This MetaTrader 4 expert advisor automates trading using a Moving Average crossover strategy, specifically configured for the GBPUSD pair on fifteen-minute charts.
Jack EA4 enters positions based on dual indicator signals and manages them through a combination of money-based take profit targets and lot size scaling. The system includes risk controls such as a daily profit target and a Friday trading filter to avoid weekend volatility. Users can enable a stealth mode to hide execution levels from brokers, though the default settings disable hard stop losses.
Read from expert1.mq4. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
Pair
string
GBP-USD-TimeFrame_M15
magic
int
7749
start_lot
double
0.1
tp_in_money
double
8.0
5.0;
range
double
20.0
25.0;
level
int
10
lot_multiplier
bool
TRUE
multiplier
double
0.0
online data
increament
double
0.0
online data
use_sl_and_tp
bool
FALSE
sl
double
60.0
tp
double
30.0
Show all 25 inputs
Name
Type
Default
Description
stealth_mode
bool
TRUE
use_daily_target
bool
FALSE
daily_target
double
100.0
trade_in_fri
bool
TRUE
UseMA
bool
TRUE
MA_Period1
double
0.0
online data
MA_Shift1
double
0.0
MA_Method1
double
1.0
Applied_Price1
double
0.0
MA_Period2
double
0.0
online data
MA_Shift2
double
0.0
MA_Method2
double
2.0
Applied_Price2
double
0.0
How to Install It
1Download the sourceUse "Download source (.zip)" above, or clone jack139/ea4 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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