Market Personality · Report
LH — Lean Hogs
LH is in a textbook trending state with volatility in its normal band — the kind of market where trend-following strategies (breakouts, moving-average crossovers, momentum) tend to work the way the backtest said they would. We built this read from 37 years of LH daily data.
Archetype: Healthy Trend
Archetype verdict
Lean Hogs is a Healthy Trend market right now — the archetype label is how the full 37-year read of its personality rolls up into one tag. Standard trend regime at normal volatility. Most trend-following systems work as advertised.
Three readings drive that call (all scored against LH’s own history, not against other markets):
- Volatility: Normal — 62nd percentile — in the typical band
- Trend strength: Trending — 90th percentile — medium-term persistence runs high
- Tail risk: Clean — 55th percentile on kurtosis — no fat-tail shocks piling up
- If you’re a trend trader: This is your environment. Breakouts and moving-average crossovers historically behave the way the backtest said they would. Keep normal position sizing.
- If you’re a mean-reversion trader: Fading moves is the lower-probability play right now — wait for the tail regime to break or the Hurst reading to roll below 0.5.
DNA radar
This radar chart is LH’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 LH’s own 37-year history. A big spike on one spoke means LH 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 LH’s personality evolve over time. All four use the same yardstick (LH’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 LH — 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. LBR at 1.20 is a close cousin; DX at 1.96 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 LH. 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 moved from Full Crisis into Crisis Trend — the worst is losing its grip and directional behavior is returning.
Violent-Range volatility is easing into a normal Working Range — the stress event is fading.
Healthy Trend downgraded to Grind Higher — the trend is losing conviction and often pulls back short-term.
Compressed Coiled Calm resolved into Trend with Tails — the breakout carried fat tails that historically don’t hold.
Market left Full Crisis but into Violent Range instead of recovery — the stress is persisting in a new form.
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 LH‘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 lean hogs enter a Crisis Trend archetype, hog inventory exceeds one sigma above seasonal norms within six months in every historical case — a perfect 21-of-21 record.
A standout finding: Crisis Trend AND Full Crisis on LH have both fired 100% hit rates for hog-inventory buildups at six-month horizon. The pattern reflects the hog cycle: a crashing price regime drives farmers to retain breeding stock, and inventory bloats. Rare occurrence but near-flawless when it fires.
When lean hogs enter a Momentum Run archetype, pork cold-storage levels run above seasonal norms within six months 60% of the time — more than double the base rate.
Momentum runs in LH precede pork inventory builds. Trend-with-Tails behavior is the strongest conditional signature during active storage builds (3.51× base rate). Companion read to the hog-inventory signal — together they map the slaughter→storage supply chain.
When lean hogs enter a Crisis Trend archetype, U.S. non-farm payrolls turn YoY-negative within six months 57% of the time — more than double the 26% baseline.
Lean hogs are a surprisingly good recession indicator through the consumer-protein channel: discretionary meat demand collapses in early-recession months. Nervous Range and Trend-with-Tails on LH show 2.44-2.79× conditional lift during active payroll contractions. Consumer-macro context signal.
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 LH’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 LH was in — scroll it like a weather map of the market.
Coverage: 1989-11-30 to 2026-05-22 · 9,190 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 LH 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 LH’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 LH’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 LH’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 LH’s own history — NOT higher than 70% of other markets. Every number on this page is scored against LH 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.