A well-known trader in the crypto community under the pseudonym Tyler Durden, whose X account has over 200,000 followers, shared his secret arsenal — six prompts for neural networks. According to him, these commands have become a key tool in his trading strategy. I have carefully studied this set and am ready to present my analysis of each one.
Risk/Reward: The Foundation of Any Trade
The first prompt forces the AI to break down a specific trade into its components: potential loss versus potential profit. The output gives the trader a clear entry point, a stop-loss level, and target profit-taking levels. This allows one to understand, even before opening a position, whether the expected return justifies the risk taken, and to weed out obviously unprofitable scenarios.
Macro Overview: A Bird's-Eye View
The second prompt shifts the focus from the chart of a specific asset to the overall economic picture. The neural network assesses how key macro factors — interest rates, inflation, and the strength of the dollar — affect the price. This approach is indispensable when market movement is driven not by technical signals but by central bank decisions and the general economic sentiment.
Liquidity Map: Where the Money is Hidden
The third prompt is aimed at finding zones of liquidity concentration — stop orders from retail traders and large orders from institutions. 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 one's own stop-loss triggered.
Correlation Matrix: Hidden Risk Concentration
The fourth prompt analyzes how closely the assets in a portfolio are related. If several positions move in sync, the portfolio only appears diversified but actually carries concentrated risk: when the market reverses, they all decline simultaneously. The neural network helps identify such hidden connections and assess real, rather than illusory, diversification.
On-Chain Signals: The Voice of the Blockchain
The fifth prompt uses blockchain data — the public transaction history and wallet behavior. The neural network is asked to find 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: Ready for the Storm
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 helps assess the maximum possible loss in advance and understand which assets make the portfolio most vulnerable.
My comment: These prompts are an excellent example of how AI can become not a replacement, but a powerful amplifier of a trader's analytical abilities. However, it is important to remember that a neural network is a tool, not an oracle. It can make mistakes, and the final decision should always remain with the human. Double-check every signal and never neglect your own risk management.