APLD: Double Bottom detected on 29 Oct 2026

All prices, scores, and news on this page reflect data available before market open on .

Browse all Double Bottom detections →

On 29 Oct 2026, our scan flagged APLD as a double bottom setup scoring 71 out of 98 (Good tier), with a 67% win probability based on our historical pattern database and a 0.36 to 1 risk to reward profile from the published levels. This is a swing trade setup: win probability reflects a multi-day swing hold, not an intraday move. At $20.39, the conservative target is $21.42 with a stop at $17.50. A further breakout above resistance near $33.04 offers a larger move if momentum continues past the initial target.

Overall Score
71 of 98
Good
Win Probability
67%
Moderate
Trade R:R
0.36 : 1
$1.03 to target $2.89 to stop
Swing Trading Plan
Entry
$20.39
Target
$21.42
Stop Loss
$17.50
Holding Period
2-8 trading days
Expected Return
+$0.13
Exp. Reward
+$0.54
Exp. Risk
-$0.41

Expected figures are probability-weighted from our historical pattern database; Trade R:R is measured from the entry, target and stop levels.

Current Setup
APLD is forming a double_bottom reversal pattern with a three_white_soldiers confirmation (formed Oct 26). The structure score of 15/15 and volume score of 12/12 indicate textbook pattern quality. Current price at $20.39 sits 16.51% above the 52-week low of $17.65 (key support). The breakout score of 13/13 and overall score of 71 suggest clean technical setup. Resistance lies at $33.04. Current volume of 29.3M shares runs 1.03x the 20-day average—adequate confirmation for the pattern.
Stock Context
Wall Street consensus is Strong Buy with average price target of $55.67, indicating 162% upside potential. Roth Capital analyst Bryan Baratian resumed coverage on Oct 21 with a Buy rating and $35 price target, predicting 65% upside, citing transition to "delivering computing capacity." Applied Digital announced a strategic partnership with Soluna on Oct 21 to develop a 50 MW AI/HPC data center in Texas. The company posted its strongest quarter in history, yet the stock cratered over 30% immediately after earnings. Co-founders Wes Cummins and Jason Zhang bought roughly $6.7 million in shares as the stock hit its one-year low—insider accumulation at depressed valuations.
What to Expect
A successful breakout above the $33.04 resistance would target a conservative measured move of $21.42, implying 5% upside from current price—though historical pullback patterns in APLD suggest larger moves are possible given the sector momentum. The 66.53% win probability indicates better-than-coin-flip odds. Invalidation occurs below $17.65 (the key support/52-week low); a break below this level would void the double-bottom structure and suggest continuation of the downtrend. Volume should remain near or above current 1.03x relative level to confirm sustained buying.
Risk Factors
APLD carries extreme volatility and leverage: beta of 2.58 and 20-day volatility at 91.79% mean price swings are nearly 3x the broader market. RSI at 43.97 shows neutral positioning—not overbought, yet room for further deterioration. Market sentiment has been shaped by financing concerns and risk-off rotation in AI infrastructure stocks. The stock has declined 19.76% in one month and 27.1% over three months despite positive earnings and analyst upgrades—signaling structural headwinds in capital allocation within the sector. Short sellers have accumulated significant positions (references to $6B betting against AI infrastructure stocks) and elevated options volatility suggests event-driven risk around funding announcements or power supply execution.
How We Find and Score This Setup
We scan more than 6,000 NYSE and NASDAQ stocks every trading day and compare each detected pattern against a database of 370,000+ historical detections. Every setup is scored across three dimensions: Structure, Volume, and Breakout Readiness. Win probability is a calibrated estimate of how similar historical setups performed over the following 10 trading days. This is a swing trading tool built for multi-day holds. It is not built or tested for day trading.
Frequently Asked Questions
Is APLD a good swing trade?
APLD scored 71 out of 98 on our double bottom scan, with a 67% historical win probability over a 2-8 trading days hold. Good setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $20.39, with a conservative target of $21.42 and a stop loss at $17.50.
What would invalidate this double bottom setup?
A close below the stop loss at $17.50 would invalidate the setup and suggest the pattern has failed.
How is the win probability calculated?
Win probability is a calibrated estimate of how similar historical double bottom setups performed over the following 10 trading days, drawn from a database of 370,000+ historical pattern detections across 6,000+ NYSE and NASDAQ stocks.
Market & Sector Regime
Market
Bullish 0.21
-1.0 0 +1.0
Technology Sector
Bullish 0.53
-1.0 0 +1.0
Other Patterns Detected Today
Three White Soldiers
3 days in pattern
Good 32.5
Overall Score
40 of 40
Exceptional
Pattern Quality
12 of 20
Moderate
Setup
11 of 20
Fair
R/R
8 of 18
Weak
Context
Pattern Quality Score
15 of 15
Exceptional
Structure
13 of 13
Exceptional
Breakout
12 of 12
Exceptional
Volume
Recent Performance
-2.8%
1W
+0.3%
2W
-19.8%
1M
-27.1%
3M
Momentum & Trend
RSI (14)
44.0
Neutral
MACD Histogram
-0.02
Bearish
Bollinger Band Position
39.2%
Mid Zone
Volatility & Risk
20-Day Volatility
0.92
Very High
ATR %
8.9%
High
Beta
2.58
High Beta
Volume Analysis
Volume Ratio
1.03x
Average
20-Day Avg Vol
28.5M
shares / day
Current Volume
29.3M
shares traded
Price Levels
52W High
$50.72
Resistance
$33.04
Target
$21.42
Current
$20.39
Support
$17.65
52W Low
$17.50
Stop Loss
$17.50
Disclaimer: This analysis is algorithmically generated for educational purposes only and does not constitute financial advice. Past pattern performance does not guarantee future results. Win probabilities are based on historical data across 370,000+ observations. Always conduct your own research and consult a qualified financial advisor. AI-assisted contextual analysis by Claude (Anthropic). Indicators reflect values at time of detection.