WTAI Short Interest
WisdomTree Artificial Intelligence and Innovation Fund (WTAI) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $559.9M, listed on CBOE, carrying a beta of 1.81 to the broader market. The index is designed to provide exposure to equity securities of exchange-listed companies globally, including developed countries and emerging markets throughout the world, which are primarily involved in the investment theme of Artificial Intelligence and Innovation. public since 2021-12-09.
Short interest is the total number of shares currently sold short and not yet covered, reported bi-monthly by FINRA. Days to cover (short interest divided by average daily volume) indicates how long it would take short sellers to close positions, with higher values signaling greater squeeze potential.
- Settlement Date
- 2026-04-30
- Short Interest
- 188.0K
- Previous Short Interest
- 146.3K
- Change
- 28.50%
- Days to Cover
- 1.77
- Avg Daily Volume
- 106.0K
- Avg Days to Cover (24 reports)
- 1.59
Showing 24 bi-monthly FINRA short interest reports for WisdomTree Artificial Intelligence and Innovation Fund.
Learn how short interest is reported and how to read the data →
Frequently asked WTAI short interest questions
- What is the current WTAI short interest?
- As of the Apr 30, 2026 settlement, WisdomTree Artificial Intelligence and Innovation Fund (WTAI) short interest is 188.0K shares, a +28.50% change from the prior period. FINRA publishes short interest twice monthly on the 15th and last business day of each month under Rule 4560.
- What is the WTAI days-to-cover ratio?
- Days-to-cover is 1.77, calculated as short interest divided by average daily volume. It estimates how many trading days closing all short positions would consume given typical liquidity. Values above 5 days are commonly cited as elevated; values above 10 days are squeeze-relevant.
- How does WTAI short interest affect options pricing?
- High short interest changes options pricing through three mechanics: borrow-rebate effects (synthetic long stock trades below frictionless put-call parity by approximately the borrow rebate when shares are hard-to-borrow), gamma-squeeze setup risk (if dealers are short gamma against retail call buying, dealer hedge flow can amplify upward moves), and elevated event-vol pricing on names with squeeze potential. See the canonical short-interest documentation for the full mechanism.