Collection · MT5

Udemy MQL5 Course Examples

by wandersonxs

This repository is a collection of MetaTrader 5 expert advisors and scripts designed as educational materials for a beginner-to-master MQL5 course.

GitHub stars1
Forks0
Last update7 years ago24 Jul 2019
LicenceNone stated

Overview

The codebase includes various modules demonstrating fundamental programming elements, such as arithmetic operations, loops, arrays, and data types. The included expert advisors focus on teaching trade execution mechanics, such as opening market deals, placing pending orders, and modifying existing positions with stop loss or take profit levels. As an instructional resource, it lacks a cohesive trading strategy, instead providing isolated examples of MetaTrader's trade request architecture and common MQL5 functions.

Details

Input parameters

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

NameTypeDefaultDescription
order_typeENUM_ORDER_TYPEORDER_TYPE_BUY
trade_request_actionsENUM_TRADE_REQUEST_ACTIONSTRADE_ACTION_DEAL
input_volumedouble0.01
input_position_ticketulong
input_sldouble100.0
input_tpdouble100.0
input_pending_deslocamentoint50
input_pending_deslocamento_stop_limitint2
input_position_ticket_opostaulong

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone wandersonxs/udemy-mql5 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.
  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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