Total Execution Cost (TEC) matters more than fees alone when evaluating AMM performance. TEC combines three components:
- Gas costs - dominate small trades (~$100), independent of trade size
- Swap fees - drive costs for medium trades ($100-$5,000), constant percentage of value
- Price impact - becomes critical for large trades (>$5,000), depends on liquidity depth
Algebra Labs analyzed execution costs across trade sizes in a $1M liquidity pool with 0.2% fees and $0.02 gas. Results show each component dominates at different scales:
For small trades, gas efficiency determines competitiveness. For medium trades, fee levels matter most when liquidity is similar. For large trades, deeper liquidity wins by minimizing price impact.
DEX aggregators route order flow based on total execution cost optimization, not fees alone. This means AMM design must account for all three components to attract the right trade sizes.
Algebra powers 90+ DEXes across EVM chains with concentrated liquidity and modular architecture.
Algebra Launches Revamped Website with Clearer DEX Infrastructure Positioning
Algebra has unveiled a redesigned website featuring improved positioning and messaging. The platform positions itself as **leading DEX infrastructure in DeFi** with a modular stack compatible with any EVM chain. **Key highlights:** - Clearer value proposition for DEX builders - New website sections for better navigation - Emphasis on rapid deployment: "Launch in weeks, not months" - Modular architecture approach The refresh follows Algebra's strong performance in recent AMM optimization challenges, where the team placed **top-10 out of 650+ participants** in the Optimization Arena fee challenge. Insights from this competition are already being integrated into Algebra-powered DEXs to improve fee models and LP returns. Algebra currently powers **100+ DEXs across EVM chains**, including Blackhole, QuickSwap, Supernova, Camelot, and THENA. The protocol has processed over **$200B in total volume**. Visit: [algebra.finance](http://algebra.finance)
🤝 Tempo Mainnet Launches with Algebra Integration

**Tempo mainnet is now live**, offering developers the opportunity to be among the first to deploy using Algebra's technology. **Key Features Available:** - Algebra Integral's modular DEX architecture - Enhanced performance capabilities for decentralized exchanges - Access to customizable liquidity solutions Developers interested in deploying can access the integration form at algebra.finance/form/. This launch follows Algebra Integral's recent deployment powering BEAM DEX on Zeta blockchain.
🤖 Algebra Launches AI-Ready DEX Infrastructure with Adaptive Trading Plugins

Algebra's plugin architecture is positioning itself for the emerging AI-driven trading landscape with tools designed for algorithmic actors. **Key Features for Machine-Driven Trading:** - **Managed Swap Fee**: Enables automated execution without manual intervention - **Dynamic Fee Plugins**: Offers adaptive fee tiers through Dynamic, Sliding, and Whitelist options - **LVR Plugin**: Provides MEV protection combined with intent-based execution These modular tools create adaptive environments specifically built for algorithmic trading systems. The infrastructure allows DEX builders to integrate AI-native features without rebuilding their entire platform. The plugin system works by adding independent smart contracts on top of Algebra's Integral engine. Each pool can run one plugin at a time, with the ability to swap plugins seamlessly without moving liquidity or redeploying contracts. This approach addresses a growing need as AI agents become more active in DeFi markets, requiring infrastructure that can respond dynamically to machine-driven trading patterns. [Build with Algebra](http://algebra.finance/form/)
Algebra Dynamic Fees Beat Static by 3.5% in ETH/USDT Tests
**Algebra Labs** tested its **Dynamic Fee** mechanism against static fees using real ETH/USDT data from 2025. The results show adaptive fees outperformed matched static fees by generating **~3.5% more cumulative fees** for liquidity providers. **Key findings:** - Dynamic Fee achieved **18.0% fee APR** vs. 16.9% for static fees at the same average level - The mechanism adjusts fees based on market volatility—keeping them low during calm periods to attract organic traders, and raising them when arbitrage risk increases - Performance remained consistent across parameter ranges, indicating robustness **How it works:** The system distinguishes between two trader types: - **Noise traders** (organic users) generate real revenue and prefer competitive fees - **Arbitrageurs** extract value from LPs through price misalignments Algebra's **Sliding Fee** plugin complements this by targeting repeated same-direction trades (typical arbitrage patterns) while preserving low fees for natural users—improving LP outcomes by up to 15% in certain conditions. **The trade-off:** Static fees remain simpler and work well in low-volatility environments. But when markets move, adaptive mechanisms capture more value without overcharging users. Algebra powers 90+ DEXes including Camelot, THENA, and QuickSwap. [Learn more](https://algebra.finance/)
Algebra Launches White-Label DEX Solution
Algebra has launched its white-label CLAMM (Concentrated Liquidity AMM) solution for builders looking to deploy next-generation DEXes. The offering includes: - **Concentrated liquidity** with dynamic fees - **V4 plugins** for modular functionality - **ve(3,3) tokenomics** out of the box - **Rapid deployment** in weeks instead of months The solution eliminates the need to build from scratch, allowing teams to integrate Algebra's production-ready infrastructure and launch quickly. This follows recent ecosystem growth, with Algebra powering 90+ DEXes across EVM chains including Henesys DEX on MapleStory and Satsuma on Citrea. Algebra's modular architecture enables customization through plugins while maintaining a battle-tested core. Teams can add features like KYC, limit orders, and custom fee models without disrupting existing liquidity. Interested builders can apply at [algebra.finance/form](http://algebra.finance/form/)