The Short Interest Ratio (SIR), also known as the Days-to-Cover Ratio, is a crucial sentiment trading indicator for those looking to understand market sentiment. It measures the total short interest by dividing the number of shares sold short by the stock’s average daily trading volume. In simpler terms, it tells you how many days it would take for short sellers to buy back all their short shares.

Think of the Short Interest Ratio as a weather forecast for the NYSE and other stock markets, just as meteorologists analyze patterns to predict storms, traders use this ratio to assess bearish or bullish sentiment. A high short interest ratio might indicate an impending storm—either further price declines or the potential for short squeezes, while a low short interest ratio suggests relative stability.

Understanding how to calculate short interest and use it in trading strategies can help you identify heavily shorted stocks and anticipate changes in short interest with greater confidence. To understand how the indicator may look you can refer to the image below. It shows the Short Interest Ratio developed by a retail trader. The values can be adjusted according to your liking.

Short interest ratio on s&p500.

How Short Interest Ratio Works in Trading

The Short Interest Ratio is a straightforward calculation:

Short Interest Ratio = Short Interest / Average Daily Trading Volume (ADTV)

What Does It Measure?

  • Short Interest – Total Number of Shares that are short in a stock but not yet covered.

  • Stock’s Average Daily Trading Volume – The average number of days it takes for a stock to trade its total number of shares outstanding.

How to Interpret the Ratio?

  • High Short Interest Ratio: A high ratio indicates that it would take a longer time to cover the short positions. This is often a bearish signal, suggesting that many investors are betting on a decline in the stock price. It can also indicate that the stock is susceptible to a short squeeze if the price rises unexpectedly.
  • Low Short Interest Ratio: A low ratio means that the short interest is relatively small compared to the trading volume. This can signal bullish sentiment, as fewer investors are betting against the stock.

Example of Short Interest Ratio Calculation

Suppose Ted, Sam, and Baker is a retail company with 5 million shares sold short and an average trading volume of 25 million shares over 30 trading days. The short interest ratio is calculated as:

  • Short Interest: 5,000 shares
  • Average Daily Trading Volume: 25,000 shares

Short Interest Ratio = 5,000 / 25,000 = 0.2

This means it would take 0.2 days to cover short positions. A lower ratio implies that short sellers can cover their positions quickly, while a higher short interest ratio suggests potential volatility.

Systematic Trading Perspective: Why Rules Matter

Applying objective rules is essential for consistent trading performance. The Short Interest Ratio provides a quantitative way to evaluate market sentiment, removing emotion from decision-making.

Using Rules-Based Trading with the Short Interest Ratio

Instead of relying on gut feelings or market rumors, traders can incorporate the Short Interest Ratio into a rules-based system. For example:

  • Rule 1: Only consider buying stocks with a Short Interest Ratio under 2 (indicating low short interest and bullish sentiment).
  • Rule 2: Avoid shorting stocks with a Short Interest Ratio over 10, as they are more prone to short squeezes and volatility.

Backtesting allows traders to evaluate how well the Short Interest Ratio works in their strategy by applying the rules to historical data. This process ensures that the strategy is effective and offers an edge in different market conditions.

Challenges of Using Short Interest Ratio in a Trading System

While the Short Interest Ratio is a powerful tool, it has some limitations that traders should consider:

1. Timing of Data

Short interest data is typically reported bi-weekly and can be delayed by several days, which means that the ratio may not reflect real-time market conditions.

2. Liquidity Issues

Stocks with low trading volume can have volatile short interest ratios, leading to misleading signals. For example, a stock with low trading volume might show a high short interest ratio, but this doesn’t always imply bearishness if the volume spikes unexpectedly.

3. News and Market Events

News or unexpected events can significantly affect trading volumes, making the short interest ratio fluctuate. For instance, a product launch or an earnings surprise can drive the volume and change the ratio in an unpredictable way.

4. Use in Isolation

The Short Interest Ratio should not be used in isolation. It is essential to combine it with other indicators like relative strength index (RSI), moving averages, or volatility to get a comprehensive view of the stock’s potential movement.

Actionable Tips for Using Short Interest Ratio Effectively

1. Combine with Volume Analysis

For better insights, traders should use the short interest ratio alongside average trading volume. A rising short interest ratio with increasing volume may indicate a short squeeze is near.

2. Look for Short Squeeze Opportunities

A stock with high short interest and positive news can trigger short sellers to buy back their shares short, driving prices up.
Example: GameStop (GME) saw a historic short squeeze due to high short interest relative to trading volume.

3. Monitor Market Sentiment

By tracking the total number of shares held short, traders can spot trends in rising short interest. If the short interest percentage keeps increasing, it could indicate an impending price movement.

4. Be Cautious with Stocks Showing Rising Short Interest

A short ratio above 10 in a volatile market may signal risk, while a low short interest ratio in a strong uptrend could reinforce a bullish outlook.

Conclusion & Next Steps

The Short Interest Ratio is a fantastic tool for traders looking to analyze market sentiment and identify potential short squeeze opportunities. Whether you’re monitoring changes in the short interest, identifying stocks with high short interest, or calculating the days-to-cover ratio, this metric helps traders make data-driven decisions.

When working with short interest data, it’s important to be cautious about its historical accuracy. Much of the data is reported with a delay—often biweekly—and may be subject to revision or gaps, making precise backtesting difficult. In live trading, short interest metrics can also be tricky to act on in real time due to limited update frequency and the influence of borrowing constraints, borrow fees, or squeezes already in motion. However, with a thoughtful approach and an understanding of its limitations, short interest can still offer valuable insight into market sentiment and positioning—especially when combined with other technical or fundamental indicators. Used wisely, it can be a powerful tool in a trader’s playbook.

If you want to deepen your understanding of systematic trading, explore The Trader Success System to learn how to build and refine a complete, rules-based trading strategy.

author avatar
Adrian Reid Founder and CEO
Adrian is a full-time private trader based in Australia and also the Founder and Trading Coach at Enlightened Stock Trading, which focuses on educating and supporting traders on their journey to profitable systems trading. Following his successful adoption of systematic trading which generated him hundreds of thousands of dollars a year using just 30 minutes a day to manage his system trading workflow, Adrian made the easy decision to leave his professional work in the corporate world in 2012. Adrian trades long/short across US, Australian and international stock markets and the cryptocurrency markets. His trading systems are now fully automated and have consistently outperformed international share markets with dramatically reduced risk over the past 20+ years. Adrian focuses on building portfolios of profitable, stable and robust long term trading systems to beat market returns with high risk adjusted returns. Adrian teaches traders from all over the world how to get profitable, confident and consistent by trading systematically and backtesting their own trading systems. He helps profitable traders grow and smooth returns by implementing a portfolio of trading systems to make money from different markets and market conditions.