Collection · MT4

Mql4 Bot Collection

by jesuscovam

This MetaTrader 4 repository contains a collection of expert advisors focused on simple automated trading logic.

GitHub stars1
Forks0
Last update7 years ago4 Jul 2019
LicenceNone stated

Overview

The scripts include various entry methods such as Relative Strength Index triggers and time-based executions. Risk management is implemented through standard parameters including fixed lot sizing, stop loss, take profit, and trailing stops. Many files appear to be generated by automated strategy builders, providing basic templates for opening and managing single positions. The repository lacks a formal README, serving primarily as a storage for experimental trading scripts.

Details

Author

jesuscovam on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

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 ejemplo de rsi.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
MagicNumberint10001
Lotsdouble0.1
StopLossdouble50
TakeProfitdouble50
TrailingStopint50
Slippageint3

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone jesuscovam/mql4-bot 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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