A digital financial marketing graphic titled "SPY VOLUME TRADING STRATEGY" in bold yellow typography across the center. The background features a detailed stock market data visualization display with green and red candlestick patterns, financial indices, and numerical ticker values blurred for depth. A human hand extends from the lower-right corner, pointing a finger toward a prominent green upward-trending line on the screen. A blue circular corporate logo sits cleanly in the upper-left quadrant.

SPY Volume Trading Strategy – Backtest and Trading Rules

ByOddmund Groette Trading strategies

This article presents a SPY volume trading strategy.

Understanding the significance of trading volume in SPY and the S&P 500 ETF is crucial. This article explores the relevance of volume in SPY trading and presents findings from historical data analysis and statistics.

We’ll focus on a specific SPY volume trading strategy that could potentially improve trading performance. We’ll uncover insights into the relationship between trading volume, market behavior, and trading outcomes through data-driven empirical backtesting. Stay tuned to discover how volume can impact your SPY trading decisions and potentially improve your profitability.

Key Takeaways

  • Trading volume plays a role in SPY behavior
  • Most volume-based ideas show little predictive power
  • Below-average volume alone offers no trading edge
  • One specific volume-gap pattern shows positive expectancy
  • Best results follow large gap-ups after low volume
  • Strategy uses intraday trades: buy open, sell close
  • Performance shows modest gains with low drawdowns

Does volume matter in SPY? I’m trading SPY, but until now, I have not paid any attention to the volume. Let’s test a simple SPY volume trading strategy.

Volume probably matters in SPY because a lot of SPY trading is hedging. I trade SPY every day in my day trading simply for hedging purposes. So when the markets turn ugly, I’m not surprised to see volume pick up (for hedging purposes). Unfortunately, we don’t know today’s volume until the trading day is finished.

A linear financial backtest performance chart tracing a portfolio equity curve simulation that compounds from an initial capital allocation of 100,000 up to a terminal value of 217,329. The black line graph advances diagonally from the bottom-left to the top-right corner over a plain white background grid. It visualizes a highly consistent upward trajectory across consecutive years, mapping minor, brief horizontal pauses and steady compounding intervals with minimal peak-to-trough account drawdowns. A prominent light gray watermark reading QuantifiedStrategies.com spans horizontally across the lower center quadrant.
Quantitative SPY portfolio backtest simulation displaying steady geometric capital expansion and exceptional equity curve health up to a final 217,329 value.

Below, we form a trading hypothesis or trading idea we can label volume trading strategy:

SPY volume trading strategy

What happens the next day after a day with below-average volume?

(All testing is from 2005 until present in this article)

A linear financial backtest performance chart, titled "Buy if yesterday was below avg volume," displaying two equity curves against a gray background grid. The pink line represents a higher-performing equity growth curve, while a secondary blue line traces a lower-performing baseline. Both lines originate at a zero baseline and show long-term upward trajectories punctuated by a sharp, unified drawdown period around the 900–1000 trade mark, followed by a sustained recovery to higher peaks.
Comparative performance backtest chart evaluating a volume-based trading strategy, demonstrating superior equity growth against a baseline benchmark.

The pink line is “buy and hold” and blue is the strategy. As we can see, there is nothing to gain using yesterday’s data about volume.

I backtested a lot of different strategies/ideas, but only one pattern seems to have any predictive power:

Trading Rules

You find the trading rules at the bottom of the article

We backtest the trading rules on the S&P 500 by using the ETF with the ticker code SPY from 1993 until today:

A linear financial backtest performance chart, titled "Strategy vs Buy and Hold," showing two equity curves against a gray background grid. The blue line, representing the systematic volume trading strategy, exhibits a consistent, stepped upward trajectory that significantly outperforms the comparative pink baseline curve, which represents a passive "buy and hold" approach. Both curves originate at a zero baseline, with the blue strategy line maintaining a steadier, lower-volatility ascent compared to the wider, deeper drawdowns observed in the pink benchmark curve throughout the testing period.
Comparative performance backtest chart demonstrating the alpha generation of a rules-based SPY volume strategy versus a standard passive buy-and-hold benchmark.

The above graph shows the accumulated profits from open to close if we use the trading rules as described.

Let’s look at the statistics and trading performance metrics:

  • 207 trades
  • The average gain per trade is 0.1%
  • The win rate is 55%
  • Max drawdown is 9%

The SPY volume trading strategy looks pretty erratic but it can be improved by adding one variable (which we don’t show). Keep in mind that this is a day trading strategy where you buy the open and sell at the close.

If you would like to have the Amibroker and Tradestation code for this strategy, you might want to consider becoming a member and get access to plenty of strategies and trading ideas.

For more trading strategies, have a look at all our profitable trading strategies.

Does trading volume matter when trading SPY (S&P 500 ETF)?

Trading volume in SPY can be significant because much of SPY trading is related to hedging. Understanding the role of volume in SPY trading can be important for traders.

What is the outcome of the SPY volume trading strategy based on historical data?

The article presents the results of testing various SPY volume trading strategies. While most of them show no significant predictive power, one pattern indicates that trading in the direction of a “big” gap up (more than 0.6%) on days following below-average volume days can yield an average profit of 0.22% per trade.

Why is below-average volume important in SPY trading?

Below-average volume in SPY trading may indicate less hedging activity, which can have implications for market movements. Understanding this relationship can be valuable for traders.

Conclusion

Trading volume in SPY, the S&P 500 ETF, is a crucial factor to consider for traders. This article delved into the significance of volume in SPY trading and presented findings from historical data analysis regarding a specific SPY volume trading strategy. By examining how below-average volume days affect market movements, we aimed to uncover actionable insights that can enhance trading outcomes.

Trading Rules

🔒 These trading rules are for members only.

Get access here

I’ve got an Msc from Heriot-Watt University, Edinburgh (1996), in addition a to a business administration degree the Norwegian School of Management (BI – 1994). Did my mandatory military service in between.

After university, I worked two years as an auditor (1996-1998).

I co-founded Aksjeforum.com in 1998/99 - one of the first websites about trading and investing in Norway. It was later acquired by Digi.no in 2001.

I have written 4 books about trading (in Norwegian). One of them has sold 30,000 copies, a record for a financial book in Norway.

From 2001 until 2018 full-time independent prop trader (Series 7 in 2001) and investor.

2018-today: Investor, writer, analyst.

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