Composite · Monthly

AltStreet Alt Markets Health Index

The 2026-09 reading is 54.0 out of 100, around recent normal, from 7 components across capital formation, funding quality, price and liquidity. One number that says whether the alternative markets AltStreet tracks are doing better or worse than their own recent past. Descriptive, transparent, reproducible from the series behind it.

Composite

54.0

▼ -0.50 pts

2026-09 · around recent normal

Capital formation

51.1

3 components

Funding quality

61.0

1 component

Price & valuation

53.5

2 components

Liquidity

50.2

1 component

History

Composite since 2017-01

117 monthly prints · CSV with components

Highest: 77.6 in 2020-12

Lowest: 19.9 in 2025-04

Prior month: 38.0 (2026-08)

Read the level against its own scale: 50 is recent normal, and the window each component is scored against moves with time, so the index measures deviation from the recent past rather than absolute conditions.

Sub-scores

The four legs

Each averages its components; the composite averages the legs present.
Capital formation
since 2017-01

51.1

New Reg CF offerings · New private-fund Form D · New Reg A statements

Funding quality
since 2018-05

61.0

Reg CF cohort completion (matured)

Price & valuation
since 2017-01

53.5

High-yield spread (inverted) · 30-year mortgage rate (inverted)

Liquidity
since 2026-07

50.2

Tokenized equity venue volume

Components

What went into 2026-09

8 components still waiting for twelve months of history
ComponentLegValueWindow meanMonthszScore
New Reg CF offeringsCapital formation4898.5336-1.9311.3
New private-fund Form DCapital formation2,0571,485.1736+1.8386.5
New Reg A statementsCapital formation1311.9236+0.2855.6
Reg CF cohort completion (matured)Funding quality44.640.8136+0.5561.0
High-yield spread (inverted)Price & valuation2.763.1436+0.9368.5
30-year mortgage rate (inverted)Price & valuation6.866.6636-0.5738.5
Tokenized equity venue volumeLiquidity96,348,141.2796,142,856.6614+0.0150.2

Waiting: tokenized-treasury-aum (0/12 months); tokenized-equity-market-cap (2/12 months); onchain-credit-tvl; rega-nav-index-fundrise (11/12 months); fred-case-shiller-national; usda-cropland-value; prediction-market-activity (1/12 months); royalty-entry-yield-weekly (2/12 months).

Method

How the score is built

Every step is in the collector; every print carries its inputs.
  1. One observation per month per component. A monthly series contributes its print; a daily series the mean of the month; level series such as NAV indexes and tokenized AUM contribute their 12-month change; Reg CF completion contributes the within-12-month rate of the cohort that matured twelve months earlier, so every month is observed at the same maturity.
  2. Z-score against its own recent past. Each observation is compared with the component's trailing 36 months (at least 12), clipped at plus or minus 2.5 standard deviations, and oriented so that higher is healthier: credit spreads and rates are inverted.
  3. Score 50 plus 20 times z. 50 is recent normal; 0 and 100 are the clip.
  4. Average up. Each leg averages its components; the composite averages the legs present. A month prints only with at least two legs live and only once the month is complete.

A monthly 0 to 100 composite of the market series already published on /markets. Each component is reduced to one observation per month (a monthly series' print, the mean of a daily series' prints, a 12-month change for levels such as NAV indexes and tokenized AUM, and for Reg CF completion the within-12-month rate of the cohort that matured twelve months earlier, so every month is observed at the same maturity), z-scored against its own trailing 36 months (at least 12), clipped at plus or minus 2.5 standard deviations, oriented so that higher is healthier (credit spreads and rates are inverted), and scored 50 plus 20 times z. Four sub-scores (capital formation, funding quality, price and valuation, liquidity) average their components and the composite averages the sub-scores present; a month prints only with at least two sub-scores live and only once complete, so the history reaches back to 2017 on formation and price and widens as quality (2026) and liquidity (mid-2026) components reach twelve months. Every print carries each component's value, z and score, and the components still waiting for twelve months of history, which is how the index widens over time. Descriptive, not predictive; it compares the tracked markets with their own recent past and says nothing about any offering.

Licensed indexes such as Liv-ex and the Hiive50 are cited on their category pages and are never components. Flow-layer components are AltStreet's own enumeration of EDGAR filings, not official SEC totals.

Questions

What people ask

What is the AltStreet Alt Markets Health Index?

A monthly 0 to 100 score that says whether the alternative-investment markets AltStreet tracks are forming, funding, pricing and trading better or worse than their own recent history. The 2026-09 reading is 54.0, around recent normal, from 7 components.

How is the index calculated?

Each component series is reduced to one observation per month, compared with its own trailing 36 months as a z-score, clipped at plus or minus 2.5, oriented so higher is healthier, and scored 50 plus 20 times z. Four sub-scores average their components and the composite averages the sub-scores present.

What does a reading of 50 mean?

50 is each component's own recent normal. Readings near 0 or 100 are two and a half standard deviations below or above that normal. The index compares markets with their own past, not with each other.

Is the index a forecast or a recommendation?

No. It is descriptive: a summary of where the tracked series sit today against their recent history. It predicts nothing and says nothing about any offering.

Why do older months use fewer components?

A component joins once its series has twelve months of history. Formation and price series reach back to 2017; funding quality joined in 2026 and liquidity in mid-2026. Every print records the components it used, so far-apart months should be compared with that in mind.