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This repository contains a diverse collection of MetaTrader 4 expert advisors and R-based financial scripts. The primary robot is based on the Nanningbob trading system, which utilizes multi-timeframe analysis across daily and four-hour charts to identify trends and ranging markets. It employs Bollinger Bands for mean-
Collection · MT4
Lonnie Coffman Algo Trading Collection
This repository contains a collection of MetaTrader 4 expert advisors and utility functions.
High risk
GitHub stars2
Forks0
Last update8 years ago19 Aug 2018
LicenceNone stated
Overview
The primary component is a multi-symbol dashboard that manages trades using specialized indicators and various exit strategies. It features advanced trade management tools including multiple trailing stop methods such as ATR, Bollinger Bands, and Parabolic SAR. The dashboard provides risk controls like portion closing and martingale-based target scaling. While the collection offers diverse logic for news filtering and symbol management, the official documentation is minimal, necessitating direct code analysis for full implementation.
- Multi-pair dashboard for trade management
- Advanced trailing stops via ATR and Parabolic SAR
- Martingale-based target and loss adjustment logic
- Automated portion closing and risk-based lot sizing
Details
Author
LonnieCoffman on GitHub
Type
Collection
Platform
MetaTrader 4 (MQL4)
Strategy
Multi-strategy, Martingale, Trend following
Markets
Forex
Timeframes
Any timeframe
Risk profile
- Uses martingale lot scaling: losses can grow fast
EA files
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone LonnieCoffman/algorithmicTrading 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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