MNQ EMA Strategy: backtest results after fees, and how the rule works

MNQ EMA Strategy at a glance

Kind of rule	A gauge with a line (momentum oscillator)
Buys or sells	It can buy, and it can bet on falling prices.
Built on	Donchian Channels, EMA, RSI
Where it was published	TradingView, by its author, as a Pine Script strategy
Tested on	14 cells: 4 coins on 5 chart speeds (15m, 30m, 1h, 4h, 1D), October 2021 to June 2026
Fee in the test	0.12 percent per side, buys only
Middle result after fees, every cell	−0.0%
Cells above zero	4 of 14
Cells that cleared the quality check	0 of 14
Middle drawdown, every cell	0.1%
Page updated	2026-11-08

MNQ EMA Strategy backtest results, every cell

Every cell is in the picture, not only the strongest. To the right of the black line is above zero. The orange line, when you see one, is the middle.

Each bar is a group of cells with a similar result. The number on a bar is how many cells landed there. Bars to the right of the black line finished above zero.

Each dot is one cell, lined up by chart speed. Dots to the right of the black line finished above zero. The orange line is the middle.

How MNQ EMA Strategy works

Rules in this group usually work like this. It reads a gauge such as RSI, a number that swings between low and high, and it acts when that gauge crosses a line the author chose. Those lines are the rule. Move the lines and the result can change. The next paragraph is this particular rule, which can be narrower than the group.

It can buy, and it can bet on falling prices. It acts only when several checks agree at once. It leans on EMA, RSI; those names are explained on their own pages, further down. The exact line is in the list below, in the author's names, and you can skip that list. When it enters, it also sets a stop or a target, so a trade can close without a new signal.

Each trade uses a fixed size of 5. It holds one trade at a time.

The exact condition, from the code

Same rule, translated from the code, in the author's names. You can skip this list if the paragraph above was enough.

Enters long when not (skip trades) and not ((the bar index − last ema30 exit bar) is below 7) and not ((the bar index − last big win bar21) is below 8) and not (no trade period) and not (recent large candle) and not (block RSI) and the close is above the 200-period EMA of the close and the close is above the 30-period EMA of the close and the close is above the 5-period EMA of the close and the close is above the open and not (the ….
Enters short when not (skip trades) and not ((the bar index − last ema30 exit bar) is below 7) and not ((the bar index − last big win bar21) is below 8) and not (no trade period) and not (recent large candle) and not (block RSI) and the close is below the 300-period EMA of the close and the close is below the 30-period EMA of the close and the close is below the 5-period EMA of the close and the close is below the open and not (the ….
Places a stop at (the average entry price − (122 × mintick)) when a long position is open.
Closes the position when a long position is open and (|(the 200-period EMA of the close − the 30-period EMA of the close)| is at or above (92 × mintick) and the close is below the 30-period EMA of the close or |(the 200-period EMA of the close − the 30-period EMA of the close)| is below (92 × mintick) and the close is below the 13-period EMA of the close).
Closes the position when a long position is open and ((highest since entry − the average entry price) / mintick) is at or above 400 and the close is at or below (highest since entry − (120 × mintick)).
Closes the position when a short position is open and ((the average entry price − lowest since entry) / mintick) is at or above 400 and the close is at or above (lowest since entry + (120 × mintick)).

Buys or sells	It can buy, and it can bet on falling prices.
Tools it calculates	Donchian Channels, EMA, RSI
A second chart speed	No. It uses one chart speed only.
Only at certain hours	Yes. It only acts during set hours.
Adding to a trade	It holds one trade at a time.
How much it trades	Each trade uses a fixed size of 5.
Cost the author assumed	The author assumed no trading cost.

Default settings

The test used the defaults in the middle column. Nothing was turned to help a coin.

Setting	Default	Group
EMA 13 Length	13
EMA 200 Length	200
EMA 30 Length	30
EMA 5 Length	5
EMA 300 Length	300
Sess 1 Bars (18:00–23:59)	9
Sess 1 Range Ticks	92
Sess 2 Bars (00:00–07:29)	18
Sess 2 Range Ticks	136
Sess 3 Bars (07:30–11:59)	24
Sess 3 Range Ticks	120
Sess 4 Bars (12:00–17:00)	16
Sess 4 Range Ticks	44

How the backtest was run

Every strategy was tried the same way, on the settings the author published.

The years are October 2021 to June 2026. The prices are from Bybit, for 13 widely traded coins, mostly on hourly, 4-hour and daily charts, with some faster charts. That was 47,242 tries. The window stored in the files is 2021-09..2026-06.

599 rules produced a finished try. A rule that finished above zero on at least 12 cells, before any fee, was tried again with a fee of 0.12 percent per side. Only buys are counted in that second try. 273 rules got it.

The method, the aggregate results and a downloadable table are on the study page. What the desk does with the results beyond these pages is its own.

This is the second pass. A fee of 0.12 percent per side is taken on the buy and again on the sell. Only buys are counted. If the rule also bets on falling prices, those trades are not in these numbers.

After fees, 4 of 14 cells finished above zero (28.6%). The median of every cell was −0.0%.

0 of the cells cleared a quality check: at least 50 trades, gains that are not one lucky trade, and a drawdown that is real without taking the whole account.

Finished above zero by chart speed: 15-minute chart, 15m 1 of 4; daily chart, 1D 0 of 2; hourly chart, 1h 1 of 3; 30-minute chart, 30m 1 of 2; 4-hour chart, 4h 1 of 3.

Cells tried after the fee	14
Finished above zero	4 (28.6%)
Middle result, the median of every cell	−0.0%
Middle drawdown, every cell	0.1%
Cells that cleared the quality check	0
Middle result, over the cells above zero	+0.0%
Extra, Calmar on the rows above zero. Result divided by the deepest fall	0.00
Extra, Sharpe on the rows above zero. Result divided by how bumpy the path was	0.03
Middle drawdown, the rows above zero	0.0%
Deepest fall, the rows above zero	0.1%
Middle number of trades, the rows above zero	90

Label: backtest · old prices, buys only, a fee of 0.12 percent per side, every cell · Oct 2021 – Jun 2026. Hypothetical results; see the risk disclosure.

How to read the result

How to read the number

The median of every cell is the result of the rule. The author's settings were not changed to help any coin. The weakest and the strongest cells are not a result on their own.

What the number leaves out

0 of 14 cells cleared a quality check: at least 50 trades, a profit factor that is not one lucky trade, and a drawdown that is real without taking the whole account. Profit factor means the gains divided by the losses. Clearing the check describes this sample. It says nothing about the next set of years.

The count above is also split by chart speed. A speed that finished higher, in these years, is one slice of the same rule. It is not a separate strategy.

What this does not show

The useful question is what happens if the author's lines are moved a little. If the result changes a lot, the result is the lines.

Nothing on this page was fit to the cell that finished highest. One coin, one chart speed, or one strong stretch is a single row. It is not the rule. Other years, another exchange, or another fee would be a different measurement.

Questions about MNQ EMA Strategy

What is MNQ EMA Strategy?

MNQ EMA Strategy is a momentum oscillator trading strategy published on TradingView as a Pine Script. In plain terms it is a rule of the kind this site calls a gauge with a line. It can buy, and it can bet on falling prices. It is built on Donchian Channels, EMA, RSI. This page reads the rules from the code and reports what they did on old crypto prices.

How does MNQ EMA Strategy work?

Is MNQ EMA Strategy profitable in a backtest?

In this backtest, more cells lost than gained. After a fee of 0.12 percent per side, 4 of 14 cells finished above zero and the median of every cell was −0.0%. A backtest is a replay on old prices, so it describes these coins and these years, not a future result.

What was the drawdown of MNQ EMA Strategy?

The median drawdown across every cell was 0.1%, and the deepest fall in any cell was 0.3%. Drawdown is the deepest fall from a high point along the way, as a percent of the account at that high.

Which timeframe suited MNQ EMA Strategy?

Counted by cells above zero: 15-minute (15m) 1 of 4; 30-minute (30m) 1 of 2; hourly (1h) 1 of 3; 4-hour (4h) 1 of 3; daily (1D) 0 of 2. The 30-minute chart had the largest share above zero in these years. A chart speed that did better here is one slice of the same rule, not a separate strategy.

Where can I find the MNQ EMA Strategy script?

It is published on TradingView by its author. Search TradingView for the title to find the original script. This page is an independent reading and is not affiliated with the author.

What does backtest mean on this page?

Backtest means the rule was replayed on old prices from Bybit. No real money moved. Every number on this page carries that label, and old prices do not promise anything about new ones.

Words used on this page

Backtest: The rule was tried on old prices. No real money moved.
Cell: One coin on one chart speed. Bitcoin every 4 hours is one cell. Bitcoin once a day is another.
Chart speed: How often a new price bar is drawn. 15m means every 15 minutes, 1h means hourly, 4h means every 4 hours, 1D means once a day.
Fee, per side: A cost taken each time the rule trades. Per side means once on the way in and once on the way out.
Median: Line the cells up from the biggest loss to the biggest gain. The median is the middle one. Half the cells did better and half did worse.
Drawdown: The deepest fall from a high point along the way, as a percent of the account at that high.
Above zero: The account finished with more than it started.

The indicators MNQ EMA Strategy uses

Each has its own page: what it measures, how it is read, where it misleads.

"MNQ EMA Strategy" was published on TradingView by its author, under the author's own license. This page is an independent reading of those rules and of what they did on these old prices. It is not written with the author, and it is not a recommendation. Not every detail survives the translation onto this page, so read the original before you rely on it.

MNQ EMA Strategy