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Fed rate cut in December?

EconomicsDecember meetingSettles from Federal Reserve

ChatMarketNewsTools
You ask: The price moved to 68%. Is the case for a December cut actually stronger?
12:04 PM

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The case has strengthened, but not as much as the headline move suggests. YES is 68¢, up 6 points today and 26 points over the month. The useful distinction is between evidence for a cut and evidence that has already been priced in.

What changed in the evidence

  • Inflation: the sample core CPI release is +0.2% month-on-month, down from +0.3%. That supports easing, but shelter and services still account for most of the remaining pressure. One softer print is not yet a trend.
  • Labor: payroll growth slows to 118,000, with downward revisions to the prior two months. Wage growth of 3.6% suggests cooling without an abrupt contraction.
  • Policy: the latest statement keeps decisions data-dependent. There is room to cut, but no commitment to this meeting. Several articles repeat that same statement; I would count the underlying evidence once.

Pressure-test the assumptions

  • Softer inflation and another modest jobs report would reinforce a 25 bp cut. The sample outcome family prices that at 54%, versus 14% for a 50 bp cut and 32% for no cut. Those three outcomes sum to 100%; the two cut outcomes explain the headline 68%.
  • Persistent price pressure would weaken the timing argument. A +0.3% or higher core print, especially if services accelerate, could matter more than another dovish interview.
  • A sharp labor deterioration would change both the likelihood and the size of a cut. That is a different thesis from a gentle normalization path.

The strongest counterargument

Growth is still positive and policymakers can wait. A broad disinflation story can be right while a December-specific contract resolves NO. The settlement test is the actual target-range decision, not a speech or a futures-implied path.

Separate the thesis from the price

The book is 67¢ bid / 69¢ ask. A displayed 68% midpoint is not an executable price. Under a hypothetical 72% estimate, a YES bought at 69¢ has 3¢ of expected value per contract before fees; at 65%, that becomes −4¢. A few points of estimation error can reverse the conclusion.

What I would watch next

The next core inflation print, payroll revisions and the committee’s language about labor-market risks. I would update those three inputs independently, then revisit the scenario weights. The 20,000-path notebook is useful for visualizing price dispersion under its assumptions; it does not estimate whether the Fed will cut.

My read: the sample evidence supports a cut as the more plausible outcome. The remaining question is whether your probability estimate is strong enough to justify the price after costs—not whether a cut sounds likely.

12:04 PM
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Sample data

Fed rate cut in December?

EconomicsDecember meetingSettles from Federal Reserve

ChatMarketNewsTools
Chance of YES
68%▲+6 pts today

Up from 62% in the prior sample.

Yes price
68¢
No price
32¢
Spread
2¢
Volume 24h
2.4m
Open interest
1.1m
7-day range
59.7–78.6¢

Price history YES

720 hourly observations · Sample data
Largest daily moveNov 28 ▼−17 pts

Workspace

Expand all
How it resolvesDecember meeting · Federal Reserve
Outcome family25 bp cut 54% · 50 bp cut 14%
Order book67¢ bid · 69¢ ask · 2¢ spread
Recent tradesLast trade 68¢ · 140 contracts
Related marketsUS inflation · GDP growth
Contract detailsBinary contract · USD · Sample data

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Fed rate cut in December?

EconomicsDecember meetingSettles from Federal Reserve

ChatMarketNewsTools

Work in a notebook

Monte Carlo to resolution

How could a 68¢ price evolve over the next 18 days? Simulate 20,000 paths and inspect the range of outcomes.

20,000 simulated paths18 days horizon720 hours of history3 hours per simulation step
Code excerpt JavaScript · vq.mc · Seed 7
vq.mc.seed(7)var history = market.history.filter(p => !p.live)var hourlySd = vq.stats.std(vq.stats.diff(history.map(p => p.close)))var days = Array.from({ length: 145 }, (_, step) => step / 8)var paths = vq.mc.run(20000, () => {  var path = [market.price.yesCents]  for (var step = 1; step < days.length; step++) {    var shock = vq.mc.normal(0, hourlySd * Math.sqrt(3))    path.push(Math.min(99, Math.max(1, path[step - 1] + shock)))  }  return path})var fan = vq.plot.fan(paths, {  x: days, title: "20,000 possible price paths", xLabel: "Days ahead", yFmt: "cents"})paths.slice(0, 8).forEach((path, i) => fan.chart.series.push({  name: "Sample path " + (i + 1), points: path.map((y, step) => ({ x: days[step], y }))}))vq.show(fan)var finals = paths.map(path => path.at(-1))vq.show(vq.plot.hist(finals, { bins: 36, title: "Where the paths end", xLabel: "YES price (¢)" }))vq.show(vq.table([10, 50, 90].map(p => ({  measure: p === 50 ? "Median" : p + "th percentile", cents: vq.stats.quantile(finals, p / 100)})), { title: "Day 18 · Price percentiles" }))

Assumptions: zero drift, normally distributed three-hour shocks, volatility scaled from the hourly sample, prices bounded at 1–99¢. Bands show simulated price dispersion, not the probability of a rate cut.

Sample data20,000 paths · Captured notebook output

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