Short Interest Change
In plain terms
The older mutable-data implementation stays blocked; its replacement preserves the internal rules using publication-time data.
How it works
Experimental rules built from FINRA aggregate daily short-sale volume: weak-tape high-volume continuation and a separate z-score-reversion long rule. The cited papers support predictability in exchange/proprietary short-sale order flow, but do not specify these FINRA, price-state or squeeze-fade rules.
Live results
102 times picked on its own · 770 times inside a blend (711 beat the stock) · updated 2026-07-06Data dependencies
- Daily prices
Adjusted-close OHLCV for every US-listed ticker; primary price feed.
- Finra short volume
A data feed this strategy reads, refreshed on its normal schedule.
Expected edge
- Tested over
- 2000-2004 NYSE order data (Boehmer-Jones-Zhang); 2005 Reg SHO pilot (Diether-Lee-Werner)
No paper alpha is transferred to this implementation; it requires independent PIT and executable validation.
Related families
Explore Short Interest Change on alphactor.ai
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