Trading robot · MT5

Aa Ea

by Psychitechts

This MetaTrader 5 expert advisor implements a multi-strategy approach based on price action and market structure concepts.

GitHub stars1
Forks0
Last update1 year ago9 Jan 2025
LicenceNone stated

Overview

Aa Ea utilizes higher timeframe trend identification via a 200-period Simple Moving Average and seeks entry points on lower timeframes using a 50-period SMA and support or resistance levels. The logic incorporates various triggers such as Market Structure Shifts, liquidity grabs, and Accumulation-Manipulation-Distribution patterns. It includes standard risk management controls with fixed lot sizing, stop loss, and take profit parameters. The repository lacks a README, but the code reveals a diverse set of price action conditions.

Details

Author

Psychitechts on GitHub

Type

Trading robot

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.

EA Files

Input Parameters

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

NameTypeDefaultDescription
LotSizedouble0.02Default lot size
StopLossPipsdouble200Default SL in pips
TakeProfitPipsdouble200Default TP in pips

How to Install It

  1. 1Download the sourceUse "Download source (.zip)" above, or clone Psychitechts/EA 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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