the nature of “markets.” It hands trust to code, pricing to algorithms, and liquidity to the participants. In traditional markets, market makers are few; in an AMM world, everyone can become a market maker.This is the beauty of decentralized finance (DeFi) — everyone can become part of the market, and everyone can empower liquidity.

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