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Price Convergence Plugin by Algebra: wtMSTR/USDC Pool Performance on Hydrex, basePrice Convergence Plugin by Algebra: wtMSTR/USDC Pool Performance on Hydrex, base
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Price Convergence Plugin by Algebra: wtMSTR/USDC Pool Performance on Hydrex, base

Algebra’s Price Convergence Plugin helped the wtMSTR/USDC pool on Hydrex process ~$44K in volume with ~$2.3K in liquidity, generate a 164% fee APR, and finish ~$114 above HODL over 13 days.

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Algebra Integral on Flare: How SparkDEX V4 Became Flare’s Most Capital-Efficient DEXAlgebra Integral on Flare: How SparkDEX V4 Became Flare’s Most Capital-Efficient DEX
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Algebra Integral on Flare: How SparkDEX V4 Became Flare’s Most Capital-Efficient DEX

SparkDEX V4, powered by Algebra Integral, has become Flare’s leading DEX deployment by TVL, 30-day volume, and capital turnover. This case study explores how modular AMM infrastructure helps put liquidity to work more efficiently.

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QuickSwap Case Study: How Algebra Delivers 4x Higher Fee Efficiency on PolygonQuickSwap Case Study: How Algebra Delivers 4x Higher Fee Efficiency on Polygon
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QuickSwap Case Study: How Algebra Delivers 4x Higher Fee Efficiency on Polygon

QuickSwap’s Algebra-powered concentrated liquidity deployment generates around four times more fees and seventeen times more volume per dollar of TVL than its legacy V2 AMM. This case study examines the results, the scale trade-off, and what Algebra Integral could change next.

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nest CL Case Study: Algebra Integral DEX Infrastructure on HyperEVMnest CL Case Study: Algebra Integral DEX Infrastructure on HyperEVM
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nest CL Case Study: Algebra Integral DEX Infrastructure on HyperEVM

nest CL reached $10M in TVL within 14 days and generated $1.784B in spot volume using Algebra Integral. This case study explores how concentrated liquidity, dynamic fees, and modular DEX infrastructure helped nest build an efficient spot trading layer on HyperEVM.

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Hydrex DEX Case Study: Out-Earning Curve by 13x with Algebra Integral on baseHydrex DEX Case Study: Out-Earning Curve by 13x with Algebra Integral on base
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Hydrex DEX Case Study: Out-Earning Curve by 13x with Algebra Integral on base

Hydrex Integral on Base shows how concentrated liquidity, dynamic fees, and Algebra’s white-label CLAMM engine can turn smaller TVL into stronger capital efficiency.

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Dynamic vs Static Fees on DEXs: Algebra SimulationDynamic vs Static Fees on DEXs: Algebra Simulation
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Dynamic vs Static Fees on DEXs: Algebra Simulation

Static fees work in calm markets, but they struggle when volatility rises. In simulations using real ETH–USDT data, Algebra’s Dynamic Fee adapted to market conditions and generated ~3–3.5% more cumulative fees than a static fee with the same average level — improving LP outcomes without overcharging organic traders.

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