FLUID is looking to redefine digital asset liquidity aggregation using AI –  Here’s how

Despite the bear market that has engulfed the crypto industry as a whole over the past year or so, the Web3 ecosystem has continued to evolve at a relatively rapid pace, with conservative estimates suggesting that this growing sector will reach a cumulative valuation of approx. $81.5 Billion by 2030, growing at a CAGR of 43.7 % over the forecasted period.

This rapid growth has been spurred mainly by various decentralized finance (DeFi) tools, allowing individuals worldwide to escape the limited operability and functionality offered by traditional entities such as banks, brokers, money lenders, etc. FLUID is one such offering, allowing users to make the best of what DeFi offers.

In its essence, FLUID can be described as a low latency crypto liquidity aggregator that uses artificial intelligence (AI) based prediction models to make trades smoother and more efficient. Moreover, the platform supports efficient pricing standards while maintaining a high degree of liquidity at all times using several novel methodologies.

Why choose FLUID? 

Unlike the TradFi market, the crypto ecosystem is prone to issues related to liquidity fragmentation and low liquidity. As a result, it is subject to high volatility, heavy price slippages, vulnerability to market manipulation, flash crashes, and more. In this regard,  FLUID provides clients with a deep liquidity infrastructure across numerous centralized and decentralized exchanges through AI-driven solutions.

To elaborate, the platform deploys a proprietary AI model using machine learning (ML) and deep learning (DL) to determine the value of digital asset order books in real-time with a high degree of confidence. Additionally, FLUID helps connect users to most of the major liquidity providers in the market today, thereby allowing them to access deep liquidity pools with the touch of a button.

On a more technical note, the platform’s transaction execution response time is extremely low, while its risk policies are designed to protect and cater to the needs of institutional and retail traders. Lastly, FLUID’s core team, led by CEO Ahmed W. Ismail, comes with over 40 years of combined and diversified experience across numerous tier-one financial institutions, including Bank of America Merrill Lynch, Bloomberg, Jefferies, and Goldman Sachs.

The FLUID difference

FLUID’s proprietary hybrid cryptocurrency prediction models harness the power of Deep Learning techniques, including Artificial Neural Networks (ANN) and Support Vector Machines (SVM). As a result, the platform can execute complicated tasks such as predicting asset values without explicit instructions (i.e. autonomously), all while harnessing linear and nonlinear statistical models. To put it simply, FLUID’s competitive edge emanates from the fact that it makes use of AI-based methodologies, which are capable of providing high throughput when compared to its contemporaries. 

Also, while latency continues to be one of the biggest bottlenecks affecting the crypto ecosystem — to the extent that it significantly impacts how quickly traders can place their buy and sell orders — FLUID’s design will feature instant order execution liquidity and cross-exchange technology. The platform will also deploy a unique buy pressure strategy in relation to its native digital token, $FLD. To elaborate, FLUID has developed a gamified approach that incentivizes users to utilize $FLD within its ecosystem — such as its retail and institutional trading interface (namely FLUID X and FLUID T), among other platforms — as well as allow users to stake the above stated tokens in return for handsome rewards.

Recently, the project announced that it had hired FinTech executive Kiran Pingali as its head of product to lead product strategy. Kiran was previously associated with industry giants such as Citigroup, Lehman Brothers, Thomson Reuters, and Bloomberg LP, with his most recent role being the managing director and global head of electronic trading products for Exotix Capital, an investment bank focused on emerging markets.

Despite the prevailing bear market, FLUID has continued to expand its core team quite aggressively by roping in many big names – Waleed Rizk, who joined the project as its head of engineering, and Dr. Lawrence Henesey from Sweden’s renowned Blekinge Institute of Technology, who will now serve as FLUID’s lead advisor for all AI-related activities.

Looking ahead

As the world continues to move towards a more decentralized mode of operation, it stands to reason that platforms like FLUID will continue to redefine the global economic landscape. The platform’s native technical architecture is tailored to provide seamless interoperability between member exchanges, resulting in unified global liquidity source and a stabilized market. 

Not only that, the project’s team has continued to interact with prominent members of the global crypto community, with Founder, President, and CEO Ahmed W Ismail recently attending Token2049 Singapore alongside the founders of various popular DEXs, including 1inch. It will be interesting to see how FLUID continues to evolve, especially as more and more people from institutions to retail seek alternative financial solutions for their day-to-day needs.

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