Crypto news

14.07.2026
00:48

6 prompts for neural networks from a millionaire trader: a complete breakdown of strategies

A well-known crypto trader under the alias Tyler Durden, whose X audience exceeds 200,000 followers, has published a set of six prompts for working with neural networks. According to him, these tools have become an integral part of his trading arsenal. Let's examine each of them from a practical value perspective.

1. Risk/Reward

This prompt forces the AI to break down a trade into key components: entry point, stop-loss, and target profit levels. The main goal is to assess in advance whether the potential return justifies the risk taken. This approach instills discipline and filters out obviously losing scenarios.

2. Macro Overview

Instead of focusing on a narrow chart, this prompt shifts attention to the global economic picture: interest rates, inflation, and the strength of the dollar. This is especially valuable during periods when the market moves not based on technical signals but under the influence of central bank decisions.

3. Liquidity Map

This prompt searches for zones where retail traders' stop orders and large institutional orders accumulate. The idea is that price often gravitates toward these levels to "collect" liquidity. Understanding these zones helps avoid false breakouts and anticipate movements.

4. Correlation Matrix

Analyzes how closely related assets in a portfolio are. If several positions move in sync, diversification becomes illusory, and risk becomes concentrated. The prompt reveals hidden connections and shows the portfolio's real vulnerability.

5. On-Chain Signals

Uses blockchain data: transaction history and wallet behavior. The neural network looks for accumulation patterns (when large holders increase positions) or distribution patterns (when they offload). Such signals often precede price movements.

6. Portfolio Stress Test

Models adverse scenarios—for example, a sharp market decline—and shows which assets would suffer the most. This helps assess the maximum potential loss in advance and identify the weakest links in the strategy.

My expert opinion: These prompts are not a magic bullet but rather a structured checklist for analysis. Neural networks can make mistakes, and relying on them without your own verification is a dangerous practice. However, using such a framework disciplines the trader and forces a systematic, rather than chaotic, view of the market. I recommend adapting these prompts to your own style, but always double-check the AI's conclusions with your own analysis.