# KaitoYap

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During periods of high volatility, how should liquidity be managed?
Ferra provided an answer: different market-making models address different problems and have their limitations. This can be understood from three aspects: price formation, slippage characteristics, and LP risk structure:
- DAMM (Traditional AMM, x·y = k)
This is the most classic market-making model, where the price changes continuously, and each transaction moves the price curve. Advantages — simple structure, no active management needed, suitable for passive LPs. Disadvantages are obvious: funds are evenly distributed across
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CoinWorldKingvip
In times of high volatility, how should liquidity be managed?
Ferra provides an answer: different market-making models each solve specific problems and have their own boundaries. They can be understood from three dimensions: price formation methods, slippage characteristics, and LP risk structures:
- DAMM (Traditional AMM, x·y = k)
This is the most classic market-making model, where prices change continuously, and every trade moves the price curve. Its advantages are a simple structure, no need for active management, and suitability for passive LPs. The drawbacks are also obvious: funds are spread evenly across the entire price range, large trades incur high slippage, capital efficiency is the lowest, and it is not friendly to LPs in volatile assets.
- CLMM (Concentrated Liquidity AMM)
CLMM improves capital efficiency by allowing LPs to choose specific price ranges. Liquidity is only active within designated intervals, and fee income is more concentrated. However, prices still change continuously within the range, so slippage remains; once the price moves out of the range, LPs become single-sided assets, requiring frequent management and rebalancing, which demands higher operational skills.
- DLMM (Dynamic Liquidity Market Maker)
DLMM is Ferra's core innovation. It does not use a continuous curve but divides the price into discrete bins. Within a single bin, the price is fixed; as long as liquidity is sufficient, trades can be executed with zero slippage. Only when a trade consumes an entire bin does the price jump to the next level. Coupled with dynamic fee rates that automatically increase during high volatility periods, this mechanism hedges arbitrage risks. For LPs, DLMM offers more controllable execution outcomes, clearer risk exposure, and supports both unilateral market-making and various liquidity distributions, making it especially suitable for highly volatile assets and new tokens.
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Summary of core differences
DAMM ensures trades can always be executed but with the lowest efficiency; CLMM concentrates funds within effective ranges but has high management costs; DLMM achieves more predictable price execution and more reasonable LP returns in volatile markets.
//
From a design perspective, DLMM is not simply an upgrade of DAMM or CLMM but redefines price formation in high-frequency trading and high-volatility environments. This is also why Ferra considers DLMM as the underlying liquidity model rather than just an optional feature.
#KaitoYap @KaitoAI #Yap @ferra_protocol
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At the intersection of AI and Blockchain, @0G_labs is quietly laying the foundational infrastructure for the future. Since its establishment in 2024, its goal has been clear: to provide a complete ecosystem for Decentralization AI, from chain to computation, from storage to governance, creating a full-stack solution.
The architecture of 0G can be divided into seven core modules: Chain, Storage Network, Service Marketplace, Compute Network, Data Availability, DePIN Hardware, and Alignment Nodes.
Blockchain (Chain) provides unlimited scalability, laying the foundation for future growth in scale;
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Brothers, the rankings have really been heating up these past few days, with the Snapshot approaching, and if you're not careful, you could be overtaken! But to be honest, many people are only focusing on the performance surge of 0G Labs, overlooking an even more explosive piece of news: @0G_labs paired with @symbioticfi feels like it has added a safety plug to 0G, integrating with 0G since the first day of Mainnet launch, filling a crucial gap for the AI public chain.
It is important to know that Symbiotic is a re-staking protocol in the Ethereum ecosystem (similar to EigenLayer), which w
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In the wave of Decentralization AI and NFT integration, @0G_labs has launched a new ecosystem—AIverse, a marketplace specifically designed for minting, trading, and collecting intelligent NFTs.
If you are a holder of @OneGravityNFT, there are exclusive early bird benefits here— a total of 1888 holders can be the first to experience AIverse and mint the first batch of iNFT. The initial minting will take place on the 0G Galileo testnet, and after the mainnet goes live, iNFT can be seamlessly migrated to the mainnet, truly achieving asset flow across chains.
iNFT is an NFT type based on the ERC-7
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September and October are golden months; the WLFI leading the charge at the beginning of September was truly a pleasant surprise! There are still many project TGEs coming up later this month, but what I’m really looking forward to is the upcoming @0G_labs. I hope everyone can achieve good results.
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Allora has built a decentralized intelligent network that connects 280,000 models (Workers) to enable collaborative learning, mutual verification, and joint evolution. Here, AI is no longer a closed island, but a group of decentralized brains that can self-improve. In medical diagnostics, multi-model reasoning can achieve an accuracy rate of 95%–99%; in DeFi scenarios, they make real-time decisions and predict fluctuations, helping traders to plan more precisely.
More importantly, @AlloraNetwork addresses two major pain points:
🧩 "Black Box" Dilemma: Every inference is recorded on-chain, and
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September and October are golden months; the WLFI leading the charge at the beginning of September was truly a pleasant surprise! There are still many project TGEs coming up later this month, but what I’m really looking forward to is the upcoming @0G_labs. I hope everyone can achieve good results.
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Suckers' life, no matter how hard it gets, we have to keep going! Let's lift our spirits and continue to enjoy the subsidies in the secondary market. They say that after a black swan event comes a bull run, it feels like this sentence is like giving a long wick candle to a dying person. When will this life come to an end, it's too difficult.
In today's rapidly developing decentralized finance and artificial intelligence, @AlloraNetwork is redefining smart finance in a whole new way. By combining traditional machine learning with large language models (LLM) and avoiding biases f
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Yesterday I received the third paycheck from Zui Lu, which comes from Galaxy, so this month's minimum guarantee is finally here. Today, there is also the yap rewards from @defidotapp. I checked last night and there are over ten thousand, so it wasn't in vain! Next, I will focus on @AlloraNetwork.
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#Irys has welcomed a major update, recently the official announced the optimization of its Hybrid Consensus mechanism (PoW+PoS)
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As the first programmable data chain, continuously building collaborative operations for AI, currently
also reached strategic cooperation with severa
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