Build a Daily Watchlist Tracker in Minutes Using Claude + MCP

· Source: AI Advances - Medium · Field: Finance & Economics — Capital Markets & Investment Management, FinTech & Digital Financial Services · Depth: Intermediate, long

Summary

This article details a workflow for traders to create a prioritized daily watchlist tracker using Claude, connected to Financial Modeling Prep's (FMP) MCP server. The system processes a raw watchlist and open positions, ranking securities based on price move significance, earnings proximity (within a 7-day window), open position priority, and unusual relative moves. The setup involves adding FMP's MCP server URL (https://financialmodelingprep.com/mcp?apikey=YOUR_FMP_API_KEY) as a custom connector in Claude, defining a permanent workflow instruction set, and using a fixed daily input template. The output is a structured, decision-friendly brief that categorizes stocks into "Review Now," "Review if Time Permits," "Calendar Flag Only," and "Low Priority" tiers, providing a clear operating view for premarket analysis or other time-constrained scenarios.

Key takeaway

For traders needing to quickly prioritize a large watchlist before market open, implementing this Claude + FMP MCP workflow can significantly streamline your morning routine. By automating the initial triage and ranking based on predefined rules, you can focus your limited attention on the most impactful securities, such as those with significant price moves, imminent earnings, or high-priority open positions, rather than manually sifting through extensive data.

Key insights

Integrate Claude with FMP MCP to automate watchlist triage, prioritizing stocks based on market data and predefined rules.

Principles

Method

Connect Claude to FMP MCP, define a permanent workflow instruction set for ranking and catalyst checks, use a fixed daily input template, and execute with a single prompt to generate a tiered, structured trading brief.

In practice

Topics

Best for: Domain Expert, Prompt Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Advances - Medium.