Collection · MT5

MQL5 Experts Collection

by FelipeGaldino

This collection of MetaTrader 5 experts provides a variety of utility tools for data management and external integration.

GitHub stars3
Forks2
Last update6 years ago15 Apr 2020
LicenceNone stated

Overview

The primary focus is on extracting real-time market data, including utilities that send candle information via UDP sockets to local or remote hosts. Other scripts in the repository allow users to count ticks or save tick-by-tick data into CSV files for external analysis. While the codebase includes trade libraries, the primary functionality serves as a bridge or recorder for market activity. The repository is intended as a starting point for developers building custom data pipelines.

Details

Author

FelipeGaldino on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Markets

Any symbol

Timeframes

Any timeframe

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 Expert_ServerUDP_SendCandles_AskBidLast.mq5. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
TipoBarraSwapAsk
CandleSizeint10
Hoststring127.0.0.1HOST
Portushort8888PORTA

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone FelipeGaldino/MQL5-Experts 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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