Collection · MT4

Project Eingana

by ThePathsOfSaga

This MetaTrader 4 repository contains a collection of expert advisors developed for the Eingana social trading project.

GitHub stars13
Forks10
Last update6 years ago25 Sep 2019
LicenceGPL-3.0

Overview

Project Eingana features multiple strategies, including a Keltner Channel-based mean-reversion system for pairs like EURNZD and EURAUD, alongside a EURUSD scalper. The robots typically enter trades when price action breaks out of volatility bands and use hourly filters to manage participation. Risk management is handled through fixed lot sizing, stop loss, and take profit inputs, though the documentation notes these were primarily developed for educational study.

Details

Author

ThePathsOfSaga on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Mean reversion, Scalping

Markets

Forex

Timeframes

M1-M5, 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.

Topics

mql4forex

Input parameters

Read from [EA] EURNZD - Keltner.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
lotsdouble0.01
SLdouble3
TPdouble2
magicint10

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone ThePathsOfSaga/ProjectEingana 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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