Average Daily Trading Volume (ADTV)

Average daily trading volume (ADTV) is the average number of shares, contracts or tokens of an asset that change hands each day over a specified period, such as 20, 30 or 90 trading days. It is one of the most common measures of an asset's liquidity and of how much interest traders have in it. ADTV can be expressed in units, such as shares per day, or in value, such as dollars per day.

ADTV is used by traders, fund managers, exchanges, index providers and regulators. It helps decide how large a position can be bought or sold without moving the price too much, whether a stock qualifies for an index or a listing tier, and how certain market rules apply. In crypto, data sites often show trading volume over the last 24 hours; ADTV smooths these daily figures over a longer window.

Think of a busy market street and a quiet side street, both with shops selling the same goods. On the busy street, thousands of people buy and sell every day, so you can sell a large basket of goods quickly without dropping your price much. On the quiet street, selling a big basket might take days or require a steep discount.

ADTV measures how busy the street is on a typical day. A high ADTV means it is easy to get in and out; a low ADTV means even modest orders can push prices around.

The calculation is:

• $V_t$ is the volume traded on day $t$.
• $N$ is the number of trading days in the period.

Suppose a share traded 1.2 million, 0.8 million, 1.5 million, 1.0 million and 1.0 million shares over five days. The total is 5.5 million, so the five-day ADTV is 5.5 ÷ 5 = 1.1 million shares a day. If the share price averaged $20, the value ADTV is about $22 million a day. A fund wanting to buy 500,000 shares would be buying about 45% of a typical day's volume, which would likely move the price, so it might spread the purchase over several days.

• Position sizing. Many funds limit trades to a share of ADTV, often 10% to 25%, to avoid excessive market impact and slippage.
• Liquidity screening. Investors exclude assets with low ADTV, since wide spreads and thin order books make them costly to trade.
• Days to cover. Dividing short interest by ADTV estimates how many days short sellers would need to buy back their positions.
• Breakout confirmation. Technical traders treat price moves on volume well above ADTV as more significant.
• Index rules. Index providers use ADTV and similar liquidity tests to decide which shares qualify, which in turn affects exchange-traded funds that track them.

Several US rules use ADTV. The SEC's Rule 10b-18 gives companies a safe harbour from manipulation claims when buying back their own shares if, among other conditions, daily purchases do not exceed 25% of the stock's ADTV. Regulation M, which governs trading around securities offerings, treats shares with high ADTV and a large public float as "actively traded" and exempts them from some restrictions. Exchanges and regulators also use volume thresholds when setting tick sizes and market-maker obligations for a market maker.

Crypto ADTV figures need care. Volumes are spread across many exchanges, so a single venue's figure may understate total activity, while aggregate figures can include wash trading that inflates apparent liquidity. Data providers have developed adjusted or "reported versus real" volume measures to address this. Because crypto trades every day of the week, ADTV windows include weekends, unlike stock markets. Large differences between a token's ADTV and its market capitalization can signal either very active trading or questionable volume data.

ADTV is an average and can hide spikes: a few days of heavy news-driven trading can lift it well above normal levels. It does not show how much volume is available at the best prices, so order book depth and bid-ask spreads are also needed to judge liquidity. Volume traded off-exchange, for example in dark pools, may or may not be included depending on the data source. Analysts therefore look at ADTV alongside median volume, spreads and price impact measures.