TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 12, 12:55 AM EST
Kalshi
The event tracks the peak electricity demand on the Texas ERCOT grid for a specific date, reflecting how energy consumption patterns may shift due to weather, economic activity, or other factors. Outcomes are determined by comparing reported hourly load data against predefined thresholds.
The event resolves based on the highest hourly total system load reported by ERCOT for October 11, 2026, against a series of ascending thresholds ranging from 69,000 MW to 78,000 MW. Each market corresponds to a specific threshold, and if the recorded peak load exceeds that threshold, the respective market resolves to Yes; otherwise, it resolves to No. The authoritative data source is the first complete “Actual System Load by Forecast Zone” CSV report published by ERCOT for the operating day of October 11, 2026, with the Expiration Value defined as the highest value in the TOTAL column of that report. All values represent full-hour system load measurements, and only the published data is considered—instantaneous readings, revisions, settlements, adjustments, or republications after the initial publication do not affect the outcome. Comparisons are made using the exact published figures without rounding.
Currently, it's difficult to directly compare the odds in this market to specific analyst forecasts for Texas electricity demand. However, generally, prediction markets often incorporate a wider range of information and perspectives than traditional polls or analyst reports. Analysts may focus on modeled projections, while this market reflects the collective judgment of participants who are incentivized to be accurate. If analyst forecasts consistently diverge from the pricing in this market, it could signal an opportunity for informed traders. It's important to remember that both approaches have inherent limitations and strengths.
On Kalshi, this market is priced using a continuous double auction, meaning buyers and sellers submit bids and offers for contracts. The current price reflects the market's consensus expectation of the probability of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their prices based on new information and their own assessments of the factors influencing Texas electricity demand. This dynamic pricing mechanism allows for efficient discovery of the most likely outcome. The market depth, or the volume of buy and sell orders at different price levels, also provides insights into the strength of conviction behind various predictions.
This market resolves around Oct 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on the highest hourly total system load reported for the ERCOT grid on October 11, 2026. The official data from ERCOT will serve as the basis for determining whether the peak demand exceeded the threshold specified in the market contract. The platform will then verify the result and settle the contracts accordingly. It’s important to note that the resolution process relies on publicly available data and established reporting procedures.
Several factors could significantly influence the price of this market. Weather forecasts for Texas in the weeks leading up to October 11, 2026, will be crucial, particularly the predicted temperatures. Unexpected heat waves would likely increase demand and push prices higher. Changes in energy policy or regulations impacting power generation capacity could also have an effect. Furthermore, any news regarding the reliability of the ERCOT grid, such as planned outages or infrastructure upgrades, could shift market sentiment. Economic indicators influencing industrial activity and overall energy consumption in Texas will also be closely watched.