Map of Stock Trends

  • 23 January 2018 |
  • Written by  Skot Kortje, Stock Trends Analyst
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The Map of Stock Trends is a hierarchical treemap that ranks the probabilities of stocks beating the 40-week, 13-week and 4-week base returns, categorized by sector, industry group, and Stock Trends indicator.

The Stock Trends Inference Model (ST-IM) is formulated on the question: what do trend and momentum indicate about future changes in price? Corollaries of this question are: if a stock price has been rising, will it continue to rise? If a stock is trending down, will it reverse the trend in the future? Will a stock experiencing price momentum persist, or will it come crashing down? If a stock has been in a bullish trend for over a year, will the trend likely expire soon? If a momentum stock has high volume will it subsequently collapse? If a bearish stock advances on high volume, does this signal the beginning of a reversal? In short, we ask whether past price changes tell us anything about the direction of future prices.

Of course, technical analysis is a discipline derived from the assumption that, yes, past price patterns repeat and with careful analysis we can time the market according to proper responses to these patterns. Critics of this approach to market timing abound, but there are many scientific research papers that have evaluated the price momentum factor. Generally, it has been exhibited in this research that momentum as a sustainable market anomaly exists, although its time frame is generally longer-term - evidence that damns technical traders focused on short period time frames.

Stock Trends analysis is focused on long-term trends - not multi-year long-term, but multi-month long-term. It is designed for the swing trader, or position trader, who wants to capitalize on the momentum factor and generally expects to hold a position for periods of months - sometimes years if the holding is a low volatility stock.

The Stock Trends Inference Model generates probabilities of future returns for individual stocks and ETFs to exceed a base expectation of returns for each of the following periods: 4-week (0% base return), 13-week (2.19% base return), 40-week (6.45% base return). These probabilities are derived from statistical inferences of returns already observed over the 30-year history of Stock Trends indicators. Samples are taken of stocks that share the same Stock Trends indicator combinations, and then post-observation returns are measured for each of the three periods defined above. The model looks to turn past observations of similar market characteristics into a probabilistic sample space. It looks to answer the questions we set out to answer.

Each week individual trends of about 7,000 North American stocks and ETFs are evaluated by this model. The resultant probabilities are ranked in specific reports available to Stock Trends Weekly Reporter subscribers. The probabilities are also ranked in the Map of Stock Trends.

The Map of Stock Trends is a treemap that is structured in a hierarchical order. First, it is categorized by sector, then by industries within each sector. Then each industry is categorized by Stock Trends indicator. Within the industry trend category, stocks are ranked by their probability of beating the expected return for each of the 13-week and 4-week periods going forward. The 13-week probabilities are ranked spatially - the stocks with a higher probability of having a return greater than the base return (2.19%) occupying larger cells in the upper left quadrant and stocks with lower probabilities occupying progressively smaller cells ordered across the treemap into the lower right quadrant.

The 4-week probabilities of beating the base return (0%) are ranked by colour, with the darkest green hue representing the highest probability, the darkest red representing the lowest probability, and gradient shades between denoting their ranks between. Darkest green cells in the upper left quadrant represent stocks with the best expected returns in the group. Darkest red cells in the lower right quadrant represent stocks with the lowest expected returns in the group. Each grouping - sector, industry, and trend - illuminate the relative 4-week probabilities of these aggregates, with bullish groups in dark green, bearish groups in dark red, and relative hues ranking those in between.

Separate Maps of Stock Trends are published for each of the NYSE, Nasdaq, Amex, and TSX. Subscribers to Stock Trends Weekly Reporter will find these Maps of Stock Trends in the Member (subscriber-only) area.

 

Map of Stock Trends

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Stock Trends Editorial

  • War, Inflation, and Rotation: What Stock Trends Reveals After the Middle East Shock
    War, Inflation, and Rotation: What Stock Trends Reveals After the Middle East Shock This week's market headlines have been dominated by war, oil, and inflation fears. However, the Stock Trends context indicates that this is not a broad liquidation. It is a disciplined rotation into sectors tied to scarcity, resilience, and security. Markets do not move from a blank slate. They rotate, they re-price, and they reveal where capital was already preparing to move before the headlines become obvious. This past week’s escalation in the Middle East has undeniably shaken investor confidence, but the latest Stock Trends dataset suggests that the deeper message is not indiscriminate panic. It is a reordering of leadership.
    07 March 2026 Read more...
  • Not Risk-On. Not Risk-Off. Rotation.
    Not Risk-On. Not Risk-Off. Rotation. Not Risk-On. Not Risk-Off. Rotation. In our recent editorial, The Hard Asset Regime Is Not a Trade — It’s a Structure, we examined the persistent leadership emerging in gold and materials and argued that real assets were no longer functioning as short-term hedges, but as structural participants in the market. The current Stock Trends dataset extends that thesis — but in a different direction. The 13-week ST-IM probability model is no longer pointing to a narrow leadership cluster. It is identifying a market redistributing capital across multiple durable themes simultaneously. This is not a simple “risk-on” environment. It is not a defensive “risk-off” retreat. It is rotation.
    02 March 2026 Read more...
  • The Hard-Asset Regime Is Not a Trade — It’s a Structure
    The Hard-Asset Regime Is Not a Trade — It’s a Structure Markets rarely move randomly. They rotate. They reallocate. They transition from one leadership regime to another. And when that transition is real, it shows up not in headlines — but in breadth. This week’s Stock Trends universe reveals something decisive. When we measure common stocks only (removing ETFs that duplicate underlying holdings), two sectors stand apart: Materials and Energy.
    21 February 2026 Read more...
  • Stock Trends Mid-Quarter Review: How the Year-End 2025 Themes Are Performing in Q1 2026
    Stock Trends Mid-Quarter Review: How the Year-End 2025 Themes Are Performing in Q1 2026 Halfway through Q1 2026, the question is no longer theoretical: Did the year-end institutional momentum and ST-IM Alpha themes actually guide investors effectively? With the updated February 13, 2026 Stock Trends dataset now in hand, we can measure the outcome directly — not against headlines, but against trend structure, relative strength, and momentum persistence. The short answer: the framework largely held — but leadership rotated exactly where the model suggested it might.
    14 February 2026 Read more...
View all Stock Trends Editorials
 
 

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