What is the open vs closed token volume on November 9, 2026?

Comparing prediction market odds to analyst forecasts reveals interesting insights into collective intelligence. Often, this market reflects a wisdom-of-the-crowd effect, potentially incorporating information not readily available to traditional analysts. While analyst forecasts offer expert opinions, the open weights token market aggregates the views of many participants with diverse perspectives. It’s important to note that analyst predictions and this market’s probabilities aren’t always aligned, but discrepancies can highlight areas of disagreement or uncertainty regarding the future of open-source AI development.

On Kalshi, this market is priced through a continuous double auction, meaning buyers and sellers set the prices by submitting bids and asks. The current price reflects the market's expectation of whether the share of open weights tokens will be above or below a certain threshold on November 1, 2026. 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 likelihood of different outcomes, creating a dynamic and responsive market. The price changes based on supply and demand for contracts related to this event.

This market resolves around Nov 9, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will depend on determining the actual share of open weights tokens in use as of November 1, 2026, and comparing that to the levels defined by the market contracts. The result will be based on publicly available data regarding token distribution and usage, ensuring a transparent and objective determination of the outcome. Traders will then be paid out based on whether their predictions aligned with the verified result.

Several signals or events could significantly move this market. Major announcements regarding the development or adoption of open-source AI models would be key catalysts. Changes in regulatory policies surrounding AI and data privacy could also impact the market, as could significant breakthroughs in AI technology that favor open-source approaches. Furthermore, large-scale investments in open-source AI projects or the emergence of prominent new open-source initiatives could shift trader sentiment. Any news impacting the competitive landscape between open and closed-source AI development will likely influence trading activity.