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
Shopify is forming a post-collapse recovery pattern at $107.98, positioned 14.87% above its 52-week low but still 40.73% below the 52-week high. The structure score of 12.35/15 and breakout score of 11.2/13 indicate a moderately sound setup with clear definition. Key support sits at $96.00 (11.1% below current price), while resistance is at $124.62 (15.4% above). Volume ratio of 0.98 shows near-average trading activity. RSI at 46.2 suggests the stock is neither overbought nor oversold, positioning it in neutral territory for potential recovery continuation.
Stock Context
Shopify has struggled significantly in 2026, down 7.54% over three months despite a modest 2.83% gain in the past month. The stock remains in a long-term downtrend, off 40%+ from its peak. The Technology sector and Software subsector both show bullish regimes (0.51 and 0.47 scores respectively), providing tailwinds for a potential rebound. The post-collapse recovery pattern is emerging as the stock attempts to stabilize after a severe drawdown—this recovery phase often occurs when a company begins to address the fundamental issues that caused the original decline, though without recent confirmed catalysts visible in public news flow, the timing of this recovery remains uncertain.
What to Expect
A successful breakout would see Shopify overcome the $124.62 resistance level, targeting a conservative measured move to $113.42 (4.9% upside from current price). The 68.8% win probability score suggests historical reliability of this pattern type. Volume confirmation would be critical at resistance—a breakout should demonstrate above-average volume relative to the current 0.98 ratio. The setup invalidates below $96.00 support, which would represent a 11.1% downside risk and signal failure of the recovery attempt. ATR-based volatility of 5.34% indicates moderate daily price swings typical for tech-sector recovery phases.
Risk Factors
Shopify carries elevated beta of 1.27, amplifying broader market volatility and downside risk in tech selloffs. The MACD histogram at -0.0993 shows lingering negative momentum despite recent stabilization, suggesting recovery remains tentative. The stock's 40% underperformance versus its 52-week high reflects serious fundamental concerns that may not be resolved by technical recovery alone. Negative recent performance (down 1.42% over two weeks) and weak volume (0.98 ratio) suggest institutional conviction remains muted. Tech sector revaluation risks, elevated interest rates impacting software valuations, and e-commerce slowdown concerns present ongoing headwinds. Without confirmed positive catalysts (earnings beats, product innovation, guidance raises), this recovery pattern operates in a vacuum of fundamental support.
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 SHOP a good swing trade?
SHOP scored 66 out of 98 on our post collapse recovery scan, with a 69% historical win probability over a 2-7 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 $107.98, with a conservative target of $113.42 and a stop loss at $101.43.
What would invalidate this post collapse recovery setup?
A close below the stop loss at $101.43 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 post collapse recovery 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.