Deep Dive

National Financial Conditions Index

Weekly Chicago Fed National Financial Conditions Index. Positive readings indicate tighter-than-average U.S. financial conditions, while negative readings indicate looser-than-average conditions; the change metric shows the week-to-week move.

Leading
Weekly, Ending FridayFRED · NFCIIndex3M S&P +5.8% · 130 obs

Source: NFCI via FRED, Federal Reserve Bank of St. Louis. See the FRED series notes for original source attribution.

Time Series

The range selector drives the backend statistics on the right. The slider below only zooms the chart slice, while fixed-horizon deltas stay anchored to the latest observation.

Latest reading
-0.459
Latest change
+0.008
Observation
Oct 30, 2026
Release
Nov 04, 2026
Frequency
Weekly, Ending Friday
Unit
Index
Last updated
Nov 04, 2026, 07:37 AM
Nov 05, 2021Oct 30, 2026

Showing 261 of 261 points.

Direction & Persistence

Direction stats use the selected 5Y window and persistence shows how sticky that move has been.

Up Prob (5Y)43.4%
CI9537.4% - 49.6%
Comparisons260
Directional Pairs251
Flat Pairs9
Current Streak8 up move
Continuation92.0%
Reversals20
Longest Up25
Longest Down26

Acceleration

Acceleration compares the latest move with the prior move inside the selected window.

StateDecelerating
Latest Move+0.008
Previous Move+0.027
Delta Change-0.019
Delta Change %-70.4%
Comparisons259
Direction PairUp -> Up
Same DirectionYes
Size Ratio0.296x
Magnitude Shift70.4% smaller

Forward Returns After Similar Readings

Compare what index benchmarks did after historical readings with the same regime and quantile setup as today in the selected 5Y window.

Regime: NormalQuantile: 40-60%

How To Read This

Use this tab for the original question: when old releases looked like today's reading, what happened next?

What counts as a match: It matches old releases by today's regime and quantile, so the comparison stays close to the existing forward-returns view.

Simple example: If today's payrolls are in a normal regime and middle quantile, this tab looks for prior payroll releases that were also normal and middle-range.

Read the card: A 3M avg of +1.2% means the benchmark averaged +1.2% over the next three months after those matching releases.

Current Setup Summary

This release maps to the Normal regime and 40-60% historical bucket. The cards compare only prior releases with that same setup.

Regime compares the reading with its normal range using z-score bands: extreme low, low, normal, high, or extreme high.

Quantile ranks the reading against history using percentile buckets, such as bottom 20% or top 20%.

  1. Start with the 3M avg: it is the average market return after similar releases.
  2. Use positive cases to see whether that move happened consistently, not just because of a few large outcomes.
  3. Use samples as confidence: more similar cases make the base rate more trustworthy.

Use this to frame risk and upside; it is historical context, not a standalone forecast.

S&P 500 Index

Regime: Normal

S&P 500 Index averaged +5.8% over the next 3M; 85.4% of 130 similar cases were positive.

S&P 500 Index

Quantile: 40-60%

S&P 500 Index averaged +4.8% over the next 3M; 71.0% of 31 similar cases were positive.

Nasdaq Composite

Regime: Normal

Nasdaq Composite averaged +7.6% over the next 3M; 83.1% of 130 similar cases were positive.

Nasdaq Composite

Quantile: 40-60%

Nasdaq Composite averaged +7.4% over the next 3M; 74.2% of 31 similar cases were positive.

Calculation Method
  1. Start from each macro release date, then use the first market close available on or after that release.
  2. Classify the macro reading two ways: regime uses z-score distance from normal, while quantile uses historical percentile rank.
  3. Measure forward returns over 5D, 1M, 3M, 6M, and 12M using 5, 21, 63, 126, and 252 trading days.
  4. Forward return equals end close minus start close, divided by start close, multiplied by 100.
  5. For each matching bucket, aggregate mean, median, positive cases, standard deviation, worst drawdown, and sample count. Incomplete windows are skipped.

Example Calculation

If a matching macro release starts from an S&P 500 close of 5,000 and the 3M close is 5,250, the forward return is (5,250 - 5,000) / 5,000 * 100 = +5.0%.

If 22 of 26 matching 3M windows are above 0%, positive cases are 22 / 26 = 84.6%.

S&P 500 Index

Latest close Nov 09, 2026

Regime

Normal

Current

3M avg

+5.8%

Positive cases

85.4%

Samples

130

1M avg

+1.8%

12M avg

+19.9%

Worst 3M drawdown

-13.7%

Quantile

40-60%

Current

3M avg

+4.8%

Positive cases

71.0%

Samples

31

1M avg

+2.8%

12M avg

+22.6%

Worst 3M drawdown

-13.0%

Full Regime + Quantile Stats

This expands every historical bucket, not just the current one. Use it to compare today's setup against other macro states; the current bucket is marked.

Avg return

Mean market return after matching releases.

Median

Typical case, less sensitive to outliers.

Positive

Share of cases above 0%; tiny samples show counts.

Score

Shown under each bucket name: z-score for regimes, percentile for quantiles.

Volatility

Standard deviation of forward returns; needs at least two samples.

Worst DD

Worst intra-window drawdown among matching cases.

Samples

Number of complete historical windows.

Regime Stats

BucketHorizonAvgMedianPositiveVolatilityWorst DDSamples
RegimeLowZ-score: -1.53 to -1.005D+0.2%+0.1%55.8%1.5%-3.6%77
1M+0.6%+1.2%67.5%3.0%-10.1%77
3M+1.7%+3.1%67.6%5.6%-18.9%71
6M+6.8%+7.5%82.8%4.8%-18.9%64
12M+16.3%+15.7%100.0%3.9%-18.9%47
RegimeNormalZ-score: -1.00 to +0.99Current5D+0.4%+0.5%59.6%2.2%-10.5%136
1M+1.8%+1.9%69.2%4.3%-13.7%133
3M+5.8%+5.5%85.4%5.8%-13.7%130
6M+10.1%+11.9%88.7%9.4%-23.6%124
12M+19.9%+22.2%93.0%11.8%-25.4%114
RegimeHighZ-score: +1.00 to +1.995D-0.5%-1.1%35.0%3.1%-6.2%40
1M-1.4%-1.0%47.5%6.1%-12.8%40
3M-2.4%-4.2%37.5%7.2%-20.8%40
6M-2.8%-1.5%40.0%9.3%-21.8%40
12M+5.2%+8.0%67.5%11.7%-25.4%40
RegimeExtreme HighZ-score: +2.02 to +2.585D+1.3%+0.6%57.1%3.4%-3.7%7
1M+3.3%+4.4%71.4%3.5%-6.8%7
3M-7.2%-7.5%14.3%6.6%-20.8%7
6M-4.9%-4.8%14.3%5.2%-20.8%7
12M-4.3%-7.9%14.3%9.5%-22.8%7

Quantile Stats

BucketHorizonAvgMedianPositiveVolatilityWorst DDSamples
QuantileBottom 20%Percentile: 1.4% to 19.5%5D+0.3%+0.3%59.8%1.5%-4.3%97
1M+0.9%+1.3%70.1%3.1%-12.4%97
3M+2.4%+3.8%74.7%5.3%-18.9%91
6M+6.7%+7.5%80.2%6.1%-18.9%81
12M+17.0%+16.5%98.4%5.5%-18.9%64
Quantile20-40%Percentile: 20.4% to 40.0%5D+0.3%+0.3%55.2%2.3%-10.5%67
1M+1.7%+1.9%67.7%4.2%-13.7%65
3M+7.0%+6.8%93.5%5.2%-13.7%62
6M+13.1%+13.9%96.6%6.9%-22.4%59
12M+19.9%+18.7%98.0%9.5%-24.3%49
Quantile40-60%Percentile: 40.7% to 60.0%Current5D+0.4%+0.7%62.5%2.7%-5.7%32
1M+2.8%+3.4%71.0%4.7%-9.8%31
3M+4.8%+4.4%71.0%7.4%-13.0%31
6M+10.1%+9.2%90.3%10.3%-23.6%31
12M+22.6%+25.0%90.3%13.5%-25.4%31
Quantile60-80%Percentile: 62.5% to 80.0%5D-0.1%-0.2%40.0%2.0%-4.2%15
1M-1.8%-1.9%46.7%5.0%-9.3%15
3M+0.8%-0.4%46.7%6.7%-16.9%15
6M+1.8%+4.5%60.0%10.3%-23.6%15
12M+12.5%+14.4%86.7%14.7%-25.4%15
QuantileTop 20%Percentile: 81.4% to 100.0%5D+0.0%-0.4%43.5%3.2%-6.2%46
1M-0.1%+0.2%56.5%5.9%-12.8%46
3M-1.5%-2.8%43.5%8.0%-20.8%46
6M-1.6%-0.8%45.7%9.1%-21.8%46
12M+6.7%+10.3%63.0%12.9%-25.4%46

Nasdaq Composite

Latest close Nov 09, 2026

Regime

Normal

Current

3M avg

+7.6%

Positive cases

83.1%

Samples

130

1M avg

+2.4%

12M avg

+25.7%

Worst 3M drawdown

-20.7%

Quantile

40-60%

Current

3M avg

+7.4%

Positive cases

74.2%

Samples

31

1M avg

+4.5%

12M avg

+30.0%

Worst 3M drawdown

-20.5%

Full Regime + Quantile Stats

This expands every historical bucket, not just the current one. Use it to compare today's setup against other macro states; the current bucket is marked.

Avg return

Mean market return after matching releases.

Median

Typical case, less sensitive to outliers.

Positive

Share of cases above 0%; tiny samples show counts.

Score

Shown under each bucket name: z-score for regimes, percentile for quantiles.

Volatility

Standard deviation of forward returns; needs at least two samples.

Worst DD

Worst intra-window drawdown among matching cases.

Samples

Number of complete historical windows.

Regime Stats

BucketHorizonAvgMedianPositiveVolatilityWorst DDSamples
RegimeLowZ-score: -1.53 to -1.005D+0.2%+0.3%51.9%2.1%-5.0%77
1M+0.8%+1.4%66.2%4.1%-13.7%77
3M+2.2%+3.5%66.2%8.6%-23.9%71
6M+8.3%+8.9%87.5%6.5%-24.3%64
12M+20.3%+20.4%100.0%6.3%-24.3%47
RegimeNormalZ-score: -1.00 to +0.99Current5D+0.5%+0.6%60.3%3.0%-11.4%136
1M+2.4%+2.1%69.9%6.2%-16.4%133
3M+7.6%+7.8%83.1%8.4%-20.7%130
6M+13.7%+15.9%89.5%13.2%-32.9%124
12M+25.7%+30.0%93.0%16.8%-35.5%114
RegimeHighZ-score: +1.00 to +1.995D-0.8%-1.9%35.0%3.6%-6.9%40
1M-2.8%-2.8%30.0%6.9%-16.6%40
3M-5.2%-6.0%27.5%9.7%-27.2%40
6M-6.5%-6.9%25.0%12.7%-31.9%40
12M+6.6%+12.2%70.0%18.6%-35.7%40
RegimeExtreme HighZ-score: +2.02 to +2.585D+1.5%+1.5%57.1%4.2%-4.2%7
1M+3.5%+4.4%71.4%5.4%-11.0%7
3M-11.7%-14.3%14.3%8.4%-27.2%7
6M-8.5%-8.6%0.0%5.1%-27.2%7
12M-8.4%-13.4%14.3%13.7%-30.1%7

Quantile Stats

BucketHorizonAvgMedianPositiveVolatilityWorst DDSamples
QuantileBottom 20%Percentile: 1.4% to 19.5%5D+0.3%+0.4%56.7%2.1%-5.5%97
1M+1.0%+1.6%69.1%4.1%-14.7%97
3M+3.1%+3.9%71.4%7.9%-23.9%91
6M+8.2%+8.9%84.0%8.2%-24.3%81
12M+21.6%+21.6%98.4%8.2%-24.3%64
Quantile20-40%Percentile: 20.4% to 40.0%5D+0.4%+0.2%55.2%3.1%-11.4%67
1M+2.2%+1.7%69.2%6.2%-16.4%65
3M+8.2%+8.3%85.5%7.9%-17.2%62
6M+16.1%+17.3%96.6%9.8%-29.9%59
12M+24.2%+24.6%98.0%12.4%-32.8%49
Quantile40-60%Percentile: 40.7% to 60.0%Current5D+0.6%+1.8%62.5%3.6%-7.6%32
1M+4.5%+4.3%74.2%6.5%-15.7%31
3M+7.4%+6.6%74.2%10.2%-20.5%31
6M+15.0%+16.6%90.3%15.3%-32.8%31
12M+30.0%+33.6%90.3%19.3%-35.5%31
Quantile60-80%Percentile: 62.5% to 80.0%5D-0.1%-0.2%46.7%2.7%-4.9%15
1M-2.2%-5.4%40.0%7.9%-14.7%15
3M+2.4%+3.2%66.7%12.1%-21.4%15
6M+5.9%+10.2%66.7%18.0%-32.9%15
12M+19.2%+27.4%86.7%23.6%-35.0%15
QuantileTop 20%Percentile: 81.4% to 100.0%5D-0.2%-1.3%43.5%3.8%-6.9%46
1M-1.0%-0.8%41.3%6.8%-16.6%46
3M-3.3%-4.9%34.8%11.0%-27.2%46
6M-3.9%-4.7%30.4%12.1%-31.9%46
12M+8.7%+15.1%65.2%18.9%-35.0%46