AI Quant Labs, an Atlanta-based startup specializing in automated crypto trading, launched the Aiquant Platform on Thursday, aiming to leverage the new crops of the AI platform that will allow Crypto Investors to access the bots that never sleep.
The trading platform allows users to create and deploy autonomous agents across multiple blockchains, marking yet another step in the broader trends of automated tools that move from professional desks to retail investors.
Aiquant is leaning towards that shift by committing to an “end-to-end” AI trading experience that integrates everything from designing and execution of your strategy.
“Aiquant.fun puts hedge fund grade tools into everyday traders’ hands,” founder Marlon Williams said. Decryption. “Unlike closed bots, our platform allows anyone to create and refine their own autonomous trading strategies without writing any code.”
Combining automation, gamification and community incentives, startups are betting that traders who may have been hesitant to use trading bots will give them a chance.
By providing traders with access to AI agents that operate 24/7, Aiquant aims to provide access to high-frequency trading beyond traditional financial institutions. For Williams, the pitch is simple. Money should never sleep and not trade.
Traders can develop autonomous agents that analyze real-time data and execute trades according to preset strategies. Unlike human traders, these AI agents operate around the clock. This says the features the company says will remove emotions from the transaction and allow for greater consistency.
As Williams explained, the Aiquant Bots are more than just another ChatGpt imitation.
“The aiquant.fun agent is not a chatbot or an image generator, but you can chat with Quant,” he said. “They are trading strategies that process market data and carry out logic-based transactions built around performance.”
Upon launch, Aiquant will support decentralized exchanges of bases, Solana and BNB chains, and will expand to other blockchains. According to the company, the AI Quant setup will have a few clicks to provide sophisticated users with plenty of sophisticated tools, whilst lowering the barrier to entry for beginners.
“Aiquant.fun does not run centralized bots. Each strategy works through smart contracts audited using parameters defined by the creator to limit exposure,” explained Williams. “The user defines asset, location size, and risk thresholds in advance. Quants cannot move outside these guardrails, so execution always remains within the limits set by the creator.”
Instead of relying on subscription plans, Aiquant uses a one-time “hatching fee” model. Users pay a one-time fee with Ethereum later in the platform’s AIQ token to activate the trading agent. Each Aiquant agent includes features such as adaptive stop loss and take profit settings, customizable rating criteria, and slip controls.
“As adoption increases, the demand for AIQ will expand directly to the use of the platform,” Williams said. “The tokenized quarter built on the binding curve creates new mechanisms for ownership and liquidity, furthering the role of AIQ at the centre of the ecosystem.”
Later this year, the platform will deploy additional features associated with the binding curve mechanism. This update introduces “core mode” and allows Quantz to be tokenized. The company says it is adding “gaming experiences.”
Analysts point out that AI-driven strategies are superior to humans under certain conditions, but can also raise questions about market stability and fairness. An increase in retail-centric AI bots could lead to competition for liquidity in decentralized exchanges.
Despite these concerns, this launch occurs amid the rapid growth of algorithmic and AI-assist trading. This is increasingly taking over crypto trading, from autonomous bots in forecast markets to retail tools that analyze data and execute transactions in real time.
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