In the world of crypto trading, where every percentage point determines the fate of a trade, analytical tools come to the forefront rather than intuition. A popular trader under the alias Tyler Durden, whose audience on X exceeds 200,000 followers, shared a working set of six prompts for neural networks. I analyzed this guide and am ready to present you with the key scenarios for its application.

1. Risk/Reward: The Foundation for Any Trade

This prompt forces the neural network to break down a trade into its components: the entry point, stop-loss level, and target levels for taking profit. Instead of guessing, the trader receives a clear mathematical model. This approach instills discipline and filters out trades with an unfavorable risk-to-reward ratio.

2. Macro Overview: From Chart to Global Picture

Here, the focus shifts from the local chart to macroeconomics. The neural network assesses the impact of interest rates, inflation, and the strength of the dollar on a specific asset. This is especially valuable during periods when the market is driven not by technical signals, but by central bank decisions and the overall economic backdrop.

3. Liquidity Map: Hunting for Stops

One of the most powerful tools. The prompt searches for zones where retail traders' stop-loss orders and large institutional orders are clustered. The idea is that price often "gravitates" toward levels with high volume. Understanding these zones allows you not only to avoid false breakouts but also to predict where the market will go for liquidity.

4. Correlation Matrix: The Illusion of Diversification

This prompt uncovers hidden connections between assets in a portfolio. If several positions move in sync, diversification is merely an illusion. When the market reverses, they will all decline simultaneously. The neural network helps identify such hidden risk concentrations and assess real, rather than imaginary, diversification.

5. On-Chain Signals: Eyes on the Blockchain

Using public blockchain data, the prompt looks for patterns of accumulation (when large holders increase their positions) or distribution (when they offload assets). Such signals often precede price movements, serving as an early indicator of "smart money" sentiment.

6. Portfolio Stress Test: Preparedness for a Black Swan

The final touch is a stress test of the portfolio. The neural network simulates scenarios of sharp market downturns and shows which positions will suffer the most. This allows you to assess the maximum possible loss in advance and understand which assets make the portfolio most vulnerable.

Expert Opinion: This set of prompts is not a magic bullet, but rather a powerful analytical framework. The key value here lies in a systematic approach to risk and a transition from intuitive trading to data-driven decisions. However, remember: even the smartest AI can make mistakes. Always double-check the data and make decisions with full awareness of all risks.