Above 15 GWh of energy deployed in a single quarter · How much will Tesla's energy business grow before 2027?: Above
Above 15 GWh of energy deployed in a single quarter is priced at 55¢ on Kalshi. Current book: 57¢ bid, 63¢ ask, 6¢ spread. This outcome ranks #1 of 4 inside How much will Tesla's energy business grow before 2027?: Above.
Price history
55¢ current
−6¢Contract brief
If Tesla deploys more than 15 GWh of energy products in a single quarter starting with Q1 2025 and before Q1 2027, then the market resolves to Yes.
Outcome
Above 15 GWh of energy deployed in a single quarter
Rank
#1 of 4
Leader
Above 15 GWh of energy deployed in a single quarter 57¢
Range
1¢-57¢
Family volume
$0
Identifier
KXTESLAENERGYBY-27-15
Jun 27, 2026, 11:38 AM UTC · 2m ago
Implied probability
Bid
57¢
Ask
63¢
Spread
6¢
Reported volume
$11K
Family rank
#1 of 4
4 outcomes · How much will Tesla's energy business grow before 2027?: Above
Closes
Apr 1, 2027
Family volume
$0
Orderbook snapshot
57 / 63¢
Contract terms
What resolves this market.
YES condition
If Tesla deploys more than 15 GWh of energy products in a single quarter starting with Q1 2025 and before Q1 2027, then the market resolves to Yes.
Venue
Kalshi
Closes
Apr 1, 2027
Identifier
KXTESLAENERGYBY-27-15
Event family
How much will Tesla's energy business grow before 2027?: Above.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
4
Highest price
Above 15 GWh of energy deployed in a single quarter 57¢
Current share
—
Above 15 GWh of energy deployed in a single quarter
kalshi · KXTESLAENERGYBY-27-15
Above 20 GWh of energy deployed in a single quarter
kalshi · KXTESLAENERGYBY-27-20
Above 30 GWh of energy deployed in a single quarter
kalshi · KXTESLAENERGYBY-27-30
Above 50 GWh of energy deployed in a single quarter
kalshi · KXTESLAENERGYBY-27-50
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.341
Observability
low
Event type
financial
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
Prediction market liquidity: why depth matters more than volume for serious traders
Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.
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.
How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis
Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.
Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter
How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.
Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State
Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.
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 55% 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.
How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.