Collection · MT4

Michael Balack EA

by ptofc

Michael Balack EA is a collection of MetaTrader 4 scripts and automated trading tools, primarily focusing on session-based range breakouts.

GitHub stars1
Forks0
Last update7 years ago30 Oct 2018
LicenceNone stated

Overview

The main expert advisor identifies the minimum and maximum price levels during a specific user-defined time window. It manages trades using fixed lot sizing and includes parameters for both stop loss and take profit in pips. The repository contains various versions of the core logic alongside utility tools for hidden stop losses and manual close buttons. As the README is missing, users must configure the time inputs manually for their specific market.

Details

Author

ptofc on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Breakout

Markets

Any symbol

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 MichaelBalack_20180927.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
LotSizedouble1
TakeProfitdouble10TakeProfit in pip
StopLossdouble10StopLoss in pip
Beginstring01:00
Endstring10:00

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone ptofc/MT4EA 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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