Multi-Module ICT Strategy Engine at a glance

Kind of ruleChart turning points (price action and market structure)
Buys or sellsIt can buy, and it can bet on falling prices.
Built onATR, EMA, Pivot points, SMA, pivot low
Where it was publishedTradingView, by its author, as a Pine Script strategy
Tested on43 cells: 15 coins, October 2021 to June 2026, no fee
Cells that placed a trade38 of 43
Middle result before fees−3.7%
Cells above zero6 of 38
Middle drawdown before fees5.0%
Page updated2026-11-08

Multi-Module ICT Strategy Engine 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.

Result against the deepest fallAcross is the deepest fall along the way. Up is the result. Dots above the black line finished above zero. The middle result is −3.7.−630+9.7Deepest fall along the wayResult0+64
Across is the deepest fall along the way. Up is the result. Dots above the black line finished above zero. The middle result is −3.7.
Every cell, one dotEach 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.dailyhourly30-minute4-hour−630+9.7
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 Multi-Module ICT Strategy Engine works

Rules in this group usually work like this. It tries to act the way a person reading a chart would: at spots where price turned, at gaps, and at places where many people are likely to have set a stop. In code those ideas become counts of bars. The result depends on how those spots are defined. 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 ATR, EMA, pivot high, pivot low; 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 2 percent of the account. 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 signal direction differs from 0 and signal direction equals 1.
  • Enters short when signal direction differs from 0 and not (signal direction equals 1).
  • On entry, places a stop at ((the close − (ATR value × Stop Loss (ATR multiplier) (1.5))) when signal direction equals 1, else (the close + (ATR value × Stop Loss (ATR multiplier) (1.5)))), a target at ((the close + (ATR now × Stop Loss (ATR multiplier) (1.5))) when signal direction equals 1, else (the close − (ATR ….
  • On entry, places a stop at ((the close − (ATR value × Stop Loss (ATR multiplier) (1.5))) when signal direction equals 1, else (the close + (ATR value × Stop Loss (ATR multiplier) (1.5)))), a target at ((the close + (ATR now × Stop Loss (ATR multiplier) (1.5))) when signal direction equals 1, else (the close − (ATR ….
  • Places a stop at trade stop, a target at trade target when trade direction differs from 0 and not (the number of open trades equals 0) and signal direction equals 0 and trade direction equals 1.
  • Places a stop at trade stop, a target at trade target when trade direction differs from 0 and not (the number of open trades equals 0) and signal direction equals 0 and not (trade direction equals 1).
Buys or sellsIt can buy, and it can bet on falling prices.
Tools it calculatesATR, EMA, Pivot points, SMA, pivot low
A second chart speedYes. It also looks at a second chart speed.
Only at certain hoursNo.
Adding to a tradeIt holds one trade at a time.
How much it tradesEach trade uses 2 percent of the account.
Cost the author assumedThe author assumed a trading cost of 0.05 percent per side.

Default settings

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

SettingDefaultGroup
Module 1: Acceptance & Rejectionon
Module 2: Swing Failure Patternon
Module 3: HTF Liquidity Magneton
Module 4: Displacementon
Module 5: Fair Value Gapson
Stop Loss (ATR multiplier)1.5
ATR Length14
S/R Lookback Period20
Acceptance Candles Required2
Macro Trend MA Length50
MA TypeEMA
ATR Body-Size Multiplier2
Min Body/Range Ratio0.75
Max Pullback Wait (bars)10
Enter at 50% CE (vs Edge)on
Max Active FVGs Tracked10
FVG Expiry (bars)20
Show S/R Levelson
Show PWH/PWLon
Show FVG Boxeson
Show Displacement Zoneson
Show SL/TP Lineson

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.

Before any fee, it was tried on 43 cells. It placed a trade on 38 of them. 6 of the cells that traded finished above zero (15.8%).

It was not run a second time with a fee. That second pass happens only when at least 12 cells finished above zero before fees. 273 rules got that pass.

Cells tried43
Cells that placed a trade38
Finished above zero6 (15.8% of the cells that traded)
Middle result, before fees−3.7%
Strongest cell, the top of the rangeDOGE daily: +5.8%
Weakest cell, the bottom of the rangeADA 30-minute: −59.2%
Middle drawdown, before fees5.0%

Label: backtest · old prices, zero commission · 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 that traded is the result. No fee has been taken off, so the number is a ceiling. A fee comes off each trade, and this page does not guess that cost, because this rule did not get the second pass where the fee is applied. The weakest and the strongest cells are not a result on their own.

The middle drawdown, on the cells that traded, was 5.0%.

What this does not show

The useful question is how the turning points are counted in the code. A person can be vague. The code has to count bars.

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 Multi-Module ICT Strategy Engine

What is Multi-Module ICT Strategy Engine?

Multi-Module ICT Strategy Engine is a price action and market structure trading strategy published on TradingView as a Pine Script. In plain terms it is a rule of the kind this site calls chart turning points. It can buy, and it can bet on falling prices. It is built on ATR, EMA, Pivot points, SMA, pivot low. This page reads the rules from the code and reports what they did on old crypto prices.

How does Multi-Module ICT Strategy Engine work?

It can buy, and it can bet on falling prices. It acts only when several checks agree at once. It leans on ATR, EMA, pivot high, pivot low; 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.

Is Multi-Module ICT Strategy Engine profitable in a backtest?

Before any fee, 6 of 38 cells that traded finished above zero, and the median of those cells was −3.7%. No fee has been taken off, so that number is a ceiling. The rule did not reach the second pass where a fee is charged on every trade.

Where can I find the Multi-Module ICT Strategy Engine 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 Multi-Module ICT Strategy Engine uses

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

"Multi-Module ICT Strategy Engine" 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.