Collection · MT4

Viktorzhong MT4 Collection

by viktorzhong

This repository contains a collection of MetaTrader 4 expert advisors, primarily focusing on trend-following and crossover strategies.

GitHub stars18
Forks12
Last update7 years ago9 Jun 2019
LicenceNone stated

Overview

The main EA utilizes moving average crossovers to detect market trends and incorporates stochastic oscillators across multiple timeframes like M15 and H1. It manages risk through percentage-based lot sizing relative to account balance and limits the total number of concurrent orders. The system includes pre-defined stop loss and take profit levels tailored for major currency pairs such as GBPUSD and EURUSD. It also features an optional trailing stop mechanism for trade management.

Details

Author

viktorzhong on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Trend following, Indicator crossover

Markets

Forex

Timeframes

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.

Input parameters

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

NameTypeDefaultDescription
MaxRiskdouble1资金风险1=1%

How to install it

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