In the world of crypto trading, where information is everything, neural networks are becoming an indispensable tool. One of the leading analysts, known under the pseudonym Tyler Durden, whose audience exceeds 200,000 subscribers, shared his working methodology. He revealed six key prompts that he systematically uses for market analysis and making trading decisions. Let's break down each one.
Risk/Reward: The Foundation of Any Trade
The first prompt is a rigid framework for evaluating any potential trade. It forces the neural network to break down the setup into its components: entry point, stop-loss level, and profit target. This approach disciplines the trader, forcing them to understand in advance whether the expected return justifies the risk taken. This is the foundation; without it, entering a position is gambling, not trading.
Macro Overview: A Look Beyond the Chart
The second prompt shifts the focus from the micro-chart of a specific asset to the macroeconomic picture. The neural network analyzes the impact of key factors: interest rates, inflation, and the strength of the US dollar. This tool is indispensable during periods when the market moves not under the influence of technical indicators, but under the pressure of central bank decisions and global economic trends.
Liquidity Map: Where the Whales Hide
The third prompt is aimed at finding liquidity concentration zones — clusters of stop orders from retail traders and large institutional orders. Price often gravitates towards these levels. Identifying such zones allows not only to anticipate market movements but also to avoid having your own stops caught in mass liquidations.
Correlation Matrix: The Illusion of Diversification
The fourth prompt analyzes how closely the assets in your portfolio are linked. If several positions move in sync, it's not diversification, but concentrated risk. The neural network identifies hidden dependencies, showing the real, not imaginary, resilience of the portfolio to market reversals.
On-Chain Signals: Eyes on the Blockchain
The fifth prompt uses blockchain data — the public history of transactions and wallet behavior. The neural network looks for patterns of accumulation (when large holders increase their positions) or distribution (when they unload assets). These signals often precede price movements and serve as a powerful supplement to technical analysis.
Portfolio Stress Test: Preparedness for a Black Swan
The sixth prompt tests the portfolio's strength under adverse scenarios. The neural network models potential market drawdowns and determines which positions will suffer the most. This allows you to assess maximum losses in advance and identify the most vulnerable points in your strategy.
Analyst's Comment: This collection of prompts is not a magic pill, but a professional toolkit for structured analysis. They help move away from emotional decisions and shift trading into the realm of cold calculation. However, remember: the neural network can make mistakes. The key to success is not blind trust in AI, but verification of its conclusions and your own understanding of the market.