fin-cogWall Street-grade analysis, accessible globally. Deep financial reasoning powered by #1 on DeepResearch Bench (Feb 2026) + SOTA financial models — stock analysis, valuation models, portfolio optimization, earnings breakdowns, financial statements, tax planning, and investment research. From raw tickers to boardroom-ready deliverables in one request.
Install via ClawdBot CLI:
clawdbot install nitishgargiitd/fin-cogWall Street-grade analysis, accessible globally. Deep financial reasoning powered by #1 on DeepResearch Bench (Feb 2026) + SOTA financial models.
The best financial analysis has always lived behind Bloomberg terminals, institutional research desks, and $500/hour consultants. CellCog brings that same depth — stock analysis, valuation models, portfolio optimization, earnings breakdowns — to anyone with a prompt. From raw tickers to boardroom-ready deliverables in one request.
This skill requires the cellcog skill for SDK setup and API calls.
clawhub install cellcogRead the cellcog skill first for SDK setup. This skill shows you what's possible.
Quick pattern (v1.0+):
# Fire-and-forget - returns immediately
result = client.create_chat(
prompt="[your financial analysis request]",
notify_session_key="agent:main:main",
task_label="financial-analysis",
chat_mode="agent team" # Agent team for deep financial reasoning
)
# Daemon notifies you when complete - do NOT pollDeep dives into public companies:
Example prompt:
"Create a comprehensive stock analysis for Palantir (PLTR):
Cover:
- Business model and revenue breakdown (government vs commercial)
- Last 4 quarters earnings performance
- Key financial metrics (P/E, P/S, FCF margin, revenue growth)
- Competitive positioning vs Snowflake, Databricks, C3.ai
- Bull and bear thesis
- Valuation assessment
Deliver as an interactive HTML report with charts."
Manage and optimize investments:
Build professional financial models:
Professional financial deliverables:
Everyday financial planning:
CellCog delivers financial analysis in multiple formats:
| Format | Best For |
|--------|----------|
| Interactive HTML Dashboard | Explorable charts, drill-down analysis, live data presentation |
| PDF Report | Shareable, printable investment memos and reports |
| XLSX Spreadsheet | Editable financial models, projections, calculations |
| Markdown | Quick analysis for integration into your docs |
Specify your preferred format in the prompt:
| Scenario | Recommended Mode |
|----------|------------------|
| Quick lookups, single stock metrics, basic calculations | "agent" |
| Deep analysis, valuation models, multi-company comparisons, investment research | "agent team" |
Use "agent team" for most financial analysis. Financial work demands deep reasoning, data cross-referencing, and multi-source synthesis. Agent team mode delivers the depth that serious financial analysis requires.
Use "agent" for quick financial lookups — current stock price, simple calculations, or basic metric checks.
Comprehensive stock analysis:
"Create a full investment analysis for AMD:
1. Business Overview — segments, revenue mix, competitive positioning
2. Financial Performance — last 8 quarters revenue, margins, EPS trends
3. Valuation — P/E, P/S, PEG vs peers (NVDA, INTC, QCOM)
4. Growth Catalysts — AI/datacenter, gaming, embedded
5. Risk Factors — competition, cyclicality, customer concentration
6. Bull/Bear/Base price targets
Interactive HTML report with comparison charts."
Financial model:
"Build a startup financial model:
Business: B2B SaaS, project management tool
Current: $30K MRR, 200 customers, $150 ARPU
Growth: 12% MoM for 12 months, then 8% for next 12
Team: 8 people now, hiring 4 in next year
Expenses: $180K/month burn rate
Create a 24-month projection showing:
- Revenue forecast with cohort analysis
- Expense breakdown and hiring plan
- Cash flow and runway
- Unit economics (CAC, LTV, payback period)
- Break-even analysis
Deliver as Excel spreadsheet with charts."
Personal finance:
"I'm 28, earning $120K/year in San Francisco. I want to:
1. Max out 401K contributions
2. Build a 6-month emergency fund ($30K)
3. Save for a house down payment ($100K in 5 years)
4. Start investing in index funds
Create a detailed monthly financial plan that shows how to prioritize these goals with my take-home pay after taxes. Include a timeline and visual roadmap."
Earnings analysis:
"Break down Tesla's most recent quarterly earnings:
- Revenue vs estimates (beat/miss by how much?)
- Automotive margins — trend over last 4 quarters
- Energy and services segment performance
- Key quotes from management on guidance
- What analysts are saying post-earnings
- Bull and bear reactions
Deliver as a concise PDF report with charts."
Generated Mar 1, 2026
Retail investors can request deep stock analysis, including valuation models and peer comparisons, to make informed decisions without needing expensive research subscriptions. For example, analyzing NVIDIA's competitive moat and forward guidance to assess investment potential.
Financial advisors can use this skill to optimize client portfolios by analyzing diversification, risk metrics like Sharpe ratio, and recommending rebalancing strategies. It helps in creating tailored asset allocation plans for clients with varying risk tolerances.
Entrepreneurs can generate pro forma financial statements and 3-year projections for fundraising, such as modeling a B2B SaaS startup's growth. This aids in presenting data-driven business plans to investors.
Individuals can get personalized advice on retirement planning, debt payoff strategies, and budget optimization. For instance, creating a plan to save $1,000 more monthly by analyzing spending breakdowns.
Small business owners can automate the creation of quarterly financial reports and investment memos, such as generating a PDF report for boardroom presentations. This streamlines financial documentation without hiring consultants.
Offer tiered subscription plans for users to access premium financial analysis features, such as advanced valuation models and interactive dashboards. This generates recurring revenue from retail investors and small businesses seeking ongoing insights.
Charge per analysis request based on complexity, like DCF models or portfolio optimizations, targeting financial advisors and enterprises. This allows flexible pricing for occasional users while scaling with demand.
License the skill to banks, investment firms, or fintech platforms as an embedded tool for their clients. This provides a B2B revenue stream by integrating Wall Street-grade analysis into existing financial products.
💬 Integration Tip
Ensure the cellcog skill is installed first for SDK setup, and use 'agent team' chat mode for deep financial analysis to leverage multi-agent reasoning and data synthesis.
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