In the arsenal of a modern crypto trader, artificial intelligence is becoming an indispensable tool. One popular blogger with the handle Tyler Durden, who has over 200,000 followers on X, shared his selection of prompts for neural networks. These commands help him in daily analysis and making trading decisions. Let's break down each of them.
Risk/Reward
This prompt forces the neural network to evaluate a specific trade through the lens of the potential loss-to-profit ratio. As output, the trader receives a suggested entry point, a stop-loss level, and a target profit-taking level. This approach allows you to understand in advance whether the expected return justifies the risk taken and avoid entering trades with an unfavorable ratio.
Macro Overview
The prompt shifts the focus from the chart of a specific asset to the overall economic picture. The neural network assesses how key macro factors—such as interest rates, inflation, and the strength of the dollar—affect the price. This is especially useful when market movement is driven not by technical signals, but by central bank decisions and the general economic sentiment.
Liquidity Map
The task of this prompt is to find zones where liquidity is concentrated: clusters of stop orders from retail traders and large orders from institutional players. The idea is that price often gravitates toward levels with high volumes. Understanding these zones helps predict where the market might move in search of liquidity and avoid having your own stop-loss triggered.
Correlation Matrix
The prompt analyzes how closely the assets in a portfolio are related to each other. If several positions move in sync, the portfolio only appears diversified but actually carries concentrated risk: in a market reversal, they all decline simultaneously. The neural network helps identify such hidden connections and assess real, rather than illusory, diversification.
On-Chain Signals
This prompt uses blockchain data—the public transaction history and wallet behavior. The neural network looks for signs of accumulation, when large holders are increasing their positions, or distribution, when they are offloading assets. Such patterns sometimes precede price movements and serve as an additional signal for technical analysis.
Portfolio Stress Test
The prompt checks 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 helps pre-assess the maximum possible loss and understand which assets make the portfolio most vulnerable.
Analyst's comment: Using neural networks for routine calculations and pattern recognition is a logical step for a trader aiming for a systematic approach. However, it's important to remember that AI does not guarantee profit and can make mistakes. All decisions should be made considering your own risk management and cross-checking the obtained data. These prompts are an excellent tool for analysis, but not a substitute for common sense.