March ninth, 2026 – Dubai, UAE
Walbi, a blockchain-focused buying and selling platform, has launched no-code AI buying and selling brokers for retail crypto customers.
Merchants can now construct, check, and launch their very own AI-driven brokers with out writing a single line of code. In brief, autonomous buying and selling is not restricted to builders or quant groups.
AI Agent Technique Improvement
Walbi supplies a no-code surroundings the place customers can flip buying and selling concepts into working AI brokers. As an alternative of configuring scripts, merchants merely describe their technique in plain language — together with timeframes, danger parameters, and entry or exit logic.
The agent operates inside Walbi’s ecosystem, drawing on portfolio knowledge, technical indicators, the financial calendar, the Worry & Greed Index, and liquidation insights. It executes choices based mostly on these inputs whereas staying aligned with the consumer’s directions by way of chat.
This strategy permits retail merchants to formalize and deploy structured, autonomous methods with out writing code or managing complicated infrastructure.
“Retail merchants are accustomed to automation, however most present instruments require coding or inflexible rule configuration,” mentioned Anthony Cerullo, CCO at Walbi. “Our objective with AI brokers is to make technique automation accessible by dialogue, whereas sustaining transparency and consumer management.”
Beta Efficiency Snapshot
Forward of the general public launch, Walbi carried out a 14-week closed beta (October 2025 – January 2026) to check how AI brokers behave in dwell crypto futures markets. The objective was to not “beat the market,” however to judge stability, execution logic, and danger controls beneath actual buying and selling situations.
Over 1,000 individuals created greater than 9,500 brokers in the course of the beta interval, leading to 187,000 autonomous trades. Most customers experimented with a number of configurations earlier than selecting a secure technique logic.
Efficiency outcomes diversified considerably relying on market situations and danger parameters. Whereas a majority of brokers closed the interval in optimistic territory, outcomes have been uneven and strongly depending on volatility regimes. Backtesting on historic knowledge, together with trending and high-volatility phases, was used to stress-test agent logic past the 14-week dwell window.
Momentum-driven configurations incorporating Worry & Greed Index indicators and liquidation knowledge confirmed essentially the most constant conduct throughout risky durations. Nevertheless, as with all leveraged futures buying and selling, drawdowns have been current and capital danger remained materials.
Past Rule-Based mostly Bots
Many platforms provide algorithmic bots that comply with predefined guidelines. Walbi’s AI brokers work in a different way. As an alternative of working on mounted scripts, they incorporate a number of knowledge streams, together with market indicators, information indicators, and macroeconomic occasions, into their decision-making course of.
This permits steady 24/7 operation with the power to react to altering market situations in actual time. The result’s quicker execution than guide buying and selling and extra contextual consciousness than conventional rule-based bots — a significant distinction in risky crypto markets.
Technique Market
Walbi can be launching an AI agent market the place skilled merchants can share methods, and others can spend money on them. Every agent comes with clear efficiency knowledge, together with return historical past and danger metrics, so customers could make knowledgeable decisions.
{The marketplace} is dwell, and we’re seeking to collaborate with technique creators whereas listening to straight from retail customers on what works and what doesn’t.
About Walbi
Walbi is a platform for constructing AI buying and selling brokers. No code, describe a consumer’s technique, and it turns into an autonomous agent that screens the market in actual time and executes with built-in danger limits. Construct one independently or plug into methods from {the marketplace}. 2.9M registered customers and rising.
Contact
Walbi Advertising
[email protected]
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