6 AI prompts used by a trader with an audience of 200,000 subscribers
A trader with a multi-thousand audience on social media has revealed an arsenal of six commands for neural networks that help him in his daily work on the market. This is not about fortune-telling, but about structured analytical queries that allow you to look at the market from different angles. Let's break down how these prompts work and how they can be integrated into your own trading strategy.
Risk/Reward: The Foundation of Any Trade
The first prompt forces the neural network to break down a specific trade into its components: potential profit versus possible loss. The output gives the trader clear guidelines — an entry point, a stop-loss level, and a target for taking profit. This instills discipline and prevents entering positions with unfavorable ratios, which is a cornerstone of risk management.
Macro Overview: A Look Beyond the Chart
The second prompt shifts the focus from a microscope to a telescope. Instead of analyzing the candlestick chart of a single asset, the neural network assesses the impact of global macroeconomic factors: central bank key rates, inflation expectations, and the dynamics of the US dollar. This is indispensable during periods when the market is driven not by technical signals but by regulatory decisions.
Liquidity Map: Where Stops Are Hiding
The third prompt is aimed at finding liquidity zones — areas where stop orders from retail traders and large institutional orders are concentrated. The market often "gravitates" toward these levels to collect liquidity before a reversal. Understanding these zones helps avoid false breakouts and adjust protective orders in a timely manner.
Correlation Matrix: Hidden Portfolio Risks
The fourth prompt analyzes the relationships between assets in a portfolio. If several positions move in sync, diversification is illusory — when the market turns, they will all decline simultaneously. The neural network helps identify these hidden connections and assess real, rather than apparent, 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 looks for accumulation patterns (when large holders increase their positions) or distribution patterns (when they offload assets). Such signals often precede price movements and serve as additional confirmation for technical analysis.
Portfolio Stress Test: Preparedness for the Worst
The sixth prompt models adverse scenarios — for example, a sharp market decline of 20-30%. The neural network shows which positions will suffer the most and what the maximum possible loss will be. This allows you to assess the portfolio's vulnerability in advance and, if necessary, rebalance it.
Analyst's Comment. Using AI for routine analysis is an evolution, not a revolution. However, it is critically important to remember that a neural network is a tool for calculations, not a crystal ball. All data obtained from AI must be double-checked and interpreted by the trader. Automating analysis is a path to discipline, but not to blindly following signals. The market will always be more complex than any model.