In an environment where traditional FINRA short interest data is published with an 8-day lag, platforms like Ortex have become essential for the modern short-selling analyst. By modeling short interest from securities-lending data, Ortex provides near-real-time estimates, including utilization percentages, cost-to-borrow, and days-to-cover metrics. These tools allow for the identification of potential short squeeze setups before they are reflected in official exchange reports. For traders and researchers, integrating these alternative datasets is crucial for maintaining an edge in identifying shifts in institutional sentiment and liquidity constraints in the lending market.
Signal data sourced from Ortex. This post is an original analysis prepared by The Forensic Ledger from publicly available data. Not investment advice.
Not investment advice. This is original reporting and analysis prepared by The Forensic Ledger from publicly available data. Nothing here is a recommendation to buy, sell, or hold any security. Always consult the original source and a licensed professional. See our full disclaimer and source-citation policy.