Collection ยท MT4

Anton Voronezh EA Collection

by AntonVoronezh

This repository contains a collection of MetaTrader 4 expert advisors designed for automated forex trading.

High risk

GitHub stars2
Forks1
Last update7 years ago8 Feb 2019
LicenceNone stated

Overview

The robots implement a loss-recovery mechanism that scales lot sizes based on the cumulative deficit of previous losing trades. Each EA includes adjustable parameters for stop loss and take profit targets to manage individual trade risk. The collection features various versions optimized for different timeframes, ranging from hourly to weekly charts. The underlying logic involves tracking order history to determine subsequent position sizing and clearing orders at the start of new weekly candles.

Details

Author

AntonVoronezh on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Martingale, Multi-strategy

Markets

Forex

Timeframes

M15-H1, H4 and above

Risk profile

  • Uses martingale lot scaling: losses can grow fast

Input parameters

Read from 1-2-3-4-5-1w.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
opendouble600300-350
tpdouble700550
sldouble500
hoddouble1
lot_newdoubleโ€”
kolvodouble0
minusdouble0
nedelyadouble1.00001

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone AntonVoronezh/forex 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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