Show me short squeeze profiles

Understanding "short squeeze profiles" involves analyzing a combination of quantitative indicators that suggest a stock is heavily shorted and has the potential for rapid price appreciation if short sellers are forced to cover their positions. Fintel's platform offers several key data points to identify these characteristics:

• High Short Interest and Days to Cover: A fundamental indicator is a high percentage of the float sold short. Fintel's Short Interest page provides detailed data on the number of shares short, the percentage of float shorted, and the "days to cover" ratio. A high days to cover figure (e.g., above 10) indicates it would take many trading days for short sellers to cover their positions, making a squeeze more impactful.1
• Elevated Borrow Fees: High stock borrow fees are a strong signal of demand to short a stock and limited supply of shares available for borrowing. Fintel tracks these real-time borrow rates, and a significant increase often precedes short squeeze events.2
• Low Float: Stocks with a relatively small public float are more susceptible to dramatic price movements, as fewer shares are available to absorb buying pressure from covering shorts. Fintel's stock profile pages detail the public float and institutional ownership, which can help assess the true tradable supply.3
• Options Activity (Gamma Squeeze Potential): Unusual call options activity, particularly in out-of-the-money (OTM) calls, can indicate a potential gamma squeeze. As the stock price rises, market makers who are short these calls may need to buy the underlying stock to hedge their positions, further accelerating the price increase. Fintel's Options Flow data can highlight such unusual activity.4
• Institutional Ownership and Insider Activity: While not direct short squeeze indicators, significant institutional buying or positive insider sentiment (tracked on Fintel's Institutional Ownership and Insider Trading pages) can provide a catalyst or support for a price move, potentially triggering a squeeze.5

By combining these data points, investors can build a comprehensive profile of stocks that exhibit characteristics historically associated with short squeezes.

I meant for coin

The clarification regarding "coin" (cryptocurrency) is helpful. While the fundamental concept of a short squeeze—a rapid price increase due to short sellers being forced to buy back assets—applies to cryptocurrencies, the specific data points and mechanisms for identifying these profiles differ significantly from traditional equities.

For cryptocurrencies, identifying potential short squeeze candidates involves monitoring derivatives markets and on-chain data:

• Perpetual Futures Funding Rates: A key indicator is consistently negative funding rates on perpetual futures contracts. This implies that short position holders are paying long position holders, signaling strong bearish sentiment and high demand to short the asset. Fintel's Crypto Short Interest data provides funding rates for various coins, which can highlight this pressure.
• Open Interest in Derivatives: High open interest in futures or options contracts relative to the coin's market capitalization can amplify price movements. A large accumulation of short positions in these derivatives, especially when combined with negative funding rates, increases the potential for a squeeze if the price starts to move upwards.
• Borrow Rates on Lending Platforms: Similar to equity borrow fees, high annual percentage rates (APRs) for borrowing a specific cryptocurrency on lending platforms indicate high demand to short that coin and limited supply available for borrowing.
• Circulating Supply and Exchange Reserves: Cryptocurrencies with a relatively low circulating supply, or a significant portion of tokens locked in staking, DeFi protocols, or held off exchanges, can be more susceptible to price volatility from buying pressure.
• Options Market Activity: Unusual activity in crypto options, particularly significant call buying or put selling, can signal bullish sentiment that might trigger short covering if the underlying price reacts.

Fintel's Crypto Short Interest section provides valuable insights into perpetual funding rates and open interest for major cryptocurrencies, which are crucial for identifying these profiles.

Analyze Fintel's Crypto Short Interest data for coins with consistently negative funding rates over the past month.

The request to analyze Fintel's Crypto Short Interest data for coins with consistently negative funding rates over the past month highlights a crucial aspect of identifying potential cryptocurrency short squeezes. Consistently negative funding rates on perpetual futures contracts are a strong indicator of bearish sentiment, where short position holders are paying long position holders to maintain their positions. This sustained payment suggests an overcrowded short trade, making the asset vulnerable to a sharp upward price movement if buying pressure emerges.

While specific real-time data for individual coins with consistently negative funding rates over the last month isn't directly available in these search results, Fintel's Crypto Short Interest section is designed to provide this type of information. This section would allow for the identification of cryptocurrencies where the cost to maintain a short position is high due to these negative funding rates. Such a scenario indicates that short sellers are under pressure, and any positive catalyst could force them to cover, leading to a rapid price surge.

Identifying these coins involves:

• Monitoring Funding Rates: Regularly checking the funding rates for various perpetual futures contracts listed on Fintel's platform.
• Analyzing Consistency: Looking for coins where these rates have remained negative for a sustained period, such as the past month, rather than just fluctuating briefly.
• Cross-referencing with Open Interest: Combining this with high open interest in short positions to gauge the magnitude of potential covering.

This data, when available on Fintel, would allow for a quantitative approach to pinpointing cryptocurrencies ripe for a short squeeze, similar to how traditional equity short squeeze candidates are identified using short interest and borrow fees.

Correlate historical periods of consistently negative funding rates with subsequent price movements for identified cryptocurrencies to validate the short squeeze potential.