Skip to main content
Free trial

Ask AI to review this stock

Copy the prompt to get recent events, historical reactions, and a short research brief.

Tell your AI:

Help me set up FinLab and analyze WOLF Wolfspeed Inc.. Please read: https://finlab.finance/en/setup?stock=WOLF

WOLF

Wolfspeed Inc. Technology As of 2026-07-31 Updated daily after market close

quality needs a look, fair valuation.

This page refreshes daily after the close. Add Wolfspeed Inc. to your watchlist to track signal changes on your next visit.
Valuation 44Quality 10Growth 40Momentum 54Risk / liquidity 46

Is Wolfspeed Inc. a buy? Fundamentals and valuation first

  • Quality is weaker than peers. Operating margin is only around the 11th percentile. TTM ROE is about -155.0%.

  • Valuation is middle-of-pack. TTM P/E is near the 36th percentile.

  • Recent volatility is elevated. 60-day annualized volatility is in the 94th percentile. Average 20-day dollar volume is about $114.2M.

  • Signals are active now. Top-quintile 6-month momentum currently holds; the tables below show what followed in this stock’s own history.

Historical evidence

Signals active now

Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.

Top-quintile 6-month momentum

Active · now 85.1063829787234%

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

21 historical occurrences (since 2017-10-18)
Average forward return after Top-quintile 6-month momentum。20-day: Win 60%, Sample 20, Median +6.34%, Excess +1.97%, Beat mkt rate 60%;60-day: Win 30%, Sample 20, Median -9.43%, Excess -7.19%, Beat mkt rate 30%;120-day: Win 31.6%, Sample 19, Median -14.23%, Excess -12.07%, Beat mkt rate 36.8%

120 days after: historical avg -7.12%

20-day +4.02%
60-day -3.36%
120-day -7.12%
20-day
60-day
120-day
Win
60%
30%
31.6%
Sample
20
20
19
Median
+6.34%
-9.43%
-14.23%
Excess
+1.97%
-7.19%
-12.07%
Beat mkt rate
60%
30%
36.8%

Over 19 occurrences, 120-day forward avg declined 7.12%, lagged the market by 12.07 pts; win rate 31.6%.

Market-wide momentum baseline

Across 97,878 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.26%, a 58.3% positive-return rate, and +2.90 percentage points of average excess return versus the S&P 500.

Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).

Signals not active now

Inactive signals still show the stock-specific historical forward-return distribution for context.

52-week adjusted-price high

Pending

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

14 times historically; 60-day forward avg +4.04%, win rate 64.3%, beating the market by +0.31 pts on average.

Filed revenue acceleration

Pending

TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.

6 times historically; 60-day forward avg +23.08%, win rate 50%, beating the market by +22.63 pts on average.

EPS surprise beat

Pending

Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.

27 times historically; 60-day forward avg -3.8%, win rate 50%, beating the market by -8.24 pts on average.

Method and limits

  • Returns use us_price:adj_close, adjusted for splits and dividends where available.
  • Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
  • Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
  • The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
  • Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
  • Overlapping event windows are descriptive distributions, not independent samples.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.