Week Ending March 28, 2026: What the AI Scanner Saw
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This week painted a clear picture for our AI scanner: risk-off conditions are firmly in place, and patience is the name of the game. While retail traders might be tempted to chase breakouts or catch falling knives, our systematic approach kept us safely on the sidelines.
The S&P 500 (SPY) closed the week below its 200-day moving average, triggering our scanner's protection mode. This isn't just a technical hiccup—it's a fundamental shift in market character that demands respect. When markets turn defensive, even the strongest setups can fail, which is why our AI maintains strict regime-based filters. Better to miss a few winners than to get caught in a broader market downdraft.
The silver lining? Our scanner continues to identify pockets of relative strength, giving us a roadmap for when conditions improve. These stocks are building the foundation for the next risk-on cycle, whenever that may arrive.
Top Relative Strength Performers
Despite the challenging environment, three names stood out for their resilience:
Dell Technologies (DELL) topped our relative strength rankings with a score of 67. At $171.81, the stock shows impressive technical structure with our AI targeting $214.85 as the first profit level—a solid 1.62 risk-reward ratio. Dell's enterprise computing dominance and AI infrastructure play continue to attract institutional interest, even as broader tech struggles.
Cloudflare (NET) earned a score of 63, holding steady at $203.02. The cybersecurity and edge computing leader maintains its premium valuation for good reason, with our scanner identifying potential upside to $265.46. That's another 1.62 R:R setup waiting for the right market conditions.
Fastly (FSLY) rounded out the top three with a score of 66 at $27.43. The content delivery network has been beaten down severely over the past year, but technical patterns suggest institutional accumulation. Our target of $39.28 represents meaningful upside potential with a 1.63 risk-reward profile.
Notice the consistency in these R:R ratios—this isn't coincidence. Our AI calibrates position sizing and targets based on current volatility conditions, ensuring consistent risk management across all setups.
Signal Activity: Zero and Here's Why
No signals fired this week, and frankly, that's exactly what we wanted to see. Our scanner identified potential setups but correctly filtered them out due to the risk-off regime. This is systematic trading at work—letting the data, not emotions, drive decisions.
The absence of signals doesn't mean the scanner is broken; it means it's working perfectly. In risk-off environments, even high-probability setups face headwinds from broad market selling pressure. Our backtesting shows that ignoring regime filters during defensive periods significantly reduces win rates and increases drawdowns.
Stocks to Watch: SQM Shows Persistent Strength
Here's where things get interesting. Sociedad Química y Minera (SQM), the Chilean lithium giant, appeared on our near-miss list multiple times with an impressive score of 88. That's institutional-grade relative strength in a risk-off market—exactly the kind of setup we want to pounce on when conditions flip.
SQM's repeated appearance with such a high score suggests strong underlying accumulation despite the broader market malaise. The stock is being held back solely by our market regime filters. When SPY reclaims its 200-day moving average and we shift back to risk-on, SQM could be among the first movers.
This is the power of systematic scanning—identifying tomorrow's leaders while they're still under accumulation today.
Understanding Market Regimes: Your Trading GPS
Market regime analysis might be the most underutilized tool in retail trading. Think of it as your trading GPS—it tells you not just where you are, but what kind of terrain to expect ahead.
Our scanner uses multiple inputs to determine regime: price versus moving averages, volatility readings, sector rotation patterns, and momentum indicators. In risk-off periods, defensive sectors outperform, volatility spikes, and breakouts fail at higher rates. Conversely, risk-on regimes favor growth stocks, momentum strategies, and aggressive position sizing.
The key insight? The same setup that works beautifully in a risk-on environment can devastate your account during risk-off periods. Regime awareness isn't just about improving win rates—it's about surviving the inevitable market cycles that claim undisciplined traders.
Ready to let AI guide your trading decisions? Be among the first to use Camden Signals to identify high-probability setups while avoiding regime-based traps. Our systematic approach takes emotion out of trading and puts probabilities on your side.
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This is not financial advice. Past performance does not guarantee future results.