Walbi Launches No-Code AI for Retail Crypto Trading

Democratizing Automated Crypto Trading

Walbi, a blockchain-focused trading platform, has officially launched its no-code AI trading agents designed for retail cryptocurrency traders. This development allows users to build, test, and deploy autonomous trading strategies using plain language, removing the need for programming skills and making sophisticated automation accessible to a wider audience.

Overview of the Situation

The new platform provides a no-code environment where traders describe their strategy, including timeframes, risk parameters, and logic for entry and exit points. The AI agent then operates within Walbi's ecosystem, utilizing portfolio data, technical indicators, the Fear & Greed Index, and liquidation insights to execute trades. During a 14-week closed beta from October 2025 to January 2026, over 1,000 participants created more than 9,500 agents, which conducted 187,000 autonomous trades in live crypto futures markets.

Economic and Market Impact

Walbi's AI agents represent a shift from traditional rule-based bots by incorporating multiple data streams, including market news and macroeconomic events, for more context-aware decision-making. Beta test results showed varied performance, with a majority of agents ending the period with positive returns. Momentum-driven strategies that used Fear & Greed Index signals proved most consistent during volatile periods. The platform also introduced a marketplace where successful traders can share their AI agents, allowing others to invest in proven strategies transparently.

Summary

The launch of Walbi's no-code AI agents and strategy marketplace lowers the barrier to entry for automated crypto trading. It moves beyond rigid, pre-defined bots to offer more dynamic, data-driven tools for retail investors. The key factor to watch will be the long-term performance and adoption of these AI agents in fluctuating market conditions.

FAQ

Q: What are Walbi's no-code AI trading agents?
A: They are autonomous trading tools that users can create by describing a strategy in plain language, eliminating the need for any programming or coding.

Q: How do these AI agents differ from traditional bots?
A: Unlike rule-based bots that follow fixed scripts, Walbi's agents integrate multiple live data streams, such as market news and economic events, to make more adaptive, real-time decisions.

Q: Is trading with these AI agents risk-free?
A: No. All trading, particularly in leveraged futures markets, involves substantial capital risk. Performance is highly dependent on market conditions and the user's defined risk parameters.

Source: Investing.com