The cryptocurrency market constantly demands flexibility and speed from traders. Now, you don't need to be a programmer to create your own custom indicator for TradingView. The combination of TradingView MCP and the Claude Fable 5 language model opens the doors to technical analysis for anyone who can articulate their trading ideas.
One well-known analyst, who is far from the technical side of the process, has proven through his own example that this setup works. According to him, every trader who wants to automate finding entry and exit points should set up such a system.
What is needed for setup?
Three key components are required to get started: Claude Code, the TradingView desktop application, and a Node.js environment version 18 or higher. The first step is installing TradingView MCP itself. To do this, you need to give a command in Claude Code to install the MCP server, specifying the repository link.
The second step is the most important and creative. You need to describe the future indicator in simple language. Your task is to explain the strategy as if you were telling it to a fellow trader: don't think about the code, focus on the trade conditions. Create a separate folder, open it in Claude Code, and in the prompt specify that the indicator is written for TradingView in Pine Script V6. Describe the conditions under which a buy signal should trigger. The model is even capable of conducting preliminary research for the user, which is ideal for beginners.
How to run the indicator?
The third step is transferring the finished code. Copy the Pine Script code generated by the model. In TradingView, open the indicators section, go to "My Scripts," and create a new one. Paste the code from the first line — the indicator will immediately appear on the chart and start working.
The analyst also shared several professional tips. It's better to first test signals on higher timeframes — they are cleaner and more reliable than on lower ones. Additionally, I recommend setting up alerts and turning the indicator into a strategy for backtesting on historical data. If errors occur, it's best to debug the code using the Opus model in high-effort mode.
My professional opinion: This is truly a revolutionary step. Previously, creating a quality indicator required either deep knowledge of Pine Script or hiring a developer. Now the entry barrier drops to zero. However, don't forget: the AI generates code based on your description. The more accurate and logical your description of the strategy, the more effective the result will be. This isn't magic, but a powerful tool for those who are willing to think structurally.