AI Trading Agents Arrive for Retail Crypto
Walbi, a blockchain trading platform, launched no-code AI trading agents for retail users, democratizing algorithmic trading. These agents allow traders to build and deploy automated strategies without coding skills. Evaluate the performance and risk parameters of these agents for systematic trading.
Walbi's new AI agents let users create automated crypto trading strategies using plain language, removing the need for coding. The agents operate within Walbi's ecosystem, using portfolio data, technical indicators, and economic calendars to execute trades. This aims to democratize algorithmic trading, making it accessible to retail traders without complex setups. During a 14-week beta, over 1,000 participants created 9,500 agents, resulting in 187,000 autonomous trades. Walbi's CCO, Anthony Cerullo, emphasizes making strategy automation accessible while maintaining transparency and user control. Walbi has 2.9 million registered users and is growing. The global algorithmic trading market was valued at $17 billion in 2023 and is projected to reach $65.2 billion by 2032. AI is expected to handle 89% of the world's trading volume by 2025. In the U.S. stock market, algorithmic systems, many AI-enhanced, drive 70% of trading volume. Other platforms like AlgosOne and Cryptohopper also offer AI crypto trading bots. These bots analyze market data and execute trades, often operating 24/7 and removing emotional biases. Dollar-Cost Averaging (DCA) bots on 3Commas have shown average annualized returns of 18.7%.
