PREDICTION ODDS TERMINAL NODE

US recession by end of 2026?

The market for "US recession by end of 2026?" is functioning as a live sentiment and probability discovery system. Current pricing places YES at 15.0¢ and NO at 84.0¢, implying a market consensus probability of 15.0%. Liquidity remains medium, supported by approximately $11,804 in daily trading activity.

Δ June 15, 2026
event-contractsprediction-marketsprediction-oddsmacro-riskgeopolitical-riskotherpolymarketevent-contractsprediction-marketsprediction-oddsmacro-riskgeopolitical-riskotherpolymarket
Probability
15.0%
YES Price
15.0¢
NO Price
84.0¢
24H Volume
11,804
market activity
Liquidity
Medium
conviction field
Spread
bid-ask distance

The market for "US recession by end of 2026?" is functioning as a live sentiment and probability discovery system.

Current pricing places YES at 15.0¢ and NO at 84.0¢, implying a market consensus probability of 15.0%.

Liquidity remains medium, supported by approximately $11,804 in daily trading activity.

Last Updated: 2026-06-15T12:02:13.085Z

Current Market Pricing

YES Price

15.0¢

Bullish probability pricing

NO Price

84.0¢

Bearish probability pricing

Prediction markets currently imply a live probability of approximately 15.0%.

Market Structure

Probability

15.0%

Spread

0.01

Liquidity

Medium

Volume (24h)

$11,804

Markets with tighter spreads and higher liquidity generally indicate stronger trader participation and more efficient price discovery.

Resolution Criteria

This market will resolve to “Yes” if either of the following conditions is met:

  1. The seasonally adjusted annualized percent change in quarterly U.S. real GDP from the previous quarter is less than 0.0 for two consecutive quarters between Q2 2025 and Q4 2026 (inclusive), as reported by the Bureau of Economic Analysis (BEA).

  2. The National Bureau of Economic Research (NBER) publicly announces that a recession has occurred in the United States, at any point during 2025 or 2026, with the announcement made by the time the BEA releases the advance estimate for Q4 2026.

Otherwise, this market will resolve to "No".

Note that advance estimates will be considered. For example, if upon release, the advance estimate for Q3 2025 was negative, and the Q2 2025's most recent, up-to-date estimate was also negative, this market would resolve to "Yes". If on December 31, 2026 the latest estimate for quarterly GDP in Q3 2025 was negative, this market will stay open until the Advance estimate of Q4 2026 is published, at which point it will resolve to "Yes" if Q4 2026 was negative or if the NBER declares a recession by then.

The resolution source will be the official announcements from the NBER and the BEA’s estimate of seasonally adjusted annualized percent change in quarterly US real GDP from previous quarters as released by the Bureau of Economic Analysis (BEA), https://www.bea.gov/data/gdp/gross-domestic-product

Market Interpretation

Prediction markets operate as continuously updating consensus systems where price is not prediction — it is compressed belief under liquidity pressure.

At any moment, pricing reflects aggregated trader positioning across:

macro signalsevent risk

Current pricing structure implies:

flow positioningnarrative shift
  • YES trades near 15.0¢
  • NO trades near 84.0¢
  • Implied probability clusters around 15.0%

This is not static forecasting — it is a continuously reweighted probability surface that reacts to incoming information in real time.

The scalability of modern consensus infrastructure is increasingly proven by its ability to absorb massive, compressed global events without liquidity fragmentation. Major tournament calendars and high-frequency international events no longer act as isolated speculative anomalies, but as key proof points for real-time risk repricing.

For instance, during major 2026 international sports cycles like the FIFA World Cup, single-contract market pools routinely scale past $1.8B+ in individual execution volume. These intense thematic clusters show how retail sentiment and automated liquidity parameters map parallel team outcomes, host-nation positioning, and short-cycle variables under a unified probability framework.

Rather than diluting macro-financial tracking, these high-volume event spikes stress-test the underlying execution layers—demonstrating that order-book depth can handle sudden, multi-million dollar data swings within minutes of real-world resolution.

This infrastructure turns global cultural phenomena into highly structured financial telemetry, proving that prediction networks can ingest, sort, and settle billions in fast-moving capital alongside core geopolitical and economic indexes.

Platforms such as Polymarket and Kalshi now function as high-throughput probability engines, with cumulative sector trading volume exceeding $150B+ and sustained monthly flow consistently pacing between $20B and $31B throughout 2026 trading cycles.

By mid-2026, prediction market activity hit record nominal velocity, with peak months like May printing over $31.2B in combined volume. This institutionalized liquidity split saw Kalshi routing approximately $17.9B in transactional flow while Polymarket's international engine anchored $8.8B in parallel event-driven allocations.

Market structure has therefore shifted far beyond episodic retail speculation into continuous global liquidity formation, where geopolitical negotiations, tariff regimes, AI competition, corporate milestones, sovereign risk, and financial expectations are repriced in real time.

This transition has transformed prediction markets into always-on consensus infrastructure capable of absorbing information flows faster than traditional polling systems, legacy forecasting pipelines, institutional research desks, and mainstream media narratives.

The modern prediction market stack increasingly behaves like a distributed probabilistic intelligence layer for global events rather than a niche speculative product category.

Market Metadata

  • Market ID: us-recession-by-end-of-2026
  • Snapshot Timestamp: June 15, 2026 at 08:01 AM
  • Category Class: Implied Probabilisty
  • Signal Type: binary outcome probability surface

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EXIT NODE SEQUENCE
Consensus locked
Narrative stabilized
Regime state compressed
Shock layer dormant
Liquidity field normalized
Consensus locked
Narrative stabilized
Regime state compressed
Shock layer dormant
Liquidity field normalized
END OF MARKET SIGNAL STREAM

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