Trading robot · MT4

ÆEA

by NataliaTanyatia

ÆEA is an automated trading robot for MetaTrader 4 that employs an ensemble of technical indicators to identify market imbalances.

GitHub stars1
Forks0
Last update9 months ago15 Dec 2025
LicenceApache-2.0
Latest releasev1.0.0alpha1 year ago

Overview

The strategy, described by the author as the Proportionality Principle, triggers trades when a specific ratio of bullish to bearish indicator signals is met. It calculates inputs from a wide variety of standard oscillators including RSI, Stochastic, CCI, and RVI, alongside volume and trend tools like OBV and ADX. Risk is managed through fixed lot sizing and user-defined stop loss and take profit levels, although default settings are set to zero.

Details

Author

NataliaTanyatia on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4)

Strategy

Mean reversion, Indicator crossover

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

  • Trades without a fixed stop loss

Input parameters

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

NameTypeDefaultDescription
Commssionint0
StopLossint0
TakeProfitint0
lotdouble0.01
slipint100
maxint60
minint3
Ccbooltrue
cCbooltrue
invertbooltrue

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone NataliaTanyatia/End-of-Line 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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