Automate Financial Research with the Openclaw of Stocks

In this guide, you will learn how to set up Dexter, an open-source financial research agent that works like OpenClaw for stock research. Dexter can read earnings reports, interpret SEC filings, pull up-to-date market data, and help you turn a messy company question into a source-backed research brief.

• Investors and analysts who want a faster first pass on earnings, filings, stock prices, and company context.
• Founders and operators who need company research before sales calls, diligence, partnerships, or competitor reviews.
• Agent builders who want to see how a narrow, single-purpose agent can be easier to trust than a general-purpose assistant.

You will set up Dexter as an always-on command-line analyst for the stock market. Once it is running, you can ask plain-English questions about a company, ticker, earnings report, filing, competitor, or market move, and Dexter will pull the research it needs before answering.

Use it to compare stocks, read SEC filings, summarize earnings, pull current market data, and run follow-up research without opening a new browser tab every time. You can also leave it running with `/heartbeat`, which turns it into a 24/7 analyst for recurring watchlist checks.

• A VPS or spare computer where Dexter can run without slowing down your main machine
• A terminal-based agent such as Codex or Claude Code to help with setup
• The Dexter GitHub repo
• An API key from OpenRouter, OpenAI, or Anthropic
• A Financial Datasets API key; expect to add about $20 to get started
• Optional: a Perplexity API key for web search and an xAI API key if you want Twitter/X sentiment

Connect Dexter to X so it can add Twitter sentiment to the research brief. A good next prompt would be:

Add Twitter/X sentiment to this research workflow for [COMPANY_NAME].

Use it only as one signal. Compare sentiment against filings, earnings, market data, and recent news before drawing conclusions.

Return:
- the strongest positive sentiment themes
- the strongest negative sentiment themes
- whether the market data supports or contradicts the sentiment
- what I should verify before acting on it

You can also adapt the same setup for earnings prep, competitor monitoring, diligence, or sales research. Keep the same pattern: ask a narrow question, make Dexter pull evidence, inspect the sources, then automate only the checks you actually want repeated.