Swing Trading Plan
Holding Period
2-7 trading days
Expected figures are probability-weighted from our historical pattern database; Trade R:R is measured from the entry, target and stop levels.
Current Setup
LFUS is forming a volatility compression pattern at $479.82, positioned just 4.15% below its 52-week high of $500.57. The structure score of 15.0 and breakout score of 12.0 indicate a well-defined compressed range with clear resistance at $500.57 and support at $430.01. Volume is elevated at 1.66x average (509,989 shares), suggesting institutional accumulation. RSI at 58.58 sits comfortably mid-range, avoiding overbought conditions. The overall score of 74 and 66.33% win probability reflect a quality setup primed for directional resolution.
Stock Context
Littelfuse reported strong Q1 2026 results with net sales of $657 million (+19% YoY), adjusted EPS of $3.31, and operating margin expansion of 270 basis points. Hedge fund ownership increased to 43 portfolios in Q1 from 32 in the prior quarter, signaling institutional confidence. The company held an Investor Day on May 14, 2026, where CEO Greg Henderson presented the 2030 Ambition strategy and growth drivers. These positive catalysts—beat earnings, margin expansion, and institutional accumulation—are driving the current uptrend that has produced a 44.43% gain over three months. The compression pattern reflects consolidation at elevated valuations as markets digest the company's execution and strategic positioning.
What to Expect
A successful breakout above $500.57 resistance would target the conservative measure of $493.25 (though this appears inverted relative to resistance, suggesting upside targets may extend higher). Volume confirmation is essential—the current 1.66x relative volume must sustain or increase on breakout. Invalidation occurs decisively below the $430.01 support level, representing approximately 10.4% downside risk. The 66.33% win probability indicates slightly better than 2:1 odds of upside resolution, favoring a breakout scenario over a breakdown.
Risk Factors
The Energy sector is in a bearish regime with -0.29 regime score, creating headwind despite the stock's bullish micro setup. Beta of 1.22 indicates above-market volatility that could amplify losses if sector weakness accelerates. An insider departure occurred when Ryan K. Stafford, Executive Vice President of M&A and Chief Legal Officer, separated April 30, 2026, and had sold 2,000 shares in December 2025, representing 11% of his holding—the largest insider sale in three months. While insiders collectively bought $2.0M more than they sold over 12 months, the leadership change warrants monitoring. MACD histogram is negative (-1.6007), suggesting momentum may be cooling. No imminent earnings date identified, reducing near-term catalyst risk, but compression patterns can break either direction—patience for volume confirmation is critical.
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 LFUS a good swing trade?
LFUS scored 74 out of 98 on our volatility compression scan, with a 66% historical win probability over a 2-7 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 $479.82, with a conservative target of $493.25 and a stop loss at $458.23.
What would invalidate this volatility compression setup?
A close below the stop loss at $458.23 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 volatility compression 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.