⚡️ Friends, currently decentralized exchanges may seem to offer a variety of choices, but in reality, they are largely similar. Whether it’s MEME coins, mainstream assets, or obscure tokens, they are all placed into the same liquidity model.
The CPMM model is simple but inefficient; for stablecoins, it may cause slippage; for assets with low liquidity, it exacerbates volatility. The market is constrained by a one-size-fits-all mold, ignoring the unique characteristics of each asset.
Ferra Protocol’s core insight lies here: different assets should inherently exist within different liquidity environments.
It does not create a single ultimate model to solve all problems but instead builds a platform capable of accommodating multiple specialized engines:
DLMM (Dynamic Liquidity Market Maker): An intelligent sensing system designed for highly volatile assets with diverse trading patterns. Liquidity can dynamically adjust position and depth based on market sentiment fluctuations and sudden trading volume changes, flexibly responding to abrupt market conditions.
CLMM (Concentrated Liquidity Market Maker): A precise instrument for mature trading pairs. It concentrates liquidity within the most common trading price ranges, greatly improving capital efficiency for mainstream assets and stablecoins, allowing traders to obtain better prices.
DAMM (Dynamic Automated Market Maker): More like an adaptive strategist, especially suitable for new or long-tail assets that have not yet formed stable patterns. It can synthesize market conditions, dynamically adjust parameters, and manage risks for market makers while providing liquidity.
This is not just adding a few options but a fundamental shift in approach. Traditional methods involve traders seeking the most suitable market for a specific trade. Ferra’s approach is to let assets themselves match, or even define, the most suitable liquidity model.
For liquidity providers, this means they can choose the most compatible engine based on their assessment of different assets’ risks and volatility, enabling more efficient fee earning. For traders, it means executing trades in an environment that better understands the asset’s characteristics, resulting in fairer and more efficient prices.
@ferra_protocol #Ferra #SuiNetwork #PrivateTG #KaitoYap @KaitoAI #Yap
The CPMM model is simple but inefficient; for stablecoins, it may cause slippage; for assets with low liquidity, it exacerbates volatility. The market is constrained by a one-size-fits-all mold, ignoring the unique characteristics of each asset.
Ferra Protocol’s core insight lies here: different assets should inherently exist within different liquidity environments.
It does not create a single ultimate model to solve all problems but instead builds a platform capable of accommodating multiple specialized engines:
DLMM (Dynamic Liquidity Market Maker): An intelligent sensing system designed for highly volatile assets with diverse trading patterns. Liquidity can dynamically adjust position and depth based on market sentiment fluctuations and sudden trading volume changes, flexibly responding to abrupt market conditions.
CLMM (Concentrated Liquidity Market Maker): A precise instrument for mature trading pairs. It concentrates liquidity within the most common trading price ranges, greatly improving capital efficiency for mainstream assets and stablecoins, allowing traders to obtain better prices.
DAMM (Dynamic Automated Market Maker): More like an adaptive strategist, especially suitable for new or long-tail assets that have not yet formed stable patterns. It can synthesize market conditions, dynamically adjust parameters, and manage risks for market makers while providing liquidity.
This is not just adding a few options but a fundamental shift in approach. Traditional methods involve traders seeking the most suitable market for a specific trade. Ferra’s approach is to let assets themselves match, or even define, the most suitable liquidity model.
For liquidity providers, this means they can choose the most compatible engine based on their assessment of different assets’ risks and volatility, enabling more efficient fee earning. For traders, it means executing trades in an environment that better understands the asset’s characteristics, resulting in fairer and more efficient prices.
@ferra_protocol #Ferra #SuiNetwork #PrivateTG #KaitoYap @KaitoAI #Yap
