What trading will look like in 2030 (blog.everstrike.io)

By 2030, the landscape of trading will be revolutionized as over 50% of all orders will be generated by AI through advanced prompt engineering. Traders will focus on submitting prompts, which intelligent agents will interpret and execute as real-time trades. These agents will operate in a tight feedback loop, processing a variety of input data—including technical, fundamental, and news data—every few seconds, facilitated by low-latency models. This shift could minimize the burden of data management for individual traders, allowing them to emphasize crafting effective prompts rather than navigating complex data streams. Crucially, the integration of Web3 and decentralized finance (DeFi) will empower these intelligent agents to trade autonomously, backed by blockchain technology. Trades will increasingly occur between agents competing on prompt quality, while human traders will refine these prompts using diverse data types, ensuring context remains manageable to avoid model hallucinations. Platforms like Everstrike are pioneering this approach with their AI strategy model, significantly enhancing trading capabilities beyond traditional orders. As the AI-driven trading ecosystem matures, traders must hone their skills in prompt creation, data selection, and model tuning to thrive in this new paradigm.