Collection · MT5

MQL5 ICT SMC EA Collection

by techteam92

This repository provides a collection of MetaTrader 5 expert advisors focused on Smart Money Concepts and Inner Circle Trader methodologies.

GitHub stars1
Forks0
Last update1 year ago19 Nov 2024
LicenceGPL-3.0

Overview

The included bots automate various trading models such as the Next Day Model, New York session range trading, and Fair Value Gap entries. Each tool utilizes multi-timeframe analysis to determine market bias before seeking entries on lower timeframes. Risk management is handled through user-defined risk percentages per trade and fixed reward-to-risk ratios. The developer states these are experimental research tools with limited documentation.

Details

Author

techteam92 on GitHub

Type

Collection

Strategy

SMC / ICT / price action, Scalping, Breakout, Multi-strategy

Markets

Forex

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 techteam92/MQL-5-Expert-Adviser 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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