In recent months, neural networks have firmly entered the arsenal of professional traders. One well-known market player, whose audience exceeds 200,000 subscribers, shared a set of six specific prompts that, according to him, systematically improve the quality of his trading decisions. I analyzed these commands — and here is how they can be interpreted from a professional analysis perspective.
Risk/Reward: The Skeleton of Any Trade
The first prompt forces the AI to break down a specific trade into its basic components: entry point, stop-loss level, and profit target. The output gives the trader a clear mathematical justification for whether it is worth entering the position at all. These are not just numbers — they are a filter that cuts off emotional and impulsive decisions. In my practice, I always emphasize: without a preliminary risk/reward calculation, any strategy turns into a lottery.
Macro Overview: Context Matters More Than the Chart
The second prompt shifts the focus from the price of a specific asset to the global economic picture. The AI assesses how interest rates, inflation, and the strength of the dollar influence market movements. This is especially valuable during periods when technical signals break down under the pressure of macroeconomic decisions. I believe this prompt is one of the most underestimated among retail traders.
Liquidity Map: Where the Whales Hide
The third tool searches for zones where retail traders' stop-loss orders and large institutional orders accumulate. The idea is simple: price often moves precisely to where liquidity is concentrated. Understanding these levels helps not only to anticipate movements but also to protect your own stops from whale hunting.
Correlation Matrix: The Illusion of Diversification
The fourth prompt reveals hidden connections between assets in a portfolio. If several positions move synchronously, diversification turns out to be false — when the market reverses, they all drop simultaneously. The AI helps find such correlations and redistribute risks. It is like an X-ray of the portfolio: it shows what is not on the surface.
On-Chain Signals: Behavior of Large Wallets
The fifth prompt uses blockchain data — the public transaction history and activity of large holders. The AI looks for accumulation or distribution patterns that often precede price movements. In my experience, on-chain data is one of the most powerful yet difficult-to-interpret sources of signals.
Portfolio Stress Test: Readiness for Black Swans
The sixth prompt models scenarios of sharp market drawdowns and shows which positions will suffer the most. This is not just a theoretical exercise — it is an opportunity to assess the maximum possible loss in advance and understand which assets make the portfolio most vulnerable.
My professional opinion: These prompts are not magic keys to profit, but tools for systematic thinking. They help formalize analysis and remove emotions. However, AI can make mistakes, and the final decision always remains with the human. Use them as an assistant, not as an oracle.