Collection · MT4

Lianxi EA Collection

by log22n

This MetaTrader 4 repository contains a collection of expert advisors and utilities, primarily focused on the AM grid robot and various scalping scripts.

High risk

GitHub stars2
Forks1
Last update2 years ago7 Feb 2024
LicenceNone stated

Overview

The main EA employs a grid-based strategy that layers orders at specific distances and includes settings for trend and counter-trend protection. It features a mechanism to switch to secondary parameters based on a floating loss threshold and allows for time-restricted trading sessions. Other included tools are the XP Trade Manager and several scalpers, though the repository provides no README documentation or usage instructions.

Details

Author

log22n on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Grid, Scalping, Trend following, Martingale, Hedging

Markets

Forex

Timeframes

M1-M5, M15-H1

Risk profile

  • Uses martingale lot scaling: losses can grow fast
  • Opens a grid of orders: exposure builds up in a trend
  • Holds opposite positions at once

Input parameters

Read from AM3.1.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
Magicint21777010
CommentsstringEA_AM

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone log22n/lianxi 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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