Macro · Business cycle
ISM Manufacturing New Orders, explained
A monthly survey of US factory purchasing managers, not a market indicator at all — why it tends to turn 3–6 months ahead of the wider economy, how a 0–100 reading actually gets built, and where it sits inside our composite scores.
- Neutral line
- 50.0
- Risk floor
- 44
- Risk ceiling
- 65
- Heatmeter weight
- 5–6%
expansion / contraction divide
survey reading scored as 0% risk
survey reading scored as 100% risk
BTC 5 / ETH 6, of 100
What is ISM Manufacturing New Orders?
One part of the Institute for Supply Management's monthly Manufacturing PMI survey. Every month, the people who buy materials for a panel of US factories are asked whether new orders — the demand that becomes tomorrow's production — went up, down, or stayed flat compared to the month before.
Those answers get converted into a single number. It is not a dollar figure or a growth percentage; it is a read on how widely shared rising versus falling demand was across the panel that month.
How does a survey turn into one number?
ISM uses the standard recipe for this kind of survey — a diffusion index: the percentage of respondents reporting "higher", plus half the percentage reporting "same", with "lower" responses left out of that sum. The result lands on a scale where 50 is the exact midpoint — an equal balance of improving and worsening reports.
That is why the number moves the way it does. It cannot tell you how much orders rose or fell in dollar terms, only whether more managers than not are seeing an improvement. A reading of 55 and a reading of 65 both describe expansion; the gap between them describes how widely shared that expansion is across the panel, not its size.
Why does it lead the economic cycle?
New orders are booked before anything happens with them — before a factory ramps production, before it hires, before the resulting output shows up in GDP. That sequencing is the entire reason this series gets called a leading indicator: it captures a change in demand at the moment a manager decides to place or pull an order, well before that decision works its way through production schedules, payrolls, and quarterly growth figures.
The typical lag cited for ISM new orders turning ahead of the broader economy is on the order of a few months to roughly half a year — long enough to matter for positioning, short enough that it is not a multi-year forecast.
What do the four zones actually mean?
The live chart shades the PMI line against four bands: 24–44 is flagged as significant contraction, 44–50 as contraction that is slowing but not severe, 50–60 as healthy expansion, and 60–68+ as over-expansion — rapid growth that historically has carried inflationary pressure with it.
Fifty stays the one threshold worth memorizing on its own: it is the line between expansion and contraction, independent of the four-band shading around it.
Has it ever been wrong?
It surveys opinion rather than counting shipments, and it turned ahead of every major post-2000 manufacturing downturn — but it has also spent stretches below 50 with no recession following. Those false alarms are its main weakness, and there are a few other things worth knowing before you read it.
It counts how many, not how much
A reading of 55 does not mean new orders grew 5% — it means the share of purchasing managers reporting "higher" outweighed those reporting "lower" by that margin. Two very different months of actual order volume can produce the same reading.
The chart’s zone bands and the heatmeter’s risk score use different numbers
The zone shading on the chart runs 24/44/50/60/68. The risk score that feeds the heatmeter is a separate, simpler straight-line scale — 44 scores 0% risk, 65 scores 100%, and readings beyond either end are held at that value. So a reading can sit inside a coloured zone that says one thing while the risk score says another.
FRED stopped updating this series
The public FRED feed for this indicator no longer updates, so we keep the history ourselves: a stored copy of the published record, plus readings entered by hand. New readings appear when that record is updated.
It is a US-only survey applied to a global asset
The underlying data measures American factory demand specifically. Bitcoin and Ethereum trade on money from every region — the link from one country’s factories to how willing investors worldwide are to hold risky assets is real but indirect, not a direct cause.
New orders don't measure what the economy is doing right now. They measure what factory managers already decided to do next.
How do we turn a PMI reading into a risk score?
The zone bands on the chart are there to read it at a glance. The number that feeds our composite scores comes from a separate, simpler formula: a straight line running from 44 → 0% risk to 65 → 100% risk, with anything beyond either end held at that value. A reading at or below 44 scores zero; a reading at or above 65 scores the full 100; anything between scales proportionally.
The two scales do not line up exactly. The risk formula's floor of 44 sits on the chart's contraction/recession boundary, but its ceiling of 65 sits above the 60 mark where the chart's own over-expansion band begins. So a reading can be visually inside the orange "over-expansion" band while its risk score is still climbing toward 100 rather than already there.
The data itself no longer comes from a live FRED feed — FRED stopped updating this particular series — so the history is kept from a stored copy of the published record plus readings entered by hand, with a hand-entered figure taking precedence for any date it covers.
Where it fits
ISM Manufacturing New Orders is a macro business-cycle indicator — it says nothing about Bitcoin or Ethereum directly, only about the state of US factory demand, which has historically moved with how willing investors are to hold risky assets in general, crypto included.
It is one of fourteen weighted inputs in both Heat Meters — currently 5 out of 100 on Bitcoin and 6 out of 100 on Ethereum, and we adjust those weights as the indicators are re-tested. It is also one of only two inputs in the Ethereum Heat Meter that measures something outside Bitcoin: a US factory survey has no Ethereum version, so the same reading counts for both. The Heat Meter uses the exact risk score you see on this chart, not a separate calculation of its own. In neither composite does it alone decide the score; it is one voice in a panel of fourteen.
Common questions
What is ISM Manufacturing New Orders?
One part of the Institute for Supply Management’s monthly Manufacturing PMI survey. It asks purchasing managers at US factories — the people who buy the materials a factory runs on — whether new orders, the demand that will become future production, are higher, lower, or unchanged than the month before. Those answers become a single number that measures how widely rising demand is shared across the panel, typically ranging from roughly the mid-20s in deep downturns to the mid-60s at the hottest points of the cycle.
Why is it considered a leading indicator?
New orders are a company’s incoming demand, booked before it is produced, shipped, or counted in GDP. Because of that lag between an order being placed and the economic activity it generates, new-order readings tend to turn ahead of broader measures like production, employment, and output — one of the reasons it is watched as an early signal rather than a confirming one.
What does the 50 level mean?
Fifty is the exact midpoint of the scale. A reading above 50 means more purchasing managers reported rising orders than falling ones; below 50 means the reverse. It tells you the direction, not the size — a 51 and a 64 both mean expansion, but they describe very different strengths of it.
What do the colored zones on the chart mean?
The live chart shades four horizontal bands over the survey line: 24–44 (red, significant contraction), 44–50 (yellow, contraction but not severe), 50–60 (green, healthy expansion), and 60–68+ (orange, rapid growth carrying inflationary pressure). These bands are there to read the chart at a glance — they run on a different scale from the 44–65 one that produces the risk score used elsewhere on the platform.
How does Blockchain Decoded turn a PMI reading into a risk score?
One fixed formula: risk = ((value − 44) / (65 − 44)) × 100, held between 0 and 100. A PMI reading of 44 or below scores 0% risk; a reading of 65 or above scores 100%; everything between scales in a straight line. That risk number, not the raw PMI value, is what the Bitcoin and Ethereum Heatmeters use.
Is ISM Manufacturing New Orders part of the Bitcoin or Ethereum Heatmeter?
Yes, on both. It is one of the fourteen weighted inputs in each composite — weight 5 out of 100 on the Bitcoin Heatmeter, weight 6 out of 100 on the Ethereum Heatmeter. It is also one of only two inputs in the Ethereum Heatmeter that measures something outside Bitcoin, alongside the Fear & Greed Index, since a US factory survey has no separate "Ethereum version" to compute.
Related guides
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- Bitcoin vs Global M2Bitcoin against global money-supply growth, the clearest expression of the debasement thesis.
- Fed Balance SheetTotal Federal Reserve assets: expansion and contraction of the system’s base liquidity.
- Federal Funds RateThe policy rate that sets the price of money for everything else.
Every indicator we track — the full glossary.
See where it stands right now
Everything above is the indicator on its own terms. The live chart plots forward-looking factory demand — one of the earliest turns in the business cycle — with our risk score on top. That score is also one of the fourteen inputs behind the Bitcoin Heat Meter.