Map of Stock Trends

In the isometric treemap displayed below stocks are grouped by sector, industry, and by trend category (Bullish , Weak Bullish , Bearish , Weak Bearish , Bullish Crossover , Bearish Crossover ). Click on the sectors, industry groups and trend categories within each industry to view the expected return rankings of stocks within the group. Navigate back by clicking on the header of the treemap.

Each group and stock within these groups are differentiated in three ways in this hierarchical isometric visualization: by isometric projection of its relative probability of a return greater than the base 40-week mean random return (6.45%), with taller blocks (higher probabilities) sorted and displayed from the upper left quadrant and moving down to the lower right corner for the lower value; spatially by their relative probability of a return greater than the base 13-week mean random return (2.19%). The 4-week returns expectations are differentiated visually by color gradation, with darker green hues representing stocks with higher probabilities of exceeding the base average 4-week random return (0%) and darker red hues representing the stocks with the poorest probability of a positive return in 4-weeks.

Dark green blocks in the upper left of each trend category are stocks with the best statistical trend characteristics. Dark red blocks in the lower right quadrant of each trend category are stocks with the worst statistical trend characteristics. Each grouping of sector, industry, and trend within industry groups show the aggregate statistical trend characteristic - green for bullish, red for bearish, and relative shades between. The tooltip display shows the average probabilities for the selected group or the actual proabilities for the individual stock when hovering over the block.

Click on the stock symbol to view its Stock Trends Report page.

See Chapter 6 - Using Stock Trends Systematically of the Stock Trends Handbook to learn about the Stock Trends Inference Model.

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Stock Trends Editorial

The Quiet Power of Hospital Consumables: Durable Trends Hidden in Plain Sight
In markets where headline indexes appear steady but leadership narrows beneath the surface, the Stock Trends framework tends to guide investors toward a specific class of opportunity: durable trends supported by durable business structure. This week’s universe reinforces that late-cycle character—Bullish classifications remain dominant overall, yet momentum leadership is increasingly selective. It is in this environment that a largely ignored cohort deserves fresh attention: hospital consumables. These are the unglamorous, repeat-use products embedded deep within clinical workflows—dialysis supplies, catheters, blood collection systems, sterilization kits, and procedure disposables. They rarely make headlines, but they often exhibit the same technical signature Stock Trends users learn to respect: persistent trend behavior with corrections that are more often time-based than destructive.

20 December 2025 Read more...
Holiday Tape in Consumer Discretionary: What 46 Seasons Reveal Through Stock Trends Indicators
For Consumer Discretionary companies, the six weeks surrounding Black Friday and year-end are not just a retail storyline—they are a real-time referendum on consumer confidence, pricing power, and risk appetite. To test what this period actually means for investors, we analyzed the Stock Trends Consumer Discretionary universe across every year in the dataset, using a consistent six-week window (from the third week of November to the final trading week of December, based on weekly Friday closes). The objective was simple: does the Stock Trends framework—trend classifications, RSI relative strength, and volume tags—extract a repeatable signal from the holiday season? The answer is nuanced, but actionable.

15 December 2025 Read more...
Understanding Our Assumptions — A Decade Later
For decades, the Stock Trends framework has rested on a foundational analytical question: Can we infer future return tendencies from recurring patterns of trend, momentum, and trading activity? In 2014, we formalized this question through the Stock Trends Inference Model (ST-IM), built on two basic premises: Market conditions are non-specific to a particular security. Market responses to these conditions are specific. Those ideas remain central to Stock Trends today. But the investing world has changed. Academic research into momentum, trend-following, and behavioural finance has deepened; markets have experienced extreme macro cycles; and our own analytical tools have evolved dramatically. A decade later, it is time to revisit the original assumptions, test them against modern evidence, and expand their meaning for today’s Stock Trends users.

11 December 2025 Read more...
Trading Nvidia with the Stock Trends RSI +/– Pattern Analysis Model
Nvidia’s extraordinary rise in recent years has made it a centrepiece of both long-term institutional portfolios and short-term trading desks. Yet few tools provide a disciplined, data-driven lens for navigating NVDA’s volatile weekly momentum. The Stock Trends RSI +/– Pattern Analysis model model is one of them—an evidence-based framework that converts historical price–benchmark relationships into probabilistic expectations of next-week performance. When applied to NVDA-Q, it becomes a powerful guide for traders seeking tactical entries, binary-style short-term trades, or precision timing for longer-term positions.

11 December 2025 Read more...