TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 8, 12:55 AM EST
Kalshi
This event tracks whether the Texas power grid's electricity demand will exceed specific thresholds on a particular date. It reflects real-time energy consumption patterns influenced by factors like weather and economic activity. The outcome depends on recorded system load data from an official grid operator report.
The event determines if the highest hourly total system load reported for the ERCOT grid on October 7, 2026 exceeds specified thresholds ranging from 68,000 MW to 77,000 MW. The resolution relies on the first complete “Actual System Load by Forecast Zone” CSV report published by ERCOT for that operating day. Only full-hour values from the TOTAL column are considered; instantaneous readings are excluded. Values are evaluated as published without rounding, and subsequent revisions, settlements, adjustments, or republications do not alter the result. Each threshold-defined market resolves to Yes if the recorded peak load surpasses its respective level, otherwise No.
Currently, it's difficult to directly compare prediction market odds to traditional analyst forecasts for the Texas electricity demand market. However, generally, prediction markets often incorporate a wider range of information and perspectives than standard polls or analyst reports. This can lead to differences in predicted outcomes, as this market reflects the collective wisdom of traders actively assessing various factors influencing electricity demand, such as weather patterns, economic activity, and grid reliability. It’s important to consider both sources of information when forming your own expectations.
On Kalshi, this market is priced using a continuous double auction. Traders submit bids and offers for contracts representing different levels of peak electricity demand. The price fluctuates based on supply and demand, reflecting the collective expectations of market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates the market's consensus forecast, and traders can profit by correctly predicting whether actual demand will be higher or lower than the prevailing price. This dynamic pricing mechanism ensures that the market efficiently incorporates new information as it becomes available.
This market resolves around Oct 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official peak electricity demand reported by ERCOT (Electric Reliability Council of Texas) for October 7, 2026, will determine the settlement of contracts. The contracts will pay out based on whether the actual peak demand falls above or below the contract's strike price, as defined on Kalshi. This ensures a transparent and objective resolution process.
Several signals and events could significantly move this market before its resolution. Major weather events, such as heat waves or cold snaps, are primary drivers of electricity demand in Texas and would likely cause substantial price fluctuations. Changes in economic activity, particularly in energy-intensive industries, could also impact forecasts. Furthermore, announcements regarding grid infrastructure improvements or regulatory changes affecting power generation could influence market sentiment. Unexpected outages at power plants or significant shifts in renewable energy production (wind, solar) would also be key catalysts for price movement in this market.