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FLUID is a low latency liquidity aggregator that leverages AI models primarily based on quant to address unproductive fragmented liquidity in virtual asset markets. It has obtained $10 million in funding headed by GSR and Ghaf Capital. A liquidity aggregator is a piece of software that enables participants to get streamed pricing from multiple liquidity providers/pools simultaneously. The money will help the group realize their goal of linked liquidity, which will give customers exposure to the finest true pricing and liquidity for smaller venues like exchanges by reducing margins and latency.
FLUID aims to fundamentally alter how liquidity is managed in the blockchain and cryptocurrency sectors. Employing machine learning and quantitative-based approaches for use in high-frequency trading, its own smart order book enables large bandwidth at very low fees and minimal latency.
Ex-bankers and fintech professionals from Bank of America, Goldman Sachs, BlackRock, and Jefferies lead the team. FLUID is improving liquidity throughout spot trading, derivatives, futures, synthetics, tokenized assets, and security token offerings to address inadequacies induced by fragmented liquidity — multi-trillion-dollar market issues in the virtual assets arena. This problem is solved by becoming the future of liquidity aggregation, which will benefit DeFi, CeFi, NFTs, and other tokenized assets across retail and institutional verticals.
Ahmed Ismail, President & CEO, of FLUID, said:
We are delighted to have the backing of top institutional investors, partners, and the involvement of a world-class dedicated team to build our AI quant-based crypto liquidity aggregation system. The current technology used to aggregate virtual liquidity is many years behind that used by mainstream hedge funds and trading desks at traditional financial institutions, leading to high fees and high latency in the crypto industry. FLUID will transform the virtual assets industry by solving a number of combined challenges that arise from fragmented liquidity which remain unresolved today. In effect, we provide retail and institutional investors access to a secure, robust framework for participation in the virtual assets market.
The platform's foundation is FLUID's AI quant-based engine, which Jason Jiang is devising, FLUID's CTO, who has decades of expertise garnered while working at Goldman Sachs and BlackRock, with an emphasis on making quant-based high-frequency frameworks for trading on liquidity aggregators in financial services and, more recently, digital markets.
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