According to Lex Sokolin (@LexSokolin), the effectiveness of AI in generating results can vary dramatically—by as much as 10x—depending solely on how the prompt is structured (source: Twitter, May 16, 2025). For crypto traders leveraging AI tools for market analysis, this highlights the critical importance of prompt engineering in optimizing trading strategies and gaining actionable insights. Traders who refine their AI queries can expect significantly improved prediction accuracy and faster response times, which are crucial for capitalizing on volatile market movements.

According to Miles Deutscher on Twitter, mastering AI prompt engineering is emerging as a crucial skill for crypto traders and investors. Deutscher highlights that dedicating at least one hour daily to experimenting with different AI prompts and models over the past four months has already significantly improved his trading workflow and decision-making speed (source: @milesdeutscher, Twitter, May 14, 2025). For traders, developing prompt engineering expertise can lead to faster analysis of on-chain data, improved signal detection, and more reliable automation in trading strategies, giving early adopters a competitive edge in the cryptocurrency market.

According to Miles Deutscher (@milesdeutscher), mastering AI prompt engineering is crucial for gaining a competitive edge in crypto trading. Deutscher reports dedicating extensive hours to stress-testing prompts and creative AI testing, which can directly enhance trading strategies by improving data analysis and signal generation (Source: Twitter, April 25, 2025). Traders looking to refine their AI-driven trading systems can benefit from following his ongoing updates for new techniques and best practices.

According to Miles Deutscher, traders can maximize their risk-reward (R/R) ratio by mastering prompt engineering for AI models, which is essential for optimizing crypto trading strategies. Deutscher advises running identical prompts through multiple AI models to identify which delivers the most actionable insights for specific trading scenarios, as well as experimenting with a wide range of use cases relevant to trading. Additionally, he recommends reverse-engineering effective prompts by querying AI on how it arrives at its conclusions, providing traders with a systematic approach to refining their trading signals and automation processes (source: Miles Deutscher on Twitter, April 25, 2025).