Claude Neural Network as Your Personal Trader: 10 Powerful Prompts for Professional Analysis
Modern neural networks have gone far beyond simple communication. With proper configuration and connection of specialized tools, such as the TradingView MCP connector, they are capable of analyzing charts in real time, writing trading indicators, testing strategies on historical data, and dissecting your trades. However, no prompt prints money — the neural network merely automates the routine, while key decisions remain yours.
As a Cryptalist analyst, I have selected ten of the most effective prompts that turn the Claude neural network into a full-fledged trading assistant. Three of them (prompts 1, 6, and 7) require connecting TradingView MCP to read live charts, while the remaining seven work in a regular chat.
1. Reading the Chart
The neural network reviews your chart and describes what is happening in simple terms: market direction, key levels, indicator readings. No forecasts — only facts. Requires TradingView MCP connection.
Example prompt:
You are a technical analyst. Read the live chart of [TICKER] on the [TIMEFRAME] timeframe via the TradingView connection and describe only what is actually visible, without forecasts or advice. Answer strictly point by point: market structure, 2–3 key support and resistance levels, indicator readings, one detail that most people miss.
2. Creating an Indicator
You describe in words when you want to receive a signal, and the neural network generates ready-made code in Pine Script v6 for TradingView. It will also honestly warn you about cases where the indicator might be wrong.
Example prompt:
You are a Pine Script v6 developer. Write the entire indicator so that I don't have to write a single line of code. Signal condition: [describe the condition in detail, e.g., "fast EMA 9 crosses 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, a ready-made alert with meaningful text, comments in Russian for each significant line. After the code, in a separate paragraph, describe one specific case where this indicator will give a false signal.
3. Turning an Idea into Clear Rules
Vague concepts like "buy on a pullback" are understood differently by every trader. This prompt forces the neural network to formalize the idea into precise rules for entry, exit, stop-loss, and position size.
4. Backtesting a Strategy
The neural network takes your rules from the previous prompt, adds a real commission of 0.1%, and turns them into strategy code. You paste it into TradingView and see every past trade: where you made money, where you lost, and what the maximum account drawdown was.
5. Analyzing Losses
The most valuable prompt in the selection. You give the neural network a table of your trades, and it looks for common traits among all losing ones: time of day, direction, market state, entry type. Then it suggests one filter that would have cut out most of those trades and honestly assesses whether it is too overfitted to the past.
6. Market Scanner
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 and marks only those that currently meet the conditions. Requires TradingView MCP.
7. Setting Up Alerts
The neural network sets up an alert on the chart that will trigger at the moment of the desired event and writes the notification text so that you immediately understand: which coin, what level, what to do. No empty "signal triggered." Requires TradingView MCP.
8. Checking a Trade Across Different Timeframes
The same trade may look attractive on a short timeframe but go against the overall trend. This prompt forces the neural network to check consistency from the weekly chart down to your working timeframe and deliver a verdict: enter, wait, or skip.
9. Analyzing a Trading Journal
The neural network works as a strict coach. You give it the 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 bring in money. The result is one clear rule for your plan.
10. Calculating Risk and Trade Size
The final prompt is about discipline. You specify account size, maximum risk per trade, entry, stop, and target prices. The neural network calculates the exact position size, profit-to-risk ratio, and directly tells you to skip the trade if the R:R is below 1.5.
My professional opinion: These prompts are not a magic pill but a powerful tool for automating routine tasks. They save hours of manual analysis and help avoid emotional mistakes. But remember: neural networks also make mistakes, and the final decision always rests with the human. Use them as an assistant, not as an oracle.