3 guidelines that will improve your trading with the help of AI First, we connect TradingView to AI so that it can work with charts and up-to-date data to Cloud Code, Marker or Codex We send:.
Install the TradingView MCP server. Clone Run npm install. Add it to my MCP configuration at ~/. Claude/.mcp.json and run TradingView with the debug exit. Then verify the connection with tv_health_check. After that, you can go to instructions 1. Watchlist Filter We give the AI a list of properties and the most specific purchase criteria. The AI scans a given pool of coins according to your settings and cuts out all questionable situations, showing only concrete matches and ranking them by quality. Live scan of this list: [ticks] in [time frame]. I only want definitions that match '[your very specific criteria]'. Rank the suitable ones by quality, show the exact evidence for each one using price levels and indicators, highlight hidden risks and be ruthless. You won't see anything that is just a 'kind of' match. 2. Create smart alerts Instead of dozens of meaningless messages, the prompt generates an alert mode with an additional false hack filter and clear trigger text. I want an exact alert for this exact situation in [ticker]: [describe the setting, trigger, and whatever else should produce false results]. Build me:
The exact alert logic.
Handy alert message with ticker, trigger price and reason.
A secondary confirmation filter to reduce false positives.
Rules for when the alert should expire or require reconfirmation 3. Collecting everything in one workflow Here you can already integrate MCP, TradingView and your alerts. TradingView waits for the required setup - an alert is triggered - the AI receives data - checks the conditions - generates a ready analysis. For example, you can ask the AI: Follow my watchlist in TradingView for setups that match my strategy.