In the world of crypto trading, where information is the main asset, the ability to effectively use neural networks becomes a competitive advantage. One trader with an audience of over 200,000 followers on X, known by the pseudonym Tyler Durden, shared a set of six prompts he uses for market analysis and decision-making. Let's break down each one from a professional perspective.
Risk/Reward: The Foundation of Any Entry
The first prompt forces the neural network to break down a trade through the lens of the ratio of potential profit to possible loss. The output gives the trader a clear entry point, a stop-loss level, and target take-profit levels. This approach instills discipline and prevents entering positions with unfavorable ratios, which is critical for long-term profitability.
Macro Overview: A Look Beyond the Chart
The second prompt shifts the focus from technical analysis of a specific asset to the global economic picture. The neural network assesses the impact of key macro factors: interest rates, inflation, and the strength of the dollar. This is especially relevant when market movements are dictated not by local signals, but by central bank decisions.
Liquidity Map: Anticipating Whale Movements
The third prompt is aimed at finding liquidity concentration zones—clusters of stop orders from retail traders and large institutional orders. The idea is that price often gravitates toward these levels. Understanding the liquidity map helps not only predict movement but also avoid triggering one's own stop-loss.
Correlation Matrix: Hidden Portfolio Risks
The fourth prompt analyzes how closely the assets in a trader's portfolio are correlated. If several positions move in sync, the portfolio only appears diversified but actually carries concentrated risk. The neural network uncovers such hidden connections, revealing real rather than apparent diversification.
On-Chain Signals: Blockchain Data as a Compass
The fifth prompt uses public 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 assets). Such signals often precede price movements and serve as a powerful complement to technical analysis.
Portfolio Stress Test: Preparedness for Black Swans
The sixth prompt tests the portfolio's resilience to adverse scenarios. The neural network models potential drawdowns—for example, a sharp market decline—and shows which positions would suffer the most. This allows for an advance assessment of the maximum possible loss and identification of the most vulnerable assets.
Cryptalist's Comment: Using AI for routine analysis is a logical step for a modern trader. However, it's important to remember: a neural network is a tool, not a crystal ball. It can make mistakes, especially in volatile markets. Always double-check the data and make decisions with full awareness of the risks. These prompts are an excellent foundation for building your own system, but not a guarantee of profit.