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Find the best stocks in your watchlists, in seconds. Polydesk ranks your watchlists by valuation, momentum, or mean reversion and more.

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Explainable rankings Relative valuation Momentum & mean reversion Risk-aware exclusions Adjustable factor weights

Fictional data · real ranking logicIllustrative watchlist · 8 companies

Choose your strategy

Lowest relative valuation multiples rank first.

Relative valuationMomentumMean reversion

All 8 companies shown · click headers to sort · scroll horizontally for all factors.

Relative valuation — fictional values, not current market data
							Score / 100
ORCLOracle	10.2×	9.1×	28.4×	25.1×	22.8×	25.1×	Run strategy
TSMTSMC	9.0×	8.4×	22.1×	19.7×	18.6×	19.7×	Run strategy
FIGFigma	14.1×	13.0×	39.2×	35.4×	38.2×	31.5×	Run strategy
NVDANvidia	18.1×	15.9×	45.2×	39.5×	40.9×	36.4×	Run strategy
AMDAMD	12.4×	11.2×	34.5×	31.2×	—	29.4×	Run strategy
MSFTMicrosoft	12.2×	11.1×	31.0×	28.2×	30.5×	28.4×	Run strategy
AVGOBroadcom	14.0×	12.5×	35.6×	32.1×	34.8×	30.2×	Run strategy
ADBEAdobe	10.8×	9.8×	29.1×	26.5×	26.3×	26.8×	Run strategy

Method, weights & definitions

Same percentile-ranking engine as the app. Scores compare eligible companies in this sample, not the whole market. No quality or risk bonus is applied.

Each factor is ranked from 0 to 100, then multiplied by its weight. Lower values score higher for valuation and mean reversion; higher returns score higher for momentum. Ties share a rank. Scores are rounded for display.

LTM EV / Revenue: 16.67%
NTM EV / Revenue: 16.67%
LTM EV / EBITDA: 16.67%
NTM EV / EBITDA: 16.67%
NTM P/E: 16.66%
NTM Market cap / FCF: 16.66%

Missing data: valuation requires all six positive multiples; momentum needs at least two returns; mean reversion needs three factors. Available weights are renormalized when a factor is missing.

LTM = last 12 months; NTM = next 12 months; EV = enterprise value; Market cap / FCF = equity market value divided by free cash flow. A mixed-sector sample illustrates the interface, not a recommended peer group.

Ranked opportunities

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Relative scores are not probabilities or investment ratings. Fictional values — not current market data or investment advice.

Analyze your own watchlist

A clearer research loop

Start with what deserves attention.

Most platforms give you more fields to filter. Polydesk.AI starts one step later: with a reasoned shortlist you can challenge, compare, and turn into a thesis.

Your chosen strategy is applied.

Select relative valuation, momentum, or mean reversion, then apply your chosen risk and quality rules.

Every opportunity earns its rank.

See the factors that helped, the risks that excluded peers, and the strategy behind every score.

Research continues in context.

Compare companies, run focused AI analysis, capture notes, and monitor the signal without rebuilding your workflow.

One connected workspace

Less filtering. More deciding what to research next.

DiscoverRanked ideas across the companies you already follow.

ValidateTransparent factors, exclusions, and relative comparisons.

MonitorReview watchlist changes and insider signals after refreshes.

RememberNotes and AI history stay attached to the company context.

A second perspective

Ask the AI you already use about Polydesk.

Open a prepared question about how Polydesk ranks watchlists—and where it fits in an investor's research workflow.

Prepared questionPublic product information only

Review the official Polydesk investment-research product page at https://polydesk.ai/ Explain what the product does for independent investors, who it is for, and how it ranks watchlists by valuation, momentum, or mean reversion. Separate facts stated on the page from your assessment, cover the current beta limitations, and say clearly if you cannot access the page. Do not confuse it with another product named Polydesk and do not give personalized investment advice.

Opens a third-party AI in a new tab. The question may be sent immediately or require sign-in; responses can be incomplete or inaccurate.

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Relative valuation — fictional values, not current market data

Score / 100

ORCLOracle

10.2×

9.1×

28.4×

25.1×

22.8×

25.1×

Run strategy

TSMTSMC

9.0×

8.4×

22.1×

19.7×

18.6×

19.7×

Run strategy

FIGFigma

14.1×

13.0×

39.2×

35.4×

38.2×

31.5×

Run strategy

NVDANvidia

18.1×

15.9×

45.2×

39.5×

40.9×

36.4×

Run strategy

AMDAMD

12.4×

11.2×

34.5×

31.2×

—

29.4×

Run strategy

MSFTMicrosoft

12.2×

11.1×

31.0×

28.2×

30.5×

28.4×

Run strategy

AVGOBroadcom

14.0×

12.5×

35.6×

32.1×

34.8×

30.2×

Run strategy

ADBEAdobe

10.8×

9.8×

29.1×

26.5×

26.3×

26.8×

Run strategy