This MetaTrader 5 expert advisor utilizes a combination of Bollinger Bands, Relative Strength Index, and Average Directional Index to identify entries. It supports multi-timeframe analysis for trend confirmation and provides optional filters for Average True Range and price action patterns such as hammers. Risk managem
Trading robot · MT5
Institutional Multi Asset EA
This MetaTrader 5 expert advisor focuses on institutional-style trading across forex, indices, and other assets.
GitHub stars2
Forks1
Last update4 months ago19 May 2026
LicenceMIT
Overview
Institutional Multi Asset EA utilizes market structure analysis, including liquidity sweeps and market structure shifts, to identify entries on a M15 timeframe guided by H1 trends. The robot categorizes market states into range, trend, or expansion modes using ADX and ATR, adjusting risk and reward ratios dynamically for each. Trade management features include basket execution, swing-based stop losses on higher timeframes, and a trailing stop mechanism. It also incorporates session filters and manual news protection.
- Market structure shift and liquidity sweep detection
- Dynamic risk allocation based on market volatility
- Multi-mode execution for range and trend environments
- Higher timeframe swing-based stop loss management
- Basket trailing stop and adaptive take profit logic
Details
Author
behrouzjt on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
SMC / ICT / price action, Trend following, Mean reversion, Multi-strategy
Markets
Forex, Indices
Timeframes
M15-H1
Risk profile
No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.
EA files
Input parameters
Read from Institutional_MultiAsset_EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
EntryTF | ENUM_TIMEFRAMES | PERIOD_M15 | |
HTF_TF | ENUM_TIMEFRAMES | PERIOD_H1 | |
MagicNumber | ulong | 14021 | |
SlippagePoints | int | 30 | |
AllowBuy | bool | true | |
AllowSell | bool | true | |
UseDynamicSpread | bool | true | |
MaxSpreadPoints | int | 250 | |
DynamicSpreadATRPercent | double | 0.15 | |
UseSessionFilter | bool | true | |
UseSession1 | bool | true | |
Session1StartHour | int | 9 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
Session1EndHour | int | 11 | |
UseSession2 | bool | true | |
Session2StartHour | int | 15 | |
Session2EndHour | int | 18 | |
UseNewsFilter | bool | false | |
NewsHour1 | int | 15 | |
NewsMinute1 | int | 30 | |
NewsBlockMinutesBefore | int | 30 | |
NewsBlockMinutesAfter | int | 30 | |
ADX_Period | int | 14 | |
ADX_RangeLevel | double | 18.0 | |
ADX_ExpansionLevel | double | 32.0 | |
ATR_Period | int | 14 | |
ATRExpansionMultiplier | double | 1.10 | |
MomentumATRMultiplier | double | 1.20 | |
StructureLookback | int | 80 | |
SweepLookback | int | 20 | |
SweepBufferPoints | double | 30 | |
MSSLookback | int | 6 | |
UsePremiumDiscount | bool | true | |
SL_Mode | ENUM_SL_MODE | SL_SWING | |
FixedSLPoints | double | 800 | |
SwingLookback | int | 12 | |
SwingSL_TF | ENUM_TIMEFRAMES | PERIOD_H1 | higher timeframe for swing SL |
SL_ATR_Multiplier | double | 2.5 | |
SL_BufferPoints | double | 50 | |
SL_AdjustPoints | double | 0 | + wider SL, - tighter SL |
UseDynamicRisk | bool | true |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone behrouzjt/institutional-multi-asset-ea from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
- 3Copy the filesCopy the .mq5 file into Experts.
- 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
- 5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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