ATR (Average True Range)

ATR is built from True Range, which measures the largest realistic move for a session rather than just the intraday high minus low. For each day, True Range is the greatest of: (1) high minus low, (2) high minus previous close, or (3) previous close minus low. That gap-aware logic is why ATR is more useful than a simple range calculation.

Once True Range is calculated for each bar, the values are smoothed into an average over your chosen lookback, usually 14 periods. Wilder's original smoothing method gives more weight to the latest bar while still keeping the series stable. The result is a single value that tells you how much movement is normal right now.

A practical reading rule: if price is moving less than roughly one ATR from your entry, the move is still within normal noise. If it pushes well beyond one ATR, the market is doing something more meaningful than average. That is why the best technical indicators for day trading stack usually includes ATR or ATR% alongside VWAP, relative volume, and RSI.

ATR is built in two steps. First, for each trading day, calculate the True Range — the largest of: (1) today's high minus today's low, (2) today's high minus yesterday's close, or (3) yesterday's close minus today's low. Taking the absolute values of cases 2 and 3 is what makes it "true" range — it captures overnight gaps that a simple high-minus-low calculation misses entirely.

Second, smooth those True Range values using a 14-period exponential moving average (Wilder's smoothing): ATR = ((Previous ATR × 13) + Current True Range) / 14. On the first day you simply average the first 14 True Range values.

Example: NVDA is trading at $880. Yesterday it closed at $870. Today it opened gap-up to $885 and traded a range of $875–$900. True Range = max(900−875, 900−870, 870−875) = max(25, 30, 5) = $30. If the 14-day ATR was $22, today's new ATR = ((22 × 13) + 30) / 14 = $22.57. That's how a gap-up day pushes ATR higher.

Fixed dollar stops are the amateur's mistake. A $2 stop on a $50 stock with a $4 daily ATR will get hit by random noise most days. An ATR-based stop scales to what the stock actually does.

The formula: Stop = Entry Price − (ATR Multiplier × ATR) for long trades. Common multipliers:

1× ATR: Tight stop, suits scalping or high-conviction setups on calm stocks. Gets stopped out by bigger news or intraday swings.

1.5× ATR: Standard swing trade stop. Survives normal daily volatility while limiting downside.

2× ATR: Wide stop for volatile stocks (ATR% > 3%), volatile markets, or when holding through earnings. Requires smaller position size.

Practical example: You're buying AAPL at $190. AAPL's 14-day ATR is $3.20. Using 1.5× ATR: stop = $190 − (1.5 × $3.20) = $190 − $4.80 = $185.20. You know exactly why the stop is there — it's one and a half times AAPL's typical daily move below your entry.

ATR-based position sizing is how professional traders ensure they risk the same dollar amount on every trade, regardless of the stock's price or volatility.

Formula: Position Size (shares) = Dollar Risk per Trade / (ATR Multiplier × ATR)

Example: You have a $25,000 account and risk 1% per trade ($250). Stock A has ATR $2.50, using 1.5× ATR stop: Shares = $250 / (1.5 × $2.50) = 66 shares

Stock B is more volatile with ATR $8.00, same 1.5× stop: Shares = $250 / (1.5 × $8.00) = 20 shares

You risk exactly $250 on both. Without ATR normalization, a trader might buy 50 shares of both — risking $187 on Stock A and $600 on Stock B without realizing it. This is why ATR-based sizing is foundational to consistent risk management.

ATR% (ATR divided by price, times 100) lets you compare volatility across stocks at different price levels. A $400 stock with ATR $8 has the same ATR% as a $100 stock with ATR $2 — both are 2% daily movers.

That same logic also helps with portfolio heat. If several positions all have elevated ATR, your aggregate risk is higher than the share count suggests, so Tradewink scales size down across the book instead of treating each ticker in isolation. If you want the broader framework behind that math, the position sizing guide and risk management essentials pages use the same principle from different angles.

The default 14-period ATR reflects Wilder's original design — roughly three trading weeks of data, balancing responsiveness with smoothness. But different strategies benefit from different periods.

ATR(7): More reactive, responds faster to recent volatility spikes. Used by day traders who want to size positions based on the last week's behavior, not last month's. Prone to whipsaw during sudden volatility regime changes.

ATR(14): The standard. Works well for most swing trade setups on daily charts. The benchmark most platforms default to and most traders reference.

ATR(21): Smoother, slower to update. Preferred by position traders and those trading weekly charts. Less responsive to individual day spikes — if one day has an extreme range, it affects ATR(21) less than ATR(7).

For intraday charts: ATR(14) on a 5-minute chart gives the average 5-minute range over the last 70 minutes (14 bars × 5 min). On a 15-minute chart it covers 3.5 hours. Adjust your stop multiplier lower when using short intraday ATR — 0.5×–1× ATR is typical for day trading stops.

The period choice should match your holding time. If your average trade lasts 20 minutes, a daily ATR is too slow to be useful. If your average hold is several days, a 1-minute ATR is too twitchy to help.

Tradewink uses ATR as more than a chart note. In the screener, ATR% helps decide whether a ticker has enough movement to justify attention. In the evaluator, ATR influences whether a setup needs a wider stop or a smaller position. In the monitor, ATR helps determine whether the trade is behaving normally or whether volatility has expanded enough to justify a more cautious exit.

That matters because the same signal can be healthy in one volatility regime and fragile in another. A breakout on a stock with compressing ATR may need confirmation from VWAP and relative volume. A reversal setup in a high-ATR name may need more room and a lower size cap. Tradewink's point is not to predict the next candle; it is to keep the trade plan consistent with the market's current movement.

Day traders use ATR differently from swing traders. The core principle is the same — scale stops and size to volatility — but the timeframe and application shift.

For day trading, ATR% is the screening filter: most day traders only consider stocks with ATR% above 2–3%, because a stock moving less than 2% per day doesn't offer enough range to profit after spreads and commissions. On a $50 stock, that means $1+ ATR minimum. Anything below $0.75 ATR on a $50 stock is typically too quiet for day trading.

Day traders also use ATR to set intraday profit targets. A 1× ATR target from entry is conservative (the stock moves this much on most days). A 1.5–2× ATR target assumes the day is more directional than average — reasonable on strong trend days but aggressive on choppy days.

For swing trading on daily charts, the ATR(14) is the primary stop-sizing tool. Swing traders typically use 1.5–2× ATR for stops and target 3–5× ATR for exits, maintaining a 1.5:1 to 3:1 reward-to-risk ratio. ATR expansions (a sudden spike in ATR) during a swing trade signal increased uncertainty — a common risk management rule is to close or reduce the position when ATR doubles from its recent baseline.

Another practical use is deciding when not to trade. If ATR is collapsing and price is compressed near a major level, Tradewink will often treat that as a setup to wait for expansion instead of forcing a mediocre entry. That is also why the paper trading guide is worth reading before the setup goes live.

ATR measures historical (realized) volatility in price units. Several other indicators measure volatility differently, and knowing when to use each matters.

ATR vs Bollinger Bands: Bollinger Bands use standard deviation of closing prices to draw dynamic envelopes. ATR uses the True Range, which accounts for gaps. For stop-loss and position sizing, ATR is more practical because it gives a dollar figure. Bollinger Bands are better for identifying mean reversion setups (price touching the bands).

ATR vs Implied Volatility (IV): IV is forward-looking — it reflects the options market's expectation of future volatility. ATR is backward-looking — it reflects what actually happened. High IV relative to recent ATR often signals that the market expects an upcoming event (earnings, FDA approval) to cause a larger move than recent history suggests. Comparing IV to ATR helps options traders assess whether options are cheap or expensive.

ATR vs VIX: VIX measures implied volatility for the S&P 500 as a whole. ATR measures realized volatility for a specific stock. A high-VIX environment typically means high ATR across the board — use wider stops and smaller positions across all trades during VIX spikes above 25–30.

Normalized ATR (NATR = ATR / Close × 100): Expresses ATR as a percentage, making cross-stock comparison easier. NATR is particularly useful for screening — filtering to stocks with NATR above 2.5% identifies day-tradable movers regardless of their price level.

ATR also complements support and resistance. If a breakout is only a fraction of an ATR beyond resistance, the move may still be noise. If it clears resistance by more than one ATR on expanding volume, Tradewink treats it as a more durable trend change. The same logic is why ATR remains part of the broader best technical indicators for day trading framework instead of being a standalone metric.

Suppose you want to trade a stock at $72 with a 14-day ATR of $2.40. You are risking 1% of a $20,000 account, or $200.

If you use a 1.5× ATR stop, your stop distance is $3.60. That means your position size is $200 / $3.60 = 55 shares, rounded down to 55. Your total risk is about $198, and your stop is wide enough to survive a normal daily swing.

Now compare that with a stock at the same price but ATR of $5.00. The same 1.5× stop is $7.50, so your position size falls to 26 shares. The trade is automatically smaller because the stock is noisier. That is the real point of ATR: the indicator forces your risk to match the market instead of matching your emotions.

Using ATR as a buy signal: ATR does not tell you whether to enter long or short. It only tells you how much movement to expect.

Copying the same stop multiple on every ticker: 1.5× ATR on a quiet utility and 1.5× ATR on a high-beta biotech are not the same trade. Your stop distance and size must change together.

Ignoring regime changes: ATR can expand quickly around earnings, macro shocks, or a volatility spike. If you keep using stale sizing, risk balloons.

Setting stops inside normal noise: If your stop sits inside the stock's daily ATR, you are likely getting clipped by ordinary movement rather than being wrong on the trade.

Looking only at ATR, not structure: ATR works best when it is paired with support, resistance, VWAP, or a breakout level. Volatility tells you how much room to give the trade; structure tells you where your thesis is invalidated.

In Tradewink, ATR is not just a chart overlay. It is part of the live decision stack that shapes entry quality, size, and exits. The agent uses ATR when comparing scan candidates, the execution layer uses it when translating a signal into shares, and the monitoring layer uses it when deciding whether a stop is too tight for the current regime.

That workflow is closely tied to the risk management essentials, stop-loss strategies guide, best technical indicators for day trading, and paper trading guide. The point is not that ATR predicts the next candle. The point is that ATR keeps the rest of the stack honest when volatility changes faster than a human trader would notice.

When the system sees a ticker with elevated ATR% but weak structure, it can down-rank the setup instead of pretending every big mover is worth taking. When the system sees a clean trend with manageable ATR, it can give the trade more room while still respecting account risk. That is the practical edge: volatility becomes a planning input instead of a surprise.