Dubai, United Arab Emirates, March 9, 2026, Chainwire
Walbi, a blockchain-focused trading platform, has introduced a no-code AI trading agent for retail cryptocurrency users. Traders can now build, test, and launch their own AI-powered agents without writing a single line of code. In other words, autonomous trading is no longer limited to developers and quantitative teams.
Developing an AI agent strategy
Walbi provides a no-code environment where users can put their trading ideas to work as an AI agent. Instead of configuring a script, traders simply describe their strategy in plain language, including time frames, risk parameters, and entry or exit logic.
The agent operates within the Walbi ecosystem and leverages portfolio data, technical indicators, economic calendars, Fear & Greed Index, and liquidation insights. It makes decisions based on these inputs in conjunction with user instructions via chat.
This approach allows retail traders to formalize and deploy structured, autonomous strategies without having to write code or manage complex infrastructure.
“Retail traders are used to automation, but most existing tools require coding and strict rule configuration,” said Anthony Cerullo, CCO at Walbi. “Our goal with AI agents is to make strategy automation accessible through interaction, while maintaining transparency and user control.”
Beta performance snapshot
Prior to its public launch, Walbi conducted a 14-week closed beta (October 2025 to January 2026) to test how its AI agent performs in a live crypto futures market. The goal was not to “beat the market” but to evaluate stability, execution logic, and risk management under real trading conditions.
Over 1,000 participants created over 9,500 agents during the beta period, resulting in 187,000 autonomous trades. Most users tried multiple configurations before settling on a stable strategy logic.
Performance results will vary significantly depending on market conditions and risk parameters. While the majority of agents ended the period in positive territory, results were mixed and highly dependent on volatility regimes. The agent logic was stress tested over a 14-week live window using backtesting on historical data, including trending and high volatility phases.
A momentum-driven construct that incorporates Fear & Greed Index signals and liquidation data has shown the most consistent behavior during volatile periods. However, like any leveraged futures contract, drawdowns existed and capital risk remained significant.
Beyond rule-based bots
Many platforms offer algorithmic bots that follow predefined rules. Walbi’s AI agents behave differently. Rather than operating from a fixed script, we incorporate multiple data streams such as market indicators, news signals, and macroeconomic events into our decision-making processes.
This enables continuous 24/7 operations that can respond to changing market conditions in real time. The result is faster execution than manual trading and better situational awareness than traditional rules-based bots. This is a meaningful difference in volatile crypto markets.
strategic marketplace
Walbi is also launching an AI agent marketplace where experienced traders can share their strategies and other traders 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 look forward to working with strategy creators while hearing directly from retail users about what works and what doesn’t.
About Wolbi
Walbi is a platform for building AI trading agents. No code required, just write your strategy and it becomes an autonomous agent that monitors the market in real time and executes with built-in risk limits. You can build it independently or incorporate it into your marketplace strategy. 2.9 million registered users and growing.
contact
Wolbi Marketing
marketing@walbi.com
