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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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