Will the upper bound of the target federal funds rate be ≥ 4.5% at the end of 2026?

The prediction market consensus for "Will the upper bound of the target federal funds rate be ≥ 4.5% at the end of 2026?" stands at 2.6%.

YES contracts trade at 2.6¢, while NO contracts trade at 96.5¢.

With medium liquidity and $1,775 in volume, pricing reflects active market participation.

Resolution Criteria

The FED rate is defined in this market by the upper bound of the target federal funds range. The decisions on the target federal fund range are made by the Federal Open Market Committee (FOMC) meetings.

This market will resolve according to the upper bound of the Federal Reserve’s target federal funds range after the December 2026 Federal Open Market Committee (FOMC) meeting, currently scheduled for December 8-9, 2026.

This market may resolve immediately after the statement for the FOMC’s December meeting, with relevant information about the FOMC’s decision on the target federal funds range, has been issued. If no FOMC decision on the target federal funds range for their December meeting has been issued by December 31, 2026, 11:59 PM ET, this market will resolve according to the upper bound of the target federal funds range at that time.

The upper bound of the target federal funds range will be rounded to the nearest 25 basis points for resolution of this market. If the upper bound of the target federal funds range falls exactly between two listed options, it will be rounded away from zero (e.g. if the upper bound is 2.875, with listed options of 3.0 & 2.75, this market will resolve to 3.0).

The primary resolution source for this market will be official information from the Federal Reserve (https://www.federalreserve.gov/monetarypolicy/openmarket.htm).

Market Interpretation

Prediction markets function as real-time consensus engines.

Traders continuously buy and sell outcome shares based on:

• breaking news
• macro developments
• public narratives
• institutional positioning
• probability reassessments

As a result, market pricing reflects aggregate trader expectations rather than static forecasts or polling systems.

At the current pricing structure:

• YES trades near 2.6¢
• NO trades near 96.5¢
• Implied probability sits near 2.6%

These probabilities may shift rapidly as new information enters the market.

Liquidity & Conviction Analysis

As of May 8, 2026 at 11:24 AM, liquidity conditions act as a primary structural filter on prediction market signal quality.

Medium liquidity conviction suggests moderate participation depth, where price discovery is active but not fully saturated by institutional or high-frequency flow.

Higher liquidity environments typically produce:

• tighter spreads
• faster price discovery
• stronger informational efficiency
• lower pricing instability

Lower liquidity environments tend to exhibit:

• wider spreads
• delayed consensus formation
• increased volatility from isolated trades
• weaker signal reliability in short time windows

Overall, liquidity acts as a direct proxy for how “stable” the implied probability surface is at any given moment.

Why This Signal Exists in Prediction Markets

Prediction markets function as continuous consensus engines where probability is not stated — it is priced.

Each trade updates a live belief distribution, turning scattered human judgment into a single evolving likelihood curve.

Compared to static polling or narrative reporting, this structure adapts instantly to:

• regime shifts in geopolitics
• macroeconomic shocks and policy changes
• institutional order flow and positioning
• narrative acceleration or decay
• liquidity-driven sentiment swings
• information asymmetry correction

In practice, these markets behave less like betting tools and more like real-time probabilistic sensors for world events.

They compress collective intelligence into a dynamic signal that updates with every transaction.

Market Structure Transition

As of May 8, 2026 at 11:24 AM, prediction markets have evolved into persistent global probability infrastructure.

Polymarket and Kalshi now operate as high-throughput probability engines, with cumulative volumes exceeding $150B+ and sustained monthly flow above $7B.

Market activity has shifted from episodic speculation toward continuous liquidity formation, where geopolitical events, macroeconomic narratives, elections, AI milestones, and financial expectations are constantly repriced in real time.

This transformation has turned prediction markets into always-on consensus surfaces capable of reflecting crowd intelligence faster than traditional media, polling systems, or institutional forecasting pipelines.