Best AI investing apps in 2026

There is no single best AI investing app, because the apps do different jobs. The most useful way to cut through the list is to ask whether the app can see the portfolio you already own. That one question splits the field:

• Apps that read your real holdings. PortfolioPilot and Walnut connect a brokerage you already have (usually through a secure aggregator) and reason about your actual positions: your concentration, your overlap, your performance against the S&P 500. Magnifi links accounts alongside its conversational research.
• Apps that replace your portfolio. Wealthfront, Betterment, SoFi, and Acorns are robo-advisors: they hold your money and manage a diversified portfolio for you. They do not analyze what you already own; they pick and run a portfolio in their place.
• Apps that score, research or trade, not manage. Danelfin, Kavout, Prospero, and Trade Ideas score stocks or surface signals; Public and eToro are self-directed brokers with AI research or copy trading built in; Composer automates strategies you design. Useful for ideas and trades, but none of them analyzes the whole portfolio you already hold.

So the “best” app is the one whose job matches yours. If you want to talk to what you already hold, you want a connected, conversational app. If you want to be hands-off, you want a robo-advisor. If you want stock ideas, you want a scorer or a research-first broker.

Marketing for these apps tends to blur together, so it helps to judge them on a few concrete things rather than on the word “AI.”

• Can it see your real holdings? The single biggest differentiator. An app that reads your actual portfolio can answer about your concentration, overlap, and benchmark-relative performance. One that cannot only talks about generic examples. Claude on its own falls in the second group. ChatGPT can read US accounts linked through its Finances feature, but it cannot trade or work toward target weights.
• Does it explain its reasoning? A good app shows why it says something, rather than handing you a score or a verdict to trust blindly. This matters most for anything that suggests a change.
• Read-only or trade-enabled? Whether the app can ever place an order without your explicit approval. Most analysis apps are read-only; some, like Walnut, can place trades but only with your approval.
• How is performance computed? Time-weighted, money-weighted, or a simple window return, and whether cost basis is included. Many broker feeds do not pass cost basis, so some apps frame results as window returns rather than realized profit and loss.
• What does it cost? A free tier, a flat subscription, or a percentage of assets. A percentage-of-assets fee is small in any one year but compounds over decades.
• How does it handle your data? The safer apps never store your broker login and default to read-only access through a secure aggregator.

The word “AI” covers at least three different machines under the hood, and knowing which one an app runs tells you more than its marketing does.

• Rules-and-automation (most robo-advisors). Wealthfront, Betterment, and SoFi's automated investing are largely deterministic: they map your risk answers to a model portfolio of index funds, then rebalance and tax-loss-harvest on fixed rules. Little of this is machine learning; it is disciplined automation, which is the actual value.
• Scoring models (stock scorers). Danelfin and similar tools train machine-learning models on fundamentals, technicals, and sentiment to output a probability that a given stock beats the market over a horizon. The model rates each ticker in isolation; it does not look at how your holdings fit together.
• Portfolio reasoning (connected analyzers). PortfolioPilot and Walnut read your real positions and reason about the whole: how concentrated you are, where funds overlap (by looking through each fund to its underlying holdings), and how each holding has done against the S&P 500. Because many broker feeds do not pass cost basis, returns are often framed as window returns rather than realized profit and loss.
• A language model on top (conversational apps). The chat layer in Magnifi, Public's AI, and Walnut is a large language model that turns your plain-English question into an answer. What decides whether the answer is about you or about a generic example is simple: whether the app fed your real holdings into the model in the first place.

No AI investing app can promise to beat the market, and you should be skeptical of any that implies it. According to S&P Dow Jones Indices' SPIVA scorecard, which tracks active funds against their benchmarks, the large majority of actively managed US large-cap funds have underperformed the S&P 500 over the long run (roughly 90% over 15-year windows in SPIVA's reports). That is professional managers. The honest case for an AI investing app is better research, more speed, and more discipline, not guaranteed returns, which is also why measuring your own portfolio against the S&P 500 honestly is one of the most valuable things an app can do. (Source: S&P Dow Jones Indices, SPIVA US Scorecard; verify the latest figures on their site.)

Each app below is described on the same fields, so you can scan across them: what it is, what the AI does, whether it can see your real holdings, its price, who it suits, where it is strong, and one honest limitation. Prices checked on each provider's site in October 2026; they change, so verify before you sign up.

The order below is by breadth of usefulness for someone who already invests: the apps that can see and work with the portfolio you own rank above the ones that replace it or rate single stocks. It is not a claim that the top app is right for everyone. The right app for you is the one whose job matches yours, so read the “best for” column rather than just the rank.

Prices checked on each provider's site in October 2026; they change, so verify before you sign up.

1. Walnut. The best AI investing app for people who already have a brokerage account. It connects the broker you use, reads your actual holdings, and lets you analyze and manage them by chatting through its built-in assistant, Claude, or ChatGPT, with each holding framed against the S&P 500. Free tier, read-only by default, and every trade needs your approval.
2. Magnifi. The most well-rounded conversational assistant for research: you can ask natural-language questions about funds and stocks, and it links accounts to track them. Strong pick if you mainly want to ask and discover.
3. PortfolioPilot. Connects the accounts you already have and returns a structured AI critique with a risk score and suggested changes. The strongest pick for a one-shot second opinion report.
4. Wealthfront. The pick if you want hands-off rather than conversational: an automated, indexed, managed portfolio with planning built in, for 0.25% of assets a year.
5. Betterment. The other leading hands-off robo-advisor, with goal planning and tax features and newer AI assistant features layered on. Best when you want it fully automated.
6. SoFi. Hands-off automated investing inside an all-in-one money app, with an AI coach for general questions. Best for people already in the SoFi ecosystem.
7. Danelfin. The pick if you want an AI signal on individual stocks rather than help with a whole portfolio: it scores each stock 1-10 on its odds of beating the market.
8. Public. A self-directed brokerage with built-in AI research and AI agents for people who want to trade and research in one app.
9. Composer. Describe a strategy in plain language, backtest it, and let it run automatically. The pick for rules-based investors, with a free Starter plan.
10. Trade Ideas. Real-time AI scanning and trade signals for active traders. Powerful, and priced for people who trade during the session.
11. Kavout. AI research agents, stock pickers and signals across US and global markets, on a free plan or a low monthly subscription.
12. Prospero.ai. Free daily AI stock signals on mobile. Useful as one research input; it does not look at what you own.
13. eToro. Social and copy trading in a broker available in 75 countries. The pick if you want to follow other investors, especially outside the US.
14. Acorns. Round-ups that invest spare change into a managed portfolio. The pick for someone who has not started yet, at a flat monthly fee.

As of October 2026, prices on this list run from $0 to $254 a month. Walnut, Magnifi, PortfolioPilot, Danelfin, Kavout, and Composer all have free plans, and Prospero is a free app. Entry paid tiers sit between $10 and $29 a month, Magnifi Premium is $99 a year, and Trade Ideas, built for active traders, costs $127 to $254 a month. Robo-advisors charge 0.25% of assets a year instead, which is $250 on a $100,000 balance and grows with it.

No. A robo-advisor (Wealthfront, Betterment, SoFi, Acorns) holds your money and runs a model portfolio on fixed rules, and most of it is automation rather than machine learning. “AI investing app” is the wider group: stock scorers like Danelfin, strategy builders like Composer, and connected apps like Walnut and PortfolioPilot that analyze an account you keep at your own broker. Robo-advisors are one category inside it.

“AI-washing” is overstating what the AI in a product does. FINRA and the SEC have warned investors about AI-related investment fraud, and the same warning signs help with legitimate apps. Be wary of guaranteed or unusually high returns, backtested or hand-picked winning trades shown as if they were a live record, and vague claims that never say what the model reads or outputs. A credible app explains what data it uses, what it cannot do, and whether it can trade without your approval.

Some on this list are US-only. Betterment says it cannot accept customers living outside the US, and ChatGPT's Finances feature is US-only too. eToro serves users in 75 countries, with fees that vary by country. Walnut connects brokers outside the US as well, including Questrade and Wealthsimple in Canada, Stake in Australia, and Trading212, and can place approved trades at each of them. For the other apps, check the provider's own eligibility page before signing up.

For a beginner, the right app depends on how involved you want to be from day one.

• You want it hands-off. A robo-advisor builds and manages a diversified portfolio for you. SoFi's automated investing sits inside a single money app; Wealthfront and Betterment are the best-known managed options. All three charge 0.25% of assets a year at most balances (Betterment charges $5 a month below $24,000 unless you set up a $200+ monthly deposit). Acorns, at $4 to $12 a month, is another common beginner on-ramp built around rounding up spare change into a managed portfolio.
• You want to learn by asking. A conversational app lets you explore in plain English. Magnifi answers natural-language questions and helps you discover funds; Walnut, connected to a small real account, lets you ask about what you actually hold.
• You want to place your own trades. Self-directed apps like Public (with its AI research and agents) and eToro (with copy trading and a demo account) put you in control of each trade with research tools alongside, rather than automating a portfolio for you.

If the job is analyzing a portfolio you already hold, rather than building a new one, you want an app that can read your real accounts. PortfolioPilot connects the accounts you have and returns a structured critique with a risk score and suggested changes. Walnut connects your broker and frames each holding against the S&P 500, classifying it as outperforming, in line, or lagging, alongside concentration and momentum reads. Magnifi can answer questions about holdings you connect. By contrast, robo-advisors like Wealthfront and Betterment do not analyze what you own; they replace it. Danelfin analyzes individual stocks, not your whole mix.

For a deeper look at this category specifically, see the best AI portfolio analyzers roundup.

The most common reason people search for an AI investing app is to ask plain-English questions about the holdings they already own. On their own, Claude, Gemini, and Perplexity cannot see your portfolio, so they answer with made-up examples. ChatGPT is the exception for US users who link accounts through its Finances feature: it can then read balances and holdings, though it cannot place trades or work toward target weights, and some institutions share balances without holdings. To talk to your real positions and act on them, you need an app that connects your brokerage. Walnut connects your existing account and lets you analyze and manage it by chatting through Claude, ChatGPT, or a built-in assistant, read-only by default and with any trade you approve. Magnifi is conversational for research and fund discovery, and PortfolioPilot answers about a portfolio you connect through its critique format. eToro and Public also pair self-directed trading with AI research, though they are their own brokers rather than connectors to an account you already hold.

We started from the apps people actually search for under “best AI investing app” and weighed five things:

• What job the AI does: manage money, analyze a portfolio you hold, score stocks, or assist research, since these are not the same product.
• Whether it can see your real holdings, which is the difference between answers about your actual portfolio and generic examples.
• Account model: whether it connects a brokerage you already use (read-only by default) or holds your money as a robo-advisor or its own broker.
• Transparency and control: whether it explains its reasoning and whether it can ever trade without your approval.
• Honesty of the marketing: we marked down anything implying guaranteed market-beating returns, because no app can promise that.

The ranking is by breadth of usefulness, not a universal winner. Figures and features change; treat the specifics here as a starting point and verify on each provider's site.

To be upfront, since this is our site: we rank Walnut first because this guide's deciding question is whether an app can see the portfolio you already own, and that is the job Walnut is built for. If your job is different, the next section says which app fits better. It connects your existing brokerage and lets you analyze and manage what you hold by talking through Claude, ChatGPT, or a built-in assistant, and build thematic portfolios around an investing thesis. Its dashboard frames each holding's return against the S&P 500 and classifies it as outperforming, in line, or lagging, alongside momentum and concentration reads. Because broker feeds rarely pass cost basis, Walnut uses a window-return framing rather than realized profit and loss, and says so. It is read-only by default, every trade needs your approval, and you keep the broker you already use. Walnut is not an investment adviser.

From a connected account you can dig into a specific stock, an ETF you hold, or a theme you want exposure to. For the connection itself, see how to connect your brokerage to an AI assistant, or the in-product best AI investing app guide.

Just as importantly, here is when another app fits better than Walnut:

• You genuinely want to be hands-off. If the appeal is not having to think about it, a robo-advisor like Wealthfront, Betterment, or SoFi exists precisely so you do not have to be involved.
• You want a one-shot risk score and recommendation report. PortfolioPilot delivers that structured critique format directly; Walnut is more interactive and conversational.
• You want an AI signal on individual stocks. Danelfin scores each stock on its odds of beating the market; Walnut works on your whole portfolio rather than rating single tickers.
• You want to research and trade inside one self-directed broker. Public pairs commission-free trading with built-in AI research; Walnut sits on top of the broker you already use rather than being one.
• You do not have a brokerage and do not want to manage one. Walnut needs an existing account to connect. A robo-advisor or a standalone broker would suit better.