Nasdaq 100 Volatility: How to Read Average True Range (ATR) on US100

The Nasdaq 100 can sit quietly for weeks and then move several percent in one session. Average true range (ATR) is a simple way to measure how far the index usually travels in a day. It also gives you a way to set stop distances and position sizes that match current conditions instead of a fixed number of points.

This guide covers what ATR measures, how to read it on US100 (the label many trading platforms use for products that track the Nasdaq 100), how it changes between calm and stressed markets, and how it feeds into stop and sizing decisions. It is general education only. It is not a recommendation to trade.

What you are measuring

The Nasdaq-100 Index is designed to measure the performance of 100 of the largest Nasdaq-listed non-financial companies, and it employs a modified market capitalization weighting scheme. In practice, bigger companies have more influence on the index's movements, but with guardrails in place to prevent any single company from dominating the whole index.

That mix of growth stocks is why the Nasdaq 100 usually swings more than broader benchmarks. Nasdaq itself notes that its volatility gauge trades at a higher numerical value than the VIX, because the Nasdaq-100 contains more growth-oriented, and potentially more volatile, stocks than the more diverse S&P 500. Stop distances that suit a slower index can be too tight here.

How ATR is calculated

Welles Wilder created the ATR and featured it in his book New Concepts in Technical Trading Systems, published in 1978. It starts with the "true range" of each bar, which is the largest of three values:

• today's high minus today's low
• the distance from the previous close to today's high
• the distance from the previous close to today's low

A volatility formula based only on the high-low range would fail to capture volatility from gap moves, and Wilder created Average True Range to capture this "missing" volatility. If the index opens well below yesterday's close, that gap counts as part of the day's range.

ATR is then a smoothed average of those true ranges. By default on many platforms, it is a 14-period Wilder's moving average, and both the period and the type of moving average can be customized. Each new ATR value is the (13 previous ATR + today's true range)/14. Check which smoothing your charting tool uses, because TradingView, for example, uses a Relative Moving Average (RMA) of the True Range by default, but the smoothing type can be changed to SMA, EMA or WMA. Different settings give different ATR readings on the same chart.

Two things about ATR are often misunderstood:

1. It shows how far, not which way. The indicator does not provide an indication of price trend, simply the degree of price volatility. 2. It lags. The newest bar contributes only 1/14 of each new value, so a gap registers in true range immediately but reaches the average gradually.

Reading ATR on US100: points and percent

ATR is quoted in index points. Points are hard to compare over long periods because the index level changes. Hypothetical illustration: a 300-point day is about 3% of an index at 10,000 but only about 1% of an index at 30,000. Dividing ATR by price turns it into a percentage, which you can compare across years.

Hypothetical example: say US100 trades at 27,000 and the 14-day ATR is 400 points. 400 ÷ 27,000 ≈ 1.5%, so the index has recently been moving about 1.5% a day on average. If ATR later reads 270 points at the same price, the typical range is closer to 1%. These numbers are made up to show the arithmetic. They are not current readings.

Some US100 practical details:

• Daily candles depend on your platform. Products that trade close to the clock may start the "day" at a different hour than the cash index session. That changes the highs, lows and closes, and so the ATR.
• Use more than one timeframe. Daily ATR shows the typical full-day range. Hourly ATR shows how much price moves within a session. Many traders use daily ATR for swing stops and shorter timeframes for intraday stops.
• Product prices can differ from the index. A broker's US100 price may not match the official Nasdaq-100 value exactly, so calculate ATR on the instrument you actually trade.

How ATR changes across volatility regimes

Volatility comes in clusters. Quiet periods produce low ATR readings for weeks. Shocks push ATR up quickly, and it often stays high for a while afterwards. Early November 2026 is a clear recent example.

On Thursday, 5 November 2026, the cash Nasdaq-100 index fell 6.36%. The futures fell by a slightly different amount, because futures and the cash index have different settlement times and pricing. FOREX.com analysts described the futures move as one of the largest Nasdaq 100 sell-offs on record, with Thursday's decline in futures the largest in points terms since the dataset began in 1999, while the 6.35% drop ranks among the worst 0.4% of daily percentage moves. For the week to 6 November, the cash index closed 26,989.99, down 4.91%, and its 20-day historical volatility (HV20) rose 9.4 points.

The options market's gauge moved too. The Cboe-Nasdaq 100 Volatility Index (VXN) is a real-time market indicator measuring expected 30-day volatility for the Nasdaq-100 Index. On 5 November, the VXN surged 52.55%, its fourth-largest daily percentage increase on record, though at 38.26 it remained well below the extremes witnessed during previous major market downturns, including the pandemic plunge and the tech wreck of the early 2000s. As of the 6 November close, the VXN closed at 34.02, above 99% of its readings over the past year.

For comparison, one historical dataset shows the VXN at 19.56 at the end of 2025. Over the series from 2001, it shows a secular mean of 25.12, with an all-time peak of 82.49 (2001-09-20) and a cyclical floor of 10.31 (2017-03-20).

What this means for ATR readers:

• One shock day pulls ATR up but doesn't fully reset it. Because of the 1/14 weighting, a single day like 5 November raises a 14-day ATR noticeably, but the average keeps rising only if large ranges continue.
• ATR stays high after the shock. Weeks after a sell-off, ATR can still reflect the stressed period even if daily ranges have started to shrink. The reverse also happens: a long calm stretch can leave ATR low just before volatility returns.
• Use VXN as a forward-looking check. ATR looks back, while VXN reflects what options traders expect. Note that a VXN of 25 does not mean that the Nasdaq-100 is expected to move 25% over the next 30 days; it corresponds to an expected volatility of 25% per year. To compare it with daily ATR, traders commonly scale the annual figure down to a daily one by dividing by the square root of the number of trading days in a year. If that implied daily move is well above your ATR as a percentage, ATR may be lagging what the market expects.

You can sort regimes roughly by comparing current ATR with its own longer history, for example where today's 14-day ATR sits within its past-year range. Avoid fixed point thresholds, because the "normal" range in points rises and falls with the index level.

Using ATR to set stop distance

The basic idea is to place a stop beyond the index's normal day-to-day movement. A stop well inside one day's ATR is likely to be hit by ordinary movement, even if your view of the market was reasonable.

A common approach is to set the stop at a multiple of ATR from your entry, such as 1×, 1.5× or 2×. No multiple is "correct." Larger multiples get stopped out by noise less often, but each loss is bigger when the stop is hit.

Hypothetical example: US100 at 27,000 with a daily ATR of 400 points.

• 1× ATR stop = 400 points away
• 1.5× ATR stop = 600 points away
• 2× ATR stop = 800 points away

If ATR doubles to 800 points in a stressed regime, the same multiples become 800, 1,200 and 1,600 points. That is the main benefit of ATR-based stops: they widen and narrow with conditions. It also means a wider stop needs a smaller position, which the next section covers.

Stop orders have limits. A stop is an instruction, not a guaranteed price. Gaps and fast markets can fill it well beyond the level you set, and that risk is highest in exactly the regimes where ATR is rising.

Using ATR for position sizing

ATR sizing links three numbers: how much of the account you are willing to lose on one trade, how far away the stop is, and how much the position gains or loses per point.

Position size = (account × risk per trade) ÷ (stop distance in points × value per point)

Hypothetical example, larger account: $10,000 account, 1% risk ($100), stop at 1.5× ATR = 600 points. Size = $100 ÷ 600 ≈ $0.17 per point. If ATR doubles and the stop becomes 1,200 points, the same $100 risk allows only about $0.08 per point. The position halves so the cash at risk stays the same.

Hypothetical example, $100 account: 1% risk is $1. With a 600-point stop, that works out to under $0.002 per point. Many platforms have minimum trade sizes far above that. If the smallest position you can open is worth $0.10 per point, a 600-point stop risks $60, which is 60% of the account on one trade.

This is the honest limitation for small accounts. In high-ATR regimes, a stop wide enough to sit outside normal noise may not be compatible with sensible risk per trade at the minimum position size. You then have to choose between a stop inside the noise, a much larger share of the account at risk, or not trading. ATR doesn't fix that conflict, but it makes it visible before you place a trade.

How leverage magnifies the damage

Most retail US100 exposure is leveraged, usually through CFDs. In the EU, ESMA's rules cap retail leverage at 20:1 for non-major currency pairs, gold and major indices, and ESMA's major indices include the NASDAQ 100. In margin terms, 20:1 means 5%. Caps are different in other jurisdictions, and some offshore providers offer far more.

Hypothetical example: a trader puts up $100 of margin at 20:1 and controls $2,000 of US100 exposure. A one-day move the size of the cash index's 6.36% fall on 5 November would change that position's value by about $127, which is more than the whole deposit. On the same $100 deposit at higher leverage, a much smaller move would wipe out the account.

Leverage doesn't change the index's ATR. It changes how many dollars each ATR-sized move costs you. Regulators acted because of this: ESMA concluded that there exists a significant investor protection concern in relation to CFDs offered to retail investors, due in part to their complexity and lack of transparency and the particular features of CFDs – excessive leverage. EU retail clients also get negative balance protection, limiting a retail investor's aggregate liability for all CFDs connected to a CFD trading account to the funds in that account. That caps the loss at your deposit. It does not protect the deposit itself.

Where Markitel fits

Markitel is a market-data and trading-tools site. It is not a broker, custodian or adviser, and it does not hold funds or execute trades. If you look at US100 signals on Markitel, they come from Markitel's rule-based ten-factor technical engine. That output is a description of current technical conditions. It is not a forecast and not a recommendation. Checking any signal against the current ATR regime, and against what you can afford to lose, remains your job.

Key takeaways

• ATR measures how far US100 typically moves per bar, including gaps. It says nothing about direction and lags sudden shocks because each new bar carries only 1/14 of the weight.
• Turn ATR into a percentage of price to compare regimes, and use VXN as a forward-looking check on whether ATR is lagging. As of the 6 November 2026 close, VXN was 34.02, after the cash Nasdaq-100's 6.36% one-day fall on 5 November.
• ATR-based stops widen and narrow with conditions. Position size has to shrink as stop distance grows to keep the cash at risk the same.
• On $50–$100 accounts, minimum trade sizes often make ATR-appropriate stops incompatible with small risk per trade. Treat that as a real limit, not something to work around.
• Leverage doesn't change the index's range but multiplies what each move costs you. At 20:1, a single day like 5 November 2026 could cost more than the full margin deposit.