Recent price direction
Assets that have recently risen or fallen, studied for continuation.
Momentum, value, volatility, trend — each describes an average tendency observed across large historical samples. None of them is a rule for what a specific asset does next.

Factor investing turns characteristics such as value, momentum, or quality into comparable scores or rankings. A factor score describes exposure to a defined feature; it does not guarantee an individual asset's return.
These six fictional stocks use three raw features with different units. Convert each column to z-scores, then combine them using your chosen weights. A factor does not say what must rise; it turns an investment characteristic into a comparable number.
Changing weights changes the ranking. A composite score depends on the data, normalization method, and model choices; a high score is not a guaranteed future return.
A quant factor sorts a large group of assets by some shared, measurable characteristic — how much they've recently risen, how cheap they are relative to earnings, how much they've fluctuated — and studies how that group has performed on average, historically. The factor describes the group; it says nothing specific about why any single member of the group has that characteristic right now.
Assets that have recently risen or fallen, studied for continuation.
Assets priced cheaply relative to earnings or book value.
Assets grouped by how much they've recently moved.
Switch between momentum, value, volatility, and trend, and read the caveat that goes with each one.
The idea that assets which have recently risen tend, on average across large samples, to keep rising for some further period — and the reverse for recent decliners. Historically studied across many markets, but the effect's strength has varied a great deal by period and can reverse sharply.
The idea that assets priced cheaply relative to a fundamental measure, such as earnings, tend on average to outperform more expensive ones over long horizons. A cheap price can reflect a genuine bargain or a genuine problem with the underlying business — the ratio alone doesn't distinguish between the two.
Grouping assets by how much their price has recently fluctuated, often used to study how steadier assets have performed relative to more erratic ones. Volatility describes the past, not a promise about how much a specific asset will move next.
Grouping strategies around whether price is in a sustained directional move, often measured with moving averages or similar tools. A trend factor performs very differently in trending versus choppy market conditions, and telling those apart in advance is not reliable.
"This factor has shown a positive average return across decades of data" is a real research finding. "This factor guarantees a positive return for this specific asset" is a different, much stronger claim that the research doesn't support. The gap between the two is exactly where factor research gets oversold.
Pick a case and judge whether the reasoning treats the factor as a historical description or overreaches into a guarantee.
A researcher notes that a momentum factor has, on average, shown a positive return across a large sample of historical stock data over many decades. This describes an average tendency across a large historical sample, not a guarantee for any single stock going forward.
An investor buys a stock solely because its price is low relative to its earnings, without examining why the price is low. A low price relative to earnings can reflect either an undervalued opportunity or a genuine business problem, and the ratio alone doesn't distinguish between them.
A researcher studies a volatility factor using twenty years of data and explicitly notes that it does not promise how any specific asset will behave next year. This correctly treats the factor as a description of historical data, not a forecast for a specific future outcome.
How large and how long is the historical sample the factor was studied on?
Is the claim about the average across the group, or about one specific asset?
Is there a reason this specific asset currently qualifies, beyond just fitting the factor's definition?
Is the factor being used to describe the past or to promise the future?
Momentum, value, volatility, and trend each describe a historical group tendency.
Knowing the average doesn't say which one a specific asset will be.
Factor research describes what happened historically, not what will happen next.
Submit your answers to see detailed explanations.
Ask Mira to explain how a factor like momentum or value is typically calculated and studied — it won't tell you whether a specific asset will benefit from that factor going forward.
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