Trading robot · MT4

KD AG Basket Trading

by adiarthagriadhi

This MetaTrader 4 expert advisor implements a multicurrency basket trading strategy based on price action.

GitHub stars1
Forks2
Last update7 years ago16 May 2019
LicenceNone stated

Overview

KD AG Basket Trading evaluates multiple currency pairs simultaneously using a scoring system that compares current price levels to opening prices across five-minute and fifteen-minute timeframes. The robot manages entries automatically and includes risk controls such as fixed take profit, stop loss, and time-based trading windows. It monitors account-wide equity for alerts and limits the total number of open orders to thirty-two. The repository lacks a README, but the code reveals a focus on intraday correlation.

Details

Author

adiarthagriadhi on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4)

Strategy

Trend following, Multi-strategy

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 KD AG Basket 2.01.mq4. Defaults are the author's; change them in the EA's Inputs tab.

NameTypeDefaultDescription
Lotsdouble0.5
TimeFrameENUM_TIMEFRAMES0
TakeProfitint500
StopLossint500
Jamint2
JamCloseint7

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone adiarthagriadhi/BASKET-TRADING-EA 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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