Market Personality · Report
S — Soybeans
S is in an elevated-stress regime right now — vol is running hot and/or tail-shock days are piling up. Position sizing matters more here than strategy selection. We built this read from 37 years of S daily data.
Archetype: Coiled Calm
Archetype verdict
Soybeans is a Coiled Calm market right now — the archetype label is how the full 37-year read of its personality rolls up into one tag. Trend intact under calm vol but tails are fattening. Position modestly; crash hedges are cheap here.
Three readings drive that call (all scored against S’s own history, not against other markets):
- Volatility: Calm — low — unusually quiet for this market
- Trend strength: Trending — 62nd percentile — medium-term persistence runs high
- Tail risk: Fat — 94th percentile on kurtosis — shock days running hot
- Risk first: Vol or tails are elevated — trim position size and raise stops. The realized-volatility distribution has fat right tails right now; sizing matters.
- System selection: Prefer strategies that explicitly size on realized vol (vol-targeting, risk-parity weighting). Static-size systems historically take outsized drawdowns here.
- If you’re sizing for risk: Vol is in the 9th percentile — unusually quiet. Standard sizing is fine; be aware that quiet vol regimes can end abruptly.
DNA radar
This radar chart is S’s fingerprint today. Each of the six spokes measures one trait of the market — how strongly it trends, how volatile it is, how fat its tails are, and so on — ranked against S’s own 37-year history. A big spike on one spoke means S is unusually strong on that trait right now. The overall shape is the market’s personality at a glance.
5-year trajectory
Today’s radar is only one frame. This strip shows four frames — 5 years back, 2 years back, 1 year back, and today — so you can see S’s personality evolve over time. All four use the same yardstick (S’s full history), so any change in the shape is a real change in the market, not a change in how we’re measuring it. The label under each frame is the archetype we called at that time.
How to read it: a growing polygon means the market is heating up on those traits. A shrinking polygon means it’s cooling off. Big label changes between frames (e.g. Healthy Trend → Full Crisis) are the real regime shifts worth paying attention to.
Current-state scorecard
Here’s the full read — all 16 traits we track, measured over four lookbacks (1 year, 2 year, 5 year, lifetime). Each number is a percentile: how today’s reading ranks against this market’s own history over that window. BIG 6 tags the six traits that drive the radar chart above. Use the arrow column to see whether each trait is rising, flat, or falling vs its 2-year distribution.
← swipe horizontally on mobile to see all columns.
Trend column: ↑↑ strongly rising vs 2-year distribution, ↑ rising, → flat, ↓ falling, ↓↓ strongly falling. Thresholds are 0.5 and 2.0 standard deviations. Percentile ranks use the full lifetime distribution — a 70th-percentile reading means today is higher than 70% of all observed days. The 1-year column uses only ~252 days and should be read as a short-term signal, not a precise rank.
Markets like this
These are the three markets whose long-run personality most resembles S — same temperament, not necessarily same direction. We compare each market’s 37-year fingerprint on the Big-6 traits, standardized so markets at different price scales can be compared fairly. Important: “personality peer” is not the same as “price peer.” Two markets can trade in lockstep and have totally different personalities, and vice versa.
The distance number is a similarity score. Smaller = more alike. KC at 0.77 is a close cousin; W at 1.30 is a more distant relative. Under the hood: each market’s Big-6 traits are averaged over its full history, z-scored across the 18-market universe (winsorized at ±2.5σ so a single extreme market can’t pull the geometry), then compared with Euclidean distance. Short-history markets (BTC) have more sample uncertainty in their lifetime mean — treat them as lower-confidence matches. See the full map on the personality clusters page.
Recent signals
These are the archetype-sequence patterns whose forward-return behavior has survived a per-market empirical test on S. When a transition matches one of these patterns, history shows a reliable short-to-medium-term edge on this market. Signal narratives, horizons, and historical Sharpe come from an in-house 37-year backtest; see how signals are tested.
Market emerged from Full Crisis into Working Range — volatility is coming down and price settles into a range.
Market moved from Full Crisis into Crisis Trend — the worst is losing its grip and directional behavior is returning.
Momentum Run collapsed into Working Range — the momentum trade is losing energy and historically rolls over.
Working Range quieted down into Quiet Range — volatility compression without stress is historically constructive.
Healthy Trend downgraded to Grind Higher — the trend is losing conviction and often pulls back short-term.
Healthy Trend accelerated into Momentum Run — the trend is going vertical and historically tops out fast.
Grind Higher accelerated into Healthy Trend — often a late-cycle move that disappoints over longer horizons.
Quiet Range tightening into Coiled Calm — volatility is compressing, often before a directional resolution.
Compressed Coiled Calm resolved into Trend with Tails — the breakout carried fat tails that historically don’t hold.
Crisis Trend deepened into Full Crisis — the stress event is reaching its climax.
Signals are historical; past performance does not guarantee future results. These are not trade recommendations — they are the empirically-validated patterns we watch for on this market.
Macro lens
Separate from the per-market pair signals above, these are findings where S‘s personality archetype carries information about an external macro regime — an inflation print, a yield-curve inversion, a drought. These are empirical “when this market’s personality looks like X, that external macro regime tends to follow” findings — context signals, not trade recommendations.
When soybeans enter a Quiet Range archetype, the Mato Grosso soy belt sees an abnormally dry month within six months 41% of the time — nearly double the base rate.
Soybean prices often price in Brazilian drought risk before the TERRACLIMATE anomaly actually appears. Quiet-Range and Grind-Higher archetypes on S are the strongest precursors; both are overrepresented during active deficits as well. This is a supply-side early-warning for the Brazilian half of the global soy balance sheet — use as context, not as a direct price forecast.
When soybeans enter a Full Crisis archetype, the Argentine Pampas sees a seasonal dry anomaly within six months 57% of the time — well above the 35% baseline. During active deficits, Violent Range dominates (3.72× its base rate).
Argentina is the world’s #3 soybean exporter; its Pampas weather is a secondary supply driver for global soy prices (after Brazil + U.S.). This is a companion signal to the Brazilian soy-belt read on S — together they cover both hemispheres of the South American soy complex.
Past co-movement does not guarantee future results. Macro-lens entries are context signals — not trade recommendations.
37-year history
Three ways to look at S’s full 37 years of personality. First chart: every Big-6 trait over time, with the “normal range” shaded in cream and the big macro events (crashes, policy pivots, crises) marked. Second chart: the whole 37 years compressed into one map so you can see how the market has moved through regime-space. Third chart: a month-by-month color calendar of which archetype S was in — scroll it like a weather map of the market.
Coverage: 1989-11-30 to 2026-05-22 · 9,185 daily observations.
Feature history
One panel per Big-6 trait, over all 37 years. Hover any point for the exact reading. Drag the bar at the bottom to zoom into a specific era (e.g. 2008, 2020). The cream band is the p10-p90 envelope — the middle 80% of all-time readings. Treat it as a “normal zone” with a caveat: markets with fat tails routinely visit the extremes, so a value outside the band isn’t anomalous, just historically unusual. Triangles along the top mark major market events (structural breaks — crashes, policy turns, war); hover to see each one.
Personality map
This map shows where S has lived over 37 years. The shaded region is a density map — darker patches are where the market has spent most of its time. The labeled circles (1990s, 2000s, 2010s, 2020s) are decade medians, color-matched to time (navy = early, gold = recent). The gold diamond is today, with the exact reading. Left-to-right is how strongly the market was trending (right = more trend, left = chop). Up-down is how volatile it was vs S’s own history (0 = quiet, 100 = extreme). Read it as: is today close to where the market usually lives, or at the edge of unfamiliar territory?
Regime calendar
Every month of S’s life, labeled as one of 12 personality types (combinations of volatility, trend, and tail risk). Each color is one archetype — the legend below the chart ranks archetypes by how much of the history the market has spent in each. Hover any band to see the exact month and archetype. Triangles are the same macro-event annotations from the first chart.
Methodology
The 16 traits. We group them into four families (click any underlined term for a quick definition):
- Trend traits (does the market keep going in one direction?): Hurst exponent (R/S estimator), variance ratios, ADF p-value, OU half-life, lag-1 autocorrelation.
- Volatility traits (how big are the daily swings, and are they sticky?): annualized vol (std dev of daily log returns, rolling 252-day window, scaled by √252), vol-of-vol, GARCH(1,1) persistence.
- Shape traits (are the tails fat? which side are shocks on?): skewness, excess kurtosis (Fisher), leverage correlation.
- Complexity traits (is the price path noisy or clean? do cycles repeat?): sample entropy, spectral entropy, fractal dimension, rolling max drawdown.
How we pick the archetype. Three pieces — volatility level, trend strength, tail risk — combine into a 12-box grid of personality types. We use S’s own history (not a cross-market ranking), so a quiet market and a wild market can both be scored fairly against themselves. The classifier reads exactly three of the sixteen traits (Hurst percentile, annualized-vol percentile, kurtosis percentile) through hand-set thresholds. The other 13 traits inform the scorecard but not the archetype label.
How to read a percentile. “70th percentile vol” means today’s vol is higher than 70% of S’s own history — NOT higher than 70% of other markets. Every number on this page is scored against S itself. Cross-market comparisons live on the personality clusters page.
Caveats worth knowing.
- Percentile series look ahead. Readings on the feature-history chart are ranked against the market’s full lifetime, including data after the x-axis date. A 2008 reading at the 90th percentile is high relative to what we now know of history, not relative to what was known in 2008. This is a snapshot characterization, not a point-in-time rank series.
- The archetype classifier reads only 3 of 16 traits. Features like skewness, entropy and the complexity family feed the scorecard but not the label.
- Hurst is a structural measure, not a daily-trend signal. Hurst > 0.5 indicates long-memory in the 252-day rolling return series — useful for characterizing regime. It does NOT reliably predict positive next-day return autocorrelation. Our in-house empirical test on 37 years × 18 markets found no such link. Don’t read a “trending” Hurst label as a day-trading signal.
- Rule-based classifier. Thresholds are hand-set. The classifier does not learn from alert performance (that lives in TA Profile).
- Short-window instability. 1-year percentiles use ~252 days; on recently-listed markets (e.g. BTC) they are noisier than lifetime stats. Read the Lifetime column when confidence matters.
- Rolling windows lag sharp breaks. Expect feature readings to lag sharp regime breaks by a few bars.
- Event markers are hand-curated. The triangles on the feature history and regime calendar are macro-event annotations, not the output of a change-point detection algorithm. Alignment between an event and a visible shift on the chart is for reference, not a statistical claim.
Full plain-English definitions for every feature in the Feature glossary.
Related
- Market Personality hub — back to the market index.
- Personality clusters — both the structural map and today’s state map across all live markets.
- Feature glossary — plain-English definitions for all 16 features.
- Live risk-state detector (Phase 4 continuous stress score) — coming soon.