What will be the largest source of global primary energy consumption in 2030?
This contract is priced at 1¢ on Kalshi. Current book: 1¢ bid, 3¢ ask, 2¢ spread.
Implied probability
Event outcomes
10
Family volume
$134
Best sibling
Gas 8¢
Ticker
KXPRIMEENGCONSUMPTION-30-BIOMASS
Market snapshot
Traditional biomass in market context.
This page tracks the Kalshi contract for What will be the largest source of global primary energy consumption in 2030?. The displayed quote is 1¢ from the latest venue quote. The cached market record reports reported volume of $5K. In the What will be the largest source of global primary energy consumption in 2030 family, this outcome ranks #6 of 10 by current quote across 10 sibling outcomes. The indicator bundle was refreshed May 9, 2026, 9:57 AM UTC.
Outcome
Traditional biomass
Family rank
#6 of 10
Venue
Kalshi
Current quote
1¢
Quote source
Latest venue quote
Timing
Listed until Dec 30, 2032
Reported volume
$5K
Family context
10 outcomes · What will be the largest source of global primary energy consumption in 2030
Quote range
1¢-49¢
Family leader
Oil 49¢
Last updated
May 9, 2026, 9:57 AM UTC · 0m ago
Venue identifier: KXPRIMEENGCONSUMPTION-30-BIOMASS. Family volume: $134.
Price history
1¢ current
Orderbook snapshot
1 / 3¢
Contract terms
Resolution, venue, and identifiers.
Resolution rules
If Traditional biomass is the largest source of global primary energy consumption in 2030, then the market resolves to Yes.
Venue
Kalshi
Closes
Dec 30, 2032
Identifier
KXPRIMEENGCONSUMPTION-30-BIOMASS
Event family
What will be the largest source of global primary energy consumption in 2030.
This view keeps the individual contract next to its sibling outcomes. For long-tail search traffic, this is the useful context: where the current price sits inside the event, how much volume exists around the family, and which outcomes have actual depth.
Total volume
$134
Outcomes
10
Highest price
Oil 49¢
Current share
0%
Traditional biomass
kalshi · KXPRIMEENGCONSUMPTION-30-BIOMASS
Gas
kalshi · KXPRIMEENGCONSUMPTION-30-GAS
Oil
kalshi · KXPRIMEENGCONSUMPTION-30-OIL
Coal
kalshi · KXPRIMEENGCONSUMPTION-30-COAL
Nuclear
kalshi · KXPRIMEENGCONSUMPTION-30-NUCLEAR
Hydropower
kalshi · KXPRIMEENGCONSUMPTION-30-HYDROPOWER
Wind
kalshi · KXPRIMEENGCONSUMPTION-30-WIND
Solar
kalshi · KXPRIMEENGCONSUMPTION-30-SOLAR
Other renewables
kalshi · KXPRIMEENGCONSUMPTION-30-RENEWABLE
Modern biofuels
kalshi · KXPRIMEENGCONSUMPTION-30-BIOFUEL
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Liquidity Availability Is the Real Edge in Prediction Markets
Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.
Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity
Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.
US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle
Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket
Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 1% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.