Collection · MT4

Liangxifeng MT4 Collection

by liangxifeng833

Liangxifeng MT4 Collection is a repository of MetaTrader 4 expert advisors focused on automated trading strategies.

GitHub stars6
Forks5
Last update5 years ago7 Jan 2021
LicenceNone stated

Overview

The primary EA employs a dual moving average crossover system to initiate trades and features a scaling mechanism that increases lot sizes as the market moves in favor of the position. It manages risk through basket-level profit targets and indicator-based exit signals rather than individual trade stop losses. Additional scripts in the collection are designed for hedging and rebate arbitrage across various currency pairs. The provided documentation is minimal.

Details

Author

liangxifeng833 on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Trend following, Indicator crossover, Hedging, Arbitrage

Markets

Forex

Timeframes

Any timeframe

Risk profile

  • Holds opposite positions at once
  • Trades without a fixed stop loss

Input parameters

Read from 19EA顺势加仓.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
magicint1213

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone liangxifeng833/mt4 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, and any .mqh files into the Include folder the code expects.
  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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