How Program Trading Strategies Work

Program trading strategies happen behind the scenes. They trade without emotion and can be highly profitable. These trades, called program trades, take place quietly, oblivious to the chaos of the trading floor. With the advent of electronic trading in the early 2000s, program trading strategies have become a critical part of investing for most traders and investors, particularly large financial institutions.

Key Takeaways

  • Program trading refers to the use of computer-generated algorithms to trade a basket of stocks in large volumes and sometimes with great frequency.
  • The algorithms are programmed to run and are monitored by humans, although once running the programs generate the trades, not humans.
  • Program trading strategies may execute thousands of trades a day (e.g. high-frequency trading, or HFT), while other strategies only execute trades every few months to rebalance long-term portfolios.
  • While very popular, program trading has also been blamed for market failures such as flash crashes.

Program Trading Strategy

In general terms, program trading is large-volume trading made by systems, usually automated, based on an underlying program or idea. However, there is more to program trading than this simple definition implies. The New York Stock Exchange (NYSE) defines program trading as a "wide range of portfolio trading strategies involving the purchase or sale of 15 or more stocks having a total market value of $1 million or more."

The term "system trading" is frequently used interchangeably with program trading; however, this is not entirely accurate. System trading refers to a methodology that may produce program trading if done in sufficient volume. Conversely, certain program trades can be generated by a system-trading methodology. Program trading, for our purposes here, refers only to the NYSE definition.

People Plan the Strategy...

Contrary to popular belief, the underlying portfolio strategy behind a program buy or sell is often not computer-generated. The goals may be as disparate as portfolio balancing to broad asset allocations to sector allocations. They may be intraday strategies, short-term, or long-term strategies. The actual strategies and the algorithms that generate program buys and sells are proprietary to each player and are among the most closely guarded secrets on Wall Street.

...But Computers Do the Work

Program trades are almost always executed by computers, although there are instances when this isn't the case. For example, if institution XYZ wants to sell a basket of 15 stocks totaling $2 million, it could simply split up the sale among several different brokers. Conversely, a big buy program on a single stock may go directly to a market maker or to a single broker who then splits it up into smaller units. As a practical matter, the NYSE is only interested in regulating the computer-generated program trades, and in particular, those generated by large movements in the futures premium.

Program Trading Is Everywhere

Importantly, much of program trading involves the futures markets as well as the cash market. The most simplistic and widely known of these strategies is index arbitrage. Index arbitrage is frequently used by institutions with very large and diverse stock portfolios under management.

For example, an institution buys futures when the price is low, while it simultaneously sells a basket of stocks in a hedged trade to garner a few points of return over what a portfolio of S&P stocks would produce on its own.

The important point for the individual investor is that the futures market and the cash market are intimately intertwined. Moves in one market can trigger moves in the other. Every day, the S&P futures have a fair value based on a formula that includes, for example, days to expiration and the cost of carry for a commensurate basket of stocks.

70% to 80%

The percentage of overall trading volume that is algorithmic trading in U.S. markets and other developed markets.

There are certain levels of premium that will generate program trades, although it varies slightly among firms due to different costs of carry. Every day there are "buy execution levels" and "sell execution levels." The best (and only public) source of information for daily fair value and premium execution levels can be found at HL Camp & Co.'s Program Trading Research site. Additionally, the NYSE publishes program trading activity by member firms every week for the previous week on its website.

Rules, Rules, Rules

During the 1980s and '90s, program trading was largely blamed for excessive volatility in the stock market and was named as a culprit in some major crashes. As a result, the NYSE has imposed rules that define certain times when computer-generated program trading is restricted.

Since the new rules were established, there have been very few disruptions directly attributed to program trading. Given the amount of liquidity that program trading contributes to the stock and futures markets, its effect is probably more beneficial than not, even during sharp corrections.

Timing Is Key

Program buying and selling have a tendency to happen at certain times of the day, sometimes called reversal times. Over time, these will become evident to the attentive observer by spikes in volume and wider price swings. Why is this important? Let's say you own a Dow stock and want to sell it, wouldn't it help you to do so during a buy program?

The Bottom Line

Program trades represent the majority of any given day's market activity, and as such, their impact on market movements is important. Smart investors must watch for patterns and time their buying and selling to make sure they aren't caught on the wrong side of these large-volume computer-controlled trades.

Article Sources
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  1. HL Camp & Co. "Definition of Program Trading."

  2. CME Group. "Calculating Fair Value."

  3. The Robust Trader. "What Percentage of Trading Is Algorithmic?"

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