TipRanks vs AnaChart: Which Analyst Rating Tool Is More Accurate? (2026)
Last updated: July 3, 2026
What TipRanks does well
Give TipRanks credit: it popularized the idea that analysts should be held to their track record, and it packages a lot into one place. Its signature is the Smart Score — a 1-to-10 rating that blends analyst opinion, financial-blogger sentiment, hedge-fund and insider activity, news sentiment, and fundamentals into a single number per stock.
It also ranks analysts and bloggers globally, shows consensus price targets, and covers a broad universe across the US, UK, and Canada. For a fast, one-glance read on a stock and the “experts” behind it, it’s genuinely useful — though most of the deep history sits behind its paid tier.
Here’s the limitation, though: a single global rank per analyst can’t tell you whether that analyst has met their targets on your stock specifically. That’s the gap AnaChart is built to close.
What AnaChart measures differently
First, a quick distinction, because these two get mixed up. A rating is the buy, hold, or sell call, an opinion on direction. A price target is the actual number the analyst says the stock will reach, usually within a year. AnaChart scores the number, not the opinion, because a number is checkable: the stock either reached it or it did not. That is what the met ratio and performance score are built on.
AnaChart does one thing TipRanks doesn’t: it scores each sell-side analyst per stock. Every price target since 2004 is checked against what the stock actually did, producing a per-analyst, per-stock record — a met ratio (how often their targets were reached), the date their current rating began, and, most importantly, a performance score that determines the ranking.
Where TipRanks hands you one Smart Score for the stock and one global rank for the analyst, AnaChart tells you, for this exact name, which analyst has earned your trust — and the answer is often not who you’d guess.
Here is what one stock’s record looks like in practice.
Every AnaChart stock page shows the same two things, in this order. First the matrix, a snapshot of who to act on. Below it, a dynamic price-target chart so you can verify the record yourself.
1. The matrix, the snapshot. One row per analyst covering the stock, ranked by performance score. Three columns decide that ranking: the met ratio (how often their targets were reached), the average days to hit (how fast), and how big the targets were. Watch Apple below. Laura Martin has reached every one of her targets, 55 of 55, yet she sits fourth, because her targets are small, roughly 11% moves. Krish Sankar tops the list on a 90% hit rate, because his get reached fast and by a wider margin. A perfect but modest record can rank below a strong, bolder one.
| Analyst | Rating | Current PT | Upside | Prev PT | Rating since | Met ratio | Avg upside | Avg days | Score |
|---|---|---|---|---|---|---|---|---|---|
| Krish Sankar · TD Cowen | Buy | $350 | +17% | , | 14-Mar-2019 | 90% (38/42) | +20% | 202 | 1.90 · #1 |
| Tom Forte · Maxim | Buy | $350 | +17% | $300 | 09-Jun-2026 | 97% (32/33) | +20% | 192 | 1.88 |
| Wamsi Mohan · BofA | Buy | $380 | +28% | $380 | 06-Feb-2024 | 97% (159/164) | +28% | 255 | 1.70 |
| Laura Martin · Needham | Hold | , | , | , | 10-Jun-2025 | 100% (55/55) | +11% | 195 | 1.66 |
| Amit Daryanani · Evercore | Buy | $365 | +29% | $365 | 04-Jan-2024 | 97% (154/159) | +33% | 275 | 1.58 |
2. The price-target chart, the proof. Right below the matrix sits the dynamic chart. Every price target an analyst set is plotted as a dot on the day they set it, and the line is the stock’s actual price. When the price reaches a dot’s level, that target was met, so you can check the matrix with your own eyes, every call since 2004.
Take Wamsi Mohan, Bank of America’s Apple analyst and one of the most-followed bulls on the stock. He has held a Buy since February 2024, and his live target is $380, about 28% above where Apple trades now. What makes him worth watching is the record behind the call, not the call itself: of the 164 price targets AnaChart has logged for him, 159 were reached, a 96.95% met ratio, and on average his targets came true in about 255 days. On the chart below his target markers sit well above the price line, and time after time the price has climbed to meet them. Tim Long of Barclays sits on the other side with a bearish $253 target. Overlaying the two lets you see at a glance whose read Apple’s price has actually rewarded:

How AnaChart ranks analysts: the performance score
This is the part most tools get wrong, so it’s worth being precise. AnaChart does not rank analysts by hit rate. It ranks them by a performance score that rewards hitting targets big and fast: it weights the size of a correct call (conviction) and the speed with which the stock reached the target, and it scores a missed target as zero. An analyst’s score on a stock is the average across all their targets on that name.
Why does that matter? Because a high hit rate built on timid, slow-to-land targets is worth less than a bold target reached quickly — and a single “accuracy” badge or global rank flattens that difference. The next section shows exactly how, on a stock everyone follows.
A real Apple example: why hit rate isn’t the ranking
Take Apple. You’d assume the analyst with the best hit rate is the one to follow. Not quite. Here are five of Apple’s well-followed analysts, ranked by AnaChart’s performance score:
| Analyst (firm) | Rating | Hit ratio | Avg days to target | Performance score |
|---|---|---|---|---|
| Barton Crockett (Rosenblatt) | Hold | 29/31 (93.6%) | 180 | 1.94 |
| Krish Sankar (TD Cowen) | Buy | 38/42 (90.5%) | 202 | 1.90 |
| Tom Forte (Maxim) | Buy | 32/33 (97.0%) | 192 | 1.88 |
| Laura Martin (Needham) | Hold | 55/55 (100%) | 195 | 1.66 |
| Erik Woodring (Morgan Stanley) | Buy | 46/48 (95.8%) | 213 | 1.32 |
Look at the spread. Laura Martin has hit a perfect 55 of 55 targets (100%) on Apple — yet she ranks fourth by performance score. Rosenblatt’s Barton Crockett, with a lower 93.6% hit rate, ranks first, because his correct calls have tended to land faster and with more conviction. A hit-rate screen would put Martin on top; a single global Smart Score wouldn’t separate any of them on Apple specifically. AnaChart’s per-stock performance score is the only one of the three that surfaces the actual order.
The same pattern shows up on Tesla
Apple isn’t a special case. On Tesla, Vijay Rakesh (Mizuho) has met 89% of his price targets and Itay Michaeli (TD Cowen) just 65%, yet Michaeli ranks higher. His targets get reached in about 86 days against Rakesh’s 274, and speed is part of the score. A slower 89% loses to a faster 65%.
| Analyst | Firm | Targets met | Avg days | Score |
|---|---|---|---|---|
| Itay Michaeli | TD Cowen | 65% | 86 | 4.22 |
| Vijay Rakesh | Mizuho | 89% | 274 | 4.01 |
| Ryan Brinkman | JPMorgan | 42% | 187 | 1.51 |
Global Smart Score vs per-stock score
This is the core difference, in one line: TipRanks scores the stock and ranks the analyst globally; AnaChart scores the analyst on the stock.
Here is that difference on Apple. TipRanks gives Apple one Smart Score, and it ranks Wamsi Mohan once, globally, across every stock he covers. AnaChart scores him on Apple alone, and ranks him against the other Apple analysts in the matrix above. His 1.70 sits mid-pack, below Krish Sankar at 1.90 and Tom Forte at 1.88, even though nearly all of his targets get reached and they sit about 28% above the price. What holds him back is speed: his targets take roughly 255 days to be reached, while the two analysts above him get there in about 200. And Laura Martin, with a perfect 100% hit rate, ranks lower still at 1.66, because her targets are small, around 11% moves. That is what the per-stock score captures and a single global rank cannot: not just how often an analyst’s targets get reached, but how fast and how big. Every one of them would rank differently on the next stock they cover.
A TipRanks Smart Score answers “what does the blend of experts and signals think of this stock?” A global analyst rank answers “how good is this analyst on average, everywhere?” Both are useful summaries. But neither answers the question that actually decides whether to trust a fresh target: has this analyst met their targets on this stock? An analyst can sit in TipRanks’ global top tier and still be mediocre on the one name you hold — and AnaChart’s per-stock score is what reveals it.
TipRanks vs AnaChart, side by side
| Feature | AnaChart | TipRanks |
|---|---|---|
| Analyst accuracy granularity | ✓Per stock — scored on each name | ✗One global rank per analyst |
| Ranking metric | Performance score (rewards big, fast, correct calls) | Smart Score (blends experts, sentiment, insiders, fundamentals) |
| Per-analyst price-target timeline vs events | ✓Each analyst’s targets over time | ✗No |
| Multi-analyst chart overlay | ✓Overlay 2+ analysts on one chart | ✗No |
| Rating held since (per analyst) | ✓Start date of each rating | ✗Not shown |
| History depth | Every target & revision since 2004 | Most deep history gated behind Premium |
| Bloggers, news, insider & hedge-fund signals | ✗Analyst data only | ✓Broad signal blend |
| Free access & pricing | Free Basic tier; Advanced $45/month | Limited free; Premium ~$30/month |
TipRanks details verified against tipranks.com as of June 2026; confirm current pricing on their site.
What AnaChart doesn’t replace
To be fair about it: AnaChart isn’t trying to be TipRanks. It doesn’t blend in financial-blogger opinions, news sentiment, insider or hedge-fund activity, or a composite stock score, and it focuses on US-listed names. If you want that one-glance, everything-in-one-number read, TipRanks does it well.
The cleanest division of labor: use TipRanks for the broad blend and a quick stock-level gauge, and use AnaChart when the decision comes down to a specific analyst on a specific stock — when you need to know whether the person behind a target has a real track record on that name, ranked by how big and fast their correct calls were.
Pricing and how to choose
TipRanks: a limited free view, with Premium around $30/month unlocking the deeper analyst history and Smart Score tools. AnaChart: a free Basic tier (sample stocks without registration, the Nasdaq 100 with a free account); Advanced is $45/month with a 7-day free trial, unlocking all 5,600+ US-listed stocks, per-stock performance scores, multi-analyst comparison, and alerts.
The fastest way to feel the difference is free: pick a stock you own and look at who has actually met their targets on it — Apple’s analyst records and performance scores are open right now, no sign-up required, or browse the top performing analysts by sector. Institutions can license the full dataset warehouse-native through Corporate Access on Snowflake or Google BigQuery.
Frequently Asked Questions
Is AnaChart a good TipRanks alternative?
For the specific job of judging analyst accuracy, yes — and it’s more precise, because it scores analysts per stock rather than giving one global rank. It’s also free to start. Where TipRanks is broader (bloggers, news sentiment, insider and hedge-fund signals, a composite Smart Score), AnaChart is deeper on the one question of whether a given analyst has met their targets on a given stock. Many investors use AnaChart for the analyst-accuracy layer and keep a broader tool for the rest.
How is AnaChart different from TipRanks’ Smart Score?
The Smart Score rates the stock by blending many signals into a 1-to-10 number, and TipRanks ranks analysts globally. AnaChart rates the analyst on the stock: it scores every price target against what the stock actually did and ranks analysts per name by a performance score. So TipRanks answers “what do the experts and signals think of this stock?” while AnaChart answers “which analyst has actually met their targets on it?”
How does AnaChart rank analysts — is it just hit rate?
No, and this is the key point. AnaChart ranks by a performance score that rewards hitting targets big and fast, not just often: it weights the size of a correct call and the speed it landed, and scores misses as zero. That’s why an analyst with a perfect hit rate can rank below one with a lower hit rate — as Apple’s table above shows, Needham’s Laura Martin is 55/55 (100%) yet ranks fourth, while Rosenblatt’s Barton Crockett ranks first at a 93.6% hit rate because his correct calls landed faster.
Does AnaChart score analysts per stock?
Yes — that’s its core difference from a global rank. The same analyst can have a strong record on one stock and a weak one on another, and AnaChart shows both rather than blending them into a single number. It’s the per-stock view that tells you whether to weight a specific target.
How accurate are Wall Street analyst price targets, generally?
Less uniformly accurate than their prominence suggests — which is exactly why per-analyst, per-stock records matter. Even on a heavily covered name like Apple, hit rates and performance scores diverge sharply between analysts carrying the same rating. The lesson isn’t to ignore analysts; it’s to weight them by their record on the specific stock, ranked by how big and fast their correct calls were.
How much does TipRanks cost vs AnaChart?
TipRanks has a limited free view with Premium around $30/month. AnaChart has a free Basic tier (sample stocks plus the Nasdaq 100), and Advanced is $45/month with a 7-day free trial, opening all 5,600+ US-listed stocks plus performance scores, multi-analyst charts, and alerts.
Should I use TipRanks and AnaChart together?
Many investors do. TipRanks gives you a broad, one-glance read on a stock and the experts around it; AnaChart tells you which of the analysts covering it has actually met their targets on that name and ranks them by performance. Used together, you get the breadth of TipRanks and the per-stock precision of AnaChart.
Related on AnaChart: AnaChart vs Simply Wall St is also worth a look. See also AnaChart vs Zacks. see Apple analyst price targets & accuracy, browse the top performing analysts by sector, and compare platforms in AnaChart vs MarketBeat, vs GuruFocus, and the best Stock Target Advisor alternatives.
For institutional teams: AnaChart’s full analyst price-target and accuracy dataset — every analyst, every target and revision since 2004 — is available warehouse-native through AnaChart Corporate Access, delivered straight into Snowflake or Google BigQuery with no ETL.
Does TipRanks show full price target history?
No — and the limit matters more than it first sounds. TipRanks’ stock-page forecast chart looks back only about a year, and its consensus price target is built from targets issued in just the past three months; none of its published plan tiers extend that window. The problem is that judging an analyst fairly means seeing their misses as well as their hits, across both bull and bear markets, over years rather than months. A short window quietly flatters analysts who happened to be right recently and hides the calls that aged badly. AnaChart keeps every price target and every revision since 2004, viewable per analyst, so you can replay an analyst’s entire track record on a stock and judge them over a full market cycle — the only honest way to tell skill from luck.
Can I compare multiple analysts on the same stock?
Yes, and it is one of AnaChart’s defining features. You can overlay two or more analysts’ price-target histories on the same stock chart, plotted against the actual share price, so the Street’s disagreement becomes visual: who has been consistently bullish, who has been bearish, who keeps getting the turning points right, and who is chasing the price after it moves. TipRanks shows one analyst’s record at a time on separate profile pages, which makes side-by-side judgement hard. Seeing the calls together — with each analyst’s accuracy attached — is what turns a list of ratings into an actual decision.
Which platform covers more analysts?
Raw headcount favors TipRanks, which counts roughly 8,000 Wall Street analysts inside a broader pool of about 96,000 “experts” that also includes financial bloggers and corporate insiders. But raw count is a vanity metric: much of it is retired analysts and non-professionals. AnaChart deliberately keeps under 3,000 genuinely active sell-side analysts, trimming those who have retired or stopped publishing, and invests that focus in depth — 660,000+ price targets with full revision history and a per-stock accuracy record on each name. On any individual stock you see only the analysts actually covering it today; Apple, for example, is followed by 29 right now.