HUMM Short Volume
800VDC AI Datacenter Ecosystem ETF (HUMM) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $25, listed on AMEX, carrying a beta of 0.00 to the broader market. 800VDC AI Datacenter Ecosystem ETF is an actively managed exchange-traded fund that seeks investment exposure to companies most directly linked to the 800VDC datacenter power ecosystem. public since 2026-09-17.
Short volume measures the number of shares sold short on a given day as reported by FINRA. Tracking short volume relative to total volume helps identify unusual bearish sentiment or short-squeeze potential.
- Latest Date
- 2026-10-15
- Short Volume
- 95
- Total Volume
- 164
- Short %
- 57.93%
- 30-Day Avg Short %
- 74.32%
Showing 21 days of FINRA short volume data for 800VDC AI Datacenter Ecosystem ETF.
Learn how short volume is reported and how to read the data →
Frequently asked HUMM short volume questions
- What is the daily HUMM short volume?
- As of Oct 15, 2026, 800VDC AI Datacenter Ecosystem ETF (HUMM) short volume is 95 shares against 164 total reported volume, or 57.93% short-side. Short volume measures shares sold short during the day; it is flow, not inventory.
- How is HUMM short volume reported?
- FINRA publishes the Daily Short Sale Volume File for trades reported to FINRA TRFs and the FINRA/Nasdaq ADF on a T+1 basis. The headline figure is the count of shares that printed at the short-sale or short-exempt tick across all reporting venues for the symbol; each exchange separately publishes its own daily short-sale data file.
- What does HUMM short volume tell options traders?
- Daily short-sale flow is one input that helps disambiguate dealer-hedging activity from directional bear flow when the chain shows fresh customer call inventory. It is not a clean MM-only proxy: the headline number mixes directional shorting, options-MM delta-hedging, ETF-creation arbitrage, and convertible-arb hedging. Cross-check against gamma-exposure and OI changes for a cleaner read.