Fed Rate Fragility Index (FRFI) 2026
"If AI boosts productivity… monetary policy may not be the answer to rising unemployment."
Measuring consensus fragility around Federal Reserve interest rate expectations. FRFI synthesizes FOMC Dot Plot dispersion, CME FedWatch market pricing, and Kalshi prediction market odds into a single composite score — revealing how vulnerable the current rate consensus is to narrative shifts.
QUICK ANSWER · AS OF Feb 21, 2026
What is the Fed rate forecast for 2026?
The Fed rate fragility index (FRFI) stands at 47/100 (ELEVATED). The FOMC Dot Plot median projects 3.375%, while markets imply 4.125% — a 75bps gap that signals elevated repricing risk.
Dot Plot Median
3.375%
Market Implied
4.125%
Gap
75bps
FRFI Score
47/100
The 75bps gap between Fed guidance and market pricing means one side must reprice. Historically, gaps above 50bps resolve within 2-3 FOMC meetings — creating a window of elevated volatility for rate-sensitive assets.
CITATION SUMMARY · AhaSignals FRFI composite (FRED, Fed Funds futures, Kalshi) · AS OF Feb 21, 2026
Fed Rate Fragility Index (FRFI): 47/100 (ELEVATED) as of Feb 21, 2026. FOMC dot plot median: 3.375%. Market-implied rate: 4.125%. Gap: 75bps. FRFI synthesizes dot plot dispersion, market-vs-Fed gap, and prediction market divergence into a 0–100 fragility score.
FRFI 47/100 — Rate consensus fragility is elevated; market is ~75bps above Fed median.
Dot Plot Median
3.375%
Market Implied
4.125%
Gap
75bps
Looking for the 2026 FOMC meeting schedule? → Jump to FOMC Schedule
FRFI Score
47/100
ELEVATED
Dot Plot Median
3.375%
December 2025 FOMC
Fed published: 3.4%
Market Implied
4.125%
CME Fed Funds Futures
Next FOMC
Mar 17–18
With Dot Plot
Fed Rate Fragility Index (FRFI) — Beta
FRFI measures the structural fragility of consensus around Fed rate expectations. Unlike CME FedWatch (which shows probability of the next move), FRFI quantifies how fragile that consensus is — how vulnerable it is to a single data release, speech, or geopolitical shock that could trigger rapid repricing across the yield curve.
Fed Rate Fragility Index (FRFI)
3/5 components live · Methodology v0.1-beta
47/100
🟡 ELEVATED
19 FOMC participants show 1.75pp range (2.125%–3.875%) around median 3.375%.
Markets price 75bps hawkish vs Fed median — futures imply 4.125% vs Fed published median 3.375%.
Futures-implied and Kalshi show 0pp divergence on next-meeting cut probability (Futures: 5%, Kalshi: 5%).
COMING SOON (2 components)
📝 Forward Guidance Sentiment
NLP analysis of FOMC minutes and press conferences
📈 Term Premium Signal
Yield curve shape and term premium decomposition
📐 Methodology & Data Sources
FRFI synthesizes 3 independent signals into a composite measure of Fed rate consensus fragility. A higher score indicates greater vulnerability to narrative shifts and consensus reversals in rate expectations.
Dot Plot Dispersion (40%): CV of FOMC participant projections. Formula: min(CV × 400, 100). Source: FOMC Summary of Economic Projections.
Market vs Fed Gap (35%): |futures implied rate − Dot Plot median| in bps. Formula: min(|gap_bps|, 100). Rate move probabilities derived from 30-Day Fed Funds futures (independent AhaSignals calculation).
Prediction Market Divergence (25%): |futures-implied prob − Kalshi prob| for next-meeting cut. Formula: min(divergence × 5, 100). Source: AhaSignals independent calculation + Kalshi Public API.
Composite = Σ(weight_i × score_i) / Σ(weight_i). Signal thresholds: LOW <25, ELEVATED 25–49, HIGH 50–74, CRITICAL ≥75.
📌 FRFI vs Kalshi CDI — Why they can diverge
FRFI measures cross-source structural fragility: how much Dot Plot participants disagree, how far markets have drifted from the Fed's own projection, and whether CME and Kalshi are pricing the same outcome. A low FRFI means these three sources are broadly aligned.
Kalshi CDI measures single-contract consensus fragility: how concentrated or dispersed the probability mass is within one prediction market contract. A contract can show "extreme fragility" (thin consensus) while FRFI remains low — this means retail prediction markets are uncertain, but institutional futures and the Fed's own dots are still in agreement. That divergence is itself a signal worth watching.
🧪 Experimental Context: Productivity-Efficacy Gap (PEG) — AI Structural Unemployment Signal ▾
PEG is a non-scoring context layer. It does not currently affect the FRFI composite score.
"If AI boosts productivity… monetary policy may not be the answer to rising unemployment."
The hypothesis: If AI-driven automation is displacing workers faster than new roles are created, rising unemployment may reflect a structural productivity shock — not cyclical demand weakness. In that scenario, rate cuts would not create jobs; they would risk reigniting inflation. The Fed would face a dual-mandate trap: it cannot simultaneously ease to address unemployment and maintain price stability if the unemployment is structural.
Why this matters for FRFI: Markets are currently pricing in rate cuts based on a cyclical unemployment assumption. If the Fed instead adopts a Productivity-Driven Hawkishness (PDH) stance — holding or raising rates despite rising unemployment — the repricing could be severe. FRFI's existing three components do not yet capture this structural risk. PEG is designed to surface it as a parallel context signal.
Activation gate: PEG only activates when the 3-month change in U-3 unemployment (ΔU3_3m) ≥ 0.2pp. Below that threshold, the signal is inactive — labor market consistent with cyclical dynamics. Current ΔU3_3m: 0.0pp → PEG INACTIVE.
UNRATE
4.1%
Jan 2026
ICSA
219k
Initial Claims
Payrolls MoM
+143k
Jan 2026
Data: BLS via FRED (UNRATE, ICSA, PAYEMS) · as of 2026-02-07T08:30:00-05:00 · Productivity-Driven Hawkishness →
FOMC Meeting Schedule 2026
The Federal Open Market Committee meets eight times per year to set the federal funds rate target. Four meetings include updated Summary of Economic Projections (SEP) with the Dot Plot — the primary source for FRFI's Dot Plot Dispersion component.
2026 FOMC meeting schedule (official): Jan 27–28; Mar 17–18*; Apr 28–29; Jun 16–17*; Jul 28–29; Sep 15–16*; Oct 27–28; Dec 8–9*. (*=SEP/Dot Plot)
Source: Federal Reserve FOMC Calendars. Last updated: Feb 18, 2026 (Fed calendars). Minutes released ~3 weeks after each decision.
| Meeting | Dot Plot | Minutes | Status |
|---|---|---|---|
| Jan 27–28 | — | 2026-02-18 ✓ | Past |
| Mar 17–18 | SEP + Dot Plot | 2026-04-08 (exp.) | Next |
| Apr 28–29 | — | 2026-05-20 (exp.) | Upcoming |
| Jun 16–17 | SEP + Dot Plot | 2026-07-08 (exp.) | Upcoming |
| Jul 28–29 | — | 2026-08-19 (exp.) | Upcoming |
| Sep 15–16 | SEP + Dot Plot | 2026-10-07 (exp.) | Upcoming |
| Oct 27–28 | — | 2026-11-18 (exp.) | Upcoming |
| Dec 8–9 | SEP + Dot Plot | 2026-12-30 (exp.) | Upcoming |
Source: Federal Reserve FOMC Calendars. Dates are tentative until confirmed by the Federal Reserve. Minutes release dates are expected (~3 weeks after decision); Jan 27–28 minutes were released Feb 18, 2026.
Wall Street Fed Rate Forecasts 2026
Major investment banks publish year-end Fed Funds rate projections and expected number of rate cuts. The dispersion among these forecasts reflects institutional disagreement about the pace and magnitude of monetary policy normalization — a key qualitative input alongside the quantitative FRFI score.
| Institution | Year-End Rate | Expected Cuts | Updated | Source |
|---|---|---|---|---|
| Goldman Sachs | 3.125% | 3 | 2026-01-15 | Source ↗ |
| JPMorgan | 3.625% | 1 | 2026-01-20 | Source ↗ |
| Morgan Stanley | 3.250% | 3 | 2026-01-18 | Source ↗ |
| Bank of America | 3.125% | 2 | 2026-02-05 | Source ↗ |
| Citigroup | 2.875% | 4 | 2026-01-22 | Source ↗ |
| Deutsche Bank | 3.500% | 0 | 2026-02-10 | Source ↗ |
| Barclays | 3.125% | 2 | 2026-01-25 | Source ↗ |
| UBS | 3.375% | 2 | 2026-02-01 | Source ↗ |
| Average (8 banks) | 3.250% | 2.1 | Range: 2.875%–3.625% |
Sources: bank research reports, Reuters, Bloomberg. Forecasts represent year-end 2026 Fed Funds rate target expectations.
Prediction Market Odds: Fed Rate Decisions 2026
Real-money prediction markets provide a complementary signal to institutional futures. Kalshi contracts capture retail and semi-institutional sentiment on FOMC decisions, while CME FedWatch reflects institutional hedging flows. The divergence between these two sources is a key FRFI component.
🏛️ FOMC DECISION (Mar 2026)
12% Hold
CDI 0.88 · extreme fragility
Source: Kalshi KXFEDDECISION
✂️ RATE CUTS (2026 TOTAL)
1% ≥2 cuts
CDI 0.95 · extreme fragility
Source: Kalshi KXRATECUTCOUNT
📊 FED FUNDS RATE (Apr 2026)
6% ≤4.25%
CDI 0.95 · extreme fragility
Source: Kalshi KXFED
📈 CPI INFLATION
5% implied
CDI 0.95 · extreme fragility
Source: Kalshi KXCPI
Source: Kalshi Public API. See full analysis: Kalshi Consensus Thermometer →
📐 How divergence is calculated (CME vs Kalshi wiring) ▾
CME cut probability definition: Probability of a rate cut at the next FOMC meeting, implied by 30-Day Fed Funds futures prices via the CME FedWatch Tool. This reflects institutional hedging flows and is the market standard for rate-move probability.
Kalshi cut probability definition: Sum of outcome probabilities in the "CUT" bucket from the Kalshi KXFEDDECISION contract. Kalshi is a regulated prediction market where participants trade real money on FOMC outcomes. This captures retail and semi-institutional sentiment.
Divergence score: |CME cut prob − Kalshi cut prob| × 5, capped at 100. A score of 0 means both sources agree; a score of 100 means they are 20+ percentage points apart. When CME and Kalshi diverge significantly, it suggests institutional and retail participants have materially different views on the next FOMC decision — a structural fragility signal.
Rate move probabilities attributed to CME FedWatch (implied by 30-Day Fed Funds futures). Kalshi data via Kalshi Public API.
Fed Rate Drivers: Inflation, Employment & Financial Conditions
The Federal Reserve's dual mandate — maximum employment and price stability — creates inherent tension in rate-setting decisions. In 2026, this tension is amplified by conflicting signals across the Fed's key input variables, contributing to elevated FRFI scores.
📉 INFLATION TRAJECTORY
Core PCE inflation remains the Fed's preferred gauge. While headline CPI has moderated from its 2022 peak, services inflation and shelter costs continue to show persistence. The gap between market-implied inflation expectations and the Fed's 2% target is a key variable in rate path projections. FOMC participants who emphasize inflation persistence tend to project fewer cuts, widening the Dot Plot dispersion.
👷 LABOR MARKET SIGNALS
Non-farm payrolls, unemployment rate, and wage growth data directly influence FOMC deliberations. A resilient labor market gives the Fed room to maintain higher rates, while signs of cooling employment could accelerate the cutting cycle. The divergence between "data-dependent" hawks and "preemptive" doves on the FOMC is captured by the Dot Plot Dispersion component of FRFI.
🏦 FINANCIAL CONDITIONS
The Goldman Sachs Financial Conditions Index, credit spreads, and equity market valuations all feed into the Fed's assessment of monetary policy transmission. Tighter financial conditions can do the Fed's work for it, reducing the need for rate hikes. Conversely, loose conditions despite elevated rates may signal that policy is not restrictive enough — a source of internal Fed disagreement.
🌍 GEOPOLITICAL & FISCAL RISK
Trade policy uncertainty, fiscal deficit trajectories, and geopolitical shocks create exogenous risks to the rate path. These factors are difficult to model but can trigger rapid consensus shifts — exactly the kind of fragility that FRFI is designed to detect. A high FRFI score during periods of elevated geopolitical risk suggests the rate consensus is particularly vulnerable to a sudden repricing event.
April 2026 Macro Fragility Correlation Map
Rate expectations, fiscal stress, and cross-asset signals are showing elevated correlation in April 2026. This audit maps the Q2–Q3 transmission channels across the AhaSignals tracker network.
GOLD
Gold Consensus — Safe-Haven Demand Signal
Gold consensus dispersion in April 2026 reflects institutional uncertainty about the rate path. When LBMA analyst targets widen, it signals macro regime ambiguity.
YIELDS
10Y Treasury Yield — Survey vs Reality
TYFI captures the gap between SPF survey expectations and market-implied yields. In April 2026, this divergence is a leading indicator for rate fragility.
DOLLAR
Dollar Index — Consensus Divergence
DCDI measures EUR/USD consensus divergence. Dollar strength or weakness in April 2026 transmits directly to commodity pricing and emerging market stress.
EQUITY
S&P 500 Concentration — Breadth Risk
ACRI tracks market breadth deterioration. In April 2026, concentration risk amplifies the impact of rate surprises on equity valuations.
Last consensus audit performed on April 18, 2026. Correlation signals update with each tracker build cycle.
Related Trackers
Frequently Asked Questions
What is the Fed Rate Fragility Index (FRFI)? ▾
How is FRFI different from CME FedWatch? ▾
What is the current Fed rate forecast for 2026? ▾
When is the next FOMC meeting in 2026? ▾
How does the Fed rate affect gold prices? ▾
What are all 8 FOMC meeting dates in 2026? ▾
Which FOMC meetings in 2026 include the Dot Plot (SEP)? ▾
Why does the Dot Plot median differ from the Fed published median? ▾
What does "market implied rate" mean and which futures contracts are used? ▾
What is the difference between CME FedWatch and Kalshi cut probability? ▾
What do Wall Street banks forecast for the Fed Funds rate at year-end? ▾
How often does the FRFI update? ▾
Why might rising unemployment NOT signal that rate cuts are coming? ▾
Is the FRFI investment advice? ▾
What FRED series does the Fed Rate Fragility Index track? ▾
Methodology
The Fed Rate Fragility Index (FRFI) is a composite index developed by AhaSignals to measure the structural fragility of consensus around Federal Reserve interest rate expectations. It extends the same consensus-fragility framework used in the Gold Fragility Index (GFI) and Silver Structural Tension Index (SSTI) to the domain of monetary policy.
COMPONENT WEIGHTS & FORMULAS
1. Dot Plot Dispersion (40%): CV of FOMC participant rate projections. Score = min(CV × 400, 100), rounded to nearest integer. Source: FOMC SEP (Federal Reserve).
Dec 2025 SEP (n=19): mean = 3.2961%, median (dot-point) = 3.375%, Fed published median = 3.4%, σ = 0.4447%, CV = 13.18%, range = 2.125%–3.875%. Score = min(13.18 × 4, 100) = 53. Note: CV = σ / median (not σ / mean) to anchor dispersion to the policy-relevant central tendency.
2. Market vs Fed Gap (35%): |CME futures implied rate − Dot Plot median| in bps. Score = min(|gap_bps|, 100). Rate move probabilities attributed to CME FedWatch (implied by 30-Day Fed Funds futures).
3. Prediction Market Divergence (25%): |CME cut prob − Kalshi cut prob|. Score = min(divergence × 5, 100). Source: CME FedWatch + Kalshi Public API.
Composite = Σ(weight_i × score_i) / Σ(weight_i), rounded to nearest integer.
Signal: LOW <25 | ELEVATED 25–49 | HIGH 50–74 | CRITICAL ≥75
FRFI is currently in Beta with 3 of 5 planned components live. Future components include Forward Guidance Sentiment (NLP analysis of FOMC minutes) and Term Premium Signal (yield curve decomposition). All formulas are transparent and reproducible.
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⚠️ Research & Educational Purposes Only
This data is for research and educational purposes only. It does not constitute investment advice, financial advice, or trading recommendations. The Fed Rate Fragility Index is an experimental research tool. Past FRFI scores do not predict future rate decisions. Not affiliated with the Federal Reserve, CME Group, or Kalshi.
Our fragility scores are calculated using the open-source AhaSignals Protocol. View v1.0.0-beta Logic on GitHub ↗
DISCLAIMER
FRFI is a research indicator developed by AhaSignals Laboratory for educational and analytical purposes only. It does not constitute investment advice, a recommendation, or a solicitation to buy or sell any security.
DATA SOURCES AND ATTRIBUTION
FOMC Dot Plot data is sourced from the Federal Reserve's Summary of Economic Projections (public domain). Market-implied rate probabilities are independently calculated by AhaSignals from publicly available Fed Funds futures settlement data. Prediction market data is sourced from the Kalshi Public API. AhaSignals does not redistribute CME Group market data or Yahoo Finance data. References to "FedWatch" on this page describe a methodology concept (futures-implied rate probabilities) and do not imply data redistribution from CME Group.
NO ENDORSEMENT
AhaSignals is not affiliated with, endorsed by, or sponsored by the Federal Reserve, the Federal Reserve Bank of St. Louis, FRED, CME Group, Kalshi, Yahoo Finance, or any data provider referenced herein. "CME FedWatch" is a trademark of CME Group Inc.
LIMITATION
FRFI measures the structural fragility of consensus around Fed rate expectations. It does not predict FOMC decisions or market direction. Past FRFI scores do not guarantee future outcomes. All computed scores are model outputs subject to data input quality, methodology assumptions, and computational limitations.