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Quant Research

Research for 10,031 US-listed stocks and ETFs.

See what a stock is worth, how it scores, and where it sits in the market.

Research and education — not investment advice.

Quant // Maps · fair-value engineSnapshot of the 13 Nov 2026 closeLive · drag to rotate
BUILDING TERRAIN
The 500 largest valued stocks · upside to fair value
◆ VALUE TERRAIN
500 COMPANIES · HEIGHT = UPSIDE TO FAIR VALUE · CYAN LINE = PRICE AT FAIR VALUE · TILE SIZE = SECTOR WEIGHT ?
COLOR = UPSIDE TO FAIR VALUE
−100%0% · FV≥+100%
PRICE ▲UP ▼DOWN
91 unlabelled here — SCROLL TO ZOOM IN AND REVEAL · ALL 500 STAY CLICKABLE
3D UNAVAILABLE IN THIS BROWSER
The terrain needs WebGL. Try a different browser, or enable hardware acceleration in your browser settings.
HIDE FILTERS
GROUP BY
SECTORMODEL
CONFIDENCE
ALLHIGHMEDLOW
MARKET CAP
ALL≥200B50–200B<50B
COLOR BY
UPSIDE TO FVVOLATILITY 30DPRICE 1DREL VOLUMEMARKET CAP$ VOLUME
SECTOR
ALLTECHFINHLTHCOMMCYCINDDEFENGYMATLUTILRE
QUANT // MAPS · REAL DATA · FAIR VALUE ENGINE · QUOTES AS OF 2026-11-13
REAL EST
+8.3%
MEDIAN OF 14
UTILITIES
+4.2%
MEDIAN OF 27
MATERIALS
−20.3%
MEDIAN OF 26
ENERGY
+17.4%
MEDIAN OF 40
CONS DEF
−21.4%
MEDIAN OF 31
INDUSTRIALS
−8.3%
MEDIAN OF 61
CONS CYC
+10.4%
MEDIAN OF 45
COMMS
+24.2%
MEDIAN OF 20
HEALTHCARE
+1.9%
MEDIAN OF 60
FINANCIALS
−11.3%
MEDIAN OF 94
TECHNOLOGY
+11.5%
MEDIAN OF 82
−100%
0% FV
+100%
+200%
+300%
+400%
+500%
+600%
+700%
UPSIDE TO FV
MOST BELOW FAIR VALUE · ALL SECTORS
NAMEUPSIDEPRICE 1DCONF
1 JD+643.6%▼−1.29%MEDIUM
2 EXPE+293.9%▲+0.49%MEDIUM
3 FISV+293.1%▼−3.76%MEDIUM
4 FOXA+259.1%▼−3.34%MEDIUM
5 PDD+248.1%▼−1.87%MEDIUM
6 VG+237.9%▲+4.74%MEDIUM
7 MU+234.7%▼−1.59%MEDIUM
8 NVDA+194.8%▼−4.34%HIGH
9 ADBE+163.7%▲+0.40%MEDIUM
10 HCA+159.4%▼−1.06%MEDIUM
11 BABA+152.8%▼−7.05%MEDIUM
12 GMAB+150.7%▼−3.95%MEDIUM
SELECTION · UPSIDE TO FAIR VALUE
−1.0%MEDIAN OF 500 NAMES
CAP-WEIGHTED+18.4%
RANGE−96.3% – +643.6%
NAMES
BELOW FAIR VALUE246
ABOVE FAIR VALUE254
HIGH CONFIDENCE156
MEDIUM CONFIDENCE292
LOW CONFIDENCE52
The same WebGL terrain that runs on the maps page. Click a name for its card, filter by confidence, or group by the model the engine chose.
13,865
Securities in the universe
5,885
Stocks with a quant score
2,658
Stocks with a fair value
6
Factors built from raw data
Fair value

A fair value built for how each company makes money.

A bank, a utility and a software company shouldn't be valued the same way. The engine picks the model that fits, works out the value, and tells you how much to trust it.

The engine
2,658

stocks valued, each by the model that fits how it makes money. Discount rates are worked out stock by stock.

DCF

Operating companies

Profitable businesses, on analysts’ revenue and margin forecasts when three or more cover them, otherwise their own record.

1,044 stocks
Cyclical DCF

Cyclicals

Companies whose margins swing with the economy. With no analyst coverage, a mid-cycle DCF.

535 stocks
Residual income

Banks and insurers

Lenders and insurers, valued on book value and the return they earn on it.

496 stocks
Forward DCF

Loss-makers

Companies losing money today, valued on where analysts expect revenue and margins to go.

250 stocks
Dividend models

Utilities and REITs

Regulated utilities, property REITs and a few other steady payers, valued on the cash they pay out.

181 stocks
Price to NAV

Investment vehicles

Business development companies and mortgage REITs, valued against their net assets.

71 stocks
Book + excess returns

Ocean shipping

Book value plus the returns analysts expect above the cost of capital.

29 stocks
Earnings DDM

Captive finance, alt managers

Manufacturers with a finance arm, and private-equity and credit managers.

19 stocks
Net asset value

Funds, holding companies

Closed-end funds and holding companies, valued on what they own.

18 stocks
Main listing · deal

Share classes, deals

A second share class takes the main listing’s value; an agreed takeover takes the deal price.

15 stocks
Not valued

638 stocks

Losses with no usable forecast, financial distress or not common equity. The page says why instead of guessing.

Stocks valued by each model, 14 Nov 2026. Bars are relative to the largest group.

Quant score AAPL
71Above average
Valuation36
Growth75
Strength41
Momentum93
Fair value DCF · High confidence
Price
$359.69
Fair value
$244.10
Upside
−32.1%
Fair value
Price
$200$400

The engine's own value, from Apple's cash flows and its own discount rate.

The street Kept separate
Target
$326.86
vs price
−9.1%
Rating
Buy
Altman Z 12.03Piotroski 8/9Beta 1.10

Two opinions side by side. Neither is blended into the other.

High605 stocks

Nearly nine in ten land within ±40% of analyst targets.

Medium1,232 stocks

About six in ten do.

Low821 stocks

Fewer than four in ten do, or the engine flags a weak spot.

Apple (AAPL) on 13 Nov 2026. Confidence rates the method, not the company; agreement with analysts is a yardstick, not proof.

Market maps

The whole market's volatility, as terrain.

450 companies, each raised by its 30-day realised volatility. Ridges are where the market is moving and basins are where it's calm. Every contour comes from real data, nothing smoothed for looks.

Live · drag to rotate
BUILDING TERRAIN
450 companies · 30-day realised volatility
The live WebGL terrain — the same code that runs on the map. Drag to rotate, click a tile for its card, filter with the rails Elevation = 30-day realised volatility, annualised √252
Screener

A screener where every filter actually filters.

Valuation, growth, profitability, leverage, liquidity, technicals and fund details, each tied to stored data and sortable. 10,031 stocks and ETFs.

◆ Screener 6 matches · 13 Nov 2026
Stocks onlyTickers: 6 mega caps Sort: quant score+ every other filter
TickerScorePriceChgP/ETo fair value
META78623.61-0.82%22.8+66.5%
MSFT75523.00+0.36%27.4+26.1%
AMZN73267.44+0.48%20.4+0.4%
AAPL71359.69+1.36%36.1-32.1%
GOOGL70298.70+1.79%16.7+15.5%
NVDA63166.19-4.34%28.4+194.8%
Saved scans Counts from the 9 Sep close
1,798
Above both the 50 and 200-day
1,159
25%+ below fair value
497
Volume at 2× its average
377
Within 2% of the 52-week high
293
RSI below 30
244
Golden cross, last 15 sessions
238
RSI above 70
202
Death cross, last 15 sessions

A golden cross here means the 50-day crossed above the 200-day in the last 15 sessions, not that it simply sits above it.

Chart overlays

Every overlay shows its method.

Six overlays from the stock page, drawn by the same chart code on real tickers where they actually fire. Each panel names its settings, and a level nobody can source doesn't get drawn.

Price & volumeAAPL

Daily candles with the volume histogram on its own scale — the analyze view as it opens

UpDown9 Sep O 315.49 H 319.15 L 309.90 C 315.34

Volume is a separate price scale pinned to the lower 18% of the pane, so a heavy session never rescales the price it belongs to.

Moving averagesAAPL

SMA 20 / 50 / 200, computed over full history rather than the visible window

SMA 20SMA 50SMA 200200-day 284.35 · price 10.9% above

A 65-bar window cannot produce a 200-day average. These are computed on the full series and then clipped to the view, which is why the 200-day line reaches the left edge instead of starting two thirds of the way in.

Bollinger bandsAAPL

20-period SMA with the 1σ, 2σ and 3σ envelopes filled and the mid dashed

±1σ ±2σ ±3σ%B 0.55Bandwidth 0.088

Live signal: bollinger_w_bottom, forming — a lower low in price that held above the lower band. Forming, not fired; the app labels the difference.

Chart patternMETA

Double bottom, 113-bar scope, 65% confidence — forming, not triggered

SupportNecklineTargetStaged 709 / 765 / 821

The raw measured move is the 171.26 pattern height on the 691.52 neckline — 862.78. The app publishes 820.96, that move cut to 80%. It discounts its own target and says by how much.

Price memoryAAPL

Decayed support and resistance bands, plus the point of control

SupportResistancePOC 310.42

Band opacity is the level’s strength, and the 275.62 band carries a flip marker because it used to be resistance. Long-horizon bands are drawn at half weight so a year-old level cannot shout as loudly as last month’s.

RSI & MACDAAPL

Separate panes, as the app stacks them — RSI(14) Wilder, MACD 12/26/9

RSI 49.3MACD 1.799Signal 1.374

Both are off by default. The RSI states its smoothing convention on the page, because a Wilder RSI and a simple-average RSI disagree by several points on the same bars.

Bars through 9 Sep 2026. Apple had no nameable pattern on these bars, so the pattern panel uses Meta. On the stock page the crosshair reads out every value under the cursor.

Analyze report

One click, and the whole write-up.

Trend, structure, pattern, indicators and trigger on one page, the valuation beside them, and a closing paragraph that names what argues against the move as readily as what argues for it.

QUANT // SECURITY ANALYSIS — AAPL · APPLE INC.
NASDAQ · Technology · Daily bars · 501 sessions · Ref QR-AAPL-260909 · Engine output — no LLM authorship
315.34
-0.3% · 2026-09-09
A Channel Up (forming · 55%) projects 356.01 — staged 328.90 / 342.45 / 356.01 against invalidation at 300.86 on a uptrend higher frame.
01Trend
Uptrend
Channel up 240d · channel up 120d
02Structure
Channel Up
60-bar frame
03Pattern
Channel Up
forming · 55% conf
04Indicators
4 / 0
confirm / diverge
05Trigger
Indecision (Doji-Like)
p59 of range
Technical consensus
100
Bullish
6 bull · 0 bear · net +6
ring = conviction
Fair value
269.33
-14.6% vs price · dcf pro
Leading objective · measured move
356.01 +12.9%
300.86315.34 328.90 / 342.45 / 356.01
Pattern quality
55
Moderate class
forming
03ConfluenceDeterministic
The 341–348 resistance memory band (strength 100) sits inside the measured move — expect friction before 356. Street consensus 339 lands inside the staged path — the engine path stays inside the street high (400). Fair value 269 argues against the move (-14.6% vs price). Price sits +10.9% above its 200-day mean — not extended; the full measured move is a fair reference. Invalidation 301 is defended by the 297–305 support band directly beneath.
The report's own header block, spine and instrument row — the same layout the app renders, on the same engine output Research and education · not investment advice
Horizon of Price Memory

Support and resistance, decayed by turnover.

Most tools draw a line where price bounced once. This maps everywhere the market actually traded and lets old levels fade with turnover, not the calendar. Every band says what built it.

AAPLDaily · 1 year · 501 bars in the field $315.34 POC 310.42
225250275300325350300.86support 300.86 · 8 touches · last 19 bars ago275.62 ↻ was resistancesupport 275.62 · 14 touches · last 52 bars ago344.44resistance 344.44 · 3 touches · last 29 bars ago225.92support 225.92 · 14 touches · last 250 bars ago316.92resistance 316.92 · 6 touches · last 13 bars agoTP1 328.90TP2 342.45TP3 · measured move 356.01MEMORY DENSITY →Sep 2025Sep 2026
Close Support band Resistance band Point of control Staged target Decay half-life 126 turnover days · bandwidth ±$3.70
◆ Where the analyze view takes it Channel up · forming · 55%
TP3 · measured move+12.90%$356.01
TP2+8.60%$342.45
TP1+4.30%$328.90
Last close—$315.34
Invalidation−4.59%$300.86
Reward to risk40.67 ÷ 14.482.81

The invalidation isn't a round number someone picked — it is the 300.86 support band above, the strongest short-horizon level in the field. Reward-to-risk on that pair is 2.81, and the tool prints the ratio rather than only the upside.

◆ What has to be true Trade setups
Channel-up measured moveR:R 2.81 · forming
Anchored VWAP uptrendR:R 0.09 · active

Two setups, and the tool publishes the bad one too. The anchored-VWAP entry sits 18 cents above its own stop, so its reward-to-risk is 0.09 — a ratio that says don't. Filtering it out would have made the screen look better and the research worse.

Research and education. Not investment advice, and not a recommendation to buy or sell anything.

◆ The five strongest bands AAPL · 9 Sep 2026
LevelRoleTouchesLast touchBuilt fromHistory
$344.44▼ resistance329 barspivots · extreme · roundresistance
$316.92▼ resistance613 barspivots · volume · roundresistance
$300.86▲ support819 barspivots · volume · roundmixed
$275.62▲ support1452 barspivots · volumeflipped from resistance
$225.92▲ support14250 barspivots · volume · extrememixed

Built on published research: Osler (2000, 2003), Kavajecz & Odders-White (2004), Grinblatt & Han (2005), George & Hwang (2004) and Donaldson & Kim (1993).

Rotation & breadth

Where the market is moving, sector by sector.

Median one-month return for each sector. The median, so one giant can't carry a whole sector.

◆ Sector rotation · median 1-month return 9 Sep 2026
-8%-4%0%+4%+8%Energy▲ +7.94%Energy: median 1-month return +7.94% across 269 stocksBasic Materials▲ +0.43%Basic Materials: median 1-month return +0.43% across 269 stocksFinancial Services▼ −0.10%Financial Services: median 1-month return −0.10% across 1307 stocksHealthcare▼ −0.79%Healthcare: median 1-month return −0.79% across 1085 stocksUtilities▼ −1.25%Utilities: median 1-month return −1.25% across 135 stocksReal Estate▼ −2.95%Real Estate: median 1-month return −2.95% across 269 stocksCommunication Services▼ −3.92%Communication Services: median 1-month return −3.92% across 241 stocksConsumer Defensive▼ −4.13%Consumer Defensive: median 1-month return −4.13% across 240 stocksTechnology▼ −4.95%Technology: median 1-month return −4.95% across 811 stocksIndustrials▼ −5.60%Industrials: median 1-month return −5.60% across 711 stocksConsumer Cyclical▼ −6.38%Consumer Cyclical: median 1-month return −6.38% across 526 stocks
Advancing vs declining
1,957 / 3,637
35.0% advancing on the session
Above the 200-day average
2,705 of 5,410
50.0% · 475 stocks have too little history to say
Forecasting

A range and its odds, not a price target.

For about 3,500 US stocks, a four-step model estimates where the price could be in 26 weeks, how likely each outcome is, and the probability-weighted value. We tested it on 352,191 historical forecasts and publish the misses next to the passes.

STEP 01

Factor regression

Measures how each stock moves with six market-wide factors (market, size, value, profitability, investment, momentum) and how much it moves on its own.

STEP 02

Bootstrap simulation

Simulates possible 26-week paths for those factors by resampling real market history in blocks, so streaks and crashes stay in.

STEP 03

Monte Carlo

Combines each stock's exposures with the shared paths and adds a stock-specific shock sized to its own volatility.

STEP 04

Scenarios and value

Reads the simulated outcomes as a price range, the chance of each return zone, and a probability-weighted expected value.

◆ Model output · AAPL · 26 weeks from the 25 Sep 2026 close
90% range
$261
$493
Last close
$341.07
Median
$360
Expected value
$367 +7.6%
90% range
$261–$493
Chance of each outcome
Below −20%7.6%
−20% to −5%21.1%
−5% to +5%19.4%
+5% to +20%27.0%
Above +20%24.9%

Over 12 months the expected value is $390 (+14.3%) against an analyst median target of $362. The model gives a 55% chance of finishing above that target. The expected value sits above the median because compounding skews outcomes to the right.

◆ Backtest · 352,191 forecasts Jan 2018 – Mar 2026
TestAll stocksLarge caps
Outcomes inside the 90% range89.0%pass91.0%pass
Outcomes inside the 95% range93.2%miss95.0%pass
Same 90% test, own-history shortcut75.1%miss—
Beats a market-only versiontietie
Stock-specific alpha adds accuracynono

The pass/fail rules were written before the test ran, and the test data was used once. Delisted stocks are included. The miss on the 95% range is small-cap crash risk: drops below the range came 3.7% of the time instead of 2.5%. A market-only version did just as well, so that simpler model is the one going into the live test.

◆ Factor library vs the published Kenneth French series · correlation weekly · Sep 2023 – Aug 2026
Market
0.999
Size
0.980
Investment
0.957
Momentum
0.954
Value
0.950
Profitability
0.864

The six factors are rebuilt from raw prices and filings, not downloaded. Backtested results are hypothetical: they show how the model would have done, not a live track record. Research and education — not investment advice.

Inside the app

The markets page and the stock page.

Markets is the first screen after you sign in, and the stock page is where every ticker lands. Captured from the app on 30 Sep 2026; scroll inside a frame to see more.

◆ Markets · indices, sectors and breadth screenshot · 30 Sep 2026
The Quant Research Markets page: index cards for the S&P 500, Nasdaq, Russell 2000 and Dow, an S&P 500 candlestick chart, one-day sector returns and market breadth.
◆ Stock page · Apple (AAPL) · overview screenshot · 30 Sep 2026
The Quant Research stock page for Apple: price chart with moving averages, return strip, valuation, quality and growth metrics, score summary, technicals, volatility and drawdown.
Fundamentals

Twelve quarters, straight from the filings.

Revenue, margins, earnings, cash flow, dividends and share count, quarterly or annual. Apple below, drawn by the stock page's own chart code.

Period QuarterlyAnnual

EPS

$0.0$0.5$1.0$1.5$2.0$2.5$3.0Sep'23Jun'24Mar'25Dec'25

Revenue

050.0B100.0B150.0B0%5%10%15%20%Sep'23Jun'24Mar'25Dec'25

Free cash flow

010.0B20.0B30.0B40.0B50.0B60.0BSep'23Jun'24Mar'25Dec'25

Earnings surprise

-5%0%5%10%15%Jan'22Feb'23Feb'24Jan'25Jan'26

Revenue & gross profit

050.0B100.0B150.0BSep'23Jun'24Mar'25Dec'25RevenueGross Profit

Shares outstanding

05.00B10.00B15.00B20.00BSep'23Jun'24Mar'25Dec'25

Dividends

$0.00$0.05$0.10$0.15$0.20$0.25$0.30Nov'21Feb'23May'24Aug'25

Operating margin

0%10%20%30%40%Sep'23Jun'24Mar'25Dec'25

Every card opens full-screen with the full history the plan allows, and the axis is left alone: the one red bar on Earnings surprise is a real 2.6% miss in February 2023, and Apple's June-2026 quarter is the last one that has reported — the unreported quarter after it is absent rather than drawn as a zero.

Crypto

Twelve crypto assets, the same chart engine.

The same charts and indicators, and the same honesty about partial bars: the 30-day change is measured to the last complete day, never a half-formed one.

AssetLast close30-dayBasis
BTC$78,447.11▲ +21.0%Bitcoin · last complete daily bar
ETH$2,485.02▲ +30.2%Ethereum · last complete daily bar
SOL$103.37▲ +35.6%Solana · last complete daily bar
XRP$1.42▲ +37.7%XRP · last complete daily bar
DOGE$0.09▲ +30.1%Dogecoin · last complete daily bar
Coverage

13,865 securities, broken out by type.

One big number would hide what you actually get, so here it is by instrument.

InstrumentCountQuant scoreFair valueWhat you get
Stocks6,2965,8852,658Score, sub-scores, a fair value where a model qualifies, full technicals
ETFs3,735Not scoredNot valuedHoldings, expense ratio, AUM, sector mix and technicals. An equity score on a fund would mean nothing, so we don't publish one
Mutual funds3,834Not scoredNot valuedQuotes and profile only. They don't trade on an exchange, so we don't count them as listed

Counted 13 Nov 2026. A stock the engine can't value with confidence reads not valued, never a placeholder number.

The standard

The rules we build to.

Four rules every page follows.

01

A number we can't source doesn't ship

Where a value is missing the page says "not reported" or "not valued" and never fills the gap with a default.

02

Nothing here is written by a language model

Scores, values, indicators and patterns are computed from stored market and filing data. Commentary, where it appears, is labelled as commentary.

03

Every figure carries its date

Prices are stored daily closes refreshed each session, not a live feed, and the page tells you which session you're reading.

04

We describe, we don't advise

No buy or sell ratings, no targets of our own, no personalised guidance. The tool measures; what you do with it is yours.

The Quant emitter · live three.js

Research you can audit.

A quant score on 5,885 stocks, a fair value on 2,658 of them, and a methodology page that matches the code.

Free during beta. No card required.