
the Democrat

the Republican
FAQ
Tap a question to read the answer.
How many markets are available for "North Carolina Supreme Court Election Winner"?
There are 2 active prediction markets available for "North Carolina Supreme Court Election Winner" on FrenFlow, with $2K in combined trading volume. Each market focuses on a different aspect or outcome.
What is the most traded market in this event?
The most traded market is "Anita Earls (D)" with $2K in volume. Current odds: Yes at 81%.
What are the current odds for "North Carolina Supreme Court Election Winner"?
Current standings
- 1Anita Earls (D)81%
- 2Sarah Stevens (R)16%
Odds shift in real-time as traders buy and sell shares based on new information, so the ranking reflects the market's latest collective view.
How much trading activity has "North Carolina Supreme Court Election Winner" generated?
"North Carolina Supreme Court Election Winner" has generated $2K in total trading volume since launch. Higher volume aggregates more participants behind the implied probabilities, generally tightening spreads and sharpening the consensus signal.
What is the price trend for "North Carolina Supreme Court Election Winner"?
Sarah Stevens (R) has moved down 2 points in the last 24 hours — from approximately 18% to 16%. Price movements reflect changing trader sentiment and new information entering the market.
When do these markets close?
Markets in this event are scheduled to close around November 4, 2026. Individual markets may have different resolution dates depending on their specific conditions.
How do prediction markets work?
Prediction markets let you trade on the outcomes of real-world events. For "North Carolina Supreme Court Election Winner", you can buy shares representing different outcomes. Share prices reflect the crowd's estimated probabilities. When a market resolves, correct shares pay $1.00 and incorrect shares pay $0.00. On FrenFlow you can also follow the top traders on this market and automatically copy their positions, so you participate in their picks without having to time each trade yourself.

