Trading robot · MT4 · MT5

AlgoMaster NNFX

by alexcercos

AlgoMaster NNFX is an algorithm development and testing system for MetaTrader 4 and 5, built specifically to implement the No Nonsense Forex (NNFX) trading methodology.

GitHub stars10
Forks6
Last update2 years ago28 Feb 2024
LicenceBSD-3-Clause

Overview

AlgoMaster NNFX enables users to test trading logic across 28 major forex pairs while managing complex factors like currency exposure, news events, and market volatility through Euro FX Vix filters. The expert advisor handles position sizing and risk controls based on ATR-derived parameters and provides tools for indicator-based entry and exit signals. It is optimized for daily timeframes and focuses on trend-following logic.

Details

Author

alexcercos on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4) and MetaTrader 5 (MQL5)

Strategy

Trend following, Multi-strategy

Markets

Forex

Timeframes

H4 and above

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.

Topics

algorithmbacktestingforexmetatradernnfx

How to install it

  1. 1Download the sourceUse "Download source (.zip)" above, or clone alexcercos/AlgoMasterNNFX-V1 from GitHub, and unzip it.
  2. 2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts or MQL5/Experts.
  3. 3Copy the filesCopy the .mq4 / .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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