Every moving average is a delayed picture of price. That is the whole trade-off: smoother lines mean fewer false signals and later entries. Choosing between a simple and an exponential average is really choosing how much delay and noise you want.
SMA versus EMA
A simple moving average (SMA) is the plain average of the last N closes. A 20-period SMA on a 5-minute ES chart adds up the last 20 closes and divides by 20. Each bar has equal weight, and when an old bar drops out of the window, the line can jump.
An exponential moving average (EMA) weights recent closes more. Its multiplier is 2 divided by (N + 1), about 0.095 for a 20-period EMA. Hypothetical numbers: if the prior 20 EMA is 5,800 and the next close is 5,810, the new value is 5,800 + 0.095 x 10 = 5,800.95. The same 10-point close would move a 20 SMA by about 0.5 points in the same direction only if the bar dropping out of the window was unchanged. EMAs react faster and also whip more in choppy conditions.
For intraday work, many traders use EMAs for the responsiveness. Daily SMAs such as the 20, 50 and 200 are widely plotted and frequently referenced, which is a reason to know where they are. I would not assume any of them is defended by anyone. Mark them, watch how price reacts, and keep your own notes.
Averages people commonly watch
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Build the daily map before the session.
See how ES and NQ Key Price Levels fit the daily plan. Follow the room, practice in SIM, and review what happened around each level.
- 8 EMA on a 5-minute chart: a fast reference. In a strong move, price may stay on one side of it with brief touches. A close through it is an early sign of slowing.
- 20 EMA on a 5-minute chart: a common intraday trend reference and a common pullback zone.
- 50 EMA on a 5-minute chart: a slower line that shows whether a deeper pullback is still holding a trend together.
- 20, 50 and 200-day SMAs on a daily chart: short, medium and long-term trend references. Price above the 200-day is often described as a long-term uptrend, and that is a description of where price is, not a forecast.
The crossover problem
A crossover, such as the 50 crossing the 200, is confirmed by price that has already moved. By construction it signals after the turn. You can measure that: find a swing low, note its price, then note the price when the crossover printed. If the swing low was 5,780 and the crossover printed at 5,830, you bought 50 points ($2,500 per ES contract) above the low. A stop beyond the previous swing then risks a lot more than an entry at the pullback would have.
Crossovers can still be useful as a confirmation that a trend exists. They are weak as entries.
Using an EMA as a pullback reference
This is how I would test a pullback entry. Write the rules down first:
- Define the trend. For example, price is above a rising 20 EMA on the 5-minute chart and above the day's opening range midpoint.
- Wait for price to pull back to the 20 EMA. Don't enter at the first touch of the line.
- Require a trigger, such as a bar that closes back above the prior bar's high after touching the EMA.
- Place the stop below the pullback low, or below a level you chose in advance, and price the stop in dollars.
- Set the target from a level or a fixed multiple of risk, and record both.
If a KPL level sits near the EMA, that gives you a second reference point for the stop. KPL levels are fixed reference prices anchored to the regular-session opening print at 9:30 am ET. They are not predictions, they are not known before the open, and they do not move intraday. Whether an EMA and a KPL level together beat the EMA alone is something to log and check, not something to assume. See the KPL trading page for how the levels are built.
What whipsaws cost
In a sideways session, price crosses a 20 EMA again and again. Take a hypothetical day with six failed signals on ES, each stopped for 3 points. That is 18 points, or $900, plus commissions and slippage, before a single good trade pays for it. Moving averages tend to look best in trending conditions and worst in ranges, so the real work is deciding when not to use them.
One common filter is to stand aside when a trend-strength reading such as ADX is low. A threshold like 20 is a convention, not a law. Test your own: run the same EMA pullback rule on days with ADX under and over your threshold and compare the results after costs. Don't assume the filter helps until your log says so.
Putting it together
Pick one average and one timeframe. Define the trend, the pullback, the trigger, the stop and the target in writing. Log every signal, including the ones you skipped, for 50 sessions or more. Thirty trades is not a proven edge, so treat early results as a draft. Then change one thing at a time. The YMI Intro plan is $97/month after a 7-day trial and includes the course, daily ES/NQ KPL levels and the community.
About the Author
Founder, Young Money Investments · Quant Trader
Cameron trades ES, NQ, and futures across multiple market cycles. He founded Young Money Investments to teach systematic, data-driven trading and manages Magnum Opus Capital. His work emphasizes documented rules, risk controls, and review over outcome promises.
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