fin-cog

What This Skill Does

Fin Cog is a sophisticated financial analysis agent designed to bring Wall Street-grade research and modeling to your OpenClaw environment. Powered by top-tier financial reasoning models and validated by the Feb 2026 DeepResearch Bench, this skill allows users to transform raw market data and ticker symbols into professional-grade financial intelligence. From conducting deep-dive stock analysis and constructing complex DCF models to optimizing multi-asset portfolios and analyzing quarterly earnings, Fin Cog acts as an institutional research desk accessible via simple natural language prompts.

Installation

To begin using the skill, ensure you have the OpenClaw SDK installed. Fin Cog relies on the cellcog base skill for robust API interaction. Run the following command in your terminal:

clawhub install openclaw/skills/skills/nitishgargiitd/fin-cog

Ensure that you have completed the installation and configuration of the cellcog skill first, as Fin Cog delegates its API calls and session management through this parent skill.

Use Cases

Fin Cog excels in three primary domains:

1. Equity & Market Analysis: Perform competitive deep dives, extract key insights from earnings call transcripts, and generate technical analyses using price action, volume trends, and moving averages.
2. Portfolio Management: Utilize algorithmic models to review diversification, calculate risk metrics like Sharpe ratios and beta, and receive actionable rebalancing recommendations that account for tax implications.
3. Financial Modeling: Automatically generate structured valuation models, including Discounted Cash Flow (DCF) scenarios, and create boardroom-ready visual reports summarizing performance metrics and competitive positioning.

Example Prompts

• "Analyze the current competitive landscape for AI chipmakers: compare NVIDIA, AMD, and Intel on gross margins, R&D spend, and 3-year revenue growth projections."
• "Create a DCF model for Tesla using a 10% discount rate and a 3% terminal growth rate, including bear, base, and bull case scenarios."
• "Evaluate my current portfolio of 50% tech stocks and 50% dividend-yielding ETFs; identify concentration risks and suggest a rebalancing strategy for tax efficiency."

Tips & Limitations

For best results, provide specific contexts such as timeframes or target benchmark indices. While Fin Cog leverages state-of-the-art models, it should be used as a research aid and not as a replacement for professional financial advice. Ensure your input data is accurate to maintain the integrity of your valuation models. The tool is optimized for public equity analysis; private market data may vary in depth.