Best AI Tools for Stock Research in 2026 (Ranked by What They Actually Do)

ROLE: You are a senior equity research analyst writing a stock research memo. Separate verified facts from inference, and flag anything you cannot confirm with a live, dated source.

INPUT:
- Ticker: [TICKER]
- Company name: [COMPANY NAME]
- Investment horizon: [HORIZON, e.g., 12 months]
- My thesis or question: [YOUR THESIS OR QUESTION]
- Documents I will attach or paste: [LIST, e.g., latest 10-K, latest 10-Q, last earnings transcript]
- Peer set: [PEER TICKERS]
- Analysis date: [DATE]

INSTRUCTIONS:
1. First, state which inputs you can access live (current price, consensus estimates, new filings). If you cannot retrieve one, say so and do not invent a number.
2. Pull revenue, operating margin, free cash flow, net debt and diluted share count from the attached filings only. Name the statement and page for each figure.
3. Check units ("in thousands" vs "in millions") before reporting any value. Show the calculation for every derived ratio.
4. Summarise management guidance and any change from the prior quarter.
5. Compare EV/EBITDA, P/E and FCF yield against the peer set. Use only peer data I supplied or sources you can cite with dates.
6. List three bull points and three bear points. Label each as Fact (with source) or Inference.
7. Name the three events that would break the thesis, and the metric to watch for each.
8. Give a 1–5 confidence score per section and state what would raise it.
9. End with every figure you could not verify.

FORMAT:
- Section 1: Data check table (metric | value | source | date | verified Y/N)
- Section 2: Thesis summary (maximum 150 words)
- Section 3: Bull vs bear table
- Section 4: Thesis-breakers and monitoring dashboard
- Section 5: Unverified items and questions for management
Keep the whole response under 900 words.

You are reviewing SEC filings for [TICKER]. Compare the risk factors section of the [CURRENT FILING TYPE, e.g., 10-K for FISCAL YEAR] with the prior year's version that I paste below: [PASTE PRIOR RISK FACTORS]. List every new, removed or materially reworded risk, quote the first few words of each changed passage, and rate each change as low, medium or high relevance to [YOUR THESIS]. Flag any change you cannot locate in the text I provided rather than guessing.

Read the earnings call transcript for [TICKER] for [QUARTER] that I paste here: [PASTE TRANSCRIPT]. Extract management's guidance for revenue, margins and capital spending, and note any wording that softened or hardened compared with [PRIOR QUARTER TRANSCRIPT, if provided]. Separate prepared remarks from analyst Q&A, and list three questions a skeptical PM would ask that management did not directly answer.

Build a comparable-company table for [TICKER] against [PEER TICKERS]. Use only the market data I paste here: [PASTE PRICES, SHARE COUNTS, EBITDA, NET DEBT, AS OF DATE]. Calculate EV/EBITDA, P/E, EV/Sales and FCF yield, show the formula for each, and mark the company's rank in each column. Note any peer whose figures are on a different fiscal year-end or accounting basis.

Translate my investment style into a stock screen for [UNIVERSE, e.g., US mid-cap industrials]. My criteria: [YOUR CRITERIA, e.g., revenue growth above X%, net debt to EBITDA below Y, FCF yield above Z%]. Output a step-by-step screen I can run in [SCREENER NAME], the exact field names to use, the threshold order to apply, and a list of common false positives (such as one-time gains) with a check to remove each.

Here is a claim an AI tool produced about [TICKER]: [PASTE CLAIM]. Identify every factual element in it (numbers, dates, names, events). For each, state whether it can be checked against [PRIMARY SOURCE I WILL PROVIDE, e.g., the 10-Q], give the exact location to check, and mark it Confirmed, Contradicted or Unverifiable. Do not assume the claim is correct because it sounds plausible.

Audit the numbers in this draft note on [TICKER]: [PASTE DRAFT]. Check each figure for unit labels (thousands, millions, billions), currency, fiscal-period mismatch, percentage vs percentage-point errors and arithmetic. Output a corrected table with original value, corrected value, reason for change, and the source line that supports the correction. If a figure needs the source document and I have not supplied it, mark it as unresolved.

Stress-test my investment thesis for [TICKER]: [PASTE THESIS]. Build the strongest bear case you can, using only facts from [SOURCES I PROVIDE]. Then identify the two assumptions that, if wrong by 20%, would most change the valuation. Suggest one specific observable data point for each assumption and the date it is likely to be reported. Keep speculation separate from evidence.

Create a catalyst calendar for [TICKER] over the next [TIME WINDOW, e.g., 6 months]. Include expected earnings dates, investor days, product events, regulatory decisions and debt maturities, using only the dated sources I paste here: [PASTE CALENDAR SOURCES]. For each entry, show the date, the source, the confidence level (confirmed or estimated), and what result would be positive or negative for [YOUR THESIS].

Scan the financial statements and notes for [TICKER] in [PASTED FILING EXCERPTS] for red flags. Check receivables growth against revenue growth, inventory build versus sales, changes in depreciation schedules, off-balance-sheet obligations, related-party transactions, auditor changes, and large non-GAAP adjustments. For each flag, cite the note or table, explain the potential innocent explanation, and state what additional document would resolve it.

Write a one-page update on [TICKER] for a PM who already holds the stock. Compare the latest data I paste here, [PASTE NEW DATA], with the thesis points in [PASTE ORIGINAL THESIS]. Show which points are confirmed, weakened or broken, list any new filing or event since [LAST REVIEW DATE], and recommend one of: hold, add, trim or review, with the single metric that would change that recommendation.