The robot evaluates price relative to a simple moving average, triggering trades when a specific threshold is met. Users can configure lot sizing as a fixed volume or a percentage of the account balance. It includes inputs for stop loss and take profit levels, though these are disabled by default in the initial configuration. The repository contains minimal documentation, providing a basic implementation of technical indicator-based automation suitable for trend-following approaches.
Read from NeuronMANet.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
Expert_Title
string
MA
Document name
Signal_ThresholdOpen
int
30
Signal threshold value to open [0...100]
Signal_StopLevel
double
0.0
Stop Loss level (in points)
Signal_TakeLevel
double
0.0
Take Profit level (in points)
Signal_MA_PeriodMA
int
14
Moving Average(12,0,...) Period of averaging
Signal_MA_Shift
int
0
Moving Average(12,0,...) Time shift
Signal_MA_Weight
double
30
Moving Average(12,0,...) Weight [0...1.0]
Signal_MA_Method
ENUM_MA_METHOD
MODE_SMA
Moving Average(12,0,...) Method of averaging
Signal_MA_Applied
ENUM_APPLIED_PRICE
PRICE_CLOSE
Moving Average(12,0,...) Prices series
Money_FixLot_Percent
double
10.0
Percent
Money_FixLot_Lots
double
0.01
Fixed volume
How to Install It
1Download the sourceUse "Download source (.zip)" above, or clone YesthisI/MQL5 from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
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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