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Modern neural networks are no longer just "chatterboxes." With the right setup and necessary tools connected, they can read your charts, write trading indicators, test strategies on historical data, and analyze your trades. However, no prompt prints money. A neural network is merely a powerful tool for eliminating routine tasks; the final decision always rests with you.

I have analyzed dozens of approaches to using AI in trading and identified 10 key prompts that turn Claude into a full-fledged assistant. Three of them (prompts 1, 6, and 7) require connecting a special TradingView MCP connector to read a live chart. The other seven work in a regular chat immediately.

1. Reading the Chart: An Objective Outside Perspective

This prompt forces the neural network to look at your chart and describe only what is actually visible: where the market is heading, where important levels are, and what the indicators show. No forecasts — just facts. Requires connecting TradingView MCP.

Example prompt (abbreviated): "You are a technical analyst. Read the live chart of [TICKER] on the [TIMEFRAME] timeframe via TradingView and describe only what is actually visible, without forecasts or advice. Answer strictly point by point: market structure, 2-3 key support/resistance levels, indicator readings, one detail that most people miss."

2. Creating an Indicator: From Idea to Code in a Minute

You don't need to be a programmer. You simply describe the signal condition in words, and Claude writes ready-made code in Pine Script v6 for TradingView. The neural network itself will honestly warn you in which cases the indicator might be wrong.

Example prompt: "You are a Pine Script v6 developer. Write the entire indicator so I don't have to write a single line of code. Signal condition: [describe in detail, e.g., 'the fast EMA 9 crosses the slow EMA 21 from bottom to top, and volume is above the average of the last 20 candles']. Requirements: v6 syntax, visual marking on the chart, alertcondition, comments in Russian. After the code, in a separate paragraph: one specific market scenario where this indicator will give a false signal, and why."

3. Turning an Idea into Clear Rules

Every trader has ideas like "buy on a pullback." The problem is that "pullback" means different things to different people. This prompt forces the neural network to translate a vague idea into precise, computable rules: exactly where to enter, where to exit, where to place a stop-loss, and what volume to trade. The rules must be so clear that two different people would trade them identically.

4. Testing a Strategy on Historical Data

Before risking real money, a strategy should be backtested. Claude takes your rules from the previous prompt, adds a real commission (0.1% per trade), and turns them into strategy code for TradingView. You see every past trade: where you made money, where you lost it, and how deep the account drawdown was. The neural network also explains how to distinguish a genuinely good result from "curve fitting."

5. Analyzing Losses: Finding the Root Cause

The most valuable prompt in the selection. You give the neural network a table of your trades, and it looks for commonalities in all losing ones: maybe you lose at the same time of day, or in a calm market, or on a specific type of entry. It then suggests one specific filter that would have cut out such trades and honestly assesses whether it is too "fitted" to the past.

6. Market Scanner: Finding Opportunities in Seconds

Instead of manually scrolling through dozens of coins, you give the neural network a list of tickers and describe the desired chart situation. It goes through the entire list via TradingView MCP and marks only those that currently fit. It discards borderline options. It sorts the remaining ones from best to worst and explains its choice.

7. Setting Up Alerts: Don't Miss the Moment

Claude sets up a notification that will reach you the moment the desired event occurs on the chart. The trick is in the alert text: not an empty "signal triggered," but a clear message that immediately tells you which coin, at what level, and what to do. Requires TradingView MCP.

8. Checking a Trade on Different Timeframes

The same trade can look attractive on a short timeframe but go against the overall market movement. This prompt forces the neural network to look at the picture from top to bottom: what is happening on the weekly and daily charts, does the 4-hour chart agree, and is your entry with or against the overall trend. At the end — a simple verdict: enter, wait, or skip.

9. Analyzing a Trading Journal: An Honest Review of Your Actions

The neural network acts like a strict coach. You give it your last 30 trades, and it finds your most profitable technique, your most harmful habit, as well as a technique you think works but actually doesn't make money. It also suggests a time or situation when you should not trade at all. The result is one clear rule added to your trading plan.

10. Calculating Risk and Trade Size: Discipline Above All

The final prompt is about discipline. You specify your account size, how much you are willing to lose on a single trade, and the entry, stop, and target prices. The neural network calculates the exact position size, the amount at risk, and the profit-to-risk ratio (R:R). If the potential profit is less than 1.5 times the risk, the prompt directly tells you to skip the trade.

My comment as an analyst: These prompts are not a magic pill but a powerful tool for automating routine tasks and objectifying decisions. However, remember: neural networks can also make mistakes, and the final responsibility for a trade always lies with you. Use them as an assistant, but not as an oracle.