US Flash PMI Preview: Will October Data Shift Fed Rate Cut Bets?

 

S&P Global releases flash US purchasing managers' index readings for October at 9:45 a.m. Eastern on October 23, which is 21:45 the same day in Singapore, covering manufacturing, services and composite output.

 

This release carries more weight than usual because the policy environment has already turned. The Federal Reserve raised its target range by 25 basis points to 3.75% to 4.00% at its September 15 and 16 meeting on a unanimous 12 to 0 vote, with a statement describing inflation as remaining elevated. That was the first hike since July 2023, and the dot plot median points to one more within 2026. Strong data, in other words, is no longer good news for risk assets.

 

September's flash reading was itself a hawkish shock. Composite output jumped from 56.0 in August to 58.4, the strongest since July 2021, while flash services at 58.7 came in far above the 56.0 expected and flash manufacturing at 57.0 far above 53.6. Chris Williamson, chief business economist at S&P Global Market Intelligence, said output grew at the fastest pace in more than five years, put the survey data at roughly 5% annualised growth, and noted input costs rose at the steepest rate in four years.

 

Per TD Economics' calendar and consensus, October manufacturing is expected at 55.5 and services at 57.9, against final September readings of 55.9 and 58.8. That consensus sets a baseline of mild moderation, which makes another upside surprise the real risk.

 

 

 

The timing is fixed. The release lands at 9:45 a.m. Eastern on October 23, or 21:45 Singapore time, with all three indices published together.

 

Consensus points to mild moderation. Manufacturing is expected at 55.5 against a final of 55.9, services at 57.9 against 58.8, with no public consensus for the composite, which last printed 58.4.

 

September was a five-year high. Composite output of 58.4 was the strongest since July 2021, while flash services of 58.7 and flash manufacturing of 57.0 both beat expectations by wide margins.

 

Flash readings get revised. Final September manufacturing was revised down to 55.9, a full 1.1 points below the 57.0 flash, while final services at 58.8 edged above the 58.7 flash.

 

The price components are what matter. September input costs rose at the steepest rate in nearly four years on fuel and transport costs driven by oil, while the ISM manufacturing prices index jumped from 71.1 to 77.9.

 

Policy direction has flipped. The Fed hiked to 3.75% to 4.00% in September, markets currently assign an 83% probability to a hold on October 28 against 16% for a hike, and a December hike is the leading outcome.

 

 

The release lands at 9:45 a.m. Eastern on October 23, which is 21:45 the same day in Singapore, fifteen minutes after the US equity open, so stocks, Treasuries and currencies all react simultaneously, and flash readings typically cause larger immediate moves than finals.

 

Three indices publish together, the manufacturing purchasing managers' index, the services business activity index and the composite output index. Per TD Economics, consensus sits at 55.5 for manufacturing and 57.9 for services with no figure given for the composite, against final September readings of 55.9, 58.8 and 58.4 respectively.

 

That set of expectations assumes growth moderates from a five-year high while remaining firmly in expansion. The baseline matters because it defines what counts as a surprise. Manufacturing near 55 and services near 58 would be in line and would not move rate expectations. Either index rising further, or the composite clearing 59, would reinforce December hike pricing. Only a clear downside miss would pull attention back toward growth risk.

 

Other data that week forms the backdrop. Initial jobless claims at 8:30 a.m. Eastern on October 22 carry a consensus of 200,000 against 199,000 previously, while September housing starts and building permits released on October 20 offer a read on rate-sensitive sectors. PMI never arrives in isolation, and its interpretation either corroborates or offsets these other prints.

 

 

The three indices measure different things, and conflating them produces wrong conclusions.

 

The manufacturing purchasing managers' index is a weighted composite that blends new orders, output, employment, supplier delivery times and inventories into a single number, so it reflects the overall condition of the manufacturing sector rather than production alone. That also explains why slower supplier deliveries count as an expansionary signal in the calculation, since delays usually stem from strong demand.

 

The services index is built differently, as a single business activity index measuring services output relative to the prior month, with no weighting from employment or inventories. Because services represent a far larger share of the US economy than manufacturing, this index is usually the stronger guide to overall growth.

 

The composite output index is a weighted blend of the output components of both, weighted by each sector's actual share of the economy. That makes it the measure most closely tied to gross domestic product, and September's 58.4 corresponds to Williamson's estimate of roughly 5% annualised growth with third quarter growth near 4%.

 

The gap between flash and final deserves attention. Flash readings rest on something above 80% of survey responses while finals include all of them. September illustrates the point well, with manufacturing revised down from a 57.0 flash to a 55.9 final, a 1.1 point revision, while services edged up from 58.7 to 58.8. Market reactions to a flash print therefore sometimes get partly unwound two weeks later, and the revision risk on flash manufacturing is systematically higher than on services.

 

 

The real information usually sits in the components rather than the headline.

 

New orders carry the most forward-looking content, because they determine output one to two quarters ahead. In September demand was described as strong, with backlogs of unfinished work growing at the sharpest pace since May 2022. The implication is underrated, since rising backlogs mean capacity is failing to keep up with orders, and that translates directly into pricing power. On exactly that basis Williamson noted that rising backlogs let companies develop more pricing power, a worry for the inflation outlook.

 

Employment reflects how durable firms believe demand to be. September hiring rose at the fastest pace since June 2022, with factory hiring the fastest since February 2021, a rate S&P Global described as rarely exceeded since 2009. Firms accelerating hiring usually believe orders are not a short-term phenomenon, though in a constrained labour market that also implies wage pressure.

 

The price components split into input prices and selling prices, and the two have to be read separately. Input prices measure the cost side, and September's increase was the steepest in nearly four years, driven by fuel and transport costs after oil prices climbed. Selling prices measure how much of that firms pass downstream, and September accelerated from August while remaining below the March to July rates and well above the Fed's 2% target. The combination means firms are currently absorbing part of the cost increase while pass-through pressure accumulates.

 

Putting the three together yields the causal chain to watch here. Rising backlogs create pricing power, pricing power plus rising costs push selling prices higher, and selling prices feed directly into the Fed's inflation assessment. The change in the selling price component may therefore matter more for rate pricing than the composite headline itself.

 

Demand on the services side also needs cross-checking against consumption data, since services activity ultimately depends on whether household spending holds up, a framework covered in our analysis of US retail sales and consumer demand.

 

 

These two data sets get used interchangeably despite differing in sample, construction and conclusion, and September provides a clean side-by-side case.

 

 

The difference originates in sample and weighting. S&P Global's sampling reaches more small and mid-sized firms while ISM's membership skews larger, so the two can legitimately register different conditions in the same period. More importantly, the reference lines differ, since ISM explicitly notes that a manufacturing reading above 47.5 corresponds to expansion in the overall economy, reflecting the fact that US manufacturing has contracted structurally for years while the broader economy grew, so a plain 50 line overstates the recessionary signal.

 

The detail of September's ISM report bears comparison as well. The headline came in at 54.5, down from 54.6 in August and expanding for a ninth consecutive month, with new orders up from 53.7 to 55.3, production down from 58.3 to 56.7, employment up from 51.2 to 52.7, inventories down from 50.6 to 48.6, and prices jumping from 71.1 to 77.9. Susan Spence, chair of the survey committee, attributed the price pressure to steel and aluminium increases, tariffs on imported goods, and higher petroleum-based costs tied to the Middle East conflict.

 

In practice the two are best treated as complements rather than substitutes. S&P Global's flash provides the earliest signal, ISM provides confirmation from a differently structured sample, and reliability rises substantially when they agree. In September both showed expansion with intensifying price pressure, and that agreement is precisely why hawkish pricing took hold.

 

 

Understanding the market impact requires establishing the current policy starting point.

 

The Fed raised rates 25 basis points to 3.75% to 4.00% in September, the first hike since July 2023 after a pause dating to late 2025. The dot plot shows 16 of 18 participants expecting at least one more hike within 2026 and four seeing the possibility of two, with the median end-2026 projection lifted from 3.8% in June to 4.1%. Chair Kevin Warsh framed it as inflation being too high and having been so for too long. The backdrop included August consumer prices rising 0.4% month over month and 3.4% year over year, unemployment at 4.1%, payrolls up 162,000, and crude oil topping $100 per barrel in early September.

 

How market pricing has moved illustrates the mechanism directly. On September 23, the day the flash arrived, October hike odds climbed to 64% and long-dated Treasury yields touched 19-year highs. As of October 20, the October 27 and 28 meeting is priced at 83% hold, 16% hike, split between 15% for 25 basis points and 1% for 50, and 1% cut, while a hike at the December 8 and 9 meeting has become the leading outcome at roughly 81%. The market, in short, moved the hike from October to December, and the October PMI falls between those two meetings as a key input to repricing.

 

Three data combinations produce three different outcomes.

 

Under strong growth with strong prices, the composite holding above 58 while selling prices keep rising, December hike pricing consolidates further and could even push October odds back up. That favours the dollar, hurts long-dated Treasuries, and works against risk assets including bitcoin, since rising real rates compress valuations and liquidity at the same time.

 

Under moderating growth with sticky prices, manufacturing and services easing toward or slightly below consensus while price components hold, the setup becomes hardest to trade. It supports neither a hike nor a cut, markets more likely turn to waiting for November and December inflation data, and volatility shows up as directionless two-way movement.

 

Under growth and prices moderating together, the composite clearly missing consensus while input and selling prices both slow, December hike pricing weakens. That is the most favourable case for risk assets, though the strength of the employment component limits how far the interpretation can run, since the Fed has more room to prioritise inflation while the labour market holds up.

 

Bitcoin's response within this framework is indirect, with transmission running from the size of the data surprise into rate expectations, then through the dollar and real rates into risk assets, a chain between monetary policy and bitcoin covered in Fed policy and Bitcoin. As of 6:06 p.m. Eastern on October 19, bitcoin traded near $82,036, up 0.38% over twenty four hours, for a market capitalisation around $1.65 trillion.

 

Follow BTC spot pricing and volume on MEXC to track the move after the PMI release, where the pair trades as BTC against USDT.

 

 

For James Mitchell, the thing to watch in this release is not the composite but the selling price component, because the inputs to the policy function have changed. When the Fed is on a cutting path, markets care whether growth is stalling, which makes new orders and employment paramount. When the Fed has just restarted hiking and points to another move within the year, markets care whether inflation will recede, which makes the price components the variable that sets pricing. September demonstrated that shift cleanly, since strong output and hiring did not by themselves lift hike odds, while what actually drove long yields to 19-year highs was the steepest input cost increase in four years combined with the pricing power that rising backlogs confer.

 

Two misreadings recur. The first treats the flash as final. September manufacturing was revised from a 57.0 flash to a 55.9 final, a full 1.1 points, and markets completed a round of repricing in between. The informational value of a flash lies in timeliness rather than precision, and revision risk on flash manufacturing is systematically higher than on services, so an extreme single manufacturing flash deserves a discount. The second conflates the S&P Global and ISM reference lines. ISM states explicitly that manufacturing above 47.5 corresponds to overall economic expansion while S&P Global uses 50, so applying the latter standard to the former yields excessive pessimism near the 50 mark. In September both data sets showed expansion yet implied growth of 5% and 2.4%, a direct expression of their differing construction and samples.

 

For cross-asset investors, the practical significance of this release lies in how firmly December pricing holds. With a December hike near 81%, the market already treats it as the base case, so an in-line PMI will not generate much volatility and even a strong upside surprise has limited marginal effect because the space is already occupied. What can actually generate volatility is a clear downside miss, because that requires the market to retreat from a high-consensus position, and reversals of that kind tend to be sharper than reinforcements.

 

For bitcoin, its position in the chain needs to be clear. It does not react to PMI directly but to changes in the dollar and real rates, so the proper observation sequence runs from the size of the surprise, to the immediate move in two-year and ten-year Treasury yields and the direction of the dollar, and only then to risk assets following. With the Fed back in hiking mode, any improvement in liquidity expectations needs actual disinflation to support it, and the component data has not yet provided that evidence.

 

 

 

S&P Global releases flash US purchasing managers' index readings for October at 9:45 a.m. Eastern on October 23, which is 21:45 the same day in Singapore, with manufacturing, services and composite output published together. The timing falls fifteen minutes after the US equity open, so equities, Treasuries and currencies all react at once. Final readings typically follow about two weeks later with the full survey response included.

 

 

Per TD Economics, consensus for October stands at 55.5 for manufacturing and 57.9 for services, with no public figure for the composite. Final September readings were 55.9 for manufacturing, 58.8 for services and 58.4 for the composite. That set of expectations assumes growth moderates from a five-year high while staying firmly in expansion, so manufacturing near 55 and services near 58 would count as in line.

 

 

A reading of 50 means no change from the prior month, above 50 indicates expansion and below indicates contraction, with distance from 50 reflecting the breadth of change rather than its magnitude. Reference lines differ by data set, since ISM states explicitly that a manufacturing reading above 47.5 corresponds to expansion in the overall economy, reflecting years of structural contraction in US manufacturing alongside overall growth. Applying the 50 line to ISM manufacturing produces excessive pessimism near that level.

 

 

They differ in compiler, sample and construction. S&P Global publishes twice monthly as flash and final, samples on a stratified basis by industry and company size with a higher share of small and mid-sized firms, and builds its manufacturing index as a weighted composite of five components. ISM publishes once monthly, samples member companies skewed toward larger firms, and equal-weights the same five components. In September both showed expansion, yet the S&P Global composite implied roughly 5% annualised growth against about 2.4% from ISM manufacturing.

 

 

In the current policy setting it is the price components, especially selling prices, because the Fed restarted hiking in September and its dot plot points to another move within the year, shifting the decision input from whether growth is stalling to whether inflation will recede. September input costs rose at the steepest rate in nearly four years on fuel and transport costs driven by oil, while backlogs grew at the sharpest pace since May 2022, which converts into corporate pricing power and then into selling prices.

 

 

It will, though by changing how firmly the pricing holds rather than by deciding the outcome alone. The Fed hiked to 3.75% to 4.00% in September, and as of October 20 markets price the October 27 and 28 meeting at 83% hold against 16% hike, while a hike at the December 8 and 9 meeting leads at roughly 81%. Since a December hike is already the base case, in-line or firmer data carries limited marginal effect, and only a clear downside miss would force markets to retreat from it.

 

 

Indirectly. Transmission runs from the size of the data surprise into rate expectations, then through the dollar index and real rates into risk asset valuations and liquidity expectations, and only then into the bitcoin price. In practice the observation sequence therefore starts with the deviation from consensus, then the immediate move in two-year and ten-year Treasury yields and the direction of the dollar. As of 6:06 p.m. Eastern on October 19, bitcoin traded near $82,036 for a market capitalisation around $1.65 trillion.

 

 

The information above is provided for general market information and analysis only and does not constitute investment advice, financial advice, legal advice, tax advice or a recommendation to trade. Macroeconomic data and asset prices can both move sharply, and historical relationships, survey indicators and market-implied probabilities do not guarantee future results. The index values, consensus forecasts, rate pricing probabilities and asset prices cited here reflect publicly available information at the time of publication, flash economic data can be materially revised in final readings, market-implied probabilities change continuously, and actual policy decisions are determined by the official statements of the Federal Open Market Committee. The response of digital assets to macroeconomic data is indirect and unstable, with no reliable fixed relationship. Readers should conduct their own research and make decisions based on their own financial circumstances, investment objectives and risk tolerance, consulting a qualified professional where appropriate. The MEXC Crypto Pulse team accepts no liability for any direct or indirect loss arising from the use of this information.

 

 

James Mitchell specializes in technical analysis, market trends, and trading strategies for both Bitcoin and altcoins. Based in London, he has over 10 years of experience in financial markets. Before joining MEXC Learn, James worked as a senior analyst at a leading European investment firm, where he developed expertise in risk management and quantitative trading. His transition to cryptocurrency markets began in 2017, and he has since become recognized for his data-driven approach. He holds a Master's degree in Financial Economics from the London School of Economics. His analytical approach combines traditional technical analysis with on-chain metrics to provide readers with actionable insights.

 

Areas of Expertise: Technical Analysis, Market Trends and Cycles, Trading Strategies, Bitcoin and Altcoin Analysis, Risk Management.

 

 

 

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