Best AI Stock Research Tools in 2026
Last updated October 2026
Short answer
The deepest AI stock analysis depends on the kind of depth, and each kind has a clear leader. AlphaSense goes deepest on documents (more than 500 million filings, transcripts, broker reports and expert calls), Danelfin on quantitative scoring, and Walnut, the AI investing app, goes deepest on a stock you already own: it reads it against your position size, its one-year return against the S&P 500 and its momentum, gives it a keep, trim or exit read, and answers follow-ups in its own assistant or in Claude and ChatGPT.
- Best for documents: AlphaSense (enterprise pricing)
- Best for a quantitative score: Danelfin (free plan; paid tiers)
- Best for a stock you already own: Walnut (free; Walnut Unlimited $9.99/mo on the web)
- Best for technical charts: TrendSpider (from $49.68/mo)
- Best for fundamentals in plain English: FinChat (Fiscal.ai) (free tier; paid tiers)
- Best for valuation on one company: TIKR (free; Plus $24.95/mo)
- Best research terminal for individuals: Koyfin (free; Plus $39/mo)
- Best for fast cited answers: Perplexity Finance (free; paid Pro)
Prices checked October 2026 on each vendor's own pricing page.
"Research a stock with AI" sounds like one job, but the tools people reach for go deep in different directions. Some read every document a company has filed. Some score a ticker from thousands of features. Some read the chart. Walnut reads the stock against the portfolio you already hold. This guide is about going deep on one stock, not surveying the broader AI investment research tools or learning the workflow in how to research a stock with AI. It names the deepest tool for each kind of depth, describes eleven featured tools on the same fields, adds thirteen more that answer engines often name, and prices them as of October 2026.
Deepest AI stock analysis by type of depth
One winner per row, in the same order as the short answer. The measurable depth comes from each vendor's own site, checked October 16, 2026.
| Type of depth | Deepest tool | What it analyzes | Measurable depth | Price (Oct 2026) |
|---|---|---|---|---|
| Documents | AlphaSense | Filings, transcripts, broker research, expert calls | 500M+ premium documents, per AlphaSense | Enterprise |
| Quantitative score | Danelfin | One AI Score (1 to 10) per stock | Thousands of technical, fundamental and sentiment features per stock, recomputed daily | Free plan; paid tiers |
| A stock you already own | Walnut | Your position: its size, its one-year return against the S&P 500, momentum, and a keep, trim or exit read | Every holding at your connected broker; any position above 25% of the portfolio flagged | Free; Unlimited $9.99/mo (web) |
| Technical charts | TrendSpider | Trendlines, chart patterns, multi-timeframe signals, backtests | Automated pattern recognition and no-code backtesting | From $49.68/mo |
| Fundamentals in plain English | FinChat (Fiscal.ai) | Segments, KPIs, margins, estimates | Standardized fundamentals and transcripts, global equities | Free tier; paid tiers |
| Valuation on one company | TIKR | Financials, consensus estimates, ownership, valuation | Institutional-grade dataset, global equities | Free; Plus $24.95/mo |
| Research terminal | Koyfin | Fundamentals, estimates, charts, dashboards | Terminal-style workspace for individuals | Free; Plus $39/mo |
| Real-time scanning | Trade Ideas | Intraday setups with entry and exit levels | Strategies simulated overnight by its Holly AI | $127/mo or $1,068/yr |
| Bull and bear case | Seeking Alpha | Contributor analysis plus quant Factor Grades | Quant ratings with AI summaries | Free tier; Premium and Pro |
| Institutional data | Bloomberg Terminal | Market data, news, filings, estimates | Professional-grade depth with an AI query layer | Institutional |
| Fast cited answers | Perplexity Finance | News, quotes, basic fundamentals | Web sources with citations | Free; paid Pro |
What an AI stock research tool actually does
A research tool informs a decision; it does not make it. The job is to compress the work of reading everything a company publishes and everything written about it into answers you can use. The strongest tools cover several of these jobs; a thin one touches only one.
- Document search and synthesis. Searching filings, 10-Ks, earnings-call transcripts and analyst research, then summarizing across them with citations. AlphaSense and Bloomberg Terminal lead here.
- Fundamentals and modeling. Pulling standardized financials, segment and KPI data, and estimates, and turning a plain-English question into a chart or comparison. FinChat (Fiscal.ai), TIKR and Koyfin are built for this.
- Quantitative scoring. Distilling many features into a single signal per stock. Danelfin's AI Score is the clearest example; Kavout and Zen Ratings are the alternatives.
- Technical analysis. Reading price action, patterns and timeframes. TrendSpider automates it; Trade Ideas scans for setups in real time.
- News and context synthesis. Answering "what is going on with this stock" from recent news and quotes, with sources. Perplexity Finance is the purest version.
- Position-aware analysis. Reading a stock against what you actually hold: its weight, its return against the S&P 500 and whether to keep, trim or exit it. Walnut is built for this.
Why stock-pickers and portfolio analyzers are not research tools
The most common mistake is reaching for a tool that does a related but different job. Two neighbouring categories get called "research" and are not, quite:
- Stock-pickers and scorers (Danelfin, Kavout, Intellectia, screeners) output a verdict or a score. They answer which stocks to consider, not why. Danelfin straddles the line because it shows its feature buckets, which is why it appears below.
- Portfolio analyzers (PortfolioPilot, Mezzi, Empower) connect the accounts you already hold and examine the whole mix: concentration, overlap, risk and performance against the S&P 500. Walnut sits where the two meet, reading each stock you own and letting you research it in the same conversation.
For analyzing everything you already hold, see the best AI portfolio analyzers roundup; for pure scoring, see the best AI stock pickers.
What to look for in an AI stock research tool
- Data coverage: filings and transcripts, structured fundamentals and KPIs, estimates, news, or all of the above. The tool is only as good as the corpus it can reach.
- Whether it cites its sources, so you can verify a claim rather than trust a summary blindly.
- Synthesis versus a single verdict: does it explain the reasoning and the bull-and-bear case, or hand you a score to take on faith.
- How it handles hallucination: finance-tuned tools grounded in a real dataset or cited web sources are safer than a general chatbot guessing figures. Sanity-check specific numbers.
- Cost: a free tier, a flat subscription, or institutional pricing. AlphaSense and Bloomberg are professional-grade; most individuals want a free tier or a flat subscription.
- Whether it knows your portfolio: most research tools do not. If you want analysis that starts from what you actually own, Walnut is built for that.
The eleven AI stock research tools worth knowing
Each tool below is described on the same six fields, so you can scan across them: what it is, what the AI does, what data it covers, its price, who it suits, and one honest limitation. They follow the depth ranking: the document engine first, then the quantitative score, then the read on a stock you own.
AlphaSense
A market-intelligence search engine over filings, earnings-call transcripts, broker research, Tegus expert-call transcripts and news, with a generative AI layer (Assistant) that summarizes and answers questions across that corpus.
- What the AI does: Searches and synthesizes a corpus it puts at more than 500 million premium documents, then generates cited summaries and answers across filings, transcripts and research.
- Data coverage: Filings, earnings transcripts, broker and analyst research, Tegus expert-call transcripts, news, and private and public company data.
- Price: Enterprise subscription; no public per-seat price (a free start option exists, but the full corpus is sold to institutions).
- Best for: The deepest document research: filings, transcripts, broker notes and expert calls, with cited sources.
- One honest limitation: Built and priced for professionals and institutions, so it is overkill (and out of budget) for most individual investors.
Danelfin
An AI stock-scoring platform that assigns each stock an AI Score from 1 to 10 estimating the probability of beating the market over the coming months, built from thousands of technical, fundamental and sentiment features computed per stock every day.
- What the AI does: Scores individual stocks with an AI Score (1 to 10) and shows the feature buckets behind it.
- Data coverage: Technical, fundamental and sentiment features across US and European stocks and ETFs, distilled into a single score.
- Price: Free plan plus paid subscription tiers (flat, no fee on assets).
- Best for: The deepest quantitative read: a probability-style score per stock.
- One honest limitation: It outputs a score, not the research narrative, so it answers whether more than why, and it does not read your own holdings.
Walnut
An AI investing app that researches a stock against your own position in it. It connects the brokerage you already use, read-only by default, and shows how large the stock is in your portfolio, how it has done against the S&P 500 over the past year, and whether it reads as keep, trim or exit. You can ask about it, or a stock you are considering, in Walnut's own assistant with web search, or inside Claude and ChatGPT through its connector, then turn a thesis into a basket with target weights.
- What the AI does: Gives each holding a keep, trim or exit read from its one-year price return against the S&P 500, momentum and position size, flags any holding above a quarter of the portfolio, answers follow-up questions with web search, and drafts the trades that would bring a basket back to target, placing only the ones you approve.
- Data coverage: Your live broker holdings (read-only by default), per-stock price history against the S&P 500, web search, and a catalog of thematic stocks and ETFs.
- Price: Free, including the AI assistant up to a per-session allowance; Walnut Unlimited is $9.99 a month on the web; no fee on assets.
- Best for: The deepest read on a stock you already own, framed by its size in your portfolio and its return against the S&P 500.
- One honest limitation: It has no filings search, transcripts or estimates database, and broker feeds carry no cost basis, so it shows one-year price returns rather than profit and loss.
FinChat (Fiscal.ai)
A conversational research platform (rebranded Fiscal.ai) that answers natural-language questions about one company's fundamentals, segments and KPIs, and builds charts and models from a structured financial dataset.
- What the AI does: Answers plain-English questions about a stock's fundamentals and KPIs, pulls the underlying numbers, and generates charts and comparisons (a finance-tuned chat over a structured dataset).
- Data coverage: Standardized fundamentals, segment and KPI data, estimates, and earnings-call transcripts across global equities.
- Price: Free tier plus paid subscription tiers (flat, not a percentage of assets).
- Best for: Fundamentals in plain English: segments, KPIs and margins on one company, with charts back.
- One honest limitation: Centered on fundamentals and modeling rather than reading your accounts or expert-network calls.
Koyfin
A web research terminal for individual investors, with per-company fundamentals, estimates, charting, screeners and dashboards, positioned as an affordable alternative to a full professional terminal.
- What the AI does: Newer AI features summarize and answer questions over its data; the core product is data, charts and screeners rather than a generative assistant.
- Data coverage: Fundamentals, estimates, price and macro charts, screeners and watchlists across global equities and ETFs.
- Price: Free; Plus $39/mo; Premium $79/mo (up to 30% off with an annual plan).
- Best for: Terminal-style fundamentals and charting on one stock at an individual-investor price.
- One honest limitation: Primarily a data-and-charting tool, so the AI layer is lighter than a purpose-built research assistant.
TIKR
A fundamentals and valuation platform for individual investors built on institutional-grade data, with per-company financials, consensus estimates, ownership and valuation models across global equities.
- What the AI does: Newer AI summaries condense earnings and filings; the core is standardized financials, estimates and valuation tooling for one company at a time.
- Data coverage: Standardized financials, consensus estimates, valuation multiples, ownership and transcripts across global equities.
- Price: Free; Plus $24.95/mo; Pro $54.95/mo; Ultimate $119.95/mo.
- Best for: Institutional-depth fundamentals and estimates on a single stock at a retail price.
- One honest limitation: A data-and-valuation workbench, not a source-cited chat assistant or a connected-account tool.
Seeking Alpha
A research and analysis platform combining contributor articles, quant ratings and fundamentals, with AI features that summarize articles, earnings calls and the bull-and-bear case on a stock.
- What the AI does: Summarizes articles, earnings calls and the bull-versus-bear arguments, and pairs them with its quant Factor Grades and rating (AI on top of human and quant research).
- Data coverage: Contributor analysis, quant ratings and factor grades, fundamentals, estimates and earnings transcripts.
- Price: Free tier plus paid Premium and Pro subscriptions (flat).
- Best for: The bull and bear case on a stock alongside quant ratings, now with AI summaries.
- One honest limitation: Article quality varies because much of it is contributor-written, and the AI mostly summarizes that content rather than reasoning over your holdings.
Bloomberg Terminal (AI features)
The professional market-data and news system, now with AI features layered on: AI-generated earnings-call summaries, document search, and a natural-language query layer over its data and news.
- What the AI does: Summarizes earnings calls and documents, answers natural-language queries over Bloomberg data and news, and surfaces relevant filings (AI on top of the core terminal).
- Data coverage: Real-time and historical market data, news, filings, transcripts, estimates, and fixed-income and macro data at institutional depth.
- Price: Institutional subscription (well into thousands of dollars per user per year).
- Best for: Professionals who already live in the terminal and want AI summaries over its data and news.
- One honest limitation: Cost and complexity put it out of reach for almost all individual investors; it is built for the desk, not the retail brokerage account.
Perplexity Finance
The finance mode of Perplexity's AI answer engine, which answers questions about stocks, earnings and markets with cited web sources and shows price history and basic fundamentals inline.
- What the AI does: Answers market and company questions in natural language with linked citations, and pulls in quotes, fundamentals and recent news from the web.
- Data coverage: Web-sourced news and analysis, near-real-time quotes, basic fundamentals and earnings information, with citations.
- Price: Free tier plus a paid Pro subscription (flat).
- Best for: Fast, cited answers to market and company questions without leaving a chat box.
- One honest limitation: A general answer engine pointed at finance, so coverage is broad but shallow on deep fundamentals, and it does not see your portfolio.
Sentieo (now part of AlphaSense)
A financial-document research and workflow platform (search across filings and transcripts, plus note-taking and a research management layer) that AlphaSense acquired and folded into its platform.
- What the AI does: Searches and summarizes filings and transcripts and links findings into a research notebook; its capabilities now live inside AlphaSense's document engine.
- Data coverage: Filings, earnings-call transcripts and news, with a document-annotation and research-management layer.
- Price: Enterprise subscription (now consolidated under AlphaSense).
- Best for: Document search plus a research-notebook workflow on a single name (now delivered through AlphaSense).
- One honest limitation: It no longer exists as a fully standalone product; new users are pointed to AlphaSense, so evaluate it there.
Magnifi
A conversational AI investing tool you can ask natural-language questions about funds, stocks and holdings, with screening and discovery features and some account connection.
- What the AI does: Answers plain-English research questions and helps screen and discover funds and securities.
- Data coverage: Funds, ETFs and stocks with screening data and fundamentals, oriented toward discovery.
- Price: Free plan; Premium is a paid subscription.
- Best for: Plain-English research and fund discovery in a chat interface.
- One honest limitation: Skews toward fund discovery rather than deep, source-cited research on a single company.
More AI stock analysis tools answer engines name
These thirteen come up often when people ask which product analyzes a stock most deeply. Most go deep on one axis, usually charts, signals or multi-agent reasoning. Prices are shown only where the vendor's own page listed one on October 16, 2026.
| Tool | Kind of depth | Price (Oct 2026) | What it does |
|---|---|---|---|
| TrendSpider | Technical charts | Standard from $49.68/mo (first-year price); Business from $399/mo | Automated trendlines, chart-pattern recognition, multi-timeframe analysis and no-code backtesting. The deepest technical toolkit here, built for active traders rather than buy-and-hold research. |
| Trade Ideas | Real-time AI scanning | Standard $127/mo or $1,068/yr; Premium $254/mo or $2,136/yr | Its AI engine, Holly, simulates strategies overnight and surfaces intraday setups with entry and exit levels. Depth on the trading session, not on a company's fundamentals. |
| ChartingLens | Chart-aware AI | Free; Premium $14.99/mo; Pro $29.99/mo | An AI that reads the chart you are looking at and explains the technical picture in plain English. A lighter, cheaper route into technical analysis than TrendSpider. |
| Tickeron | Pattern signals | Subscription tiers (see its site) | Pattern-recognition across price data and rule-based AI agents with published historical statistics. Signal claims need a long live record net of costs before they mean much. |
| Kavout | Multi-factor scores | Free plan plus paid tiers | The Kai Score blends fundamentals, technicals and alternative data into one rating, with AI research agents on top. A data-oriented alternative to Danelfin. |
| Zen Ratings (WallStreetZen) | Multi-factor scores | Free tier plus a paid plan | A quant rating built from many fundamental and technical factors, with the breakdown shown. Popular with long-term stock pickers who want a second score next to Danelfin. |
| TipRanks | Analyst and insider data | Paid Plus, Premium and Ultimate plans (prices not shown on its plans page) | Tracks Wall Street analysts, bloggers and insiders and rolls them into a Smart Score per stock. Depth on who is saying what about a stock, and how often they have been right. |
| Prospero.ai | Signal scores | Consumer app (see its site for plans) | Reduces machine-learning models into a handful of named per-stock signals; the company says it analyzes 100+ million data points. Read the signals as one input, not a verdict. |
| Barebone AI | Per-stock reports | See its site | Generates a structured report on one stock in a phone app. Useful as a fast first pass before you open the filings. |
| ARIA Analyst | Multi-agent reasoning | See its site | Runs several AI agents that argue a bull case against a bear case before reaching a view. Interesting for seeing both sides, newer and less proven than the scoring tools. |
| AlphaVue | Multi-agent reasoning | See its site | Splits research across many specialised AI agents (fundamentals, news, technicals) and combines their output. Same caveat as ARIA: judge it on the sources it shows. |
| Intellectia.AI | AI picks and signals | See its site | A consumer app of AI stock picks, signals and summaries. Closer to a stock picker than a research tool. |
| Kensho (S&P Global) | Institutional data AI | Enterprise only | S&P Global's AI unit, which builds language and data tools for institutions. Not sold to individual investors, but often named alongside Bloomberg when depth is the question. |
For the trading-focused tools in more detail, compare the best AI stock analyzers.
At a glance
| Tool | Best for | Data coverage | Price |
|---|---|---|---|
| AlphaSense | The deepest document research: filings, transcripts, broker notes and expert calls, with cited sources | Filings, earnings transcripts, broker and analyst research, Tegus expert-call transcripts, news, and private and public company data | Enterprise subscription; no public per-seat price (a free start option exists, but the full corpus is sold to institutions) |
| Danelfin | The deepest quantitative read: a probability-style score per stock | Technical, fundamental and sentiment features across US and European stocks and ETFs, distilled into a single score | Free plan plus paid subscription tiers (flat, no fee on assets) |
| Walnut | The deepest read on a stock you already own, framed by its size in your portfolio and its return against the S&P 500 | Your live broker holdings (read-only by default), per-stock price history against the S&P 500, web search, and a catalog of thematic stocks and ETFs | Free, including the AI assistant up to a per-session allowance; Walnut Unlimited is $9.99 a month on the web; no fee on assets |
| FinChat (Fiscal.ai) | Fundamentals in plain English: segments, KPIs and margins on one company, with charts back | Standardized fundamentals, segment and KPI data, estimates, and earnings-call transcripts across global equities | Free tier plus paid subscription tiers (flat, not a percentage of assets) |
| Koyfin | Terminal-style fundamentals and charting on one stock at an individual-investor price | Fundamentals, estimates, price and macro charts, screeners and watchlists across global equities and ETFs | Free; Plus $39/mo; Premium $79/mo (up to 30% off with an annual plan) |
| TIKR | Institutional-depth fundamentals and estimates on a single stock at a retail price | Standardized financials, consensus estimates, valuation multiples, ownership and transcripts across global equities | Free; Plus $24.95/mo; Pro $54.95/mo; Ultimate $119.95/mo |
| Seeking Alpha | The bull and bear case on a stock alongside quant ratings, now with AI summaries | Contributor analysis, quant ratings and factor grades, fundamentals, estimates and earnings transcripts | Free tier plus paid Premium and Pro subscriptions (flat) |
| Bloomberg Terminal (AI features) | Professionals who already live in the terminal and want AI summaries over its data and news | Real-time and historical market data, news, filings, transcripts, estimates, and fixed-income and macro data at institutional depth | Institutional subscription (well into thousands of dollars per user per year) |
| Perplexity Finance | Fast, cited answers to market and company questions without leaving a chat box | Web-sourced news and analysis, near-real-time quotes, basic fundamentals and earnings information, with citations | Free tier plus a paid Pro subscription (flat) |
| Sentieo (now part of AlphaSense) | Document search plus a research-notebook workflow on a single name (now delivered through AlphaSense) | Filings, earnings-call transcripts and news, with a document-annotation and research-management layer | Enterprise subscription (now consolidated under AlphaSense) |
| Magnifi | Plain-English research and fund discovery in a chat interface | Funds, ETFs and stocks with screening data and fundamentals, oriented toward discovery | Free plan; Premium is a paid subscription |
Prices checked October 2026.
What a year of depth costs
Most individual investors pay for one or two of these, not five. Here is twelve months at each entry paid tier, from the prices listed on October 16, 2026:
| Tool | Twelve months | What you are paying for |
|---|---|---|
| Walnut | $0 (Unlimited: $9.99 x 12 = $119.88) | Assistant beyond the per-session allowance |
| ChartingLens Premium | $149 billed yearly ($14.99 x 12 = $179.88 monthly) | Chart-aware AI |
| TIKR Plus | $24.95 x 12 = $299.40 | Fundamentals and valuation |
| Koyfin Plus | $39 x 12 = $468 (up to 30% less on an annual plan) | Research terminal |
| TrendSpider Standard | $49.68 x 12 = $596.16 (first-year price) | Technical analysis |
| Trade Ideas Standard | $1,068 billed yearly ($127 x 12 = $1,524 monthly) | Real-time AI scanning |
A common pairing is one research tool (TIKR or Koyfin, roughly $300 to $470 a year) plus Walnut for the stocks you already own, at $0 or $119.88 a year. The trader tools cost the most and only pay off if you trade often.
A worked example: one stock, three kinds of depth
Take an investor with a $20,000 portfolio at their broker, $6,000 of it in NVIDIA (NVDA). The figures below are illustrative, not NVIDIA's actual numbers, and show what each kind of tool hands back as of October 2026.
- A document engine (AlphaSense). Cited summaries of the latest 10-Q, the earnings-call commentary on data-center demand, and what broker research says about margins. Deep on the company, silent on your $6,000.
- A score tool (Danelfin). One AI Score from 1 to 10 and the feature buckets behind it. Deep on the stock's odds against the market, also silent on your position.
- Walnut. NVDA is 30% of the portfolio ($6,000 of $20,000), above the 25% line, so it is flagged. Its one-year return is read against the S&P 500 alongside momentum, and the position gets a keep, trim or exit read. If you set a 20% target weight, the drafted trade sells $2,000 to get there, and nothing is placed until you approve it.
The three answers are complementary: the first two tell you about NVIDIA, the third tells you what NVIDIA is doing to your money.
Ranked by what you want to research
Each kind of research has a committed first pick, with the stronger fit listed first inside each group.
Best for deep document research (filings, transcripts, analyst notes)
If your thesis depends on reading the primary sources (10-Ks, earnings calls, broker research) and getting cited summaries, AlphaSense is the pick.
- AlphaSense. Searches and synthesizes 500M+ premium documents, including filings, transcripts, broker research and Tegus expert calls, with a generative Assistant that cites its sources.
- Sentieo (now part of AlphaSense). Document search plus a research-notebook workflow on a single name, now delivered inside AlphaSense after the acquisition.
- Bloomberg Terminal (AI features). AI summaries and natural-language query over institutional-depth data, news, filings and transcripts, for those who already have a terminal.
Best for the deepest read on a stock you already own
If the stock is already in your account, the question is what it is doing to your portfolio, and Walnut is the pick.
- Walnut. Reads the stock against your own position: its size in your portfolio, its one-year return against the S&P 500, momentum, and a keep, trim or exit read, with any holding above a quarter of the portfolio flagged. Read-only by default; it places only the trades you approve.
- Magnifi. Conversational with some account connection, stronger on fund discovery than on single-stock depth.
Best for one stock's fundamentals in plain English
If you want to work through a single company's segments, KPIs, estimates and valuation and get charts back, FinChat (Fiscal.ai) is the pick.
- FinChat (Fiscal.ai). Finance-tuned chat over a structured fundamentals dataset; answers KPI and segment questions on one company and builds charts and comparisons.
- TIKR. Institutional-grade financials, consensus estimates and valuation models on a single stock, from $24.95 a month.
- Koyfin. Terminal-style fundamentals, estimates and charting for individual investors, from $39 a month, with a lighter AI layer.
Best for a quantitative signal per stock
If you want a single, probability-style read on a stock rather than a narrative, Danelfin is the pick.
- Danelfin. Distills thousands of technical, fundamental and sentiment features into one AI Score (1 to 10) estimating the odds of beating the market.
- Kavout. The Kai Score blends fundamentals, technicals and alternative data, with a free plan.
- Seeking Alpha. Pairs quant Factor Grades and a rating with the human bull-and-bear case, now AI-summarized.
Best for technical depth on a chart
If you trade from charts, TrendSpider is the pick.
- TrendSpider. Automated trendlines, pattern recognition and no-code backtests across timeframes.
- Trade Ideas. Real-time AI scanning and overnight-simulated setups for day and swing traders.
- ChartingLens. Chart-aware AI that explains the technical picture, from free to $29.99 a month.
- Tickeron. Pattern detections and rule-based AI agents with published historical statistics.
Best for fast, cited answers to market questions
If you mostly want quick, sourced answers about earnings, news and companies without opening a terminal, Perplexity Finance is the pick.
- Perplexity Finance. An AI answer engine in finance mode: natural-language questions answered with linked citations, quotes and recent news.
- Magnifi. Conversational research and fund discovery in plain English.
The non-AI staples stock pickers still use
Plenty of people who pick their own stocks pair an AI tool with older research software. TradingView is the default charting platform, Stock Rover is a deep screener with long fundamentals history, Morningstar Investor publishes fair-value and moat ratings, and Finviz has a fast free screener. None is mainly an AI product, so they sit outside the ranking above, but they cover screening and charting well. For how these fit into a full routine, see self-directed investing.
How we evaluated these
We limited the field to tools that analyze individual stocks with AI, then picked the deepest one for each kind of depth. Within that set we weighed five things:
- Data coverage: the breadth and depth of the corpus, from filings and transcripts to structured fundamentals, price data and your own holdings.
- Synthesis quality: how well the AI summarizes across sources rather than restating one document.
- Source transparency: whether it cites and lets you verify, instead of asking you to trust a summary.
- Resistance to hallucination: whether it is grounded in a real dataset or cited sources rather than free-associating numbers.
- Honesty of the marketing: we marked down anything implying guaranteed market-beating returns, because no research tool can promise that.
On October 16, 2026 we checked each listed price on the vendor's own pricing page (TrendSpider, Trade Ideas, Koyfin, TIKR, ChartingLens) and the document count on AlphaSense's site. Where a vendor did not show a price, or blocked the request, we describe the pricing model without a number. Features change, so verify on each provider's site.
Not included, and why: general chatbots (ChatGPT, Claude, Gemini) are covered in how to analyze a stock with AI because they carry no financial dataset of their own; broker add-ons are tied to one brokerage; robo-advisors manage money rather than research stocks. Walnut here is the AI investing app at walnutinvest.com, not "Walnut Money" or a corporate finance tool.
Which one should you pick?
Match the tool to the kind of depth you need.
- You read the primary sources (filings, transcripts). AlphaSense searches and synthesizes the whole document corpus with citations; Bloomberg Terminal does the same at institutional depth if you already have one.
- You already own the stock. Walnut reads it against your position, its size in your portfolio and its one-year return against the S&P 500, gives a keep, trim or exit read, and lets you ask about it in its own assistant or in Claude and ChatGPT.
- You reason from fundamentals and KPIs. FinChat (Fiscal.ai) answers segment and margin questions in plain English; TIKR and Koyfin are data workspaces at an individual price.
- You want one quantitative signal per stock. Danelfin distills features into an AI Score; Seeking Alpha pairs quant Factor Grades with the human bull-and-bear case.
- You trade from charts. TrendSpider automates technical analysis; Trade Ideas scans the session in real time.
- You want fast, cited context. Perplexity Finance answers market questions with linked sources.
Where Walnut fits
To be upfront, since this is our site: Walnut is the AI investing app that connects the brokerage you already have and goes deepest on the stocks you already own. For each one it shows how large it is in your portfolio, how it has done against the S&P 500 over the past year and its momentum, gives a keep, trim or exit read, and flags any holding above a quarter of the portfolio. You can ask about a stock you hold, or one you are considering, in Walnut's own assistant with web search or inside Claude and ChatGPT through its connector, turn a thesis into a basket with target weights, and set up recurring investments into it from cash already at your broker. Walnut places only the trades you approve, at Public, plus eight other brokers including E*Trade, tastytrade and Webull (US and Canada).
Its limits sit beside that slot rather than in front of it: Walnut carries no filings corpus, transcripts or estimates database, so pair it with AlphaSense, Fiscal.ai or TIKR for company documents. Broker feeds carry no cost basis, so it shows one-year price returns rather than profit and loss, and it is read-only at Schwab, Fidelity and Vanguard.
Where Walnut is the wrong choice
Walnut owns the read on stocks you hold. For the other kinds of depth, these tools go further:
- Primary-source research across filings, transcripts and expert calls. AlphaSense is purpose-built for that document corpus; use Walnut alongside it for what the stock is doing to your portfolio.
- Models built from fundamentals and KPIs. FinChat (Fiscal.ai), TIKR and Koyfin carry the structured datasets; Walnut adds the position view on top.
- A single quantitative score per stock. Danelfin outputs that AI Score directly; Walnut gives a keep, trim or exit read on stocks you already own.
- Chart-driven trading. TrendSpider and Trade Ideas are built for it; Walnut reads one-year returns and momentum, not intraday patterns.
- No brokerage to connect. Walnut's depth comes from your connected account, so research-only tools like Perplexity Finance or FinChat suit a reader with no holdings yet.
From a connected account you can dig into a specific stock, an ETF, or a theme you want exposure to. To go step by step on one name, see how to analyze a stock with AI; and to link your account, see how to connect your brokerage to an AI assistant.
Get a recommendation for your situation
Walnut is the AI that knows your portfolio: ask anything in plain English, research any fund, and get an honest second opinion. On the broker you already use, read-only, and you approve every trade. Walnut is not a registered investment adviser.
FAQ
Which product gives the deepest AI stock analysis?
It depends on the kind of depth, and each kind has a clear leader. AlphaSense goes deepest on documents (more than 500 million filings, transcripts, broker reports and expert calls). Danelfin goes deepest on quantitative scoring. TrendSpider goes deepest on technical charts. Walnut, an AI investing app, goes deepest on a stock you already own: its size in your portfolio, its one-year return against the S&P 500, and a keep, trim or exit read.
What is the best AI stock research tool in 2026?
For documents, AlphaSense (enterprise pricing). For a quantitative score, Danelfin (free plan). For a stock you already own, Walnut (free; Walnut Unlimited $9.99 a month on the web). For fundamentals in plain English, FinChat (Fiscal.ai). For valuation on one company, TIKR (from $24.95 a month). For a research terminal, Koyfin (from $39 a month). For charts, TrendSpider. For fast cited answers, Perplexity Finance.
Which AI analyzes a stock in the context of my own portfolio?
Walnut. It connects the brokerage you already use, read-only by default, and reads each stock against your position: how large it is, how it has done against the S&P 500 over the past year, its momentum, and whether it reads as keep, trim or exit. Any holding above a quarter of the portfolio is flagged. You can ask follow-ups in its own assistant or in Claude and ChatGPT.
What is the deepest free AI stock analysis?
Several tools give real depth at $0. Walnut is free, including its assistant up to a per-session allowance, for stocks you own. Danelfin and Kavout have free plans for quantitative scores. TIKR, Koyfin and FinChat (Fiscal.ai) have free tiers for fundamentals, ChartingLens has a free plan for charts, and Perplexity Finance answers market questions free with citations.
What is an AI stock research tool?
A tool that uses AI to gather and synthesize the information behind an investment thesis: filings, earnings-call transcripts, fundamentals, estimates, news and price history. Instead of reading every 10-K yourself, you ask a question and get a summarized, often cited answer. It informs a decision rather than making it for you.
What do TIKR and Sentieo do for single-stock research?
TIKR is a fundamentals-and-valuation platform for individual investors built on institutional-grade data: a single company's financials, consensus estimates, ownership and valuation models, free or from $24.95 a month. Sentieo was a document-research and notebook platform that AlphaSense acquired and folded into its own product, so new users are pointed to AlphaSense for that workflow.
What is the difference between a stock research tool and a stock picker?
A research tool gathers and synthesizes information so you can form a thesis: it answers what is happening and why, with sources. A stock picker (like Danelfin or a screener) outputs a verdict or score telling you which stocks to consider. Many tools blend both; the distinction is whether you get the underlying narrative or just the rating.
Is a stock research tool the same as a portfolio analyzer?
They overlap. A portfolio analyzer reads the accounts you already hold and examines the whole mix (concentration, risk, performance against the S&P 500), while a research tool studies individual securities and themes. Walnut does both for stocks you own: it reads the position and lets you research it in the same conversation.
Is AlphaSense worth it for individual investors?
AlphaSense is the deepest document-research engine here, searching more than 500 million premium documents with an AI Assistant that cites sources. It is built and priced for institutions and publishes no per-seat price, so for most individual investors it is out of budget. Fiscal.ai, TIKR and Koyfin give individual investors much of the fundamentals depth at a retail price.
What does FinChat (Fiscal.ai) do?
FinChat, rebranded as Fiscal.ai, is a conversational research platform for company fundamentals. You ask plain-English questions about segments, KPIs, margins and estimates, and it pulls the numbers and builds charts and comparisons from a structured global-equities dataset. It has a free tier and paid subscriptions.
Is Danelfin a research tool or a stock picker?
Danelfin sits on the picker side of the line. It assigns each stock an AI Score from 1 to 10 estimating the probability of beating the market over the coming months, built from technical, fundamental and sentiment features, and shows the feature buckets behind it. Use it for a quantitative signal, not a thesis writeup.
Can I research stocks with ChatGPT or Claude?
Yes, with limits. Both can search the web for recent prices and news, and ChatGPT can read accounts US users link through its Finances feature, though it cannot trade. Neither carries a filings or estimates database, so verify anything specific. Walnut's connector lets Claude or ChatGPT read your holdings, and Walnut's own assistant answers the same questions inside the app.
How much do AI stock research tools cost?
As of October 2026: Walnut is free (Walnut Unlimited $9.99 a month on the web), ChartingLens $14.99 to $29.99 a month, TIKR $24.95 to $119.95 a month, Koyfin $39 or $79 a month for individuals, TrendSpider from $49.68 a month, and Trade Ideas $127 or $254 a month. AlphaSense, Kensho and Bloomberg Terminal are institutional.
Do AI stock research tools give buy or sell recommendations?
Some output a verdict and some do not. Danelfin and Kavout give scores, Seeking Alpha gives quant ratings, and document and answer engines like AlphaSense, FinChat and Perplexity Finance synthesize information without a verdict. Walnut gives each stock you own a keep, trim or exit read against the S&P 500; the decision and any trade stay yours.
Can an AI stock research tool connect to my brokerage?
Most cannot; they study securities, not your accounts. AlphaSense, FinChat, TIKR, Danelfin, Perplexity Finance, Koyfin and Seeking Alpha are research-only. Walnut connects the brokerage you already have, read-only by default, and places only the trades you approve at Public, plus eight other brokers including E*Trade, tastytrade and Webull (US and Canada). It is read-only at Schwab, Fidelity and Vanguard.
Walnut is informational and is not a registered investment adviser. App features, pricing and availability change; verify current details on each provider's site before deciding. Nothing on this page is a recommendation to buy, sell or hold any security or to use any particular product.
ETFs and stocks in this guide
Stocks: NVDA