# Сопутствующие статьи по теме AMM

Новостной центр HTX предлагает последние статьи и углубленный анализ по "AMM", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

When Big Money Seriously Enters the Market, How Does the Liquidity Bottleneck of RWA Manifest?

When large capital enters the market, the liquidity bottlenecks of Real-World Asset (RWA) tokenization become evident. Tokenized assets, such as gold (e.g., PAXG, XAUT) and stocks (e.g., TSLAx, NVDAx), suffer from significant slippage and shallow market depth compared to traditional markets like CME. For instance, a $4 million trade in tokenized gold can incur up to 150 basis points of slippage, while traditional markets show negligible impact even at $20 million. Decentralized exchanges (DEXs) exacerbate the issue, with trades sometimes facing premiums as high as 68% or persistent slippage of 25–50 basis points. Liquidity shortages also destabilize market structure, causing price volatility and cascading effects like cross-platform liquidations, as seen with PAXG on Binance triggering $9 million in liquidations on Hyperliquid. These problems stem from structural constraints: high minting/redemption fees, slow redemption cycles (T+1 to T+5), and capital inefficiencies for market makers. Without deep, reliable liquidity, tokenized assets struggle to scale, hindering their use as collateral or in DeFi. The solution requires a new market structure that integrates off-chain liquidity, eliminates redemption delays, and avoids fragmenting liquidity across platforms. Tokenization itself isn’t flawed, but the current market infrastructure fails to support it at scale.

比推01/16 15:07

When Big Money Seriously Enters the Market, How Does the Liquidity Bottleneck of RWA Manifest?

比推01/16 15:07

The Hidden Costs and Structural Dilemmas of Tokenized Assets

Tokenized assets face a critical structural challenge: a severe lack of deep, reliable on-chain liquidity. While tokenization promises to unlock trillions in traditional assets for DeFi, the reality is that markets for tokens like gold (PAXG, XAUT) and stocks (e.g., TSLAx, NVDAx) are extremely shallow compared to their traditional counterparts (e.g., CME). This results in exponentially higher slippage—often exceeding 100 basis points for trades over $4M—and makes large transactions costly or impossible. Fragile liquidity also leads to market instability, such as flash crashes on exchanges that trigger cascading liquidations across connected DeFi protocols. The root cause is a misalignment with market makers' incentives: high minting/redemption fees, slow settlement times, and capital lock-ups make providing liquidity for tokenized assets inefficient and risky. Without a new market structure that bridges on-chain access with off-chain liquidity depth, tokenization will remain stuck in a low-liquidity equilibrium, limiting its scalability and utility in DeFi.

marsbit01/16 06:51

The Hidden Costs and Structural Dilemmas of Tokenized Assets

marsbit01/16 06:51

When Big Money Gets Serious, RWA Liquidity Issues Come to the Fore

Liquidity is the foundation of asset confidence, but the reality for tokenized real-world assets (RWA) like gold and stocks reveals a critical structural flaw. While tokenization promises enhanced capital fluidity and DeFi integration, most tokenized assets suffer from dangerously thin liquidity, making them impractical for meaningful capital deployment. Analysis shows extreme slippage in major tokenized gold assets (PAXG, XAUT). A $4 million trade incurs nearly 150 basis points (bps) of slippage on perpetual exchanges, compared to just 3 bps for a $20 million trade in traditional CME gold futures. Spot markets for these assets offer less than $3 million in effective depth. In AMM DEXs like Uniswap, average slippage consistently ranges between 25–50 bps, with individual trades experiencing premiums as high as 68%. The problem extends to tokenized equities. A $1 million trade in tokenized Tesla (TSLAx) sees ~5% slippage, while NVIDIA (NVDAx) reaches an unworkable 80%. Traditional markets handle the same trades with ~15 bps impact. This liquidity scarcity isn't just about high transaction costs; it destabilizes the entire market structure. Thin order books are prone to manipulation and price anomalies. A 10% price swing on a centralized exchange (CEX) can trigger cascading liquidations across interconnected DeFi protocols, demonstrating how localized illiquidity amplifies systemic risk. The core issue is structural. Market makers face high friction: slow, costly minting/redemption processes (10-50 bps fees, T+1 to T+5 settlement), inability to hedge efficiently, and significant opportunity cost compared to deeper crypto markets. Current solutions (AMMs, order books) disperse rather than concentrate liquidity. For RWA to scale, a new market structure is needed—one that leverages off-chain liquidity for price discovery, eliminates redemption delays, and doesn't force market makers to hold illiquid inventory. Tokenization hasn't failed; the supporting market infrastructure has yet to be built.

Odaily星球日报01/16 04:25

When Big Money Gets Serious, RWA Liquidity Issues Come to the Fore

Odaily星球日报01/16 04:25

USD1 is flooding Solana – Is this real capital or yield recycling?

USD1, a stablecoin by World Liberty Financial, is rapidly expanding on Solana with a $3.31 billion market cap and significant trading volume. It is increasingly used for cross-chain capital flows, contributing to a surge in Solana’s DEX activity, which hit a record daily volume of over $260 million in early January. USD1 enhances transaction efficiency with its stable peg and supports liquidity on platforms like Raydium, particularly in meme coin trading. Its growth is fueled by high yields, institutional interest, and partnerships, positioning it as a competitor to USDT and USDC. However, its sustainability depends on regulatory clarity, continued yields, and market conditions, as volatility or political scrutiny could slow its momentum.

ambcrypto01/05 16:03

USD1 is flooding Solana – Is this real capital or yield recycling?

ambcrypto01/05 16:03

Top XRP Ledger Developments Investors Should Be Aware Of

The XRP Ledger (XRPL) has introduced version 3.0.0, featuring five key amendments under validator review with voting open until January 2026. These amendments aim to improve network reliability, performance, and future use cases. They include: fixAMMClawbackRounding to resolve AMM accounting errors; fixIncludeKeyletFields to add missing identifying fields; fixMPTDeliveredAmount to restore missing metadata for payments; fixPriceOracleOrder to ensure consistent asset pair ordering; and fixTokenEscrowV1 to correct MPT escrow accounting. Additionally, Ripple announced an upcoming XRPL Lending Protocol for institutional use, offering fixed-term, fixed-rate, and underwritten credit via Single Asset Vaults, expected by 2026.

bitcoinist12/26 19:57

Top XRP Ledger Developments Investors Should Be Aware Of

bitcoinist12/26 19:57

Honeypot Finance: The New Full-Stack Perp DEX – Can It Challenge Hyperliquid?

Honeypot Finance, a new full-stack perpetual DEX, is emerging as a potential challenger to established players like Hyperliquid. With a $35M valuation and backing from investors like Mask Network, it aims to reshape the Perp DEX landscape through a unique hybrid model combining order book efficiency with AMM resilience. Unlike traditional models, Honeypot integrates an order book (via Orderly Network) for low-slip execution during normal conditions and a proprietary AMM that activates during high volatility, ensuring continuous tradability. It also introduces a structured risk management system featuring layered vaults—allowing conservative capital to enter "Priority Vaults" for safer yields, while risk-tolerant users opt for "Secondary Vaults" for higher returns. The platform employs a multi-stage liquidation process to minimize unfair liquidations and avoid automatic deleveraging (ADL) unless absolutely necessary. The ecosystem is supported by a closed-loop tokenomics model. The $HPOT token (500M fixed supply) benefits from protocol fee buybacks and burns, tying its value to real revenue. HoneyGenesis NFTs act as yield-weight amplifiers, rewarding long-term stakers or offering permanent boost options when burned. Having already facilitated over $120M in total trading volume ($20M in perpetuals), Honeypot aims to create a synergistic system—from meme launchpad (Pot2Pump) to derivatives trading—that captures and sustains value through actual usage rather than inflationary incentives. Its success hinges on attracting sustained liquidity, proving its risk infrastructure under stress, and validating its full-stack integration approach.

marsbit12/23 09:03

Honeypot Finance: The New Full-Stack Perp DEX – Can It Challenge Hyperliquid?

marsbit12/23 09:03

Rolling the Snowball in a Cold Market: How a Meme Coin Achieved 20x in 2 Days with an Automated Market-Making Mechanism?

**Summary: Snowball Meme Coin’s 20x Surge in 2 Days via Automated Market-Making Mechanism Amid a sluggish crypto market, the Meme token Snowball, launched on pump.fun on December 18, surged 20 times in value within two days, reaching a $10 million market cap—a rare success in the current bearish environment. Its core innovation lies in an automated market-making mechanism designed to create a "snowball effect." Typically, pump.fun tokens allow creators to collect a fee (0.5%–1%) from each transaction, often leading to devs cashing out and abandoning projects. Snowball redirects 100% of this creator fee to an on-chain market-making bot instead. This bot periodically: 1. Uses accumulated funds to buy back tokens, creating buy pressure. 2. Adds purchased tokens and corresponding SOL to the liquidity pool, improving depth. 3. Burns 0.1% of tokens per operation, inducing deflation. The fee rate fluctuates (0.05%–0.95%) based on market cap: higher fees at lower caps to accelerate fund accumulation, lower fees at higher caps to reduce transaction friction. The idea is that each trade fuels buy pressure and liquidity, not dev profits, theoretically creating a self-sustaining cycle: trading generates fees → fees fund buybacks → buybacks boost price → higher price attracts more trading. On-chain data shows 7,270 holders, with top 10 addresses holding ~20% of supply—relatively distributed. Trading volume reached $11 million in 24 hours, with buys slightly outpacing sells. Bybit Alpha listed the token within 96 hours of launch, signaling short-term hype. However, the mechanism relies on sustained trading volume to work. In a cold market with low activity, if new buys decline, the snowball effect could reverse. While it mitigates dev rug-pull risk, it doesn’t eliminate other Meme coin dangers like dumping, illiquidity, or narrative decay. Similar projects like FIREBALL are emerging, indicating growing interest in "mechanism-driven Memes," but past examples (e.g., OlympusDAO, Safemoon) show such models can collapse without continuous external inflows. In short: Snowball is a Meme first, an experiment second. The mechanism adds structural safety but doesn’t guarantee profits.

比推12/22 14:10

Rolling the Snowball in a Cold Market: How a Meme Coin Achieved 20x in 2 Days with an Automated Market-Making Mechanism?

比推12/22 14:10

2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

The meme token Snowball" launched on pump.fun on December 18 and gained significant traction in the English-speaking crypto community, reaching a $10 million market cap within four days while largely flying under the radar in Chinese crypto circles. Its core innovation is an automated market-making mechanism: instead of the typical "creator fee" (usually 0.5%–1% per transaction) going to the developer’s wallet—a common setup that often leads to rug pulls—Snowball directs 100% of this fee to an on-chain bot. This bot periodically: 1. Buys back tokens to create buy pressure, 2. Adds the purchased tokens and corresponding SOL to the liquidity pool to improve depth, 3. Burns 0.1% of tokens to induce deflation. The fee rate also adjusts dynamically based on market cap (0.05%–0.95%) to balance accumulation and transaction friction. The idea is a "snowball effect": trading generates fees → fees fuel buybacks → buybacks may push price up → higher prices attract more trading. On-chain data shows 7,270 holders, with the top 10 holding ~20% of supply. Trading volume has been relatively balanced between buys and sells. However, the token remains highly speculative. While the structure reduces dev exit risk, it doesn’t eliminate other meme coin risks like low liquidity, narrative fatigue, or large holder dumps. Similar projects like FIREBALL are emerging, suggesting a trend toward "mechanism-driven memes." But as past examples like OlympusDAO and Safemoon show, complex tokenomics alone don’t guarantee sustainability—external demand and market conditions remain critical. In short: Snowball is a meme first and an experiment second. Its mechanism is interesting, but it doesn’t change the high-risk, speculative nature of meme coins.

marsbit12/22 10:42

2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

marsbit12/22 10:42

2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

Snowball, a new meme token launched on pump.fun on December 18, gained significant traction in the English-speaking crypto community by introducing an automated market-making mechanism designed to create a self-sustaining "snowball effect." Unlike typical meme coins where creators take a fee (usually 0.5%-1%) from each transaction, Snowball redirects 100% of this fee to an on-chain bot. This bot uses accumulated funds to buy back tokens, add liquidity to the pool, and burn a small portion of tokens periodically. The goal is to create continuous buy pressure and improve trading depth, theoretically allowing the token to grow organically through increased trading activity. Within four days, Snowball reached a $10 million market cap with over 7,000 holders and relatively decentralized ownership. However, the mechanism relies heavily on sustained trading volume to fuel the buyback bot. In a cold market with low on-chain activity, this "flywheel" could reverse if new buyers diminish. While the structure reduces developer exit risk, it doesn’t eliminate other meme coin dangers like large holder dumps or narrative fatigue. Similar projects like FIREBALL are emerging, indicating interest in "mechanism-driven memes," but past examples like OlympusDAO and Safemoon show that mechanisms alone don’t guarantee long-term value. Snowball remains primarily a meme experiment—interesting, but high-risk.

深潮12/22 10:24

2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

深潮12/22 10:24

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