Collection ยท MT4

Investment EA Collection

by MohammadMahdiOmid

This repository provides a collection of MetaTrader 4 expert advisors designed for forex and digital markets.

GitHub stars1
Forks1
Last update5 years ago27 Aug 2021
LicenceNone stated

Overview

The primary expert advisor implements a breakout strategy by placing buy and sell stop orders at a specific distance from the previous day's high and low prices. It includes automated trade management features such as fixed stop loss, take profit, and a trailing stop. The collection also contains separate tools for moving average crossovers and RSI-based trading. Risk is managed via user-defined lot sizes and daily order expiration, though documentation remains minimal.

Details

Author

MohammadMahdiOmid on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Breakout, Indicator crossover, Trend following

Markets

Forex

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.

Input parameters

Read from Trailing_Stop_Expert.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
LOTSIZEdouble0.1
TakeProfitint80
StopLossint40
Distance_Pipint20
TrailingStopint15

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone MohammadMahdiOmid/Investment from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
  3. 3Copy the filesCopy the .mq4 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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