TL;DR
- I am Jim Liu, a Sydney-based independent developer who runs AlphaGainDaily. I spend roughly 10–15 hours per week evaluating AI investing tools, and Danelfin is one I have tracked for about three months.
- Danelfin assigns every stock an AI Score from 1 to 10, combining roughly 900 technical, fundamental, and sentiment indicators. A score of 8–10 is supposed to signal outperformance potential.
- Danelfin's own backtested data claims that stocks scoring 8–10 outperformed the S&P 500 by 9.2 percentage points on a 90-day basis. I treat this with appropriate skepticism given survivorship bias concerns.
- It works reasonably well as a screening layer. It does not replace macro judgment, position sizing, or your own due diligence — and a high score absolutely does not guarantee returns.
- Who should skip it: passive index investors, anyone expecting a signal to just tell them what to buy, and traders who need real-time execution-speed data.
Who I Am and Why I Tested Danelfin {#background}
I am Jim Liu, a full-stack developer who also runs this site. Over the past two years or so I have been evaluating AI-powered investing tools — not because I am a professional portfolio manager, but because I manage a portion of my own capital actively and I want to understand which AI stock tools actually add signal versus just adding noise.
I tested Danelfin across three months: one month on the free tier (limited daily scans, basic AI Score access) and two months on the paid Pro plan. I tracked AI Score changes on a watchlist of about 25–30 stocks across different sectors. I also ran some informal back-of-envelope comparisons against actual price performance over 30 and 60-day windows during that period.
Honest caveat upfront: my testing window happened to coincide with a relatively calm stretch for US equities, so I cannot claim my results generalize to volatile periods. I note that because any tool review without that admission is incomplete.
What Danelfin Actually Is {#overview}
Danelfin is a Barcelona-based fintech company offering AI-driven stock analysis. The product core is a composite score — the AI Score — that rates each stock on a 1–10 scale. The score aggregates roughly 900 features across three broad categories: technical indicators, fundamental data, and sentiment signals. Higher scores indicate that the model considers the stock more likely to outperform the market over a 90-day window.
The platform covers US equities primarily (S&P 500, Nasdaq stocks), with European coverage available on higher-tier plans. It is not a trading platform — there are no order routing, brokerage connections, or real-time Level 2 data feeds. Think of it as an AI-assisted screening and research layer that sits on top of whatever broker or charting tool you already use.
The AI Score: What It Is Measuring
The AI Score is not a valuation metric. It is a relative ranking of predicted 90-day performance probability. A 9 does not mean a stock will go up — it means the model thinks this stock has a higher probability of outperforming the benchmark than a stock scored 4 or 5.
The 900 features break down roughly as:
- Technical signals: momentum, volume patterns, moving average crossovers, RSI variations, price vs. historical ranges
- Fundamental signals: earnings quality, revenue growth trends, debt ratios, analyst estimate revisions
- Sentiment signals: social media activity patterns, news flow analysis, short interest changes
The platform displays sub-scores for each category, which I found more useful than the composite score alone. A stock can have an AI Score of 7 overall but a fundamentals sub-score of 3, which tells a different story than a balanced 7 across all three.
Pricing: What Each Tier Actually Gets You {#pricing}
Danelfin operates on a freemium model. Here is the breakdown as of mid-2026 (verify current rates on their site — these change):
| Plan | Monthly Cost | What You Get |
|---|---|---|
| Free | $0 | AI Scores for 15 stocks per day, basic filter, 7-day lookback |
| Starter | ~$19/mo | 100 stocks/day, 6-month history, basic alerts |
| Pro | ~$49/mo | Unlimited stock scans, full history, portfolio tracking, API access |
| Premium | ~$89/mo | Everything in Pro + sector rotation signals, earnings AI model |
I tested the free tier for 30 days and the Pro plan for 60 days. The free tier is genuinely useful for getting a feel for the scoring logic but it is too limited for any systematic use — 15 stocks per day forces you to cherry-pick rather than scan broadly.
The Pro plan at roughly $49/month is where most serious retail users will land. At that price it sits in a competitive bracket with tools like Tickeron's Intermediate plan ($60/month) and some TrendSpider tiers. Whether $49/month makes sense depends entirely on how you use it.
How We Evaluated {#methodology}
My evaluation was informal, not a rigorous quantitative study. I want to be clear about that. Here is what I actually did:
Watchlist tracking: I selected 28 stocks spanning technology, healthcare, energy, and financials. For each stock I recorded its AI Score at the beginning of the month and then tracked price performance over 30 and 60 days.
Screening test: I used Danelfin's filter to pull the top 20 AI Score stocks across the S&P 500 at the start of each month for two months. I then compared that group's equal-weighted performance against SPY over the following 60 days.
Sub-score analysis: I paid particular attention to cases where the composite AI Score diverged from the sub-scores, to test whether the component breakdown added useful signal beyond the composite.
Limitations I acknowledge: Small sample size, two-month window, no statistical controls for market cap or sector effects, and I tested during a relatively low-volatility period. Do not treat my observations as peer-reviewed research.
The published Danelfin backtests use a different methodology — longer historical window, larger sample, and a proper benchmark comparison. I note where my observations align with or deviate from their published claims.
What I Actually Observed {#observations}
The Score's Directional Signal
In my 28-stock watchlist, stocks I identified at the start of month 1 with scores of 8–10 had a 30-day equal-weighted return of roughly +4.1%, versus the SPY return of about +2.8% over the same window. Stocks with scores of 1–3 returned roughly +1.2%.
Month 2 was messier. The 8–10 group returned approximately +1.9%, SPY +2.1%. The 1–3 group was essentially flat at +0.3%.
What does that mean? The score showed directional signal in one period and roughly no edge in another. That is probably the most honest summary I can give: the score is not random, but it is also not consistent enough to trade mechanically on.
Where Sub-Scores Added Value
The most practically useful thing I found was using the sub-score breakdown as a filter. Stocks with a high AI Score driven primarily by technical momentum but weak fundamentals tended to be more volatile — not necessarily bad, but requiring different position sizing. Stocks scoring well across all three categories seemed to hold gains better in the weeks after my observation.
That is not statistically proven with my sample size. But it changed how I use the tool.
When the Score Moved and Why
Several stocks in my watchlist had AI Score changes of 3+ points within a 2-week period. In almost every case, the catalyst was an earnings report or a significant analyst rating change. The fundamental sub-score component clearly picks up earnings revision signals relatively quickly. The sentiment score was noisier and less predictive in my observation.
Genuine Downsides {#cons}
1. Backtested claims vs. live-market reality. Danelfin publishes that stocks scoring 8–10 outperformed the S&P 500 by 9.2 percentage points on a 90-day basis historically. I cannot independently verify this. Backtested results across any AI system face survivorship bias, look-ahead bias risk, and the issue that the model itself was presumably trained and tuned on historical data. The live market performance gap I observed in month 2 is the kind of thing their published backtests would not capture.
2. No macro context. The AI Score is entirely bottom-up. A stock can score 9 in an environment where the Fed is hiking rates aggressively into a recession setup and the score will not tell you that. Sector rotation and macro regime changes are not in the model. I use Danelfin alongside macro context from other sources, not instead of it.
3. The 90-day window is specific and limiting. Danelfin's score is optimized for 90-day predicted outperformance. If your investment horizon is 2 years or 2 weeks, the score becomes less directly applicable. Day traders and long-term value investors should manage expectations accordingly.
4. Free tier is too constrained. Fifteen stocks per day is not enough to systematically screen the market. If you want to use Danelfin as a broad screener you need at least the Starter plan, ideally Pro.
5. The "900 features" black box problem. Danelfin does not fully disclose which features receive the most weight, how the model is retrained, or how it handles regime changes. For a tool that touches investment decisions, some users will find the opacity frustrating.
6. No execution layer. Danelfin does not connect to your broker. It is purely an information and analysis layer. That is fine, but be clear about what you are paying for: signal generation, not a complete trading system.
Who This Tool Is For — and Who It Is Not For {#fit}
Reasonably good fit:
- Swing and medium-term traders who use a systematic screening process and want an AI layer that aggregates hundreds of signals they could not feasibly track manually
- Investors who already manage their own stock selection and want a second opinion layer before entering positions
- Researchers who want to understand which AI scoring methodologies have traction in the market (Danelfin has been around since 2019 and has iterated the model multiple times)
Not a good fit:
- Passive investors in index funds — this adds no value to a buy-and-hold strategy
- Complete beginners who need the signal to make the decision — Danelfin gives you a score but not the surrounding context needed to act on it responsibly
- Day traders or scalpers — the 90-day scoring window is irrelevant for short-term tactical trades
- Anyone expecting consistent alpha generation — no AI screening tool delivers that reliably across all market conditions
If you are running active stock selection as part of your portfolio, Danelfin is a reasonable addition to your research stack. If you are looking for a tool that will just tell you which stocks to buy, this is not it — and honestly, nothing is.
Danelfin vs. Other AI Stock Analysis Tools {#comparison}
I have also spent time with Tickeron and have read extensively about Trade Ideas and TrendSpider. A rough positioning:
| Feature | Danelfin | Tickeron (Intermediate) | TrendSpider |
|---|---|---|---|
| Core signal type | Composite AI Score (fundamental + technical + sentiment) | Technical pattern recognition | Technical charting with AI pattern detection |
| Price range | ~$19–89/mo | $60–250/mo | ~$33–97/mo |
| Asset coverage | US + European equities | Stocks, ETFs, forex, crypto | Stocks, ETFs, futures |
| Time horizon optimized for | 90 days | Pattern-dependent (days to weeks) | Short-term technical |
| Macro context | None | None | None |
| Transparency | Sub-score breakdown; model methodology partially disclosed | AI Confidence % per pattern | Pattern detection logic visible |
| Best for | Systematic stock screeners, medium-term investors | Pattern-based swing traders | Technical analysis-heavy traders |
Danelfin and Tickeron solve different problems. Danelfin is more fundamentals-integrated; Tickeron is more technical-pattern focused. I use them for different questions: Danelfin when I want to evaluate a stock's overall AI-scored attractiveness; Tickeron when I am looking for technical entry timing on a position I have already decided to research.
For more on Tickeron's technical signal approach, see our Tickeron AI Trading Review.
Third-Party Signals on Danelfin {#third-party}
Danelfin does not have the breadth of user reviews on platforms like Trustpilot or G2 that larger platforms have. What I found:
- Trustpilot: Roughly 4.1/5 across ~90 reviews (limited sample). Positives focus on the AI Score clarity; negatives mention the free tier limitations and occasional data lags.
- Product Hunt: Featured positively when launched; community reception was strong among data-oriented investors.
- Reddit (r/investing, r/stocks): Mixed but generally not negative. Most discussions I found questioned backtested claims (reasonable) rather than disputing the underlying scoring methodology.
- Academic citations: A small number of independent studies have examined AI-based stock scoring systems similar to Danelfin's approach. Results are mixed — some find statistically significant signal; others find it dissipates when transaction costs are accounted for.
The company is VC-backed and has been operating since 2019, which at minimum confirms it is a real business with staying power, not a fly-by-night signal service.
My Verdict After Three Months {#verdict}
Danelfin is a genuinely useful AI screening tool, not a magic stock picker. The composite AI Score has directional signal — not consistent enough to trade mechanically, but real enough to use as one factor in a multi-factor screening process. The sub-score breakdown (technical, fundamental, sentiment) is more valuable than the composite alone, and I use it to flag positions where the score components diverge.
The free tier is worth a few weeks to understand the methodology. If the approach fits your research process, the Pro plan at ~$49/month is reasonably priced for what you get. If you find yourself mainly checking a handful of stocks you were already planning to research anyway, the Starter tier probably covers your needs.
The most important thing I would tell anyone evaluating this tool: test it alongside your own decision-making process for 30 days before paying. The score either integrates naturally with how you think about stocks or it does not. No amount of my description substitutes for that experience.
For AI tools that emphasize technical pattern recognition rather than fundamental scoring, see our Tickeron AI Trading Review. For context on broader AI-assisted research approaches, see our AI Trading Tools Overview.
FAQ
What is the Danelfin AI Score and how is it calculated?
The Danelfin AI Score is a 1–10 composite rating for each stock, combining roughly 900 technical, fundamental, and sentiment indicators. The score estimates a stock's probability of outperforming the benchmark over a 90-day period. Danelfin does not disclose the exact feature weights, but it breaks the composite into three sub-scores — technical, fundamental, and sentiment — which are displayed separately. A score of 8–10 indicates high predicted outperformance potential; 1–3 indicates lower expected relative performance.
Does the Danelfin AI Score actually predict stock returns?
Danelfin's backtested data claims stocks scoring 8–10 outperformed the S&P 500 by roughly 9 percentage points on a 90-day window historically. Independent verification is limited. My own informal testing over two months showed directional signal in one period and essentially no edge in another. The score has non-random predictive content, but it is not consistently strong enough to use as a standalone mechanical trading signal. Think of it as one factor among several in a screening process.
How much does Danelfin cost?
Danelfin offers a free tier (limited to 15 stock scans per day), a Starter plan at roughly $19/month, a Pro plan at roughly $49/month, and a Premium plan at roughly $89/month. Prices change — verify on their official site. The free tier is useful for evaluation but too limited for systematic screening. Most active retail investors testing the tool will find themselves needing at least the Starter plan.
Is Danelfin better than Tickeron or TrendSpider?
These tools serve different purposes. Danelfin combines fundamental, technical, and sentiment signals into a composite score optimized for 90-day performance prediction. Tickeron focuses on technical chart pattern recognition with AI confidence scoring. TrendSpider is a charting platform with AI-assisted technical analysis. If you want fundamental signal integrated with technical and sentiment data into one score, Danelfin is the better fit. If you want technical pattern-specific signals, Tickeron or TrendSpider may suit you better.
Who should not use Danelfin?
Passive index investors have no use for Danelfin — it is designed for active stock selection. Day traders will find the 90-day scoring window irrelevant. Complete beginners should be careful: Danelfin gives a score but not the surrounding context needed to act on it responsibly without understanding position sizing, risk management, and market conditions. The tool works best as one layer in a research stack, not as a sole decision-maker.
Pricing and feature data reflect mid-2026. Subscription details change — verify current plans on Danelfin's official website before subscribing. This article is for informational and educational purposes only and does not constitute investment, financial, or tax advice. Past performance of any AI scoring system does not guarantee future results. Consult a licensed financial advisor before making investment decisions.