Collection · MT5

MQL5 SMC Expert Advisor Collection

by zharfanzahisham

This repository provides a collection of MetaTrader 5 expert advisors based on Smart Money Concepts and ICT methodologies.

GitHub stars6
Forks5
Last update2 years ago10 Apr 2024
LicenceGPL-3.0

Overview

The tools implement price action strategies including Fair Value Gaps, Market Structure Shifts, and the Next Day Model. Each EA handles trade execution with automated risk-based lot sizing and configurable minimum risk-to-reward requirements. The logic utilizes multi-timeframe analysis, checking daily and four-hour candles for directional bias before seeking entries on lower timeframes. These robots are experimental research projects designed for strategy exploration.

Details

Author

zharfanzahisham on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Strategy

SMC / ICT / price action, Scalping, Trend following

Markets

Forex, Gold, Indices

Timeframes

M1-M5, 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.

Input parameters

Read from MMXMScalperV1.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
riskdouble0.05
ESTOffsetint-4
minRRdouble3
maxChancesint1
maxCandlesAfterFVGint2

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone zharfanzahisham/MQL5-Expert-Advisors from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
  3. 3Copy the filesCopy the .mq5 file into Experts.
  4. 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
  5. 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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