This is a press release / sponsored content. BlockchainReporter did not write, edit, or verify this content.
Dubai, UAE, March 9th, 2026, Chainwire
Walbi, a blockchain-focused trading platform, has introduced no-code AI trading agents for retail crypto users. Traders can now build, test, and launch their own AI-driven agents without writing a single line of code. In short, autonomous trading is no longer limited to developers or quant teams.
AI Agent Strategy Development
Walbi provides a no-code environment where users can turn trading ideas into working AI agents. Instead of configuring scripts, traders simply describe their strategy in plain language — including timeframes, risk parameters, and entry or exit logic.
The agent operates within Walbi’s ecosystem, drawing on portfolio data, technical indicators, the economic calendar, the Fear & Greed Index, and liquidation insights. It executes decisions based on these inputs while staying aligned with the user’s instructions via chat.
This approach allows retail traders to formalize and deploy structured, autonomous strategies without writing code or managing complex infrastructure.
“Retail traders are familiar with automation, but most existing tools require coding or rigid rule configuration,” said Anthony Cerullo, CCO at Walbi. “Our goal with AI agents is to make strategy automation accessible through dialogue, while maintaining transparency and user control.”
Beta Performance Snapshot
Ahead of the public release, Walbi conducted a 14-week closed beta (October 2025 – January 2026) to test how AI agents behave in live crypto futures markets. The goal was not to “beat the market,” but to evaluate stability, execution logic, and risk controls under real trading conditions.
Over 1,000 participants created more than 9,500 agents during the beta period, resulting in 187,000 autonomous trades. Most users experimented with multiple configurations before settling on a stable strategy logic.
Performance outcomes varied significantly depending on market conditions and risk parameters. While a majority of agents closed the period in positive territory, results were uneven and strongly dependent on volatility regimes. Backtesting on historical data, including trending and high-volatility phases, was used to stress-test agent logic beyond the 14-week live window.
Momentum-driven configurations incorporating Fear & Greed Index signals and liquidation data showed the most consistent behavior during volatile periods. However, as with any leveraged futures trading, drawdowns were present and capital risk remained material.
Beyond Rule-Based Bots
Many platforms offer algorithmic bots that follow predefined rules. Walbi’s AI agents work differently. Instead of operating on fixed scripts, they incorporate multiple data streams, including market indicators, news signals, and macroeconomic events, into their decision-making process.
This enables continuous 24/7 operation with the ability to react to changing market conditions in real time. The result is faster execution than manual trading and more contextual awareness than traditional rule-based bots — a meaningful distinction in volatile crypto markets.
Strategy Marketplace
Walbi is also launching an AI agent marketplace where experienced traders can share strategies, and others can invest in them. Each agent comes with transparent performance data, including return history and risk metrics, so users can make informed choices.
The marketplace is live, and we’re looking to collaborate with strategy creators while hearing directly from retail users on what works and what doesn’t.
About Walbi
Walbi is a platform for building AI trading agents. No code, describe a user’s strategy, and it becomes an autonomous agent that monitors the market in real time and executes with built-in risk limits. Build one independently or plug into strategies from the marketplace. 2.9M registered users and growing.
Contact
Walbi Marketing
marketing@walbi.com
Related reading: 1win Arranges Private Charter Flights for VIP Clients Leaving the UAE Amid Aviation Disruptions.
This article is not intended as financial advice. Educational purposes only.
