WULF: Double Bottom detected on 26 Oct 2026

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On 26 Oct 2026, our scan flagged WULF as a double bottom setup scoring 68 out of 98 (Moderate 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 $11.32, the conservative target is $11.89 with a stop at $9.72. A further breakout above resistance near $18.08 offers a larger move if momentum continues past the initial target.

Overall Score
68 of 98
Moderate
Win Probability
67%
Moderate
Trade R:R
0.36 : 1
$0.57 to target $1.60 to stop
Swing Trading Plan
Entry
$11.32
Target
$11.89
Stop Loss
$9.72
Holding Period
2-8 trading days
Expected Return
+$0.07
Exp. Reward
+$0.30
Exp. Risk
-$0.23

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

Current Setup
TeraWulf forms a double bottom chart pattern at 10.35 support with current price near 11.32, positioned 9.37% above its 52-week low. The pattern structure scores a perfect 15.0 with strong volume confirmation (12.0 out of 12) and solid breakout quality (13.0 out of 13), reflecting textbook pattern formation. Overall score of 68.0 indicates a mature, tradeable setup. RSI at 34.86 shows oversold conditions, supporting potential reversal. Conservative target sits at 11.89, just 5% above current levels, with resistance at 18.08.
Stock Context
TeraWulf recently expanded its revolving credit facility to $400 million as of October 23, 2026, bolstering liquidity for data center expansion. The company continues shifting from bitcoin mining to AI/HPC infrastructure, anchored by a 20-year Anthropic lease generating approximately $19 billion in contracted revenue. Q2 2026 revenue of $44.8 million trailed expectations slightly, reflecting ongoing build-out phase. Morgan Stanley reiterated an Overweight rating with a $65 target on October 19, 2026, implying 475% upside; TD Cowen launched coverage with a Buy rating. The Kentucky Public Service Commission approved 482 MW of power for Justified Data Campus in August 2026. Q3 earnings are scheduled for November 6, 2026, offering near-term catalyst.
What to Expect
A successful double bottom breakout above 11.89 would target the neckline resistance near 18.08, representing measured move potential of approximately 60% from current levels. Win probability of 66.53% suggests pattern reliability. Volume confirmation needed at breakout levels; current volume ratio of 0.95x is slightly below average but acceptable. Invalidation occurs at key support of 10.35—a close below this level negates the double bottom thesis and signals breakdown risk. The pattern's high structure and volume scores (15.0 and 12.0) support mean-reversion credibility.
Risk Factors
Stock has declined 30.51% over one month and 37.04% over three months, showing severe recent weakness despite bullish sector regime. High beta of 2.41 amplifies volatility; 20-day volatility of 84.97% indicates extreme price swings. MACD histogram at -0.1292 remains negative, suggesting momentum has not yet turned. Recent analyst downgrade: Cantor Fitzgerald cut price target from $37 to $30 on October 16, 2026, contradicting bullish calls. Execution risks remain material—Q2 revenue miss signals challenges ramping infrastructure. Upcoming Q3 earnings on November 6 could deliver negative surprises. Market regime score of -0.2 reflects neutral to weak macro backdrop, potentially limiting upside follow-through despite sector strength.
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 WULF a good swing trade?
WULF scored 68 out of 98 on our double bottom scan, with a 67% historical win probability over a 2-8 trading days hold. Moderate setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $11.32, with a conservative target of $11.89 and a stop loss at $9.72.
What would invalidate this double bottom setup?
A close below the stop loss at $9.72 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
Neutral -0.20
-1.0 0 +1.0
Finance Sector
Bullish 0.64
-1.0 0 +1.0
Overall Score
40 of 40
Exceptional
Pattern Quality
9 of 20
Weak
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
-3.1%
1W
-17.8%
2W
-30.5%
1M
-37.0%
3M
Momentum & Trend
RSI (14)
34.9
Neutral
MACD Histogram
-0.13
Bearish
Bollinger Band Position
13.3%
Lower Zone
Volatility & Risk
20-Day Volatility
0.85
Very High
ATR %
9.7%
High
Beta
2.41
High Beta
Volume Analysis
Volume Ratio
0.95x
Average
20-Day Avg Vol
38.1M
shares / day
Current Volume
36.3M
shares traded
Price Levels
52W High
$29.84
Resistance
$18.08
Target
$11.89
Current
$11.32
52W Low
$10.35
Support
$10.35
Stop Loss
$9.72
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.