Collection · MT4

Fujii MQL4 EA Collection

by FujiiKairi

This repository is a collection of over forty MetaTrader 4 expert advisors covering various trading styles and market conditions.

High risk

GitHub stars1
Forks2
Last update6 years ago13 Nov 2019
LicenceNone stated

Overview

Fujii MQL4 EA Collection features the EA31337 multi-strategy framework alongside specialized bots for currency strength, New York session breakout patterns, and Heikin Ashi trend following. The collection includes specific implementations for major pairs like USDJPY and GBPUSD. As the repository lacks a README, the specific risk controls, such as stop loss and lot sizing parameters, vary by individual file and require manual code review.

Details

Author

FujiiKairi on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Multi-strategy, Breakout, Trend following, Mean reversion, Martingale

Markets

Forex

Timeframes

Any timeframe

Risk profile

  • Uses martingale lot scaling: losses can grow fast

Input parameters

Read from EA31337.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
__EA_Parameters__string-- Input EA parameters for " + ea_name + " v" + ea_version +EA31337

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone FujiiKairi/mql4EA 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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