Trades
Number of trades
💡 What is Trades (Number of Transactions)?
Trades (daily number of transactions) refers to the total number of buy and sell orders that were actually executed on a particular stock during one day. While Volume shows "how many shares were traded," Trades shows "how many transactions took place." These two concepts may seem similar, but there is an important difference.
Easy to understand: Imagine a fruit shop. In one day, 1,000 apples were sold (Volume = 1,000). If one person came and bought 500 apples at once, and five other people bought 100 apples each, the number of transactions is 6. On the other hand, if 200 people each bought 5 apples, the number of transactions is 200. Even though the Volume is the same 1,000, the number of transactions is very different: 6 versus 200. A high number of transactions means more "participants" are actively trading.
By analyzing the number of Trades, you can understand the composition and behavior patterns of market participants. If the number of transactions is low while the volume is high, there is a high likelihood that large institutional investors are making large block trades. On the other hand, if the number of transactions is high but the volume is relatively low, it is likely that individual investors are actively trading in small amounts.
In the US stock market, Trades data is the sum of transactions executed on all exchanges (NYSE, NASDAQ, BATS, IEX, etc.) and Dark Pools. The range varies greatly by stock, from large-cap stocks with millions of transactions per day to small-cap stocks with just a few hundred.
🔍 Why Should You Look at Trades?
1. Identifying the composition of market participants: By comparing the number of Trades with Volume, you can calculate the Average Trade Size. Average Trade Size = Volume / Trades. If the Average Trade Size is large, it can be inferred that institutional investors are the main traders. If it is small, individual (retail) investors are the main traders.
2. Measuring the intensity of market activity: The number of Trades shows the actual level of market interest in that stock. Volume alone can be inflated by one or two large block trades, but the number of Trades shows how many independent buy/sell decisions were actually made, so it is closer to the "true level of interest."
3. Evaluating the depth of liquidity: Even with the same volume, a higher number of transactions means liquidity is described as "deep." A high number of transactions means buy and sell orders are actively placed at various price levels, so even when a large order comes in, there is less price impact.
4. Detecting algorithmic trading: High-Frequency Trading (HFT) executes many small transactions in a very short period of time. If the number of Trades is abnormally high while the Average Trade Size is very small, HFT activity may be active. While this has little direct impact on individual investors, it helps in understanding market microstructure.
🔎 How to Check Trades
Trades data is less well known to general investors compared to Volume, but it can be checked from several data sources. It can be found in the 'Trades' column of the Finviz screener, and is also provided by some brokerage platforms.
Examples of Trades for Large-Cap Stocks
Apple (AAPL): 1–2 million per day / Tesla (TSLA): 2–4 million per day / NVIDIA (NVDA): 3–6 million per day. These stocks see active participation from both individual and institutional investors, with millions of individual transactions executed every day.
Examples of Trades for Mid- and Small-Cap Stocks
Mid-cap stocks with a market cap of $1–5 billion see 50,000–200,000 transactions per day, and small-caps see around 1,000–10,000 per day. Stocks with extremely few transactions may have wide bid-ask spreads and can be difficult to trade.
Example of calculating Average Trade Size: If NVIDIA's daily volume is 300 million shares and the number of transactions is 5 million, the Average Trade Size = 300 million / 5 million = 60 shares. This means that, on average, 60 shares are traded per transaction. If, on the same day, small-cap stock A has a volume of 100,000 shares and 2,000 transactions, the Average Trade Size = 100,000 / 2,000 = 50 shares. While the Average Trade Sizes look similar, the difference in absolute transaction counts and volume creates the difference in liquidity.
💡 How to Use Trades
1. Analyzing the Volume-to-Trades ratio: By tracking changes in the Volume/Trades ratio (Average Trade Size), you can detect changes in the composition of market participants. If the Average Trade Size of a stock that normally trades at 100 shares suddenly jumps to 500, there is a high chance that large institutional buying or selling has begun. This can signal a change in price direction.
2. Identifying Meme Stocks: In the meme stock phenomenon driven by social media virality among retail investors, the number of Trades explodes. During the meme stock boom of GameStop (GME) or AMC Entertainment (AMC), the number of transactions surged to more than 10 times the normal level, reflecting massive retail participation. The Average Trade Size actually shrank because of the flood of small retail trades.
3. Intraday trading patterns: In the US regular session, the times with the highest number of transactions are the first 30 minutes (9:30–10:00 ET) and the last 30 minutes (15:30–16:00 ET). Large institutional orders are concentrated during these times, and volatility is also at its highest. The middle hours (11:00–14:00 ET) are relatively quiet. Knowing this pattern helps with timing trades.
4. Options expiration (OPEX) effects: On options expiration dates (usually the third Friday of every month), the number of Trades increases significantly compared to normal. This is because stock transactions related to option exercises occur in large volumes. Especially on quarterly expirations (March, June, September, December), the number of transactions surges even more, which is called "Quadruple Witching."
5. Comparing ETFs versus individual stocks: Large ETFs like SPY record far more transactions than individual stocks. SPY's daily number of transactions reaches tens of millions, showing that it is one of the most actively traded financial products in the world. Choosing an ETF with enough transactions when investing also leads to higher trading efficiency.
🔗 Related Indicators
Volume (Trading Volume)
The total number of shares traded. Looking at it together with Trades helps you understand market microstructure. When Volume is large and Trades is also large, liquidity is in the healthiest state.
Avg Volume (Average Volume)
The 3-month average daily volume. Just as comparing today's Volume with the average gives you relative volume (RVOL), comparing today's Trades with the average Trades helps you detect unusual trading activity.
Bid-Ask Spread
The difference between the highest bid price and the lowest ask price. Stocks with many Trades have narrow spreads, while stocks with few Trades have wide spreads. The spread is a form of transaction cost, so narrower is better for investors.
VWAP (Volume-Weighted Average Price)
The average trading price calculated by weighting volume. It is often used by institutional investors as a benchmark for evaluating whether their trade execution was efficient. Buying above VWAP means you got a worse fill, while buying below VWAP means you got a better fill.
⚠️ Cautions
First, do not make investment decisions based solely on the number of Trades. The number of transactions shows only one aspect of market activity. You must analyze it comprehensively together with Volume, price change (Change), and technical patterns. A high number of transactions does not mean the stock price will rise.
Second, be aware of the distortion from algorithmic trading. In the modern US stock market, 50–70% of all transactions are generated by algorithms. This can artificially inflate the number of Trades. The numerous small transactions generated by HFT may be market making activity rather than actual investment intent.
Third, do not overlook dark pool trading. About 40% of US stock trading takes place on dark pools, which are private exchanges. Because dark pool transactions are reported only after execution, there may be delays in real-time Trades data. Also, large institutional block trades are handled in dark pools, so looking only at public exchange Trades data does not capture the full picture of trading activity.
Fourth, distinguish between regular session and extended-hours trading. The number of transactions in the premarket (4:00–9:30 ET) and after-hours (16:00–20:00 ET) is significantly lower than in the regular session. A low number of Trades during these extended hours is normal, and price movements during these times can change significantly in the regular session.
✅ Investment Checklist
☑ Does the stock you are interested in have a sufficient daily average number of transactions? (At least tens of thousands is recommended)
☑ Is today's number of transactions unusually high or low compared to normal?
☑ Have you observed changes in the Average Trade Size (Volume/Trades)?
☑ Do the number of transactions and the direction of price change match?
☑ Are special events such as options expiration affecting the number of transactions?
❓ Frequently Asked Questions (FAQ)
Q. How is Trades (number of transactions) different from Volume?
A. Volume is the total number of shares traded, and Trades is the number of times transactions were executed. For example, if one transaction buys 1,000 shares at once, Volume = 1,000 and Trades = 1. On the other hand, trading 10 shares 100 times gives Volume = 1,000 and Trades = 100. Even though the Volume is the same, a different number of Trades indicates a different mix of market participants. Volume shows the "size" of trades, and Trades shows the "frequency" of trades.
Q. How should I interpret a sudden surge in the number of transactions?
A. A sudden surge in the number of transactions means that market interest in that stock has suddenly increased. Causes vary: earnings announcements, M&A news, analyst rating changes, social media virality, FDA approvals, options expiration, and more. The key is to identify why the number of transactions surged. Check the news and analyze it together with price direction and volume. A surge in transaction count without a clear reason could even be a sign of insider trading, so extra caution is needed.
Q. How useful is Trades data for individual investors?
A. For most individual investors, Trades data is supplementary information. Basic data such as price, volume, and change rate is more directly useful. However, it does help when screening for stocks with sufficient liquidity or detecting unusual market activity. Especially when investing in small-cap or low-liquidity stocks, if the number of Trades is too low, trading itself can be difficult, so it is recommended to use this at least as a basic check.
Q. Can I see the number of transactions in the Korean stock market too?
A. Yes, the Korean stock market also provides the number of transactions (execution count). You can check it as "execution count" or "transaction count" on your Korean brokerage's HTS (Home Trading System). Korea also uses an indicator called "execution strength" (ratio of buy executions to sell executions), which shows buy/sell pressure. The same concept can apply to the US market, but data accessibility differs.
🇰🇷 Notes for Korean Investors
When Korean investors trade US stocks, the most practical use of Trades data is to check the stock's liquidity in advance rather than as a direct buy/sell signal. Stocks with very few transactions (a few hundred or fewer per day) may experience delayed execution or may not fill at your desired price even when you place an order during Korean hours.
The top US stocks frequently traded by Korean investors (Apple, Tesla, NVIDIA, Amazon, Microsoft, etc.) are all mega-cap stocks with several million transactions per day, so liquidity is rarely a concern. What you need to be careful about is when investing in thematic ETFs or small-cap stocks. In those cases, always check the Trades and Avg Volume to pre-screen tradability.
It's also helpful to understand the structure of US market trading hours. Transactions are most concentrated from 11:30 PM to midnight Korea time (the first 30 minutes of the US session) and from 5:30 AM to 6:00 AM Korea time (the last 30 minutes of the US session). Trading during these times results in the smoothest fills and the tightest spreads. Trading is relatively quiet from 1 AM to 3 AM Korea time (midday in the US), so for non-urgent trades, placing orders at the open or close is more efficient.