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View technical comparison →Finmode v1.0.0
Stock & ETF research
Developer declarations; not independently tested. Listing last checked Nov 4, 2026. Package observed Nov 3, 2026.
The Finmode plugin does not sell subscriptions, products, securities, or other goods and does not process purchases or payments.
Analyze Ferrari
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Research and compare publicly traded stocks and ETFs using Finmode Scores, quantitative fundamentals, estimated intrinsic value, expected return estimates, ETF analysis, market movers, and qualitative bull/bear analysis. Finmode provides investment research and does not provide personalized financial advice.
Language: English · Automatically detected from descriptions.
· 1 observation
Package or technical metadata updated
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--- name: investment-research description: Research, analyze, and compare publicly traded stocks and ETFs with Finmode. Use for company or ticker analysis, fair value questions, bull/bear cases, ETF analysis, stock comparisons, and current market movers. --- # Finmode investment research Use the Finmode MCP tools as the source for stock and ETF research. Reply in the user's language. ## Instrument resolution When the user provides a company, ETF, brand name, ISIN, or any identifier that is not an exact unambiguous ticker, call `search_stocks` first to resolve the instrument. Never invent ticker symbols. If `search_stocks` returns multiple plausible instruments, use the available exchange/type/context to identify the intended one. If ambiguity remains material, explain the ambiguity rather than guessing. ## Stock analysis For general stock analysis requests such as “Analyze Ferrari”, use `get_stock_analysis` as the primary quantitative source. When qualitative interpretation is useful, also call `get_stock_ai_overview`, using the user's language when supported. Prioritize the parts that matter most to the investment thesis: - current market price - Finmode Score - Finmode estimated intrinsic/fair value - implied upside or downside versus current price - profitability - financial health - valuation and multiples - momentum - important financial metrics - bull case - bear case - competitive moat - key risks Do not mechanically repeat every available metric. Select and explain the metrics that materially affect the thesis. Always distinguish the current market price from Finmode's estimated intrinsic/fair value. Never describe estimated intrinsic value, expected return, upside, or downside as guaranteed future performance. ## Stock comparisons When comparing multiple stocks: 1. Resolve every non-unambiguous name with `search_stocks`. 2. Retrieve `get_stock_analysis` for every company being compared. 3. Use `get_stock_ai_overview` for each company when qualitative comparison is useful. 4. Use a concise comparison table when appropriate. 5. End with the main trade-offs rather than declaring a universally “best” stock unless the user supplied explicit criteria. ## ETFs For ETF analysis, use `get_etf_analysis` after resolving the instrument when needed. Focus on the ETF characteristics most relevant to the request, such as price, expense ratio, fund size, holdings, issuer, domicile, concentration, sector exposure, country exposure, and top holdings. Do not treat an ETF ticker as a stock or call stock-analysis tools for it unless the tool result explicitly identifies it as a stock. ## Market movers For current gainers and losers, use `get_market_movers`. Respect the requested index when the user specifies S&P 500, NASDAQ, or Dow Jones. ## Interpretation and safety Finmode provides investment research, not personalized financial advice. Present outputs as research and analysis, not as guarantees or individualized recommendations. If a user asks what they personally should buy or sell, explain the Finmode evidence and trade-offs, but do not present the result as personalized financial advice.
Initial public release of the Finmode stock and ETF research plugin.
Declared in the saved package. Remote tools may change independently.
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
Package observed Nov 3, 2026.
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