One included EA uses Keltner Channels and Average True Range to determine market entries and exits. It features configurable risk management, including fixed or percentage-based lot sizing, stop loss, and take profit levels calculated via volatility-based multipliers. A secondary EA in the collection focuses on simple moving average crossovers. The README is minimal and cautions against use on live accounts without prior simulation.
Read from Blair.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
MagicNumber
int
00015
SignalMail
bool
False
Lots
double
1.0
Slippage
int
3
UseStopLoss
bool
True
StopLoss
int
0
UseTakeProfit
bool
True
TakeProfit
int
0
UseTrailingStop
bool
False
TrailingStop
int
0
isSizingOn
bool
True
Risk
int
2
Show all 18 inputs
Name
Type
Default
Description
keltnerPeriod
int
20
tpATR_k
int
3
Toamos múltiples ganancuas de ATR
slATR_k
int
2
Stop Loss de ATR
atr_period
double
20
atr_shift
int
11
Número de barras antes del actual (usados para regla de volatilidad)
timeExitPeriod
int
10
Número de barras que son utilizadas (usadas para unidad genérica)
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone MarioDR09/Robots-para-trading- 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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