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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.\n\nTags: latest:1.0.1\n\nVersion history:\n\nv1.0.1 | 2026-02-11T01:42:04.388Z | user\n\nfin-cog 1.0.1\n\n- Added author field (\"CellCog\") and dependencies ([cellcog]) to skill metadata.\n- Clarified prerequisite by renaming \"CellCog mothership skill\" to \"`cellcog` skill\".\n- No changes to core functionality or features.\n\nv1.0.0 | 2026-02-08T00:43:31.985Z | user\n\nInitial release of fin-cog: Wall Street-grade financial analysis for everyone.\n\n- Provides advanced financial analysis: stock deep dives, valuation models, portfolio optimization, earnings breakdowns, financial statements, tax planning, and more.\n- Integrates state-of-the-art financial models and ranks #1 on DeepResearch Bench (Feb 2026).\n- Supports a wide range of deliverables: interactive HTML dashboards, PDF reports, Excel models, and Markdown.\n- Designed for use with the CellCog skill for setup and API calls.\n- Includes extensive documentation, examples, prompt patterns, and guidance for both deep and quick financial tasks.\n\nArchive index:\n\nArchive v1.0.1: 2 files, 4223 bytes\n\nFiles: SKILL.md (8729b), _meta.json (126b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: fin-cog\ndescription: \"Wall 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.\"\nmetadata:\n  openclaw:\n    emoji: \"💰\"\nauthor: CellCog\ndependencies: [cellcog]\n---\n\n# Fin Cog - Wall Street-Grade Analysis, Accessible Globally\n\n**Wall Street-grade analysis, accessible globally.** Deep financial reasoning powered by #1 on DeepResearch Bench (Feb 2026) + SOTA financial models.\n\nThe 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.\n\n---\n\n## Prerequisites\n\nThis skill requires the `cellcog` skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**Quick pattern (v1.0+):**\n```python\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your financial analysis request]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"financial-analysis\",\n    chat_mode=\"agent team\"  # Agent team for deep financial reasoning\n)\n# Daemon notifies you when complete - do NOT poll\n```\n\n---\n\n## What Financial Work You Can Do\n\n### Stock & Equity Analysis\n\nDeep dives into public companies:\n\n- **Company Analysis**: \"Analyze NVIDIA — revenue trends, margins, competitive moat, and forward guidance\"\n- **Earnings Breakdowns**: \"Break down Apple's Q4 2025 earnings — beat/miss, segment performance, management commentary\"\n- **Valuation Models**: \"Build a DCF model for Microsoft with bear, base, and bull scenarios\"\n- **Peer Comparisons**: \"Compare semiconductor stocks — NVDA, AMD, INTC, TSM — on valuation, growth, and profitability metrics\"\n- **Technical Analysis**: \"Analyze Tesla's price action — key support/resistance levels, moving averages, and volume trends\"\n\n**Example prompt:**\n> \"Create a comprehensive stock analysis for Palantir (PLTR):\n> \n> Cover:\n> - Business model and revenue breakdown (government vs commercial)\n> - Last 4 quarters earnings performance\n> - Key financial metrics (P/E, P/S, FCF margin, revenue growth)\n> - Competitive positioning vs Snowflake, Databricks, C3.ai\n> - Bull and bear thesis\n> - Valuation assessment\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### Portfolio Analysis & Optimization\n\nManage and optimize investments:\n\n- **Portfolio Review**: \"Analyze my portfolio: 40% AAPL, 20% MSFT, 15% GOOGL, 15% AMZN, 10% TSLA — diversification, risk, and recommendations\"\n- **Asset Allocation**: \"Design an optimal portfolio for a 35-year-old with $200K, moderate risk tolerance\"\n- **Risk Assessment**: \"Calculate the Sharpe ratio, beta, and maximum drawdown for this portfolio over the last 3 years\"\n- **Rebalancing**: \"My portfolio drifted from target — recommend rebalancing trades to minimize tax impact\"\n\n### Financial Modeling\n\nBuild professional financial models:\n\n- **DCF Models**: \"Build a discounted cash flow model for Shopify with sensitivity analysis on growth and discount rate\"\n- **Startup Financial Models**: \"Create a 3-year financial projection for a B2B SaaS with $50K MRR growing 15% monthly\"\n- **LBO Models**: \"Model a leveraged buyout scenario for a $100M revenue company at 8x EBITDA\"\n- **Scenario Analysis**: \"Create a 3-scenario model (recession, baseline, boom) for a retail REIT portfolio\"\n\n### Financial Documents & Reports\n\nProfessional financial deliverables:\n\n- **Investment Memos**: \"Write an investment memo recommending a position in CrowdStrike\"\n- **Quarterly Reports**: \"Create a quarterly financial report for my small business\"\n- **Financial Statements**: \"Generate pro forma financial statements for a startup fundraise\"\n- **Tax Planning**: \"Analyze tax optimization strategies for a freelancer earning $150K with $30K in capital gains\"\n\n### Personal Finance\n\nEveryday financial planning:\n\n- **Retirement Planning**: \"How much do I need to save monthly to retire at 55 with $2M? I'm 30, saving $2K/month currently\"\n- **Mortgage Analysis**: \"Compare a 15-year vs 30-year mortgage on a $500K home with 20% down at current rates\"\n- **Debt Payoff**: \"Create a debt payoff plan: $15K student loans at 5%, $8K credit card at 22%, $25K car loan at 6%\"\n- **Budget Optimization**: \"Analyze my spending breakdown and recommend where to cut to save $1,000/month more\"\n\n---\n\n## Output Formats\n\nCellCog delivers financial analysis in multiple formats:\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Explorable charts, drill-down analysis, live data presentation |\n| **PDF Report** | Shareable, printable investment memos and reports |\n| **XLSX Spreadsheet** | Editable financial models, projections, calculations |\n| **Markdown** | Quick analysis for integration into your docs |\n\nSpecify your preferred format in the prompt:\n- \"Deliver as an interactive HTML report with charts\"\n- \"Create a PDF investment memo\"\n- \"Build this as an editable Excel model\"\n\n---\n\n## Chat Mode for Finance\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick lookups, single stock metrics, basic calculations | `\"agent\"` |\n| Deep analysis, valuation models, multi-company comparisons, investment research | `\"agent team\"` |\n\n**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.\n\n**Use `\"agent\"` for quick financial lookups** — current stock price, simple calculations, or basic metric checks.\n\n---\n\n## Example Prompts\n\n**Comprehensive stock analysis:**\n> \"Create a full investment analysis for AMD:\n> \n> 1. Business Overview — segments, revenue mix, competitive positioning\n> 2. Financial Performance — last 8 quarters revenue, margins, EPS trends\n> 3. Valuation — P/E, P/S, PEG vs peers (NVDA, INTC, QCOM)\n> 4. Growth Catalysts — AI/datacenter, gaming, embedded\n> 5. Risk Factors — competition, cyclicality, customer concentration\n> 6. Bull/Bear/Base price targets\n> \n> Interactive HTML report with comparison charts.\"\n\n**Financial model:**\n> \"Build a startup financial model:\n> \n> Business: B2B SaaS, project management tool\n> Current: $30K MRR, 200 customers, $150 ARPU\n> Growth: 12% MoM for 12 months, then 8% for next 12\n> Team: 8 people now, hiring 4 in next year\n> Expenses: $180K/month burn rate\n> \n> Create a 24-month projection showing:\n> - Revenue forecast with cohort analysis\n> - Expense breakdown and hiring plan\n> - Cash flow and runway\n> - Unit economics (CAC, LTV, payback period)\n> - Break-even analysis\n> \n> Deliver as Excel spreadsheet with charts.\"\n\n**Personal finance:**\n> \"I'm 28, earning $120K/year in San Francisco. I want to:\n> 1. Max out 401K contributions\n> 2. Build a 6-month emergency fund ($30K)\n> 3. Save for a house down payment ($100K in 5 years)\n> 4. Start investing in index funds\n> \n> 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.\"\n\n**Earnings analysis:**\n> \"Break down Tesla's most recent quarterly earnings:\n> \n> - Revenue vs estimates (beat/miss by how much?)\n> - Automotive margins — trend over last 4 quarters\n> - Energy and services segment performance\n> - Key quotes from management on guidance\n> - What analysts are saying post-earnings\n> - Bull and bear reactions\n> \n> Deliver as a concise PDF report with charts.\"\n\n---\n\n## Tips for Better Financial Analysis\n\n1. **Be specific about metrics**: \"Revenue growth\" is vague. \"YoY revenue growth for the last 8 quarters with segment breakdown\" is precise.\n\n2. **Specify time horizons**: \"Analyze AAPL\" is open-ended. \"Analyze AAPL's performance and outlook for the next 12 months\" is actionable.\n\n3. **State your purpose**: \"For an investment decision\", \"For a board presentation\", \"For personal planning\" — context shapes the analysis.\n\n4. **Include constraints**: Budget, risk tolerance, time horizon, tax situation — these matter for financial recommendations.\n\n5. **Request scenarios**: \"Include bear, base, and bull cases\" gives you a range, not just a point estimate.\n\n6. **Ask for the deliverable you need**: \"Interactive dashboard\", \"PDF memo\", \"Excel model\" — specify the format for the best result.\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"fin-cog\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1770774124388\n}\n\nArchive v1.0.0: 2 files, 4205 bytes\n\nFiles: SKILL.md (8698b), _meta.json (126b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: fin-cog\ndescription: \"Wall 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.\"\nmetadata:\n  openclaw:\n    emoji: \"💰\"\n---\n\n# Fin Cog - Wall Street-Grade Analysis, Accessible Globally\n\n**Wall Street-grade analysis, accessible globally.** Deep financial reasoning powered by #1 on DeepResearch Bench (Feb 2026) + SOTA financial models.\n\nThe 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.\n\n---\n\n## Prerequisites\n\nThis skill requires the CellCog mothership skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**Quick pattern (v1.0+):**\n```python\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your financial analysis request]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"financial-analysis\",\n    chat_mode=\"agent team\"  # Agent team for deep financial reasoning\n)\n# Daemon notifies you when complete - do NOT poll\n```\n\n---\n\n## What Financial Work You Can Do\n\n### Stock & Equity Analysis\n\nDeep dives into public companies:\n\n- **Company Analysis**: \"Analyze NVIDIA — revenue trends, margins, competitive moat, and forward guidance\"\n- **Earnings Breakdowns**: \"Break down Apple's Q4 2025 earnings — beat/miss, segment performance, management commentary\"\n- **Valuation Models**: \"Build a DCF model for Microsoft with bear, base, and bull scenarios\"\n- **Peer Comparisons**: \"Compare semiconductor stocks — NVDA, AMD, INTC, TSM — on valuation, growth, and profitability metrics\"\n- **Technical Analysis**: \"Analyze Tesla's price action — key support/resistance levels, moving averages, and volume trends\"\n\n**Example prompt:**\n> \"Create a comprehensive stock analysis for Palantir (PLTR):\n> \n> Cover:\n> - Business model and revenue breakdown (government vs commercial)\n> - Last 4 quarters earnings performance\n> - Key financial metrics (P/E, P/S, FCF margin, revenue growth)\n> - Competitive positioning vs Snowflake, Databricks, C3.ai\n> - Bull and bear thesis\n> - Valuation assessment\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### Portfolio Analysis & Optimization\n\nManage and optimize investments:\n\n- **Portfolio Review**: \"Analyze my portfolio: 40% AAPL, 20% MSFT, 15% GOOGL, 15% AMZN, 10% TSLA — diversification, risk, and recommendations\"\n- **Asset Allocation**: \"Design an optimal portfolio for a 35-year-old with $200K, moderate risk tolerance\"\n- **Risk Assessment**: \"Calculate the Sharpe ratio, beta, and maximum drawdown for this portfolio over the last 3 years\"\n- **Rebalancing**: \"My portfolio drifted from target — recommend rebalancing trades to minimize tax impact\"\n\n### Financial Modeling\n\nBuild professional financial models:\n\n- **DCF Models**: \"Build a discounted cash flow model for Shopify with sensitivity analysis on growth and discount rate\"\n- **Startup Financial Models**: \"Create a 3-year financial projection for a B2B SaaS with $50K MRR growing 15% monthly\"\n- **LBO Models**: \"Model a leveraged buyout scenario for a $100M revenue company at 8x EBITDA\"\n- **Scenario Analysis**: \"Create a 3-scenario model (recession, baseline, boom) for a retail REIT portfolio\"\n\n### Financial Documents & Reports\n\nProfessional financial deliverables:\n\n- **Investment Memos**: \"Write an investment memo recommending a position in CrowdStrike\"\n- **Quarterly Reports**: \"Create a quarterly financial report for my small business\"\n- **Financial Statements**: \"Generate pro forma financial statements for a startup fundraise\"\n- **Tax Planning**: \"Analyze tax optimization strategies for a freelancer earning $150K with $30K in capital gains\"\n\n### Personal Finance\n\nEveryday financial planning:\n\n- **Retirement Planning**: \"How much do I need to save monthly to retire at 55 with $2M? I'm 30, saving $2K/month currently\"\n- **Mortgage Analysis**: \"Compare a 15-year vs 30-year mortgage on a $500K home with 20% down at current rates\"\n- **Debt Payoff**: \"Create a debt payoff plan: $15K student loans at 5%, $8K credit card at 22%, $25K car loan at 6%\"\n- **Budget Optimization**: \"Analyze my spending breakdown and recommend where to cut to save $1,000/month more\"\n\n---\n\n## Output Formats\n\nCellCog delivers financial analysis in multiple formats:\n\n| Format | Best For |\n|--------|----------|\n| **Interactive HTML Dashboard** | Explorable charts, drill-down analysis, live data presentation |\n| **PDF Report** | Shareable, printable investment memos and reports |\n| **XLSX Spreadsheet** | Editable financial models, projections, calculations |\n| **Markdown** | Quick analysis for integration into your docs |\n\nSpecify your preferred format in the prompt:\n- \"Deliver as an interactive HTML report with charts\"\n- \"Create a PDF investment memo\"\n- \"Build this as an editable Excel model\"\n\n---\n\n## Chat Mode for Finance\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Quick lookups, single stock metrics, basic calculations | `\"agent\"` |\n| Deep analysis, valuation models, multi-company comparisons, investment research | `\"agent team\"` |\n\n**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.\n\n**Use `\"agent\"` for quick financial lookups** — current stock price, simple calculations, or basic metric checks.\n\n---\n\n## Example Prompts\n\n**Comprehensive stock analysis:**\n> \"Create a full investment analysis for AMD:\n> \n> 1. Business Overview — segments, revenue mix, competitive positioning\n> 2. Financial Performance — last 8 quarters revenue, margins, EPS trends\n> 3. Valuation — P/E, P/S, PEG vs peers (NVDA, INTC, QCOM)\n> 4. Growth Catalysts — AI/datacenter, gaming, embedded\n> 5. Risk Factors — competition, cyclicality, customer concentration\n> 6. Bull/Bear/Base price targets\n> \n> Interactive HTML report with comparison charts.\"\n\n**Financial model:**\n> \"Build a startup financial model:\n> \n> Business: B2B SaaS, project management tool\n> Current: $30K MRR, 200 customers, $150 ARPU\n> Growth: 12% MoM for 12 months, then 8% for next 12\n> Team: 8 people now, hiring 4 in next year\n> Expenses: $180K/month burn rate\n> \n> Create a 24-month projection showing:\n> - Revenue forecast with cohort analysis\n> - Expense breakdown and hiring plan\n> - Cash flow and runway\n> - Unit economics (CAC, LTV, payback period)\n> - Break-even analysis\n> \n> Deliver as Excel spreadsheet with charts.\"\n\n**Personal finance:**\n> \"I'm 28, earning $120K/year in San Francisco. I want to:\n> 1. Max out 401K contributions\n> 2. Build a 6-month emergency fund ($30K)\n> 3. Save for a house down payment ($100K in 5 years)\n> 4. Start investing in index funds\n> \n> 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.\"\n\n**Earnings analysis:**\n> \"Break down Tesla's most recent quarterly earnings:\n> \n> - Revenue vs estimates (beat/miss by how much?)\n> - Automotive margins — trend over last 4 quarters\n> - Energy and services segment performance\n> - Key quotes from management on guidance\n> - What analysts are saying post-earnings\n> - Bull and bear reactions\n> \n> Deliver as a concise PDF report with charts.\"\n\n---\n\n## Tips for Better Financial Analysis\n\n1. **Be specific about metrics**: \"Revenue growth\" is vague. \"YoY revenue growth for the last 8 quarters with segment breakdown\" is precise.\n\n2. **Specify time horizons**: \"Analyze AAPL\" is open-ended. \"Analyze AAPL's performance and outlook for the next 12 months\" is actionable.\n\n3. **State your purpose**: \"For an investment decision\", \"For a board presentation\", \"For personal planning\" — context shapes the analysis.\n\n4. **Include constraints**: Budget, risk tolerance, time horizon, tax situation — these matter for financial recommendations.\n\n5. **Request scenarios**: \"Include bear, base, and bull cases\" gives you a range, not just a point estimate.\n\n6. **Ask for the deliverable you need**: \"Interactive dashboard\", \"PDF memo\", \"Excel model\" — specify the format for the best result.\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"fin-cog\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1770511411985\n}","readmeExcerpt":"Skill: fin-cog Owner: nitishgargiitd Summary: Wall 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. Tags: latest:1.0.1 Ver","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"clawhub install cellcog"},{"language":"python","snippet":"# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your financial analysis request]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"financial-analysis\",\n    chat_mode=\"agent team\"  # Agent team for deep financial reasoning\n)\n# Daemon notifies you when complete - do NOT poll"},{"language":"bash","snippet":"clawhub install cellcog"},{"language":"python","snippet":"# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your financial analysis request]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"financial-analysis\",\n    chat_mode=\"agent team\"  # Agent team for deep financial reasoning\n)\n# Daemon notifies you when complete - do NOT poll"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: fin-cog\ndescription: \"Wall 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.\"\nmetadata:\n  openclaw:\n    emoji: \"💰\"\nauthor: CellCog\ndependencies: [cellcog]\n---\n\n# Fin Cog - Wall Street-Grade Analysis, Accessible Globally\n\n**Wall Street-grade analysis, accessible globally.** Deep financial reasoning powered by #1 on DeepResearch Bench (Feb 2026) + SOTA financial models.\n\nThe 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.\n\n---\n\n## Prerequisites\n\nThis skill requires the `cellcog` skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**Quick pattern (v1.0+):**\n```python\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your financial analysis request]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"financial-analysis\",\n    chat_mode=\"agent team\"  # Agent team for deep financial reasoning\n)\n# Daemon notifies you when complete - do NOT poll\n```\n\n---\n\n## What Financial Work You Can Do\n\n### Stock & Equity Analysis\n\nDeep dives into public companies:\n\n- **Company Analysis**: \"Analyze NVIDIA — revenue trends, margins, competitive moat, and forward guidance\"\n- **Earnings Breakdowns**: \"Break down Apple's Q4 2025 earnings — beat/miss, segment performance, management commentary\"\n- **Valuation Models**: \"Build a DCF model for Microsoft with bear, base, and bull scenarios\"\n- **Peer Comparisons**: \"Compare semiconductor stocks — NVDA, AMD, INTC, TSM — on valuation, growth, and profitability metrics\"\n- **Technical Analysis**: \"Analyze Tesla's price action — key support/resistance levels, moving averages, and volume trends\"\n\n**Example prompt:**\n> \"Create a comprehensive stock analysis for Palantir (PLTR):\n> \n> Cover:\n> - Business model and revenue breakdown (government vs commercial)\n> - Last 4 quarters earnings performance\n> - Key financial metrics (P/E, P/S, FCF margin, revenue growth)\n> - Competitive positioning vs Snowflake, Databricks, C3.ai\n> - Bull and bear thesis\n> - Valuation assessment\n> \n> Deliver as an interactive HTML report with charts.\"\n\n### Portfolio Analysis & Optimization\n\nManage and optimize investments:\n\n- **Portfolio Review**: \"Analyze my portfolio: 40% AAPL, 20% MSFT, 15% GOOGL, 15% AMZN, 10% TSLA — diversification, risk, and recommendations\"\n- **Asset Allocation**: \"Design an optimal portfolio for a 35-year-old with $"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7a96cj9q65e0bhmzahv790en80ffqm\",\n  \"slug\": \"fin-cog\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1770774124388\n}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Wall 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. Skill: fin-cog Owner: nitishgargiitd Summary: Wall 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. 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