Important Note
It’s not possible to predict or guarantee which specific stock will experience a short squeeze soon. What we can do is screen for conditions that historically increase the probability of a short squeeze (heavy short interest, smaller float, high trading volume, recent price spikes, etc.). The filters your colleague used are designed with that goal in mind.
Screening Filters
Market Cap ≤ $1,000,000,000 (market_cap: {'max': '1000000000'})
- Purpose: Focus on smaller companies where short squeezes are more likely and more explosive.
- Rationale:
- Short squeezes tend to happen more often in small- and micro-cap names because:
- The float (tradable shares) is usually smaller.
- It takes less buying pressure to move the price significantly.
- Capping market cap at $1B keeps the search in the “small-cap/penny stock” universe rather than large, more liquid names where squeezes are rarer and less dramatic.
Share Price Between $0.50 and $5 (price: {'min': '0.5', 'max': '5'})
- Purpose: Target true “penny stock” territory while avoiding extremely illiquid sub-penny names.
- Rationale:
- Many investors informally define penny stocks as trading under $5.
- A lower limit of $0.50 avoids a lot of ultra-low-priced, often highly illiquid or distressed securities where price data and trading quality can be unreliable.
- This range directly aligns with your request for penny stocks.
Relative Volume ≥ 2 (relative_vol: {'min': '2'})
- Purpose: Identify stocks currently trading at unusually high volume today versus their normal average.
- Rationale:
- A relative volume ≥ 2 means today’s volume is at least double the typical level.
- Short squeezes often start with a spike in volume as new buyers (or covering shorts) rush in.
- Elevated relative volume is a key early indicator of “something is happening” in the name—potential news, momentum, or a squeeze starting to build.
1-Week Price Change ≥ +10% (week_price_change_pct: {'min': '10'})
- Purpose: Find stocks that have already begun to move up significantly in the short term.
- Rationale:
- A price increase of at least 10% in a week suggests momentum and possible pressure on short sellers.
- In a short squeeze scenario, rising prices force short sellers to consider covering, which can further fuel the move.
- This filter focuses on names where that upward pressure might already be forming.
Region: United States (region: ['United States'])
- Purpose: Limit to U.S.-listed companies for data consistency, regulation clarity, and accessibility.
- Rationale:
- U.S. markets (NYSE, NASDAQ, AMEX) have more transparent short interest data and more active retail trading—both relevant for squeeze dynamics.
- Many well-known short squeeze cases (e.g., meme stocks) have been U.S.-listed, so this region aligns well with your intent.
Exchanges: NYSE, NASDAQ, AMEX (list_exchange: ['XNYS', 'XNAS', 'XASE'])
- Purpose: Focus on major U.S. exchanges rather than OTC or pink sheet markets.
- Rationale:
- Major exchanges have stricter listing standards, better liquidity, and more reliable data.
- While some squeezes can happen OTC, many investors prefer the slightly higher quality and transparency of listed names.
- This balances your interest in penny stocks with a minimum threshold for trading quality.
High Short Interest: More Than 30% (short_ratio: ['MoreThan30Pct'])
- Purpose: Directly target heavily shorted stocks, a core ingredient for a short squeeze.
- Rationale:
- A high short interest (e.g., >30% of float or similarly defined metric) means:
- A large portion of shares is borrowed and sold short.
- There is a substantial group of traders who must eventually buy back shares to close their positions.
- When prices rise and liquidity is constrained, these shorts can be forced to cover at higher prices, driving the classic squeeze.
- This is arguably the most critical filter for matching your “short squeeze” objective.
Why Results Match Your Request
Together, these filters don’t “guarantee” a short squeeze but narrow the universe down to penny stocks where the setup (heavy shorting, rising prices, and abnormal volume) makes a squeeze more plausible in the near term.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.