52-week adjusted-price high
ActiveAdjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.
Copy the prompt to get recent events, historical reactions, and a short research brief.
Tell your AI:
Help me set up FinLab and analyze APGE Apogee Therapeutics, Inc.. Please read: https://finlab.finance/en/setup?stock=APGE
discounted valuation.
Valuation is cheaper than most peers. TTM P/E is in the 8th percentile, lower than most liquid US common stocks.
Recent volatility is elevated. 60-day annualized volatility is in the 87th percentile. Average 20-day dollar volume is about $170.8M.
Signals are active now. 52-week adjusted-price high, Top-quintile 6-month momentum currently holds; the tables below show what followed in this stock’s own history.
This page refreshes daily after the close. Add Apogee Therapeutics, Inc. to your watchlist to track signal changes on your next visit.
Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.
Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.
The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.
Across 97,637 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.19%, a 58.1% positive-return rate, and +2.83 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).
Inactive signals still show the stock-specific historical forward-return distribution for context.
TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.
Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.
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.