No-Code AI Trading Agents Gain Traction

The global AI trading platform market was valued at $11.26 billion in 2024 and is projected to reach nearly $70 billion by 2034, growing at a compound annual growth rate of over 20%. This surge is fueled by massive venture capital investment, with AI startups capturing over 52% of all VC funding for the first time in 2025, a significant jump from 27.5% in 2023. Regulatory bodies are increasing their oversight in response to this rapid adoption. In December 2024, the U.S. Commodity Futures Trading Commission (CFTC) issued a formal advisory, clarifying that AI trading systems are subject to the same supervision requirements as any other trading system. The SEC is similarly focused on the potential for market manipulation and requires firms to disclose if and how AI influences investment advice. The core technology of these no-code platforms leverages machine learning to analyze vast datasets, including historical prices, trading volumes, and even social media sentiment through Natural Language Processing (NLP). Platforms like Capitalise.ai allow traders to build complex strategies using plain English commands, while others like TrendSpider focus on automated technical analysis, democratizing tools once reserved for quantitative firms. Performance metrics suggest AI agents can offer an edge in speed and discipline. Data analysis comparing manual and automated trading indicates AI bots can achieve an average trade win rate of 60% to 80%, compared to 40% to 55% for human traders. Some AI-driven hedge funds have reported outperforming traditional counterparts by 3% to 5% in annual returns. Venture capital is heavily backing the next generation of these tools. In 2025, 55 U.S.-based AI companies raised funding rounds of $100 million or more. Notable deals included Anysphere, maker of an AI coding platform, raising $2.3 billion, and Unconventional AI securing a $475 million seed round to develop more energy-efficient "neuromorphic" computing systems inspired by biology. Beyond retail-focused apps, institutional-grade platforms are also expanding. While North America accounts for over 32% of global high-frequency trading flow, the use of algorithmic trading is growing worldwide, with retail platforms now commanding over $11 billion in global spending. This reflects a broader market trend where both large enterprises and individual traders are leveraging AI for everything from pattern recognition to risk management.