Danelfin vs Magnifi: Which Is Better in 2026?

Figures and features are point-in-time and change; treat the table as a starting map, not a live quote.

Assigns each stock an AI Score estimating its probability of beating the market over the coming months. Best for research-driven stock pickers who want a quantitative signal.

How it works: Danelfin's models crunch thousands of fundamental, technical, and sentiment features per stock every day and distill them into a single AI Score from 1 to 10, meant to reflect the probability of beating the market over the next few months. You browse the scores, filter for high-rated names, and then buy them in whatever broker you already use.

In practice, Danelfin’s AI scores stocks (ai score 1-10). It falls under ai stock research and scoring, which makes it best suited to quantitative stock signals. On connecting an account it is “No”, and on execution it is “None”. It is priced as subscription.

One honest limitation: It scores stocks; it does not manage a portfolio or connect to your broker.

A conversational AI investing assistant you can ask natural-language questions about funds and holdings, with account-connection features. Best for research and discovery in plain English.

How it works: Magnifi is built around a chat box: you ask plain-English questions like "what are low-cost clean-energy ETFs?" or "how diversified am I?" and it surfaces investments, side-by-side comparisons, and observations. You can link accounts so its answers reflect what you actually hold, and it points you toward funds and stocks to consider.

In practice, Magnifi’s AI conversational fund/stock research. It falls under ai stock research and scoring, which makes it best suited to research and discovery in plain english. On connecting an account it is “Partial”, and on execution it is “Read / discovery”. It is priced as subscription.

One honest limitation: Skews toward fund discovery rather than managing a concentrated stock portfolio.

The core difference is category. Danelfin focuses on quantitative stock signals (scores stocks (ai score 1-10)), and Magnifi on research and discovery in plain english (conversational fund/stock research). On broker connection they differ too: Danelfin is “No” versus Magnifi at “Partial”. That shapes everything downstream: how personal the answers are, where trades settle, and how much control you keep over individual positions.

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

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.

• Danelfin: does not see your holdings. Danelfin 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.
• Magnifi: partial account connection. Magnifi offers some account-connection features, but it leans toward research and discovery rather than a full, continuous read of your real positions.

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.

There is no universal winner here; the right pick depends on the job you are hiring the tool for. Match the category to your intent rather than chasing a single “best.”

• Choose Danelfin if you want quantitative stock signals. Its AI scores stocks (ai score 1-10), it is priced as subscription, and it fits ai stock research and scoring. It is built for research-driven stock pickers who want a quantitative second opinion before they buy. Keep in mind that it scores stocks; it does not manage a portfolio or connect to your broker.
• Choose Magnifi if you want research and discovery in plain english. Its AI conversational fund/stock research, it is priced as subscription, and it fits ai stock research and scoring. It is built for investors who want to research and discover funds by chatting in plain English. Keep in mind that skews toward fund discovery rather than managing a concentrated stock portfolio.

Because both sit in the same category, the choice comes down to the finer details above rather than a fundamental difference in approach.

Cost is easy to misread when two tools charge in different shapes, so compare the model, not just the number. Danelfin is priced as subscription, while Magnifi is priced as subscription. 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.

Pricing and tiers change often. Confirm the current numbers on each provider’s own site before you decide; the framing above is point-in-time.

If neither quite fits, Walnut sits in a third category: chat-driven management of your own brokerage. It connects the brokerage you already use through SnapTrade, lets you analyze and manage it by talking through Claude or ChatGPT, build thematic portfolios around a thesis, and place trades you approve. Read-only by default. See Walnut vs Danelfin and Walnut vs Magnifi. Walnut is not an investment adviser.