Magnifi vs Danelfin: Which AI Investing Tool Wins in 2026

Danelfin is the better pick if you want AI-ranked stock ideas backed by a published score. Magnifi is the better pick if you want to ask plain-English questions about your portfolio or the market. They solve different problems, so the winner depends on whether you are screening for new positions or analyzing what you already hold.

Both tools launched with the same pitch, that artificial intelligence can do research faster than a human analyst, but they built toward different jobs. Danelfin, founded in Barcelona in 2017, put its energy into a single number: an AI Score from 1 to 10 that ranks how likely a stock is to beat the market over the next three to six months. Magnifi, backed by TIFIN, went the conversational route, letting retail investors type a question like 'show me low-debt EV stocks under $50' and get an answer without touching a screener. I tested both for two weeks in August 2026 against the same watchlist of 20 tickers to see where each one actually earns its subscription fee.

The gap between the two shows up fastest in onboarding. Danelfin drops you straight into a screener grid the moment you sign up, sorted by AI Score, which suits someone who already knows how to read a stock table. Magnifi instead opens a chat box and asks what you want to know, which is friendlier for someone who has never used a screener at all. Neither approach is wrong, but they signal who each product was actually built for: Danelfin for people who already screen stocks and want a better ranking signal, Magnifi for people who want research without learning screener syntax first.

Is Danelfin's AI Score actually accurate?

Danelfin's AI Score is a 1-10 rating produced by an ensemble of machine learning models (gradient boosting, random forest, and neural nets) trained on more than a decade of fundamental, technical, and sentiment data. A score of 8-10 means the model's historical backtests found similar setups outperformed the broader market; a score of 1-3 flags elevated downside risk over the same window.

What the score does not tell you is why. Danelfin surfaces the top contributing factors (say, insider buying plus low short interest) but does not hand you an analyst-style thesis the way a human write-up would. In our test, several 9-10 scored names were momentum stocks that had already run 15-20% in the prior month, which is useful context the raw number does not carry on its own.

Danelfin's AI Score is a screening signal, not a full thesis, and it works best layered on top of your own fundamental check rather than used as a standalone buy trigger.

What data actually feeds each platform's AI?

Danelfin's model ingests roughly 800 fundamental, technical, and sentiment factors per stock, refreshed daily, then runs them through an ensemble of gradient boosting, random forest, and neural network models trained on more than 10 years of market history. The company retrains the ensemble periodically as new data comes in, which is why a stock's score can shift week to week even without major news.

Magnifi's data pipeline is built for a different job: linking to your actual brokerage and retirement accounts through account aggregation, then layering a natural-language model on top that maps your question to a query against market data providers. It is less about scoring every stock in the market and more about answering questions against the specific tickers you already hold or are actively considering.

Danelfin's model is built to rank the entire market; Magnifi's model is built to answer questions about the slice of the market you personally hold.

What does Magnifi do differently?

Magnifi skips the numeric score entirely. Instead, you connect your brokerage accounts and ask questions in natural language: 'What percentage of my portfolio is in tech?' or 'Find dividend ETFs with an expense ratio under 0.2%.' The assistant parses the query, runs it against its data set, and returns a short answer plus a list of matching tickers or a portfolio breakdown.

The strength here is speed for portfolio-level questions a screener would take five clicks to answer. The weakness is that Magnifi's stock-level research depth does not match a dedicated scoring engine like Danelfin's when you actually need to rank candidates against each other.

Magnifi's core value is turning a portfolio question into an answer in one sentence instead of five menu clicks through a traditional broker dashboard.

Magnifi vs Danelfin: pricing and plans

Pricing is where the two tools diverge most, both across their own tiers and against each other. Danelfin's entry paid tier costs more than Magnifi's top consumer tier.

If you only need portfolio Q&A, Magnifi's $99-a-year plan is a fraction of Danelfin's cheapest paid tier. If stock screening and ranking is the job, Danelfin's $29-a-month Starter plan is the realistic entry point, since the free tier caps AI Score visibility too tightly to be useful for daily screening.

Which tool fits your trading style?

Position sizing habits matter here too. Someone running a concentrated portfolio of 10-15 names benefits more from Magnifi's exposure and overlap checks, since a single new position can meaningfully shift sector weighting. Someone running a diversified basket of 40+ names, where any single addition barely moves the overall allocation, gets more marginal value from Danelfin's ranking since the research question is 'which of these should I even consider' rather than 'how does this change my mix.'

A buy-and-hold investor checking allocation once a month fits Magnifi's model better; an active swing trader screening for new setups weekly gets more out of Danelfin's ranked list.

What are the biggest limitations of each platform?

• Neither platform executes trades directly, you still need a brokerage connection to act
• Danelfin's AI Score updates do not explain macro or news-driven moves in real time
• Magnifi's natural-language search struggles with multi-condition queries chained with 'and' plus 'or'
• Both tools' free tiers exist mainly as a funnel into the paid plan, not a standalone research toolkit
• Neither tool replaces reading a company's actual 10-Q or earnings call transcript

Budget an extra 10-15 minutes per idea for manual verification on either platform. Treat both as a first filter, not the final word, before sizing a position.

Can you use Magnifi and Danelfin together?

Yes, and in our test this combination worked better than either tool alone. Use Danelfin to generate a short list of 8-10 scored candidates in a sector you are watching, then run those same tickers through Magnifi against your existing portfolio to check for overlap, sector concentration, or correlation with positions you already hold.

Running Danelfin for idea generation and Magnifi for portfolio-fit checking covers both halves of the research process that neither tool handles well on its own.

The verdict

Pick Danelfin if your main job is finding new stocks to research, and you want a transparent, published score to start from. At $29 a month for the Starter plan, it is a reasonable cost for an active trader who screens weekly and wants a repeatable ranking process instead of gut-feel picks. Pick Magnifi if your main job is understanding what you already own, since $99 a year is cheap for instant, plain-English answers about portfolio exposure, sector concentration, and overlap between positions you have already opened.

Budget-conscious investors who only check their portfolio monthly should start with Magnifi's free tier and upgrade only if the query cap becomes limiting. Active screeners who add new positions weekly will hit Danelfin's free-tier ceiling fast enough that the $29 Starter plan becomes the realistic starting point rather than a luxury upgrade.

Neither tool should be your only research step before a trade. In 2026, the winning setup for most retail investors is Danelfin for the initial screen and Magnifi, or a similar portfolio tool, for the sanity check before you size the position.