According to @milesdeutscher, traders can build a 3-step AI system in ChatGPT by creating a dedicated Trading Folder project, importing all trading data to Project Knowledge via Add Files, and opening targeted chats for specific areas such as psychology, trade setups, and journaling to prompt against their own data during decision-making, source: https://twitter.com/milesdeutscher/status/1963648289292849297. He states the setup takes under 15 minutes and is intended to help control emotions during trades while saving time and money, supporting faster execution and reviews for active traders, source: https://twitter.com/milesdeutscher/status/1963648289292849297. He adds that the framework is flexible and expandable to any trading area the user needs, creating a mini system tailored to personal trading workflows, source: https://twitter.com/milesdeutscher/status/1963648289292849297.

According to Peter Brandt, a renowned trader cited on Twitter, consistently analyzing and learning from your trading mistakes is crucial for improving future crypto trading performance. He emphasizes that while learning from others is valuable, personal losses provide the strongest lessons for traders seeking long-term profitability in volatile markets like BTC and ETH. This approach encourages traders to maintain detailed trading journals and review losing trades, which can help refine risk management strategies and avoid repeated errors (Source: @PeterLBrandt on Twitter).