Walnut vs AlphaSense: Which Is Better in 2026?

Prices checked October 2026. A price marked (Oct 2026) was read on the vendor's own pricing page; others are described without a number because we could not verify one.

The AI that knows your portfolio. Ask anything in plain English, research any stock or fund, and get an honest second opinion, on the broker you already use. Read-only by default, you approve every trade, and it never holds your money. Walnut is not an investment adviser.

How it works: You connect the brokerage you already use, read-only by default, so your login stays with your broker and your money never moves. Walnut gives each holding a keep, trim or exit read from its one-year price return against the S&P 500, its momentum and its size, and flags any position above a quarter of the portfolio. You ask follow-up questions in Walnut's own assistant, or inside Claude or ChatGPT through its connector, which only reads. You can turn a thesis into a basket with target weights, and when you decide to act Walnut drafts the trades and places the ones you approve at Public plus eight other brokers including E*Trade, tastytrade and Webull.

In practice, Walnut’s AI reads your real holdings, rates each one against the S&P 500, builds baskets and drafts trades. It is an AI investing app that connects the brokerage you already use, best suited to a keep, trim or exit read on the stocks you already own, and placing the trades you approve. On connecting an account: yes (the brokerage you already use, read-only by default). On execution: places the trades you approve at Public and eight other brokers. Cost: free; Walnut Plus $9.99/mo on the web; no fee on assets.

One real limitation: It has no cost basis or tax lots, so it reports one-year price returns and cannot show profit and loss, and it is read-only at Schwab, Fidelity and Vanguard.

An enterprise market-intelligence platform that searches filings, earnings transcripts, expert calls and broker research with AI summarisation.

How it works: AlphaSense indexes a large licensed corpus of company filings, earnings call transcripts, expert interviews, news and broker research, then lets you search it semantically and generate AI summaries with citations back to the source document. Its value lies mostly in the corpus and the citation trail, and it sells mainly to institutions.

In practice, AlphaSense’s AI searches and summarises a licensed document corpus. It is an AI stock research and scoring tool, best suited to professional research across filings, transcripts and broker notes. On connecting an account: no (research only). On execution: no. Cost: quote-based annual plans, no public price; free trial (Oct 2026).

One real limitation: Priced and built for institutions, so it is not a realistic tool for an individual investor managing their own portfolio.

In short, AlphaSense is about generating stock ideas, scores, or signals to research, while Walnut is about deciding what to do with the stocks you already own: each one gets a keep, trim or exit read, and Walnut places the trades you approve. AlphaSense produces research and signals you then act on somewhere else, whereas Walnut connects your real account so the AI works on your actual holdings.

Every tool gives something up for what it does well. Below is the give-and-take on each, so you can weigh the specific strengths against the limitations that come with them, beyond the headline category.

For AI investing tools, the distinction that matters most is whether the tool works from your actual, connected positions or reasons from something else: a separate account it manages for you, or the tickers and numbers you feed it. It decides how personal the answers can be, and where your money physically lives.

• Walnut: reads your real connected holdings. Walnut connects your real brokerage (Yes (the brokerage you already use, read-only by default)) and works from your actual positions, so its answers reflect what you actually own.
• AlphaSense: does not see your holdings. AlphaSense works from market data and the tickers you research, not your live positions. You read its output, then act in whichever broker you keep your money at.

This is where they diverge most. One works from your real, connected account while the other does not, so if you want an assistant grounded in the exact positions you already hold, that gap is the thing to weigh first. This holdings-aware angle is the one Walnut is built around: it connects the brokerage you already use and reasons from your live positions, read-only by default, with any trades left for you to approve.

Each one wins a different job, so the answer depends on which job you need done.

• Choose Walnut if you want a keep, trim or exit read on the stocks you already own, and placing the trades you approve. Its AI reads your real holdings, rates each one against the S&P 500, builds baskets and drafts trades, and it costs free; Walnut Plus $9.99/mo on the web; no fee on assets. It is built for investors who already own stocks at a broker and want an AI investing app to tell them which to keep, trim or exit, without moving their money. Keep in mind: it has no cost basis or tax lots, so it reports one-year price returns and cannot show profit and loss, and it is read-only at Schwab, Fidelity and Vanguard.
• Choose AlphaSense if you want professional research across filings, transcripts and broker notes. Its AI searches and summarises a licensed document corpus, and it costs quote-based annual plans, no public price; free trial (Oct 2026). It is built for a professional analyst or corporate strategy team, not an individual managing a personal portfolio. Keep in mind: priced and built for institutions, so it is not a realistic tool for an individual investor managing their own portfolio.

Because they sit in different categories, this is not strictly either-or: some investors use one for a keep, trim or exit read on the stocks you already own, and placing the trades you approve and the other for professional research across filings, transcripts and broker notes, and watch for overlapping costs.

Cost is easy to misread when two tools charge in different shapes, so compare the model, not just the number. Walnut: free; Walnut Plus $9.99/mo on the web; no fee on assets. AlphaSense: quote-based annual plans, no public price; free trial (Oct 2026). A percentage-of-assets fee scales with your balance, a flat subscription does not, and a “free” tier usually earns elsewhere (on cash, order flow, or premium upgrades), so the cheapest headline is not always the cheapest outcome for your situation.

Prices checked October 2026. Pricing and tiers change, so confirm the current numbers on each provider’s own site before you decide.