Trading robot · MT5

MEAS

by elijunior01

MEAS is a scalping robot for MetaTrader 5 that implements a martingale strategy for financial markets.

High risk

GitHub stars1
Forks0
Last update11 years ago13 Mar 2015
LicenceGPL-2.0

Overview

The expert advisor captures small price movements while managing positions through adjustable stop loss and take profit levels. It provides options for either fixed lot sizes or incremental lot increases based on account balance milestones. Additionally, the software includes a trend filtering parameter to align entries with market direction. The documentation and provided source code are minimal, focusing primarily on the core lot management and risk parameters.

Details

Author

elijunior01 on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

Scalping, Martingale, Trend following

Markets

Any symbol

Timeframes

M1-M5

Risk profile

  • Uses martingale lot scaling: losses can grow fast

EA files

Input parameters

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

NameTypeDefaultDescription
stopLossint15
takeProfitint30
lotedouble0.01
loteFixobooltrue
loteIncrementodouble0.01
saldoIncrementoint100
filtrarTendenciabooltrue

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone elijunior01/MEAS 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, and any .mqh files into the Include folder the code expects.
  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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