August 27, 2026
Bob Iaccino, Chief Market Strategist and Co-Founder of Path Trading Partners, joins us live every Thursday from 11am ET, as our risk management educator. With 30 years' experience working as an active investor in equities, commodities, futures and FX, Bob brings extensive practical experience to the subject of risk management.
Bob has developed a method for breaking down his key fundamentals of risk management, in a way that he thinks retail traders can understand and use to get actionable insights to bring into their own trading. Below are some excerpts of Bob's thoughts from a recent live session. If you'd like to save your seat to watch and participate in the next session, register here.*
Molly and Robert are fictional traders (any resemblance to actual traders, profitable or otherwise, is purely coincidental). Robert trades a fixed number of shares regardless of the stock, and he uses a fixed dollar amount for his stop. His trade plan essentially says, "I will always trade 100 shares, and I'll limit my losses to $500. Once I'm down $500, I'm out." He does this whether he's trading a high-priced US electric vehicle maker or a large US consumer staples company.
Molly takes a different approach. She adjusts her position size based on the price and volatility of the stock so that her risk stays essentially the same whether she's trading a major US semiconductor company or a large US healthcare and pharmaceutical business.
Both Molly and Robert are disciplined traders. They follow their plans, they respect their stops, and both may have very good processes for finding stocks that are likely to move higher. We're not trying to figure out who has better entries or who is the better stock picker. The question is who is managing capital and risk more effectively. I would argue it's Molly, and here's why.
Individual stocks trade at very different prices and have very different levels of volatility, and both matter when you're managing risk. Some stocks simply move a lot more than others on a daily, weekly, and monthly basis. A US memory chip maker, for example, is much more volatile than a large US beverage and snacks company.
If Robert always trades 100 shares and limits himself to a $500 loss, he is effectively giving every stock the same $5-per-share stop. But that $5 move can representa very differentpercentage move depending on the price of the stock, and it can be perfectly normal for one stock while being an unusually large move for another.
That's the problem with Robert's approach. His fixed dollar stop doesn't necessarily tell him when his trade thesis is wrong. On a higher-priced, more volatile stock, he could hit that $500 stop very quickly even though the trade itself is still perfectly valid. On a lower-volatility stock, his thesis could already be wrong and the stock still may not have moved enough to trigger that same stop. His stop is being determined by the amount of money he is willing to lose rather than by how that particular stock actually trades.
Putting Numbers Around It
ATR, or Average True Range, tells us roughly how much a stock typically moves over a given period. If Robert always trades 100 shares and a high-priced electric vehicle maker has an ATR of about $13.65, a one-ATR move against him representsroughly $1,365 of risk. With a large consumer staples company at an ATR closer to $3.40, that same one-ATR move represents only about $340.
Same number of shares, but almost four times the risk in one versus the other. In other words, theoretically Robert gets stopped out of the volatile name but not the stable one — and neither outcome had anything to do with whether his analysis was correct.
Molly approaches the problem from the opposite direction. She first decides how much money she is willing to risk, then determines where the stop belongs based on the stock's price action and volatility. Once she knows the distance between her entry price and her stop, she can calculate how many shares to trade.
The formula is:
Position Size = Maximum Dollar Risk ÷ Risk Per Share
And:
Risk Per Share = Entry Price − Stop Price
So if Molly is willing to risk $500 and her entry is $100 with a stop at $95, she is risking $5 per share:
$500 ÷ $5 = 100 shares
If she is using one ATR as the distance to her stop, the formula becomes:
Position Size = Maximum Dollar Risk ÷ ATR
Applying It to Real Volatility Profiles
Now we can apply that to actual stocks. If a major US semiconductor company has an ATR around $7.60, risking $500 over one ATR gives Molly roughly 66 shares. If a large US healthcare company has an ATR around $5.95, that same $500 of risk gives her roughly 84 shares.
Her position size changes, but her risk stays consistent. That's the difference between simply deciding how many shares to trade and sizing the position around the actual risk of the stock.
| Stock Profile | Approx. ATR | Max Dollar Risk | Position Size (1 ATR stop) | Risk if Trading 100 Shares |
| High-priced EV maker (high volatility) | $13.65 | $500 | 36 shares | $1,365 |
| Semiconductor / AI chip maker | $7.60 | $500 | 66 shares | $760 |
| Healthcare / pharmaceutical | $5.95 | $500 | 84 shares | $595 |
| Consumer staples (low volatility) | $3.40 | $500 | 147 shares | $340 |
Read the last two columns together and the point becomes obvious. Sizing around ATR holds risk constant at $500 across all four. Trading a fixed 100 shares lets risk swing from $340 to $1,365 — a four-fold difference driven entirely by which stock you happened to pick, not by any decision you consciously made.
Many professional traders position-size around risk. A lot of retail traders take what some experienced traders would consider the easier route: trade 100 shares, risk $500, and move on. But becoming a successful trader usually requires more work than that.
Some traders, myself included, use technically significant price levels to help determine where a trade is wrong. That might be a support or resistance level that has been tested several times and also lines up with an important retracement level or critical moving average. The stop goes beyond that level, and from there you work backward to calculate your position size.
Once you know your entry price and where the stop belongs, you know your risk per share. Only then can you calculate the number of shares that keeps the total risk within your limits.
If you're building a day trading watchlist, this is where a stock scanner and your sizing framework meet. The scanner surfaces candidates. The levels on each chart tell you where the stop belongs. The ATR or the level distance tells you the risk per share. The formula tells you the share count. Each step feeds the next, and none of them start with "how many shares do I usually trade?"
Regardless of how you determine your stop, the important point is that the stop should come before the position size. You first need to identify the price level where your trade thesis is no longer valid.
Simply deciding how much money you are willing to lose and building the trade around that number can create problems, particularly in volatile stocks. You may believe you're controlling risk because you'vecapped the dollar loss, but if the stop sits inside the stock's normal trading range, you could find yourself getting stopped out of otherwise valid trades.
The Cycle This Creates
That can create another problem. After getting stopped out repeatedly, traders may start looking for even more volatile stocks because they want enough upside to make back what they lost. That can turn into a cycle where the real issue — position sizing — never gets addressed.
Proper position sizing gives you another option. Instead of needing every stock to make a huge move, you can adjust the number of shares to the characteristics of the stock. In a lower-volatility stock, you might trade more shares. In a higher-volatility stock, you might trade fewer. The goal is to keep the risk relatively consistent while giving each trade enough room to work.
The formula works identically on the short side, with the arithmetic reversed. Risk per share on a short selling trade is the stop price above your entry, minus the entry price. Maximum dollar risk divided by that figure gives you the number of shares to short. Same discipline, same rounding down, same principle that the stop is set by the chart rather than by the share count you had in mind.
There are two additions worth building into the calculation on the short side.
The first is borrow cost. Hard to borrow locates carry a rate, and on any position held beyond the session that cost sits against the reward side of the trade. It doesn't change your risk per share, but it does change the reward-to-risk ratio you calculated before entry — so it belongs in the math up front rather than as a surprise on the statement.
The second is availability. A correctly sized short position on a stock you can't borrow isn't a trade. On a short selling platform with real-time locates, confirming availability is a step you take before you do the sizing work, not after.
There's another benefit to this process that I think is just as important.
I've always said the only time you're thinking completely logically and clearly about a trade is before you enter it. Once you're in, emotion can start creeping into the decision-making.
If you simply decide, "I always trade 100 shares," there isn't much thought required. But when you have to identify the level where you're wrong, determine your stop, calculate the risk per share, and then work out the proper position size, you're forcing yourself to build the entire trade before you ever put it on. That'sa very good habit for any trader to develop.
It matters more the faster you trade. A day trader making several decisions in a session has less time to think each one through in real time, which makes the pre-built structure the only thing standing between a considered trade and a reactive one.
None of this guarantees a higher win rate or better returns. Nothing in trading does. But it can help create a more consistent process, reduce the chances of getting stopped out simply because a stock is volatile, and make it easier to trade across a much broader range of stocks.
What is the ATR position sizing formula?
The formula is: Position Size = Maximum Dollar Risk ÷ Risk Per Share. When you use one ATR as the distance from your entry to your stop, it simplifies to: Position Size = Maximum Dollar Risk ÷ ATR. So a trader willing to risk $500 on a stock with an ATR of $7.60 would trade roughly 66 shares. The same $500 on a stock with an ATR of $3.40 would give roughly 147 shares. The dollar risk stays constant; the share count adjusts to the volatility.
What does ATR mean in trading?
ATR stands for Average True Range. It measures roughly how much a stock typically moves over a given period, which makes it a practical proxy for volatility. Two stocks can trade at similar prices with very different ATRs — meaning a $5 move is routine daily noise in one and an unusually large move in the other. That difference is exactly what a fixed-share, fixed-dollar-stop approach fails to account for.
Why shouldn't I just trade the same number of shares every time?
Because a fixed share count gives every stock the same effective stop in dollar terms, regardless of how that stock actually trades. Trading 100 shares with a $500 maximum loss is a $5-per-share stop on everything you touch. On a volatile, higher-priced name, $5 may sit well inside normal daily range — so you get stopped out of valid trades. On a low-volatility name, your thesis could be wrong long before price moves $5. In both cases the stop is being set by your wallet rather than by the chart.
Should I set my stop before or after calculating position size?
Always before. Identify the price level where your trade thesis is no longer valid, place the stop beyond that level, and only then work backward to the share count. Deciding the dollar loss first and building the trade around it can put your stop inside the stock's normal trading range, which produces stop-outs that have nothing to do with whether your analysis was right.
How do I decide where my stop belongs?
Two common approaches. The first is volatility-based: use one ATR as the distance from entry. The second is structure-based: place the stop beyond a technically significant level — a support or resistance area tested several times, ideally one that also lines up with an important retracement level or a critical moving average. Either way, the stop is determined by how the stock trades, not by the amount you're prepared to lose.
How much should I risk per trade?
That's a decision each trader has to make based on account size, strategy, and temperament, and it's usually expressed as a percentage of the account rather than a fixed dollar figure — so that the amount scales as the account grows or shrinks. Whatever percentage you choose, the ATR formula takes that dollar figure as its input. The formula tells you the share count; it doesn't tell you the risk appetite.
Does ATR position sizing work for day trading?
Yes, and the underlying issue it solves is arguably more acute in day trading than in longer-horizon trading. Intraday moves in a volatile name can cover an entire fixed-dollar stop in minutes while the setup remains perfectly valid. Sizing around ATR — or around an ATR calculated on your trading timeframe rather than the daily — keeps the risk consistent across whatever you'retrading that session.
Can I use ATR position sizing for short trades?
Yes. Risk per share becomes your stop price above entry minus your entry price, and the formula is otherwise unchanged. Two additions apply on the short side: borrow costs on hard to borrow locates sit against the reward side of the trade for anything held beyond the session, and share availability needs confirming before you do the sizing work at all.
Does position sizing around ATR improve my win rate?
No, and it isn't intended to. Position sizing doesn't make your entries better or your analysis sharper. What it can do is create a more consistent process, reduce the chances of getting stopped out simply because a stock is volatile, and make it practical to trade across a much broader range of stocks. Nothing in trading guarantees returns.
What ATR period should I use?
The 14-period ATR is the most widely used default and is a reasonable starting point on daily charts. The more important consideration is matching the ATR period to your holding period — an ATR calculated on daily bars describes daily movement, which may not represent the risk profile of a position you intend to hold for minutes or for months. Whichever setting you use, apply it consistently so your position sizes remain comparable across trades.
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