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Collection · MT5

Bot XM MT5 Collection

by TungLT266

This collection of MetaTrader 5 expert advisors provides several distinct trading strategies, including trend following, grid systems, and dollar-cost averaging (DCA).

View on GitHub Download source (.zip)

High risk

GitHub stars1
Forks1
Last update2 years ago7 Jul 2024
LicenceNone stated

Overview

The repository contains multiple specialized files for various instruments like EURUSD and BTCUSD. Traders can configure grid spacing, order volume, and specific price levels for limit and stop orders. The code indicates a reliance on fixed distance layering and periodic timer-based checks for trade management. Risk controls include optional stop loss settings, though default values are often zero. The repository lacks a README or usage instructions.

Details

Author

TungLT266 on GitHub

Type

Collection

Platform

MetaTrader 5 (MQL5)

Strategy

Grid, Trend following, Martingale, Multi-strategy

Markets

Forex, Crypto

Timeframes

Any timeframe

Risk Profile

  • Uses martingale lot scaling: losses can grow fast
  • Opens a grid of orders: exposure builds up in a trend
  • Trades without a fixed stop loss

EA Files

Source

github.com/TungLT266/bot-xm-mt5

How to Install It

  1. 1Download the sourceUse "Download source (.zip)" above, or clone TungLT266/bot-xm-mt5 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, 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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