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Key takeaway:
(APLD.O) is caught in a tug-of-war between strong fundamental indicators and conflicting analyst sentiment, while recent technical patterns remain indecisive.Analysts have issued a mixed bag of ratings for APLD.O in recent weeks. The simple average rating is 4.75 (on a 1–5 scale), while the historical performance-weighted rating is 2.97, indicating a more cautious outlook when accounting for past performance. These scores show a significant gap, with strong buy ratings (6 out of 8) but poor historical performance from some firms—like Craig-Hallum, which has a 0.0% win rate and negative average returns.
The ratings are not consistent, with analysts ranging from "Strong Buy" to "Buy," and firms like Needham, HC Wainwright & Co., and JMP Securities contributing to the high end of the spectrum.
Applied Digital’s fundamentals are showing strong underlying value, highlighted by:
Despite mixed earnings, the model highlights several positive valuation ratios and strong balance sheet indicators, particularly in the PB and GPM categories.

Technical indicators for APLD.O are mixed but trending toward moderate neutrality. The technical score is 6.02 (internal diagnostic score), reflecting 3 bullish and 1 bearish indicator in the last 5 days.
The Bearish Engulfing and WR Oversold patterns have the highest scores at 8.0 and 7.27 respectively (both internal diagnostic scores), suggesting strong bullish momentum in some candlestick setups. Conversely, the Dark Cloud Cover has a very low score of 1.0 (internal diagnostic score), reinforcing bearish concerns.
Actionable takeaway: Investors should consider waiting for a pull-back or clearer technical confirmation before entering long positions. While fundamentals and some technicals are favorable, the current price trend (-13.68%) and conflicting analyst ratings suggest volatility ahead. Watch the March 2026 earnings report for a more defined direction.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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