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This MetaTrader 4 expert advisor is a management utility designed to handle orders opened by other martingale robots. It monitors trade sequences and applies hedging to the initial low-lot positions to mitigate drawdown. The tool provides automated risk controls including fixed take profit, stop loss, trailing stops, a
Trade manager · MT4
NZT USDJPY
NZT USDJPY is a MetaTrader 4 expert advisor specifically tailored for the USD/JPY forex pair.
GitHub stars4
Forks3
Last update10 years ago22 Oct 2015
LicenceNone stated
Overview
The EA monitors tick-by-tick price movements to manage active long and short positions. It employs logic that triggers order closures or modifications based on bid and ask fluctuations relative to reference prices. The software includes routines to adjust stop levels dynamically for specific trade tickets. However, the repository documentation is minimal, and trading parameters are hardcoded within the source file rather than exposed as adjustable user inputs.
- Real-time tick monitoring
- Automated stop level modification
- Bid and Ask price tracking
- USD/JPY currency pair focus
Details
Author
felipemiramontesr on GitHub
Type
Trade manager
Platform
MetaTrader 4 (MQL4)
Strategy
Hedging
Markets
Forex
Timeframes
Any timeframe
Risk Profile
- Holds opposite positions at once
EA Files
How to Install It
- 1Download the sourceUse "Download source (.zip)" above, or clone felipemiramontesr/EA from GitHub, and unzip it.
- 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.
- 3Copy the filesCopy the .mq4 file into Experts.
- 4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
- 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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